diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 0af62e04..7c49d14d 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -23,16 +23,15 @@ Please describe the tests that you ran to verify your changes. Provide instructi - [ ] Test B **Test Configuration**: -* Python version: -* Operating System: +- Python version: +- Operating System: ## Reviewers @mention individuals who you specifically want to involve in the discussion for this pull request and mention why they are needed in the discussion/why they are needed to review the pull request. - -## Checklist: +## Checklist - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my own code diff --git a/.github/release.yml b/.github/release.yml index 3c3a8a8e..4e8b9054 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -25,4 +25,4 @@ changelog: - title: 🏥 Package Health labels: [pkg] - title: 🤷‍♂️ Other Changes - labels: ["*"] \ No newline at end of file + labels: ["*"] diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 47cc59fa..53fffcda 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,7 +7,6 @@ on: - master jobs: - qa: runs-on: ubuntu-latest steps: @@ -19,31 +18,28 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.9","3.10","3.11","3.12"] - os: [ubuntu-latest,macos-latest,windows-latest] - + python-version: ["3.9", "3.10", "3.11", "3.12"] + os: [ubuntu-latest, macos-latest, windows-latest] + runs-on: ${{matrix.os}} steps: - - uses: actions/checkout@v4 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python -m pip install --upgrade pip wheel setuptools - pip install -e . - pip install pytest-cov - - name: Run tests and collect coverage - run: python -m pytest --cov=smact --cov-report=xml -v - - name: Upload coverage reports to CodeCov - uses: codecov/codecov-action@v4 - with: - token: ${{ secrets.CODECOV_TOKEN }} - #files: ./coverage.xml - fail_ci_if_error: False - env_vars: OS,PYTHON - verbose: true - - - + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip wheel setuptools + pip install -e . + pip install pytest-cov + - name: Run tests and collect coverage + run: python -m pytest --cov=smact --cov-report=xml -v + - name: Upload coverage reports to CodeCov + uses: codecov/codecov-action@v4 + with: + token: ${{ secrets.CODECOV_TOKEN }} + #files: ./coverage.xml + fail_ci_if_error: False + env_vars: OS,PYTHON + verbose: true diff --git a/.github/workflows/combine-prs.yml b/.github/workflows/combine-prs.yml index 635e50f2..bf718b57 100644 --- a/.github/workflows/combine-prs.yml +++ b/.github/workflows/combine-prs.yml @@ -1,25 +1,25 @@ -name: 'Combine PRs' +name: "Combine PRs" # Controls when the action will run - in this case triggered manually on: workflow_dispatch: inputs: branchPrefix: - description: 'Branch prefix to find combinable PRs based on' + description: "Branch prefix to find combinable PRs based on" required: true - default: 'dependabot' + default: "dependabot" mustBeGreen: - description: 'Only combine PRs that are green (status is success)' + description: "Only combine PRs that are green (status is success)" required: true default: true combineBranchName: - description: 'Name of the branch to combine PRs into' + description: "Name of the branch to combine PRs into" required: true - default: 'combine-prs-branch' + default: "combine-prs-branch" ignoreLabel: - description: 'Exclude PRs with this label' + description: "Exclude PRs with this label" required: true - default: 'nocombine' + default: "nocombine" # A workflow run is made up of one or more jobs that can run sequentially or in parallel jobs: @@ -115,7 +115,7 @@ jobs: core.setFailed('Failed to create combined branch - maybe a branch by that name already exists?'); return; } - + let combinedPRs = []; let mergeFailedPRs = []; for(const { branch, prString } of branchesAndPRStrings) { @@ -133,7 +133,7 @@ jobs: mergeFailedPRs.push(prString); } } - + console.log('Creating combined PR'); const combinedPRsString = combinedPRs.join('\n'); let body = '✅ This PR was created by the Combine PRs action by combining the following PRs:\n' + combinedPRsString; @@ -148,4 +148,4 @@ jobs: head: '${{ github.event.inputs.combineBranchName }}', base: baseBranch, body: body - }); \ No newline at end of file + }); diff --git a/.github/workflows/publish-to-pypi.yml b/.github/workflows/publish-to-pypi.yml index d795e484..605a0649 100644 --- a/.github/workflows/publish-to-pypi.yml +++ b/.github/workflows/publish-to-pypi.yml @@ -3,7 +3,7 @@ name: Publish SMACT distributions to PyPI on: push: tags: - - 'v*' + - "v*" jobs: build-n-publish: diff --git a/.gitignore b/.gitignore index 5b73a91e..8ce2ecee 100644 --- a/.gitignore +++ b/.gitignore @@ -224,4 +224,4 @@ $RECYCLE.BIN/ *.swp -*.bak \ No newline at end of file +*.bak diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 3ff89c33..dce35611 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,24 +1,67 @@ repos: - - repo: https://github.com/timothycrosley/isort - rev: "5.12.0" - hooks: - - id: isort - additional_dependencies: [toml] - args: ["--profile", "black", "--filter-files","--line-length=80"] - - repo: https://github.com/psf/black - rev: "23.1.0" - hooks: - - id: black-jupyter - args: [--line-length=80] - - repo: https://github.com/asottile/pyupgrade - rev: v3.3.1 - hooks: - - id: pyupgrade - args: [--py38-plus] - - repo: https://github.com/nbQA-dev/nbQA - rev: "1.6.1" - hooks: - - id: nbqa-pyupgrade - additional_dependencies: [pyupgrade==3.3.1] - args: [--py38-plus] - + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.6.1 + hooks: + # Run the linting tool + - id: ruff + types_or: [python, pyi] + args: [--fix] + # Run the formatter + - id: ruff-format + types_or: [python, pyi] # TODO: Fix notebooks to remove this + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: check-yaml + - id: end-of-file-fixer + - id: trailing-whitespace + - repo: https://github.com/igorshubovych/markdownlint-cli + rev: v0.41.0 + hooks: + - id: markdownlint + # MD013: line too long + # MD024: Multiple headings with the same content + # MD033: no inline HTML + # MD041: first line in a file should be a top-level heading + # MD025: single title + args: + [ + --ignore, + "dev_docs/design_docs/*", + --disable, + MD013, + MD024, + MD025, + MD033, + MD041, + "--", + ] + - repo: https://github.com/pre-commit/mirrors-prettier + rev: v4.0.0-alpha.8 + hooks: + - id: prettier + args: [--write] # edit files in-place + additional_dependencies: + - prettier + - repo: https://github.com/kynan/nbstripout + rev: 0.7.1 + hooks: + - id: nbstripout + args: [--drop-empty-cells, --keep-output] + - repo: https://github.com/codespell-project/codespell + rev: v2.3.0 + hooks: + - id: codespell + stages: [commit, commit-msg] + args: [--toml, pyproject.toml] + additional_dependencies: + - tomli + - repo: https://github.com/RobertCraigie/pyright-python + rev: v1.1.376 + hooks: + - id: pyright + args: [--level, error] + - repo: https://github.com/adamchainz/blacken-docs + rev: 1.18.0 + hooks: + - id: blacken-docs diff --git a/.readthedocs.yaml b/.readthedocs.yaml index 723ca6ca..51fa3128 100644 --- a/.readthedocs.yaml +++ b/.readthedocs.yaml @@ -1,15 +1,15 @@ version: 2 build: - os: "ubuntu-20.04" + os: "ubuntu-22.04" tools: - python: "3.8" + python: "3.10" # Build documentation in the docs/ directory with Sphinx sphinx: - configuration: docs/conf.py + configuration: docs/conf.py # Explicitly set the version of Python and its requirements python: install: - - requirements: docs/requirements.txt \ No newline at end of file + - requirements: docs/requirements.txt diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..3c620271 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,50 @@ +# Contributing + +This is a quick guide on how to follow best practice and contribute smoothly to `SMACT`. + +## Workflow + +We follow the [GitHub flow](https://docs.github.com/en/get-started/using-github/github-flow), using +branches for new work and pull requests for verifying the work. + +The steps for a new piece of work can be summarised as follows: + +1. Push up or create [an issue](https://github.com/WMD-group/SMACT/issues). +2. Create a branch from main, with a sensible name that relates to the issue. +3. Do the work and commit changes to the branch. Push the branch + regularly to GitHub to make sure no work is accidentally lost. +4. Write or update unit tests for the code you work on. +5. When you are finished with the work, ensure that all of the unit + tests pass on your own machine. +6. Open a pull request [on the pull request page](https://github.com/WMD-group/SMACT/pulls). +7. If nobody acknowledges your pull request promptly, feel free to poke one of the main developers into action. + +## Pull requests + +For a general overview of using pull requests on GitHub look [in the GitHub docs](https://help.github.com/en/articles/about-pull-requests). + +When creating a pull request you should: + +- Ensure that the title succinctly describes the changes so it is easy to read on the overview page +- Reference the issue which the pull request is closing + +Recommended reading: [How to Write the Perfect Pull Request](https://github.blog/2015-01-21-how-to-write-the-perfect-pull-request/) + +## Dev requirements + +When developing locally, it is recommended to install the python packages in `requirements-dev.txt`. + +```bash +pip install -r requirements-dev.txt +``` + +This will allow you to run the tests locally with pytest as described in the main README, +as well as run pre-commit hooks to automatically format python files with isort and black. +To install the pre-commit hooks (only needs to be done once): + +```bash +pre-commit install +pre-commit run --all-files # optionally run hooks on all files +``` + +Pre-commit hooks will check all files when you commit changes, automatically fixing any files which are not formatted correctly. Those files will need to be staged again before re-attempting the commit. diff --git a/README.md b/README.md index 793a36df..d3ac3f2c 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -[![DOI](http://joss.theoj.org/papers/10.21105/joss.01361/status.svg)](https://doi.org/10.21105/joss.01361) +[![DOI](https://joss.theoj.org/papers/10.21105/joss.01361/status.svg)](https://doi.org/10.21105/joss.01361) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5553202.svg)](https://doi.org/10.5281/zenodo.5553202) [![Documentation Status](https://readthedocs.org/projects/smact/badge/?version=latest)](http://smact.readthedocs.org/en/latest/?badge=latest) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) @@ -12,96 +12,94 @@ [![codecov](https://codecov.io/gh/WMD-group/SMACT/branch/master/graph/badge.svg?token=UtgVxjoYNP)](https://codecov.io/gh/WMD-group/SMACT) ![PyPI - Downloads](https://img.shields.io/pypi/dm/smact) -SMACT -===== +# SMACT **Semiconducting Materials from Analogy and Chemical Theory** (SMACT) is a collection of rapid screening and informatics tools that uses data about chemical elements. -- **Documentation:** https://smact.readthedocs.io/en/latest/ -- **Examples:** https://github.com/WMD-group/SMACT/tree/master/examples +- **Documentation:** +- **Examples:** -![](SMACT.png) +![A blue interface with the text "SMACT v3" at the top. Below that, there is a label "Materials Search" followed by two radio buttons: "Hi-fi" and "Lo-fi". The "Lo-fi" button is currently selected](SMACT.png) -*If you torture the data enough, nature will always confess* - Roland Coase (from 'How should economists choose?') +_If you torture the data enough, nature will always confess_ - Roland Coase (from 'How should economists choose?') -Statement of need --------- -There is a strong demand for functional materials across a wide range of technologies. The motivation can include cost reduction, performance enhancement, or to enable a new application. We have developed low-cost procedures for screening hypothetical materials. This framework can be used for simple calculations on your own computer. SMACT follows a top-down approach where a set of element combinations is generated and then screened using rapid chemical filters. It can be used as part of a multi-technique workflow or to feed machine learning models for materials. +## Statement of need -![](smact_simple.gif) +There is a strong demand for functional materials across a wide range of technologies. The motivation can include cost reduction, performance enhancement, or to enable a new application. We have developed low-cost procedures for screening hypothetical materials. This framework can be used for simple calculations on your own computer. SMACT follows a top-down approach where a set of element combinations is generated and then screened using rapid chemical filters. It can be used as part of a multi-technique workflow or to feed artificial intelligence models for materials. + +![A gif depicting using the SMACT code. The first lines of code show how SMACT can be used to access properties of Iron (Fe) by create an Fe Element object and then accessing the oxidation states, pauling electronegativity. The next line after these shows the use of the smact_filter function for the Fe-Cu-O chemical system followed by the lists of possible compositions. ](smact_simple.gif) + +## Getting started -Getting started ------ Features are accessed through Python scripts, importing classes and functions as needed. -The best place to start is looking at [the docs](https://smact.readthedocs.io/en/latest/), which highlight some simple examples of how these classes and functions can be used. -Extended examples are available in [our examples folder](https://github.com/WMD-group/SMACT/tree/master/examples). +The best place to start is looking at [the docs](https://smact.readthedocs.io/en/latest/), which highlight some simple examples of how these classes and functions can be usede +Use cases are available in our [examples](https://github.com/WMD-group/SMACT/tree/master/examples) and [tutorials](https://github.com/WMD-group/SMACT/tree/master/tutorials) folders. + +## Code features -Code features --------- -- At the core of SMACT are [Element](https://smact.readthedocs.io/en/latest/smact.html#smact.Element) and [Species](https://smact.readthedocs.io/en/latest/smact.html#smact.Species) (element in a given oxidation state) classes that have various properties associated with them. +- At the core of SMACT are [Element](https://smact.readthedocs.io/en/latest/smact.html#smact.Element) and [Species](https://smact.readthedocs.io/en/latest/smact.html#smact.Species) (element in a given oxidation state) classes that have various properties associated with them. - Oxidation states that are accessible to each element are included in their properties. -- Element compositions can be screened through based on the heuristic filters of charge neutrality and electronegativity order. This is handled using the [screening module](https://smact.readthedocs.io/en/latest/smact.screening.html) and [this publication](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3) describes the underlying theory. An example procedure is [outlined in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and more examples can be found in the [counting examples subfolder](https://github.com/WMD-group/SMACT/tree/master/examples/Counting). +- Element compositions can be screened through based on the heuristic filters of charge neutrality and electronegativity order. This is handled using the [screening module](https://smact.readthedocs.io/en/latest/smact.screening.html) and [this publication]() describes the underlying theory. An example procedure is [outlined in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and more examples can be found in the [counting examples subfolder](https://github.com/WMD-group/SMACT/tree/master/examples/Counting). -- Further filters can be applied to generated lists of compositions in order to screen for particular properties. These properties are either intrinsic properties of elements or are calculated for compositions using the [properties module](https://smact.readthedocs.io/en/latest/smact.properties.html). For example: - - A use case is shown in [this publication](https://pubs.rsc.org/en/content/articlehtml/2018/sc/c7sc03961a), in which 160,000 chemical compositions are screened based on optical band gap calculated using the [solid-state energy scale](https://www.sciencedirect.com/science/article/pii/S0022459615300888). +- Further filters can be applied to generated lists of compositions in order to screen for particular properties. These properties are either intrinsic properties of elements or are calculated for compositions using the [properties module](https://smact.readthedocs.io/en/latest/smact.properties.html). For example: + + - An application is shown in [this publication](https://pubs.rsc.org/en/content/articlehtml/2018/sc/c7sc03961a), in which 160,000 chemical compositions are screened based on optical band gap calculated using the [solid-state energy scale](https://www.sciencedirect.com/science/article/pii/S0022459615300888). - The [oxidation_states module](https://smact.readthedocs.io/en/latest/smact.oxidation_states.html) can be used to filter out compositions containing metals in unlikely oxidation states according to [a data-driven model](https://pubs.rsc.org/en/content/articlelanding/2018/fd/c8fd00032h#!divAbstract). -- Compositions can also be filtered based on sustainability via the abundance of elements in the Earth's crust or via the [HHI scale](https://pubs.acs.org/doi/10.1021/cm400893e). +- Compositions can also be filtered based on sustainability via the abundance of elements in the Earth's crust or via the [HHI scale](https://pubs.acs.org/doi/10.1021/cm400893e). - Compositions can be converted for use in Pymatgen or for representation to machine learning algorithms ([see "next steps" in this example](https://github.com/WMD-group/SMACT/blob/master/examples/Counting/Generate_compositions_lists.ipynb)) and the related [ElementEmbeddings](https://github.com/WMD-group/ElementEmbeddings) package. -- The code also has tools for manipulating common crystal lattice types: +- The code also has tools for manipulating common crystal lattice types: - Certain structure types can be built using the [builder module](https://smact.readthedocs.io/en/latest/smact.builder.html) - Lattice parameters can be estimated using ionic radii of the elements for various common crystal structure types using the [lattice_parameters module](https://smact.readthedocs.io/en/latest/smact.lattice_parameters.html). - The [lattice module](https://smact.readthedocs.io/en/latest/smact.lattice.html) and [distorter module](https://smact.readthedocs.io/en/latest/smact.distorter.html) rely on the [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase/) and can be used to generate unique atomic substitutions on a given crystal structure. - - The [structure prediction](https://smact.readthedocs.io/en/latest/smact.structure_prediction.html) module can be used to predict the structure of hypothetical compositions using species similarity measures. + - The [structure prediction](https://smact.readthedocs.io/en/latest/smact.structure_prediction.html) module can be used to predict the structure of hypothetical compositions using species similarity measures. - The [dopant prediction](https://smact.readthedocs.io/en/latest/smact.dopant_prediction.html) module can be used to facilitate high-throughput predictions of p-type and n-type dopants of multicomponent solids. -List of modules -------- -* **smact** library containing: - * **\_\_init\_\_.py** Contains the core `Element` and `Species` classes. - * **data_loader.py** Handles the loading of external data used to initialise the core `smact.Element` and `smact.Species` classes. - * **screening.py** Used for generating and applying filters to compositional search spaces. - * **properties.py** A collection of tools for estimating useful properties based on composition. - * **lattice.py** Given the sites, multiplicities and possible oxidation states +## List of modules + +- **smact** library containing: + - **\_\_init\_\_.py** Contains the core `Element` and `Species` classes. + - **data_loader.py** Handles the loading of external data used to initialise the core `smact.Element` and `smact.Species` classes. + - **screening.py** Used for generating and applying filters to compositional search spaces. + - **properties.py** A collection of tools for estimating useful properties based on composition. + - **lattice.py** Given the sites, multiplicities and possible oxidation states at those sites, this reads from the database and generates all possible stoichiometries. - * **builder.py** Builds some common lattice structures, given the chemical + - **builder.py** Builds some common lattice structures, given the chemical composition. - * **lattice_parameters.py** Estimation of lattice parameters for various lattice types using covalent/ionic radii. - * **distorter.py** A collection of functions for enumerating and then + - **lattice_parameters.py** Estimation of lattice parameters for various lattice types using covalent/ionic radii. + - **distorter.py** A collection of functions for enumerating and then substituting on inequivalent sites of a sub-lattice. - * **oxidation_states.py**: Used for predicting the likelihood of species coexisting in a compound based on a statistical model. - * **structure_prediction**: A submodule which contains a collection of tools for facilitating crystal structure predictions via ionic substitutions - * **dopant_prediction**: A submodule which contains a collections of tools for predicting dopants. + - **oxidation_states.py**: Used for predicting the likelihood of species coexisting in a compound based on a statistical model. + - **structure_prediction**: A submodule which contains a collection of tools for facilitating crystal structure predictions via ionic substitutions + - **dopant_prediction**: A submodule which contains a collections of tools for predicting dopants. + +## Requirements -Requirements ------------- The main language is Python 3 and has been tested using Python 3.9+. Basic requirements are Numpy and Scipy. -The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](https://pymatgen.org) are also required for many components. +The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](https://pymatgen.org) are also required for many components. + +## Installation -Installation ------------- The latest stable release can be installed via pip which will automatically set up other Python packages as required: - pip install smact + pip install smact SMACT is also available via conda through the conda-forge channel on Anaconda Cloud: -``` -conda install -c conda-forge smact -``` + conda install -c conda-forge smact Alternatively, the very latest version can be installed using: pip install git+https://github.com/WMD-group/SMACT.git For developer installation SMACT can be installed from a copy of the source -repository (https://github.com/wmd-group/smact); this will be preferred if using experimental code branches. +repository (); this will be preferred if using experimental code branches. To clone the project from GitHub and make a local installation: @@ -112,47 +110,43 @@ To clone the project from GitHub and make a local installation: With -e pip will create links to the source folder so that that changes to the code will be immediately reflected on the PATH. - -License and attribution ------------------------ +## License and attribution Python code and original data tables are licensed under the MIT License. -Development notes ------------------ +## Development notes ### Bugs, features and questions -Please use the [Issue Tracker](https://github.com/WMD-group/smact/issues) to report bugs or request features in the first instance. While we hope that most questions can be answered by searching [the docs](https://smact.readthedocs.io/en/latest/), we welcome new questions on the issue tracker, especially if they helps us improve the docs! For other queries about any aspect of the code, please contact either Dan Davies (author) or Anthony Onwuli (maintainer) by e-mail: d.w.davies@imperial.ac.uk or anthony.onwuli16@imperial.ac.uk respectively. + +Please use the [Issue Tracker](https://github.com/WMD-group/smact/issues) to report bugs or request features in the first instance. While we hope that most questions can be answered by searching [the docs](https://smact.readthedocs.io/en/latest/), we welcome new questions on the issue tracker, especially if they helps us improve the docs! For other queries about any aspect of the code, please contact Anthony Onwuli (maintainer) by [e-mail](mailto:anthony.onwuli16@imperial.ac.uk). ### Code contributions + We are always looking for ways to make SMACT better and more useful to the wider community; contributions are welcome. Please use the ["Fork and Pull"](https://guides.github.com/activities/forking/) workflow to make contributions and stick as closely as possible to the following: - Code style should comply with [PEP8](http://www.python.org/dev/peps/pep-0008) where possible. [Google's house style](https://google.github.io/styleguide/pyguide.html) is also helpful, including a good model for docstrings. - Please use comments liberally when adding nontrivial features, and take the chance to clean up other people's code while looking at it. - Add tests wherever possible, and use the test suite to check if you broke anything. +- Look at the [contributing guide](CONTRIBUTING.md) for more information. ### Tests -Testing modules should be pass/fail and wrapped into **tests/test_core.py** or another **tests/test_something.py** file added, if appropriate. -Run the tests using `python -m pytest -v`. -(The final `-v` is optional and adds more detail to the output.) -We also use integrated testing on GitHub via [GitHub Actions](hhttps://github.com/features/actions). +We use integrated testing on GitHub via [GitHub Actions](https://github.com/features/actions). Testing modules should be pass/fail and wrapped into **tests/test_core.py** or another **tests/test_something.py** file added, if appropriate. +Run the tests using `python -m pytest -v`.(The final `-v` is optional and adds more detail to the output.) -References ----------- +## References [H. Park et al., -"Mapping inorganic crystal chemical space" *Faraday Discuss.* (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c) +"Mapping inorganic crystal chemical space" _Faraday Discuss._ (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c) [D. W. Davies et al., -"SMACT: Semiconducting Materials by Analogy and Chemical Theory" *JOSS* **4**, 1361 (2019)](https://joss.theoj.org/papers/7efd2f2ad60d25bdccee3fbd3fc11448) +"SMACT: Semiconducting Materials by Analogy and Chemical Theory" _JOSS_ **4**, 1361 (2019)](https://joss.theoj.org/papers/7efd2f2ad60d25bdccee3fbd3fc11448) [D. W. Davies et al., -"Materials discovery by chemical analogy: role of oxidation states in structure prediction" *Faraday Discuss.* **211**, 553 (2018)](https://pubs.rsc.org/en/Content/ArticleLanding/2018/FD/C8FD00032H) +"Materials discovery by chemical analogy: role of oxidation states in structure prediction" _Faraday Discuss._ **211**, 553 (2018)](https://pubs.rsc.org/en/Content/ArticleLanding/2018/FD/C8FD00032H) [D. W. Davies et al., -"Computational screening of all stoichiometric inorganic materials" *Chem* **1**, 617 (2016)](http://www.cell.com/chem/abstract/S2451-9294(16)30155-3) +"Computational screening of all stoichiometric inorganic materials" _Chem_ **1**, 617 (2016)]() -[B. R. Pamplin, "A systematic method of deriving new semiconducting -compounds by structural analogy", *J. Phys. Chem. Solids* -**25**, 675 (1964)](http://www.sciencedirect.com/science/article/pii/0022369764901763) \ No newline at end of file +[B. R. Pamplin, "A systematic method of deriving new semiconducting compounds by structural analogy", _J. Phys. Chem. Solids_ +**25**, 675 (1964)](http://www.sciencedirect.com/science/article/pii/0022369764901763) diff --git a/SMACT.png b/SMACT.png index e53dec1b..733a3bc2 100644 Binary files a/SMACT.png and b/SMACT.png differ diff --git a/dev_docs/contribution_guidelines.md b/dev_docs/contribution_guidelines.md index 4a521d82..6c44718b 100644 --- a/dev_docs/contribution_guidelines.md +++ b/dev_docs/contribution_guidelines.md @@ -1,51 +1,51 @@ -# Contributing to SMACT - -This is a quick guide on how to follow best practice and contribute smoothly to `SMACT`. - -## Workflow - -We follow the [GitHub flow] -(), using -branches for new work and pull requests for verifying the work. - -The steps for a new piece of work can be summarised as follows: - -1. Push up or create [an issue](https://guides.github.com/features/issues). -2. Create a branch from master, with a sensible name that relates to the issue. -3. Do the work and commit changes to the branch. Push the branch - regularly to GitHub to make sure no work is accidentally lost. -4. Write or update unit tests for the code you work on. -5. When you are finished with the work, ensure that all of the unit - tests pass on your own machine. -6. Open a pull request [on the SMACT pull request page](https://github.com/WMD-group/SMACT/pulls). -7. If nobody acknowledges your pull request promptly, feel free to poke one of the main developers into action. - -## Pull requests - -For a general overview of using pull requests on GitHub look [in the GitHub docs](https://help.github.com/en/articles/about-pull-requests). - -When creating a pull request you should: - -* Ensure that the title succinctly describes the changes so it is easy to read on the overview page -* Reference the issue which the pull request is closing - -Recommended reading: [How to Write the Perfect Pull Request](https://github.blog/2015-01-21-how-to-write-the-perfect-pull-request/) - -## Dev requirements - -When developing `SMACT` locally, it is recommended to install the python packages in `requirements-dev.txt`. - -```bash -pip install -r requirements-dev.txt -``` - -This will allow you to run the tests locally with pytest as described in the main README, -as well as run pre-commit hooks to automatically format python files with isort and black. -To install the pre-commit hooks (only needs to be done once): - -```bash -pre-commit install -pre-commit run --all-files # optionally run hooks on all files -``` - -Pre-commit hooks will check all files when you commit changes, automatically fixing any files which are not formatted correctly. Those files will need to be staged again before re-attempting the commit. +# Contributing to SMACT + +This is a quick guide on how to follow best practice and contribute smoothly to `SMACT`. + +## Workflow + +We follow the [GitHub flow] +(), using +branches for new work and pull requests for verifying the work. + +The steps for a new piece of work can be summarised as follows: + +1. Push up or create [an issue](https://guides.github.com/features/issues). +2. Create a branch from master, with a sensible name that relates to the issue. +3. Do the work and commit changes to the branch. Push the branch + regularly to GitHub to make sure no work is accidentally lost. +4. Write or update unit tests for the code you work on. +5. When you are finished with the work, ensure that all of the unit + tests pass on your own machine. +6. Open a pull request [on the SMACT pull request page](https://github.com/WMD-group/SMACT/pulls). +7. If nobody acknowledges your pull request promptly, feel free to poke one of the main developers into action. + +## Pull requests + +For a general overview of using pull requests on GitHub look [in the GitHub docs](https://help.github.com/en/articles/about-pull-requests). + +When creating a pull request you should: + +- Ensure that the title succinctly describes the changes so it is easy to read on the overview page +- Reference the issue which the pull request is closing + +Recommended reading: [How to Write the Perfect Pull Request](https://github.blog/2015-01-21-how-to-write-the-perfect-pull-request/) + +## Dev requirements + +When developing `SMACT` locally, it is recommended to install the python packages in `requirements-dev.txt`. + +```bash +pip install -r requirements-dev.txt +``` + +This will allow you to run the tests locally with pytest as described in the main README, +as well as run pre-commit hooks to automatically format python files with isort and black. +To install the pre-commit hooks (only needs to be done once): + +```bash +pre-commit install +pre-commit run --all-files # optionally run hooks on all files +``` + +Pre-commit hooks will check all files when you commit changes, automatically fixing any files which are not formatted correctly. Those files will need to be staged again before re-attempting the commit. diff --git a/dev_docs/design_docs/StructurePredictor.md b/dev_docs/design_docs/StructurePredictor.md index 49796ed1..b8c9ebf9 100644 --- a/dev_docs/design_docs/StructurePredictor.md +++ b/dev_docs/design_docs/StructurePredictor.md @@ -1,112 +1,108 @@ -# Structure Predictor Design Doc ---- - -## Motivation -The `PYMATGEN` structure predictor [based on [this paper](https://pubs.acs.org/doi/10.1021/ic102031h)] is a useful tool for going from chemical composition to a reasonable crystal structure, based on a similarity index of ions. -This tool works particularly well with the `SMACT` methods for generating reasonable compositions. However, there are two major reasons for building our own structure predictor: (i) relying on `PYMATGEN` as a dependancy is less than ideal; (ii) the `PYMATGEN` method is not as fast as it could be, in terms of interfacing with `SMACT`. Therefore we propose implement a similar method in `SMACT`. - -## Required features - -* A composition with structure object (code object) - * Minimal and zippable - * Lattice vectors - * Ion (name and charge) types and numbers - * Coordinates - * It was decided to adopt `POSCAR` style (`VASP5`) -* A database of known materials (database) - * Structures stored in above format - * Each has a unique key - * Each has an id - * `SQLlite` -* $\lambda$ table (data file) - * Contains substitutions probabilities - * Initially take `PYMATGEN` table -* Probability method (code method) - * This calculates the probability of any possible substitution - those above the threshold are passed on. -* An object to store possible substitutions (code object) - * A list of lists -* A mutation method (code method) - * This will replace ions in the known structure with those of the target structure -* A prettify method (code method) - * This will fix species order in the outputs to follow conventions - -## Proposed Workflow - -![workflow](../images/sp_workflow.jpg) - -* Generate a list of target compositions eg for Ba$_2$OF$_2$ `[Ba2+, O2-, F1-, (2, 1, 2)]` -* Make all possible substitutions in the $\lambda-$table (no need to worry about stoichiometry) -* Check the probability of the result -* IF it passes - create the key of the passed result, so if Ca, S, Cl substituting the above formula passed, the key is `Ca_2_2+S_1_2-Cl_2_1-` -* Check if that key exists in the database -* If the key exists add it to our `Substitution list` -* For each key in the substitution list perform a mutation on the structure object that turns it into the target compound -* Prettify the resulting structure object - - -## Suggested development plan - -* A method to convert a composition to a unique key -* A method to generate our structure objects from MP entries -* A database of all MP structures - in our structure format and with keys in our key format -* A method to perform all possible substitutions between the target composition and the elements in the $\lambda$-table -* A method to evaluate the probability of the result -* A method to mutate the structure object - by replacing species with those in the target compound -* A method to prettify the resulting compound structure so that it follows convention - -### Description of elements - -These are some more fleshed out prototypes of objects/methods that are described above. They are open to discussion. - -#### Composition/structure object - - Ca2+ O2- F1- - 1.0 - VECA - VECB - VECC - Ca O F - 2 1 2 - Coordinates - . - . - . - END - -* Ordering consistent with Database key (see below) - -#### Database - -![workflow](../images/database_design.jpg) - -* Entries to be created by a valence bond analysis of structures - -* Simple two field database - * Field 1: database key - * Field 2: location of zipped structure object file - -#### Database Key - -* Information about element, charge and stoichiometry. -* The elements must be ordered by alphabet. -* The species ordered by charge highest to lowest. - -E.g. -* Ba$_2$OF$_2$ -> `Ba_2_2+F_2_1-O_1_2-` -* Fe$_3$O$_4$ -> `Fe_1_2+Fe_2_3+O_3_2-` - -#### Substitution list - -[[[targetA],["subs1A","subs2A",...]],[[targetB],["subs1B"],...] - -* target is a list, the target composition - this is generated rather than stored. After each generation -* subs are keys, for the potential compositions to substitute into - - Example of [[targetX],[subsNX],...] structure - [[[Ba2+, O2-, F1-], ["Ca_2_2+O_1_2-F_2_1-", "Mg_2_2+O_1_2-F_2_1-"]]...] - - - - - - +# Structure Predictor Design Doc + +--- + +## Motivation + +The `PYMATGEN` structure predictor [based on [this paper](https://pubs.acs.org/doi/10.1021/ic102031h)] is a useful tool for going from chemical composition to a reasonable crystal structure, based on a similarity index of ions. +This tool works particularly well with the `SMACT` methods for generating reasonable compositions. However, there are two major reasons for building our own structure predictor: (i) relying on `PYMATGEN` as a dependancy is less than ideal; (ii) the `PYMATGEN` method is not as fast as it could be, in terms of interfacing with `SMACT`. Therefore we propose implement a similar method in `SMACT`. + +## Required features + +- A composition with structure object (code object) + - Minimal and zippable + - Lattice vectors + - Ion (name and charge) types and numbers + - Coordinates + - It was decided to adopt `POSCAR` style (`VASP5`) +- A database of known materials (database) + - Structures stored in above format + - Each has a unique key + - Each has an id + - `SQLlite` +- $\lambda$ table (data file) + - Contains substitutions probabilities + - Initially take `PYMATGEN` table +- Probability method (code method) + - This calculates the probability of any possible substitution - those above the threshold are passed on. +- An object to store possible substitutions (code object) + - A list of lists +- A mutation method (code method) + - This will replace ions in the known structure with those of the target structure +- A prettify method (code method) + - This will fix species order in the outputs to follow conventions + +## Proposed Workflow + +![workflow](../images/sp_workflow.jpg) + +- Generate a list of target compositions eg for Ba$_2$OF$_2$ `[Ba2+, O2-, F1-, (2, 1, 2)]` +- Make all possible substitutions in the $\lambda-$table (no need to worry about stoichiometry) +- Check the probability of the result +- IF it passes - create the key of the passed result, so if Ca, S, Cl substituting the above formula passed, the key is `Ca_2_2+S_1_2-Cl_2_1-` +- Check if that key exists in the database +- If the key exists add it to our `Substitution list` +- For each key in the substitution list perform a mutation on the structure object that turns it into the target compound +- Prettify the resulting structure object + +## Suggested development plan + +- A method to convert a composition to a unique key +- A method to generate our structure objects from MP entries +- A database of all MP structures - in our structure format and with keys in our key format +- A method to perform all possible substitutions between the target composition and the elements in the $\lambda$-table +- A method to evaluate the probability of the result +- A method to mutate the structure object - by replacing species with those in the target compound +- A method to prettify the resulting compound structure so that it follows convention + +### Description of elements + +These are some more fleshed out prototypes of objects/methods that are described above. They are open to discussion. + +#### Composition/structure object + + Ca2+ O2- F1- + 1.0 + VECA + VECB + VECC + Ca O F + 2 1 2 + Coordinates + . + . + . + END + +- Ordering consistent with Database key (see below) + +#### Database + +![workflow](../images/database_design.jpg) + +- Entries to be created by a valence bond analysis of structures + +- Simple two field database + - Field 1: database key + - Field 2: location of zipped structure object file + +#### Database Key + +- Information about element, charge and stoichiometry. +- The elements must be ordered by alphabet. +- The species ordered by charge highest to lowest. + +E.g. + +- Ba$_2$OF$_2$ -> `Ba_2_2+F_2_1-O_1_2-` +- Fe$_3$O$_4$ -> `Fe_1_2+Fe_2_3+O_3_2-` + +#### Substitution list + +[[[targetA],["subs1A","subs2A",...]],[[targetB],["subs1B"],...] + +- target is a list, the target composition - this is generated rather than stored. After each generation +- subs are keys, for the potential compositions to substitute into + + Example of [[targetX],[subsNX],...] structure +[[[Ba2+, O2-, F1-], ["Ca_2_2+O_1_2-F_2_1-", "Mg_2_2+O_1_2-F_2_1-"]]...] diff --git a/docs/conf.py b/docs/conf.py index e65a0e31..76a6d672 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -34,8 +34,19 @@ "sphinx.ext.mathjax", "sphinx.ext.napoleon", "sphinx.ext.viewcode", + "myst_nb", ] +myst_enable_extensions = [ + "amsmath", + "colon_fence", + "deflist", + "dollarmath", + "html_image", +] +myst_url_schemes = ("http", "https", "mailto") +jupyter_execute_notebooks = "off" + # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] @@ -51,18 +62,18 @@ master_doc = "index" # General information about the project. -project = "Smact" -copyright = "2024, Materials Design Group" -author = "Materials Design Group" +project = "SMACT" +copyright = "2024, The SMACT Developers" +author = "The SMACT Developers" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. -version = "2.6" +version = "2.7" # The full version, including alpha/beta/rc tags. -release = "2.6.0" +release = "2.7.0" # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. @@ -112,7 +123,9 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. -html_theme = "sphinx_rtd_theme" +html_theme = "sphinx_book_theme" +html_logo = "smact_toc.jpg" +html_title = "smact" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the @@ -156,6 +169,28 @@ # typographically correct entities. # html_use_smartypants = True +html_theme_options = { + "repository_url": "https://github.com/WMD-Group/SMACT", + "repository_branch": "docs_updates", + "path_to_docs": "docs", + "use_repository_button": True, + # "home_page_in_toc": True, + "launch_buttons": { + "binderhub_url": "https://mybinder.org", + "colab_url": "https://colab.research.google.com", + }, +} + + +# Adding “Edit Source” links on your Sphinx theme +html_context = { + "display_github": True, # Integrate GitHub + "github_user": "WMD-Group", # Username + "github_repo": "SMACT", # Repo name + "github_version": "master", # Version + "conf_py_path": "/docs/", # Path in the checkout to the docs root +} + # Custom sidebar templates, maps document names to template names. # html_sidebars = {} diff --git a/docs/examples.rst b/docs/examples.rst index 9e002273..2cbc9cd8 100644 --- a/docs/examples.rst +++ b/docs/examples.rst @@ -3,238 +3,21 @@ Examples ======== Here we will give a demonstration of how to use some `smact` features. For a full set of -work-through examples in Jupyter Notebook form check out -`the examples section of our GitHub repo `_. +work-through tutorials in Jupyter Notebook form check out the `Tutorials` section of the documentation. + For workflows that have been used in real examples and in published work, visit our `separate repository `_. -=========================== -Element and species classes -=========================== - -The element and species classes are at the heart of :mod:`smact` functionality. Elements are the -elements of the periodic table. Species are elements, with some additional information; the -oxidation state and the coordination environment (if known). So for example the element iron -can have many oxidation states and those oxidation states can have many coordination -environments. - -.. code:: python - - import smact - - iron = smact.Element('Fe') - print("The element %s has %i oxidation states. They are %s." % - (iron.symbol, len(iron.oxidation_states), iron.oxidation_states)) - - The element Fe has 8 oxidation states. They are [-2, -1, 1, 2, 3, 4, 5, 6]. - -When an element has an oxidation state and coordination environment then it has additional -features. For example, the Shannon radius [1]_ of the element is useful for calculating -radius ratio rules [2]_, or for training neural networks [3]_ . - -.. code:: python - - iron_square_planar = smact.Species('Fe', 2, '4_n') - print('Square planar iron has a Shannon radius of %s Angstrom' % iron_square_planar.shannon_radius) - - Square planar iron has a Shannon radius of 0.77 Angstrom - -============= -List building -============= - -Often when using :mod:`smact` the aim will be to search over combinations of a set of elements. This -is most efficiently achieved by setting up a dictionary of the elements that you want to search -over. The easiest way to achieve this in :mod:`smact` is to first create a list of the symbols of the elements -that you want to include, then to build a dictionary of the corresponding element objects. - -The list can be built by hand, or if you want to cover a given range there is a helper function. - -.. code:: python - - import smact - - elements = smact.ordered_elements(13, 27) - print(elements) - - ['Al','Si','P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co'] - -For doing searches across combinations of elements it is then quickest to load the element objects into -a dictionary and search by key. This avoids having to repopulate the element class at each iteration of -the search. - -.. code:: python - - element_list = smact.element_dictionary(elements) - print(element_list) - - {'Al': , - 'Ar': , - 'Ca': , - 'Cl': , - 'Co': , - 'Cr': , - 'Fe': , - 'K': , - 'Mn': , - 'P': , - 'S': , - 'Sc': , - 'Si': , - 'Ti': , - 'V': } - -==================== -Neutral combinations -==================== - -One of the most basic tests for establishing sensible combinations of elements is that they should form charge-neutral -combinations. This is a straightforward combinatorial problem of comparing oxidation states and allowed stoichiometries. - -:math:`\Sigma_i Q_in_i = 0` - -where :math:`i` are the elements in the compound and :math:`Q` are the charges. We have a special function, ``smact_filter``, -which does this checking for a list of elements. The ``smact_filter`` also ensures that all elements specified to be anions -have electronegitivities greater than all elements specified to be cations. - -As input ``smact_filter`` takes: - -* ``els`` : a tuple of the elements to search over (required) -* ``threshold``: the upper limit of the stoichiometric ratios (default = 8) -* ``species_unique``: whether or not we want to consider elements in different oxidation states as unique in our results (default is False). - -We can look for neutral combos. - -.. code:: python - - import smact.screening - import pprint - - elements = ['Ti', 'Al', 'O'] - space = smact.element_dictionary(elements) - # We just want the element items from the dictionary - eles = [e[1] for e in space.items()] - # We set a threshold for the stoichiometry of 4 - allowed_combinations = smact.screening.smact_filter(eles, threshold=4) - pprint.pprint(allowed_combinations) - - [Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(1, 1, 1)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(1, 3, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(2, 4, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(3, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(4, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(2, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(3, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(4, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -1), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -1), stoichiometries=(2, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -2), stoichiometries=(3, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(1, 2, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(1, 4, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(2, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(3, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -1), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -1), stoichiometries=(1, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(2, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(3, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 3, -2), stoichiometries=(1, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -2), stoichiometries=(1, 3, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 2, -2), stoichiometries=(2, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 3, -2), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 1, -2), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 1, -2), stoichiometries=(1, 4, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 2, -2), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 2, -2), stoichiometries=(1, 2, 4))] - - -There is `an example `_ -of how this function can be combined with multiprocessing to rapidly explore large subsets of chemical space. - -========================== -Compound electronegativity -========================== - -One property that is often used in high-throughput screening where band alignment is important is the -compound electronegativity. Ginley and Butler showed how the simple geometric mean of the -electronegitivities of a compound could be used to predict flat band potentials [4]_. :mod:`smact` has a built -in function to calculate this property for a given composition. - -.. code:: python - - import smact.properties - - compound_electronegs = [smact.properties.compound_electroneg(elements = a[0], stoichs = a[1]) for \\ - a in allowed_combinations] - - print(compound_electronegs) - - [4.319343517137848, - 4.729831837874991, - 4.462035251666306, - 4.337155845378665, - 5.0575817742802025, - 4.777171739263751, - 4.427325394494835, - 5.34030430325585, - 4.583732423414276, - 4.980129115226567, - 4.652147502981397, - 5.284089129411956, - 4.726884428924315, - 4.373001170931816, - 4.808336266651247, - 5.041995471272069, - 4.587722671269271, - 5.437592861777965, - 5.010966817423813, - 4.964781503487637, - 4.768922515748819, - 4.409142747625072, - 5.74200359520417, - 4.677126472294396] - -=============================== -Interfacing to machine learning -=============================== - -When preparing to build machine learning models, we have to convert the chemical compositions into -something that can be fed into an algorithm. Many of the properties provided in :mod:`smact` are suitable for this, -one can take properties like electronegativity, mass, electron affinity, etc. (for the full list see -:ref:`smact_module`). - -One useful representation in machine learning is the one-hot-vector formulation. A similar -construction to this can be used to encode a chemical formula. A vector of length covering the periodic table is -constructed and each element is set to a number corresponding to the stoichiometric ratio of that element in the compound. -For example we could convert :math:`Ba(OH)_2` - -.. code:: python - - ml_vector = smact.screening.ml_rep_generator(['Ba', 'H', 'O'], stoichs=[1, 2, 2]) - -There is also `an example `_ -demonstrating the conversion of charge-neutral compositions produced by `smact` to a list of formulas using Pymatgen, -or to a Pandas dataframe, both of which could then be used as input for a machine learning algorithm. -For a full machine learning example that uses `smact`, there is a repository `here `_ -which demonstrates a search for solar energy materials from the four-component (quaternary) oxide materials space. - -.. [1] "Revised effective ionic radii and systematic studies of interatomic distances in halides and chalcogenides" Acta Cryst. A. **32**, 751–767 (1976). - -.. [2] "Crystal structure and chemical constitution" Trans. Faraday Soc. **25**, 253-283 (1929). - -.. [3] "Deep neural networks for accurate predictions of crystal stability" Nat. Comms. **9**, 3800 (2018). - -.. [4] "Prediction of flatband potentials at semiconductor‐electrolyte interfaces from atomic electronegativities" J. Electrochem. Soc. **125**, 228-232 (1975). +.. toctree:: + :maxdepth: 1 + + examples/elements_and_species + examples/filter + examples/validity + examples/lists + examples/neutral_combos + examples/oxidation_states + examples/compound_electroneg + examples/valence_electron_count + examples/doper + examples/distorter diff --git a/docs/examples/compound_electroneg.ipynb b/docs/examples/compound_electroneg.ipynb new file mode 100644 index 00000000..a851b1ba --- /dev/null +++ b/docs/examples/compound_electroneg.ipynb @@ -0,0 +1,66 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": { + "tags": [] + }, + "source": [ + "# Using compound electronegativity\n", + "\n", + "One property that is often used in high-throughput screening where band alignment is important is the\n", + "compound electronegativity. Ginley and Butler showed how the simple geometric mean of the\n", + "electronegitivities of a compound could be used to predict flat band potential. `smact` has a built\n", + "in function to calculate this property for a given composition." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[7.295419353970365, 5.2443464083242155]\n" + ] + } + ], + "source": [ + "import smact.properties\n", + "\n", + "allowed_combinations = [([\"H\", \"O\"], [2, 1]), ([\"Ba\", \"Ti\", \"O\"], [1, 1, 3])]\n", + "\n", + "compound_electronegs = [smact.properties.compound_electroneg(elements=a[0], stoichs=a[1]) for a in allowed_combinations]\n", + "\n", + "print(compound_electronegs)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/distorter.ipynb b/docs/examples/distorter.ipynb similarity index 78% rename from examples/distorter.ipynb rename to docs/examples/distorter.ipynb index 61af2bec..53a7212e 100644 --- a/examples/distorter.ipynb +++ b/docs/examples/distorter.ipynb @@ -15,16 +15,32 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Substitution 1: Replacing Ba with Sr at site [0. 0. 0.5]\n", + "----------------------------------------\n", + "Substitution 2: Replacing Ba with Sr at site [0. 0.5 0.5]\n", + "----------------------------------------\n", + "Substitution 3: Replacing Ba with Sr at site [0.5 0. 0. ]\n", + "----------------------------------------\n", + "Substitution 4: Replacing Ba with Sr at site [0.5 0. 0.5]\n", + "----------------------------------------\n", + "Substitution 5: Replacing Ba with Sr at site [0.5 0.5 0.5]\n", + "----------------------------------------\n", + "Substitutions completed\n" + ] + } + ], "source": [ "import smact.builder as builder\n", "import smact.distorter as distorter\n", "import numpy as np\n", "\n", "# Step 1: Build the initial cubic perovskite structure\n", - "smact_lattice, test_case = builder.cubic_perovskite(\n", - " [\"Ba\", \"Ti\", \"O\"], repetitions=[2, 2, 2]\n", - ")\n", + "smact_lattice, test_case = builder.cubic_perovskite([\"Ba\", \"Ti\", \"O\"], repetitions=[2, 2, 2])\n", "\n", "# Step 2: Perform a single substitution\n", "subs_site = [0.0, 0.0, 0.0]\n", @@ -53,7 +69,7 @@ " substituted_structures.append(distorted) # Store the structure for visualization\n", " print(\"-\" * 40)\n", "\n", - "print(\"Substitutions completed\")\n" + "print(\"Substitutions completed\")" ] }, { diff --git a/docs/examples/doper.ipynb b/docs/examples/doper.ipynb new file mode 100644 index 00000000..ab1d06db --- /dev/null +++ b/docs/examples/doper.ipynb @@ -0,0 +1,162 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using doper\n", + "\n", + "The Doper module includes the `get_dopants` function. This function requires an input, which is a tuple of strings representing the ionic species of the material.\n", + "\n", + "By default, the top five p-type and n-type candidates are reported. Use the `num_dopants` input to modify the number of outputs.\n", + "\n", + "### Output Format\n", + "The output is a dictionary with keys:\n", + "- \"n_type_cation\"\n", + "- \"p_type_cation\"\n", + "- \"n_type_anion\"\n", + "- \"p_type_anion\"\n", + "\n", + "Each key contains a list of possible dopants, ordered by probability (Highest → Lowest). Each possible dopant is represented as a tuple: `('substituted dopant', 'original species', 'probability')`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [], + "source": [ + "from smact.dopant_prediction.doper import Doper\n", + "\n", + "# Define the material using its ionic species.\n", + "# Here, we are creating a material object with titanium in the 4+ oxidation state (Ti4+) and oxygen in the 2- oxidation state (O2-).\n", + "material = Doper((\"Ti4+\", \"O2-\"))\n", + "\n", + "# Use the `get_dopants` function to predict potential dopants.\n", + "# By default, it returns the top 5 p-type and n-type dopants, but this can be adjusted with the `num_dopants` parameter.\n", + "# The output will be a dictionary with possible n-type and p-type cation and anion dopants.\n", + "dopants = material.get_dopants(num_dopants=5)\n", + "\n", + "# Print the dopant predictions.\n", + "# Each entry in these lists is a tuple: ('substituted dopant', 'original species', 'probability').\n", + "print(dopants)" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "The results can be presented in a table format using the `to_table` attribute." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "material.to_table" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Ternary and multicomponent systems can also be dealt with." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [], + "source": [ + "quaternary = Doper((\"Cu1+\", \"Zn2+\", \"Ge4+\", \"S2-\"))\n", + "quaternary.get_dopants()" + ] + }, + { + "cell_type": "markdown", + "id": "6", + "metadata": {}, + "source": [ + "If you want to plot the results in the form of heatmap, use `plot_dopants` method.\n", + "\n", + "The default heatmap is 'YlOrRd'. Refer to the matplotlib documentation for other options using \"cmap\" parameter." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": {}, + "outputs": [], + "source": [ + "quaternary.plot_dopants(cmap=\"Reds\")" + ] + }, + { + "cell_type": "markdown", + "id": "8", + "metadata": {}, + "source": [ + "## Alternative metrics\n", + "\n", + "The probability values for the dopants are calculated based on the algorithm presented in:\n", + " [Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011)\n", + " Data Mined Ionic Substitutions for the Discovery of New Compounds.\n", + " Inorganic Chemistry, 50(2), 656-663](https://pubs.acs.org/doi/10.1021/ic102031h)\n", + " \n", + "In SMACT, we can also provide alternative ways for determining the possible dopants based on alternative probability or similarity metrics.\n", + "\n", + "For example, we have a similarity metric based on distributed representations of the ions, which we call `skipspecies`. This metric is based on the idea that similar ions should have similar embeddings. The similarity is calculated based on the cosine similarity of the embeddings of the ions." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9", + "metadata": { + "is_executing": true + }, + "outputs": [], + "source": [ + "doper_skipspecies = Doper((\"Ti4+\", \"O2-\"), embedding=\"skipspecies\", use_probability=False)\n", + "doper_skipspecies.get_dopants(5)\n", + "# Present results in a table\n", + "doper_skipspecies.to_table" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/elements_and_species.ipynb b/docs/examples/elements_and_species.ipynb new file mode 100644 index 00000000..ddd25e3f --- /dev/null +++ b/docs/examples/elements_and_species.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using element and species classes\n", + "\n", + "The element and species classes are at the heart of `smact` functionality. Elements are the elements of the periodic table. Species are elements, with some additional information; the oxidation state and the coordination environment (if known). So for example the element iron can have many oxidation states and those oxidation states can have many coordination environments." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The element Fe has 8 oxidation states. They are [-2, -1, 1, 2, 3, 4, 5, 6].\n" + ] + } + ], + "source": [ + "import smact\n", + "\n", + "iron = smact.Element(\"Fe\")\n", + "print(\n", + " \"The element %s has %i oxidation states. They are %s.\"\n", + " % (iron.symbol, len(iron.oxidation_states), iron.oxidation_states)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "When an element has an oxidation state and coordination environment then it has additional features. For example, the Shannon radius of the element is useful for calculating radius ratio rules, or for training neural networks." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Square planar iron has a Shannon radius of None Angstrom\n" + ] + } + ], + "source": [ + "iron_square_planar = smact.Species(\"Fe\", 2, \"4_n\")\n", + "print(\"Square planar iron has a Shannon radius of %s Angstrom\" % iron_square_planar.shannon_radius)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/filter.ipynb b/docs/examples/filter.ipynb new file mode 100644 index 00000000..25eb84bf --- /dev/null +++ b/docs/examples/filter.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using filter \n", + "\n", + "The `smact_filter` function from the `smact.screening` module screens possible combinations of elements in a chemical system. It applies chemical rules to filter and return valid compositions.\n", + "\n", + "In the following example, we apply `smact_filter` to a combination of elements to find valid compositions within a stoichiometry threshold." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'(elements), (charges), (stoichiometry)'\n", + "[(('Ti', 'Ga', 'O'), (1, 1, -2), (1, 1, 1)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -2), (1, 3, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -2), (3, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (2, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -2), (2, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -2), (2, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -1), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 3, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 3, -2), (3, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -2), (1, 2, 2)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -2), (2, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -1), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (2, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (3, 1, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (3, 1, -2), (1, 3, 3)),\n", + " (('Ti', 'Ga', 'O'), (3, 3, -2), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (4, 1, -2), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (4, 2, -2), (1, 1, 3))]\n" + ] + } + ], + "source": [ + "import smact\n", + "from smact.screening import smact_filter\n", + "import pprint\n", + "\n", + "# Define a list of elements to screen\n", + "elements = [\"Ti\", \"Ga\", \"O\"]\n", + "\n", + "# Convert element symbols into smact.Element objects\n", + "element_objects = [smact.Element(e) for e in elements]\n", + "\n", + "# Apply smact_filter to find valid compositions within a stoichiometry threshold\n", + "allowed_combinations = smact_filter(element_objects, threshold=3)\n", + "\n", + "# Display the allowed combinations in a readable format\n", + "pprint.pprint(\"(elements), (charges), (stoichiometry)\")\n", + "pprint.pprint(allowed_combinations)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/lists.ipynb b/docs/examples/lists.ipynb new file mode 100644 index 00000000..93cd41f0 --- /dev/null +++ b/docs/examples/lists.ipynb @@ -0,0 +1,94 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Building lists\n", + "\n", + "Often when using `smact` the aim will be to search over combinations of a set of elements. This\n", + "is most efficiently achieved by setting up a dictionary of the elements that you want to search\n", + "over. The easiest way to achieve this in :mod:`smact` is to first create a list of the symbols of the elements\n", + "that you want to include, then to build a dictionary of the corresponding element objects.\n", + "\n", + "The list can be built by hand, or if you want to cover a given range there is a helper function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co']\n" + ] + } + ], + "source": [ + "import smact\n", + "\n", + "elements = smact.ordered_elements(13, 27)\n", + "print(elements)" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "For doing searches across combinations of elements it is then quickest to load the element objects into\n", + "a dictionary and search by key. This avoids having to repopulate the element class at each iteration of\n", + "the search." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'Al': , 'Si': , 'P': , 'S': , 'Cl': , 'Ar': , 'K': , 'Ca': , 'Sc': , 'Ti': , 'V': , 'Cr': , 'Mn': , 'Fe': , 'Co': }\n" + ] + } + ], + "source": [ + "element_list = smact.element_dictionary(elements)\n", + "print(element_list)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/oxidation_states.ipynb b/docs/examples/oxidation_states.ipynb new file mode 100644 index 00000000..43b33b00 --- /dev/null +++ b/docs/examples/oxidation_states.ipynb @@ -0,0 +1,231 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using oxidation states\n", + "\n", + "Here, we will demonstrate the main functionalities of the `oxidation_states` submodule of SMACT." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "from pymatgen.core import Structure\n", + "from smact import Species\n", + "from smact.oxidation_states import Oxidation_state_probability_finder" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getting started with the oxidation_states submodule\n", + "\n", + "The main class of the `smact.oxidation_states` submodule is `Oxidation_state_probability_finder`. We will demonstrate the usage of the methods of this class below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Instantiate the oxidation state probability finder class with the default table\n", + "ox_prob_finder = Oxidation_state_probability_finder()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After instantiating the class, we can examine what species are included in the probability table through the `get_included_species` method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The species included in the probability table for the oxidation states model are show below \n", + "['O-2', 'Cl-1', 'Se-2', 'F-1', 'I-1', 'S-2', 'Te-2', 'Br-1', 'Ag2', 'Re4', 'Sc3', 'Mn2', 'Ag3', 'Re3', 'Ir5', 'La2', 'Bi5', 'Ge2', 'Ir4', 'Tm2', 'W5', 'Hg1', 'W2', 'Eu2', 'Ta4', 'In3', 'Hg2', 'Cu3', 'Cr2', 'K1', 'Ir3', 'Hf2', 'Sc1', 'Er3', 'Mo2', 'Co2', 'Yb2', 'Fe2', 'Re2', 'Ni2', 'Bi3', 'U4', 'Co3', 'Eu3', 'Fe3', 'Ru3', 'Ge4', 'Pd4', 'Mg2', 'Nd3', 'Cd2', 'Rh1', 'Fe4', 'Ho2', 'Ta2', 'Ru5', 'Tl3', 'Co1', 'Ti4', 'La1', 'Mn6', 'Ru4', 'Tl1', 'In1', 'Nb3', 'Ta3', 'Ga3', 'Re6', 'U6', 'Sr2', 'Zr4', 'Pr3', 'W3', 'U5', 'Al3', 'Cr3', 'Sn2', 'Ag1', 'Cu2', 'Zr1', 'Re7', 'Ti2', 'Re5', 'Pr2', 'Cr6', 'Mn3', 'Co4', 'Ni1', 'V3', 'Zn2', 'Sm3', 'Sn3', 'Tb1', 'Ru6', 'Y2', 'Tm3', 'Tb4', 'Cs1', 'Nb1', 'Th4', 'Cr5', 'Ni4', 'Rh4', 'W4', 'Sb5', 'Dy2', 'Pb2', 'Ni3', 'Ce3', 'Bi1', 'Sb3', 'Mn7', 'Nb5', 'Ti3', 'Ho3', 'Ga2', 'Th3', 'Rb1', 'V2', 'V4', 'Mo4', 'Ce4', 'Ta5', 'Na1', 'Gd2', 'Hf4', 'Ge3', 'Mn4', 'Mn1', 'Ta1', 'Y3', 'Bi2', 'Ga1', 'Nd2', 'Mo6', 'U3', 'Zr3', 'Pd2', 'Tb3', 'W6', 'Pb4', 'Mn5', 'Ba2', 'Mo3', 'Ir6', 'Gd3', 'In2', 'Sb4', 'Rh3', 'Ca2', 'Zr2', 'Sm2', 'Sc2', 'Be2', 'La3', 'V5', 'Lu3', 'U2', 'Cr4', 'Dy3', 'Y1', 'Ru2', 'Tb2', 'Cu1', 'Nb2', 'Pd3', 'Yb3', 'Mo5', 'Ce2', 'Fe1', 'Li1', 'Nb4', 'Sn4']\n" + ] + } + ], + "source": [ + "included_species = ox_prob_finder.get_included_species()\n", + "\n", + "print(\n", + " f\"The species included in the probability table for the oxidation states model are show below \\n{included_species}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can compute the probability of a cation-anion pair appearing together using the method `pair_probability` as demonstrated below for Al3+ and O2-. The pair probability for a species-anion pair ($P_{SA}$) is given by:\n", + "\n", + "$P_{SA} = \\frac{N_{SX}}{N_{MX}}$\n", + "\n", + "where $N_{MX}$ is the total number of compounds containing the metal element M, and X is the most electronegative anion." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is 1.0\n" + ] + } + ], + "source": [ + "Al = Species(\"Al\", oxidation=3, coordination=6)\n", + "O = Species(\"O\", oxidation=-2, coordination=6)\n", + "\n", + "print(\n", + " f\" The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is {ox_prob_finder.pair_probability(Al,O)}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also compute the compound probability which for a ternary compound, AaBbXx, is given by:\n", + "\n", + "$P_{A_{a}B_{b}X_{x}} = P_{AX}P_{BX} = \\frac{N_{AX}}{N_{M_{A}X}} \\times \\frac{N_{BX}}{N_{M_{B}X}}$\n", + "\n", + "We will calculate $P_{CaAl_{2}O_{4}}$." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The compound probability for CaAl2O4 is 1.0.\n" + ] + } + ], + "source": [ + "# Create a list of species for our compound of interest\n", + "CaAl2O4 = [Species(\"Ca\", 2), Species(\"Al\", 3), Species(\"O\", -2)]\n", + "\n", + "prob_compound = ox_prob_finder.compound_probability(CaAl2O4)\n", + "\n", + "print(f\"The compound probability for CaAl2O4 is {prob_compound}.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can compute this compound probability for a pymatgen Structure as well." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The structure of mp-540839 CsPbI3:\n", + "\n", + "Full Formula (Cs4 Pb4 I12)\n", + "Reduced Formula: CsPbI3\n", + "abc : 4.847142 10.650447 18.031199\n", + "angles: 90.000000 90.000000 90.000000\n", + "pbc : True True True\n", + "Sites (20)\n", + " # SP a b c\n", + "--- ---- ---- -------- --------\n", + " 0 Cs+ 0.75 0.581276 0.17212\n", + " 1 Cs+ 0.25 0.418724 0.82788\n", + " 2 Cs+ 0.75 0.081276 0.32788\n", + " 3 Cs+ 0.25 0.918724 0.67212\n", + " 4 Pb2+ 0.25 0.661849 0.439217\n", + " 5 Pb2+ 0.75 0.338151 0.560783\n", + " 6 Pb2+ 0.25 0.161849 0.060783\n", + " 7 Pb2+ 0.75 0.838151 0.939217\n", + " 8 I- 0.75 0.837211 0.502045\n", + " 9 I- 0.25 0.162789 0.497955\n", + " 10 I- 0.75 0.337211 0.997955\n", + " 11 I- 0.25 0.662789 0.002045\n", + " 12 I- 0.25 0.529272 0.612308\n", + " 13 I- 0.75 0.470728 0.387692\n", + " 14 I- 0.25 0.029272 0.887692\n", + " 15 I- 0.75 0.970728 0.112308\n", + " 16 I- 0.25 0.796317 0.287306\n", + " 17 I- 0.75 0.203683 0.712694\n", + " 18 I- 0.25 0.296317 0.212694\n", + " 19 I- 0.75 0.703683 0.787306\n", + "\n", + "The compound probability for CsPbI3 is 1.0.\n" + ] + } + ], + "source": [ + "# Load the structure file\n", + "\n", + "struct = Structure.from_file(\"cspbi3.cif\")\n", + "print(\"The structure of mp-540839 CsPbI3:\\n\")\n", + "print(struct)\n", + "\n", + "\n", + "# Get the compound probability for CsPbI3\n", + "prob = ox_prob_finder.compound_probability(struct)\n", + "\n", + "print(f\"\\nThe compound probability for CsPbI3 is {prob_compound}.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.8.13 ('smact_tests')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/valence_electron_count.ipynb b/docs/examples/valence_electron_count.ipynb new file mode 100644 index 00000000..a5bc28c6 --- /dev/null +++ b/docs/examples/valence_electron_count.ipynb @@ -0,0 +1,73 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using the valence electron concentration\n", + "\n", + "A property that is often used in studies of metallic compounds is the valence electron concentration (VEC). It has proven useful in determining the phase stability of intermetallic compounds and in predicting the crystal structure of metallic compounds. The VEC is defined as the number of valence electrons per atom in a compound.\n", + "\n", + "It's formula is given by:\n", + "\n", + "$$\\text{VEC} = \\sum_{i=1}^{n} c_{i}(\\text{VEC})_{i}$$\n", + "\n", + "\n", + "where $c_{i}$ is the concentration of the $i$-th element in the compound and $(\\text{VEC})_{i}$ is the valence electron concentration of the $i$-th element.\n", + "\n", + "`smact` has a built-in function to calculate the VEC of a compound. Let's see how to use it." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cu0.5NiAlCoCrFeSi has a VEC of 7.00\n", + "WNbMoTa has a VEC of 5.50\n", + "AlCoCrCu0.5FeNi3 has a VEC of 8.20\n", + "Ca65Mg15Zn20 has a VEC of 4.00\n" + ] + } + ], + "source": [ + "import smact.properties # Importing the SMACT properties module\n", + "\n", + "# List of chemical formulas for which VEC will be calculated\n", + "formulas = [\"Cu0.5NiAlCoCrFeSi\", \"WNbMoTa\", \"AlCoCrCu0.5FeNi3\", \"Ca65Mg15Zn20\"]\n", + "\n", + "# Calculate VEC for each formula using a list comprehension\n", + "valence_electron_concentrations = [smact.properties.valence_electron_count(formula) for formula in formulas]\n", + "\n", + "# Print the VEC for each formula\n", + "for formula, vec in zip(formulas, valence_electron_concentrations):\n", + " print(f\"{formula} has a VEC of {vec:.2f}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "smact_dev", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/validity.ipynb b/docs/examples/validity.ipynb new file mode 100644 index 00000000..e41e5daf --- /dev/null +++ b/docs/examples/validity.ipynb @@ -0,0 +1,87 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using validity \n", + "\n", + "The `smact_validity` function from the `smact.screening` module is used to validate chemical compositions according to the chemical rules. A composition is considered valid if it passes two key tests:\n", + "\n", + "1. **Charge Neutrality Test**: Ensures that the composition is charge-balanced.\n", + "\n", + "2. **Pauling Electronegativity Test**: Ensures that the elements in the composition have appropriate electronegativity differences.\n", + "\n", + "In this example, we apply the `smact_validity` function to a list of chemical compounds extracted from a dataset. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Compound smact_allowed\n", + "0 NaCl True\n", + "1 K2O True\n", + "2 Fe2O3 True\n", + "3 C12H22O11 False\n", + "4 CsO8 False\n", + "smact_allowed\n", + "True 0.6\n", + "False 0.4\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from smact.screening import smact_validity\n", + "import re\n", + "\n", + "# Dataset\n", + "data = [\"NaCl\", \"K2O\", \"Fe2O3\", \"C12H22O11\", \"CsO8\"]\n", + "\n", + "# Create a DataFrame with compound data\n", + "df = pd.DataFrame(data, columns=[\"Compound\"])\n", + "\n", + "# Apply smact_validity to check if compounds are valid according to SMACT rules\n", + "df[\"smact_allowed\"] = df[\"Compound\"].apply(smact_validity)\n", + "\n", + "# Display the filtered and validated DataFrame\n", + "print(df)\n", + "\n", + "# Calculate and display the fraction of valid compounds\n", + "fractions = df[\"smact_allowed\"].value_counts(normalize=True)\n", + "print(fractions)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/index.rst b/docs/index.rst index afe0fb4a..ca6f7ac7 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -8,6 +8,44 @@ Semiconducting Materials from Analogy and Chemical Theory View the code on Github `here `_. +Introduction +============ + +:mod:`smact` is a collection of tools and examples for "low-fi" screening of +potential semiconducting materials through the use of chemical +rules. + +:mod:`smact` uses a combination of heuristics and models derived from data to +rapidly search large areas of chemical space. This combination of methods +allows :mod:`smact` to identify new materials for applications such as photovoltaics, +water splitting and thermoelectrics. + +Features of :mod:`smact` include: + +- Chemical elements with associated properties +- Filters for oxidation states and charge balancing +- Structure predcition from chemical composition +- Composition probability prediction + +Install +======= + +The package is available *via* :code:`pip install smact`. + +License and citation +==================== + +:mod:`smact` is distributed under an MIT license. + +To cite the theory of :mod:`smact` please use: + +- `Computational screening of all stoichiometric inorganic materials `_ + +To cite the code of :mod:`smact` please use: + +- `SMACT: Semiconducting Materials by Analogy and Chemical Theory `_ + + Contents: .. toctree:: @@ -16,6 +54,7 @@ Contents: introduction getting_started examples + tutorials smact @@ -25,4 +64,3 @@ Indices and tables * :ref:`genindex` * :ref:`modindex` * :ref:`search` - diff --git a/docs/introduction.rst b/docs/introduction.rst index 16453c5c..055ba937 100644 --- a/docs/introduction.rst +++ b/docs/introduction.rst @@ -9,7 +9,37 @@ rules. :mod:`smact` uses a combination of heuristics and models derived from data to rapidly search large areas of chemical space. This combination of methods allows :mod:`smact` to identify new materials for applications such as photovoltaics, -water splitting and thermoelectrics. Read more about :mod:`smact` in our publications: +water splitting and thermoelectrics. + +Features of :mod:`smact` include: + +- Chemical elements with associated properties +- Filters for oxidation states and charge balancing +- Structure prediction from chemical composition +- Composition probability prediction + +Install +======= + +The package is available *via* :code:`pip install smact`. + +License and citation +==================== + +:mod:`smact` is distributed under an MIT license. + +To cite the theory of :mod:`smact` please use: + +- `Computational screening of all stoichiometric inorganic materials `_ + +To cite the code of :mod:`smact` please use: + +- `SMACT: Semiconducting Materials by Analogy and Chemical Theory `_ + +Studies using smact +=================== + +Read more about :mod:`smact` in our publications: - `Computational screening of all stoichiometric inorganic materials `_ - `Computer-aided design of metal chalcohalide semiconductors: from chemical composition to crystal structure `_ @@ -18,7 +48,6 @@ water splitting and thermoelectrics. Read more about :mod:`smact` in our publica This approach is inspired by the work of Harrison [1]_ and Pamplin [2]_. The work is an active project in the `Materials Design Group `_. -The package is available *via* :code:`pip install smact`. We are also developing a set of Jupyter Notebook examples `here `_. diff --git a/docs/requirements.in b/docs/requirements.in index 6fe24603..7ccc64b1 100644 --- a/docs/requirements.in +++ b/docs/requirements.in @@ -1,4 +1,6 @@ # Defining the exact version will make sure things don't break sphinx==5.3.0 sphinx_rtd_theme==2.0.0 -readthedocs-sphinx-search==0.3.2 \ No newline at end of file +readthedocs-sphinx-search==0.3.2 +sphinx-book-theme==1.1.3 +myst-nb==1.1.1 diff --git a/docs/requirements.txt b/docs/requirements.txt index db3c168b..311c3a3a 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,48 +1,186 @@ # -# This file is autogenerated by pip-compile with Python 3.8 +# This file is autogenerated by pip-compile with Python 3.10 # by the following command: # -# pip-compile +# pip-compile requirements.in # +accessible-pygments==0.0.5 + # via pydata-sphinx-theme alabaster==0.7.13 # via sphinx +appnope==0.1.4 + # via ipykernel +asttokens==2.4.1 + # via stack-data +attrs==24.2.0 + # via + # jsonschema + # jupyter-cache + # referencing babel==2.12.1 - # via sphinx + # via + # pydata-sphinx-theme + # sphinx +beautifulsoup4==4.12.3 + # via pydata-sphinx-theme certifi==2024.7.4 # via requests charset-normalizer==3.2.0 # via requests +click==8.1.7 + # via jupyter-cache +comm==0.2.2 + # via ipykernel +debugpy==1.8.5 + # via ipykernel +decorator==5.1.1 + # via ipython docutils==0.17.1 # via + # myst-parser + # pydata-sphinx-theme # sphinx # sphinx-rtd-theme +exceptiongroup==1.2.2 + # via ipython +executing==2.0.1 + # via stack-data +fastjsonschema==2.20.0 + # via nbformat idna==3.7 # via requests imagesize==1.4.1 # via sphinx -importlib-metadata==7.0.1 - # via sphinx +importlib-metadata==8.2.0 + # via + # jupyter-cache + # myst-nb +ipykernel==6.29.5 + # via myst-nb +ipython==8.26.0 + # via + # ipykernel + # myst-nb +jedi==0.19.1 + # via ipython jinja2==3.1.4 - # via sphinx + # via + # myst-parser + # sphinx +jsonschema==4.23.0 + # via nbformat +jsonschema-specifications==2023.12.1 + # via jsonschema +jupyter-cache==1.0.0 + # via myst-nb +jupyter-client==8.6.2 + # via + # ipykernel + # nbclient +jupyter-core==5.7.2 + # via + # ipykernel + # jupyter-client + # nbclient + # nbformat +markdown-it-py==2.2.0 + # via + # mdit-py-plugins + # myst-parser markupsafe==2.1.3 # via jinja2 +matplotlib-inline==0.1.7 + # via + # ipykernel + # ipython +mdit-py-plugins==0.3.5 + # via myst-parser +mdurl==0.1.2 + # via markdown-it-py +myst-nb==1.1.1 + # via -r requirements.in +myst-parser==1.0.0 + # via myst-nb +nbclient==0.10.0 + # via + # jupyter-cache + # myst-nb +nbformat==5.10.4 + # via + # jupyter-cache + # myst-nb + # nbclient +nest-asyncio==1.6.0 + # via ipykernel packaging==23.1 - # via sphinx + # via + # ipykernel + # pydata-sphinx-theme + # sphinx +parso==0.8.4 + # via jedi +pexpect==4.9.0 + # via ipython +platformdirs==4.2.2 + # via jupyter-core +prompt-toolkit==3.0.47 + # via ipython +psutil==6.0.0 + # via ipykernel +ptyprocess==0.7.0 + # via pexpect +pure-eval==0.2.3 + # via stack-data +pydata-sphinx-theme==0.15.4 + # via sphinx-book-theme pygments==2.16.1 - # via sphinx -pytz==2023.3.post1 - # via babel + # via + # accessible-pygments + # ipython + # pydata-sphinx-theme + # sphinx +python-dateutil==2.9.0.post0 + # via jupyter-client +pyyaml==6.0.2 + # via + # jupyter-cache + # myst-nb + # myst-parser +pyzmq==26.1.0 + # via + # ipykernel + # jupyter-client readthedocs-sphinx-search==0.3.2 # via -r requirements.in +referencing==0.35.1 + # via + # jsonschema + # jsonschema-specifications requests==2.32.0 # via sphinx +rpds-py==0.20.0 + # via + # jsonschema + # referencing +six==1.16.0 + # via + # asttokens + # python-dateutil snowballstemmer==2.2.0 # via sphinx +soupsieve==2.6 + # via beautifulsoup4 sphinx==5.3.0 # via # -r requirements.in + # myst-nb + # myst-parser + # pydata-sphinx-theme + # sphinx-book-theme # sphinx-rtd-theme # sphinxcontrib-jquery +sphinx-book-theme==1.1.3 + # via -r requirements.in sphinx-rtd-theme==2.0.0 # via -r requirements.in sphinxcontrib-applehelp==1.0.4 @@ -59,7 +197,35 @@ sphinxcontrib-qthelp==1.0.3 # via sphinx sphinxcontrib-serializinghtml==1.1.5 # via sphinx +sqlalchemy==2.0.32 + # via jupyter-cache +stack-data==0.6.3 + # via ipython +tabulate==0.9.0 + # via jupyter-cache +tornado==6.4.1 + # via + # ipykernel + # jupyter-client +traitlets==5.14.3 + # via + # comm + # ipykernel + # ipython + # jupyter-client + # jupyter-core + # matplotlib-inline + # nbclient + # nbformat +typing-extensions==4.12.2 + # via + # ipython + # myst-nb + # pydata-sphinx-theme + # sqlalchemy urllib3==2.2.2 # via requests -zipp==3.19.1 +wcwidth==0.2.13 + # via prompt-toolkit +zipp==3.20.0 # via importlib-metadata diff --git a/docs/smact.dopant_prediction.doper.rst b/docs/smact.dopant_prediction.doper.rst index 28e0ad8c..55b3962f 100644 --- a/docs/smact.dopant_prediction.doper.rst +++ b/docs/smact.dopant_prediction.doper.rst @@ -1,7 +1,7 @@ smact.dopant_prediction.doper module ============================= -A class to create possible n-type and p-type dopants according to +A class to create possible n-type and p-type dopants according to their accessible oxidation states. .. automodule:: smact.dopant_prediction.doper diff --git a/docs/smact.dopant_prediction.rst b/docs/smact.dopant_prediction.rst index df1fbc95..ba3d1114 100644 --- a/docs/smact.dopant_prediction.rst +++ b/docs/smact.dopant_prediction.rst @@ -1,9 +1,9 @@ Dopant Prediction Module =========================== -The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants in multi-component solids. The search and ranking process is based on electronic filters (e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). +The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants in multi-component solids. The search and ranking process is based on electronic filters (e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). -#. +#. :class:`~smact.dopant_prediction.doper`, A class to identify possible dopants. The output is the candidate species in the form of a dictionary with "n_type_cation", "p_type_cation", "n_type_anion", "p_type_anion", ranked by the corresponding elemental substitution probabilities. @@ -13,4 +13,3 @@ Submodules .. toctree:: smact.dopant_prediction.doper - diff --git a/docs/smact.properties.rst b/docs/smact.properties.rst index 43136104..49d57019 100644 --- a/docs/smact.properties.rst +++ b/docs/smact.properties.rst @@ -13,7 +13,7 @@ photoelectric threshold: [1]_ In other words, the computed group :math:`2.86(\chi_{A}\chi_{B})^{1/2}` -is the mid-gap energy. The valence band maximum/conduction band minimum positions +is the mid-gap energy. The valence band maximum/conduction band minimum positions can be estimated by subtracting/adding half of the band gap :math:`E_g`. This is an extension Mulliken's electronegativity scale in which :math:`\chi_{A} = (I_{A} + E_{A})/2` (where :math:`I` and :math:`E` diff --git a/docs/smact.rst b/docs/smact.rst index 215effd8..82783775 100644 --- a/docs/smact.rst +++ b/docs/smact.rst @@ -25,6 +25,7 @@ Submodules smact.structure_prediction smact.dopant_prediction + smact.utils smact.properties smact.screening smact.oxidation_states diff --git a/docs/smact.utils.composition.rst b/docs/smact.utils.composition.rst new file mode 100644 index 00000000..68f87a73 --- /dev/null +++ b/docs/smact.utils.composition.rst @@ -0,0 +1,9 @@ +SMACT Utilities Composition Module +===================================== + +Miscellaneous utilities for composition handling + +.. automodule:: smact.utils.composition + :members: + :undoc-members: + :show-inheritance: diff --git a/docs/smact.utils.rst b/docs/smact.utils.rst new file mode 100644 index 00000000..4128fe28 --- /dev/null +++ b/docs/smact.utils.rst @@ -0,0 +1,15 @@ +SMACT Utilities module +=========================== + +The utilities module provides some utility functions to support the core functionalities of SMACT + +Submodules +---------- + +.. toctree:: + + smact.utils.composition + smact.utils.band_gap_simple + smact.utils.download_compounds_with_mp_api + smact.utils.generate_composition_with_smact + smact.utils.plot_embeddings diff --git a/docs/smact_toc.jpg b/docs/smact_toc.jpg new file mode 100644 index 00000000..c64b37eb Binary files /dev/null and b/docs/smact_toc.jpg differ diff --git a/docs/tutorials.rst b/docs/tutorials.rst new file mode 100644 index 00000000..401aac2a --- /dev/null +++ b/docs/tutorials.rst @@ -0,0 +1,15 @@ +.. _tutorials: + +Tutorials +=========================================================== + +Tutorials are intended as a more complete example of `smact` being applied in real applications, as opposed to the examples, which provide a demonstration of how to use specific functions and modules. + +.. toctree:: + :maxdepth: 1 + + tutorials/crystal_space + tutorials/crystal_space_visualisation + tutorials/smact_validity_of_GNoMe + tutorials/smact_generation_of_solar_oxides + tutorials/oxidation_states diff --git a/docs/tutorials/crystal_space.ipynb b/docs/tutorials/crystal_space.ipynb new file mode 100644 index 00000000..fb29b86e --- /dev/null +++ b/docs/tutorials/crystal_space.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploring crystal space" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our goal is to generate, analyze, and categorize chemical compositions, making it easier to discover interesting and useful materials. This tutorial is based on a publication in [Faraday Discussions](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Getting started\n", + "\n", + "In this tutorial, we'll:\n", + "\n", + "- Generate binary chemical compositions using the SMACT filter.\n", + "- Explore whether these compositions exist in the Materials Project database.\n", + "- Categorize the compositions based on whether they pass the SMACT filter and whether they are found in the database.\n", + "\n", + "The final phase will categorize the compositions into four distinct categories based on their properties. The categorization is based on whether a composition is allowed by the SMACT filter (smact_allowed) and whether it is present in the Materials Project database (mp). The categories are as follows:\n", + "\n", + "| smact_allowed | mp | label |\n", + "|---------------|------|------------|\n", + "| yes | yes | standard |\n", + "| yes | no | missing |\n", + "| no | yes | interesting|\n", + "| no | no | unlikely |" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Generating compositions\n", + "\n", + "First, we'll create binary chemical compositions using the SMACT filter. The SMACT filter is a smart tool that helps us select compositions based on important chemical rules, such as oxidation states and electronegativity.\n", + "\n", + "To generate these compositions, we'll use a function called [`generate_composition_with_smact`](../smact/utils/generate_composition_with_smact.py). This function allows us to enumerate all possible binary compositions and filter them based on the SMACT rules. \n", + "\n", + "### Key parameters:\n", + "- `num_elements`: Number of elements in the composition (e.g., 2 for binary).\n", + "- `max_stoich`: The maximum ratio of each element (e.g., 8 could mean up to 8 atoms of each element).\n", + "- `max_atomic_num`: Maximum atomic number for the elements considered\n", + "- `num_processes`: Number of processes to run in parallel to speed up calculations.\n", + "- `save_path`: Where to save the generated compositions." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/crystal_space.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install -q mp_api" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from smact.utils.crystal_space.generate_composition_with_smact import (\n", + " generate_composition_with_smact,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_smact = generate_composition_with_smact(\n", + " num_elements=2,\n", + " max_stoich=8,\n", + " max_atomic_num=103,\n", + " num_processes=8,\n", + " save_path=\"data/binary/df_binary_label.pkl\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_smact" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Download data from the Materials Project" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we download data from the `Materials Project api` using the `download_mp_data` function. This function allows us to download data for a given number of elements and maximum stoichiometry. The data includes the chemical formula, energy, and other properties of the compounds.\n", + "\n", + "[`download_mp_data`](../smact/utils/download_compounds_with_mp_api.py) function takes in the following parameters:\n", + "\n", + "### Key parameters:\n", + "- `mp_api_key`: your Materials Project API key\n", + "- `num_elements`: Number of elements in the composition (e.g., 2 for binary).\n", + "- `max_stoich`: The maximum ratio of each element (e.g., 8 could mean up to 8 atoms of each element).\n", + "- `save_dir`: Where to save the downloaded data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp_api_key = None # replace with your own MP API key" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "save_mp_dir = \"data/binary/mp_data\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from smact.utils.crystal_space.download_compounds_with_mp_api import download_mp_data\n", + "\n", + "# download data from MP for binary compounds\n", + "docs = download_mp_data(\n", + " mp_api_key=mp_api_key,\n", + " num_elements=2,\n", + " max_stoich=8,\n", + " save_dir=save_mp_dir,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Categorise compositions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we categorize the compositions into four labels: standard, missing, interesting, and unlikely." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp_data = {p.stem: True for p in Path(save_mp_dir).glob(\"*.json\")}\n", + "df_mp = pd.DataFrame.from_dict(mp_data, orient=\"index\", columns=[\"mp\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# make category dataframe\n", + "df_category = df_smact.join(df_mp, how=\"left\").fillna(False)\n", + "# make label for each category\n", + "dict_label = {\n", + " (True, True): \"standard\",\n", + " (True, False): \"missing\",\n", + " (False, True): \"interesting\",\n", + " (False, False): \"unlikely\",\n", + "}\n", + "df_category[\"label\"] = df_category.apply(lambda x: dict_label[(x[\"smact_allowed\"], x[\"mp\"])], axis=1)\n", + "df_category[\"label\"].apply(dict_label.get)\n", + "\n", + "# count number of each label\n", + "print(df_category[\"label\"].value_counts())\n", + "\n", + "# save dataframe\n", + "df_category.to_pickle(\"data/binary/df_binary_category.pkl\")\n", + "\n", + "# show df_category\n", + "df_category.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Next steps\n", + "\n", + "move to [`crystal_space_visualisation.ipynb`](crystal_space_visualisation.ipynb) to visualize the data and explore the chemical space." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/Crystal_Space/1_reduction.ipynb b/docs/tutorials/crystal_space_visualisation.ipynb similarity index 84% rename from examples/Crystal_Space/1_reduction.ipynb rename to docs/tutorials/crystal_space_visualisation.ipynb index e4a3c14e..a16de2b0 100644 --- a/examples/Crystal_Space/1_reduction.ipynb +++ b/docs/tutorials/crystal_space_visualisation.ipynb @@ -4,22 +4,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Dimension Reduction" + "# Visualising crystal space" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this notebook, we will use the dimension reduction techniques to reduce the dimension of the data. We will use the following techniques:\n", + "(prerequisite: [crystal_space_with_smact.ipynb](./crystal_space_with_smact.ipynb))\n", + "\n", + "In this tutorial, we will use the dimension reduction techniques to visualise a large crystal space. We will use the following techniques:\n", "\n", "- Principal Component Analysis (PCA)\n", "- t-distributed Stochastic Neighbor Embedding (t-SNE)\n", "- Uniform Manifold Approximation and Projection (UMAP)\n", "\n", - "we will make composional embedding created by element embeddings, as follows:\n", - "\n", - "(Please refer to [ElementEmbeddings](https://wmd-group.github.io/ElementEmbeddings/0.4/reference/) for the details of element embedding)\n", + "we will make composional embedding created by [ElementEmbeddings](https://wmd-group.github.io/ElementEmbeddings/0.4/reference/), as follows:\n", "\n", "- Magpie\n", "- Mat2Vec\n", @@ -33,7 +33,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 1. Element Embeddings" + "## 1. Element embeddings" ] }, { @@ -43,13 +43,32 @@ "To begin, we will make compositional embedding created by element embeddings using the ElementEmbeddings package." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/crystal_space_visualisation.ipynb)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# pip install ElementEmbeddings" + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install -q ElementEmbeddings\n", + " !pip install umap-learn==0.5.3\n", + " !pip install -q kaleido" ] }, { @@ -58,7 +77,7 @@ "metadata": {}, "outputs": [], "source": [ - "from typing import Iterable\n", + "from collections.abc import Iterable\n", "from pathlib import Path\n", "\n", "from tqdm import tqdm\n", @@ -96,8 +115,7 @@ "metadata": {}, "outputs": [], "source": [ - "df_category = pd.read_pickle(save_dir / \"df_binary_category.pkl\")\n", - "df_category" + "df_category = pd.read_pickle(save_dir / \"df_binary_category.pkl\")" ] }, { @@ -107,7 +125,7 @@ "outputs": [], "source": [ "# sampling\n", - "n_samples = 3000\n", + "n_samples = 100 # 3000 for \"Mapping inorganic crystal chemical space\" paper\n", "\n", "dict_label = {\n", " \"standard\": 0,\n", @@ -163,20 +181,14 @@ " raise TypeError(\"formula must be a string or a list of strings\")\n", "\n", " # get embedding dimension\n", - " embedding_dim = CompositionalEmbedding(\n", - " \"\", embedding=embedding\n", - " ).embedding_dim\n", + " embedding_dim = CompositionalEmbedding(\"\", embedding=embedding).embedding.dim\n", "\n", " # compute embedding\n", " embeddings = []\n", " for f in tqdm(formula):\n", " try:\n", - " compositional_embedding = CompositionalEmbedding(\n", - " f, embedding=embedding\n", - " )\n", - " embeddings.append(\n", - " compositional_embedding.feature_vector(stats=stats)\n", - " )\n", + " compositional_embedding = CompositionalEmbedding(f, embedding=embedding)\n", + " embeddings.append(compositional_embedding.feature_vector(stats=stats))\n", " except Exception as e:\n", " # the exception is raised when the embedding doesn't support the element\n", " embeddings.append(np.full(embedding_dim, np.nan))\n", @@ -210,7 +222,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Dimension Reduction" + "## 2. Dimension reduction" ] }, { @@ -220,15 +232,6 @@ "Next, we will use the dimension reduction techniques to reduce the dimension of the data." ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# pip install umap-learn==0.5.3" - ] - }, { "cell_type": "code", "execution_count": null, @@ -295,9 +298,7 @@ " file_name = f\"reduced_embeddings_{reducer.__class__.__name__}.pkl\"\n", " else:\n", " file_name = f\"{file_name}.pkl\"\n", - " pd.DataFrame(reduced_embeddings, index=embeddings.index).to_pickle(\n", - " save_dir / file_name\n", - " )\n", + " pd.DataFrame(reduced_embeddings, index=embeddings.index).to_pickle(save_dir / file_name)\n", " print(f\"Saved reduced embeddings to {save_dir / file_name}\")\n", " return reduced_embeddings" ] @@ -315,11 +316,7 @@ "for name in embedding_names:\n", " for reducer in reducers:\n", " print(f\"Computing {name} {reducer} embeddings\")\n", - "\n", - " embeddings = pd.read_pickle(\n", - " save_dir / \"embeddings\" / f\"embeddings_{name}.pkl\"\n", - " )\n", - "\n", + " embeddings = pd.read_pickle(save_dir / \"embeddings\" / f\"embeddings_{name}.pkl\")\n", " reduced_embeddings = dimension_reduction(\n", " embeddings,\n", " reducer=reducer,\n", @@ -334,16 +331,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 3. Visualization of the Reduced Embeddings" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# pip install -U kaleido" + "## 3. Visualisation of the low dimensional embeddings" ] }, { @@ -352,7 +340,7 @@ "metadata": {}, "outputs": [], "source": [ - "from plot_embedding import plot_reducers_embeddings" + "from smact.utils.crystal_space.plot_embedding import plot_reducers_embeddings" ] }, { @@ -374,13 +362,13 @@ " title=\"Compositional space for binary compounds\",\n", " save_path=save_path,\n", ")\n", - "# check the plot in save_path" + "fig" ] } ], "metadata": { "kernelspec": { - "display_name": "smact", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -394,9 +382,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.18" + "version": "3.10.14" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/Oxidation_states/oxidation_states.ipynb b/docs/tutorials/oxidation_states.ipynb similarity index 80% rename from examples/Oxidation_states/oxidation_states.ipynb rename to docs/tutorials/oxidation_states.ipynb index 45908c2b..d29bdf5b 100644 --- a/examples/Oxidation_states/oxidation_states.ipynb +++ b/docs/tutorials/oxidation_states.ipynb @@ -4,234 +4,52 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Oxidation states\n", - "Here, we will demonstrate the main functionalities of the `oxidation_states` submodule of SMACT." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports\n", - "import re\n", - "from itertools import combinations, product\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import multiprocess\n", - "import numpy as np\n", - "import pandas as pd\n", - "from pymatgen.core import Composition, Structure\n", - "\n", - "import smact\n", - "from smact import Element, Species, screening\n", - "from smact.oxidation_states import Oxidation_state_probability_finder" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Getting started with the oxidation_states submodule\n", - "\n", - "The main class of the `smact.oxidation_states` submodule is `Oxidation_state_probability_finder`. We will demonstrate the usage of the methods of this class below." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Instantiate the oxidation state probability finder class with the default table\n", - "ox_prob_finder = Oxidation_state_probability_finder()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After instantiating the class, we can examine what species are included in the probability table through the `get_included_species` method." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The species included in the probability table for the oxidation states model are show below \n", - "['Cl-1', 'O-2', 'S-2', 'I-1', 'Br-1', 'F-1', 'Se-2', 'Te-2', 'La2', 'Pr2', 'Tb2', 'Sc1', 'Cr3', 'Sc2', 'Tl3', 'Ru2', 'Mn7', 'W3', 'Ir5', 'Ru6', 'Ho3', 'Ag3', 'Cs1', 'Eu3', 'Mn2', 'Cd2', 'Re2', 'In3', 'Ta1', 'Ca2', 'Re7', 'U5', 'Zn2', 'Yb3', 'Hg2', 'W5', 'Co3', 'Ru5', 'Er3', 'Sm2', 'Ir3', 'Ru4', 'Sb4', 'Zr3', 'Lu3', 'Ta5', 'Ru3', 'U2', 'Tl1', 'V4', 'La3', 'Re3', 'Ag1', 'Sn2', 'Sm3', 'Th4', 'Tm2', 'Ga3', 'Co1', 'Ce3', 'Co2', 'Rh4', 'Bi5', 'Pd4', 'Pb2', 'Gd2', 'Nb4', 'Gd3', 'Bi1', 'Li1', 'Pd2', 'V5', 'Y3', 'Dy2', 'Sn4', 'Th3', 'Sb5', 'Fe4', 'Cr6', 'W4', 'Ti3', 'Ni2', 'Re5', 'U3', 'Ge2', 'Sn3', 'Bi3', 'Eu2', 'Sc3', 'Zr4', 'In2', 'Cr5', 'Mn3', 'Tb3', 'Ag2', 'Fe3', 'Ir4', 'Ga1', 'Cu2', 'Sr2', 'W2', 'Mo5', 'Tb4', 'Mn6', 'Ta4', 'Cu1', 'Fe2', 'Mn4', 'U6', 'Pr3', 'Bi2', 'Zr2', 'Nd3', 'Ta3', 'Ti2', 'Mg2', 'Cu3', 'V2', 'Tm3', 'W6', 'Rb1', 'Ta2', 'K1', 'Ga2', 'Ti4', 'Ba2', 'Mn1', 'La1', 'Cr2', 'Al3', 'U4', 'Ge4', 'Nd2', 'Mo3', 'Yb2', 'Tb1', 'Ge3', 'Ni1', 'Nb5', 'Rh3', 'Hf4', 'Nb3', 'Ni3', 'Dy3', 'Re6', 'Na1', 'In1', 'Hg1', 'Rh1', 'Y2', 'Pd3', 'Ce2', 'Sb3', 'Cr4', 'Y1', 'Zr1', 'Hf2', 'Pb4', 'Nb1', 'Fe1', 'Ni4', 'Ce4', 'Mn5', 'Mo6', 'Ho2', 'Nb2', 'Ir6', 'Mo4', 'V3', 'Mo2', 'Co4', 'Re4', 'Be2']\n" - ] - } - ], - "source": [ - "included_species = ox_prob_finder.get_included_species()\n", - "\n", - "print(\n", - " f\"The species included in the probability table for the oxidation states model are show below \\n{included_species}\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can compute the probability of a cation-anion pair appearing together using the method `pair_probability` as demonstrated below for Al3+ and O2-. The pair probability for a species-anion pair ($P_{SA}$) is given by:\n", - "\n", - "$P_{SA} = \\frac{N_{SX}}{N_{MX}}$\n", - "\n", - "where $N_{MX}$ is the total number of compounds containing the metal element M, and X is the most electronegative anion." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is 1.0\n" - ] - } - ], - "source": [ - "Al = Species(\"Al\", oxidation=3, coordination=6)\n", - "O = Species(\"O\", oxidation=-2, coordination=6)\n", + "## Filtering a search space using oxidation states\n", "\n", - "print(\n", - " f\" The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is {ox_prob_finder.pair_probability(Al,O)}\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also compute the compound probability which for a ternary compound, AaBbXx, is given by:\n", - "\n", - "$P_{A_{a}B_{b}X_{x}} = P_{AX}P_{BX} = \\frac{N_{AX}}{N_{M_{A}X}} \\times \\frac{N_{BX}}{N_{M_{B}X}}$\n", - "\n", - "We will calculate $P_{CaAl_{2}O_{4}}$." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The compound probability for CaAl2O4 is 1.0.\n" - ] - } - ], - "source": [ - "# Create a list of species for our compound of interest\n", - "CaAl2O4 = [Species(\"Ca\", 2), Species(\"Al\", 3), Species(\"O\", -2)]\n", + "Let's attempt to perform the first steps in a high-throughput compound design workflow which involves:\n", "\n", - "prob_compound = ox_prob_finder.compound_probability(CaAl2O4)\n", + "* Generating the search space using SMACT\n", "\n", - "print(f\"The compound probability for CaAl2O4 is {prob_compound}.\")" + "* Filtering the search space using the oxidation states model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can compute this compound probability for a pymatgen Structure as well." + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/oxidation_states.ipynb)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The structure of mp-540839 CsPbI3:\n", - "\n", - "Full Formula (Cs4 Pb4 I12)\n", - "Reduced Formula: CsPbI3\n", - "abc : 4.847142 10.650447 18.031199\n", - "angles: 90.000000 90.000000 90.000000\n", - "pbc : True True True\n", - "Sites (20)\n", - " # SP a b c\n", - "--- ---- ---- -------- --------\n", - " 0 Cs+ 0.75 0.581276 0.17212\n", - " 1 Cs+ 0.25 0.418724 0.82788\n", - " 2 Cs+ 0.75 0.081276 0.32788\n", - " 3 Cs+ 0.25 0.918724 0.67212\n", - " 4 Pb2+ 0.25 0.661849 0.439217\n", - " 5 Pb2+ 0.75 0.338151 0.560783\n", - " 6 Pb2+ 0.25 0.161849 0.060783\n", - " 7 Pb2+ 0.75 0.838151 0.939217\n", - " 8 I- 0.75 0.837211 0.502045\n", - " 9 I- 0.25 0.162789 0.497955\n", - " 10 I- 0.75 0.337211 0.997955\n", - " 11 I- 0.25 0.662789 0.002045\n", - " 12 I- 0.25 0.529272 0.612308\n", - " 13 I- 0.75 0.470728 0.387692\n", - " 14 I- 0.25 0.029272 0.887692\n", - " 15 I- 0.75 0.970728 0.112308\n", - " 16 I- 0.25 0.796317 0.287306\n", - " 17 I- 0.75 0.203683 0.712694\n", - " 18 I- 0.25 0.296317 0.212694\n", - " 19 I- 0.75 0.703683 0.787306\n", - "\n", - "The compound probability for CsPbI3 is 1.0.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/codespace/.python/current/lib/python3.10/site-packages/pymatgen/io/cif.py:1186: UserWarning: The default value of primitive was changed from True to False in https://github.com/materialsproject/pymatgen/pull/3419. CifParser now returns the cell in the CIF file as is. If you want the primitive cell, please set primitive=True explicitly.\n", - " warnings.warn(\n" - ] - } - ], + "outputs": [], "source": [ - "# Load the structure file\n", + "# Install the required packages\n", + "try:\n", + " import google.colab\n", "\n", - "struct = Structure.from_file(\"mp-540839_CsPbI3_oxi.cif\")\n", - "print(\"The structure of mp-540839 CsPbI3:\\n\")\n", - "print(struct)\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", "\n", - "# Get the compound probability for CsPbI3\n", - "prob = ox_prob_finder.compound_probability(struct)\n", + "# Imports\n", + "import re\n", + "from itertools import combinations\n", "\n", - "print(f\"\\nThe compound probability for CsPbI3 is {prob_compound}.\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Filtering a SMACT search space using the oxidation states model\n", + "import matplotlib.pyplot as plt\n", + "import multiprocess\n", + "import numpy as np\n", + "import pandas as pd\n", + "from pymatgen.core import Composition\n", "\n", - "Let's attempt to perform the first steps in a high-throughput compound design workflow which involves:\n", - "* Generating the search space using SMACT\n", - "* Filtering the search space using the oxidation states model." + "import smact\n", + "from smact import Species, screening\n", + "from smact.oxidation_states import Oxidation_state_probability_finder" ] }, { @@ -243,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -252,19 +70,14 @@ }, "outputs": [], "source": [ + "# Instantiate the oxidation state probability finder class with the default table\n", + "ox_prob_finder = Oxidation_state_probability_finder()\n", + "\n", "# Get the cations that are in the probability table\n", - "cations = [\n", - " species\n", - " for species in ox_prob_finder.get_included_species()\n", - " if \"-\" not in species\n", - "]\n", + "cations = [species for species in ox_prob_finder.get_included_species() if \"-\" not in species]\n", "\n", "# Get the symbols of the d-block elements\n", - "d_block_symbols = (\n", - " smact.ordered_elements(21, 30)\n", - " + smact.ordered_elements(39, 48)\n", - " + smact.ordered_elements(71, 80)\n", - ")\n", + "d_block_symbols = smact.ordered_elements(21, 30) + smact.ordered_elements(39, 48) + smact.ordered_elements(71, 80)\n", "\n", "# This function will parse the species included in the probability table\n", "\n", @@ -311,9 +124,7 @@ " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", " if cn_e:\n", " # Electronegativity test\n", - " electroneg_OK = screening.pauling_test(\n", - " ox_states, electronegativities\n", - " )\n", + " electroneg_OK = screening.pauling_test(ox_states, electronegativities)\n", " if electroneg_OK:\n", " compound = tuple(\n", " [\n", @@ -329,7 +140,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -344,11 +155,11 @@ "Number of compositions: 14832\n", "Each list entry looks like this:\n", " elements, oxidation states, stoichiometries\n", - "['Sc', 'Cr', 'F'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'Cl'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'Br'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'I'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Sc', 'F'] (1, 2, -1) (1, 1, 3)\n" + "['Rh', 'Zn', 'F'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'Cl'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'Br'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'I'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Mn', 'F'] (4, 2, -1) (1, 1, 6)\n" ] } ], @@ -361,26 +172,20 @@ "\n", "# Here we grab the species string for each composition generated by smact\n", "list_of_species = [species[3] for species in flat_list]\n", - "A_species = [\n", - " f\"{species[0].symbol}{species[0].oxidation}+\" for species in list_of_species\n", - "]\n", - "B_species = [\n", - " f\"{species[1].symbol}{species[1].oxidation}+\" for species in list_of_species\n", - "]\n", + "A_species = [f\"{species[0].symbol}{species[0].oxidation}+\" for species in list_of_species]\n", + "B_species = [f\"{species[1].symbol}{species[1].oxidation}+\" for species in list_of_species]\n", "X_species = [f\"{species[2].symbol}1-\" for species in list_of_species]\n", "\n", "# Print out the first few entries from our search space\n", "print(f\"Number of compositions: {len(flat_list)}\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", + "print(\"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\")\n", "for i in flat_list[:5]:\n", " print(i[0], i[1], i[2])" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -393,11 +198,11 @@ "output_type": "stream", "text": [ "Each list entry now looks like this: \n", - "ScCrF4\n", - "ScCrCl4\n", - "ScCrBr4\n", - "ScCrI4\n", - "Sc2F3\n" + "ZnRhF6\n", + "ZnRhCl6\n", + "ZnRhBr6\n", + "ZnRhI6\n", + "MnRhF6\n" ] } ], @@ -434,19 +239,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Compute the compound probabilities\n", - "compound_probabilities = [\n", - " ox_prob_finder.compound_probability(spec) for spec in list_of_species\n", - "]" + "compound_probabilities = [ox_prob_finder.compound_probability(spec) for spec in list_of_species]" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -480,43 +283,43 @@ " \n", " \n", " 0\n", - " ScCrF4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhF6\n", + " Rh4+\n", + " Zn2+\n", " F1-\n", - " 0.289474\n", + " 0.775000\n", " \n", " \n", " 1\n", - " ScCrCl4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhCl6\n", + " Rh4+\n", + " Zn2+\n", " Cl1-\n", - " 0.227273\n", + " 0.625000\n", " \n", " \n", " 2\n", - " ScCrBr4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhBr6\n", + " Rh4+\n", + " Zn2+\n", " Br1-\n", - " 0.285714\n", + " 0.500000\n", " \n", " \n", " 3\n", - " ScCrI4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhI6\n", + " Rh4+\n", + " Zn2+\n", " I1-\n", - " 0.111111\n", + " 0.500000\n", " \n", " \n", " 4\n", - " Sc2F3\n", - " Sc1+\n", - " Sc2+\n", + " MnRhF6\n", + " Rh4+\n", + " Mn2+\n", " F1-\n", - " 0.000000\n", + " 0.514796\n", " \n", " \n", "\n", @@ -524,14 +327,14 @@ ], "text/plain": [ " formula_pretty A B X compound_probability\n", - "0 ScCrF4 Sc1+ Cr3+ F1- 0.289474\n", - "1 ScCrCl4 Sc1+ Cr3+ Cl1- 0.227273\n", - "2 ScCrBr4 Sc1+ Cr3+ Br1- 0.285714\n", - "3 ScCrI4 Sc1+ Cr3+ I1- 0.111111\n", - "4 Sc2F3 Sc1+ Sc2+ F1- 0.000000" + "0 ZnRhF6 Rh4+ Zn2+ F1- 0.775000\n", + "1 ZnRhCl6 Rh4+ Zn2+ Cl1- 0.625000\n", + "2 ZnRhBr6 Rh4+ Zn2+ Br1- 0.500000\n", + "3 ZnRhI6 Rh4+ Zn2+ I1- 0.500000\n", + "4 MnRhF6 Rh4+ Mn2+ F1- 0.514796" ] }, - "execution_count": 11, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -552,7 +355,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -587,12 +390,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -621,7 +424,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.13 ('smact_tests')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -635,9 +438,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.16" }, - "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" @@ -645,5 +447,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/tutorials/smact_generation_of_solar_oxides.ipynb b/docs/tutorials/smact_generation_of_solar_oxides.ipynb new file mode 100644 index 00000000..684e4043 --- /dev/null +++ b/docs/tutorials/smact_generation_of_solar_oxides.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Quaternary oxide composition generation\n", + "\n", + "This tutorial demonstrates how to generate a set of quaternary oxide compositions using the SMACT library and a modified `smact_filter` function from the `smact_screening` module then prepare the results for machine learning analysis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "Before starting, ensure you have the following libraries installed:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/smact_generation_of_solar_oxides.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install smact pandas pymatgen matminer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Workflow\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Import required libraries" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "This module imports necessary libraries and modules for generating and analyzing\n", + "quaternary oxide compositions using SMACT and machine learning techniques.\n", + "\n", + "\"\"\"\n", + "# Standard library imports\n", + "import multiprocessing\n", + "from itertools import combinations, product\n", + "\n", + "# Third-party imports\n", + "import pandas as pd\n", + "from matminer.featurizers import composition as cf\n", + "from matminer.featurizers.base import MultipleFeaturizer\n", + "from matminer.featurizers.conversions import StrToComposition\n", + "from pymatgen.core import Composition\n", + "\n", + "# Local imports\n", + "import smact\n", + "from smact import screening\n", + "\n", + "\"\"\"\n", + "Imported modules:\n", + "- multiprocessing: For parallel processing capabilities\n", + "- itertools: For generating combinations and products\n", + "- pandas: For data manipulation and analysis\n", + "- matminer: For materials data mining and feature extraction\n", + "- pymatgen: For materials analysis\n", + "- smact: For structure prediction and analysis of new materials\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Define elements and combinations\n", + "\n", + "Select the elements to use in our compositions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define the elements we are interested in\n", + "all_el = smact.element_dictionary()\n", + "symbol_list = [k for k in all_el.keys()]\n", + "\n", + "# List of elements to exclude\n", + "do_not_want = [\n", + " \"H\",\n", + " \"He\",\n", + " \"B\",\n", + " \"C\",\n", + " \"O\",\n", + " \"Ne\",\n", + " \"Ar\",\n", + " \"Kr\",\n", + " \"Tc\",\n", + " \"Xe\",\n", + " \"Rn\",\n", + " \"Ac\",\n", + " \"Th\",\n", + " \"Pa\",\n", + " \"U\",\n", + " \"Np\",\n", + " \"Pu\",\n", + " \"Am\",\n", + " \"Cm\",\n", + " \"Bk\",\n", + " \"Cf\",\n", + " \"Es\",\n", + " \"Fm\",\n", + " \"Md\",\n", + " \"No\",\n", + " \"Lr\",\n", + " \"Ra\",\n", + " \"Fr\",\n", + " \"At\",\n", + " \"Po\",\n", + " \"Pm\",\n", + " \"Eu\",\n", + " \"Tb\",\n", + " \"Yb\",\n", + "]\n", + "\n", + "# Create a list of elements we want to use\n", + "good_elements = [all_el[x] for x in symbol_list if x not in do_not_want]\n", + "\n", + "# Generate all possible combinations of 3 elements from good_elements\n", + "all_el_combos = combinations(good_elements, 3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. Define SMACT filtering function\n", + "\n", + "Create a function to filter element combinations based on SMACT criteria:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def smact_filter(els):\n", + " \"\"\"\n", + " Filter element combinations based on SMACT criteria.\n", + "\n", + " This function takes a combination of elements and applies SMACT\n", + " (Semiconducting Materials from Analogy and Chemical Theory) tests\n", + " to generate potential quaternary oxide compositions.\n", + "\n", + " Args:\n", + " els (tuple): A tuple containing three Element objects.\n", + "\n", + " Returns:\n", + " list: A list of tuples, each containing a set of elements and their ratios\n", + " that pass the SMACT criteria.\n", + " \"\"\"\n", + " all_compounds = []\n", + " elements = [e.symbol for e in els] + [\"O\"]\n", + "\n", + " # Get Pauling electronegativities\n", + " paul_a, paul_b, paul_c = (el.pauling_eneg for el in els)\n", + " electronegativities = [paul_a, paul_b, paul_c, 3.44] # 3.44 is for Oxygen\n", + "\n", + " # Iterate through all possible oxidation state combinations\n", + " for ox_states in product(*(el.oxidation_states for el in els)):\n", + " ox_states = list(ox_states) + [-2] # Add oxygen's oxidation state\n", + "\n", + " # Test for charge balance\n", + " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", + "\n", + " if cn_e:\n", + " # Electronegativity test\n", + " if screening.pauling_test(ox_states, electronegativities):\n", + " compound = (elements, cn_r[0])\n", + " all_compounds.append(compound)\n", + "\n", + " return all_compounds" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Process element combinations\n", + "\n", + "Use multiprocessing to apply the SMACT filter to all element combinations:\n", + "\n", + "Here multiprocessing is used to speed things up (generation of all compositions takes ~40 minutes on a 4GHz Intel core i7 iMac)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def process_element_combinations(all_el_combos):\n", + " \"\"\"\n", + " Process all element combinations using multiprocessing.\n", + "\n", + " This function applies the smact_filter to all element combinations\n", + " using a multiprocessing pool to improve performance.\n", + "\n", + " Args:\n", + " all_el_combos (iterable): An iterable of element combinations.\n", + "\n", + " Returns:\n", + " list: A flattened list of all compounds that pass the SMACT criteria.\n", + " \"\"\"\n", + " with multiprocessing.Pool() as p:\n", + " # Apply smact_filter to all element combinations in parallel\n", + " result = p.map(smact_filter, all_el_combos)\n", + "\n", + " # Flatten the list of results\n", + " flat_list = [item for sublist in result for item in sublist]\n", + " return flat_list\n", + "\n", + "\n", + "# Process all element combinations\n", + "flat_list = process_element_combinations(all_el_combos)\n", + "\n", + "# Print the number of compositions found\n", + "print(f\"Number of compositions: {len(flat_list)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5. Generate pretty formulas\n", + "\n", + "This step turns the generated compositions into pretty formulas, again using multiprocessing. There should be ~1.1M unique formulas. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def comp_maker(comp):\n", + " \"\"\"\n", + " Convert a composition tuple to a pretty formula string.\n", + "\n", + " Args:\n", + " comp (tuple): A tuple containing two lists - elements and their amounts.\n", + "\n", + " Returns:\n", + " str: The reduced formula of the composition as a string.\n", + " \"\"\"\n", + " # Create a list to store elements and their amounts\n", + " form = []\n", + " # Iterate through elements and their amounts\n", + " for el, ammt in zip(comp[0], comp[1]):\n", + " form.append(el)\n", + " form.append(ammt)\n", + " # Join all elements into a single string\n", + " form = \"\".join(str(e) for e in form)\n", + " # Convert to a Composition object and get the reduced formula\n", + " pmg_form = Composition(form).reduced_formula\n", + " return pmg_form\n", + "\n", + "\n", + "# Use multiprocessing to apply comp_maker to all compositions in flat_list\n", + "with multiprocessing.Pool() as p:\n", + " pretty_formulas = p.map(comp_maker, flat_list)\n", + "\n", + "# Create a list of unique formulas\n", + "unique_pretty_formulas = list(set(pretty_formulas))\n", + "# Print the number of unique composition formulas\n", + "print(f\"Number of unique compositions formulas: {len(unique_pretty_formulas)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6. Create DataFrame and add descriptors\n", + "\n", + "Create a DataFrame from the unique formulas and add composition-based descriptors:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a DataFrame from the unique pretty formulas\n", + "new_data = pd.DataFrame(unique_pretty_formulas).rename(columns={0: \"pretty_formula\"})\n", + "\n", + "# Remove any duplicate formulas to ensure uniqueness\n", + "new_data = new_data.drop_duplicates(subset=\"pretty_formula\")\n", + "\n", + "# Display summary statistics of the DataFrame\n", + "# This will show count, unique values, top value, and its frequency\n", + "# new_data.describe()\n", + "\n", + "\n", + "# Add descriptor columns\n", + "# This will take a little time as we have over 1 million rows\n", + "\n", + "\n", + "def add_descriptors(data):\n", + " \"\"\"\n", + " Add composition-based descriptors to the dataframe.\n", + "\n", + " This function converts formula strings to composition objects and calculates\n", + " various features using matminer's composition featurizers.\n", + "\n", + " Args:\n", + " data (pd.DataFrame): DataFrame containing 'pretty_formula' column.\n", + "\n", + " Returns:\n", + " pd.DataFrame: DataFrame with added descriptor columns.\n", + " \"\"\"\n", + " # Convert formula strings to composition objects\n", + " str_to_comp = StrToComposition(target_col_id=\"composition_obj\")\n", + " str_to_comp.featurize_dataframe(data, col_id=\"pretty_formula\")\n", + "\n", + " # Initialize multiple featurizers\n", + " feature_calculators = MultipleFeaturizer(\n", + " [\n", + " cf.Stoichiometry(),\n", + " cf.ElementProperty.from_preset(\"magpie\"),\n", + " cf.ValenceOrbital(props=[\"avg\"]),\n", + " cf.IonProperty(fast=True),\n", + " cf.BandCenter(),\n", + " cf.AtomicOrbitals(),\n", + " ]\n", + " )\n", + "\n", + " # Calculate features\n", + " feature_calculators.featurize_dataframe(data, col_id=\"composition_obj\")\n", + "\n", + " # If you need to use feature_labels later, uncomment the following line:\n", + " # feature_labels = feature_calculators.feature_labels()\n", + "\n", + " return data\n", + "\n", + "\n", + "# Apply the function to add descriptors\n", + "new_data = add_descriptors(new_data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7. Save results to a CSV file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Save as .csv file\n", + "new_data.to_csv(\"All_oxide_comps_dataframe_featurized.csv\", chunksize=10000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reproducing results\n", + "\n", + "To reproduce these results:\n", + "\n", + "1. Ensure all required libraries are installed.\n", + "\n", + "2. Copy and run the code snippets in order.\n", + "\n", + "3. Be patient, as the process can take several hours depending on your hardware.\n", + "\n", + "The final output will be a CSV file named \"All_oxide_comps_dataframe_featurized.csv\" \n", + "containing all generated compositions with their calculated features.\n", + "\n", + "Note: The exact number of compositions may vary slightly due to the nature of parallel processing and potential updates to the SMACT library" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb b/docs/tutorials/smact_validity_of_GNoMe.ipynb similarity index 84% rename from examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb rename to docs/tutorials/smact_validity_of_GNoMe.ipynb index fadfd09d..c13d94e7 100644 --- a/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb +++ b/docs/tutorials/smact_validity_of_GNoMe.ipynb @@ -2,20 +2,25 @@ "cells": [ { "cell_type": "markdown", + "id": "0", + "metadata": {}, "source": [ "# Testing charge-neutrality of the compositions in the GNoME database\n", "\n", " In this notebook, we will check the charge-neutrality of the compositions in the GNoME database (https://www.nature.com/articles/s41586-023-06735-9).\n", " \n", - "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/master/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb)" - ], - "metadata": { - "collapsed": false - }, - "id": "3ae5a7b818ea5dd5" + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/smact_validity_of_GNoMe.ipynb)" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [], "source": [ "# Install the required packages\n", @@ -29,19 +34,17 @@ "if IN_COLAB:\n", " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", "!pip install pandarallel --quiet # Required for parallel processing" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:21.965496Z", - "start_time": "2024-05-30T15:44:16.672394Z" - } - }, - "id": "3ade9be4d87b9cd8", - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": null, + "id": "2", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -62,29 +65,36 @@ "import pandas as pd\n", "from pandarallel import pandarallel\n", "\n", - "# Initialise pandarallel\n", - "pandarallel.initialize(progress_bar=True)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:26.317703Z", - "start_time": "2024-05-30T15:44:21.969508Z" - } - }, - "id": "b6ce9202349e502a", - "execution_count": 2 + "\n", + "def initialize_parallel_processing():\n", + " \"\"\"\n", + " Initialize parallel processing using pandarallel.\n", + "\n", + " This function sets up pandarallel for parallel processing of pandas operations,\n", + " enabling a progress bar for better visibility of the computation progress.\n", + " \"\"\"\n", + " pandarallel.initialize(progress_bar=True)\n", + "\n", + "\n", + "# Set up parallel processing\n", + "initialize_parallel_processing()\n", + "\n", + "# The imported modules and functions are used as follows:\n", + "# - smact_validity: To check the charge neutrality of compositions\n", + "# - matplotlib.pyplot: For creating plots and visualizations\n", + "# - pandas: For data manipulation and analysis\n", + "# - pandarallel: To enable parallel processing of pandas operations" + ] }, { - "cell_type": "markdown", - "source": [], + "cell_type": "code", + "execution_count": null, + "id": "3", "metadata": { - "collapsed": false + "jupyter": { + "outputs_hidden": false + } }, - "id": "d2326df320aeb386" - }, - { - "cell_type": "code", "outputs": [ { "name": "stdout", @@ -106,10 +116,81 @@ }, { "data": { - "text/plain": " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy\n0 0 Cs1S6Zr3 -1.9058 -70.4155\n1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804\n2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016\n3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931\n4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953", - "text/html": "
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" + ], + "text/plain": [ + " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy\n", + "0 0 Cs1S6Zr3 -1.9058 -70.4155\n", + "1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804\n", + "2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016\n", + "3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931\n", + "4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953" + ] }, - "execution_count": 3, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -126,88 +207,166 @@ "\n", "# Show first five entries\n", "df.head()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:26.719249Z", - "start_time": "2024-05-30T15:44:26.320710Z" - } - }, - "id": "36f20728ab945627", - "execution_count": 3 + ] }, { "cell_type": "markdown", + "id": "4", + "metadata": {}, "source": [ "`smact_validity` uses the python package `SMACT` to test for charge neutrality, but it is a rather simple function which cannot account for elements with mixed valency in a compound. The working principle behind this function is to systematically trial all the possible oxidation states of the elements in a given material and return True if a charge-balanced set of oxidation states can be found." - ], - "metadata": { - "collapsed": false - }, - "id": "cb2241cbcb9d36e8" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { - "text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, description='0.00%', max=48109), Label(value='0 / 48109')))…", "application/vnd.jupyter.widget-view+json": { + "model_id": "054530e7da2c4137ad2a8d875c73ae75", "version_major": 2, - "version_minor": 0, - "model_id": "054530e7da2c4137ad2a8d875c73ae75" - } + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HBox(children=(IntProgress(value=0, description='0.00%', max=48109), Label(value='0 / 48109')))…" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "text/plain": " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy \\\n0 0 Cs1S6Zr3 -1.9058 -70.4155 \n1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804 \n2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016 \n3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931 \n4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953 \n\n smact_valid \n0 False \n1 False \n2 True \n3 True \n4 True ", - "text/html": "
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" + ], + "text/plain": [ + " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy \\\n", + "0 0 Cs1S6Zr3 -1.9058 -70.4155 \n", + "1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804 \n", + "2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016 \n", + "3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931 \n", + "4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953 \n", + "\n", + " smact_valid \n", + "0 False \n", + "1 False \n", + "2 True \n", + "3 True \n", + "4 True " + ] }, - "execution_count": 4, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Run the SMACT validity test on the GNoME materials\n", - "df[\"smact_valid\"] = df[\"Composition\"].parallel_apply(\n", - " smact_validity\n", - ") # Alloys will pass the test\n", + "df[\"smact_valid\"] = df[\"Composition\"].parallel_apply(smact_validity) # Alloys will pass the test\n", "df.head()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:47:25.842081Z", - "start_time": "2024-05-30T15:44:26.724244Z" - } - }, - "id": "5317666a5b0ce875", - "execution_count": 4 + ] }, { "cell_type": "markdown", + "id": "6", + "metadata": {}, "source": [ "## Plotting the results\n", "\n", "Let's plot the number of materials that pass the SMACT validity test and the total number of materials in the GNoME database." - ], - "metadata": { - "collapsed": false - }, - "id": "c2b47eae2d3babce" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { - "text/plain": "
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" 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", + "text/plain": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -229,46 +388,35 @@ "ax.set_xlim(right=max(counts) * 1.1) # Adjust x-axis limit based on data\n", "plt.tight_layout()\n", "plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:47:26.294551Z", - "start_time": "2024-05-30T15:47:25.847080Z" - } - }, - "id": "6a7c9b0b2074d22e", - "execution_count": 5 + ] }, { "cell_type": "markdown", + "id": "8", + "metadata": {}, "source": [ "## Conclusion\n", "The SMACT validity test is a simple test that can be used to check the charge-neutrality of a material. However, it is not perfect and cannot account for elements with mixed valency in a compound. In this notebook, we have used the SMACT validity test to check the charge-neutrality of the compositions in the GNoME database. We found around 81% the materials in the GNoME database can be charged-balanced using SMACT." - ], - "metadata": { - "collapsed": false - }, - "id": "ea70b68f565edab" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.9.16" } }, "nbformat": 4, diff --git a/examples/smact_validity/stable_materials_hull.csv b/docs/tutorials/stable_materials_hull.csv similarity index 100% rename from examples/smact_validity/stable_materials_hull.csv rename to docs/tutorials/stable_materials_hull.csv diff --git a/examples/Counting/ElementCombinationsParallel.py b/examples/Counting/ElementCombinationsParallel.py deleted file mode 100644 index d19dede1..00000000 --- a/examples/Counting/ElementCombinationsParallel.py +++ /dev/null @@ -1,274 +0,0 @@ -#! /usr/bin/env python - -import itertools -import time -from multiprocessing import Pool -from sys import stdout - -import smact -from smact.screening import eneg_states_test - -element_list = smact.ordered_elements(1, 103) -elements = smact.element_dictionary(element_list) - -max_n = 4 -neutral_stoichiometries_threshold = 8 -include_pauling_test = True -pauling_test_threshold = 0.0 - -# Number of times to report progress during the counting loop. - -count_progress_interval = 100 - -# Parameters for the threaded version of the code. - -mp_use = True -mp_processes = 4 -mp_chunk_size = 10 - - -def print_status(text): - "Refresh progress meter on one line" - stdout.write(text + "\r") - stdout.flush() - - -def count_iter(iterator): - """Efficiently count number of items in an iterator""" - return sum(1 for _ in iterator) - - -def count_element_combination(args): - """Count the oxidation state combinations for a given set of elements. - - The arguments are grouped together into a single tuple. This allows use - with the mapping functions of the multiprocessing.Pool class. - - The format of the tuple should be: - (element_combination, n, neutral_stoichs_lookup) - where element_combination is a tuple of smact.Element objects, - n is the number of species to be included in a compound (e.g. n=3 for - AxByCz materials), neutral_stoichs_lookup is a dictionary of - the number of permitted neutral stoichiometry combinations given a sorted - list of oxidation states. - - """ - element_combination, n, neutral_stoichs_lookup = args - - count = 0 - - # Create a list of all the unique ionic species, - # each represented as (symbol, state, eneg) - oxidation_states_list = [ - (element.symbol, oxidation_state, element.pauling_eneg) - for element in element_combination - for oxidation_state in element.oxidation_states - ] - - # Screen on charge neutrality - # and on electronegativity ordering if include_pauling_test = True - # (eneg_states_test is a special case of pauling_test where threshold=0, - # repeat_anions=True, repeat_cations=True) - - for state_combination in itertools.combinations(oxidation_states_list, n): - oxidation_states = [x[1] for x in state_combination] - pauling_electronegativities = [x[2] for x in state_combination] - - sorted_states = tuple(sorted(oxidation_states)) - - if include_pauling_test: - if neutral_stoichs_lookup[sorted_states] and eneg_states_test( - oxidation_states, pauling_electronegativities - ): - count += neutral_stoichs_lookup[sorted_states] - else: - count += neutral_stoichs_lookup[sorted_states] - return count - - -def main(): - """ - Count element combinations which satisfy charge neutrality and Pauling - electronegativity constraints. - """ - - # Obtain the unique oxidation states across all the elements considered. - oxidation_states = { - oxidation_state - for element in list(elements.values()) - for oxidation_state in element.oxidation_states - } - - # List unique oxidation-state combinations for each set of - # n-element combinations - oxidation_state_combinations = { - n: list(itertools.combinations_with_replacement(oxidation_states, n)) - for n in range(2, max_n + 1) - } - - # Sort combinations and cast to tuples -- - # these will be used as keys to a lookup table below. - oxidation_state_combinations = { - key: [tuple(sorted(item)) for item in value] - for key, value in list(oxidation_state_combinations.items()) - } - - # Print the number of combinations of oxidation states for each value - # of n to be analysed. Note that this will include ridiculous combinations - # such as (+1, +2, +1) - print("Combinations of known oxidation states:") - - for i in range(2, max_n + 1): - print(f"m = {i}: {len(oxidation_state_combinations[i])}") - - print("") - - # Initialise a thread pool for multi-threaded calculations if required - thread_pool = Pool(processes=mp_processes) if mp_use else None - - for n in range(2, max_n + 1): - # Build lookup table with the number of charge-neutral stoichiometries - # for each combination of oxidation-states. - # Uses the tuples in oxidation_state_combinations as keys. - # For combinations where all the states are positive or negative, the - # number will be zero. - - # This code is rather ugly, consisting of nested functions inside a - # list comprehension. This is done in order to minimise memory access - # but is equivalent to: - # - # neutral_stoichiometries = {} - # for oxidation_states in oxidation_state_combinations[n]: - # count = n_neutral_ratios(oxidation_states) - # neutral_stoichiometries.update({oxidation_states: count}) - - def n_neutral_ratios(oxidation_states, threshold=8): - return len( - smact.neutral_ratios(oxidation_states, threshold=threshold)[1] - ) - - neutral_stoichiometries = { - oxidation_states: n_neutral_ratios( - oxidation_states, threshold=neutral_stoichiometries_threshold - ) - for oxidation_states in oxidation_state_combinations[n] - } - - start_time = time.time() - - # Count the number of element combinations - this is needed for the - # progress indicator. - - combination_count = sum( - count_iter(itertools.combinations(element_list, i)) - for i in range(2, n + 1) - ) - - print( - "Counting ({} element combinations)" "...".format(combination_count) - ) - - # Combinations are counted in chunks set by count_progress_interval. - # In Python 2.7 the // symbol is "integer division" which rounds - # downwards to the nearest integer. - - batch_size = combination_count // count_progress_interval - data_pointer = 0 - - # Set up a generator expression to return combinations of elements. - # Generators are evaluated lazily in Python, which avoids keeping all - # the combinations in memory - doing so can require quite a lot for - # large n (~300 Mb for quaternaries). To count the combinations in - # chunks, a second generator expression is used in the while loop - # (below) which calls next() on the generator the required number of - # times. As well as keeping memory usage fairly constant, this seems - # to carry little, if any, CPU overhead compared to creating and - # slicing a list. So, it's perhaps a bit "filthy", but... - - combination_generator = ( - [elements[symbol] for symbol in element_combination] - for i in range(2, n + 1) - for element_combination in itertools.combinations(element_list, i) - ) - - # Count and sum charge-neutral combinations of oxidation states for - # each of the combinations in element_combinations. - - count = 0 - - while data_pointer < combination_count: - iterations = min(batch_size, combination_count - data_pointer) - - imap_arg_generator = ( - (next(combination_generator), n, neutral_stoichiometries) - for i in range(0, iterations) - ) - - if mp_use: - # Threaded code path -- iteration over element combinations is - # done using the multiprocessing.Pool.imap_unordered() - # function. - - count = count + sum( - thread_pool.imap_unordered( - count_element_combination, - imap_arg_generator, - chunksize=mp_chunk_size, - ) - ) - else: - # Serial code path -- iteration over element combinations is - # done using the itertools.imap() function. - - count = count + sum( - map(count_element_combination, imap_arg_generator) - ) - - # After each chunk, report the % progress, elapsed time and an - # estimate of the remaining time. The smact.pauling_test() calls - # take a variable amount of time, so the estimate of the remaining - # time is not always accurate, particularly for the first few - # cycles. - - data_pointer = data_pointer + iterations - - percent_done = 100 * float(data_pointer) / float(combination_count) - - time_elapsed = time.time() - start_time - time_remaining = ( - combination_count * (time_elapsed / data_pointer) - time_elapsed - ) - - print_status( - " -> {}/{} done ({:.2f} %); {:.2f} s elapsed, " - "~{:.2f} s remaining".format( - data_pointer, - combination_count, - percent_done, - time_elapsed, - time_remaining, - ) - ) - - print("") - - total_time = time.time() - start_time - - # Print results and total time for counting. - - print( - "Number of charge-neutral stoichiometries for combinations " - "of {} elements".format(n) - ) - print( - "(using known oxidation states, not including zero): " - "{}".format(count) - ) - print("") - - print(f"Total time for counting: {total_time:.3f} sec") - print("") - - -if __name__ == "__main__": - main() diff --git a/examples/Counting/Generate_compositions_lists.ipynb b/examples/Counting/Generate_compositions_lists.ipynb deleted file mode 100644 index 51d6f255..00000000 --- a/examples/Counting/Generate_compositions_lists.ipynb +++ /dev/null @@ -1,395 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate a list of SMACT-allowed compositions\n", - "This notebook provides a short demo of how to use SMACT to generate a list of element compositions that could later be used as input for machine learning or some other screening workflow. \n", - "We use the standard `smact_filter` as described in the [docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and outlined more fully in [this research paper](https://www.ncbi.nlm.nih.gov/pubmed/27790643).\n", - "\n", - "In the example below, we generate ternary oxide compositions of the first row transition metals." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports\n", - "import itertools\n", - "import multiprocessing\n", - "from datetime import datetime\n", - "\n", - "from smact import Element, element_dictionary, ordered_elements\n", - "from smact.screening import smact_filter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define the elements we are interested in:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## List generation" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn']\n" - ] - } - ], - "source": [ - "all_el = element_dictionary() # A dictionary of all element objects\n", - "\n", - "# Say we are just interested in first row transition metals\n", - "els = [all_el[symbol] for symbol in ordered_elements(21, 30)]\n", - "\n", - "# We can print the symbols\n", - "print([i.symbol for i in els])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will investiage ternary M1-M2-O combinations exhaustively, where M1 and M2 are different transition metals." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sc Ti O\n", - "Sc V O\n", - "Sc Cr O\n", - "Sc Mn O\n", - "Sc Fe O\n", - "Sc Co O\n", - "Sc Ni O\n", - "Sc Cu O\n", - "Sc Zn O\n", - "Ti V O\n", - "Ti Cr O\n", - "Ti Mn O\n", - "Ti Fe O\n", - "Ti Co O\n", - "Ti Ni O\n", - "Ti Cu O\n", - "Ti Zn O\n", - "V Cr O\n", - "V Mn O\n", - "V Fe O\n", - "V Co O\n", - "V Ni O\n", - "V Cu O\n", - "V Zn O\n", - "Cr Mn O\n", - "Cr Fe O\n", - "Cr Co O\n", - "Cr Ni O\n", - "Cr Cu O\n", - "Cr Zn O\n", - "Mn Fe O\n", - "Mn Co O\n", - "Mn Ni O\n", - "Mn Cu O\n", - "Mn Zn O\n", - "Fe Co O\n", - "Fe Ni O\n", - "Fe Cu O\n", - "Fe Zn O\n", - "Co Ni O\n", - "Co Cu O\n", - "Co Zn O\n", - "Ni Cu O\n", - "Ni Zn O\n", - "Cu Zn O\n" - ] - } - ], - "source": [ - "# Generate all M1-M2 combinations\n", - "metal_pairs = itertools.combinations(els, 2)\n", - "# Add O to each pair\n", - "ternary_systems = [[*m, Element(\"O\")] for m in metal_pairs]\n", - "# Prove to ourselves that we have all unique chemical systems\n", - "for i in ternary_systems:\n", - " print(i[0].symbol, i[1].symbol, i[2].symbol)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Time taken to generate list: 0:00:00.448839\n" - ] - } - ], - "source": [ - "# Use multiprocessing and smact_filter to quickly generate our list of compositions\n", - "start = datetime.now()\n", - "if __name__ == \"__main__\": # Always use pool protected in an if statement\n", - " with multiprocessing.Pool(processes=4) as p: # start 4 worker processes\n", - " result = p.map(smact_filter, ternary_systems)\n", - "print(f\"Time taken to generate list: {datetime.now() - start}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of compositions: --> 16615 <--\n", - "Each list entry looks like this:\n", - " elements, oxidation states, stoichiometries\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (3, 1, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (4, 2, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (5, 1, 2))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (5, 3, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (6, 4, 1))\n" - ] - } - ], - "source": [ - "# Flatten the list of lists\n", - "flat_list = [item for sublist in result for item in sublist]\n", - "print(f\"Number of compositions: --> {len(flat_list)} <--\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", - "for i in flat_list[:5]:\n", - " print(i)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Next steps\n", - "### Pymatgen reduced formulas\n", - "We could turn the compositions into reduced formula using pymatgen (we lost the oxidation state information in this example)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Each list entry now looks like this: \n", - "Sc3TiO\n", - "Sc4Ti2O\n", - "Sc5TiO2\n", - "Sc5Ti3O\n", - "Sc6Ti4O\n" - ] - } - ], - "source": [ - "from pymatgen.core import Composition\n", - "\n", - "\n", - "def comp_maker(comp):\n", - " form = []\n", - " for el, ammt in zip(comp[0], comp[2]):\n", - " form.append(el)\n", - " form.append(ammt)\n", - " form = \"\".join(str(e) for e in form)\n", - " pmg_form = Composition(form).reduced_formula\n", - " return pmg_form\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " with multiprocessing.Pool(processes=4) as p:\n", - " pretty_formulas = p.map(comp_maker, flat_list)\n", - "\n", - "print(\"Each list entry now looks like this: \")\n", - "for i in pretty_formulas[:5]:\n", - " print(i)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Pandas\n", - "Finally, we could put this into a pandas DataFrame." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
pretty_formula
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" - ], - "text/plain": [ - " pretty_formula\n", - "count 9353\n", - "unique 9353\n", - "top Ti3V4O7\n", - "freq 1" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "new_data = pd.DataFrame({\"pretty_formula\": pretty_formulas})\n", - "# Drop any duplicate compositions\n", - "new_data = new_data.drop_duplicates(subset=\"pretty_formula\")\n", - "new_data.describe()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Next steps\n", - "The dataframe can then be featurized for representation to a machine learning algorithm, for example in Scikit-learn. Below is a code snippet from a [publicly avalable example](https://github.com/WMD-group/Solar_oxides_data) to demonstrate this using [the matminer package](https://github.com/hackingmaterials/matminer):\n", - "\n", - "``` python\n", - "\n", - "from matminer.featurizers.conversions import StrToComposition\n", - "from matminer.featurizers.base import MultipleFeaturizer\n", - "from matminer.featurizers import composition as cf\n", - "\n", - "# Use featurizers from matminer to featurize data\n", - "str_to_comp = StrToComposition(target_col_id='composition_obj')\n", - "str_to_comp.featurize_dataframe(new_data, col_id='pretty_formula')\n", - "\n", - "feature_calculators = MultipleFeaturizer([cf.Stoichiometry(), \n", - " cf.ElementProperty.from_preset(\"magpie\"),\n", - " cf.ValenceOrbital(props=['avg']), \n", - " cf.IonProperty(fast=True),\n", - " cf.BandCenter(), cf.AtomicOrbitals()])\n", - "\n", - "feature_labels = feature_calculators.feature_labels()\n", - "feature_calculators.featurize_dataframe(new_data, col_id='composition_obj');\n", - "\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_D. W. Davies - 20th Feb 2019_" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.13 ('smact_tests')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - }, - "vscode": { - "interpreter": { - "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Counting/Raw_combinations.ipynb b/examples/Counting/Raw_combinations.ipynb deleted file mode 100644 index e8560e3a..00000000 --- a/examples/Counting/Raw_combinations.ipynb +++ /dev/null @@ -1,224 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate raw combinations of elements or species \n", - "This notebook aims to demonstrate the sheer scale of the combinatorial explosion. Based on some assumtions about how many elements (103) or species - elements in oxidation states - (403) there are, it calculates how many binary, ternary, quaternary... combinations there can be, within different integers stoichiometry limits.\n", - "\n", - "this notebook contains **ZERO** chemistry. \n", - "\n", - "The numbers that are produced match roughly to the raw combinations (before chemical filters) numbers obtained in Table 1 of the publication [Computational Screeningf of All Stoichiometric Inorganic Materials](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3) (D. W. Davies et. al, Chem, 2016).\n", - "Small deviations from the numbers are due to changes in what we class as an \"accessible\" oxidation state for some elements.\n", - "\n", - "N.B. It can take a minute or two to calculate quaternaries on a desktop/laptop computer. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "import itertools\n", - "from fractions import gcd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "In a search space of 403 elements:\n", - "\n", - "Number of unique combinations of 2 elements: 81003\n", - "Number of unique combinations of 3 elements: 10827401\n", - "Number of unique combinations of 4 elements: 1082740100\n", - "\n", - "Number of inequivalent binary ratios with max coefficient 2: \n", - "3\n", - "Number of inequivalent binary ratios with max coefficient 4: \n", - "11\n", - "Number of inequivalent binary ratios with max coefficient 6: \n", - "23\n", - "Number of inequivalent binary ratios with max coefficient 8: \n", - "43\n", - "Number of inequivalent ternary ratios with max coefficient 2: \n", - "7\n", - "Number of inequivalent ternary ratios with max coefficient 4: \n", - "55\n", - "Number of inequivalent ternary ratios with max coefficient 6: \n", - "177\n", - "Number of inequivalent ternary ratios with max coefficient 8: \n", - "433\n", - "Number of inequivalent quaternary ratios with max coefficient 2: \n", - "15\n", - "Number of inequivalent quaternary ratios with max coefficient 4: \n", - "239\n", - "Number of inequivalent quaternary ratios with max coefficient 6: \n", - "1175\n", - "Number of inequivalent quaternary ratios with max coefficient 8: \n", - "3781\n", - "\n", - "Unique binary compounds (no stability constraints) with max coefficient 4: \n", - "8.910e+05\n", - "Unique binary compounds (no stability constraints) with max coefficient 6: \n", - "1.863e+06\n", - "Unique binary compounds (no stability constraints) with max coefficient 8: \n", - "3.483e+06\n", - "Unique ternary compounds (no stability constraints) with max coefficient 4: \n", - "5.955e+08\n", - "Unique ternary compounds (no stability constraints) with max coefficient 6: \n", - "1.916e+09\n", - "Unique ternary compounds (no stability constraints) with max coefficient 8: \n", - "4.688e+09\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 4: \n", - "2.588e+11\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 6: \n", - "1.272e+12\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 8: \n", - "4.094e+12\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/dan/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:18: DeprecationWarning: fractions.gcd() is deprecated. Use math.gcd() instead.\n" - ] - } - ], - "source": [ - "# Functions\n", - "def sum_iter(iterator):\n", - " return sum(1 for _ in iterator)\n", - "\n", - "\n", - "def _gcd_recursive(*args):\n", - " \"\"\"\n", - " Get the greatest common denominator among any number of ints\n", - " \"\"\"\n", - " if len(args) == 2:\n", - " return gcd(*args)\n", - " else:\n", - " return gcd(args[0], _gcd_recursive(*args[1:]))\n", - "\n", - "\n", - "def _is_irreducible(stoichs):\n", - " for i in range(1, len(stoichs)):\n", - " if gcd(stoichs[i - 1], stoichs[i]) == 1:\n", - " return True\n", - " else:\n", - " return False\n", - "\n", - "\n", - "# MAIN\n", - "# >>> Set to 103 for combinations of elements <<<\n", - "# >>> or 403 for combinations of element in oxidation states <<<\n", - "search_space = 403\n", - "\n", - "\n", - "def main():\n", - " compound_names = {\n", - " 2: \"binary\",\n", - " 3: \"ternary\",\n", - " 4: \"quaternary\",\n", - " 5: \"quinternary\",\n", - " }\n", - "\n", - " print(f\"In a search space of {search_space} elements:\")\n", - " print(\"\")\n", - "\n", - " def count_combinations(n):\n", - " c = sum_iter(itertools.combinations(range(search_space), n))\n", - " print(f\"Number of unique combinations of {n} elements: {c}\")\n", - " return c\n", - "\n", - " combinations = {n: count_combinations(n) for n in range(2, 5)}\n", - "\n", - " print(\"\")\n", - "\n", - " # Count all the combinations of inequivalent ratios\n", - " # e.g. for ternaries up to x=2: (1,1,1), (1,1,2), (1,2,1),\n", - " # (1,2,2), (2,1,1), (2,1,2), (2,1,2)\n", - " def ineq_ratios_with_coeff(n_species, max_coeff):\n", - " print(\n", - " f\"Number of inequivalent {compound_names[n_species]} ratios with max coefficient {max_coeff}: \"\n", - " ),\n", - " n_ratios = sum_iter(\n", - " filter(\n", - " _is_irreducible, # Filter operation cuts equivalent\n", - " # stoichs e.g. accept (1,1), reject (2,2)\n", - " itertools.product(\n", - " *( # All stoich combinations, e.g.\n", - " # Product of (1,2), (1,2) is\n", - " # (1,1), (2,1), (2,1), (2,2)\n", - " #\n", - " n_species\n", - " * (tuple(range(1, max_coeff + 1)),)\n", - " # Multiply nested tuples to form\n", - " # initial set of possibilities\n", - " # (1,2,..), (1,2,..),...\n", - " )\n", - " ),\n", - " )\n", - " )\n", - "\n", - " print(f\"{n_ratios}\")\n", - " return n_ratios\n", - "\n", - " ratios = {\n", - " n: {x: ineq_ratios_with_coeff(n, x) for x in range(2, 9, 2)}\n", - " for n in range(2, 5)\n", - " }\n", - " print(\"\")\n", - "\n", - " def unique_compounds(n_species, max_coeff):\n", - " print(\n", - " \"Unique {} compounds (no stability constraints) with max coefficient {}: \".format(\n", - " compound_names[n_species], max_coeff\n", - " )\n", - " ),\n", - " n_compounds = combinations[n_species] * ratios[n_species][max_coeff]\n", - " print(f\"{n_compounds:5.3e}\")\n", - " return n_compounds\n", - "\n", - " compounds = {\n", - " n: {x: unique_compounds(n, x) for x in range(4, 9, 2)}\n", - " for n in range(2, 5)\n", - " }\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " main()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Crystal_Space/0_screening.ipynb b/examples/Crystal_Space/0_screening.ipynb deleted file mode 100644 index 92d9725b..00000000 --- a/examples/Crystal_Space/0_screening.ipynb +++ /dev/null @@ -1,210 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Exploring Chemical Space with SMACT and Materials Project Database" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook, we undertake a comprehensive exploration of binary chemical compositions. This approach can also be extended to explore ternary and quaternary compositions. Our methodology involves two primary tools: the SMACT filter for generating compositions and the Materials Project database for additional data acquisition. \n", - "\n", - "The final phase will categorize the compositions into four distinct categories based on their properties. The categorization is based on whether a composition is allowed by the SMACT filter (smact_allowed) and whether it is present in the Materials Project database (mp). The categories are as follows:\n", - "\n", - "| smact_allowed | mp | label |\n", - "|---------------|------|------------|\n", - "| yes | yes | standard |\n", - "| yes | no | missing |\n", - "| no | yes | interesting|\n", - "| no | no | unlikely |" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Generate compositions with the SMACT filter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We begin by generating binary compositions using the SMACT filter. The SMACT filter serves as a chemical filter including oxidation states and electronegativity test.\n", - "\n", - "[`generate_composition_with_smact`](./generate_composition_with_smact.py) function generates a composition with the SMACT filter. The function takes in the following parameters:\n", - "\n", - "num_elements: number of elements in the composition\n", - "\n", - "max_stoich: maximum stoichiometry of each element\n", - "\n", - "max_atomic_num: maximum atomic number of each element\n", - "\n", - "num_processes: number of processes to run in parallel\n", - "\n", - "save_path: path to save the dataframe containing the compositions with the SMACT filter" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from generate_composition_with_smact import generate_composition_with_smact" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df_smact = generate_composition_with_smact(\n", - " num_elements=2,\n", - " max_stoich=8,\n", - " max_atomic_num=103,\n", - " num_processes=8,\n", - " save_path=\"data/binary/df_binary_label.pkl\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 2. Download data from the Materials Project database" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we download data from the Materials Project database using the `MPRester` class from the [`pymatgen`](https://pymatgen.org/) library. \n", - "\n", - "[`download_mp_data`](./download_compounds_with_mp_api.py) function takes in the following parameters:\n", - "\n", - "mp_api_key: Materials Project API key\n", - "\n", - "num_elements: number of elements in the composition\n", - "\n", - "max_stoich: maximum stoichiometry of each element\n", - "\n", - "save_dir: path to save the downloaded data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "mp_api_key = None # replace with your own MP API key" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from download_compounds_with_mp_api import download_mp_data\n", - "\n", - "# download data from MP for binary compounds\n", - "save_mp_dir = \"data/binary/mp_data\"\n", - "docs = download_mp_data(\n", - " mp_api_key=mp_api_key,\n", - " num_elements=2,\n", - " max_stoich=8,\n", - " save_dir=save_mp_dir,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Categorize compositions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we categorize the compositions into four lables: standard, missing, interesting, and unlikely." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "mp_data = {p.stem: True for p in Path(save_mp_dir).glob(\"*.json\")}\n", - "df_mp = pd.DataFrame.from_dict(mp_data, orient=\"index\", columns=[\"mp\"])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# make category dataframe\n", - "df_category = df_smact.join(df_mp, how=\"left\").fillna(False)\n", - "# make label for each category\n", - "dict_label = {\n", - " (True, True): \"standard\",\n", - " (True, False): \"missing\",\n", - " (False, True): \"interesting\",\n", - " (False, False): \"unlikely\",\n", - "}\n", - "df_category[\"label\"] = df_category.apply(\n", - " lambda x: dict_label[(x[\"smact_allowed\"], x[\"mp\"])], axis=1\n", - ")\n", - "df_category[\"label\"].apply(dict_label.get)\n", - "\n", - "# count number of each label\n", - "print(df_category[\"label\"].value_counts())\n", - "\n", - "# save dataframe\n", - "df_category.to_pickle(\"data/binary/df_binary_category.pkl\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "smact", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.18" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Dopant_Prediction/doper_example.ipynb b/examples/Dopant_Prediction/doper_example.ipynb deleted file mode 100644 index d8e7509a..00000000 --- a/examples/Dopant_Prediction/doper_example.ipynb +++ /dev/null @@ -1,462 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "dc3ab04f", - "metadata": {}, - "source": [ - "# Semiconductor dopant screening\n", - "\n", - "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/develop/examples/Dopant_Prediction/doper_example.ipynb)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "71bfdd77", - "metadata": {}, - "source": [ - "## Application to titanium dioxide" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "e9a6152fe962eb54", - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-07-10T12:47:23.890634Z", - "start_time": "2024-07-10T12:47:23.873630Z" - } - }, - "outputs": [], - "source": [ - "# Imports for colab\n", - "try:\n", - " import google.colab\n", - "\n", - " IN_COLAB = True\n", - "except:\n", - " IN_COLAB = False\n", - "\n", - "if IN_COLAB:\n", - " !pip install git+https://github.com/WMD-group/SMACT.git@develop --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "58e48522", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:23.922627Z", - "start_time": "2024-07-10T12:47:23.912635Z" - } - }, - "outputs": [], - "source": [ - "from smact.dopant_prediction.doper import Doper" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "0d722cf1", - "metadata": {}, - "source": [ - "The Doper module includes `get_dopants` function. These require an input (tuple(str)), which is formed by the ionic species of the material.\n", - "\n", - "By default, the top five p-type and n-type candidates are reported. Use `num_dopants` input to modify the number of outputs.\n", - "\n", - "The output format:\n", - "\n", - "(dict): Dopant suggestions, given as a dictionary with keys \"n_type_cation\", \"p_type_cation\", \"n_type_anion\", \"p_type_anion\".\n", - "\n", - "Each key contains a list of possible dopants in the order of probability (Highest --> Lowest).\n", - "\n", - "Each possible dopant is represented with tuple: ('substituted dopant', 'original specie', 'probability') " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "193682c3", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:26.857982Z", - "start_time": "2024-07-10T12:47:23.929640Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "{'n-type cation substitutions': {'sorted': [['Ta5+',\n 'Ti4+',\n 8.790371775858281e-05,\n 1.0],\n ['Nb5+', 'Ti4+', 7.830035204694342e-05, 1.0],\n ['Sb5+', 'Ti4+', 6.259166355036722e-05, 1.0],\n ['Ru5+', 'Ti4+', 4.904126561555437e-05, 1.0],\n ['Re5+', 'Ti4+', 4.546178573532138e-05, 1.0]],\n '5': [['Ta5+', 'Ti4+', 8.790371775858281e-05, 1.0],\n ['Nb5+', 'Ti4+', 7.830035204694342e-05, 1.0],\n ['Sb5+', 'Ti4+', 6.259166355036722e-05, 1.0],\n ['Ru5+', 'Ti4+', 4.904126561555437e-05, 1.0],\n ['Re5+', 'Ti4+', 4.546178573532138e-05, 1.0]],\n '6': [['W6+', 'Ti4+', 3.4638026110457894e-05, 1.0],\n ['Mo6+', 'Ti4+', 1.6924395455176864e-05, 1.0],\n ['Te6+', 'Ti4+', 1.4299724897106019e-05, 1.0],\n ['U6+', 'Ti4+', 1.4299724897106019e-05, 1.0],\n ['Ir6+', 'Ti4+', 4.061295856299769e-06, 1.0]]},\n 'p-type cation substitutions': {'sorted': [['Na1+',\n 'Ti4+',\n 0.00010060400812977031,\n 1.0],\n ['Zn2+', 'Ti4+', 8.56373996146833e-05, 1.0],\n ['Mn2+', 'Ti4+', 8.563568688381837e-05, 1.0],\n ['Mg2+', 'Ti4+', 6.777016806765154e-05, 1.0],\n ['Fe3+', 'Ti4+', 6.259479321178562e-05, 1.0]],\n '1': [['Na1+', 'Ti4+', 0.00010060400812977031, 1.0],\n ['Li1+', 'Ti4+', 4.90559802023167e-05, 1.0],\n ['Cs1+', 'Ti4+', 4.7198027389186586e-05, 1.0],\n ['K1+', 'Ti4+', 4.3838924025131085e-05, 1.0],\n ['Rb1+', 'Ti4+', 3.3349844147628834e-05, 1.0]],\n '2': [['Zn2+', 'Ti4+', 8.56373996146833e-05, 1.0],\n ['Mn2+', 'Ti4+', 8.563568688381837e-05, 1.0],\n ['Mg2+', 'Ti4+', 6.777016806765154e-05, 1.0],\n ['Ca2+', 'Ti4+', 5.5340892351269824e-05, 1.0],\n ['Ni2+', 'Ti4+', 5.534033894511336e-05, 1.0]],\n '3': [['Fe3+', 'Ti4+', 6.259479321178562e-05, 1.0],\n ['V3+', 'Ti4+', 5.312098771970144e-05, 1.0],\n ['Cr3+', 'Ti4+', 4.234338028148513e-05, 1.0],\n ['Mn3+', 'Ti4+', 3.7092622638148224e-05, 1.0],\n ['Ga3+', 'Ti4+', 3.0368749390927986e-05, 1.0]]},\n 'n-type anion substitutions': {'sorted': [['F1-',\n 'O2-',\n 0.01508116810515677,\n 1.0],\n ['Cl1-', 'O2-', 0.004737202729901607, 1.0],\n ['Br1-', 'O2-', 0.0010829911758767157, 1.0],\n ['I1-', 'O2-', 0.0007848025041948803, 1.0]],\n '-1': [['F1-', 'O2-', 0.01508116810515677, 1.0],\n ['Cl1-', 'O2-', 0.004737202729901607, 1.0],\n ['Br1-', 'O2-', 0.0010829911758767157, 1.0],\n ['I1-', 'O2-', 0.0007848025041948803, 1.0]]},\n 'p-type anion substitutions': {'sorted': [['N3-',\n 'O2-',\n 0.0014663800608945628,\n 1.0]],\n '-3': [['N3-', 'O2-', 0.0014663800608945628, 1.0]]}}" - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "material = Doper((\"Ti4+\", \"O2-\"))\n", - "\n", - "# 5 possible dopants\n", - "material.get_dopants(5)" - ] - }, - { - "cell_type": "markdown", - "id": "a8981931c712eb35", - "metadata": { - "collapsed": false - }, - "source": [ - "The results can be presented in a table format using the `to_table` attribute." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "85b73f0fbcedbcf9", - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-07-10T12:47:26.889530Z", - "start_time": "2024-07-10T12:47:26.863518Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[91mn-type cation substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Ta5+ | Ti4+ | 8.79037e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Nb5+ | Ti4+ | 7.83004e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Sb5+ | Ti4+ | 6.25917e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ru5+ | Ti4+ | 4.90413e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Re5+ | Ti4+ | 4.54618e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m5+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Ta5+ | Ti4+ | 8.79037e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Nb5+ | Ti4+ | 7.83004e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Sb5+ | Ti4+ | 6.25917e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ru5+ | Ti4+ | 4.90413e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Re5+ | Ti4+ | 4.54618e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m6+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | W6+ | Ti4+ | 3.4638e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Mo6+ | Ti4+ | 1.69244e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Te6+ | Ti4+ | 1.42997e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | U6+ | Ti4+ | 1.42997e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ir6+ | Ti4+ | 4.0613e-06 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mp-type cation substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Na1+ | Ti4+ | 0.000100604 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Zn2+ | Ti4+ | 8.56374e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Mn2+ | Ti4+ | 8.56357e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Mg2+ | Ti4+ | 6.77702e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Fe3+ | Ti4+ | 6.25948e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m1+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Na1+ | Ti4+ | 0.000100604 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Li1+ | Ti4+ | 4.9056e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Cs1+ | Ti4+ | 4.7198e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | K1+ | Ti4+ | 4.38389e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Rb1+ | Ti4+ | 3.33498e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m2+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Zn2+ | Ti4+ | 8.56374e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Mn2+ | Ti4+ | 8.56357e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Mg2+ | Ti4+ | 6.77702e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ca2+ | Ti4+ | 5.53409e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ni2+ | Ti4+ | 5.53403e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m3+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Fe3+ | Ti4+ | 6.25948e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | V3+ | Ti4+ | 5.3121e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Cr3+ | Ti4+ | 4.23434e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Mn3+ | Ti4+ | 3.70926e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ga3+ | Ti4+ | 3.03687e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mn-type anion substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | F1- | O2- | 0.0150812 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Cl1- | O2- | 0.0047372 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Br1- | O2- | 0.00108299 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | I1- | O2- | 0.000784803 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m1-\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | F1- | O2- | 0.0150812 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Cl1- | O2- | 0.0047372 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Br1- | O2- | 0.00108299 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | I1- | O2- | 0.000784803 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mp-type anion substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | N3- | O2- | 0.00146638 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m3-\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | N3- | O2- | 0.00146638 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n" - ] - } - ], - "source": [ - "material.to_table" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "11ec5825", - "metadata": {}, - "source": [ - "Ternary and multicomponent systems can also be tested." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "df5a5dbb", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:29.779856Z", - "start_time": "2024-07-10T12:47:26.893523Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "{'n-type cation substitutions': {'sorted': [['Si4+',\n 'Zn2+',\n 0.0002388228584563032,\n 0.21],\n ['Zn2+', 'Cu1+', 0.00021454984717151132, 0.14],\n ['Hg2+', 'Cu1+', 0.00020520758963053147, 0.55],\n ['Ge4+', 'Zn2+', 0.0001751936790055855, 0.1],\n ['P5+', 'Ge4+', 0.0001357428244856664, 0.69]],\n '2': [['Zn2+', 'Cu1+', 0.00021454984717151132, 0.14],\n ['Hg2+', 'Cu1+', 0.00020520758963053147, 0.55],\n ['Cu2+', 'Cu1+', 9.006774407383325e-05, 0.2],\n ['Mn2+', 'Cu1+', 3.960170207846625e-05, 0.09],\n ['Fe2+', 'Cu1+', 3.333914056567426e-05, 0.1]],\n '3': [['Y3+', 'Zn2+', 0.00010200196717382551, 0.95],\n ['Fe3+', 'Zn2+', 7.56685107087228e-05, 0.66],\n ['In3+', 'Cu1+', 5.763684879119039e-05, 0.51],\n ['Cr3+', 'Zn2+', 5.312098771970144e-05, 0.76],\n ['Al3+', 'Zn2+', 5.105799273313971e-05, 0.37]],\n '4': [['Si4+', 'Zn2+', 0.0002388228584563032, 0.21],\n ['Ge4+', 'Zn2+', 0.0001751936790055855, 0.1],\n ['Ti4+', 'Zn2+', 8.56373996146833e-05, 0.54],\n ['Sn4+', 'Zn2+', 5.105186614161457e-05, 0.26],\n ['Zr4+', 'Zn2+', 3.7100190305042186e-05, 0.54]],\n '5': [['P5+', 'Ge4+', 0.0001357428244856664, 0.69],\n ['As5+', 'Ge4+', 0.0001130264767870107, 0.79],\n ['Re5+', 'Zn2+', 0.00010331288468842097, 0.97],\n ['Ru5+', 'Zn2+', 5.104625074519147e-05, 0.9],\n ['V5+', 'Ge4+', 4.7213605308440324e-05, 0.79]],\n '6': [['W6+', 'Zn2+', 0.00011303551926684799, 0.89],\n ['Mo6+', 'Zn2+', 0.00010937934822813194, 0.83],\n ['Cr6+', 'Zn2+', 9.007494978158361e-05, 0.84],\n ['Se6+', 'Zn2+', 4.093527247604727e-05, 0.91],\n ['S6+', 'Zn2+', 3.960130606342555e-05, 0.82]],\n '7': [['I7+', 'Zn2+', 2.213840978155442e-05, 0.57],\n ['I7+', 'Ge4+', 1.6924395455176864e-05, 0.43],\n ['Re7+', 'Zn2+', 1.1726076225980498e-05, 0.68],\n ['Ru7+', 'Zn2+', 5.515465741620002e-06, 0.97],\n ['Re7+', 'Ge4+', 5.513899571756029e-06, 0.32]]},\n 'p-type cation substitutions': {'sorted': [['Na1+',\n 'Zn2+',\n 0.00025743109681607455,\n 0.79],\n ['Cu1+', 'Zn2+', 0.00021454984717151132, 0.06],\n ['Zn2+', 'Ge4+', 0.0001751936790055855, 0.11],\n ['K1+', 'Zn2+', 0.0001201669587993145, 0.86],\n ['Cd2+', 'Ge4+', 0.0001186113401908585, 0.25]],\n '1': [['Na1+', 'Zn2+', 0.00025743109681607455, 0.79],\n ['Cu1+', 'Zn2+', 0.00021454984717151132, 0.06],\n ['K1+', 'Zn2+', 0.0001201669587993145, 0.86],\n ['Li1+', 'Zn2+', 0.00011056151900498101, 0.39],\n ['Li1+', 'Ge4+', 0.00010060300209471921, 0.35]],\n '2': [['Zn2+', 'Ge4+', 0.0001751936790055855, 0.11],\n ['Cd2+', 'Ge4+', 0.0001186113401908585, 0.25],\n ['Co2+', 'Ge4+', 0.00011180229621616318, 0.22],\n ['Cu2+', 'Ge4+', 0.00010059797207036612, 0.23],\n ['Be2+', 'Ge4+', 9.754093139774343e-05, 0.68]],\n '3': [['Al3+', 'Ge4+', 4.905401800235286e-05, 0.35],\n ['Ga3+', 'Ge4+', 3.9596158228253835e-05, 0.37],\n ['Fe3+', 'Ge4+', 3.835796118569564e-05, 0.34],\n ['Bi3+', 'Ge4+', 2.2136882283978765e-05, 0.44],\n ['Cr3+', 'Ge4+', 1.6924395455176864e-05, 0.24]]},\n 'n-type anion substitutions': {'sorted': [['Cl1-',\n 'S2-',\n 0.000708721114826238,\n 1.0],\n ['Br1-', 'S2-', 0.00037892265173268845, 1.0],\n ['I1-', 'S2-', 0.0003595495863623017, 1.0],\n ['F1-', 'S2-', 0.00021217514709258802, 1.0]],\n '-1': [['Cl1-', 'S2-', 0.000708721114826238, 1.0],\n ['Br1-', 'S2-', 0.00037892265173268845, 1.0],\n ['I1-', 'S2-', 0.0003595495863623017, 1.0],\n ['F1-', 'S2-', 0.00021217514709258802, 1.0]]},\n 'p-type anion substitutions': {'sorted': [['N3-',\n 'S2-',\n 0.0007862635952461277,\n 1.0]],\n '-3': [['N3-', 'S2-', 0.0007862635952461277, 1.0]]}}" - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "quaternary = Doper((\"Cu1+\", \"Zn2+\", \"Ge4+\", \"S2-\"))\n", - "quaternary.get_dopants()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "f2524a92", - "metadata": {}, - "source": [ - "If you want to plot the results in the form of heatmap, use `plot_dopants` method.\n", - "\n", - "Default color scheme of the heatmap is 'YlOrRd'. Refer to the matplotlib documentation for other options using \"cmap\" parameter" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "dc29d078", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:32.311541Z", - "start_time": "2024-07-10T12:47:29.785864Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n" - ] - }, - { - "data": { - "text/plain": "
", - "image/png": 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" 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" 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "quaternary.plot_dopants(cmap=\"Reds\")" - ] - }, - { - "cell_type": "markdown", - "id": "97bc99c142543c4a", - "metadata": { - "collapsed": false - }, - "source": [ - "## Alternative metrics\n", - "\n", - "The probability values for the dopants are calculated based on the algorithm presented in:\n", - " [Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011)\n", - " Data Mined Ionic Substitutions for the Discovery of New Compounds.\n", - " Inorganic Chemistry, 50(2), 656-663](https://pubs.acs.org/doi/10.1021/ic102031h)\n", - " \n", - "In SMACT, we can also provide alternative ways for determing the possible dopants based on alternative probability or similarity metrics.\n", - "\n", - "For example, we have a similarity metric based on distributed representations of the ions, which we call `skipspecies`. This metric is based on the idea that similar ions should have similar embeddings. The similarity is calculated based on the cosine similarity of the embeddings of the ions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9d9781a", - "metadata": { - "is_executing": true, - "ExecuteTime": { - "start_time": "2024-07-10T12:47:32.316534Z" - } - }, - "outputs": [], - "source": [ - "doper_skipspecies = Doper(\n", - " (\"Ti4+\", \"O2-\"), embedding=\"skipspecies\", use_probability=False\n", - ")\n", - "doper_skipspecies.get_dopants(5)\n", - "# Present results in a table\n", - "doper_skipspecies.to_table" - ] - }, - { - "cell_type": "markdown", - "id": "df4ed5ade4ff40c5", - "metadata": { - "collapsed": false - }, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb b/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb deleted file mode 100644 index 465a5f44..00000000 --- a/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb +++ /dev/null @@ -1,565 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Formate perovskites\n", - "\n", - "Perovskites are an important class of inorganic materials, particularly for solar energy applications.\n", - "Usually, the perovskite structure contains an A cation, a B cation and an C anion in the ratio 1:1:3 (black, blue and red in the figure below, respectively, [see wikipeidia for more information](https://en.wikipedia.org/wiki/Perovskite_(structure)).\n", - "\n", - "\n", - "\n", - "\n", - "Here we search for charge inverted perovskites, i.e. with an anion on the A site. This class of material is closely related to perovskites, and may represent another fruitful search space for new photovoltaic materials. \n", - "\n", - "In this example we assume a simple [formate moelcule](https://en.wikipedia.org/wiki/Formate) as the C-site and uses [Goldschmidt ratio rules](https://en.wikipedia.org/wiki/Goldschmidt_tolerance_factor) as part of the screening.\n", - "These rules allow us to estimate whether or not a perovskite structure is likely to form based on data about ionic size alone. The tolerance factor is defined as a ratio of the radii of the A, B and C species\n", - "\n", - "\n", - "\\begin{equation*}\n", - "t = \\frac{r^A + r^C}{\\sqrt{2}(r^B + r^C)} ,\n", - "\\end{equation*}\n", - "\n", - "Values of t > 1 imply a relatively large A site favoring a hexagonal structure, 0.9 < t < 1 predicts a cubic structure, and 0.7 < t < 0.9 means that the A site is small, preferring an orthorhombic structure. For t < 0.7, other (non-perovskite) structures are predicted.\n", - "\n", - "We also apply the standard charge neutrality and electronegativity tests as described [in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations).\n", - "\n", - "\n", - "We outline 2 approaches for achieveing the same result:\n", - "\n", - "1. The methodology is written out explicitly for transparency, including accessing the `smact` data directory directly and storing element and species information as simple lists of strings, ints and floats.\n", - "\n", - "2. Fewer lines of code are used, making use of inbuilt `smact` functions. Element and species information is stored directly as Element and Species objects." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "### IMPORTS ###\n", - "get_ipython().magic(\"matplotlib inline\") # plots appear in the notebook\n", - "import copy\n", - "import csv\n", - "import os\n", - "from itertools import product\n", - "\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "import smact\n", - "import smact.lattice as lattice\n", - "import smact.screening as screening\n", - "from smact import Element, Species, data_directory" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we define the positions of the 3 sites in the perovskite structure and specify the allowed oxidation states at each site. Note that the A site is defined as an anion (i.e. with a -1 oxidation state)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "site_A = lattice.Site([0, 0, 0], [-1])\n", - "site_B = lattice.Site([0.5, 0.5, 0.5], [+5, +4])\n", - "site_C = lattice.Site([0.5, 0.5, 0.5], [-2, -1])\n", - "perovskite = lattice.Lattice([site_A, site_B, site_C], space_group=221)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___\n", - "### Approach 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now search through the elements of interest (Li-Fr) and find those that are allowed on each site. In this example, we use the F- anion with an increased Shannon radius to simulate the formate anion. We access the Shannon radii data directly from the smact data directory and are interested in the octahedral (6_n) Shannon radius. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "search = smact.ordered_elements(3, 87) # Li - Fr\n", - "\n", - "A_list = [] # will be populated with anions\n", - "B_list = [] # will be populated with cations\n", - "C_list = [[\"F\", -1, 4.47]] # is always the \"formate anion\"\n", - "for element in search:\n", - " with open(os.path.join(data_directory, \"shannon_radii.csv\")) as f:\n", - " reader = csv.reader(f)\n", - " r_shannon = False\n", - " for row in reader:\n", - " if (\n", - " row[2] == \"6_n\"\n", - " and row[0] == element\n", - " and int(row[1]) in site_A.oxidation_states\n", - " ):\n", - " A_list.append([row[0], int(row[1]), float(row[4])])\n", - " if (\n", - " row[2] == \"6_n\"\n", - " and row[0] == element\n", - " and int(row[1]) in site_B.oxidation_states\n", - " ):\n", - " B_list.append([row[0], int(row[1]), float(row[4])])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*NB: We access the data directly from the data directory file here for transparency. However, reading the file multiple times would slow down the code if we were looping over many (perhaps millions to billions) of compositions. As such, reading all the data in once into a dictionary, then accessing that dictionary from within a loop, could be preferable, e.g.:*\n", - "``` python\n", - "for element in search:\n", - " ...\n", - " r_shannon = shannon_radii[element][coordination]\n", - " ...\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We go through and apply the electronegativity order test (pauling_test) to each combo. Then, we use Goldschmidt tolernace factor to group into crystal structure types." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# We define the different categories of list we will populate\n", - "charge_balanced = []\n", - "goldschmidt_cubic = []\n", - "goldschmidt_ortho = []\n", - "a_too_large = []\n", - "A_B_similar = []\n", - "pauling_perov = []\n", - "anion_stats = []\n", - "\n", - "# We recursively search all ABC combinations using nested for loops\n", - "for C in C_list:\n", - " anion_hex = 0\n", - " anion_cub = 0\n", - " anion_ort = 0\n", - " for B in B_list:\n", - " for A in A_list:\n", - " # We check that we have 3 different elements\n", - " if B[0] != A[0]:\n", - " # Check for charge neutrality\n", - " if int(A[1]) + int(B[1]) + 3 * int(C[1]) == 0:\n", - " charge_balanced.append([A[0], B[0], C[0]])\n", - " # We apply the pauling electronegativity test\n", - " paul_a = smact.Element(A[0]).pauling_eneg\n", - " paul_b = smact.Element(B[0]).pauling_eneg\n", - " paul_c = smact.Element(C[0]).pauling_eneg\n", - " electroneg_makes_sense = screening.pauling_test(\n", - " [A[1], B[1], C[1]], [paul_a, paul_b, paul_c]\n", - " )\n", - " if electroneg_makes_sense:\n", - " pauling_perov.append([A[0], B[0], C[0]])\n", - " # We calculate the Goldschmidt tolerance factor\n", - " tol = (float(A[2]) + C[2]) / (\n", - " np.sqrt(2) * (float(B[2]) + C[2])\n", - " )\n", - " if tol > 1.0:\n", - " a_too_large.append([A[0], B[0], C[0]])\n", - " anion_hex = anion_hex + 1\n", - " if tol > 0.9 and tol <= 1.0:\n", - " goldschmidt_cubic.append([A[0], B[0], C[0]])\n", - " anion_cub = anion_cub + 1\n", - " if tol >= 0.71 and tol < 0.9:\n", - " goldschmidt_ortho.append([A[0], B[0], C[0]])\n", - " anion_ort = anion_ort + 1\n", - " if tol < 0.71:\n", - " A_B_similar.append([A[0], B[0], C[0]])\n", - "anion_stats.append([anion_hex, anion_cub, anion_ort])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[1, 40, 91]]\n", - "Number of possible charge neutral perovskites from Li to Fr = 132\n", - "Number of Pauling senseibe perovskites from Li to Fr = 132\n", - "Number of possible cubic perovskites from Li to Fr = 40\n", - "Number of possible ortho perovskites from Li to Fr = 91\n", - "Number of possible hexagonal perovskites from Li to Fr = 1\n", - "Number of possible non-perovskites from Li to Fr = 0\n", - "----------------------------------------------------------------\n", - "Structures identified with cubic tolerance factor 0.9 < t < 1.0 \n", - "----------------------------------------------------------------\n", - "Cl C (HCOO)3\n", - "Br C (HCOO)3\n", - "Cl Si (HCOO)3\n", - "Br Si (HCOO)3\n", - "I Si (HCOO)3\n", - "Cl S (HCOO)3\n", - "Br S (HCOO)3\n", - "I S (HCOO)3\n", - "I Ti (HCOO)3\n", - "Br V (HCOO)3\n", - "I V (HCOO)3\n", - "Br Cr (HCOO)3\n", - "I Cr (HCOO)3\n", - "Br Mn (HCOO)3\n", - "I Mn (HCOO)3\n", - "I Fe (HCOO)3\n", - "Br Co (HCOO)3\n", - "I Co (HCOO)3\n", - "Br Ni (HCOO)3\n", - "I Ni (HCOO)3\n", - "Br Ge (HCOO)3\n", - "I Ge (HCOO)3\n", - "Br Se (HCOO)3\n", - "I Se (HCOO)3\n", - "I Zr (HCOO)3\n", - "I Nb (HCOO)3\n", - "I Mo (HCOO)3\n", - "I Tc (HCOO)3\n", - "I Ru (HCOO)3\n", - "I Rh (HCOO)3\n", - "I Pd (HCOO)3\n", - "I Sn (HCOO)3\n", - "I Tb (HCOO)3\n", - "I Hf (HCOO)3\n", - "I Ta (HCOO)3\n", - "I W (HCOO)3\n", - "I Re (HCOO)3\n", - "I Os (HCOO)3\n", - "I Ir (HCOO)3\n", - "I Pt (HCOO)3\n" - ] - }, - { - "data": { - "image/png": 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qfvt+iDNlmkduzWDqSDe53VwVPpeLMV268Ohddx3Ozspi6+7dHDp2rNHzRw8bxh3z57PkxhuZMGoUSimOFxezYedO5s2YQV5uLhWVlTz1yiscLy7mjvnz+eLixSil+N0bb3C8xJFry/H2WNDv/wunixC1Eh3IpfZt4+lU8fdZM/cfBUygC60HYR7W4u9hrXVhDGujIN/nAv5ImiwWVN0/fK6F/uHzl6zHema33o4+ekpTck7Ts5tiaF/7bVtno9Nsny8yym7FFh492ur5qscc5+XmMtcei7xj3z7KLl7ktjlzmDlxIuNHjuSLixdjmiZrtmxp9Zwp6heycWrySHQgV7+rp8fh3LH4WpzcF+jvgcUOvn5MDcizfhzF5zShcNPf1qOlZr1jW3LODu8udVrTDTc67ZJpLQDX1Ay8htZu20ZxaSl33XQTHnsSSXGp1V4Y3L9/zXF5ublk+XwUnXZs9GO85QDPB/3+1O4iSxOJDuS3sVqjE5RS7V3Dt/rST3Yzj7c21GxoM/cPxvo+VABnmzmm2mngCuCxh/DFhD0T799idb5kkJutGJiniJiw41DjYW0HT5qUXYZuPhjSt/UWcvcs65hT5zXllVYOa2/9GSXH7Ikeud27t3iu8xcu8OH69UwdP56hAwbU3J/htSarhEK117m01oRCoZj2hSeh64B/dboIkeBAtv/Mf9H+9JdKqRbXtFVKXa2Uqm6unLBvxzRxXF9gSisvf59Sqqneyuo+tDVa6xZ6PMG+IPiB/emjrbxemxTk+9xY++B1aeXQlHPjJKvR9daGEKfLakP5YrnmlTWhmmPqLjC0+tMwT7xYyfPL6w+9GNJXkZMFoQi8uDJERZVGe7QLwLTGIfc+VlyMy+Vi3IgRLdb1xvLlZHi9LJw9u979/ey1K7bs3l1z3yf79xMKh+nfxKJFaSYQ9PvnOl1EZ+fEnyl/izUmeCbwkVLqMa31J3UPUEp1BfKxRj/MB4qAD7FWr/q6Uuq5OhNGegK/pfmWc7UBwBNKqX/Q2up7tIewVe+w8JM21v8jrK6Ff1BK7dNaP9ug9jEAWuu9bTzft4EZbTw2pVw73M3115is3R3hP/9UxagBLtwuOHDCpCIE44e6mD2u/vS7yxWa0jJNToPhwB634oH5Xp5ZFuKTwyYH/1hJ326hCd0vhzleVcXp48f7KKVaXMUN4NMDB9j32Wfcv2hRvdl7ABNGj2bFpk1s3LmT4tJSfF26UHjkCB63m9lTWvt9n/JcwO+Dfv+4gGFccrqYzirhgay1PquUmo21uNBsYKdSajewF6tbYgBWQGViTZuu7kZ4CSs8JwO7lFJrsNa6mI41pO014K4WXvpXWBMtPqeU2ow1BG8e1vfgF1rrN9tY/0al1F8DTwLPKKX+GatvPBNrfOd44Mv219OignzfOOB7bXndVHXPbC/D+rlYsyvMwSITHcXym6MHuvn7exUrd0YoPGly9KzZHbOcHLebsUOHls2dObN73f7fhioqK3lrxQpGDhnCxNGjGz3ucbt55O67WbpqFYVHjhCORBjYrx+33nBDk8t6pqHBwPexrmcIByjdxoVd4vLiSt2BNZV6FtAXKxxLsWbBvQ48r7W+XOf4nsAPgTuxArUIeBWr/+unWLsuf7luq1Up9Wz1/cBOrDfcDYAPa5W5XwBP6QbfCHvK9L8C39daf6+J2idg/YK4EegHXMYasfEe8D9a6xYv9Rfk+xSwms62OWkMqQrX5q7Le00DOLNkyS7t9Y5r7TmiVRFgWsAwtjtdSGfkaCB3ZgX5vkeB/3W6jpQWUjuzP8ibCBLIMbYRmBUwjLYtMiJipjNNDEkaBfm+PODHTteR8pROuwuhSWIGMoPPERLIzvhPoKfTRaQ8V/qNTEkiwaDf33yHvIgLCeQEK8j3zcbq0xbRko1O4ykHCDpdRGcjgZx4/05s19zpzNJ+rUyHPRT0+yc4XURnIoGcQAX5vvlYQ/1EbGRp5Kp0HLmQax0JJYGcWP/sdAFpRaFw1w6LFHGxKOj3p/U2KslEAjlBCvJ91wE3OV1Huqne6FTE1Q+dLqCzkEBOnH9xuoC01MxGpyKm5gb9/lucLqIzkEBOgIJ832RAdvuNg+qNTkXc/aPTBXQGsgZqYjTbd7zq0zCfFZsUndVcKtdUVIEvE67q5WL6KDdTRrhQTaz3YGrN2t0RNu2LcOq8xqWgfy/F9dd4mDLC3cQrtayjdRw9ZfLG+hDHSjVdvDBxuJs7ZnrI9DZRs6n5yWtVlFfC/7kvo9ndqNtDe00J5MRYEPT7J8mU6viSQI4zewGhu5t7fPmOMJfKoV+utRNGhsdajL3whMmBEyY7Drl45FZvvUV4TFPz7Pshdh0x6eKF0QNdhCNw4KTJcx+FOFJicvcN3nbV2ZE6yi5rfvlWFRHTquHcJeuXxNmLmq8uarzS6apPIxw/rfnr270xCWMA7dWySWfiPA485HQR6UwCOf7+iRbGHf/lTRkM6KUatSiLz5r86u0qdh0x2bw/wozRtT+qjz+NsOuISd9cxd8szqCbvXh7aZnJz9+oYvWuCCMHuBg/tO0t5Y7UsXxHmKowfGmBl6kj3Zim5tfvhth7zOToKZPBfWp7xM5d0izbEmbKCBejB7a/Bd8c7TUlkBPngaDf/52AYZx0upB0JX3IcVSQ7xsJfKGlY4b3czX5532/ni5uGGeF3/7jtWu8mKZm+Q5rHf17Zntrwhigd3cXi2daLeMPtrW41n7UdQAcP23iccPkEdbbyOVSzBhthe2RU/WP/fOaEG4XLJnVvpZ7a7S3dhdxEXde4BtOF5HOJJDjyw90uDnosvPR464NysOnNJfKoXtXuLp/4x/ftcOtReCPlWrKLsdmzkRTdQBcqQBfBvW6MbLsPWBCdX4f7PzMatHfMdNDN1+MJynW2ehUJER+0O/v6nQR6UoCOU4K8n0eWmkdt+TMBZN1e6xUGzek9sd04rSVP4N7N/2jy/Ao+uZaoXfiTPRZ1VwdALndFJcq4EpFbfCfOm/9u1eOVUNFlea1tSGG969tPcdSw41ORdzlAvc5XUS6kj7k+LkF6NXWgzfus3bUiJjWxbLDxRoN3DTJzYRhtUF29qKVP7nZzbc0c7MVJ89ozl5of1a1tQ6wAnrvMZPX1oa483ov5y5pVuwMk+mtbb2/u8m6WJi/2NvkKI1oNdzoVCTEQ1j7QIoYk0COny+25+DPijWb99e2aF0KFk7zMG9C/RCssi9hZbTQFVv9WGUHLne1tQ6AmWPcbN4fYUuhyZbCypr775ntIdunOFZqsmZ3hFumeOjbo7Z1HY5Yw/RcrhgMe7M3OhUJNT/o9w8OGEaLu+KI9pNAjoOCfF8XWt7fr5H753m5f56XUFhz5qJm074I720Js+NQhEcXZtC9qxVe8W4OtrUOALdL8bXPZbD5QITjpZoML0wc5mZoXxemqXn54xB5OYqbJllhvvdYhLc2hCk6awXyiAEu7rnBQ173KDLVY0ogJ54CHsTa8FfEkLyZ42Mx0K0jT/R6FP1yXXzuOi+3z/Bw8ozmz2tqm7qZduu3qoXWb/VjmVEMaGitjmoet+K6MR7uneNlyXVehva13lIffxrh5BnNfXO8eNyKo6dMnlpqPf+hm718fraH46Umv3yrioqqjv+a0W4tjQpnPOh0AelIAjk+2tVd0ZwZo6yW5a4jJhH72lXPblYL9dyl5kPs/KX6x8ajjpacu6RZtjnM9NFurr7Keout3BnG1PDILV6uHe5m1lgPi2d6OH8ZthVGMXLNLX/lOWR00O+f6XQR6UYCOcYK8n3dsFrIUeuSafXhmtoaYgYwIM/6kR0tbXoERVVYU3xO1zs2HnW05NXVITK88LmZtVl58qymaxfqdU8MtSeOnDwbVQu58ZRAkSj3O11AupFAjr27IDZ7vR0qMjG1Nda3q33GoX0U2T4ouwwHixqH8o5D1giJQb1Vvf7eWNfRnB2HIuw+anLnLC9ZXWpfP8NTf2wyQFX75q40TTY6dVJMGh6ilgRy7D3Q1gMPFZlsORAhHGncQvys2OSllVZizRjjrhmR4HIp5k+0Wp6vrA5xsbz2uaVlJm9vsPppb57c+C/5tzeGeOLFSt7eWL8vuCN1NKV6zPGoga5GCxz17+miKgzbD9Z2T2zab/17QF4Uvzhko1MnjQr6/SOcLiKdSP9bDBXk+3phjT9uk9MXTF5cGebPa6zuhW5ZUFkFZy5qSuxuh7GDXSyaVv/HNG+Cm0NFJruPmjzxQiUjB7iImLD/hEk4ArPHuZtcx+LCFU1pmebClfrB29E6GnpnY5jySrh3duPjbprkZmthhOc+CrH5QITySs3hEk2vborJV0cxYUQ2OnXaYuAnTheRLiSQY+sOrPn+bXJ1fxe3THFzqEhTWmZyuMS6v5sPJg5zMWWkmwlNBKvLpfjybV7W7oqwaX+EfcdNlIKBeYobxrV/+c2O1lHX0VMma/dEWDTdQ6+cxn949e7hIv/2DN7ZFOLACROPy5rm/bnrvE2uodEOstGpsySQY0hpmegUMwX5vl8DX3W6jk5Fo7suzePskjt3a693nNPldEJVQK+AYVxyupB0IH3IsSXDgBJNNjp1WgZwo9NFpAsJ5BgpyPdlA9JCc4BsdOq4G5wuIF1IIMfOdKJYalNEQTY6ddp1TheQLiSQY0felA6RjU4dNy3o98sAgRiQQI4d6T92iGx06rgsYKLTRaQDCeTYkUB2iGx0mhRmOV1AOpBAjoGCfN9QoJ/TdXRWstFpUpAuuxiQQI4NeTM6SDY6TQqTnC4gHUggx4Z0VzhJNjpNBiOCfr/kSZTkGxgbEsgO0l5TAtl5XYDBTheR6iSQY2Ok0wV0ZtqrY797quiIUU4XkOokkKNUkO/zAXlO19GZaY8EcpIY7XQBqU4COXqDnC6g05ONTpOFtJCjJG/k6Em/mcNko9OkIV13UZJAjp60kJ0mG50mCxmLHyUJ5OgNdLqAzk67dabTNQgAejtdQKqTQI5eH6cL6PSUBHKSkIvbUZJAjl4vpwvo9GSj02SREfT7ezhdRCqTQI6etAqcJhudJhPptoiCBHL0pIXsPNnoNHlIIEdBAjl6EsjOk0BOHt2dLiCVSSBHT96ATlMomauXNGQIYhQkkKMnSz8mAwnkZCGBHAUJ5OhVOV2AAJR2ugJhkY1+oyCBHL1KpwsQgFLSRk4O0kKOgnzzoictZIdovBfD3inbI57xvVHea5yuRwCSKVGRb170JJATzHT13x3yzjqjXb0no9Qcp+sR9UiXRRQkkKMngZwAdmt4m7SGk578f4iCBHL05A0YR6ar/56Qd9ZpuzU81+l6RKsuO11AKpNAjp4EcoxpvJfs1nAeyjvW6XpEu0ggR0ECOXoyyiJGTFe/PSHv9aelbzilXXK6gFQmgRw9aSFHwWoNT94W8UzoLa3htHDO6QJSmQRy9CSQO0Baw2nrvNMFpDIJ5OidcbqAVCGt4bSnkRZyVCSQo3fA6QKSndUannVau/pMktZwWisOGEbI6SJSmQRy9AqdLiAZ1baGx+ehMqQ13DkcdrqAVCeBHD1pIddhuvruDXmvP6VdfaRvuPM54nQBqU4COXqFWH1nnXZxG6s1PGlbxDOhFyrjGmCM0zUJR0ggR0lWe4vS40+WlwMnnK7DCaar797KzLs/rvR9RUe8U+fYYSw6r8NOF5DqpIUcG4XAQKeLSARpDYsWSAs5ShLIsXEAmO90EfFk9w2XykgJ0YL9TheQ6iSQYyMtL+xpPJfD3slbpTUs2uACcMjpIlKdBHJspFUgm66++0Le60tkpIRoh+0Bw5B9tKIkgRwbKT8W2W4Nb4t4JvS0W8Ojna5JpJStTheQDiSQY6MQa/fplNstwWoNzzqlXX2vRanZTtcjUtY2pwtIBzLsLQYef7K8AtjkdB1tpfFcDnmnrarwfWV3VZe7R2t3vzkoleN0XSKlSSDHgLSQY+d94Dqni2iJ6epj9w33lZESIpbKgT1OF5EOJJBj533gX5wuoiGrb3jStohnYi4qYxzSNyxib03AMMJOF5EOJJBjZz3WbgnZThcCjVrD0jfcDqFwmHXbt/PpgQOcOXeOiGmSnZXFgL59uX7yZIZcdVW9409KLYgsAAAT7UlEQVSdPcuqzZv57PhxLly+jEspcnNyGDV0KHOmTSM7K6vdNZScOcPHmzdz6NgxLpeX48vMZOiAAcyZNo2Bffs2+ZxjxcW8+/HHnCgpITMjg3EjR7JozhwyvN5Gx5qmyS9feIGKykq++eCDeD1RRcGH0TxZ1JJAjpHHnywPFeT7VgKLnapB47kS9k7aEvFM7Cmt4Y45W1bGs3/+M2fOn6drVhZDBw7E43Zz7sIF9hw8SL+8vHqBvP/wYZ57803CkQi9evRgzLBhhCMRjhUVsXrrVrbv3ctX77uPvNzcNtew5+BBXnjnHcKRCL1zcxnUrx9ny8r49MABdhcWcu9tt3HtmPpDwssuXeLpV14hEokwYsgQyi5eZOPOnZy/cIGH77qr0Wus276dk6dO8cjdd0cbxiCBHDMSyLH1AQ4Esunqsz/kvb5Y+oajUxUK8cyrr3K2rIwFM2eyYMYM3O7agTNXysu5UlFR87mpNa998AHhSISbrruOBTNnopSqOdfzb73FgSNHeHfVKh5csqRNNVy8fJmXli4lHImwcM4c5kydWvPYzn37eGnpUl59/30G9+9PbvfuNY+t2ryZqlCI+xYuZNKYMZimybN//jP7Dx/meHExA/v1qzn2/MWLfLBuHdeOGcPIIUM6/P2qPh2wJdqTCIuMsoit9xP1QhrPFXukxK6qLp8fpd395spIiegs37CBs2VlTB47lptnzaoXxgBZPl+9lu6Zc+cou3QJr8fD/BkzasIYIMPrZcHMmQAcKypqcw1bd+2iKhSyuifqhDHAxNGjuXbMGMKRCKu21M/Ak6dO4XG7mTja+qPI5XIxddw4AI42eP23li/H7XZz+9y5ba6rBSsChmHG4kRCAjmmHn+yfBfQ9v99HWC6+uyvzLzz40rfX4Ui3mlz7K4JEaVwJMLmTz8FYO706W16jsfdtmHnWT5fm+s4XlICwNWDBzf5+IhBgwDYVVh/LtKVigq6ZGbiqvNLwdelC2B9bdV2FRay59AhFs6Z06G+7SZId0UMSZdF7H0APBjLE9p9w1vrjJQYFcvzCzhZUsKVigq6d+tGn549OXLyJPs++4wr5eVkd+3KqCFDGNzgYl6PnBx65+ZSeu4cKzZtYkGdVnJVKMTyDRsAmD5+fJvrqApZOyB1tcO0oepwv3TlChcuXSIn27qGnJuTw+lz57hSUUGW/dzSs2drHgOorKrirRUrGDpgAFOvidlKqW/H6kRCAjkeYhbIVt/wrGLt6iez6OKs+Iy1V22vHj3407JlbNtTf1jt8g0bGDdiBPctXFhzEUwpxb0LF/L711/nw3Xr2L5nD/3y8mou6plac/P113P95MltrqOr3Wo9e+FCk4+fLSur+fe5CxdqAnnMsGHsP3yYt1esYPG8eZy/eJE1W7eSmZHB8IHWyrDvr13L5fJyvvL5z9frXonCpoBhfBaLEwmLBHLsRdWPrPFciXiu3Rr2TsxFZUprOEHK7Yt1h0+cQJsms6dOZcaECWR16cLhEyd4Y/lydhUWkvnRR9xz6601zxvYty/599/PC++8w4mSEs6cP1/z2NWDBjGkf/92hd/wQYPYsXcv2/fs4abrrqs3ZM3UuqZbBaCisrLm39MmTGDbnj1s37uX7Xv31ty/5MYb6ZqVxfGSEtbv2MGCmTPp3bNnzePhcBiXy4XL1aHey5c68iTRPAnkGHv8yfKignzfGuCG9jzPdPU+EPJeXyStYWdobS1UZpom08aPZ9Gc2sEqY6++mm7Z2fzqj39k2549LJg5k572CIfdhYW8vGwZebm5fOWeexjQpw9V4TAHjx5l6apVPP3qq9x98801F9hac+3o0Xy8aRNnzp/nmVdf5fZ58+jbqxdny8p4f+1aik+fxuVyYZpmvf5it8vFo/fdx7Y9e6xxyF4v40aMYPBVV2GaJq998AG9evRg3rRpABw4fJilq1db51OK4YMGseTGG+nVo0d7vm0SyDEmgRwfz9CGQK7TGu6ByhwPjIx/aaIpmRkZNf+e1kSf78C+fbmqb19OlJRw6PhxenbvztmyMl589126ZGbylc9/vuYiWpfMTCaPHUvP7t3535de4p2VK7nm6qtrHm+J1+Ph4bvu4g9vvMHRoiJ+9cILNY+5lOK22bNZuXEjFVVVjc7ncbuZPn58oz7rtdu2UVxayl/dey8ej4fjxcX87o036NOzJw/cfjvllZW8t2YNT73yCt968MF634sWbAgYxtG2HCjaTgI5Pl4Cfgo0eRlbWsPJp0dO7YjBnjlNjx7MzcnhREkJly5fBmDHvn2EIxFGDxvWZNgOueoqeuTkcO7CBU6UlDCijWN+e/Xowd/+5V+y79AhjhQVUVFZSfdu3Rg/ciRZmZksW70al1L06dWr1XOdv3CBD9evZ8q4cQyz+5JXb92KaZp86Y47alrESile++ADduzdy4yJE9tS5ott+mJEu0ggx8HjT5ZfLMj3vUKdi3sad3nEM2mLtIaT01V9+tT8+0pFRc3FtbqulJcD1PTrltkX3rq00KLskplZc872cLtcXDNiBNeMGFHv/m27dwMwqH//JqdEN/TmihV4vV4W1umCKS4tJcvnq9c9Mbh/fwCKTp9uS3kRJJDjQsYhx8+zAKYr70Bl5p0rK32PVoUzps+2w1gkme7Z2QyyZ7MdPHas0ePlFRWcPHUKgAH2WhLd7BEOx4qLmzxneUVF7dCzOrPqOipimqzeaq0DP2vSpFaP//TAAfYeOsTiuXNrhsIBeL1ewuH6awFVD7dr4+XHNwKGcbKNZYt2kECOn+UVXR58r6rLvSO1u/88lIr+f6SIq3kzZgDw0YYNNeEL1mJDr3/0ERVVVVzVp09Na3LciBEorJlwKzduxNS1OxhVVFbyyvvv16xxMaBOCxzg5WXLMH77W9Zt396ojpOnThGpM5kDrHB/6d13KT59mlFDhzJhVMuDbyoqK3lrxQpGDB7caN2Lfnl5VIVCfLK/dk/SrXbLu3+DOpvxi7YcJNpPuizi5PEny3XQ7/8QuLXVg0VSGDt8OLOnTmX1li386sUXGdSvH74uXTheXMzFy5fJyc7m/kWLaoax9cvL46ZZs/hg3TreW7uWzbt20S8vj1A4zPGSEsorKsjMyOC+225rNKys7MIFayKH3Q1S1zsrV1J8+jT9e/cmu2tXrpSXc7SoiKpQiOEDB/LA7be3+rW8t3YtFZWV3HnTTY0emzd9OjvsdTG27dlDeUUFR4uK6Nm9O9eObnU9qn3I7Ly4kUCOr6eA7wOtX14XSWHRnDkM7t+f9du3c7K0lFA4TI9u3bhhyhTmTZvWqG95wcyZDLnqKtbv2MGx4mL2ffYZyl5+c9KYMcyeMqXeBcO2mDR2LDv27ePUmTMcOXmSzIwMBvbrx5SxY5k0dmyr45qPFRezcedObrn++prheXXl5eby5bvv5v21azl49Chut5vxI0eyaO7ctvRL/0o2M40fpbV8b+Mp6Pc/AzzidB1CxMAVYEDAMM63eqToEOlDjr8fA7IalkgHf5Awji8J5DgLGMZe4FWn6xAiSmHgCaeLSHcSyInxI6cLECJKv5eFhOJPAjkBAoaxHXjH6TqE6KAI0qhICAnkxPmh0wUI0UHPBQzjoNNFdAYSyAkSMIx1WGslC5FKpHWcQBLIifUPyIgLkVr+EDCM/a0fJmJBAjmBAoaxA3ja6TqEaKNLwD86XURnIoGceP8MXHS6CCHa4EcBw4jrpr2iPgnkBAsYRgkQdLoOIVpxEDCcLqKzkUB2hgEcdroIIVrweMAwKls/TMSSBLID7Df6t5yuQ4hmvBcwjDfacqBSyqWU+pJS6nWl1AmlVKVS6qxSarNS6gdKqTat59lRSqnDSimtlBoaz9dJFAlkh9hv+D86XYcQDZQD32jLgUqpgcBG4DngDuAo1jIBa4FhWNdLDiqlvtCRQpRSj9hh+2xHnp+KJJCd9Q3gVKtHCZE4323LMDelVE9gFTAVWAGM0FrP0lp/UWt9B9APa4RGFvCCUuqeONacNiSQHRQwjDPA15yuQwjbBtp+Ie/nwFBgE7BIa11vnQutdUhr/QTwONbOUE8rpfJiWGtakkB2WMAwXgFedroO0eldAR4KGEaktQOVUlcD1d0QX9dat7SD60+BT4Ac4G/rnONZuzviEaXUBKXUy0qpYqVURCn1d0qpw8Az9uEP28fqlrowlFK3KKU+VEqVKaWuKKXWK6WWtPB15CmlfqyU2quUKldKXbCf8zWllCObd0ggJ4evA6VOFyE6tW+3Y0beHVjZsUtrvamlA7W1A8bv7E+bCscbsFrZU7C6PpZi/XL4E7DGPuYg8Ns6H6ubOM9fAcuAbKyFvPYCM4HXlFL3NjxYKTUC2Ap8G+gOvAl8DEzAav2/q5TKbOlriwcJ5CQQMIxS4EFkWrVwxlLat3HpVPt2YxuPrw7ta5toeT4K/BcwUmv9gNZ6sdb611rrfwB+Yx+zWmv9SJ2P39DYt4HbtdYz7X7sKcC/YHWX/HsTxz8PDML663SY1voLdt/3GGA/cDPwvTZ+fTEjgZwkAoaxDFnERSTeUeDBdu6T19u+LWnj8dXHuYCeDR7bC/yr1jraxsjPtNZLG9z3H0AZMEIpNbj6TqXUHGA61ozZx+p2uWitjwF/Z3/6daVUQvfDlEBOLt9DdvQViVMJ3BswjNNxfp2WdmV9XWvdar91G7zV8A6tdRVwyP70qjoPzbNv39Ran23iee8CRUA3av8aSAgJ5CQSMAwT+BJw0ulaRKfwzYBhtNgH3IzqAO/bxuOrJ4eYQMMAPNKB12/K0Wbuv2Df1m3pDrBvW9oBpTrIB7RwTMxJICeZgGGcAh7A2sNMiHh5OmAYv+7gc7fYt9e18fgZ9u0OrXXD93V5B2toqD1dHtUt9pa6aVpq1ceNBHISChjGKto4W0qIDtiKNbKno97CCsCxSqnpLR2olFLAQ/anb0bxmrF03L4d3sIxw+zbE3GupR4J5CQVMIxfYV2UECKWjgJLAobR0tjhFmmtC7GGpQH8vJULX98ExmNdQPt5O1+qyr6N9Zjglfbt55RSuQ0fVErdBvTHWg96S8PH40kCObl9B3jB6SJE2jgLLAwYRixafV/HCvfpwDsNF/dRSnmVUv8XKMDqGnhUa93eZQKq6xwbXan1aa1XYQ3F64b1C6VmvLFSagDw3/an/9PKpJeYk0BOYvZQpEewBqwLEY0KrJbxnlicTGt9GpgDbAcWAIVKqTVKqeeVUm8CxcATWH3Ef6G1fqkDL7PePs8Ue/W43yqlfqOU+nIMvoQvYXVdfBE4pJR60a57H9ZY5A+RcciiIXupzruAmPxHEp1SBHggYBhrWj2yHbTWR4FpWJOa3sXqd70XmI213vePsBYd6tCqhlrrSmAh8LZ97r/EmpE3r6XntfHchcBk4D+xuibuBOYDu7CmeC+yXz+hlDWzUSS7oN8/EGtq6dUOlyJSz2MBw3jS6SJE66SFnCIChnEc6zd4ocOliNTyLQnj1CEt5BRjt5SXAyOcrkUkNQ38jYRxapFATkFBv38A9qLgDpcikpMJPBowjGdaPVIkFemySEH2sKX5WKtSCVFXBHhYwjg1SSCnKDuUr8fav0wIsBYL+mLAMP7gdCGiYySQU5i9BdRNyI4jwtrg4MaAYch7IYVJIKc4ewrs/VjjKUXntAeYGTAM+WspxclFvTQS9Pv/BvgZ4Ha6FpEwH2CtaVzmdCEietJCTiMBw/glsIja9WpFevs1sEjCOH1ICzkNBf3+wVj9yjNaO1akpEvA1wKG8XunCxGxJS3kNBQwjKNYC7/81OlaRMztAKZJGKcnaSGnuaDffxfwNNBo3VeRcn4JPB7NWsYiuUkgdwL2dOv/xVo5S6Sec8BfBwzjT60eKVKaBHInEvT7HwYMpLWcSl4GvhEwjBKnCxHxJ4HcyQT9/n5Yf/re5XQtokUnsC7cveF0ISJxJJA7qaDffz/WRb8+rR0rEkoDvwK+EzCMC60dLNKLBHInFvT7uwEB4O+AljaqFImxEeuiXUx39hCpQwJZEPT7h2Dtf/aA07V0UoewfjG+ZO+jKDopCWRRI+j3z8LaJfg6p2vpJM4CPwB+ETCMqtYOFulPAlk0EvT778Bqsc1yupY0dRH4OfDjgGGcd7oYkTwkkEWzgn7/fOCfgJsdLiVdnAF+AvxMglg0RQJZtCro90/HajEvQabbd0Qh1vjvZwOGccXpYkTykkAWbWZf/HsU+ApwlcPlJLsIsBRrhuSbAcMwHa5HpAAJZNFuQb/fDSwG/hprOrasv1zrANbaIb8NGEaR08WI1CKBLKJir5PxF8DngemAcrYiR5wDXgOeCRjGKqeLEalLAlnEjB3Od2OF8xzSu+V8GHjd/lgVMIyws+WIdCCBLOIi6PfnAXcAC4B5wBBnK4paJbAJWAa8HjCMTxyuR6QhCWSREEG/fyhWMM+3b4c5WU8bnAfWAquA1cCmgGFUOluSSHcSyMIRQb+/JzDB/pho344HshNcShhrWNpuYJd9+wmwW6Yxi0STQBZJI+j3K2AwMNS+HYw1vK6//dETyKrz0dyCSGGgAqub4TJQbH8U1fkoBg4C+wOGEYrLFyREO0kgi5RlB3gW4MMK4UqgUsb8ilQlgSyEEElCpsEKIUSSkEAWQogkIYEshBBJQgJZCCGShASyEEIkCQlkIYRIEhLIQgiRJCSQhRAiSUggCyFEkpBAFkKIJCGBLIQQSUICWQghkoQEshBCJAkJZCGESBISyEIIkSQkkIUQIklIIAshRJKQQBZCiCQhgSyEEElCAlkIIZLE/wfhpD59Z9fLywAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(anion_stats)\n", - "colours = [\"#991D1D\", \"#8D6608\", \"#857070\"]\n", - "matplotlib.rcParams.update({\"font.size\": 22})\n", - "plt.pie(\n", - " anion_stats[0],\n", - " labels=[\"Hex\", \"Cubic\", \"Ortho\"],\n", - " startangle=90,\n", - " autopct=\"%1.1f%%\",\n", - " colors=colours,\n", - ")\n", - "plt.axis(\"equal\")\n", - "plt.savefig(\"Form-perovskites.png\")\n", - "\n", - "print(\n", - " \"Number of possible charge neutral perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(charge_balanced),\n", - ")\n", - "print(\n", - " \"Number of Pauling sensible perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(pauling_perov),\n", - ")\n", - "print(\n", - " \"Number of possible cubic perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_cubic),\n", - ")\n", - "print(\n", - " \"Number of possible ortho perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_ortho),\n", - ")\n", - "print(\n", - " \"Number of possible hexagonal perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(a_too_large),\n", - ")\n", - "print(\n", - " \"Number of possible non-perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(A_B_similar),\n", - ")\n", - "\n", - "\n", - "# print goldschmidt_cubic\n", - "print(\"----------------------------------------------------------------\")\n", - "print(\"Structures identified with cubic tolerance factor 0.9 < t < 1.0 \")\n", - "print(\"----------------------------------------------------------------\")\n", - "for structure in goldschmidt_cubic:\n", - " print(structure[0], structure[1], \"(HCOO)3\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___\n", - "### Approach 2" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Get list of Element objects\n", - "search = [\n", - " el for el in smact.ordered_elements(3, 87) if Element(el).oxidation_states\n", - "]\n", - "\n", - "# Covert to list of Species objects\n", - "all_species = []\n", - "for el in search:\n", - " for oxi_state in Element(el).oxidation_states:\n", - " all_species.append(Species(el, oxi_state, \"6_n\"))\n", - "\n", - "# Define lists of interest\n", - "A_list = [\n", - " sp for sp in all_species if (sp.oxidation == -1) and (sp.ionic_radius)\n", - "]\n", - "B_list = [\n", - " sp for sp in all_species if (4 <= sp.oxidation <= 5) and (sp.ionic_radius)\n", - "]\n", - "C_list = [Species(\"F\", -1, 4.47)]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# We define the different categories of list we will populate\n", - "charge_balanced = []\n", - "goldschmidt_cubic = []\n", - "goldschmidt_ortho = []\n", - "a_too_large = []\n", - "A_B_similar = []\n", - "pauling_perov = []\n", - "anion_stats = []\n", - "\n", - "for combo in product(A_list, B_list, C_list):\n", - " A, B, C = combo[0], combo[1], combo[2]\n", - " # Check for charge neutrality in 1:1:3 ratio\n", - " if (1, 1, 3) in screening.neutral_ratios(\n", - " [A.oxidation, B.oxidation, C.oxidation]\n", - " )[1]:\n", - " charge_balanced.append(combo)\n", - " # Check for pauling test\n", - " if screening.pauling_test(\n", - " [A.oxidation, B.oxidation, C.oxidation],\n", - " [A.pauling_eneg, B.pauling_eneg, C.pauling_eneg],\n", - " ):\n", - " pauling_perov.append(combo)\n", - " # Calculate tolerance factor\n", - " tol = (float(A.ionic_radius) + 4.47) / (\n", - " np.sqrt(2) * (float(B.ionic_radius) + 4.47)\n", - " )\n", - " if tol > 1.0:\n", - " a_too_large.append(combo)\n", - " if tol > 0.9 and tol <= 1.0:\n", - " goldschmidt_cubic.append([combo])\n", - " if tol >= 0.71 and tol < 0.9:\n", - " goldschmidt_ortho.append(combo)\n", - " if tol < 0.71:\n", - " A_B_similar.append(combo)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of possible charge neutral perovskites from Li to Fr = 132\n", - "Number of Pauling senseibe perovskites from Li to Fr = 132\n", - "Number of possible cubic perovskites from Li to Fr = 40\n", - "Number of possible ortho perovskites from Li to Fr = 91\n", - "Number of possible hexagonal perovskites from Li to Fr = 1\n", - "Number of possible non-perovskites from Li to Fr = 0\n", - "----------------------------------------------------------------\n", - "Structures identified with cubic tolerance factor 0.9 < t < 1.0 \n", - "----------------------------------------------------------------\n", - "Cl C (HCOO)3\n", - "Cl Si (HCOO)3\n", - "Cl S (HCOO)3\n", - "Br C (HCOO)3\n", - "Br Si (HCOO)3\n", - "Br S (HCOO)3\n", - "Br V (HCOO)3\n", - "Br Cr (HCOO)3\n", - "Br Mn (HCOO)3\n", - "Br Co (HCOO)3\n", - "Br Ni (HCOO)3\n", - "Br Ge (HCOO)3\n", - "Br Se (HCOO)3\n", - "I Si (HCOO)3\n", - "I S (HCOO)3\n", - "I Ti (HCOO)3\n", - "I V (HCOO)3\n", - "I Cr (HCOO)3\n", - "I Mn (HCOO)3\n", - "I Fe (HCOO)3\n", - "I Co (HCOO)3\n", - "I Ni (HCOO)3\n", - "I Ge (HCOO)3\n", - "I Se (HCOO)3\n", - "I Zr (HCOO)3\n", - "I Nb (HCOO)3\n", - "I Mo (HCOO)3\n", - "I Tc (HCOO)3\n", - "I Ru (HCOO)3\n", - "I Rh (HCOO)3\n", - "I Pd (HCOO)3\n", - "I Sn (HCOO)3\n", - "I Tb (HCOO)3\n", - "I Hf (HCOO)3\n", - "I Ta (HCOO)3\n", - "I W (HCOO)3\n", - "I Re (HCOO)3\n", - "I Os (HCOO)3\n", - "I Ir (HCOO)3\n", - "I Pt (HCOO)3\n" - ] - } - ], - "source": [ - "print(\n", - " \"Number of possible charge neutral perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(charge_balanced),\n", - ")\n", - "print(\n", - " \"Number of Pauling sensible perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(pauling_perov),\n", - ")\n", - "print(\n", - " \"Number of possible cubic perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_cubic),\n", - ")\n", - "print(\n", - " \"Number of possible ortho perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_ortho),\n", - ")\n", - "print(\n", - " \"Number of possible hexagonal perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(a_too_large),\n", - ")\n", - "print(\n", - " \"Number of possible non-perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(A_B_similar),\n", - ")\n", - "\n", - "\n", - "# print goldschmidt_cubic\n", - "print(\"----------------------------------------------------------------\")\n", - "print(\"Structures identified with cubic tolerance factor 0.9 < t < 1.0 \")\n", - "print(\"----------------------------------------------------------------\")\n", - "for structure in goldschmidt_cubic:\n", - " print(structure[0][0].symbol, structure[0][1].symbol, \"(HCOO)3\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Inverse_perovskites/Perovskite.jpg b/examples/Inverse_perovskites/Perovskite.jpg deleted file mode 100644 index 086db869..00000000 Binary files a/examples/Inverse_perovskites/Perovskite.jpg and /dev/null differ diff --git a/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif b/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif deleted file mode 100644 index ac3953e9..00000000 --- a/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif +++ /dev/null @@ -1,52 +0,0 @@ -# generated using pymatgen -data_CsPbI3 -_symmetry_space_group_name_H-M 'P 1' -_cell_length_a 4.84714164 -_cell_length_b 10.65044663 -_cell_length_c 18.03119927 -_cell_angle_alpha 90.00000000 -_cell_angle_beta 90.00000000 -_cell_angle_gamma 90.00000000 -_symmetry_Int_Tables_number 1 -_chemical_formula_structural CsPbI3 -_chemical_formula_sum 'Cs4 Pb4 I12' -_cell_volume 930.84665829 -_cell_formula_units_Z 4 -loop_ - _symmetry_equiv_pos_site_id - _symmetry_equiv_pos_as_xyz - 1 'x, y, z' -loop_ - _atom_type_symbol - _atom_type_oxidation_number - Cs+ 1.0 - Pb2+ 2.0 - I- -1.0 -loop_ - _atom_site_type_symbol - _atom_site_label - _atom_site_symmetry_multiplicity - _atom_site_fract_x - _atom_site_fract_y - _atom_site_fract_z - _atom_site_occupancy - Cs+ Cs0 1 0.75000000 0.58127558 0.17211973 1.0 - Cs+ Cs1 1 0.25000000 0.41872442 0.82788027 1.0 - Cs+ Cs2 1 0.75000000 0.08127558 0.32788027 1.0 - Cs+ Cs3 1 0.25000000 0.91872442 0.67211973 1.0 - Pb2+ Pb4 1 0.25000000 0.66184885 0.43921676 1.0 - Pb2+ Pb5 1 0.75000000 0.33815115 0.56078324 1.0 - Pb2+ Pb6 1 0.25000000 0.16184885 0.06078324 1.0 - Pb2+ Pb7 1 0.75000000 0.83815115 0.93921676 1.0 - I- I8 1 0.75000000 0.83721116 0.50204455 1.0 - I- I9 1 0.25000000 0.16278884 0.49795545 1.0 - I- I10 1 0.75000000 0.33721116 0.99795545 1.0 - I- I11 1 0.25000000 0.66278884 0.00204455 1.0 - I- I12 1 0.25000000 0.52927197 0.61230824 1.0 - I- I13 1 0.75000000 0.47072803 0.38769176 1.0 - I- I14 1 0.25000000 0.02927197 0.88769176 1.0 - I- I15 1 0.75000000 0.97072803 0.11230824 1.0 - I- I16 1 0.25000000 0.79631664 0.28730552 1.0 - I- I17 1 0.75000000 0.20368336 0.71269448 1.0 - I- I18 1 0.25000000 0.29631664 0.21269448 1.0 - I- I19 1 0.75000000 0.70368336 0.78730552 1.0 diff --git a/examples/Practical_tutorial/Combinations_practical.ipynb b/examples/Practical_tutorial/Combinations_practical.ipynb deleted file mode 100644 index 482fe67b..00000000 --- a/examples/Practical_tutorial/Combinations_practical.ipynb +++ /dev/null @@ -1,399 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# The Combinatorial Explosion\n", - "---\n", - "\n", - "***\"During the past century, science has developed a limited capability to design materials, but we are still too dependent on serendipity\"*** - [Eberhart and Clougherty, Looking for design in materials design (2004)](http://www.nature.com/nmat/journal/v3/n10/abs/nmat1229.html)\n", - "\n", - "This practical explores how materials design can be approached by using the simplest of rules in order to narrow down the combinations to those that might be considered legitimate. It will demonstrate the scale of the problem, even after some chemical rules are applied.\n", - "\n", - "\n", - "#### TASKS\n", - "- Section 1: 1 task\n", - "- Section 2 i: 2 tasks\n", - "- Section 2 ii: 2 tasks\n", - "- Section 2 iii: 2 tasks\n", - "- Section 2 iv: 3 tasks\n", - "- Section 3 & 4: information only\n", - "\n", - "#### NOTES ON USING THE NOTEBOOK\n", - "- This notebook is divided into \"cells\" which either contain Markdown (text, equations and images) or Python code\n", - "- A cell can be \"run\" by selecting it and either\n", - " - pressing the Run button in the toolbar above (triangle/arrow symbol)\n", - " - Using Cell > Run in the menu above\n", - " - Holding the Ctrl key and pressing Enter\n", - "- Running Markdown cells just displays them nicely (like this text!) Running Python code cells runs the code and displays any output below.\n", - "- When you run a cell and it appears to not be doing anything, if there is no number in the square brackets and instead you see ```In [*] ``` it is still running!\n", - "- If the output produces a lot of lines, you can minimise the output box by clicking on the white space to the left of it.\n", - "- You can clear the output of a cell or all cells by going to Cell > Current output/All output > Clear. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Back to basics: Forget your chemistry\n", - "(From the blog of Anubhav Jain: [www.hackingmaterials.com](http://www.hackingmaterials.com))\n", - "\n", - "1. You have the first 50 elements of the periodic table\n", - "2. You also have a 10 x 10 x 10 grid \n", - "3. You are allowed to arrange 30 of the elements at a time in some combination in the grid to make a 'compound'\n", - "4. How many different arrangements (different compounds) could you make?\n", - "\n", - "\n", - "\n", - "The answer is about $10^{108}$, *over a googol of compounds!*\n", - "\n", - "**TASK: Use the cell below to arrive at the conclusion above. Hints for the formula required are below the cell.**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from math import factorial as factorial\n", - "\n", - "grid_points = 1000.0\n", - "atoms = 30.0\n", - "elements = 50.0\n", - "\n", - "##########\n", - "\n", - "# A. Show that assigning each of the 30 atoms as one of 50 elements is ~ 9e50 (permutations)\n", - "\n", - "element_assignment = 0\n", - "\n", - "print(f\"Number of possible element assignments is: {element_assignment}\")\n", - "\n", - "# B. Show that the number of possible arrangements of 30 atoms on a grid of 10x10x10 is ~2e57 (combinations)\n", - "\n", - "atom_arrangements = 0\n", - "\n", - "print(f\"Number of atom arrangements is: {atom_arrangements}\")\n", - "\n", - "# C. Finally, show that the total number of potential \"materials\" is ~ 2e108\n", - "\n", - "total_materials = 0\n", - "\n", - "print(f'Total number of \"materials\" is: {total_materials}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Counting combinations: Remember your chemistry\n", - "\n", - "We will use well-known elemental properties along with the criterion that compounds must not have an overall charge in order to sequentially apply different levels of screening and count the possible combinations:\n", - "\n", - "i. Setting up the search space - Defining which elements we want to include \n", - "\n", - "ii. Element combination counting - Considering combinations of elements and ignore oxidation states\n", - "\n", - "iii. Ion combination counting - Considering combinations of elements in their allowed oxidation states\n", - "\n", - "iv. Charge neutrality - Discarding any combinations that would not make a charge neutral compound\n", - "\n", - "v. Electronegativity - Discarding any combinations which exhibit a cation which is more electronegative than an anion\n", - "\n", - "### i. Setting up and choosing the search-space\n", - "\n", - "The code below imports the element data that we need in order to do our counting. The main variable in the cell below for this practical is the ```max_atomic_number``` which dictates how many elements to consider. \n", - "\n", - "For example, when ```max_atomic_number = 10``` the elements from H to Ne are considered in the search.\n", - "\n", - "- ** TASK 1: Change the variable ```max_atomic_number``` so that it includes elements from H to Ar **\n", - "- ** TASK 2: Get the code to print out the actual list of elements that will be considered ** " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports the SMACT toolkit for later on #\n", - "import smact\n", - "\n", - "# Gets element data from file and puts into a list #\n", - "with open(\"Counting/element_data.txt\") as f:\n", - " data = f.readlines()\n", - "\n", - "list_of_elements = []\n", - "\n", - "# Specify the range of elements to include #\n", - "\n", - "### EDIT BELOW ###\n", - "max_atomic_number = 10\n", - "##################\n", - "\n", - "# Populates a list with the elements we are concerned with #\n", - "for line in data:\n", - " if not line.startswith(\"#\"):\n", - " # Grab first three items from table row\n", - " symbol, name, Z = line.split()[:3]\n", - " if int(Z) > 0 and int(Z) < max_atomic_number + 1:\n", - " list_of_elements.append(symbol)\n", - "\n", - "print(\n", - " f\"--- Considering the {len(list_of_elements)} elements \"\n", - " f\"from {list_of_elements[0]} to {list_of_elements[-1]} ---\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### ii. Element combination counting\n", - "\n", - "This first procedure simply counts how many binary combinations are possible for a given set of elements. This is a numerical (combinations) problem, as we are not considering element properties in any way for the time being.\n", - "\n", - "- **TASK 1: Increase the number of elements to consider (max_atomic_number in the cell above) to see how this affects the number of combinations**\n", - "- **TASK 2: If you can, add another for statement (e.g. ```for k, ele_c...```) to make the cell count up ternary combinations. It is advisable to change the number of elements to include back to 10 first! Hint: The next exercise is set up for ternary counting so you could come back and do this after looking at that.**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Counts up possibilities and prints the output #\n", - "element_count = 0\n", - "for i, ele_a in enumerate(list_of_elements):\n", - " for j, ele_b in enumerate(list_of_elements[i + 1 :]):\n", - " element_count += 1\n", - " print(f\"{ele_a} {ele_b}\")\n", - "\n", - "# Prints the total number of combinations found\n", - "print(f\"Number of combinations = {element_count}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### iii. Ion combination counting\n", - "\n", - "We now consider each known oxidation state of an element (so strictly speaking we are not dealing with 'ions'). The procedure incorporates a library of known oxidation states for each element and is this time already set up to search for ternary combinations. The code prints out the combination of elements including their oxidation states. There is also a timer so that you can see how long it takes to run the program. \n", - "\n", - "- ** TASK 1: Reset the search space to ~10 elements, read through (feel free to ask if you don't understand any parts!) and run the code below. **\n", - "- ** TASK 2: change ```max_atomic_number``` again in the cell above and see how this affects the number of combinations. Hint: It is advisable to increase the search-space gradually and see how long the calculation takes. Big numbers mean you could be waiting a while for the calculation to run....**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "# Sets up the timer to see how long the program takes to run #\n", - "import time\n", - "\n", - "start_time = time.time()\n", - "\n", - "ion_count = 0\n", - "for i, ele_a in enumerate(list_of_elements):\n", - " for ox_a in smact.Element(ele_a).oxidation_states:\n", - " for j, ele_b in enumerate(list_of_elements[i + 1 :]):\n", - " for ox_b in smact.Element(ele_b).oxidation_states:\n", - " for k, ele_c in enumerate(list_of_elements[i + j + 2 :]):\n", - " for ox_c in smact.Element(ele_c).oxidation_states:\n", - " ion_count += 1\n", - "\n", - " print(\n", - " f\"{ele_a} {ox_a} \\t {ele_b} {ox_b} \\t {ele_c} {ox_c}\"\n", - " )\n", - "\n", - "# Prints the total number of combinations found and the time taken to run.\n", - "print(f\"Number of combinations = {ion_count}\")\n", - "print(f\"--- {time.time() - start_time} seconds to run ---\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All we seem to have done is make matters worse! \n", - "\n", - "We are introducing many more species by further splitting each element in our search-space into separate ions, one for each allowed oxidation state. When we get to max_atomic_number > 20, we are including the transition metals and their many oxidation states. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### iv. Charge neutrality\n", - "\n", - "The previous step is necessary to incorporate our filter that viable compounds must be charge neutral overall. Scrolling through the output from above, it is easy to see that the vast majority of the combinations are not charge neutral overall. We can discard these combinations to start narrowing our search down to more 'sensible' (or at least not totally unreasonable) ones. In this cell, we will use the `neutral_ratios` function in smact to do this.\n", - "\n", - "- ** TASK 1: Reset the search space to ~10 elements, read through (feel free to ask if you don't understand any parts!) and run the code below. **\n", - "- ** TASK 2: Edit the code so that it also prints out the oxidation state next to each element **\n", - "- ** TASK 3: Increase the number of elements to consider again (```max_atomic_number``` in the cell above) and compare the output of i. and ii. with that of the below cell**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import time\n", - "\n", - "from smact import neutral_ratios\n", - "\n", - "start_time = time.time()\n", - "\n", - "charge_neutral_count = 0\n", - "for i, ele_a in enumerate(list_of_elements):\n", - " for ox_a in smact.Element(ele_a).oxidation_states:\n", - " for j, ele_b in enumerate(list_of_elements[i + 1 :]):\n", - " for ox_b in smact.Element(ele_b).oxidation_states:\n", - " for k, ele_c in enumerate(list_of_elements[i + j + 2 :]):\n", - " for ox_c in smact.Element(ele_c).oxidation_states:\n", - " # Checks if the combination is charge neutral before printing it out! #\n", - " cn_e, cn_r = neutral_ratios(\n", - " [ox_a, ox_b, ox_c], threshold=1\n", - " )\n", - " if cn_e:\n", - " charge_neutral_count += 1\n", - " print(f\"{ele_a} \\t {ele_b} \\t {ele_c}\")\n", - "\n", - "print(f\"Number of combinations = {charge_neutral_count}\")\n", - "print(f\"--- {time.time() - start_time} seconds to run ---\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This drastically reduces the number of combinations we get out and we can even begin to see some compounds that we recognise and know exist.\n", - "\n", - "### v. Electronegativity\n", - "\n", - "The last step is to incorporate the key chemical property of electronegativity, i.e. the propensity of an element to attract electron density to itself in a bond. This is a logical step as inspection of the output from above reveals that some combinations feature a species in a higher (more positive) oxidation state which is more elecronegative than other species present.\n", - "\n", - "With this in mind, we now incorporate another filter which checks that the species with higher oxidation states have lower electronegativities. The library of values used is of the widely accepted electronegativity scale as developed by Linus Pauling. The scale is based on the dissociation energies of heteronuclear diatomic molecules and their corresponding homonuclear diatomic molecules:\n", - "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import time\n", - "\n", - "from smact.screening import pauling_test\n", - "\n", - "start_time = time.time()\n", - "\n", - "pauling_count = 0\n", - "for i, ele_a in enumerate(list_of_elements):\n", - " paul_a = smact.Element(ele_a).pauling_eneg\n", - " for ox_a in smact.Element(ele_a).oxidation_states:\n", - " for j, ele_b in enumerate(list_of_elements[i + 1 :]):\n", - " paul_b = smact.Element(ele_b).pauling_eneg\n", - " for ox_b in smact.Element(ele_b).oxidation_states:\n", - " for k, ele_c in enumerate(list_of_elements[i + j + 2 :]):\n", - " paul_c = smact.Element(ele_c).pauling_eneg\n", - " for ox_c in smact.Element(ele_c).oxidation_states:\n", - " # Puts elements, oxidation states and electronegativites into lists for convenience #\n", - " elements = [ele_a, ele_b, ele_c]\n", - " oxidation_states = [ox_a, ox_b, ox_c]\n", - " pauling_electro = [paul_a, paul_b, paul_c]\n", - "\n", - " # Checks if the electronegativity makes sense and if the combination is charge neutral #\n", - " electroneg_makes_sense = pauling_test(\n", - " oxidation_states, pauling_electro, elements\n", - " )\n", - " cn_e, cn_r = smact.neutral_ratios(\n", - " [ox_a, ox_b, ox_c], threshold=1\n", - " )\n", - " if cn_e:\n", - " if electroneg_makes_sense:\n", - " pauling_count += 1\n", - " print(\n", - " f\"{ele_a}{ox_a} \\t {ele_b}{ox_b} \\t {ele_c}{ox_c}\"\n", - " )\n", - "\n", - "print(f\"Number of combinations = {pauling_count}\")\n", - "print(f\"--- {time.time() - start_time} seconds to run ---\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Speedy calculations \n", - "\n", - "For a given search-space of elements, the number of combinations in the output has decreased each time we've applied a filter. However, the time taken to carry out the calculation has increased. This highlights a fundamental trade-off, however there are some clever coding techniqes that can be used to considerably speed things up. \n", - "\n", - "By employing multi-threading and reworking the above code to reduce the number of times it has to look up element properties from other files, the time taken to carry out the ternary count including checks for charge neutrality and electronegativity for 103 elements was reduced from ~ 1 hour to just 26 seconds (carried out on the same workstation)!\n", - "\n", - "Furthermore, a quaternary count for 103 atoms took only 2 hours. This was reducecd to 40 minutes using a 16-core workstation. The code used to carry out these calculations is available in the examples folder of the [main smact repository.](http://www.github.com/WMD-group/SMACT)\n", - "\n", - "N.B. For the numbers quoted above, the stoichiometry of each site was also allowed to vary between 1 and 8 which significantly increases the number of combinations (see below). " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4. Some technicalities...\n", - "\n", - "**A note on multiplicity:** In this exercise, we have not considered higher multiplicies (stoichiometries) in our combinations at all, i.e. we have considered only AB, ABC (and ABCD for quaternary) type combinations. When extended to AxByCz... where x,y,z > 1, the numbers involved get considerably larger still. This can be adjusted by setting `threshold` in the `charge neutrality` function to > 1 in the cells above. The threshold defines the maximum values of x,y,z... . If this is changed, the sum of the oxidation states printed will not always sum to zero, however some multiples (between 1 and `threshold`) of them always will. \n", - "\n", - "\n", - "** Finally, some wisdom from our friend, Linus: **\n", - "\n", - "" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/examples/Practical_tutorial/Counting/element_data.txt b/examples/Practical_tutorial/Counting/element_data.txt deleted file mode 100644 index 519a41b6..00000000 --- a/examples/Practical_tutorial/Counting/element_data.txt +++ /dev/null @@ -1,159 +0,0 @@ -############################################################################### -# # -# element_data.txt -- This data file is part of SMACT # -# # -############################################################################### -# # -# This table provides elemental properties which are accessed by the Element # -# class. For efficiency the contents are cached in memory the first time they # -# are accessed by smact.data_loader. # -# # -# Symbol: Standard chemical symbol used as index throughout SMACT # -# # -# Name: Standard chemical name of element # -# # -# Z: Proton number # -# # -# Mass: Relative atomic mass in atomic mass units (i.e. 1/12 * mass of C-12)# -# Values obtained from NIST Standard Reference Database 144 # -# (J. S. Coursey, D. J. Schwab, J. J. Tsai, NIST Physical Measurement # -# Laboratory) in 2016. Where the relative abundance of isotopes is # -# unknown or a range of values is provided, a simple mean was taken. # -# # -# r_cov: Covalent radius in Angstroms # -# Ref: Cordero et al. (2008) DOI:10.1039/B801115J # -# # -# e_affinity: Electron affinity in eV. NIST-recommended values. # -# Note that unspecified negative values (originally reported as '<0') # -# are listed as 'None' in this table. Electron affinities of elements # -# Fr (Z=87) and above are unknown, and also listed as 'None'. # -# Ref: Andersen et al. (1999) DOI: 10.1063/1.556047 # -# # -# p_eig: Highest occupied p-state eigenvalue in eV. Based on approximate # -# Hartree-Fock calculations published by Herman & Skillman (1963); # -# the relevant values were tabulated and converted to eV by Harrison # -# (1980). Harrison's values are used here. # -# # -# s_eig: Highest occupied s-state eigenvalue in eV. The source is the same # -# as for p_states. # -# # -# Abundance: Crustal abundance in mg/kg. # -# Ref: CRC Handbook of Chemistry and Physics, 92nd Ed. (2011) # -# # -# el_neg: Pauling electronegativity # -# Ref: CRC Handbook of Chemistry and Physics, 92nd Ed. (2011) # -# Elements 95 (Am) and above are assigned the value 1.3 as # -# recommended by Pauling (The Nature of the Chemical Bond, 1939) # -# The value of 3.0 for Krypton was computed by Allen and Huheey (1980)# -# from the bond energy of KrF2. DOI: 10.1016/0022-1902(80)80132-1 # -# # -# ion_pot: Ionisation potential in eV. # -# Ref: NIST Atomic Spectra Database, http://physics.nist.gov/asd # -# [Accessed April 2016] # -# # -############################################################################### -# -#Symbol Name Z Mass r_cov e_affinity p_eig s_eig Abundance el_neg ion_pot -H Hydrogen 1 1.0078250322 0.31 0.75420375 None None 1.40e+03 2.20 13.598434005136 -He Helium 2 4.0026020000 0.28 None None -23.40 8.00e-03 None 24.587387936 -Li Lithium 3 6.9675000000 1.28 0.618049 None -5.48 2.00e+01 0.98 5.391714761 -Be Beryllium 4 9.0121831000 0.96 None -4.14 -8.17 2.80e+00 1.57 9.322699 -B Boron 5 10.8135000000 0.84 0.279723 -6.64 -12.54 1.00e+01 2.04 8.2980190 -C Carbon 6 12.0106000000 0.76 1.262118 -8.97 -17.52 2.00e+02 2.55 11.260300 -N Nitrogen 7 14.0068550000 0.71 -0.07 -11.47 -23.04 1.90e+01 3.04 14.53413 -O Oxygen 8 15.9994000000 0.66 1.461112 -14.13 -29.14 4.61e+05 3.44 13.618054 -F Fluorine 9 18.9984031630 0.57 3.4011887 -16.99 -35.80 5.85e+02 3.98 17.42282 -Ne Neon 10 20.1797000000 0.58 None -20.00 -43.20 5.00e-03 None 21.564540 -Na Sodium 11 22.9897692800 1.66 0.547926 None -5.13 2.36e+04 0.93 5.1390767 -Mg Magnesium 12 24.3055000000 1.41 None -2.99 -6.86 2.33e+04 1.31 7.646235 -Al Aluminium 13 26.9815385000 1.21 0.43283 -4.86 -10.11 8.23e+04 1.61 5.985768 -Si Silicon 14 28.0850000000 1.11 1.389521 -6.52 -13.55 2.82e+05 1.90 8.151683 -P Phosphorus 15 30.9737619980 1.07 0.7465 -8.33 -17.10 1.05e+03 2.19 10.486686 -S Sulfur 16 32.0675000000 1.05 2.0771029 -10.27 -20.80 3.50e+00 2.58 10.36001 -Cl Chlorine 17 35.4515000000 1.02 3.612724 -12.31 -24.63 1.45e+02 3.16 12.96763 -Ar Argon 18 39.9480000000 1.06 None -14.50 -28.70 3.50e+00 None 15.7596112 -K Potassium 19 39.0983000000 2.03 0.501459 None -4.19 2.09e+04 0.82 4.34066354 -Ca Calcium 20 40.0780000000 1.76 0.02455 None -5.41 4.15e+04 1.00 6.11315520 -Sc Scandium 21 44.9559080000 1.70 0.188 None -5.85 2.20e+01 1.36 6.56149 -Ti Titanium 22 47.8670000000 1.60 0.084 None None 5.65e+03 1.54 6.82812 -V Vanadium 23 50.9415000000 1.53 0.525 None None 1.20e+02 1.63 6.746187 -Cr Chromium 24 51.9961000000 1.39 0.67584 None None 1.02e+02 1.66 6.76651 -Mn Manganese 25 54.9380440000 1.39 None None None 9.50e+02 1.55 7.434038 -Fe Iron 26 55.8450000000 1.32 0.151 None None 5.63e+04 1.83 7.9024678 -Co Cobalt 27 58.9331940000 1.26 0.6633 None None 2.50e+01 1.88 7.88101 -Ni Nickel 28 58.6934000000 1.24 1.15716 None None 8.40e+01 1.91 7.639877 -Cu Copper 29 63.5460000000 1.32 1.23578 -6.92 -6.92 6.00e+01 1.90 7.726380 -Zn Zinc 30 65.3800000000 1.22 None -3.38 -8.40 7.00e+01 1.65 9.3941968 -Ga Gallium 31 69.7230000000 1.22 0.41 -4.90 -11.37 1.90e+01 1.81 5.9993018 -Ge Germanium 32 72.6300000000 1.20 1.232712 -6.63 -14.38 1.50e+00 2.01 7.899435 -As Arsenic 33 74.9215950000 1.19 0.814 -7.91 -17.33 1.80e+00 2.18 9.7886 -Se Selenium 34 78.9710000000 1.20 2.02067 -9.53 -20.32 5.00e-02 2.55 9.752392 -Br Bromine 35 79.9040000000 1.20 3.3635880 -11.20 -23.35 2.40e+00 2.96 11.81381 -Kr Krypton 36 83.7980000000 1.16 None -13.00 -26.50 1.00e-04 3.0 13.9996049 -Rb Rubidium 37 85.4678000000 2.20 0.485916 None -3.94 9.00e+01 0.82 4.177128 -Sr Strontium 38 87.6200000000 1.95 0.05206 None -5.00 3.70e+02 0.95 5.69486720 -Y Yttrium 39 88.9058400000 1.90 0.307 None -5.53 3.30e+01 1.22 6.21726 -Zr Zirconium 40 91.2240000000 1.75 0.426 None None 1.65e+02 0.33 6.63390 -Nb Niobium 41 92.9063700000 1.64 0.893 None None 2.20e+02 1.6 6.75885 -Mo Molybdenum 42 95.9500000000 1.54 0.7472 None None 1.20e+00 2.16 7.09243 -Tc Technetium 43 98.0000000000 1.47 0.55 None None None 2.10 7.11938 -Ru Ruthenium 44 101.0700000000 1.46 1.04638 None None None 2.2 7.36050 -Rh Rhodium 45 102.9055000000 1.42 1.14289 None None 1.00e-03 2.28 7.45890 -Pd Palladium 46 106.4200000000 1.39 0.56214 None None 1.50e-02 2.20 8.33686 -Ag Silver 47 107.8682000000 1.45 1.30447 -2.05 -6.41 7.50e-02 1.93 7.576234 -Cd Cadmium 48 112.4140000000 1.44 None -3.38 -7.70 1.50e-01 1.69 8.993820 -In Indium 49 114.8180000000 1.42 0.404 -4.69 -10.12 2.50e-01 1.78 5.7863554 -Sn Tin 50 118.7100000000 1.39 1.112066 -5.94 -12.50 2.30e+00 1.96 7.343917 -Sb Antimony 51 121.7600000000 1.39 1.047401 -7.24 -14.80 2.00e-01 2.05 8.608389 -Te Tellurium 52 127.6000000000 1.38 1.970875 -8.59 -17.11 1.00e-03 2.1 9.00966 -I Iodine 53 126.9044700000 1.39 3.059038 -9.97 -19.42 4.50e-01 2.66 10.45126 -Xe Xenon 54 131.2930000000 1.40 None -11.40 -21.80 3.00e-05 2.60 12.1298431 -Cs Caesium 55 132.9054519600 2.44 0.471626 None -3.56 3.00e+00 0.79 3.893905548 -Ba Barium 56 137.3270000000 2.15 0.14462 None -4.45 4.25e+02 0.89 5.211664 -La Lanthanum 57 138.9054700000 2.07 0.47 None -4.86 3.90e+01 1.10 5.5769 -Ce Cerium 58 140.1160000000 2.04 0.5 None None 6.65e+01 1.12 5.5386 -Pr Praseodymium 59 140.9076600000 2.03 0.5 None None 9.20e+00 1.13 5.473 -Nd Neodymium 60 144.2420000000 2.01 0.5 None None 4.15e+01 1.14 5.5250 -Pm Promethium 61 145.0000000000 1.99 0.5 None None None None 5.582 -Sm Samarium 62 150.3600000000 1.98 0.5 None None 7.05e+00 1.17 5.64371 -Eu Europium 63 151.9640000000 1.98 0.5 None None 2.00e+00 None 5.67040385 -Gd Gadolinium 64 157.2500000000 1.96 0.5 None None 6.20e+00 1.20 6.14980 -Tb Terbium 65 158.9253500000 1.94 0.5 None None 1.20e+00 None 5.8638 -Dy Dysprosium 66 162.5000000000 1.92 0.5 None None 5.20e+00 1.22 5.938905 -Ho Holmium 67 164.9303300000 1.92 0.5 None None 1.30e+00 1.23 6.0215 -Er Erbium 68 167.2590000000 1.89 0.5 None None 3.50e+00 1.24 6.1077 -Tm Thulium 69 168.9342200000 1.90 0.5 None None 5.20e-01 1.25 6.18431 -Yb Ytterbium 70 173.0540000000 1.87 0.5 None None 3.20e+00 None 6.254159 -Lu Lutetium 71 174.9668000000 1.87 0.5 None None 8.00e+01 1.0 5.425871 -Hf Hafnium 72 178.4900000000 1.75 0 None None 3.00e+00 1.3 6.825069 -Ta Tantalum 73 180.9478800000 1.70 0.322 None None 2.00e+00 1.5 7.549571 -W Tungsten 74 183.8400000000 1.62 0.815 None None 1.25e+00 1.7 7.86403 -Re Rhenium 75 186.2070000000 1.51 0.15 None None 7.00e-04 1.9 7.83352 -Os Osmium 76 190.2300000000 1.44 1.0778 None None 1.50e-03 2.2 8.43823 -Ir Iridium 77 192.2170000000 1.41 1.56436 None None 1.00e-03 2.2 8.96702 -Pt Platinum 78 195.0840000000 1.36 2.1251 None None 5.00e-03 2.2 8.95883 -Au Gold 79 196.9665690000 1.36 2.30861 -2.38 -6.48 4.00e-03 2.4 9.225553 -Hg Mercury 80 200.5920000000 1.32 None -3.48 -7.68 8.50e-02 1.9 10.437504 -Tl Thallium 81 204.3835000000 1.45 0.377 -4.61 -9.92 8.50e-01 1.8 6.1082871 -Pb Lead 82 207.2000000000 1.46 0.364 -5.77 -12.07 1.40e+01 1.8 7.416796 -Bi Bismuth 83 208.9804000000 1.48 0.942363 -6.97 -14.15 8.50e-03 1.9 7.285516 -Po Polonium 84 209.0000000000 1.40 1.9 -8.19 -16.21 2.00e-10 2.0 8.414 -At Astatine 85 210.0000000000 1.50 2.8 -9.44 -18.24 None 2.2 9.31751 -Rn Radon 86 222.0000000000 1.50 None None -20.31 None None 10.74850 -Fr Francium 87 223.0000000000 2.60 None None -3.40 None 0.7 4.0727409 -Ra Radium 88 226.0000000000 2.21 None None -4.24 9.00e-07 0.9 5.278424 -Ac Actinium 89 227.0000000000 2.15 None None -4.63 5.50e-10 1.1 5.380226 -Th Thorium 90 232.0377000000 2.06 None -10.71 None 9.60e+00 1.3 6.3067 -Pa Protactinium 91 231.0358800000 2.00 None None None 1.40e-06 1.5 5.89 -U Uranium 92 238.0289100000 1.96 None None None 2.70e+00 1.7 6.19405 -Np Neptunium 93 237.0000000000 1.90 None None None None 1.3 6.2655 -Pu Plutonium 94 244.0000000000 1.87 None None None None 1.3 6.0258 -Am Americium 95 242.0591053000 1.80 None None None None 1.3 5.9738 -Cm Curium 96 245.0654423000 1.69 None None None None 1.3 5.9914 -Bk Berkelium 97 248.0726475000 None None None None None 1.3 6.1978 -Cf Californium 98 250.5781189750 None None None None None 1.3 6.2817 -Es Einsteinium 99 252.0829800000 None None None None None 1.3 6.3676 -Fm Fermium 100 257.0951061000 None None None None None 1.3 6.50 -Md Mendelevium 101 259.1010400000 None None None None None 1.3 6.58 -No Nobelium 102 259.1010300000 None None None None None 1.3 6.65 -Lr Lawrencium 103 262.1096100000 None None None None None None 4.96 diff --git a/examples/Practical_tutorial/ELS_practical.ipynb b/examples/Practical_tutorial/ELS_practical.ipynb deleted file mode 100644 index 00565dba..00000000 --- a/examples/Practical_tutorial/ELS_practical.ipynb +++ /dev/null @@ -1,226 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# The ELS matching procedure\n", - "\n", - "This practical is based on the concepts introduced for optimising electrical contacts in photovoltaic cells. The procedure was published in [J. Mater. Chem. C (2016)]((http://pubs.rsc.org/en/content/articlehtml/2016/tc/c5tc04091d).\n", - "\n", - "\n", - "\n", - "In this practical we screen electrical contact materials for CH3NH3PbI3. There are three main steps:\n", - "* Electronic matching of band energies\n", - "* Lattice matching of surface vectors \n", - "* Site matching of under-coordinated surface atoms" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 1. Electronic matching\n", - "## Background\n", - "\n", - "Effective charge extraction requires a low barrier to electron or hole transport accross an the interface. This barrier is exponential in the discontinuity of the band energies across the interface. To a first approximation the offset or discontinuity can be estimated by comparing the ionisation potentials (IPs) or electron affinities (EAs) of the two materials, this is known as [Anderson's rule](https://en.wikipedia.org/wiki/Anderson%27s_rule).\n", - "\n", - "\n", - "\n", - "Here we have collected a database of 173 measured or estimated semiconductor IPs and EAs (`CollatedData.txt`). We use it as the first step in our screening. The screening is performed by the script `scan_energies.py`. We enforce several criteria:\n", - "\n", - "* The IP and EA of the target material are supplied using the flags `-i` and `-e`\n", - "* The IP/EA must be within a certain range from the target material; by default this is set to 0.5 eV, but it can be contolled by the flag `-w`. The window is the full width so the max offset is 0.5*window\n", - "* A selective contact should be a semiconductor, so we apply a criterion based on its band gap. If the gap is too large we consider that it would be an insulator. By default this is set to 4.0 eV and is controlled by the flag `-g`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%bash\n", - "cd Electronic/\n", - "python scan_energies.py -h" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Now let's do a proper scan\n", - "* IP = 5.7 eV\n", - "* EA = 4.0 eV\n", - "* Window = 0.25 eV\n", - "* Insulating threshold = 4.0 eV" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%bash\n", - "cd Electronic/\n", - "python scan_energies.py -i 5.7 -e 4.0 -w 0.5 -g 4.0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 2. Lattice matching\n", - "## Background\n", - "\n", - "For stable interfaces there should be an integer relation between the lattice constants of the two surfaces in contact, which allows for perfect matching, with minimal strain. Generally a strain value of ~ 3% is considered acceptable, above this the interface will be incoherent.\n", - "\n", - "This section uses the [ASE package](https://wiki.fysik.dtu.dk/ase/) to construct the low index surfaces of the materials identified in the electronic step, as well as those of the target material. The code `LatticeMatch.py` to identify optimal matches.\n", - "\n", - "First we need `.cif` files of the materials obtained from the electronic matching. These are obtained from the [Materials Project website](https://www.materialsproject.org). Most of the `.cif` files are there already, but we should add Cu2O and GaN, just for practice.\n", - "\n", - "## Lattice matching routine\n", - "\n", - "The lattice matching routine involves obtaining reduced cells for each surface and looking for multiples of each side which match. The procedure is described in more detail in [our paper](http://pubs.rsc.org/en/content/articlehtml/2016/tc/c5tc04091d).\n", - "\n", - "\n", - "\n", - "The actual clever stuff of the algorithm comes from a paper from Zur and McGill in [J. Appl. Physics (1984)](http://scitation.aip.org/content/aip/journal/jap/55/2/10.1063/1.333084).\n", - "\n", - "\n", - "\n", - "## The script\n", - "\n", - "The work is done by a python script called `LatticeMatch.py`. As input it reads `.cif` files. It takes a number of flags: \n", - "* `-a` the file containing the crystallographic information of the first material\n", - "* `-b` the file containing the crystallographic information of the second material \n", - "* `-s` the strain threshold above which to cutoff, defaults to 0.05\n", - "* `-l` the maximum number of times to expand either surface to find matching conditions, defaults to 5\n", - "\n", - "We will run the script in a bash loop to iterate over all interfaces of our contact materials with the (100) and (110) surfaces of pseudo-cubic CH3NH3PbI3. Note that I have made all lattice parameters of CH3NH3PbI3 exactly equal, this is to facilitate the removal of duplicate surfaces by the script." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%bash\n", - "cd Lattice/\n", - "for file in *.cif; do python LatticeMatch.py -a MAPI/CH3NH3PbI3.cif -b $file -s 0.03; done" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3. Site matching\n", - "\n", - "So far the interface matching considered only the magnitude of the lattice vectors. It would be nice to be able to include some measure of how well the dangling bonds can passivate one another. We do this by calculating the site overlap. Basically, we determine the undercoordinated surface atoms on each side and project their positions into a 2D plane. \n", - "\n", - "\n", - "\n", - "We then lay the planes over each other and slide them around until there is the maximum coincidence. We calculate the overlap factor from \n", - "\n", - "$$ ASO = \\frac{2S_C}{S_A + S_B}$$\n", - "\n", - "where $S_C$ is the number of overlapping sites in the interface, and $S_A$ and $S_B$ are the number of sites in each surface.\n", - "\n", - "\n", - "\n", - "## The script\n", - "\n", - "This section can be run in a stand-alone script called `csl.py`. It relies on a library of the 2D projections of lattice sites from different surfaces, which is called `surface_points.py`. Currently this contains a number of common materials types, but sometimes must be expanded as new materials are identified from the electronic and lattice steps.\n", - "\n", - "`csl.py` takes the following input parameters:\n", - "* `-a` The first material to consider\n", - "* `-b` The second material to consider\n", - "* `-x` The first materials miller index to consider, format : 001\n", - "* `-y` The second materials miller index to consider, format : 001\n", - "* `-u` The first materials multiplicity, format : 2,2\n", - "* `-v` The second materials multiplicity, format : 2,2\n", - "\n", - "We can run it for one example from the previous step, let's say GaN (010)x(2,5) with CH3NH3PbI3 (110)x(1,3)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%bash\n", - "cd Site/\n", - "python csl.py -a CH3NH3PbI3 -b GaN -x 110 -y 010 -u 1,3 -v 2,5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## All together\n", - "\n", - "The lattice and site examples above give a a feel for what is going on. For a proper screening procedure it would be nice to be able to run them together. That's exactly what happens with the `LatticeSite.py` script. It uses a new class `Pair` to store and pass information about the interface pairings. This includes the materials names, miller indices of matching surfaces, strians, multiplicities etc.\n", - "\n", - "The `LatticeSite.py` script takes the same variables as `LatticeMatch.py`. It just takes a little longer to run, so a bit of patience is required.\n", - "\n", - "This script outputs the standard pair information as well as the site matching factor, which is calculated as\n", - "\n", - "$$ \\frac{100\\times ASO}{1 + |\\epsilon|}$$\n", - "\n", - "where the $ASO$ was defined above, and $\\epsilon$ in the average of the $u$ and $v$ strains. The number is a measure of the mechanical stability of an interface. A perfect interface of a material with itself would have a fator of 100.\n", - "\n", - "Where lattices match but no information on the structure of the surface exists it is flagged up. You can always add new surfaces as required." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%bash\n", - "cd Site/\n", - "for file in *cif; do python LatticeSite.py -a MAPI/CH3NH3PbI3.cif -b $file -s 0.03; done" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.13 ('smact_tests')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - }, - "vscode": { - "interpreter": { - "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" - } - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/examples/Practical_tutorial/Electronic/CollatedData.txt b/examples/Practical_tutorial/Electronic/CollatedData.txt deleted file mode 100644 index 679591ea..00000000 --- a/examples/Practical_tutorial/Electronic/CollatedData.txt +++ /dev/null @@ -1,174 +0,0 @@ -Species Eg EA IP -SiC 2.36 4.00 6.36 -AlN 6.03 1.90 7.93 -AlP 2.42 2.51 4.93 -AlAs 2.36 1.71 4.07 -AlSb 1.60 3.60 5.20 -BaO 3.99 0.57 4.56 -BaS 3.81 0.84 4.65 -BaSe 3.66 0.95 4.61 -BaTe 3.40 1.43 4.83 -BN 6.20 4.50 10.70 -CaO 6.80 0.70 7.50 -CaS 4.60 1.85 6.45 -CaSe 4.87 2.32 7.19 -CaTe 4.07 3.53 7.60 -CaF2 12.10 -0.30 11.80 -CdO 0.78 5.24 6.02 -CdS 2.42 4.50 6.92 -CdSe 1.74 4.56 6.30 -CdTe 1.44 4.28 5.72 -CsI 6.20 -0.30 5.90 -GaN 3.43 4.10 7.53 -GaP 2.26 4.10 6.36 -GaAs 1.42 4.07 5.49 -GaSb 0.73 4.06 4.79 -InN 0.65 5.80 6.45 -InP 1.34 4.38 5.72 -InAs 0.36 4.90 5.26 -InSb 0.24 4.59 4.83 -KF 10.70 0.00 10.70 -KCl 8.90 0.50 9.40 -KBr 7.40 0.80 8.20 -KI 6.00 1.20 7.20 -LiF 13.60 1.35 14.95 -LiBr 7.60 0.20 7.80 -MgO 7.80 -0.65 7.15 -MgS 4.87 3.15 8.02 -MgSe 4.05 4.50 8.55 -NaF 11.60 1.35 12.95 -NaCl 8.50 0.50 9.00 -NaBr 7.50 0.40 7.90 -PbS 0.40 4.60 5.00 -RbF 10.35 -0.10 10.25 -RbCl 8.20 0.50 8.70 -RbBr 7.40 0.40 7.80 -RbI 6.10 1.20 7.30 -Si3N4 5.30 2.10 7.40 -SnS2 2.10 4.20 6.30 -SnSe2 1.00 4.35 5.35 -SrO 5.20 0.67 5.87 -SrS 4.30 1.35 5.65 -SrSe 4.42 1.77 6.19 -SrTe 3.73 2.40 6.13 -ZnO 3.30 4.20 7.50 -ZnS 3.70 3.80 7.50 -ZnSe 2.82 4.00 6.82 -ZnTe 2.26 3.53 5.79 -HfO2 5.70 2.00 7.70 -ZrO2 5.80 2.60 8.40 -SiO2 9.00 0.90 8.10 -GeO2 5.35 2.93 8.28 -SnO2 3.60 5.30 8.90 -MoO3 2.80 2.20 5.00 -WO3 2.95 3.33 6.28 -Al2O3 8.70 3.72 12.42 -Ga2O3 4.80 3.20 8.00 -In2O3 2.70 4.30 7.00 -La2O3 6.00 2.50 8.50 -Ta2O5 4.50 3.20 7.70 -TiO2 3.05 4.20 7.21 -C 5.48 0.37 5.85 -Si 1.17 3.98 5.15 -Ge 0.74 4.01 4.75 -MnO 3.28 1.80 5.08 -NiO 3.60 1.73 5.33 -Cu2O 2.10 3.56 5.66 -Fe2O3 2.10 4.85 6.95 -SrTiO3 3.20 4.08 7.28 -Zn2TiO4 3.21 3.25 6.46 -Bi2O3 2.77 4.63 7.40 -Sb2O3 3.00 4.17 7.17 -NaNbO3 3.43 3.80 7.23 -KTaO3 3.53 3.80 7.33 -CuI 3.37 2.43 5.80 -CuI 2.18 3.02 5.20 -CuI 4.62 2.28 5.30 -BaTiO3 3.30 4.21 7.51 -CdFe2O4 2.30 4.89 7.19 -CuO 1.70 4.89 6.59 -FeTiO3 2.80 4.56 7.36 -Hg2Nb2O 1.80 5.05 6.85 -Nb2O5 3.40 4.16 7.56 -PbO 2.80 4.46 7.26 -PbFe12O19 2.30 5.20 7.50 -YFeO3 2.60 4.60 7.20 -FeS2 0.95 4.96 5.91 -HfS2 1.13 4.63 5.76 -HgS 2.00 4.74 6.74 -In2S3 2.00 3.69 5.69 -MoS2 1.17 4.43 5.60 -ZrS2 1.82 4.28 6.10 -Ag2O 1.20 4.69 5.89 -AlTiO3 3.60 3.64 7.24 -Ce2O3 2.40 4.00 6.40 -CoO 2.60 4.39 6.99 -CoTiO3 2.25 4.64 6.89 -CuTiO3 2.99 4.32 7.31 -FeO 2.40 4.33 6.73 -Fe3O4 0.10 5.73 5.83 -FeOOH 2.60 5.08 7.68 -HgO 1.90 5.13 7.03 -Hg2Ta2O7 1.80 5.34 7.14 -KNbO3 3.30 3.64 6.94 -LaTi2O7 4.00 3.90 7.90 -LiNbO3 3.50 3.77 7.27 -LiTaO3 4.00 3.55 7.55 -MgTiO3 3.70 3.75 7.45 -MnO2 0.25 5.83 6.08 -MnTiO3 3.10 4.04 7.14 -Nd2O3 4.70 2.87 7.57 -NiTiO3 2.18 4.70 6.88 -PdO 1.00 5.29 6.29 -Pr2O3 3.90 3.24 7.14 -Sm2O3 4.40 3.07 7.47 -SnO 4.20 3.59 7.79 -Tb2O3 3.80 3.44 7.24 -Tl2O3 1.60 4.55 6.15 -Yb2O3 4.90 3.02 7.92 -ZnTiO3 3.06 4.27 7.33 -Ag2S 0.92 4.50 5.42 -AgAsS2 1.95 4.51 6.46 -AgSbS2 1.72 4.51 6.23 -As2S3 2.50 4.58 7.08 -Ce2S3 2.10 3.59 5.69 -CoS 0.00 5.17 5.17 -CoS2 0.00 5.49 5.49 -CoAsS 0.50 4.96 5.46 -CuS 0.00 5.27 5.27 -Cu2S 1.10 4.44 5.54 -CuS2 0.00 5.57 5.57 -Cu3AsS4 1.28 4.75 6.03 -CuFeS2 0.35 4.97 5.32 -Cu5FeS4 1.00 4.55 5.55 -CuInS2 1.50 4.06 5.56 -CuIn5S8 1.26 4.09 5.35 -Dy2S3 2.85 3.36 6.21 -FeS 0.10 4.97 5.07 -Fe3S4 0.00 5.18 5.18 -FeAsS 0.20 5.01 5.21 -Gd2S3 2.55 3.57 6.12 -HgSb4S8 1.68 4.81 6.49 -La2S3 2.91 3.25 6.16 -MnS 3.00 3.31 6.31 -MnS2 0.50 4.99 5.49 -Nd2S3 2.70 3.30 6.00 -NiS 0.40 5.03 5.43 -NiS2 0.30 5.39 5.69 -OsS2 2.00 4.74 6.74 -Pb10Ag3Sb11S28 1.39 4.59 5.98 -Pb2As2S5 1.39 4.71 6.10 -PbCuSbS3 1.23 4.61 5.84 -Pb5Sn3Sb2S14 0.65 4.95 5.60 -PtS2 0.95 5.53 6.48 -Rh2S3 1.50 4.61 6.11 -RuS2 1.38 4.89 6.27 -Sb2S3 1.72 4.72 6.44 -Sm2S3 2.60 3.39 5.99 -SnS 1.01 4.66 5.67 -Tb2S3 2.50 3.51 6.01 -TiS2 0.70 4.76 5.46 -TlAsS2 1.80 4.16 5.96 -WS2 1.35 4.86 6.21 -ZnS2 2.70 4.21 6.91 -Zn3In2S6 2.81 3.59 6.40 diff --git a/examples/Practical_tutorial/Electronic/scan_energies.py b/examples/Practical_tutorial/Electronic/scan_energies.py deleted file mode 100644 index ae7f8f62..00000000 --- a/examples/Practical_tutorial/Electronic/scan_energies.py +++ /dev/null @@ -1,82 +0,0 @@ -from optparse import OptionParser - -parser = OptionParser() -parser.add_option( - "-i", - "--IP", - action="store", - type="float", - dest="IP", - default=5.0, - help="The first material's IP, default 5.0", -) -parser.add_option( - "-e", - "--EA", - action="store", - type="float", - dest="EA", - default=4.0, - help="The first material's EA, default 4.0", -) -parser.add_option( - "-w", - "--window", - action="store", - type="float", - dest="window", - default=1.0, - help="The window around the IP/EA to allow +/- , eq w=1 gives +/- 0.5. Default 1.0", -) -parser.add_option( - "-g", - "--gap", - action="store", - type="float", - dest="gap", - default=4.0, - help="The bandgap above which a layer is considered insulating and disregarded Default 4.0", -) - -(options, args) = parser.parse_args() - - -f = open("CollatedData.txt") -lines = f.readlines() -f.close() - -HTL = [] -ETL = [] -conducting_ETL = [] -conducting_HTL = [] -window = options.window - -for line in lines: - inp = line.split() - if inp[0] != "Species": - Eg = float(inp[1]) - EA = float(inp[2]) - IP = float(inp[3]) - if Eg > 2.0: - if ( - EA >= options.EA - window * 0.5 - and EA <= options.EA + window * 0.5 - ): - ETL.append(inp[0]) - if Eg < options.gap: - conducting_ETL.append(inp[0]) - if IP <= options.IP + window * 0.5 and IP >= options.IP - window * 0.5: - if EA < 3.9: - HTL.append(inp[0]) - if Eg < options.gap: - conducting_HTL.append(inp[0]) - -print("Number of potential electron contacting layers: ", len(conducting_ETL)) -print("Number of potential hole contacting layers: ", len(conducting_HTL)) - -print("Conductive electron contacting layers: ") -print(len(conducting_ETL)) -print(conducting_ETL) -print("Conductive hole contacting layers: ") -print(len(conducting_HTL)) -print(conducting_HTL) diff --git a/examples/Practical_tutorial/Images/ASO.gif b/examples/Practical_tutorial/Images/ASO.gif deleted file mode 100644 index 943185b1..00000000 Binary files a/examples/Practical_tutorial/Images/ASO.gif and /dev/null differ diff --git a/examples/Practical_tutorial/Images/Combinations_vs_Permutations.png b/examples/Practical_tutorial/Images/Combinations_vs_Permutations.png deleted file mode 100644 index 281e56bc..00000000 Binary files a/examples/Practical_tutorial/Images/Combinations_vs_Permutations.png and /dev/null differ diff --git a/examples/Practical_tutorial/Images/ZurMcGill.jpg b/examples/Practical_tutorial/Images/ZurMcGill.jpg deleted file mode 100644 index a29953f6..00000000 Binary files a/examples/Practical_tutorial/Images/ZurMcGill.jpg and /dev/null differ diff --git a/examples/Practical_tutorial/Images/anderson.gif b/examples/Practical_tutorial/Images/anderson.gif deleted file mode 100644 index 0843624f..00000000 Binary files a/examples/Practical_tutorial/Images/anderson.gif and /dev/null differ diff --git a/examples/Practical_tutorial/Images/atomsinbox.png b/examples/Practical_tutorial/Images/atomsinbox.png deleted file mode 100644 index 7c1e70e0..00000000 Binary files a/examples/Practical_tutorial/Images/atomsinbox.png and /dev/null differ diff --git a/examples/Practical_tutorial/Images/binary-graph.tiff b/examples/Practical_tutorial/Images/binary-graph.tiff deleted file mode 100644 index 5a8ec374..00000000 Binary files a/examples/Practical_tutorial/Images/binary-graph.tiff and /dev/null differ diff --git a/examples/Practical_tutorial/Images/forascii.jpg b/examples/Practical_tutorial/Images/forascii.jpg deleted file mode 100644 index 17fcb42d..00000000 Binary files a/examples/Practical_tutorial/Images/forascii.jpg and /dev/null differ diff --git a/examples/Practical_tutorial/Images/lattice_match.gif b/examples/Practical_tutorial/Images/lattice_match.gif deleted file mode 100644 index 99d6f3c2..00000000 Binary files a/examples/Practical_tutorial/Images/lattice_match.gif and /dev/null differ diff --git a/examples/Practical_tutorial/Images/linus-pauling.png b/examples/Practical_tutorial/Images/linus-pauling.png deleted file mode 100644 index fef1d35b..00000000 Binary files a/examples/Practical_tutorial/Images/linus-pauling.png and /dev/null differ diff --git a/examples/Practical_tutorial/Images/pauling-equation.jpg b/examples/Practical_tutorial/Images/pauling-equation.jpg deleted file mode 100644 index 0b1cb9ea..00000000 Binary files a/examples/Practical_tutorial/Images/pauling-equation.jpg and /dev/null differ diff --git a/examples/Practical_tutorial/Images/pauling-equation.png b/examples/Practical_tutorial/Images/pauling-equation.png deleted file mode 100644 index b595fe0d..00000000 Binary files a/examples/Practical_tutorial/Images/pauling-equation.png and /dev/null differ diff --git a/examples/Practical_tutorial/Images/pauling-equation.tiff b/examples/Practical_tutorial/Images/pauling-equation.tiff deleted file mode 100644 index 707cd4a8..00000000 Binary files a/examples/Practical_tutorial/Images/pauling-equation.tiff and /dev/null differ diff --git a/examples/Practical_tutorial/Images/quaternary-graph.tiff b/examples/Practical_tutorial/Images/quaternary-graph.tiff deleted file mode 100644 index 09a77721..00000000 Binary files a/examples/Practical_tutorial/Images/quaternary-graph.tiff and /dev/null differ diff --git a/examples/Practical_tutorial/Images/site_overlap.gif b/examples/Practical_tutorial/Images/site_overlap.gif deleted file mode 100644 index 912afa09..00000000 Binary files a/examples/Practical_tutorial/Images/site_overlap.gif and /dev/null differ diff --git a/examples/Practical_tutorial/Images/ternary-graph.tiff b/examples/Practical_tutorial/Images/ternary-graph.tiff deleted file mode 100644 index c703be5d..00000000 Binary files a/examples/Practical_tutorial/Images/ternary-graph.tiff and /dev/null differ diff --git a/examples/Practical_tutorial/Images/toc.gif b/examples/Practical_tutorial/Images/toc.gif deleted file mode 100644 index 880de944..00000000 Binary files a/examples/Practical_tutorial/Images/toc.gif and /dev/null differ diff --git a/examples/Practical_tutorial/Lattice/LatticeMatch.py b/examples/Practical_tutorial/Lattice/LatticeMatch.py deleted file mode 100644 index 90375c93..00000000 --- a/examples/Practical_tutorial/Lattice/LatticeMatch.py +++ /dev/null @@ -1,380 +0,0 @@ -import glob -import itertools -import math -import re - -# import argparse -from optparse import OptionParser - -import ase.build.surface as surface - -# import smact.core as core -import ase.io as io -import numpy as np - - -# We need a class "pair" which contains the information about a matching interface pair -class Pair: - """Class providing standard nformation on interface matching pairs.""" - - def __init__( - self, - material1, - material2, - surface1, - surface2, - multiplicity1, - multiplicity2, - strains, - ): - """ - Attributes: - Pair.material1 : name of first material - Pair.material2 : name of second material - Pair.surface1 : miller index of surface 1 Format: [1,1,1] - Pair.surface2 : miller index of surface 2 Format: [1,1,1] - Pair.multiplicity1 : multiplicity of u,v in surface1 Format: [1,1] - Pair.multiplicity2 : multiplicity of u,v in surface2 Format: [1,1] - Pair.strains : stains in u,v and gamma Format: [0.1,0.1,0.1] - """ - self.material1 = material1 - self.material2 = material2 - self.surface1 = surface1 - self.surface2 = surface2 - self.multiplicity1 = multiplicity1 - self.multiplicity2 = multiplicity2 - self.strains = strains - - -# parser = argparse.ArgumentParser() -parser = OptionParser() -parser.add_option( - "-a", - "--matera", - action="store", - type="string", - dest="mater1", - default="material.cif", - help="The first material. Default material.cif", -) -parser.add_option( - "-b", - "--materb", - action="store", - type="string", - dest="mater2", - default="material-b.cif", - help="The second material. Default material-b.cif", -) -parser.add_option( - "-s", - "--strain", - action="store", - type="float", - dest="strain", - default="0.04", - help="Maximum strain between the interfaces. Default 0.04", -) -parser.add_option( - "-l", - "--limit", - action="store", - type="int", - dest="limit", - default=5, - help="Maximum number of supercell expansions for each interface. Default 5", -) -parser.add_option("-v", action="store_true", dest="verbose") -# parser.add_option("-v", "--verbose", dest="verbose", type='bool', default=True, help="increase output verbosity") -# parser.add_argument("--print_strains", help="increase output verbosity of strian output") -(options, args) = parser.parse_args() - -# Define some basic algebra - - -def dotproduct(v1, v2): - return sum((a * b) for a, b in zip(v1, v2)) - - -def length(v): - return math.sqrt(dotproduct(v, v)) - - -def angle(v1, v2): - return math.acos(dotproduct(v1, v2) / (length(v1) * length(v2))) - - -# Define the tests as required by Fig 2 of Zur and McGill -def test1(a, b): - if np.dot(a, b) < 0: - return False - else: - return True - - -def test2(a, b): - if np.linalg.norm(a) > np.linalg.norm(b): - return False - else: - return True - - -def test3(a, b): - if np.linalg.norm(b) > np.linalg.norm(b + a): - return False - else: - return True - - -def test4(a, b): - if np.linalg.norm(b) > np.linalg.norm(b - a): - return False - else: - return True - - -# Switching of vectors as prescribed by Fig 2 of Zur and McGill -def cond1(a, b): - if np.dot(a, b) < 0: - b = -b - return a, b - - -def cond2(a, b): - if np.linalg.norm(a) > np.linalg.norm(b): - c = b - b = a - a = c - cond1(a, b) - return a, b - - -def cond3(a, b): - if np.linalg.norm(b) > np.linalg.norm(b + a): - b = b + a - return a, b - - -def cond4(a, b): - if np.linalg.norm(b) > np.linalg.norm(b - a): - b = b - a - return a, b - - -# § -def reduce_vectors(va, vb): - """Reduce the surface vectors to their minimal cell, as outlined in figure 2 of - J. Appl. Phys. 55, 380 (1984) - Args: - va,vb: lists of real numbers/integers. Minimum length 2 - Returns: - a,b: arrays of dimension (2x1). The reduced vectors - - """ - a = np.asarray(va[0:2]) - b = np.asarray(vb[0:2]) - test_truth = 0 # A test that all 4 necessary conditions are met - while test_truth < 4: - a, b = cond1(a, b) - a, b = cond2(a, b) - a, b = cond3(a, b) - a, b = cond4(a, b) - truths = [test1(a, b), test2(a, b), test3(a, b), test4(a, b)] - test_truth = sum(truths) - - return a, b - - -def surface_vectors(lattice, miller): - """Given the xtal as defined with a (3x3) cell uses the ase surface module to cut the required surface. - Args: - lattice : ase Atoms object - miller : miller indices of the surface, a tuple of integers, length 3. - Returns: - vectors[0/1] : the surface vectors (u,v), list of real numbers. - """ - surf = surface(lattice, miller, layers=1) - vectors = surf.cell[0:2] - return vectors[0], vectors[1] - - -def surface_ratios(surface_a, surface_b, threshold=0.05, limit=5): - """Given two surfaces a and b defined by vectors (u,v) tests to see if there is a ratio of r1/r2 which gives a lattice vector with mismatch less than the threshold. - Args: - surfaces_ : the surface vectors and angle. A (3) tuple of real numbers. - threshold : the limit for lattice mismatch. - limit : the maximum number to multiply lattices by to obtain match. - Returns: - exists : a bool of wheter the match was found - multiplicity : a list (1x2) with the integer values to multiply by. - """ - - epitaxy = False - u_satisfied = False - v_satisfied = False - angles_match = False - - super_a = (0, 0) - super_b = (0, 0) - strains = [0, 0, 0] - if options.verbose: - print(" Entering matching ratios routine") - print("------ ------- ------- -------") - print("Surface a: ", surface_a) - print("Surface b: ", surface_b) - print("------ ------- ------- -------") - # Ensure that the vector angles match (up to an arbitrary 180 degree rotation) - if surface_a[2] - surface_b[2] <= 0.2: - angles_match = True - strains[2] = surface_a[2] - surface_b[2] - if options.verbose: - print("Angles are within tolerance") - # Run the test for the first lattice vector set - if angles_match: - for i in range(1, limit + 1): - if u_satisfied: - break - for j in range(1, limit + 1): - r1 = float(i * surface_a[0]) - r2 = float(j * surface_b[0]) - strain = 2 * abs(r1 - r2) / (r1 + r2) - if strain < threshold: - a = (i, j) - u_satisfied = True - strains[0] = strain - break - - # Run the test for the second lattice vector set - if u_satisfied: # Dont bother with v if u not satisfied - for i in range(1, limit + 1): - if v_satisfied: - break - for j in range(1, limit + 1): - r1 = float(i * surface_a[1]) - r2 = float(j * surface_b[1]) - strain = 2 * abs(r1 - r2) / (r1 + r2) - if strain < threshold: - b = (i, j) - v_satisfied = True - strains[1] = strain - break - if angles_match and u_satisfied and v_satisfied: - super_a = (a[0], b[0]) - super_b = (a[1], b[1]) - epitaxy = True - return epitaxy, super_a, super_b, strains - - -material1 = re.sub(r"\.cif$", "", options.mater1) -material2 = re.sub(r"\.cif$", "", options.mater2) - -# Code output header, for God's sake clean this up! -# God's will be done. -""" -print "###-----------------------------------###" -print "### ###" -print " Scanning for srufaces of " -print " ",material1, material2 -print "### ###" -print "###-----------------------------------###" -""" - -# Scan through the various miller indices -indices_a = list(itertools.product([0, 1], repeat=3)) -indices_a = [(1, 0, 0), (1, 1, 0)] # Just consider these two for MAPI -xtalA = io.read(options.mater1) -xtalB = io.read(options.mater2) -# mathced_pairs is a list containing the Pairs class for all unique interfaces -matched_pairs = [] -print(" ") -print( - "-------------------------------------------------------------------------------------------------" -) -print( - "-------------------------------------------------------------------------------------------------" -) -print( - "(miller 1) (miller 2) (mult 1) (mult 2) [Strain in vector u, Strain in vector v, angle mis-match]" -) -# Set the values for material A -for index_a in indices_a: - if index_a != (0, 0, 0): - vec1, vec2 = surface_vectors(xtalA, index_a) - r_vec1, r_vec2 = reduce_vectors(vec1, vec2) - surface_vector_1 = ( - length(r_vec1), - length(r_vec2), - angle(r_vec1, r_vec2), - ) - # Set the values for material B - indices_b = list(itertools.product([0, 1], repeat=3)) - for index_b in indices_b: - if index_b != (0, 0, 0): - vec1, vec2 = surface_vectors(xtalB, index_b) - r_vec1, r_vec2 = reduce_vectors(vec1, vec2) - surface_vector_2 = ( - length(r_vec1), - length(r_vec2), - angle(r_vec1, r_vec2), - ) - epitaxy, a, b, strains = surface_ratios( - surface_vector_1, - surface_vector_2, - threshold=options.strain, - limit=options.limit, - ) - # print index_a, index_b, surface_vector_1, surface_vector_2 - if epitaxy: - if options.verbose: - print("------ ------ ------ ------ ------") - print( - "Surface A multiplicity: ", - a, - "semiconductor multiplicity: ", - b, - ) - print("Strain vector: ", strains) - surface_super_cell_a = np.asarray( - surface_vector_1[0:2] - ) * np.asarray(a) - print("Surface super-cell vector: ", surface_super_cell_a) - surface_super_cell_b = np.asarray( - surface_vector_2[0:2] - ) * np.asarray(b) - print("Surface super-cell vector: ", surface_super_cell_b) - print("------ ------ ------ ------ ------") - else: - new = Pair( - material1, material2, index_a, index_b, a, b, strains - ) - isnew = True - if len(matched_pairs) == 0 and new.strains[2] == 0.0: - matched_pairs.append(new) - for old in matched_pairs: - if ( - new.multiplicity1 == old.multiplicity1 - and new.multiplicity2 == old.multiplicity2 - and new.strains == old.strains - ): - isnew = False - else: - continue - if len(matched_pairs) > 0 and isnew and new.strains[2] == 0.0: - matched_pairs.append(new) - # print("%s ; %s ; %s; %s ; %s; %s" % ('Found',a,index_a,b,index_b,strains)) -print(material1, material2, len(matched_pairs)) -for pair in matched_pairs: - print( - pair.surface1, - pair.surface2, - pair.multiplicity1, - pair.multiplicity2, - pair.strains, - ) - -print( - "#################################################################################################" -) -# print "###-----------------------------------###" -# print "### ###" -# print "###-----------------------------------###" diff --git a/examples/Practical_tutorial/Site/LatticeSite.py b/examples/Practical_tutorial/Site/LatticeSite.py deleted file mode 100644 index 1536e436..00000000 --- a/examples/Practical_tutorial/Site/LatticeSite.py +++ /dev/null @@ -1,361 +0,0 @@ -import glob -import itertools -import math -import re -from optparse import OptionParser - -import ase.build.surface as surface - -# import smact.core as core -import ase.io as io -import numpy as np -import SiteMatch -import surface_points - - -# We need a class "pair" which contains the information about a matching interface pair -class Pair: - """Class providing standard nformation on interface matching pairs.""" - - def __init__( - self, - material1, - material2, - surface1, - surface2, - multiplicity1, - multiplicity2, - strains, - csl, - ): - """ - Attributes: - Pair.material1 : name of first material - Pair.material2 : name of second material - Pair.surface1 : miller index of surface 1 Format: [1,1,1] - Pair.surface2 : miller index of surface 2 Format: [1,1,1] - Pair.multiplicity1 : multiplicity of u,v in surface1 Format: [1,1] - Pair.multiplicity2 : multiplicity of u,v in surface2 Format: [1,1] - Pair.strains : stains in u,v and gamma Format: [0.1,0.1,0.1] - Pair.csl : the site matching, a float - """ - self.material1 = material1 - self.material2 = material2 - self.surface1 = surface1 - self.surface2 = surface2 - self.multiplicity1 = multiplicity1 - self.multiplicity2 = multiplicity2 - self.strains = strains - self.csl = csl - - -# parser = argparse.ArgumentParser() -parser = OptionParser() -parser.add_option( - "-a", - "--matera", - action="store", - type="string", - dest="mater1", - default="material.cif", - help="The first material. Default material.cif", -) -parser.add_option( - "-b", - "--materb", - action="store", - type="string", - dest="mater2", - default="material-b.cif", - help="The second material. Default material-b.cif", -) -parser.add_option( - "-s", - "--strain", - action="store", - type="float", - dest="strain", - default="0.04", - help="Maximum strain between the interfaces. Default 0.04", -) - -parser.add_option("-v", action="store_true", dest="verbose") -(options, args) = parser.parse_args() - -# Define some basic algebra - - -def dotproduct(v1, v2): - return sum((a * b) for a, b in zip(v1, v2)) - - -def length(v): - return math.sqrt(dotproduct(v, v)) - - -def angle(v1, v2): - return math.acos(dotproduct(v1, v2) / (length(v1) * length(v2))) - - -# Define the tests as required by Fig 2 of Zur and McGill -def test1(a, b): - if np.dot(a, b) < 0: - return False - else: - return True - - -def test2(a, b): - if np.linalg.norm(a) > np.linalg.norm(b): - return False - else: - return True - - -def test3(a, b): - if np.linalg.norm(b) > np.linalg.norm(b + a): - return False - else: - return True - - -def test4(a, b): - if np.linalg.norm(b) > np.linalg.norm(b - a): - return False - else: - return True - - -# Switching of vectors as prescribed by Fig 2 of Zur and McGill -def cond1(a, b): - if np.dot(a, b) < 0: - b = -b - return a, b - - -def cond2(a, b): - if np.linalg.norm(a) > np.linalg.norm(b): - c = b - b = a - a = c - cond1(a, b) - return a, b - - -def cond3(a, b): - if np.linalg.norm(b) > np.linalg.norm(b + a): - b = b + a - return a, b - - -def cond4(a, b): - if np.linalg.norm(b) > np.linalg.norm(b - a): - b = b - a - return a, b - - -# § -def reduce_vectors(va, vb): - """Reduce the surface vectors to their minimal cell, as outlined in figure 2 of - J. Appl. Phys. 55, 380 (1984) - Args: - va,vb: lists of real numbers/integers. Minimum length 2 - Returns: - a,b: arrays of dimension (2x1). The reduced vectors - - """ - a = np.asarray(va[0:2]) - b = np.asarray(vb[0:2]) - test_truth = 0 # A test that all 4 necessary conditions are met - while test_truth < 4: - a, b = cond1(a, b) - a, b = cond2(a, b) - a, b = cond3(a, b) - a, b = cond4(a, b) - truths = [test1(a, b), test2(a, b), test3(a, b), test4(a, b)] - test_truth = sum(truths) - - return a, b - - -def surface_vectors(lattice, miller): - """Given the xtal as defined with a (3x3) cell uses the ase surface module to cut the required surface. - Args: - lattice : ase Atoms object - miller : miller indices of the surface, a tuple of integers, length 3. - Returns: - vectors[0/1] : the surface vectors (u,v), list of real numbers. - """ - surf = surface(lattice, miller, layers=1) - vectors = surf.cell[0:2] - return vectors[0], vectors[1] - - -def surface_ratios(surface_a, surface_b, threshold=0.05, limit=5): - """Given two surfaces a and b defined by vectors (u,v) tests to see if there is a ratio of r1/r2 which gives a lattice vector with mismatch less than the threshold. - Args: - surfaces_ : the surface vectors and angle. A (3) tuple of real numbers. - threshold : the limit for lattice mismatch. - limit : the maximum number to multiply lattices by to obtain match. - Returns: - exists : a bool of whether the match was found - multiplicity : a list (1x2) with the integer values to multiply by. - """ - - epitaxy = False - u_satisfied = False - v_satisfied = False - angles_match = False - - super_a = (0, 0) - super_b = (0, 0) - strains = [0, 0, 0] - if options.verbose: - print(" Entering matching ratios routine") - print("------ ------- ------- -------") - print("Surface a: ", surface_a) - print("Surface b: ", surface_b) - print("------ ------- ------- -------") - # Ensure that the vector angles match (up to an arbitrary 180 degree rotation) - if surface_a[2] - surface_b[2] <= 0.2: - angles_match = True - strains[2] = surface_a[2] - surface_b[2] - if options.verbose: - print("Angles are within tolerance") - # Run the test for the first lattice vector set - if angles_match: - for i in range(1, limit + 1): - if u_satisfied: - break - for j in range(1, limit + 1): - r1 = float(i * surface_a[0]) - r2 = float(j * surface_b[0]) - strain = 2 * abs(r1 - r2) / (r1 + r2) - if strain < threshold: - a = (i, j) - u_satisfied = True - strains[0] = strain - break - - # Run the test for the second lattice vector set - if u_satisfied: # Dont bother with v if u not satisfied - for i in range(1, limit + 1): - if v_satisfied: - break - for j in range(1, limit + 1): - r1 = float(i * surface_a[1]) - r2 = float(j * surface_b[1]) - strain = 2 * abs(r1 - r2) / (r1 + r2) - if strain < threshold: - b = (i, j) - v_satisfied = True - strains[1] = strain - break - if angles_match and u_satisfied and v_satisfied: - super_a = (a[0], b[0]) - super_b = (a[1], b[1]) - epitaxy = True - return epitaxy, super_a, super_b, strains - - -material1 = re.sub(r"\.cif$", "", options.mater1) -material2 = re.sub(r"\.cif$", "", options.mater2) - -# Code output header, for God's sake clean this up! -# God's will be done. - -# Scan through the various miller indices -indices_a = list(itertools.product([0, 1], repeat=3)) -# indices_a = [(1,0,0),(1,1,0)] # Just consider these two for MAPI -xtalA = io.read(options.mater1) -xtalB = io.read(options.mater2) -# mathced_pairs is a list containing the Pairs class for all unique interfaces -matched_pairs = [] -# Set the values for material A -for index_a in indices_a: - if index_a != (0, 0, 0): - vec1, vec2 = surface_vectors(xtalA, index_a) - r_vec1, r_vec2 = reduce_vectors(vec1, vec2) - surface_vector_1 = ( - length(r_vec1), - length(r_vec2), - angle(r_vec1, r_vec2), - ) - # Set the values for material B - indices_b = list(itertools.product([0, 1], repeat=3)) - for index_b in indices_b: - if index_b != (0, 0, 0): - vec1, vec2 = surface_vectors(xtalB, index_b) - r_vec1, r_vec2 = reduce_vectors(vec1, vec2) - surface_vector_2 = ( - length(r_vec1), - length(r_vec2), - angle(r_vec1, r_vec2), - ) - epitaxy, a, b, strains = surface_ratios( - surface_vector_1, - surface_vector_2, - threshold=options.strain, - limit=5, - ) - if epitaxy: - if options.verbose: - print("------ ------ ------ ------ ------") - print( - "Surface A multiplicity: ", - a, - "semiconductor multiplicity: ", - b, - ) - print("Strain vector: ", strains) - surface_super_cell_a = np.asarray( - surface_vector_1[0:2] - ) * np.asarray(a) - print("Surface super-cell vector: ", surface_super_cell_a) - surface_super_cell_b = np.asarray( - surface_vector_2[0:2] - ) * np.asarray(b) - print("Surface super-cell vector: ", surface_super_cell_b) - print("------ ------ ------ ------ ------") - else: - new = Pair( - material1, material2, index_a, index_b, a, b, strains, 0.0 - ) - isnew = True - if len(matched_pairs) == 0 and new.strains[2] == 0.0: - matched_pairs.append(new) - for old in matched_pairs: - if ( - new.multiplicity1 == old.multiplicity1 - and new.multiplicity2 == old.multiplicity2 - ): - if ( - new.surface1 == old.surface1 - and new.surface2 == old.surface2 - ): - isnew = False - else: - continue - if len(matched_pairs) > 0 and isnew and new.strains[2] == 0.0: - matched_pairs.append(new) -# print material1, material2, len(matched_pairs) -for pair in matched_pairs: - material_1 = pair.material1 - material_2 = pair.material2 - print("") - print(material_1, material_2) - surface_1 = "".join(map(str, pair.surface1)) - surface_2 = "".join(map(str, pair.surface2)) - multiplicity1 = pair.multiplicity1 - multiplicity2 = pair.multiplicity2 - surfs_1 = getattr(surface_points, material_1)(surface_1) - surfs_2 = getattr(surface_points, material_2)(surface_2) - if len(surfs_1) > 0 and len(surfs_2) > 0: - pair.csl = SiteMatch.find_max_csl( - surfs_1, surfs_2, multiplicity1, multiplicity2 - ) - print( - pair.surface1, - pair.surface2, - (pair.csl * 100) / (1 + np.mean(pair.strains[:2] * 100)), - ) diff --git a/examples/Practical_tutorial/Site/SiteMatch.py b/examples/Practical_tutorial/Site/SiteMatch.py deleted file mode 100755 index 91a2a3ce..00000000 --- a/examples/Practical_tutorial/Site/SiteMatch.py +++ /dev/null @@ -1,146 +0,0 @@ -#!/usr/bin/env python -# Searches for site overlap between two lattices -# All input between lines 72 - 79 -# Requires the surface_points.py file, which defines the different surfaces -################################################################################ -# Copyright Keith T Butler (2015) # -# # -# This file is part of SMACT: builder.py is free software: you can # -# redistribute it and/or modify it under the terms of the GNU General Public # -# License as published by the Free Software Foundation, either version 3 of # -# the License, or (at your option) any later version. # -# This program is distributed in the hope that it will be useful, but WITHOUT # -# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # -# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for # -# more details. # -# You should have received a copy of the GNU General Public License along with # -# this program. If not, see . # -# # -################################################################################ - -from optparse import OptionParser - -import numpy as np -import surface_points - - -def find_max_csl(surfs_1, surfs_2, multiplicity1, multiplicity2): - """ - Given surface points and multiplicities of the surfaces this returns the maximal overlap fraction of the sites - Attr: - surfs : lists of the surface points on each side of the interface. - multiplicity : lists of the multiplicity of the lattice vectors of u and v for each side of the interface. - Returns: - max_csl : float, the maximum fraction overlap found. - """ - csl_values = [] - for surface_1 in surfs_1: - if len(surface_1) > 0: - surf_1_super = super_surface( - np.asarray(surface_1), np.asarray(multiplicity1) - ) - for surface_2 in surfs_2: - if len(surface_2) > 0: - surf_2_super = super_surface( - np.asarray(surface_2), np.asarray(multiplicity2) - ) - for i in np.arange(0, 1, 0.1): - for j in np.arange(0, 1, 0.1): - t_surf = translate(surf_2_super, [i, j]) - csl_values.append( - csl(surf_1_super, t_surf, multiplicity1) - ) - - return max(csl_values) - - -def super_surface(surface, multiplicity): - """Makes a super cell out of the surface coordinates""" - - surf_super = [] - for site in surface: - for u in range(1, multiplicity[0] + 1): - for v in range(1, multiplicity[1] + 1): - surf_super.append( - [ - (site[0] + (u - 1)) / multiplicity[0], - (site[1] + (v - 1)) / multiplicity[1], - ] - ) - return np.asarray(surf_super) - - -def distance(a, b, mult): - """Calculate separations, don't forget that we need to scale the separations by the multiplicity of the MAPI surface in each direction.""" - d1 = abs(a[0] - b[0]) - if d1 > 1: - d1 = d1 - 1 - d2 = abs(a[1] - b[1]) - if d2 > 1: - d2 = d2 - 1 - - return np.sqrt((d1 * mult[0]) ** 2 + (d2 * mult[1]) ** 2) - - -def csl(surface1, surface2, mult_a, tol=0.15): - """Takes two surfaces and calculates the number of co-inciding sites (within a tolerance)""" - coincidence = 0.0 - for site_a in surface1: - for site_b in surface2: - if distance(site_a, site_b, mult_a) <= tol: - coincidence = coincidence + 1.0 - return coincidence * 2 / (len(surface1) + len(surface2)) - - -def wrapped(site): - """Crude minimum image for this code""" - if site[0] > 1: - site[0] = site[0] - 1 - if site[1] > 1: - site[1] = site[1] - 1 - if site[0] < 0: - site[0] = site[0] + 1 - if site[1] < 0: - site[1] = site[1] + 1 - return site - - -def translate(surface, T): - """Translate the positions of the ions by a given vector""" - for i, site in enumerate(surface): - site = wrapped(site + T) - surface[i] = site - return surface - - -def get_comma_separated_args(option, opt, value, parser): - setattr(parser.values, option.dest, value.split(",")) - - -###### THESE ARE THE INPUT VARIABLES ####### -""" -parser = OptionParser() -parser.add_option("-a", "--matera", - action="store", type="string", dest="mater1", default="perovskite", - help="The first material to consider") -parser.add_option("-b", "--materb", - action="store", type="string", dest="mater2", default="perovskite", - help="The second material to consider") -parser.add_option("-x", "--millera", - action="store", type=int, dest="milla", default="100", - help="The first materials miller index to consider, format : 100") -parser.add_option("-y", "--millerb", - action="store", type=int, dest="millb", default="100", - help="The second materials miller index to consider, format : 100 ") -parser.add_option("-u", "--multa", - type='string',action="callback", dest="multa", - callback=get_comma_separated_args, - help="The first materials multiplicity, format : 2,2") -parser.add_option("-v", "--multb", - type='string',action="callback", dest="multb", - callback=get_comma_separated_args, - help="The second materials multiplicity, format : 3,3") - - -(options, args) = parser.parse_args() -""" diff --git a/examples/Practical_tutorial/Site/csl.py b/examples/Practical_tutorial/Site/csl.py deleted file mode 100755 index 38720db7..00000000 --- a/examples/Practical_tutorial/Site/csl.py +++ /dev/null @@ -1,193 +0,0 @@ -#!/usr/bin/env python -# Searches for site overlap between two lattices -# All input between lines 72 - 79 -# Requires the surface_points.py file, which defines the different surfaces -################################################################################ -# Copyright Keith T Butler (2015) # -# # -# This file is part of SMACT: builder.py is free software: you can # -# redistribute it and/or modify it under the terms of the GNU General Public # -# License as published by the Free Software Foundation, either version 3 of # -# the License, or (at your option) any later version. # -# This program is distributed in the hope that it will be useful, but WITHOUT # -# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # -# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for # -# more details. # -# You should have received a copy of the GNU General Public License along with # -# this program. If not, see . # -# # -################################################################################ - -from optparse import OptionParser - -import numpy as np -import surface_points - - -def find_max_csl(surfs_1, surfs_2, multiplicity1, multiplicity2): - """ - Given surface points and multiplicities of the surfaces this returns the maximal overlap fraction of the sites - Attr: - surfs : lists of the surface points on each side of the interface. - multiplicity : lists of the multiplicity of the lattice vectors of u and v for each side of the interface. - Returns: - max_csl : float, the maximum fraction overlap found. - """ - csl_values = [] - for surface_1 in surfs_1: - if len(surface_1) > 0: - surf_1_super = super_surface( - np.asarray(surface_1), np.asarray(multiplicity1) - ) - for surface_2 in surfs_2: - if len(surface_2) > 0: - surf_2_super = super_surface( - np.asarray(surface_2), np.asarray(multiplicity2) - ) - for i in np.arange(0, 1, 0.1): - for j in np.arange(0, 1, 0.1): - t_surf = translate(surf_2_super, [i, j]) - csl_values.append( - csl(surf_1_super, t_surf, multiplicity1) - ) - - return max(csl_values) - - -def super_surface(surface, multiplicity): - """Makes a super cell out of the surface coordinates""" - - surf_super = [] - for site in surface: - for u in range(1, multiplicity[0] + 1): - for v in range(1, multiplicity[1] + 1): - surf_super.append( - [ - (site[0] + (u - 1)) / multiplicity[0], - (site[1] + (v - 1)) / multiplicity[1], - ] - ) - return np.asarray(surf_super) - - -def distance(a, b, mult): - """Calculate separations, don't forget that we need to scale the separations by the multiplicity of the MAPI surface in each direction.""" - d1 = abs(a[0] - b[0]) - if d1 > 1: - d1 = d1 - 1 - d2 = abs(a[1] - b[1]) - if d2 > 1: - d2 = d2 - 1 - - return np.sqrt((d1 * mult[0]) ** 2 + (d2 * mult[1]) ** 2) - - -def csl(surface1, surface2, mult_a, tol=0.15): - """Takes two surfaces and calculates the number of co-inciding sites (within a tolerance)""" - coincidence = 0.0 - for site_a in surface1: - for site_b in surface2: - if distance(site_a, site_b, mult_a) <= tol: - coincidence = coincidence + 1.0 - return coincidence * 2 / (len(surface1) + len(surface2)) - - -def wrapped(site): - """Crude minimum image for this code""" - if site[0] > 1: - site[0] = site[0] - 1 - if site[1] > 1: - site[1] = site[1] - 1 - if site[0] < 0: - site[0] = site[0] + 1 - if site[1] < 0: - site[1] = site[1] + 1 - return site - - -def translate(surface, T): - """Translate the positions of the ions by a given vector""" - for i, site in enumerate(surface): - site = wrapped(site + T) - surface[i] = site - return surface - - -def get_comma_separated_args(option, opt, value, parser): - setattr(parser.values, option.dest, value.split(",")) - - -###### THESE ARE THE INPUT VARIABLES ####### -parser = OptionParser() -parser.add_option( - "-a", - "--matera", - action="store", - type="string", - dest="mater1", - default="perovskite", - help="The first material to consider", -) -parser.add_option( - "-b", - "--materb", - action="store", - type="string", - dest="mater2", - default="perovskite", - help="The second material to consider", -) -parser.add_option( - "-x", - "--millera", - action="store", - type=str, - dest="milla", - default="100", - help="The first materials miller index to consider, format : 100", -) -parser.add_option( - "-y", - "--millerb", - action="store", - type=str, - dest="millb", - default="100", - help="The second materials miller index to consider, format : 100 ", -) -parser.add_option( - "-u", - "--multa", - type="string", - action="callback", - dest="multa", - callback=get_comma_separated_args, - help="The first materials multiplicity, format : 2,2", -) -parser.add_option( - "-v", - "--multb", - type="string", - action="callback", - dest="multb", - callback=get_comma_separated_args, - help="The second materials multiplicity, format : 3,3", -) - - -(options, args) = parser.parse_args() -material_1 = options.mater1 -material_2 = options.mater2 -surface_1 = str(options.milla) -surface_2 = str(options.millb) -multiplicity1 = list(map(int, options.multa)) -multiplicity2 = list(map(int, options.multb)) -######## INPUT OVER ########### -print(material_1, surface_1) -print(material_2, surface_2) -surfs_1 = getattr(surface_points, material_1)(surface_1) -surfs_2 = getattr(surface_points, material_2)(surface_2) - -if len(surfs_1) > 0 and len(surfs_2) > 0: - maxi = find_max_csl(surfs_1, surfs_2, multiplicity1, multiplicity2) - print(maxi) diff --git a/examples/Practical_tutorial/Site/surface_points.py b/examples/Practical_tutorial/Site/surface_points.py deleted file mode 100644 index 5f53d5dd..00000000 --- a/examples/Practical_tutorial/Site/surface_points.py +++ /dev/null @@ -1,710 +0,0 @@ -#!/usr/bin/env python -# Defines the positions (on a 2D grid) of the positions of under-coordinated -# atoms at the surface of a material -################################################################################ -# Copyright Keith T Butler (2015) # -# # -# This file is part of SMACT: builder.py is free software: you can # -# redistribute it and/or modify it under the terms of the GNU General Public # -# License as published by the Free Software Foundation, either version 3 of # -# the License, or (at your option) any later version. # -# This program is distributed in the hope that it will be useful, but WITHOUT # -# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or # -# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for # -# more details. # -# You should have received a copy of the GNU General Public License along with # -# this program. If not, see . # -# # -################################################################################ - -""" -The general form of the surface_points file. - -Each new species or class of materials is defined as a function, the function contains a dictionary of the known surfaces of that material or class. -The surfaces contain the 2D projection of the under-coordinated surface atoms, there may be several possible terminations, then there are all listed. - -The function has a list called 'exists', this contains all surfaces for which surface points are available. If you add a new surface be sure to include it in this list too. - -Each dictionary item contains a list of the surface cuts and must end with an empty tuple, note the ,() at the end of each item. -""" - - -def anatase(miller): - exists = ["001", "010", "110", "100", "101"] - if miller in exists: - surfaces = {} - surfaces["110"] = ( - [0.0, 0.0], - [0.2, 0], - [0.3, 0.5], - [0.5, 0.5], - [0.7, 0.5], - [0.8, 0.0], - ), () - surfaces["001"] = ([0.5, 0.0], [0.5, 0.5]), () - surfaces["010"] = ( - [0.5, 0.0], - [0.0, 0.0], - [0.0, 0.2], - [0.5, 0.5], - [0.5, 0.75], - [0.8, 0.0], - ), () - surfaces["100"] = ( - [0.5, 0.0], - [0.0, 0.0], - [0.0, 0.2], - [0.5, 0.5], - [0.5, 0.75], - [0.8, 0.0], - ), () - surfaces["101"] = ( - ( - [0.0, 0.17], - [0.5, 0.12], - [0.0, 0.37], - [0.0, 0.62], - [0.5, 0.67], - [0.5, 0.87], - ), - ([0.0, 0.14], [0.0, 0.34], [0.5, 0.68], [0.5, 0.84]), - ( - [0.0, 0.15], - [0.0, 0.36], - [0.5, 0.4], - [0.0, 0.57], - [0.5, 0.65], - [0.5, 0.86], - [0.0, 0.9], - ), - (), - ) - - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def TiO2a(miller): - exists = ["001", "010", "110", "100", "101"] - if miller in exists: - surfaces = {} - surfaces["110"] = ( - [0.0, 0.0], - [0.2, 0], - [0.3, 0.5], - [0.5, 0.5], - [0.7, 0.5], - [0.8, 0.0], - ), () - surfaces["001"] = ([0.5, 0.0], [0.5, 0.5]), () - surfaces["010"] = ( - [0.5, 0.0], - [0.0, 0.0], - [0.0, 0.2], - [0.5, 0.5], - [0.5, 0.75], - [0.8, 0.0], - ), () - surfaces["100"] = ( - [0.5, 0.0], - [0.0, 0.0], - [0.0, 0.2], - [0.5, 0.5], - [0.5, 0.75], - [0.8, 0.0], - ), () - surfaces["101"] = ( - ( - [0.0, 0.17], - [0.5, 0.12], - [0.0, 0.37], - [0.0, 0.62], - [0.5, 0.67], - [0.5, 0.87], - ), - ([0.0, 0.14], [0.0, 0.34], [0.5, 0.68], [0.5, 0.84]), - ( - [0.0, 0.15], - [0.0, 0.36], - [0.5, 0.4], - [0.0, 0.57], - [0.5, 0.65], - [0.5, 0.86], - [0.0, 0.9], - ), - (), - ) - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def WO3(miller): - exists = ["100", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ( - ([0.0, 0.25], [0, 0.75], [0.5, 0.25], [0.5, 0.75]), - ( - [0.25, 0.2], - [0.5, 0.25], - [0.5, 0.75], - [0.7, 0.7], - [0.5, 1.0], - [1.0, 1.0], - ), - (), - ) - surfaces["110"] = ( - [0.5, 0.3], - [0.75, 0.3], - [1.0, 0.8], - [0.75, 0.80], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def perovskite(miller): - exists = ["100", "110", "112"] - if miller in exists: - surfaces = {} - surfaces["100"] = ( - ([0, 0], [0.5, 0.5]), - ([0.5, 0], [0, 0.5], [0.5, 0.5]), - (), - ) - surfaces["112"] = ([0.0, 0.0], [0.5, 0.0], [0.5, 0.5]), () - surfaces["110"] = ([0.0, 0.0], [0.0, 0.5], [0.75, 0.5]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def CH3NH3PbI3(miller): - exists = ["100", "110", "112"] - if miller in exists: - surfaces = {} - surfaces["100"] = ( - ([0, 0], [0.5, 0.5]), - ([0.5, 0], [0, 0.5], [0.5, 0.5]), - (), - ) - surfaces["112"] = ([0.0, 0.0], [0.5, 0.0], [0.5, 0.5]), () - surfaces["110"] = ([0.0, 0.0], [0.0, 0.5], [0.75, 0.5]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def SrTiO3(miller): - exists = ["100", "110", "112"] - if miller in exists: - surfaces = {} - surfaces["100"] = ( - ([0, 0], [0.5, 0.5]), - ([0.5, 0], [0, 0.5], [0.5, 0.5]), - (), - ) - surfaces["112"] = ([0.0, 0.0], [0.5, 0.0], [0.5, 0.5]), () - surfaces["110"] = ([0.0, 0.0], [0.0, 0.5], [0.75, 0.5]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def zincblende(miller): - exists = ["100", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.75, 0.25], [0.0, 0.0]), () - surfaces["110"] = ( - [0.25, 0.9], - [0.25, 0.4], - [0.5, 0.7], - [0.5, 0.2], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def CuIz(miller): - exists = ["100", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.75, 0.25], [0.0, 0.0]), () - surfaces["001"] = ([0.75, 0.25], [0.0, 0.0]), () - surfaces["110"] = ( - [0.25, 0.9], - [0.25, 0.4], - [0.5, 0.7], - [0.5, 0.2], - ), () - surfaces["011"] = ( - [0.25, 0.9], - [0.25, 0.4], - [0.5, 0.7], - [0.5, 0.2], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def rocksalt(miller): - exists = ["001", "100", "110", "011"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.0, 0.0], [0.5, 0.5]), () - surfaces["001"] = ([0.0, 0.0], [0.5, 0.5]), () - surfaces["110"] = ([0.0, 0.0], [0.0, 0.5], [0.5, 0.0], [0.5, 0.5]), () - surfaces["011"] = ([0.0, 0.0], [0.0, 0.5], [0.5, 0.0], [0.5, 0.5]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def ZnTe(miller): - exists = ["001", "100", "110", "011"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.0, 0.0], [0.5, 0.5]), () - surfaces["001"] = ([0.0, 0.0], [0.5, 0.5]), () - surfaces["110"] = ([0.0, 0.0], [0.0, 0.5], [0.5, 0.0], [0.5, 0.5]), () - surfaces["011"] = ([0.0, 0.0], [0.0, 0.5], [0.5, 0.0], [0.5, 0.5]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def bixybite(miller): - exists = ["100"] - if miller in exists: - surfaces = {} - surfaces["100"] = ( - ( - [0.2, 0.9], - [0.6, 0.9], - [0.9, 0.6], - [0.4, 0.4], - [0.9, 0.4], - [0.7, 0.1], - ), - ( - [0.2, 0.2], - [0.2, 0.7], - [0.7, 0.2], - [0.7, 0.7], - [0.0, 0.3], - [0.3, 0.5], - [0.8, 0.5], - [0.5, 0.8], - ), - (), - ) - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def rutile(miller): - exists = ["001", "010", "110", "011"] - if miller in exists: - surfaces = {} - surfaces["001"] = ([0.5, 0.5], [0.2, 0.8], [0.8, 0.2]), () - surfaces["010"] = ([0.5, 0.5], [0.7, 0.0]), () - surfaces["110"] = ([0.0, 0.9], [0.0, 0.45]), () - surfaces["011"] = ([0.0, 0.7], [0.3, 0.9], [0.2, 0.4], [0.5, 0.2]), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def MoO3(miller): - exists = ["001", "101"] - if miller in exists: - surfaces = {} - surfaces["001"] = ( - ([0.9, 0.75], [0.7, 0.25], [0.6, 0.25], [0.4, 0.25]), - ( - [0.9, 0.75], - [0.7, 0.25], - [0.6, 0.25], - [0.6, 0.75], - [0.4, 0.25], - [0.4, 0.75], - [0.3, 0.75], - [0.0, 0.25], - ), - (), - ) - surfaces["101"] = ( - [0.25, 1.0], - [0.75, 0.7], - [0.75, 0.66], - [0.25, 0.5], - [0.75, 0.3], - [0.25, 0.1], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def wurtzite(miller): - exists = ["100", "010", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0, 0], [0, 0.37]), () - surfaces["010"] = ([0, 0], [0, 0.37]), () - surfaces["110"] = ( - [0, 0.8], - [0.37, 0.8], - [0.5, 0.17], - [0.87, 0.17], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def GaN(miller): - exists = ["100", "010", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0, 0], [0, 0.37]), () - surfaces["010"] = ([0, 0], [0, 0.37]), () - surfaces["110"] = ( - [0, 0.8], - [0.37, 0.8], - [0.5, 0.17], - [0.87, 0.17], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def SiC(miller): - exists = ["100", "010", "110"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0, 0], [0, 0.37]), () - surfaces["010"] = ([0, 0], [0, 0.37]), () - surfaces["110"] = ( - [0, 0.8], - [0.37, 0.8], - [0.5, 0.17], - [0.87, 0.17], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def Cu2O(miller): - exists = ["100", "110", "001", "011"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.0, 0.0],), () - surfaces["110"] = ([0.0, 0.0],), () - surfaces["001"] = ([0.0, 0.0],), () - surfaces["011"] = ([0.0, 0.0],), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def In2S3(miller): - exists = ["001", "010"] - if miller in exists: - surfaces = {} - surfaces["001"] = ( - ([0.0, 0.25], [0.5, 0.0]), - ( - [0.0, 0.0], - [0.5, 0.0], - [0.25, 0.75], - [0.75, 0.75], - [0.0, 0.5], - [0.5, 0.0], - ), - ([0.0, 0.0], [0.75, 0.25], [0.0, 0.5], [0.25, 0.75], [0.25, 0.25]), - (), - ) - surfaces["010"] = ( - [0.5, 0.0], - [0.75, 0.2], - [0.25, 0.2], - [0.75, 0.25], - [0.75, 0.3], - [0.25, 0.3], - [0.0, 0.45], - [0.75, 0.5], - [0.25, 0.5], - [0.75, 0.6, 0.25, 0.6], - [0.75, 0.66], - [0.25, 0.66], - [0.5, 0.7], - [0.0, 0.8], - [0.25, 0.84], - [0.75, 0.84], - [0.75, 0.92], - [0.75, 0.92], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def MnTiO3(miller): - exists = ["010"] - if miller in exists: - surfaces = {} - surfaces["010"] = ( - [0.6, 0.1], - [0.9, 0.15], - [0.2, 0.25], - [0.9, 0.36], - [0.52, 0.42], - [0.25, 0.58], - [0.9, 0.64], - [0.6, 0.75], - [0.9, 0.85], - [0.23, 0.9], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def ZnTiO3(miller): - exists = ["011"] - if miller in exists: - surfaces = {} - surfaces["011"] = ( - [0.45, 0.09], - [0.30, 0.45], - [0.82, 0.26], - [0.97, 0.60], - [0.73, 0.82], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def SnS2(miller): - exists = ["100"] - if miller in exists: - surfaces = {} - surfaces["100"] = ([0.0, 0.0],), ([0.67, 0.33],), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def Ce2O3(miller): - exists = ["101"] - if miller in exists: - surfaces = {} - surfaces["101"] = ([0.69, 0.54],), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def LiNbO3(miller): - exists = ["010"] - if miller in exists: - surfaces = {} - surfaces["010"] = ( - [0.60, 0.90], - [0.89, 0.83], - [0.19, 0.73], - [0.89, 0.61], - [0.51, 0.57], - [0.21, 0.40], - [0.89, 0.33], - [0.58, 0.23], - [0.89, 0.11], - [0.28, 0.07], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] - - -def Ce2S3(miller): - exists = ["101", "110", "100", "010"] - if miller in exists: - surfaces = {} - surfaces["101"] = ( - [0.25, 0.99], - [0.25, 0.80], - [0.25, 0.64], - [0.25, 0.47], - [0.75, 0.30], - [0.25, 0.22], - [0.75, 0.11], - ), () - surfaces["110"] = ( - [0.93, 0.65], - [0.89, 0.25], - [0.78, 0.88], - [0.70, 0.14], - [0.72, 0.47], - [0.54, 0.56], - [0.43, 0.36], - [0.39, 0.76], - [0.29, 0.46], - [0.20, 0.87], - [0.04, 0.45], - ), () - surfaces["100"] = ( - [0.75, 0.89], - [0.75, 0.70], - [0.25, 0.57], - [0.75, 0.46], - [0.75, 0.28], - [0.25, 0.20], - [0.75, 0.07], - ), () - surfaces["010"] = ( - [0.73, 0.04], - [0.13, 0.07], - [0.85, 0.22], - [0.35, 0.28], - [0.23, 0.46], - [0.63, 0.43], - [0.99, 0.61], - [0.36, 0.70], - [0.86, 0.80], - [0.49, 0.89], - ), () - return surfaces[miller] - else: - print( - "No non-polar surface", - miller, - "is currently in the database, maybe you want to add it.", - ) - return [] diff --git a/examples/README.md b/examples/README.md deleted file mode 100644 index 10de1662..00000000 --- a/examples/README.md +++ /dev/null @@ -1,74 +0,0 @@ -# SMACT Examples -A collection of computational experiments using the open-source package [SMACT](https://github.com/WMD-group/smact). - -## Requirements - -### Python -An introduction to the importance of Python for scientists, and the basics of the coding language, is available [elsewhere](https://www.researchgate.net/profile/Brian_Toby/publication/269995603_Whypython_scientists_should_learn_to_program_in_Python/links/549dbd610cf2b803713a7bec.pdf). For a complete beginner, [Codecademy](https://www.codecademy.com/learn/learn-python-3) or [Datacamp](https://www.datacamp.com/courses/intro-to-python-for-data-science) are good places to start. These examples have been tested with **Python 3.6**. - -### Packages -The examples are presented in [Jupyter notebooks](http://jupyter.org). Jupyter is included with standard Python distributions such as [Anaconda](https://www.continuum.io/downloads) and the [Homebrew Superpack for Mac](http://stronginference.com/ScipySuperpack/). There are dependencies on [SMACT](https://github.com/WMD-group/smact) and for some practicals [ASE](https://wiki.fysik.dtu.dk/ase/) and [Pymatgen](www.pymatgen.org). - -## Example notebooks - -### Practical tutorial -A two-part tutorial that has been used as a teaching aid for masters courses in the UK (University of Bath) and Korea (Yonsei University). It is probably the most pedagogical example and is a good place to start. It consists of two parts: - -- **Combinations_practical.ipynb:** The "bread and butter" of SMACT. This covers the basics of constructing the search space for new inorganic materials by considering raw combinations of elements. The resulting space is then filtered using rules based on simple chemical ideas such as electronegativity and charge neutrality. -- **ELS_practical.ipynb:** Covers an example procedure for matching the surfaces of two inorganic materials together, as described in [this publication](https://pubs.rsc.org/en/content/articlelanding/2016/tc/c5tc04091d#!divAbstract) by Butler et. al. - -### Counting -These examples also explore the generation of compositional spaces: - -- **Generate\_compositions\_lists.ipynb:** A walkthrough of how to use SMACT to generate a list -of allowed compositions from a chosen search-space of elements. It shows how to choose the elements -you are interested in, and how to apply the standard smact_filter with a certain stoichiometry threshold (see [docs here](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) for more info). -It also shows you how to interface the output to [Pymatgen](http://pymatgen.org/) or [Pandas](https://pandas.pydata.org/). - -- **Raw_combinations.ipynb:** Does not use SMACT, but uses itertools to calculate the raw number of possible -element or species combinations for 2, 3 and 4-component compositions. - -- **ElementCombinationsParallel.py:** A script that reproduces the numbers in Table 1 of the 2016 Chem Paper -[Computational Screening of All Stoichiometric Inorganic Materials](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3). -It is currently only Python2 compatible and is kept here as a record of the calculation methodology. - -### Cation mutation - -The concept of cation mutation (ion substitution) to tune the properties of compounds has been around at least [since the 1950s](https://www.sciencedirect.com/science/article/pii/0022369758900507) and has proved a useful concept in [more recent studies](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.79.165211). - -![](Cation_mutation/cation_mutation.png) - -This example generates all possible (symmetry inequivalent) substitutions of Sr on Ba sites in the cubic perovskite -BaTiO3; single and double substitutions. -The distorter module uses the [ASE Python library](https://wiki.fysik.dtu.dk/ase/) to achieve this. - -### Inverse perovskites - - Perovskites are an important class of inorganic materials, particularly for solar energy applications. - Usually, the perovskite structure contains an A cationm, a B cation and an X anion in the ratio 1:1:3 ([see wikipeidia for more information](https://en.wikipedia.org/wiki/Perovskite_(structure))). - Here we search for charge inverted perovskites, i.e. with an anion on the A site. This class of material is closely related to perovskites, and may represent another fruitful search space for new photovoltaic materials. - -In this example we assume a simple [formate molecule](https://en.wikipedia.org/wiki/Formate) as the C-site and uses [Goldschmidt ratio rules](https://en.wikipedia.org/wiki/Goldschmidt_tolerance_factor) as part of the screening. -These rules allow us to estimate whether or not a perovskite structure is likely to form based on data about ionic size alone. -We also apply the standard charge neutrality and electronegativity tests as described [in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations). - -### Solar oxides -Generates a set of quaternary oxide compositions using a modified `smact_filter` function and then turns the results into a dataframe with features that can be read by a machine learning algorithm. - -### Simple wrappers - -Gives a simple example of how SMACT can be incorporated into a python script -for use at the command line using argparse. - -### Structure prediction -Contains an example workflow of using the structure prediction submodule which is based on ionic substitution of SMACT. The inspiration for this submodule was from a [2011 paper by Hautier et al.](https://pubs.acs.org/doi/abs/10.1021/ic102031h). -The notebooks involve setting up a database of SMACT compatible structures, generating the compositions, and using the structure prediction tool to assign compositions to a known crystal structure system. - -### Dopant prediction -Contains an example of using the dopant prediction submodule. - -### Oxidation states -Contains an example of using the `smact.oxidation_states` submodule to predict the likelihood of metal cations coexisting with halide anions in ternary compounds based on a statistical analysis of oxidation states. Full details of the oxidation states model can be found in [this publication](https://pubs.rsc.org/en/content/articlelanding/2018/FD/C8FD00032H). - -### SMACT validity -Contains an example of using `smact.screening.smact_validity` to screen through a list of compositions and check if they are valid according to the rules of SMACT. \ No newline at end of file diff --git a/examples/Simple_wrappers/Simple_wrappers.ipynb b/examples/Simple_wrappers/Simple_wrappers.ipynb deleted file mode 100644 index bacecd42..00000000 --- a/examples/Simple_wrappers/Simple_wrappers.ipynb +++ /dev/null @@ -1,72 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple wrapers\n", - "### An example of how `smact` functions might be used from the command line" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the band gap according to Walter Harrison’s 1980 work “Electronic Structure and the Properties of Solids: The Physics of the Chemical Bond”. " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "usage: band_gap_simple.py [-h] [-a ANION] [-c CATION] [-d DISTANCE] [-v]\n", - "\n", - "Compound band gap estimates from elemental data.\n", - "\n", - "optional arguments:\n", - " -h, --help show this help message and exit\n", - " -a ANION, --anion ANION\n", - " Element symbol for anion.\n", - " -c CATION, --cation CATION\n", - " Element symbol for cation.\n", - " -d DISTANCE, --distance DISTANCE\n", - " Internuclear separation.\n", - " -v, --verbose More Verbose output.\n", - "3.8944137939094166\n" - ] - } - ], - "source": [ - "%%bash\n", - "python band_gap_simple.py --h\n", - "python band_gap_simple.py -c Mg -a Cl -d 2.38" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Solar_oxides/SolarOxides.ipynb b/examples/Solar_oxides/SolarOxides.ipynb deleted file mode 100644 index 3f67b56b..00000000 --- a/examples/Solar_oxides/SolarOxides.ipynb +++ /dev/null @@ -1,353 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Composition generation\n", - "Here, we generate a set of quaternary oxide compositions using a modified `smact_filter` function and then turn the results into a dataframe with features that can be read by a machine learning algorithm.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "### Imports ###\n", - "import multiprocessing\n", - "from itertools import combinations, product\n", - "\n", - "import pandas as pd\n", - "from matminer.featurizers import composition as cf\n", - "from matminer.featurizers.base import MultipleFeaturizer\n", - "from matminer.featurizers.conversions import StrToComposition\n", - "from pymatgen import Composition\n", - "\n", - "import smact\n", - "from smact import screening" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the elements we are interested in\n", - "all_el = smact.element_dictionary()\n", - "symbol_list = [k for k, i in all_el.items()]\n", - "do_not_want = [\n", - " \"H\",\n", - " \"He\",\n", - " \"B\",\n", - " \"C\",\n", - " \"O\",\n", - " \"Ne\",\n", - " \"Ar\",\n", - " \"Kr\",\n", - " \"Tc\",\n", - " \"Xe\",\n", - " \"Rn\",\n", - " \"Ac\",\n", - " \"Th\",\n", - " \"Pa\",\n", - " \"U\",\n", - " \"Np\",\n", - " \"Pu\",\n", - " \"Am\",\n", - " \"Cm\",\n", - " \"Bk\",\n", - " \"Cf\",\n", - " \"Es\",\n", - " \"Fm\",\n", - " \"Md\",\n", - " \"No\",\n", - " \"Lr\",\n", - " \"Ra\",\n", - " \"Fr\",\n", - " \"At\",\n", - " \"Po\",\n", - " \"Pm\",\n", - " \"Eu\",\n", - " \"Tb\",\n", - " \"Yb\",\n", - "]\n", - "good_elements = [all_el[x] for x in symbol_list if x not in do_not_want]\n", - "\n", - "all_el_combos = combinations(good_elements, 3)\n", - "\n", - "\n", - "def smact_filter(els):\n", - " all_compounds = []\n", - " elements = [e.symbol for e in els] + [\"O\"]\n", - "\n", - " # Get Pauling electronegativities\n", - " paul_a, paul_b, paul_c = (\n", - " els[0].pauling_eneg,\n", - " els[1].pauling_eneg,\n", - " els[2].pauling_eneg,\n", - " )\n", - " electronegativities = [paul_a, paul_b, paul_c, 3.44]\n", - "\n", - " # For each set of species (in oxidation states) apply both SMACT tests\n", - " for ox_a, ox_b, ox_c in product(\n", - " els[0].oxidation_states,\n", - " els[1].oxidation_states,\n", - " els[2].oxidation_states,\n", - " ):\n", - " ox_states = [ox_a, ox_b, ox_c, -2]\n", - " # Test for charge balance\n", - " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", - " if cn_e:\n", - " # Electronegativity test\n", - " electroneg_OK = screening.pauling_test(\n", - " ox_states, electronegativities\n", - " )\n", - " if electroneg_OK:\n", - " compound = tuple([elements, cn_r[0]])\n", - " all_compounds.append(compound)\n", - " return all_compounds" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Multiprocessing is used to speed things up (generation of all compositions takes ~40 minutes on a 4GHz Intel core i7 iMac)." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of compositions: 3217181\n" - ] - } - ], - "source": [ - "with multiprocessing.Pool() as p:\n", - " result = p.map(smact_filter, all_el_combos)\n", - "\n", - "flat_list = [item for sublist in result for item in sublist]\n", - "print(f\"Number of compositions: {len(flat_list)}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We turn our generated compositions into pretty formulas, again using multiprocessing. There should be ~1.1M unique formulas. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of unique compositions formulas: 1118505\n" - ] - } - ], - "source": [ - "def comp_maker(comp):\n", - " form = []\n", - " for el, ammt in zip(comp[0], comp[1]):\n", - " form.append(el)\n", - " form.append(ammt)\n", - " form = \"\".join(str(e) for e in form)\n", - " pmg_form = Composition(form).reduced_formula\n", - " return pmg_form\n", - "\n", - "\n", - "with multiprocessing.Pool() as p:\n", - " pretty_formulas = p.map(comp_maker, flat_list)\n", - "\n", - "unique_pretty_formulas = list(set(pretty_formulas))\n", - "print(f\"Number of unique compositions formulas: {len(unique_pretty_formulas)}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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"application/vnd.jupyter.widget-view+json": { - "model_id": "6ed5582a5f4c4716aaa28b6208b1c318", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(IntProgress(value=0, description='MultipleFeaturizer', max=1118505, style=ProgressStyle(descrip…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# Add descriptor columns\n", - "# this will take a little time as we have over 1 million rows\n", - "str_to_comp = StrToComposition(target_col_id=\"composition_obj\")\n", - "str_to_comp.featurize_dataframe(new_data, col_id=\"pretty_formula\")\n", - "\n", - "feature_calculators = MultipleFeaturizer(\n", - " [\n", - " cf.Stoichiometry(),\n", - " cf.ElementProperty.from_preset(\"magpie\"),\n", - " cf.ValenceOrbital(props=[\"avg\"]),\n", - " cf.IonProperty(fast=True),\n", - " cf.BandCenter(),\n", - " cf.AtomicOrbitals(),\n", - " ]\n", - ")\n", - "\n", - "feature_labels = feature_calculators.feature_labels()\n", - "feature_calculators.featurize_dataframe(new_data, col_id=\"composition_obj\");" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# Save as .csv file\n", - "new_data.to_csv(\"All_oxide_comps_dataframe_featurized.csv\", chunksize=10000)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Structure_Prediction/Garnet_Database.ipynb b/examples/Structure_Prediction/Garnet_Database.ipynb index f45fe6bf..22862291 100644 --- a/examples/Structure_Prediction/Garnet_Database.ipynb +++ b/examples/Structure_Prediction/Garnet_Database.ipynb @@ -13,33 +13,20 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import itertools\n", - "import json\n", - "from itertools import zip_longest\n", - "from pprint import pprint\n", + "from __future__ import annotations\n", "\n", "import pandas as pd\n", - "from ipywidgets import widgets\n", "from pymatgen.analysis import structure_matcher\n", "from pymatgen.ext.matproj import MPRester\n", - "from pymatgen.util.plotting import pretty_plot\n", "\n", "# An optional utility to display a progress bar\n", "# for long-running loops. `pip install tqdm`.\n", - "from tqdm import tqdm\n", - "\n", - "import smact\n", "from smact.structure_prediction import (\n", " database,\n", - " mutation,\n", - " prediction,\n", - " probability_models,\n", - " structure,\n", - " utilities,\n", ")" ] }, @@ -52,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -312,7 +299,7 @@ "9 True NaN 4.782 cubic NaN " ] }, - "execution_count": 8, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -332,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -362,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -387,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -417,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -453,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -555,9 +542,7 @@ "for i in data_2:\n", " if SM.fit_anonymous(i[\"structure\"], YAG_structure):\n", " fitted_data_2.append(i)\n", - "print(\n", - " f\"Of the {len(data_2)} materials, {len(fitted_data_2)} match the structure of YAG\"\n", - ")\n", + "print(f\"Of the {len(data_2)} materials, {len(fitted_data_2)} match the structure of YAG\")\n", "print(\"\")\n", "\n", "# Find the number of experimental and theoretical materials\n", @@ -568,12 +553,8 @@ " experimental_list_2.append(i)\n", " else:\n", " theoretical_list_2.append(i)\n", - "print(\n", - " f\"There are {len(experimental_list_2)} experimental garnet structures with formula X3Y5O12\"\n", - ")\n", - "print(\n", - " f\"There are {len(theoretical_list_2)} theoretical structures with formula X3Y5O12\"\n", - ")\n", + "print(f\"There are {len(experimental_list_2)} experimental garnet structures with formula X3Y5O12\")\n", + "print(f\"There are {len(theoretical_list_2)} theoretical structures with formula X3Y5O12\")\n", "\n", "print(\n", " f\"Considering formulas A3B2C3O12 and X3Y5O12, suggest there are {len(fitted_data)+len(fitted_data_2)} materials with the garnet structure in the Materials Project\"\n", @@ -590,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -721,7 +702,7 @@ "4 # generated using pymatgen\\ndata_Na3Co2(GeO4)3... " ] }, - "execution_count": 14, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -739,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -762,7 +743,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -777,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -834,7 +815,7 @@ "188" ] }, - "execution_count": 17, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } diff --git a/examples/Structure_Prediction/Li-Garnet_Generator.ipynb b/examples/Structure_Prediction/Li-Garnet_Generator.ipynb index 36ad2cf5..9d2a4b30 100644 --- a/examples/Structure_Prediction/Li-Garnet_Generator.ipynb +++ b/examples/Structure_Prediction/Li-Garnet_Generator.ipynb @@ -2,19 +2,19 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Imports\n", + "from __future__ import annotations\n", + "\n", "import itertools\n", "import multiprocessing\n", "from datetime import datetime\n", "\n", "import smact\n", "from smact import (\n", - " Element,\n", - " Species,\n", " element_dictionary,\n", " neutral_ratios,\n", " ordered_elements,\n", @@ -24,14 +24,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Generate the dictionary of elements\n", - "all_el = element_dictionary(\n", - " elements=ordered_elements(1, 83)\n", - ") # A dictionary of all element objects\n", + "all_el = element_dictionary(elements=ordered_elements(1, 83)) # A dictionary of all element objects\n", "symbols_list = list(all_el.keys())\n", "all_els = [all_el[symbol] for symbol in symbols_list]\n", "dont_want = [\"He\", \"Ne\", \"Ar\", \"Kr\", \"Xe\", \"Pm\", \"Tc\"]\n", @@ -44,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -66,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -100,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -114,9 +112,7 @@ "source": [ "# Generate the A-B-C-D combinations\n", "\n", - "ABCD_pairs = [\n", - " (x, y, z, a) for x in A_els for y in B_els for z in C_els for a in D_els\n", - "]\n", + "ABCD_pairs = [(x, y, z, a) for x in A_els for y in B_els for z in C_els for a in D_els]\n", "\n", "# Prove to ourselves that we have all unique chemical systems\n", "print(f\"We have generated {len(ABCD_pairs)} potential compounds\")\n", @@ -127,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -141,6 +137,7 @@ " threshold (int): Threshold for stoichiometry limit, default = 8\n", " species_unique (bool): Whether or not to consider elements in different\n", " oxidation states as unique in the results.\n", + "\n", " Returns:\n", " allowed_comps (list): Allowed compositions for that chemical system\n", " in the form [(elements), (oxidation states), (ratios)] if species_unique=True\n", @@ -174,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -196,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -218,16 +215,14 @@ "# Flatten the list of lists\n", "flat_list = [item for sublist in result for item in sublist]\n", "print(f\"Number of compositions: --> {len(flat_list)} <--\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", + "print(\"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\")\n", "for i in flat_list[:5]:\n", " print(i)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -268,7 +263,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -284,9 +279,7 @@ "def sus_calc(comp):\n", " sus_factor = 0\n", " for i in Composition(comp).elements:\n", - " sus_factor += (\n", - " Composition(comp).get_wt_fraction(i) * smact.Element(i.symbol).HHI_r\n", - " )\n", + " sus_factor += Composition(comp).get_wt_fraction(i) * smact.Element(i.symbol).HHI_r\n", " return sus_factor\n", "\n", "\n", @@ -301,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -309,7 +302,7 @@ "# Need to our list in the form of [(A,x), (B,y), (C,z)]\n", "# Where A,B,C are species, dtype-string\n", "# x,y,z are the charges/oxidation state - dtype: int\n", - "from smact.structure_prediction.utilities import parse_spec, unparse_spec\n", + "from smact.structure_prediction.utilities import unparse_spec\n", "\n", "species = []\n", "A = []\n", @@ -326,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -417,7 +410,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 16, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -437,7 +430,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -528,7 +521,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 17, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -537,13 +530,6 @@ "df.to_csv(\"./Li-Garnet_Comps_sus.csv\", index=False)\n", "df.head()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb b/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb index bc74a81a..f5f09f64 100644 --- a/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb +++ b/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb @@ -2,37 +2,23 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import itertools\n", - "import json\n", - "import logging\n", - "import multiprocessing\n", + "from __future__ import annotations\n", + "\n", "import os\n", - "import pickle\n", - "import unittest\n", - "from contextlib import contextmanager\n", "from datetime import datetime\n", "from operator import itemgetter\n", - "from random import sample\n", "\n", - "import numpy as np\n", "import pandas as pd\n", - "import pymatgen\n", - "from pandas.testing import assert_frame_equal, assert_series_equal\n", - "from pymatgen.analysis.structure_prediction.substitution_probability import (\n", - " SubstitutionProbability,\n", - ")\n", "\n", - "import smact\n", - "from smact import Species\n", "from smact.structure_prediction.database import StructureDB\n", "from smact.structure_prediction.mutation import CationMutator\n", "from smact.structure_prediction.prediction import StructurePredictor\n", "from smact.structure_prediction.structure import SmactStructure\n", - "from smact.structure_prediction.utilities import parse_spec, unparse_spec" + "from smact.structure_prediction.utilities import parse_spec" ] }, { @@ -62,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -153,7 +139,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 5, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -163,13 +149,6 @@ "comps.head()" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -184,7 +163,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +185,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -232,7 +211,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -247,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -326,7 +305,7 @@ "4 Fe5+ Al3+ Li1+ O2-" ] }, - "execution_count": 7, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -345,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -436,7 +415,7 @@ "4 Fe5+ Al3+ Li1+ O2- Li3Al2(FeO4)3 1086.691220" ] }, - "execution_count": 8, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -449,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -470,14 +449,12 @@ "source": [ "print(inner_merged.head())\n", "print(\"\")\n", - "print(\n", - " f\"We have reduced our search space from {comps.shape[0]} to {inner_merged.shape[0]}\"\n", - ")" + "print(f\"We have reduced our search space from {comps.shape[0]} to {inner_merged.shape[0]}\")" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -486,7 +463,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -511,18 +488,14 @@ "]\n", "\n", "# Set up a for loop to store\n", - "from datetime import datetime\n", "\n", "start = datetime.now()\n", - "from operator import itemgetter\n", "\n", "preds = []\n", "parents_list = []\n", "probs_list = []\n", "for test_specs in test_specs_list:\n", - " predictions = list(\n", - " SP.predict_structs(test_specs, thresh=10e-4, include_same=False)\n", - " )\n", + " predictions = list(SP.predict_structs(test_specs, thresh=10e-4, include_same=False))\n", " predictions.sort(key=itemgetter(1), reverse=True)\n", " parents = [x[2].composition() for x in predictions]\n", " probs = [x[1] for x in predictions]\n", @@ -546,7 +519,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -568,15 +541,13 @@ " probs.append(i[0][1])\n", " parent_structs.append(i[0][2].as_poscar())\n", " parent_pretty_formula.append(\n", - " mg.Structure.from_str(\n", - " i[0][2].as_poscar(), fmt=\"poscar\"\n", - " ).composition.reduced_formula\n", + " mg.Structure.from_str(i[0][2].as_poscar(), fmt=\"poscar\").composition.reduced_formula\n", " )" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -705,7 +676,7 @@ "39 None None " ] }, - "execution_count": 57, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -722,7 +693,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -736,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -865,7 +836,7 @@ "4 Li3Cr2(AsO4)3 As5+ Cr3+ Li1+ O2-\\n1.0\\n-6.068257 6.068257 6.... " ] }, - "execution_count": 66, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -879,7 +850,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -897,7 +868,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -926,7 +897,6 @@ "\n", "# Check the ratio of In DB?:Not in DB\n", "in_db_count = results[\"In DB?\"].value_counts()\n", - "import numpy as np\n", "from matplotlib import pyplot as plt\n", "\n", "fig = plt.figure()\n", @@ -939,7 +909,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -960,16 +930,14 @@ "import seaborn as sns\n", "\n", "plt.figure(figsize=(8, 6))\n", - "ax1 = sns.histplot(\n", - " data=results, x=\"probability\", hue=\"In DB?\", multiple=\"stack\"\n", - ")\n", + "ax1 = sns.histplot(data=results, x=\"probability\", hue=\"In DB?\", multiple=\"stack\")\n", "# ax2=sns.histplot(new_series, label=\"New Garnets\")\n", "# plt.savefig(\"Prediction_Probability_Distribution_pym.png\")" ] }, { "cell_type": "code", - "execution_count": 91, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -994,7 +962,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1129,7 +1097,7 @@ "4 Li3Cr2(AsO4)3 As5+ Cr3+ Li1+ O2-\\n1.0\\n-6.068257 6.068257 6.... No " ] }, - "execution_count": 92, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -1149,7 +1117,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1162,7 +1130,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1171,7 +1139,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1180,7 +1148,7 @@ "14" ] }, - "execution_count": 79, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -1192,7 +1160,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1212,7 +1180,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1243,7 +1211,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1266,7 +1234,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1286,13 +1254,6 @@ "ax3 = periodic_table_heatmap(elemental_data=C_els_counts, cbar_label=\"Counts\")\n", "ax3.savefig(f\"{outdir}/periodic_table_C.png\")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/Structure_Prediction/_Materials Project .csv b/examples/Structure_Prediction/_Materials Project .csv index d4232ffb..093e2785 100644 --- a/examples/Structure_Prediction/_Materials Project .csv +++ b/examples/Structure_Prediction/_Materials Project .csv @@ -480,4 +480,4 @@ "mp-6700","Mg3Cr2(SiO4)3","Ia3d","-2.967","0.699","3.455","true","813.106","80","false","","3.702","cubic","" "mvc-4363","Al2Si3(WO4)3","Ia3d","-2.075","0.71","0.116","false","816.658","80","true","","7.171","cubic","" "mp-694966","Li3V2(PO4)3","P2","-1.694","1.036","0.000","false","1097.299","80","true","","2.467","monoclinic","" -"mp-1202926","Au3N3(Cl6O)2","C2/c","0.452","1.038","0.000","false","1220.656","40","false","","2.967","monoclinic","" \ No newline at end of file +"mp-1202926","Au3N3(Cl6O)2","C2/c","0.452","1.038","0.000","false","1220.656","40","false","","2.967","monoclinic","" diff --git a/paper.md b/paper.md index dfd1c68b..2a31290f 100644 --- a/paper.md +++ b/paper.md @@ -1,66 +1,66 @@ ---- -title: 'SMACT: Semiconducting Materials by Analogy and Chemical Theory' -tags: - - Python - - materials design - - chemical heuristics - - high-throughput screening -authors: - - name: Daniel W. Davies - orcid: 0000-0003-4094-5992 - affiliation: 1 - - name: Keith T. Butler - orcid: 0000-0001-5432-5597 - affiliation: 2 - - name: Adam J. Jackson - orcid: 0000-0001-5272-6530 - affiliation: 3 - - name: Jonathan M. Skelton - orcid: 0000-0002-0395-1202 - affiliation: 4 - - name: Kazuki Morita - orcid: 0000-0002-2558-6963 - affiliation: "1" - - name: Aron Walsh - orcid: 0000-0001-5460-7033 - affiliation: "1, 5" -affiliations: - - name: Department of Materials, Imperial College London, London, UK - index: 1 - - name: SciML, STFC Scientific Computing Division, Rutherford Appleton Laboratories, UK - index: 2 - - name: Department of Chemistry, University College London, London, UK - index: 3 - - name: School of Chemistry, University of Manchester, Manchester, UK - index: 4 - - name: Department of Materials Science and Engineering, Yonsei University, Seoul, Korea - index: 5 -date: 01 March 2019 -bibliography: paper.bib ---- - -The paradigm of data-driven science is revolutionising the materials discovery process. There are now many databases containing experimental and calculated materials properties and extensive codes available for applying data mining, machine learning, and other statistical approaches (a well-maintained list is available on [github.com/tilde-lab/awesome-materials-informatics](https://github.com/tilde-lab/awesome-materials-informatics)). While we use these tools to push forward in the quest to learn as much as we can from existing materials, it is becoming clear that the search space for new materials remains relatively uncharted. - -The discovery of new chemical compounds (combinations of elements arranged in a particular way in space) underpins materials discovery. The `smact` Python library is designed to facilitate a top-down approach where sets of element combinations are generated then screened using chemical filters. It is possible to screen for candidates that make "chemical sense" according to the well-established principles of electron valence and charge neutrality. The methodology is inspired by the seminal work of Goodman and Pamplin who carried out similar procedures by hand, predicting the existence of new semiconductors by analogy with existing compounds [@pamplin1964; @goodman1958]. - -Once a set of compositions is generated, further functions built into `smact` can be used to filter for candidates with target properties using data-driven models. These functions can predict key electronic structure properties such as the optical band gap using the solid-state energy scale [@pelatt2011], evaluate sustainability metrics using the Herfidahl-Hirschman Index of resource availability [@gaultois2013], and predict stability using a statistical oxidation states model [@davies2018]. - -**Core components:** The element and species classes are at the heart of `smact`. Elements are elements of the periodic table. Species are elements in a particular oxidation state and (optionally) coordination environment. These classes provide access to tabulated data and the properties of these objects are leveraged by the screening functions. For example, atomic radii can be used in the application of radius-ratio rules [@goldschmidt1929] and electronegativities can be used to estimate electronic properties [@nethercot1974]. In a typical workflow, screening functions are applied to lists of elements or species sets. While other chemistry toolkits such as `OpenBabel` [@oboyle2011], the Atomic Simulation Environment (`ASE`) [@ase-paper] and `Pymatgen` [@ong2013] can also be used to access tabulated element data, `smact` is distinctive in that it primarily deals with chemical composition and associated properties, as opposed to molecular or crystal structure. - -**High-throughput workflows:** The number of possible element combinations is enormous, exceeding $4\times10^{12}$ for four-component compounds [@davies_computational_2016]. For this reason, functions from `smact` can be applied at low computational cost to facilitate the screening of vast areas of chemical space rapidly on a desktop computer. This is made possible by (i) a `data_loader` module which implements a data-caching system to avoid a large amount of I/O and (ii) using Python's built-in `multiprocessing` library, as shown in the [example workflows](https://github.com/WMD-group/SMACT/tree/master/examples). - -**Interfacing to machine learning:** Materials design is begining to benefit from the development of powerful machine learning techniques, with many supervised learning models being built to predict important properties [@butler2018]. The `smact` library can provide a large, unseen chemical space to which trained models can be applied. The compositions generated by `smact` can be featurised using the `matminer` Python library [@ward2018] or converted to objects used in `Pymatgen`. - -# Author contributions - -[DWD](https://github.com/dandavies99), [AJJ](https://github.com/ajjackson) and [KTB](https://github.com/keeeto) contributed equally to the primary code base of the `smact` package and, along with [AW](https://wmd-group.github.io/), made the majority of decisions about which features should be available and how they should be implemented. [JMS](https://github.com/jmskelton) improved the code performance by implementing the `data_loader` module. [KM](https://github.com/KazMorita) implemented atomic polarizability and associated tests. The first draft of this manuscript was written by DWD with input from all co-authours. - -# Acknowledgements - -The development of this code has benefited through discussions with and contributions from many members of the Walsh research group including -Andrew Morris, -Timothy Gaunlett, -Jarvist M. Frost, -Suzanne K. Wallace. - -# References +--- +title: "SMACT: Semiconducting Materials by Analogy and Chemical Theory" +tags: + - Python + - materials design + - chemical heuristics + - high-throughput screening +authors: + - name: Daniel W. Davies + orcid: 0000-0003-4094-5992 + affiliation: 1 + - name: Keith T. Butler + orcid: 0000-0001-5432-5597 + affiliation: 2 + - name: Adam J. Jackson + orcid: 0000-0001-5272-6530 + affiliation: 3 + - name: Jonathan M. Skelton + orcid: 0000-0002-0395-1202 + affiliation: 4 + - name: Kazuki Morita + orcid: 0000-0002-2558-6963 + affiliation: "1" + - name: Aron Walsh + orcid: 0000-0001-5460-7033 + affiliation: "1, 5" +affiliations: + - name: Department of Materials, Imperial College London, London, UK + index: 1 + - name: SciML, STFC Scientific Computing Division, Rutherford Appleton Laboratories, UK + index: 2 + - name: Department of Chemistry, University College London, London, UK + index: 3 + - name: School of Chemistry, University of Manchester, Manchester, UK + index: 4 + - name: Department of Materials Science and Engineering, Yonsei University, Seoul, Korea + index: 5 +date: 01 March 2019 +bibliography: paper.bib +--- + +The paradigm of data-driven science is revolutionising the materials discovery process. There are now many databases containing experimental and calculated materials properties and extensive codes available for applying data mining, machine learning, and other statistical approaches (a well-maintained list is available on [github.com/tilde-lab/awesome-materials-informatics](https://github.com/tilde-lab/awesome-materials-informatics)). While we use these tools to push forward in the quest to learn as much as we can from existing materials, it is becoming clear that the search space for new materials remains relatively uncharted. + +The discovery of new chemical compounds (combinations of elements arranged in a particular way in space) underpins materials discovery. The `smact` Python library is designed to facilitate a top-down approach where sets of element combinations are generated then screened using chemical filters. It is possible to screen for candidates that make "chemical sense" according to the well-established principles of electron valence and charge neutrality. The methodology is inspired by the seminal work of Goodman and Pamplin who carried out similar procedures by hand, predicting the existence of new semiconductors by analogy with existing compounds [@pamplin1964; @goodman1958]. + +Once a set of compositions is generated, further functions built into `smact` can be used to filter for candidates with target properties using data-driven models. These functions can predict key electronic structure properties such as the optical band gap using the solid-state energy scale [@pelatt2011], evaluate sustainability metrics using the Herfidahl-Hirschman Index of resource availability [@gaultois2013], and predict stability using a statistical oxidation states model [@davies2018]. + +**Core components:** The element and species classes are at the heart of `smact`. Elements are elements of the periodic table. Species are elements in a particular oxidation state and (optionally) coordination environment. These classes provide access to tabulated data and the properties of these objects are leveraged by the screening functions. For example, atomic radii can be used in the application of radius-ratio rules [@goldschmidt1929] and electronegativities can be used to estimate electronic properties [@nethercot1974]. In a typical workflow, screening functions are applied to lists of elements or species sets. While other chemistry toolkits such as `OpenBabel` [@oboyle2011], the Atomic Simulation Environment (`ASE`) [@ase-paper] and `Pymatgen` [@ong2013] can also be used to access tabulated element data, `smact` is distinctive in that it primarily deals with chemical composition and associated properties, as opposed to molecular or crystal structure. + +**High-throughput workflows:** The number of possible element combinations is enormous, exceeding $4\times10^{12}$ for four-component compounds [@davies_computational_2016]. For this reason, functions from `smact` can be applied at low computational cost to facilitate the screening of vast areas of chemical space rapidly on a desktop computer. This is made possible by (i) a `data_loader` module which implements a data-caching system to avoid a large amount of I/O and (ii) using Python's built-in `multiprocessing` library, as shown in the [example workflows](https://github.com/WMD-group/SMACT/tree/master/examples). + +**Interfacing to machine learning:** Materials design is begining to benefit from the development of powerful machine learning techniques, with many supervised learning models being built to predict important properties [@butler2018]. The `smact` library can provide a large, unseen chemical space to which trained models can be applied. The compositions generated by `smact` can be featurised using the `matminer` Python library [@ward2018] or converted to objects used in `Pymatgen`. + +# Author contributions + +[DWD](https://github.com/dandavies99), [AJJ](https://github.com/ajjackson) and [KTB](https://github.com/keeeto) contributed equally to the primary code base of the `smact` package and, along with [AW](https://wmd-group.github.io/), made the majority of decisions about which features should be available and how they should be implemented. [JMS](https://github.com/jmskelton) improved the code performance by implementing the `data_loader` module. [KM](https://github.com/KazMorita) implemented atomic polarizability and associated tests. The first draft of this manuscript was written by DWD with input from all co-authours. + +# Acknowledgements + +The development of this code has benefited through discussions with and contributions from many members of the Walsh research group including +Andrew Morris, +Timothy Gaunlett, +Jarvist M. Frost, +Suzanne K. Wallace. + +# References diff --git a/pyproject.toml b/pyproject.toml index 062dedf2..17342cec 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,11 +1,279 @@ [build-system] # Minimum requirements for the build system to execute. -requires = ["setuptools"] # PEP 508 specifications. +requires = ["setuptools>=65.0.0"] # PEP 508 specifications. build-backend = "setuptools.build_meta" +[project] +name = "SMACT" +version = "2.6" +description = "Semiconducting Materials by Analogy and Chemical Theory" +readme = "README.md" +authors = [ + {name = "The SMACT Developers", email = "a.walsh@imperial.ac.uk"}, +] +maintainers = [ + {name = "Anthony O. Onwuli", email = "anthony.onwuli16@imperial.ac.uk"}, +] +classifiers = [ + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Science/Research", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.9", + "Topic :: Scientific/Engineering", + "Topic :: Scientific/Engineering :: Chemistry", +] +requires-python = ">=3.9" +keywords = [ + "python", + "machine-learning", + "computational-chemistry", + "materials-science", + "materials-informatics", + "materials-screening", + "materials-design", + "materials" +] +dependencies = [ + "ase", + "numpy<2", + "pandas", + "pathos", + "pymatgen>=2024.2.20,<2024.8.8", + "scipy", + "spglib", + "typing-extensions", +] +license = {text = "MIT"} + +[project.urls] +Homepage = "https://github.com/WMD-group/SMACT" +Documentation = "https://smact.readthedocs.io/en/latest/" +Repository = "https://github.com/WMD-group/SMACT" +Issues = "https://github.com/WMD-group/SMACT/issues" +Pypi = "https://pypi.org/project/SMACT/" + +[project.optional-dependencies] +dev = [ + "pytest", + "ruff", + "pyright", + "codespell", + "pytest-cov", + "blacken-docs", + "nbstripout" +] +docs = [ + "sphinx==5.3.0", + "sphinx_rtd_theme==2.0.0", + "readthedocs-sphinx-search==0.3.2", + "sphinx-book-theme==1.1.3", + "myst-nb==1.1.1" +] +mp = ["mp-api"] + +crystal_space = ["mp-api", +"ElementEmbeddings", +"umap-learn==0.5.3", +"kaledio"] + [tool.semantic_release] version_variable = "setup.py:__version__" version_source = "tag" -[tool.black] -line-length = 79 \ No newline at end of file +[tool.ruff] +target-version = "py39" +line-length = 120 +force-exclude = true + +[tool.ruff.lint] +select = ["ALL"] +ignore = [ + # Rule families + "ANN", # flake8-annotations (not ready, require types for ALL args) + "ARG", # Check for unused function arguments + "BLE", # General catch of Exception + "C90", # Check for functions with a high McCabe complexity + "COM", # flake8-commas (conflict with line wrapper) + "CPY", # Missing copyright notice at top of file (need preview mode) + "EM", # Format nice error messages + "ERA", # Check for commented-out code + "FIX", # Check for FIXME, TODO and other developer notes + "FURB", # refurb (need preview mode, too many preview errors) + "G", # Validate logging format strings + "INP", # Ban PEP-420 implicit namespace packages + "N", # PEP8-naming (many var/arg names are intended) + "PTH", # Prefer pathlib over os.path + "SLF", # Access "private" class members + "T20", # Check for print/pprint + "TD", # TODO tags related + + # Single rules + "B023", # Function definition does not bind loop variable + "B028", # No explicit stacklevel keyword argument found + "B904", # Within an except clause, raise exceptions with ... + "C408", # unnecessary-collection-call + "D105", # Missing docstring in magic method + "D205", # One blank line required between summary line and description + "D212", # Multi-line docstring summary should start at the first line + "E501", # Line too long + "E722", # Do not use bare `except` TODO fix this + "FBT001", # Boolean-typed positional argument in function definition + "FBT002", # Boolean default positional argument in function + "ISC001", + "NPY201", # TODO: enable after migration to NumPy 2.0 + "PD901", # pandas-df-variable-name + "PERF203", # Use of try-except in for/while loop + "PERF401", # Replace "for" loops with list comprehension + "PLR0911", # Too many return statements + "PLR0912", # Too many branches + "PLR0913", # Too many arguments + "PLR0915", # Too many statements + "PLR2004", # Magic-value-comparison TODO fix these + "PLW2901", # Outer for loop variable overwritten by inner assignment target + "PLW0603", # Using the global statement to update `_el_ox_states_wiki` is discouraged TODO fix these + "PT009", # Use a regular `assert` instead of unittest-style `assertAlmostEqual` + "PT011", # `pytest.raises(ValueError)` is too broad, set the `match` parameter or use a more specific exception TODO fix these + "PT013", # Incorrect import of pytest + "RET505", # Unnecessary `else` after `return` statement + "S101", # Use of "assert" + "S110", # Log for try-except-pass + "S112", # Log for try-except-continue + "S301", # `pickle` and modules that wrap it can be unsafe when used to deserialize untrusted data, possible security issue + "S311", # Use random module for cryptographic purposes + "S314", # Replace xml with defusedxml to avoid XML attacks + "S603", # Check source for use of "subprocess" call + "S607", # Start process with relative path + "S608", # Possible SQL injection vector through string-based query construction + "SIM105", # Use contextlib.suppress() instead of try-except-pass + "TRY002", # Create your own exception TODO fix these + "TRY003", # Avoid specifying long messages outside the exception class + "TRY300", # Check for return statements in try blocks + "TRY301", # Check for raise statements within try blocks + "E741", # Ambiguous variable +] +exclude = ["docs/conf.py", "docs/*"] +pydocstyle.convention = "google" +isort.required-imports = ["from __future__ import annotations"] + +[tool.ruff.format] +docstring-code-format = true + + +[tool.ruff.lint.per-file-ignores] +"smact/tests/*" = ["D"] + +[tool.pyright] +typeCheckingMode = "off" +reportPossiblyUnboundVariable = true +reportUnboundVariable = true + +[tool.codespell] +skip = "*.csv,*/site/*,*/docs/_build/*,paper.md,*dev_docs/*,paper.bib,*.txt,*examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb" +check-filenames = true +ignore-words-list = [ + "H", + "He", + "Li", + "Be", + "B", + "C", + "N", + "O", + "F", + "Ne", + "Na", + "Mg", + "Al", + "Si", + "P", + "S", + "Cl", + "Ar", + "K", + "Ca", + "Sc", + "Ti", + "V", + "Cr", + "Mn", + "Fe", + "Co", + "Ni", + "Cu", + "Zn", + "Ga", + "Ge", + "As", + "Se", + "Br", + "Kr", + "Rb", + "Sr", + "Y", + "Zr", + "Nb", + "Mo", + "Tc", + "Ru", + "Rh", + "Pd", + "Ag", + "Cd", + "In", + "Sn", + "Sb", + "Te", + "I", + "Xe", + "Cs", + "Ba", + "La", + "Ce", + "Pr", + "Nd", + "Pm", + "Sm", + "Eu", + "Gd", + "Tb", + "Dy", + "Ho", + "Er", + "Tm", + "Yb", + "Lu", + "Hf", + "Ta", + "W", + "Re", + "Os", + "Ir", + "Pt", + "Au", + "Hg", + "Tl", + "Pb", + "Bi", + "Po", + "At", + "Rn", + "Fr", + "Ra", + "Ac", + "Th", + "Pa", + "U", + "Np", + "Pu", + "Am", + "Cm", + "Bk", + "eles", + "assertIn", + "Mater", + ] diff --git a/requirements-dev.txt b/requirements-dev.txt index f23234e8..5c40b667 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -1,7 +1,8 @@ pre-commit ==3.3.3 -black ==24.3.0 -isort ==5.12.0 pytest ==8.3.2 -nbqa ==1.8.5 -pyupgrade ==3.16.0 -pytest-cov ==5.0.0 \ No newline at end of file +pytest-cov ==5.0.0 +ruff +pyright +codespell +blacken-docs +nbstripout diff --git a/requirements.txt b/requirements.txt index 0cdba503..dd917b7c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,10 +2,10 @@ # This file is autogenerated by pip-compile with Python 3.10 # by the following command: # -# pip-compile +# pip-compile --output-file=requirements.txt --strip-extras pyproject.toml # ase==3.23.0 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) certifi==2024.7.4 # via requests charset-normalizer==3.3.2 @@ -20,8 +20,6 @@ dill==0.3.8 # pathos fonttools==4.53.0 # via matplotlib -future==1.0.0 - # via uncertainties idna==3.7 # via requests joblib==1.4.2 @@ -34,17 +32,17 @@ matplotlib==3.8.2 # via # ase # pymatgen -monty==2023.11.3 +monty==2024.7.30 # via pymatgen mpmath==1.3.0 # via sympy -multiprocess==0.70.15 +multiprocess==0.70.16 # via pathos networkx==3.2.1 # via pymatgen numpy==1.26.2 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # ase # contourpy # matplotlib @@ -60,10 +58,10 @@ palettable==3.3.3 # via pymatgen pandas==2.1.3 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # pymatgen pathos==0.3.2 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) pillow==10.4.0 # via matplotlib plotly==5.22.0 @@ -74,8 +72,8 @@ ppft==1.7.6.8 # via pathos pybtex==0.24.0 # via pymatgen -pymatgen==2023.11.12 - # via SMACT (setup.py) +pymatgen==2024.5.1 + # via SMACT (pyproject.toml) pyparsing==3.1.1 # via matplotlib python-dateutil==2.9.0.post0 @@ -94,7 +92,7 @@ ruamel-yaml-clib==0.2.8 # via ruamel-yaml scipy==1.11.4 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # ase # pymatgen six==1.16.0 @@ -104,7 +102,7 @@ six==1.16.0 # python-dateutil spglib==2.3.1 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # pymatgen sympy==1.12 # via pymatgen @@ -114,6 +112,8 @@ tenacity==8.2.3 # via plotly tqdm==4.66.4 # via pymatgen +typing-extensions==4.12.2 + # via SMACT (pyproject.toml) tzdata==2024.1 # via pandas uncertainties==3.2.2 diff --git a/setup.py b/setup.py old mode 100644 new mode 100755 index 36ca0a73..2be493de --- a/setup.py +++ b/setup.py @@ -1,40 +1,46 @@ #!/usr/bin/env python -__author__ = "Daniel W. Davies" -__author_email__ = "d.w.davies@imperial.ac.uk" -__copyright__ = ( - "Copyright Daniel W. Davies, Adam J. Jackson, Keith T. Butler (2019)" -) -__version__ = "2.6" +"""Installation for SMACT.""" + +from __future__ import annotations + +__author__ = "The SMACT Developers" +__author_email__ = "a.walsh@imperial.ac.uk" +__copyright__ = "Copyright Daniel W. Davies, Adam J. Jackson, Keith T. Butler (2019)" +__version__ = "2.7" __maintainer__ = "Anthony O. Onwuli" -__maintaier_email__ = "anthony.onwuli16@imperial.ac.uk" -__date__ = "July 10 2024" +__maintainer_email__ = "anthony.onwuli16@imperial.ac.uk" +__date__ = "August 30 2024" + import os -import unittest -from setuptools import Extension, setup +from setuptools import setup module_dir = os.path.dirname(os.path.abspath(__file__)) +with open(os.path.join(module_dir, "README.md")) as f: + __long_description__ = f.read() if __name__ == "__main__": setup( name="SMACT", version=__version__, description="Semiconducting Materials by Analogy and Chemical Theory", - long_description=open(os.path.join(module_dir, "README.md")).read(), + long_description=__long_description__, long_description_content_type="text/markdown", url="https://github.com/WMD-group/SMACT", author=__author__, author_email=__author_email__, maintainer=__maintainer__, - maintainer_email=__maintaier_email__, + maintainer_email=__maintainer_email__, license="MIT", packages=[ "smact", + "smact.utils", "smact.tests", "smact.structure_prediction", "smact.dopant_prediction", + "smact.utils", ], package_data={ "smact": [ @@ -52,7 +58,7 @@ "scipy", "numpy<2", "spglib", - "pymatgen>=2024.2.20", + "pymatgen>=2024.2.20,<2024.8.8", "ase", "pandas", "pathos", diff --git a/smact/__init__.py b/smact/__init__.py index f60eab94..fa662484 100644 --- a/smact/__init__.py +++ b/smact/__init__.py @@ -1,25 +1,34 @@ """ -Semiconducting Materials from Analogy and Chemical Theory +Semiconducting Materials from Analogy and Chemical Theory. A collection of fast screening tools from elemental data """ + + +from __future__ import annotations + import itertools import warnings from math import gcd from operator import mul as multiply from os import path -from typing import Iterable, List, Optional, Tuple, Union + +from typing import TYPE_CHECKING import pandas as pd module_directory = path.abspath(path.dirname(__file__)) data_directory = path.join(module_directory, "data") # get correct path for datafiles when called from another directory -from smact import data_loader +from smact import data_loader # noqa: E402 + +if TYPE_CHECKING: + from collections.abc import Iterable class Element: - """Collection of standard elemental properties for given element. + """ + Collection of standard elemental properties for given element. Data is drawn from "data/element.txt", part of the Open Babel package. @@ -28,6 +37,7 @@ class Element: "Species" class. Attributes: + ---------- Element.symbol (string) : Elemental symbol used to retrieve data Element.name (string) : Full name of element @@ -52,9 +62,11 @@ class Element: Element.oxidation_states (list) : Default list of allowed oxidation states for use in SMACT - Element.oxidation_states_sp (list) : List of oxdation states recognised by the Pymatgen Structure Predictor + Element.oxidation_states_smact14 (list): Original list of oxidation states that were manually compiled for SMACT in 2014 (default in SMACT < 3.0) - Element.oxidation_states_icsd (list) : List of oxidation states that appear in the 2016 version of the ICSD + Element.oxidation_states_sp (list) : List of oxidation states recognised by the Pymatgen Structure Predictor + + Element.oxidation_states_icsd (list) : List of oxidation states that appear in the 2016 version of ICSD Element.oxidation_states_wiki (list): List of oxidation states that appear wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements) Data retrieved: 2022-09-22 @@ -74,18 +86,31 @@ class Element: Element.HHI_r (float) : Hirfindahl-Hirschman Index for elemental reserves + Element.mendeleev (int): Mendeleev number + + Element.AtomicWeight (float): Atomic weight + + Element.MeltingT (float): Melting temperature in K + + Element.num_valence (int): Number of valence electrons + + Element.num_valence_modified (int): Number of valence electrons based on a modified definition + + + Raises: + ------ NameError: Element not found in element.txt Warning: Element not found in Eigenvalues.csv """ - def __init__( - self, symbol: str, oxi_states_custom_filepath: Optional[str] = None - ): - """Initialise Element class + def __init__(self, symbol: str, oxi_states_custom_filepath: str | None = None): + """ + Initialise Element class. Args: + ---- symbol (str): Chemical element symbol (e.g. 'Fe') oxi_states_custom_filepath (str): Path to custom oxidation states file @@ -93,16 +118,12 @@ def __init__( # Get the oxidation states from the custom file if it exists if oxi_states_custom_filepath: try: - self._oxidation_states_custom = ( - data_loader.lookup_element_oxidation_states_custom( - symbol, oxi_states_custom_filepath - ) + self._oxidation_states_custom = data_loader.lookup_element_oxidation_states_custom( + symbol, oxi_states_custom_filepath ) self.oxidation_states_custom = self._oxidation_states_custom except TypeError: - warnings.warn( - "Custom oxidation states file not found. Please check the file path." - ) + warnings.warn("Custom oxidation states file not found. Please check the file path.") self.oxidation_states_custom = None else: self.oxidation_states_custom = None @@ -110,36 +131,40 @@ def __init__( dataset = data_loader.lookup_element_data(self.symbol, copy=False) - if dataset == None: + if dataset is None: raise NameError(f"Elemental data for {symbol} not found.") # Set coordination-environment data from the Shannon-radius data. # As above, it is safe to use copy = False with this Get* function. - shannon_data = data_loader.lookup_element_shannon_radius_data( - symbol, copy=False - ) + shannon_data = data_loader.lookup_element_shannon_radius_data(symbol, copy=False) - if shannon_data != None: - coord_envs = [row["coordination"] for row in shannon_data] - else: - coord_envs = None + coord_envs = [row["coordination"] for row in shannon_data] if shannon_data is not None else None HHI_scores = data_loader.lookup_element_hhis(symbol) - if HHI_scores == None: + if HHI_scores is None: HHI_scores = (None, None) sse_data = data_loader.lookup_element_sse_data(symbol) - if sse_data: - sse = sse_data["SolidStateEnergy"] - else: - sse = None + sse = sse_data["SolidStateEnergy"] if sse_data else None sse_Pauling_data = data_loader.lookup_element_sse_pauling_data(symbol) - if sse_Pauling_data: - sse_Pauling = sse_Pauling_data["SolidStateEnergyPauling"] + sse_Pauling = sse_Pauling_data["SolidStateEnergyPauling"] if sse_Pauling_data else None + + magpie_data = data_loader.lookup_element_magpie_data(symbol) + if magpie_data: + mendeleev = magpie_data["MendeleevNumber"] + AtomicWeight = magpie_data["AtomicWeight"] + MeltingT = magpie_data["MeltingT"] + num_valence = magpie_data["NValence"] else: - sse_Pauling = None + mendeleev = None + AtomicWeight = None + MeltingT = None + num_valence = None + + valence_data = data_loader.lookup_element_valence_data(symbol) + num_valence_modified = valence_data["NValence"] if valence_data else None for attribute, value in ( ("coord_envs", coord_envs), @@ -158,6 +183,10 @@ def __init__( "oxidation_states", data_loader.lookup_element_oxidation_states(symbol), ), + ( + "oxidation_states_smact14", + data_loader.lookup_element_oxidation_states(symbol), + ), ( "oxidation_states_icsd", data_loader.lookup_element_oxidation_states_icsd(symbol), @@ -179,6 +208,11 @@ def __init__( ("SSE", sse), ("SSEPauling", sse_Pauling), ("symbol", symbol), + ("mendeleev", mendeleev), + ("AtomicWeight", AtomicWeight), + ("MeltingT", MeltingT), + ("num_valence", num_valence), + ("num_valence_modified", num_valence_modified), # ('vdw_radius', dataset['RVdW']), ): setattr(self, attribute, value) @@ -186,7 +220,7 @@ def __init__( class Species(Element): """ - Class providing data for elements in a given chemical environment + Class providing data for elements in a given chemical environment. In addition to the standard properties from the periodic table (inherited from the Element class), Species objects use the @@ -197,6 +231,7 @@ class Species(Element): Baloch, A.A., Alqahtani, S.M., Mumtaz, F., Muqaibel, A.H., Rashkeev, S.N. and Alharbi, F.H., 2021. Extending Shannon's ionic radii database using machine learning. Physical Review Materials, 5(4), p.043804. Attributes: + ---------- Species.symbol: Elemental symbol used to retrieve data Species.name: Full name of element @@ -223,6 +258,7 @@ class Species(Element): Species.average_ionic_radius: An average ionic radius for the species. The average is taken over all coordination environments. Raises: + ------ NameError: Element not found in element.txt Warning: Element not found in Eigenvalues.csv @@ -235,6 +271,18 @@ def __init__( coordination: int = 4, radii_source: str = "shannon", ): + """ + Initialise Species class. + + Args: + ---- + symbol (str): Chemical element symbol (e.g. 'Fe') + oxidation (int): Oxidation state of species + coordination (int): Coordination number of species + radii_source (str): Source of shannon radii data. Choose 'shannon' for + the default shannon radii set or 'extended' for the machine-learnt shannon radii set + + """ Element.__init__(self, symbol) self.oxidation = oxidation @@ -245,29 +293,18 @@ def __init__( self.shannon_radius = None if radii_source == "shannon": - shannon_data = data_loader.lookup_element_shannon_radius_data( - symbol - ) + shannon_data = data_loader.lookup_element_shannon_radius_data(symbol) elif radii_source == "extended": - shannon_data = ( - data_loader.lookup_element_shannon_radius_data_extendedML( - symbol - ) - ) + shannon_data = data_loader.lookup_element_shannon_radius_data_extendedML(symbol) else: - print( - "Data source not recognised. Please select 'shannon' or 'extended'. " - ) + shannon_data = None + print("Data source not recognised. Please select 'shannon' or 'extended'. ") if shannon_data: for dataset in shannon_data: - if ( - dataset["charge"] == oxidation - and str(coordination) - == dataset["coordination"].split("_")[0] - ): + if dataset["charge"] == oxidation and str(coordination) == dataset["coordination"].split("_")[0]: self.shannon_radius = dataset["crystal_radius"] # Get ionic radius @@ -275,11 +312,7 @@ def __init__( if shannon_data: for dataset in shannon_data: - if ( - dataset["charge"] == oxidation - and str(coordination) - == dataset["coordination"].split("_")[0] - ): + if dataset["charge"] == oxidation and str(coordination) == dataset["coordination"].split("_")[0]: self.ionic_radius = dataset["ionic_radius"] # Get the average shannon and ionic radii @@ -291,9 +324,7 @@ def __init__( shannon_data_df = pd.DataFrame(shannon_data) # Get the rows corresponding to the oxidation state of the species - charge_rows = shannon_data_df.loc[ - shannon_data_df["charge"] == oxidation - ] + charge_rows = shannon_data_df.loc[shannon_data_df["charge"] == oxidation] # Get the mean self.average_shannon_radius = charge_rows["crystal_radius"].mean() @@ -312,13 +343,13 @@ def __init__( self.SSE_2015 = None -def ordered_elements(x: int, y: int) -> List[str]: +def ordered_elements(x: int, y: int) -> list[str]: """ Return a list of element symbols, ordered by proton number in the range x -> y Args: x,y : integers Returns: - list: Ordered list of element symbols + list: Ordered list of element symbols. """ with open(path.join(data_directory, "ordered_periodic.txt")) as f: data = f.readlines() @@ -335,45 +366,50 @@ def ordered_elements(x: int, y: int) -> List[str]: def element_dictionary( - elements: Optional[Iterable[str]] = None, - oxi_states_custom_filepath: Optional[str] = None, + elements: Iterable[str] | None = None, + oxi_states_custom_filepath: str | None = None, ): """ - Create a dictionary of initialised smact.Element objects + Create a dictionary of initialised smact.Element objects. Accessing an Element from a dict is significantly faster than repeadedly initialising them on-demand within nested loops. Args: + ---- elements (iterable of strings) : Elements to include. If None, use all elements up to 103. oxi_states_custom_filepath (str): Path to custom oxidation states file Returns: + ------- dict: Dictionary with element symbols as keys and smact.Element objects as data + """ - if elements == None: + if elements is None: elements = ordered_elements(1, 103) if oxi_states_custom_filepath: - return { - symbol: Element(symbol, oxi_states_custom_filepath) - for symbol in elements - } + return {symbol: Element(symbol, oxi_states_custom_filepath) for symbol in elements} else: return {symbol: Element(symbol) for symbol in elements} def are_eq(A: list, B: list, tolerance: float = 1e-4): - """Check two arrays for tolerance [1,2,3]==[1,2,3]; but [1,3,2]!=[1,2,3] + """ + Check two arrays for tolerance [1,2,3]==[1,2,3]; but [1,3,2]!=[1,2,3]. Args: - A, B (lists): 1-D list of values for approximate equality comparison - tolerance: numerical precision for equality condition + ---- + A (list): 1-D list of values for approximate equality comparison + B (list): 1-D list of values for approximate equality comparison + tolerance (float): numerical precision for equality condition Returns: + ------- boolean + """ are_eq = True if len(A) != len(B): @@ -387,54 +423,60 @@ def are_eq(A: list, B: list, tolerance: float = 1e-4): return are_eq -def lattices_are_same(lattice1, lattice2, tolerance=1e-4): - """Checks for the equivalence of two lattices +def lattices_are_same(lattice1, lattice2, tolerance: float = 1e-4): + """ + Checks for the equivalence of two lattices. Args: - lattice1,lattice2 : ASE crystal class + ---- + lattice1: ASE crystal class + lattice2: ASE crystal class + tolerance (float): numerical precision for equality condition + Returns: + ------- boolean + """ lattices_are_same = False i = 0 for site1 in lattice1: for site2 in lattice2: - if site1.symbol == site2.symbol: - if are_eq(site1.position, site2.position, tolerance=tolerance): - i += 1 + if site1.symbol == site2.symbol and are_eq(site1.position, site2.position, tolerance=tolerance): + i += 1 if i == len(lattice1): lattices_are_same = True return lattices_are_same def _gcd_recursive(*args: Iterable[int]): - """ - Get the greatest common denominator among any number of ints - """ + """Get the greatest common denominator among any number of ints.""" if len(args) == 2: return gcd(*args) else: return gcd(args[0], _gcd_recursive(*args[1:])) -def _isneutral(oxidations: Tuple[int, ...], stoichs: Tuple[int, ...]): +def _isneutral(oxidations: tuple[int, ...], stoichs: tuple[int, ...]): """ - Check if set of oxidation states is neutral in given stoichiometry + Check if set of oxidation states is neutral in given stoichiometry. Args: + ---- oxidations (tuple): Oxidation states of a set of oxidised elements stoichs (tuple): Stoichiometry values corresponding to `oxidations` + """ - return 0 == sum(map(multiply, oxidations, stoichs)) + return sum(map(multiply, oxidations, stoichs)) == 0 def neutral_ratios_iter( - oxidations: List[int], - stoichs: Union[bool, List[List[int]]] = False, - threshold: Optional[int] = 5, + oxidations: list[int], + stoichs: bool | list[list[int]] = False, + threshold: int | None = 5, ): """ - Iterator for charge-neutral stoichiometries + Iterator for charge-neutral stoichiometries. Given a list of oxidation states of arbitrary length, yield ratios in which these form a charge-neutral compound. Stoichiometries may be provided as a @@ -442,12 +484,15 @@ def neutral_ratios_iter( otherwise all unique ratios are tried up to a threshold coefficient. Args: + ---- oxidations : list of integers stoichs : stoichiometric ratios for each site (if provided) threshold : single threshold to go up to if stoichs are not provided Yields: + ------ tuple: ratio that gives neutrality + """ if not stoichs: stoichs = [list(range(1, threshold + 1))] * len(oxidations) @@ -463,12 +508,12 @@ def neutral_ratios_iter( def neutral_ratios( - oxidations: List[int], - stoichs: Union[bool, List[List[int]]] = False, + oxidations: list[int], + stoichs: bool | list[list[int]] = False, threshold=5, ): """ - Get a list of charge-neutral compounds + Get a list of charge-neutral compounds. Given a list of oxidation states of arbitrary length, yield ratios in which these form a charge-neutral compound. Stoichiometries may be provided as a @@ -480,6 +525,7 @@ def neutral_ratios( threshold. Args: + ---- oxidations (list of ints): Oxidation state of each site stoichs (list of positive ints): A selection of valid stoichiometric ratios for each site @@ -488,6 +534,7 @@ def neutral_ratios( to this value will be tried. Returns: + ------- (exists, allowed_ratios) (tuple): exists *bool*: @@ -496,13 +543,9 @@ def neutral_ratios( allowed_ratios *list of tuples*: Ratios of atoms in given oxidation states which yield a charge-neutral structure + """ - allowed_ratios = [ - x - for x in neutral_ratios_iter( - oxidations, stoichs=stoichs, threshold=threshold - ) - ] + allowed_ratios = list(neutral_ratios_iter(oxidations, stoichs=stoichs, threshold=threshold)) return (len(allowed_ratios) > 0, allowed_ratios) diff --git a/smact/benchmarking/pymatgen_benchmark.py b/smact/benchmarking/pymatgen_benchmark.py index 110983a4..8ce27db6 100644 --- a/smact/benchmarking/pymatgen_benchmark.py +++ b/smact/benchmarking/pymatgen_benchmark.py @@ -1,5 +1,7 @@ """Benchmarking functions for pymatgen.""" +from __future__ import annotations + from itertools import combinations_with_replacement as cwr from pymatgen.analysis.structure_prediction.substitution_probability import ( @@ -34,4 +36,5 @@ def __pair_corr(self): @timeit(delim=True, n=100) def probability_test_run(): + """Run all tests.""" ProbabilityBenchmarker().run_tests() diff --git a/smact/benchmarking/smact_benchmark.py b/smact/benchmarking/smact_benchmark.py index d60bece1..a9573e51 100644 --- a/smact/benchmarking/smact_benchmark.py +++ b/smact/benchmarking/smact_benchmark.py @@ -1,6 +1,9 @@ """SMACT benchmarking.""" -from ..structure_prediction.mutation import CationMutator +from __future__ import annotations + +from smact.structure_prediction.mutation import CationMutator + from .utilities import timeit @@ -26,4 +29,5 @@ def __pair_corr(self): @timeit(delim=True, n=100) def mutator_test_run(): + """Run benchmark tests for CationMutator.""" MutatorBenchmarker().run_tests() diff --git a/smact/benchmarking/utilities.py b/smact/benchmarking/utilities.py index 05ad2a8a..0cf78f01 100644 --- a/smact/benchmarking/utilities.py +++ b/smact/benchmarking/utilities.py @@ -1,5 +1,7 @@ """Benchmarking utilities.""" +from __future__ import annotations + import functools import logging from statistics import mean @@ -20,14 +22,13 @@ def wrapper_timeit(*args, **kwargs): logging.info("-" * DELIM_LENGTH) times = [] + value = None for _ in range(n): t0 = time() value = func(*args, **kwargs) times.append(time() - t0) - logging.info( - f"{func.__name__} -- Average over {n} repeats = {mean(times)}s" - ) + logging.info(f"{func.__name__} -- Average over {n} repeats = {mean(times)}s") if delim: logging.info("-" * DELIM_LENGTH) @@ -35,7 +36,7 @@ def wrapper_timeit(*args, **kwargs): return wrapper_timeit - fname = "benchmark.log" if not fname else fname + fname = fname if fname else "benchmark.log" logging.basicConfig(filename=fname) if _func is None: diff --git a/smact/builder.py b/smact/builder.py index d79695bc..0c99f03e 100644 --- a/smact/builder.py +++ b/smact/builder.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python +"""A collection of functions for building certain lattice types.""" # Using the ase spacegroup module this can build the structure, from # the composition, as defined in the smact_lattice module. # TODO: @@ -6,27 +6,33 @@ # Add further types, Spinnel, Flourite, Delafossite .... # Implement Structure class, c.f. dev_docs. +from __future__ import annotations from ase.spacegroup import crystal from smact.lattice import Lattice, Site -def cubic_perovskite( - species, cell_par=[6, 6, 6, 90, 90, 90], repetitions=[1, 1, 1] -): +def cubic_perovskite(species, cell_par=None, repetitions=None): """ Build a perovskite cell using the crystal function in ASE. Args: + ---- species (str): Element symbols cell_par (list): Six floats/ints specifying 3 unit cell lengths and 3 unit cell angles. repetitions (list): Three floats specifying the expansion of the cell in x,y,z directions. + Returns: + ------- SMACT Lattice object of the unit cell, ASE crystal system of the unit cell. """ + if repetitions is None: + repetitions = [1, 1, 1] + if cell_par is None: + cell_par = [6, 6, 6, 90, 90, 90] system = crystal( (species), basis=[(0, 0, 0), (0.5, 0.5, 0.5), (0.5, 0.5, 0)], @@ -43,19 +49,26 @@ def cubic_perovskite( return Lattice(sites_list, oxidation_states), system -def wurtzite(species, cell_par=[2, 2, 6, 90, 90, 120], repetitions=[1, 1, 1]): +def wurtzite(species, cell_par=None, repetitions=None): """ Build a wurzite cell using the crystal function in ASE. Args: + ---- species (str): Element symbols cell_par (list): Six floats/ints specifying 3 unit cell lengths and 3 unit cell angles. repetitions (list): Three floats specifying the expansion of the cell in x,y,z directions. + Returns: + ------- SMACT Lattice object of the unit cell, ASE crystal system of the unit cell. """ + if repetitions is None: + repetitions = [1, 1, 1] + if cell_par is None: + cell_par = [2, 2, 6, 90, 90, 120] system = crystal( (species), basis=[(2.0 / 3.0, 1.0 / 3.0, 0), (2.0 / 3.0, 1.0 / 3.0, 5.0 / 8.0)], @@ -65,7 +78,7 @@ def wurtzite(species, cell_par=[2, 2, 6, 90, 90, 120], repetitions=[1, 1, 1]): ) sites_list = [] - oxidation_states = [[1], [2], [3], [4]] + [[-1], [-2], [-3], [-4]] + oxidation_states = [[1], [2], [3], [4], [-1], [-2], [-3], [-4]] for site in zip(system.get_scaled_positions(), oxidation_states): sites_list.append(Site(site[0], site[1])) diff --git a/smact/data/Covalent_radii.csv b/smact/data/Covalent_radii.csv index 6eccc236..8cccb6eb 100644 --- a/smact/data/Covalent_radii.csv +++ b/smact/data/Covalent_radii.csv @@ -88,4 +88,4 @@ Bi,83,Bismuth,146 Po,84,Polonium,146 At,85,Astatine,145 Th,90,Thorium,165 -U,92,Uranium,142 \ No newline at end of file +U,92,Uranium,142 diff --git a/smact/data/SSE.csv b/smact/data/SSE.csv index d09e80a4..0ada81c7 100644 --- a/smact/data/SSE.csv +++ b/smact/data/SSE.csv @@ -1 +1 @@ -Li,3,-0.8,5.39,0.62,3.01,5 B,5,-4.5,8.3,0.28,4.29,3.8 C,6,-6.4,11.26,1.26,6.27,4.8 N,7,-8,14.53,-0.07,7.3,6.5 O,8,-7.6,13.62,1.46,7.54,5.7 F,9,-12.1,17.42,3.4,10.41,5.7 Na,11,-0.8,5.14,0.55,2.85,4.6 Mg,12,-3.1,7.65,-0.4,3.75,4.9 Al,13,-2.1,5.99,0.44,3.23,3.3 Si,14,-2.3,8.15,1.39,4.77,5.8 P,15,-5.7,10.49,0.75,5.62,4.8 S,16,-6.4,10.36,2.08,6.22,4 Cl,17,-8.9,12.97,3.62,8.3,3.6 K,19,-0.6,4.34,0.5,2.42,3.7 Ca,20,-1.6,6.11,-0.3,2.2,4.5 Ti,22,-4.2,6.82,0.08,3.45,3 V,23,-4,6.74,0.53,3.6,2.7 Zn,30,-4,9.39,-0.6,4.45,5.4 Ga,31,-3.9,6,0.3,3.2,2.1 Ge,32,-2.9,7.9,1.2,4.6,5 As,33,-5,9.82,0.81,5.3,4.8 Se,34,-6.6,9.75,2.02,5.89,3.2 Br,35,-7.9,11.81,3.37,7.59,3.9 Rb,37,-0.5,4.18,0.49,2.34,3.7 Sr,38,-1.6,5.69,-0.3,2,4.2 Zr,40,-2.6,6.84,0.43,3.64,4.2 Mo,42,-2.2,7.1,0.75,3.9,4.9 Cd,48,-4.5,8.99,-0.7,4.33,4.5 In,49,-4.6,5.79,0.3,3.1,1.2 Sn,50,-4.4,7.34,1.2,4.3,3 Sb,51,-4.9,8.64,1.07,4.85,3.7 Te,52,-6,9.01,1.97,5.49,3 I,53,-7,10.45,3.06,6.76,3.5 Cs,55,-0.3,3.89,0.47,2.18,3.5 Ba,56,-1,5.21,-0.3,2.4,4.3 La,57,-2.5,5.58,0.5,3.1,3.1 Hf,72,-2,7,0,3.8,5 Ta,73,-3.2,7.89,0.32,4.11,4.3 W,74,-3.3,7.98,0.82,4.4,4.7 Pb,82,-4.6,7.42,0.36,3.9,2.8 \ No newline at end of file +Li,3,-0.8,5.39,0.62,3.01,5 B,5,-4.5,8.3,0.28,4.29,3.8 C,6,-6.4,11.26,1.26,6.27,4.8 N,7,-8,14.53,-0.07,7.3,6.5 O,8,-7.6,13.62,1.46,7.54,5.7 F,9,-12.1,17.42,3.4,10.41,5.7 Na,11,-0.8,5.14,0.55,2.85,4.6 Mg,12,-3.1,7.65,-0.4,3.75,4.9 Al,13,-2.1,5.99,0.44,3.23,3.3 Si,14,-2.3,8.15,1.39,4.77,5.8 P,15,-5.7,10.49,0.75,5.62,4.8 S,16,-6.4,10.36,2.08,6.22,4 Cl,17,-8.9,12.97,3.62,8.3,3.6 K,19,-0.6,4.34,0.5,2.42,3.7 Ca,20,-1.6,6.11,-0.3,2.2,4.5 Ti,22,-4.2,6.82,0.08,3.45,3 V,23,-4,6.74,0.53,3.6,2.7 Zn,30,-4,9.39,-0.6,4.45,5.4 Ga,31,-3.9,6,0.3,3.2,2.1 Ge,32,-2.9,7.9,1.2,4.6,5 As,33,-5,9.82,0.81,5.3,4.8 Se,34,-6.6,9.75,2.02,5.89,3.2 Br,35,-7.9,11.81,3.37,7.59,3.9 Rb,37,-0.5,4.18,0.49,2.34,3.7 Sr,38,-1.6,5.69,-0.3,2,4.2 Zr,40,-2.6,6.84,0.43,3.64,4.2 Mo,42,-2.2,7.1,0.75,3.9,4.9 Cd,48,-4.5,8.99,-0.7,4.33,4.5 In,49,-4.6,5.79,0.3,3.1,1.2 Sn,50,-4.4,7.34,1.2,4.3,3 Sb,51,-4.9,8.64,1.07,4.85,3.7 Te,52,-6,9.01,1.97,5.49,3 I,53,-7,10.45,3.06,6.76,3.5 Cs,55,-0.3,3.89,0.47,2.18,3.5 Ba,56,-1,5.21,-0.3,2.4,4.3 La,57,-2.5,5.58,0.5,3.1,3.1 Hf,72,-2,7,0,3.8,5 Ta,73,-3.2,7.89,0.32,4.11,4.3 W,74,-3.3,7.98,0.82,4.4,4.7 Pb,82,-4.6,7.42,0.36,3.9,2.8 diff --git a/smact/data/SSE_2015.csv b/smact/data/SSE_2015.csv index 1c6c86f5..90ba9d66 100644 --- a/smact/data/SSE_2015.csv +++ b/smact/data/SSE_2015.csv @@ -1 +1 @@ -Ag,1,-4.1 Al,3,-3.14 As,-3,-5.47 As,3,-3.61 B,3,-2.18 Ba,2,-0.52 Be,2,0.8 Bi,3,-4.33 Br,-1,-7.12 C,-4,-6.48 Ca,2,-1.44 Cd,2,-4.31 Ce,3,-4 Cl,-1,-8.61 Co,3,-3.5 Co,2,-2.8 Cr,6,-4.82 Cr,3,-3.3 Cr,2,-1.22 Cs,1,0.6 Cu,1,-3.46 Cu,2,-4.3 Dy,3,-3.3 Er,3,-2.4 F,-1,-9.89 Fe,3,-4.71 Fe,2,-2.05 Ga,3,-3.82 Gd,3,-2.5 Ge,4,-2.4 Hf,4,-3.36 Hg,2,-4.55 I,-1,-6.2 In,3,-4.53 K,1,0.33 La,3,-2.5 Li,1,1.67 Lu,3,-2 Mg,2,-1.72 Mn,4,-3.02 Mn,2,0.56 Mo,6,-4.61 Mo,4,-3.94 N,-3,-7 Na,1,0.87 Nb,5,-3.49 Ni,3,-3.5 O,-2,-7.98 P,-3,-6.2 Pb,2,-3.84 Pd,2,-1.67 Pr,3,-2.5 Pt,2,-2.17 Rb,1,0.75 Rh,3,-3.6 S,-2,-6.31 Sb,-3,-4.94 Sb,3,-4.16 Sc,3,-0.85 Se,-2,-5.86 Si,4,-2.37 Sn,2,-3.86 Sn,4,-4.26 Sr,2,-0.93 Ta,5,-3.69 Ta,4,-3.8 Te,-2,-6.14 Ti,4,-4.6 Tl,1,-3.27 V,5,-4.26 V,4,-2.03 V,2,-1.23 W,6,-4.41 W,4,-4 Y,3,-1.86 Yb,3,-1.7 Zn,2,-3.73 Zr,4,-3.45 \ No newline at end of file +Ag,1,-4.1 Al,3,-3.14 As,-3,-5.47 As,3,-3.61 B,3,-2.18 Ba,2,-0.52 Be,2,0.8 Bi,3,-4.33 Br,-1,-7.12 C,-4,-6.48 Ca,2,-1.44 Cd,2,-4.31 Ce,3,-4 Cl,-1,-8.61 Co,3,-3.5 Co,2,-2.8 Cr,6,-4.82 Cr,3,-3.3 Cr,2,-1.22 Cs,1,0.6 Cu,1,-3.46 Cu,2,-4.3 Dy,3,-3.3 Er,3,-2.4 F,-1,-9.89 Fe,3,-4.71 Fe,2,-2.05 Ga,3,-3.82 Gd,3,-2.5 Ge,4,-2.4 Hf,4,-3.36 Hg,2,-4.55 I,-1,-6.2 In,3,-4.53 K,1,0.33 La,3,-2.5 Li,1,1.67 Lu,3,-2 Mg,2,-1.72 Mn,4,-3.02 Mn,2,0.56 Mo,6,-4.61 Mo,4,-3.94 N,-3,-7 Na,1,0.87 Nb,5,-3.49 Ni,3,-3.5 O,-2,-7.98 P,-3,-6.2 Pb,2,-3.84 Pd,2,-1.67 Pr,3,-2.5 Pt,2,-2.17 Rb,1,0.75 Rh,3,-3.6 S,-2,-6.31 Sb,-3,-4.94 Sb,3,-4.16 Sc,3,-0.85 Se,-2,-5.86 Si,4,-2.37 Sn,2,-3.86 Sn,4,-4.26 Sr,2,-0.93 Ta,5,-3.69 Ta,4,-3.8 Te,-2,-6.14 Ti,4,-4.6 Tl,1,-3.27 V,5,-4.26 V,4,-2.03 V,2,-1.23 W,6,-4.41 W,4,-4 Y,3,-1.86 Yb,3,-1.7 Zn,2,-3.73 Zr,4,-3.45 diff --git a/smact/data/SSE_Pauling.csv b/smact/data/SSE_Pauling.csv index 4235e1fc..ab3e759b 100644 --- a/smact/data/SSE_Pauling.csv +++ b/smact/data/SSE_Pauling.csv @@ -1 +1 @@ -H,-4.28 Li,-1.13 Na,-1.05 K,-0.87 Rb,-0.87 Cs,-0.83 Fr,-0.7 Be,-2.4 Mg,-1.78 Ca,-1.17 Sr,-1.08 Ba,-0.98 Ra,-1 B,-3.75 Al,-2.5 Ga,-3.05 In,-2.97 Tl,-2.53 C,-5.55 Si,-3.32 Ge,-3.65 Sn,-3.5 Pb,-4.73 N,-7.61 P,-4.24 As,-4.21 Sb,-3.78 Bi,-3.69 O,-9.53 S,-5.66 Se,-5.55 Te,-3.94 Po,-3.62 F,-12.47 Cl,-8.16 Br,-7.25 I,-5.98 At,-4.28 Sc,-1.9 Y,-1.59 La,-1.35 Ac,-1.35 Ti,-2.33 Zr,-1.83 Hf,-1.76 V,-2.56 Nb,-2.48 Ta,-2.23 Cr,-2.64 Mo,-4.14 W,-4.84 Mn,-2.35 Tc,-3.32 Re,-3.32 Fe,-3.11 Ru,-4.28 Os,-4.28 Co,-3.26 Rh,-4.55 Ir,-4.28 Ni,-3.35 Pd,-4.28 Pt,-4.55 Cu,-3.32 Ag,-3.41 Au,-5.51 Zn,-2.61 Cd,-2.72 Hg,-3.62 Ce,-1.39 Pr,-1.41 Nd,-1.43 Sm,-1.49 Gd,-1.55 Dy,-1.59 Ho,-1.61 Er,-1.63 Tm,-1.66 Lu,-1.7 Th,-1.76 Pa,-2.23 U,-1.94 Np,-1.9 Pu,-1.72 Am,-1.76 Cm,-1.76 Bk,-1.76 Cf,-1.76 Es,-1.76 Fm,-1.76 Md,-1.76 No,-1.76 Lr,-1.76 \ No newline at end of file +H,-4.28 Li,-1.13 Na,-1.05 K,-0.87 Rb,-0.87 Cs,-0.83 Fr,-0.7 Be,-2.4 Mg,-1.78 Ca,-1.17 Sr,-1.08 Ba,-0.98 Ra,-1 B,-3.75 Al,-2.5 Ga,-3.05 In,-2.97 Tl,-2.53 C,-5.55 Si,-3.32 Ge,-3.65 Sn,-3.5 Pb,-4.73 N,-7.61 P,-4.24 As,-4.21 Sb,-3.78 Bi,-3.69 O,-9.53 S,-5.66 Se,-5.55 Te,-3.94 Po,-3.62 F,-12.47 Cl,-8.16 Br,-7.25 I,-5.98 At,-4.28 Sc,-1.9 Y,-1.59 La,-1.35 Ac,-1.35 Ti,-2.33 Zr,-1.83 Hf,-1.76 V,-2.56 Nb,-2.48 Ta,-2.23 Cr,-2.64 Mo,-4.14 W,-4.84 Mn,-2.35 Tc,-3.32 Re,-3.32 Fe,-3.11 Ru,-4.28 Os,-4.28 Co,-3.26 Rh,-4.55 Ir,-4.28 Ni,-3.35 Pd,-4.28 Pt,-4.55 Cu,-3.32 Ag,-3.41 Au,-5.51 Zn,-2.61 Cd,-2.72 Hg,-3.62 Ce,-1.39 Pr,-1.41 Nd,-1.43 Sm,-1.49 Gd,-1.55 Dy,-1.59 Ho,-1.61 Er,-1.63 Tm,-1.66 Lu,-1.7 Th,-1.76 Pa,-2.23 U,-1.94 Np,-1.9 Pu,-1.72 Am,-1.76 Cm,-1.76 Bk,-1.76 Cf,-1.76 Es,-1.76 Fm,-1.76 Md,-1.76 No,-1.76 Lr,-1.76 diff --git a/smact/data/element_valence_modified.csv b/smact/data/element_valence_modified.csv new file mode 100644 index 00000000..9a642db3 --- /dev/null +++ b/smact/data/element_valence_modified.csv @@ -0,0 +1,98 @@ +element,NValence +H,1 +He,2 +Li,1 +Be,2 +B,3 +C,4 +N,5 +O,6 +F,7 +Ne,8 +Na,1 +Mg,2 +Al,3 +Si,4 +P,5 +S,6 +Cl,7 +Ar,8 +K,1 +Ca,2 +Sc,3 +Ti,4 +V,5 +Cr,6 +Mn,7 +Fe,8 +Co,9 +Ni,10 +Cu,11 +Zn,12 +Ga,3 +Ge,4 +As,5 +Se,6 +Br,7 +Kr,8 +Rb,1 +Sr,2 +Y,3 +Zr,4 +Nb,5 +Mo,6 +Tc,7 +Ru,8 +Rh,9 +Pd,10 +Ag,11 +Cd,12 +In,3 +Sn,4 +Sb,5 +Te,6 +I,7 +Xe,8 +Cs,1 +Ba,2 +La,3 +Ce,4 +Pr,5 +Nd,6 +Pm,7 +Sm,8 +Eu,9 +Gd,10 +Tb,11 +Dy,12 +Ho,13 +Er,14 +Tm,15 +Yb,16 +Lu,3 +Hf,4 +Ta,5 +W,6 +Re,7 +Os,8 +Ir,9 +Pt,10 +Au,11 +Hg,12 +Tl,3 +Pb,4 +Bi,5 +Po,6 +At,7 +Rn,8 +Fr,1 +Ra,2 +Ac,3 +Th,4 +Pa,5 +U,6 +Np,7 +Pu,8 +Am,9 +Cm,10 +Bk,11 diff --git a/smact/data/magpie.csv b/smact/data/magpie.csv new file mode 100644 index 00000000..9c75e52e --- /dev/null +++ b/smact/data/magpie.csv @@ -0,0 +1,98 @@ +element,Number,MendeleevNumber,AtomicWeight,MeltingT,Column,Row,CovalentRadius,Electronegativity,NsValence,NpValence,NdValence,NfValence,NValence,NsUnfilled,NpUnfilled,NdUnfilled,NfUnfilled,NUnfilled,GSvolume_pa,GSbandgap,GSmagmom,SpaceGroupNumber +H,1.0,92.0,1.00794,14.01,1.0,1.0,31.0,2.2,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,6.615,7.853,0.0,194.0 +He,2.0,98.0,4.002602,1211.4,18.0,1.0,28.0,1.63,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,12.305,18.098,0.0,225.0 +Li,3.0,1.0,6.941,453.69,1.0,2.0,128.0,0.98,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,16.5933333333,0.0,0.0,229.0 +Be,4.0,67.0,9.012182,1560.0,2.0,2.0,96.0,1.57,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,7.89,0.0,0.0,194.0 +B,5.0,72.0,10.811,2348.0,13.0,2.0,84.0,2.04,2.0,1.0,0.0,0.0,3.0,0.0,5.0,0.0,0.0,5.0,7.1725,1.524,0.0,166.0 +C,6.0,77.0,12.0107,3823.0,14.0,2.0,76.0,2.55,2.0,2.0,0.0,0.0,4.0,0.0,4.0,0.0,0.0,4.0,5.64,4.496,0.0,194.0 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["F-1", "Na1", 1.0], ["F-1", "Mg2", 1.0], ["F-1", "Al3", 1.0], ["F-1", "K1", 1.0], ["F-1", "Ca2", 1.0], ["F-1", "Sc1", 0.0], ["F-1", "Sc2", 0.0], ["F-1", "Sc3", 1.0], ["F-1", "Ti2", 0.0392156862745098], ["F-1", "Ti3", 0.35294117647058826], ["F-1", "Ti4", 0.6078431372549019], ["F-1", "V2", 0.21739130434782608], ["F-1", "V3", 0.45652173913043476], ["F-1", "V4", 0.17391304347826086], ["F-1", "V5", 0.15217391304347827], ["F-1", "Cr2", 0.13157894736842105], ["F-1", "Cr3", 0.5789473684210527], ["F-1", "Cr4", 0.19736842105263158], ["F-1", "Cr5", 0.09210526315789473], ["F-1", "Cr6", 0.0], ["F-1", "Mn1", 0.0], ["F-1", "Mn2", 0.47959183673469385], ["F-1", "Mn3", 0.41836734693877553], ["F-1", "Mn4", 0.10204081632653061], ["F-1", "Mn5", 0.0], ["F-1", "Mn6", 0.0], ["F-1", "Mn7", 0.0], ["F-1", "Fe1", 0.0], ["F-1", "Fe2", 0.23333333333333334], ["F-1", "Fe3", 0.7666666666666667], ["F-1", "Fe4", 0.0], ["F-1", "Co1", 0.0], ["F-1", "Co2", 0.6428571428571429], ["F-1", "Co3", 0.30952380952380953], ["F-1", 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["O-2", "Sm2", 0.011560693641618497], ["O-2", "Sm3", 0.9884393063583815], ["O-2", "Eu2", 0.25], ["O-2", "Eu3", 0.75], ["O-2", "Gd2", 0.006329113924050633], ["O-2", "Gd3", 0.9936708860759493], ["O-2", "Tb1", 0.0], ["O-2", "Tb2", 0.0], ["O-2", "Tb3", 0.8709677419354839], ["O-2", "Tb4", 0.12903225806451613], ["O-2", "Dy2", 0.0], ["O-2", "Dy3", 1.0], ["O-2", "Ho2", 0.0], ["O-2", "Ho3", 1.0], ["O-2", "Er3", 1.0], ["O-2", "Tm2", 0.0136986301369863], ["O-2", "Tm3", 0.9863013698630136], ["O-2", "Yb2", 0.08333333333333333], ["O-2", "Yb3", 0.9166666666666666], ["O-2", "Lu3", 1.0], ["O-2", "Hf2", 0.0], ["O-2", "Hf4", 1.0], ["O-2", "Ta1", 0.0], ["O-2", "Ta2", 0.0], ["O-2", "Ta3", 0.01282051282051282], ["O-2", "Ta4", 0.02564102564102564], ["O-2", "Ta5", 0.9615384615384616], ["O-2", "W2", 0.0], ["O-2", "W3", 0.0], ["O-2", "W4", 0.00980392156862745], ["O-2", "W5", 0.029411764705882353], ["O-2", "W6", 0.9607843137254902], ["O-2", "Re2", 0.0], ["O-2", "Re3", 0.0], ["O-2", "Re4", 0.05357142857142857], ["O-2", "Re5", 0.26785714285714285], ["O-2", "Re6", 0.19047619047619047], ["O-2", "Re7", 0.4880952380952381], ["O-2", "Ir3", 0.046511627906976744], ["O-2", "Ir4", 0.4883720930232558], ["O-2", "Ir5", 0.3953488372093023], ["O-2", "Ir6", 0.06976744186046512], ["O-2", "Hg1", 0.23417721518987342], ["O-2", "Hg2", 0.7658227848101266], ["O-2", "Tl1", 0.7772020725388601], ["O-2", "Tl3", 0.22279792746113988], ["O-2", "Pb2", 0.8956043956043956], ["O-2", "Pb4", 0.1043956043956044], ["O-2", "Bi1", 0.002702702702702703], ["O-2", "Bi2", 0.0], ["O-2", "Bi3", 0.9297297297297298], ["O-2", "Bi5", 0.05945945945945946], ["O-2", "Th3", 0.025], ["O-2", "Th4", 0.975], ["O-2", "U2", 0.0], ["O-2", "U3", 0.010344827586206896], ["O-2", "U4", 0.07586206896551724], ["O-2", "U5", 0.07241379310344828], ["O-2", "U6", 0.8413793103448276], ["Cl-1", "Li1", 1.0], ["Cl-1", "Be2", 1.0], ["Cl-1", "Na1", 1.0], ["Cl-1", "Mg2", 1.0], ["Cl-1", "Al3", 1.0], ["Cl-1", "K1", 1.0], ["Cl-1", "Ca2", 1.0], ["Cl-1", "Sc1", 0.045454545454545456], ["Cl-1", "Sc2", 0.3181818181818182], ["Cl-1", "Sc3", 0.6363636363636364], ["Cl-1", "Ti2", 0.2727272727272727], ["Cl-1", "Ti3", 0.45454545454545453], ["Cl-1", "Ti4", 0.2727272727272727], ["Cl-1", "V2", 0.5], ["Cl-1", "V3", 0.2857142857142857], ["Cl-1", "V4", 0.14285714285714285], ["Cl-1", "V5", 0.07142857142857142], ["Cl-1", "Cr2", 0.5909090909090909], ["Cl-1", "Cr3", 0.4090909090909091], ["Cl-1", "Cr4", 0.0], ["Cl-1", "Cr5", 0.0], ["Cl-1", "Cr6", 0.0], ["Cl-1", "Mn1", 0.0], ["Cl-1", "Mn2", 0.9285714285714286], ["Cl-1", "Mn3", 0.0], ["Cl-1", "Mn4", 0.07142857142857142], ["Cl-1", "Mn5", 0.0], ["Cl-1", "Mn6", 0.0], ["Cl-1", "Mn7", 0.0], ["Cl-1", "Fe1", 0.0], ["Cl-1", "Fe2", 0.4375], ["Cl-1", "Fe3", 0.5625], ["Cl-1", "Fe4", 0.0], ["Cl-1", "Co1", 0.0], ["Cl-1", "Co2", 0.8148148148148148], ["Cl-1", "Co3", 0.18518518518518517], ["Cl-1", "Co4", 0.0], ["Cl-1", "Ni1", 0.0], ["Cl-1", "Ni2", 1.0], ["Cl-1", "Ni3", 0.0], ["Cl-1", "Ni4", 0.0], ["Cl-1", "Cu1", 0.4418604651162791], ["Cl-1", "Cu2", 0.5116279069767442], ["Cl-1", "Cu3", 0.046511627906976744], ["Cl-1", "Zn2", 1.0], ["Cl-1", "Ga1", 0.043478260869565216], ["Cl-1", "Ga2", 0.08695652173913043], ["Cl-1", "Ga3", 0.8695652173913043], ["Cl-1", "Ge2", 0.3333333333333333], ["Cl-1", "Ge3", 0.0], ["Cl-1", "Ge4", 0.5], ["Cl-1", "Rb1", 1.0], ["Cl-1", "Sr2", 1.0], ["Cl-1", "Y1", 0.1111111111111111], ["Cl-1", "Y2", 0.0], ["Cl-1", "Y3", 0.8888888888888888], ["Cl-1", "Zr1", 0.03333333333333333], ["Cl-1", "Zr2", 0.23333333333333334], ["Cl-1", "Zr3", 0.3], ["Cl-1", "Zr4", 0.43333333333333335], ["Cl-1", "Nb1", 0.0], ["Cl-1", "Nb2", 0.0], ["Cl-1", "Nb3", 0.3333333333333333], ["Cl-1", "Nb4", 0.16666666666666666], ["Cl-1", "Nb5", 0.5], ["Cl-1", "Mo2", 0.21621621621621623], ["Cl-1", "Mo3", 0.1891891891891892], ["Cl-1", "Mo4", 0.21621621621621623], ["Cl-1", "Mo5", 0.2702702702702703], ["Cl-1", "Mo6", 0.10810810810810811], ["Cl-1", "Ru2", 0.1], ["Cl-1", "Ru3", 0.6], ["Cl-1", "Ru4", 0.3], ["Cl-1", "Ru5", 0.0], ["Cl-1", "Ru6", 0.0], ["Cl-1", "Rh1", 0.0], ["Cl-1", "Rh3", 0.75], ["Cl-1", "Rh4", 0.25], ["Cl-1", "Pd2", 0.8387096774193549], ["Cl-1", "Pd3", 0.0], ["Cl-1", "Pd4", 0.16129032258064516], ["Cl-1", "Ag1", 0.9473684210526315], ["Cl-1", "Ag2", 0.05263157894736842], ["Cl-1", "Ag3", 0.0], ["Cl-1", "Cd2", 1.0], ["Cl-1", "In1", 0.4166666666666667], ["Cl-1", "In2", 0.08333333333333333], ["Cl-1", "In3", 0.5], ["Cl-1", "Sn2", 0.4166666666666667], ["Cl-1", "Sn3", 0.0], ["Cl-1", "Sn4", 0.5833333333333334], ["Cl-1", "Sb3", 0.3181818181818182], ["Cl-1", "Sb4", 0.0], ["Cl-1", "Sb5", 0.5681818181818182], ["Cl-1", "Cs1", 1.0], ["Cl-1", "Ba2", 1.0], ["Cl-1", "La1", 0.0], ["Cl-1", "La2", 0.05], ["Cl-1", "La3", 0.95], ["Cl-1", "Ce2", 0.0], ["Cl-1", "Ce3", 0.875], ["Cl-1", "Ce4", 0.125], ["Cl-1", "Pr2", 0.0], ["Cl-1", "Pr3", 1.0], ["Cl-1", "Nd2", 0.0], ["Cl-1", "Nd3", 1.0], ["Cl-1", "Sm2", 0.3333333333333333], ["Cl-1", "Sm3", 0.6666666666666666], ["Cl-1", "Eu2", 0.4444444444444444], ["Cl-1", "Eu3", 0.5555555555555556], ["Cl-1", "Gd2", 0.16666666666666666], ["Cl-1", "Gd3", 0.8333333333333334], ["Cl-1", "Tb1", 0.2], ["Cl-1", "Tb2", 0.0], ["Cl-1", "Tb3", 0.8], ["Cl-1", "Tb4", 0.0], ["Cl-1", "Dy2", 0.0], ["Cl-1", "Dy3", 1.0], ["Cl-1", "Ho2", 0.0], ["Cl-1", "Ho3", 1.0], ["Cl-1", "Er3", 1.0], ["Cl-1", "Tm2", 0.0], ["Cl-1", "Tm3", 1.0], ["Cl-1", "Yb2", 0.5], ["Cl-1", "Yb3", 0.5], ["Cl-1", "Lu3", 1.0], ["Cl-1", "Hf2", 0.2857142857142857], ["Cl-1", "Hf4", 0.7142857142857143], ["Cl-1", "Ta1", 0.0], ["Cl-1", "Ta2", 0.0], ["Cl-1", "Ta3", 0.08695652173913043], ["Cl-1", "Ta4", 0.2608695652173913], ["Cl-1", "Ta5", 0.6521739130434783], ["Cl-1", "W2", 0.1111111111111111], ["Cl-1", "W3", 0.2222222222222222], ["Cl-1", "W4", 0.2777777777777778], ["Cl-1", "W5", 0.16666666666666666], ["Cl-1", "W6", 0.2222222222222222], ["Cl-1", "Re2", 0.03225806451612903], ["Cl-1", "Re3", 0.3225806451612903], ["Cl-1", "Re4", 0.3225806451612903], ["Cl-1", "Re5", 0.22580645161290322], ["Cl-1", "Re6", 0.03225806451612903], ["Cl-1", "Re7", 0.06451612903225806], ["Cl-1", "Ir3", 0.6666666666666666], ["Cl-1", "Ir4", 0.16666666666666666], ["Cl-1", "Ir5", 0.16666666666666666], ["Cl-1", "Ir6", 0.0], ["Cl-1", "Hg1", 0.020833333333333332], ["Cl-1", "Hg2", 0.9791666666666666], ["Cl-1", "Tl1", 0.875], ["Cl-1", "Tl3", 0.125], ["Cl-1", "Pb2", 0.8125], ["Cl-1", "Pb4", 0.1875], ["Cl-1", "Bi1", 0.0], ["Cl-1", "Bi2", 0.04], ["Cl-1", "Bi3", 0.96], ["Cl-1", "Bi5", 0.0], ["Cl-1", "Th3", 0.0], ["Cl-1", "Th4", 1.0], ["Cl-1", "U2", 0.0], ["Cl-1", "U3", 0.26666666666666666], ["Cl-1", "U4", 0.4], ["Cl-1", "U5", 0.26666666666666666], ["Cl-1", "U6", 0.06666666666666667], ["Br-1", "Li1", 1.0], ["Br-1", "Be2", 1.0], ["Br-1", "Na1", 1.0], ["Br-1", "Mg2", 1.0], ["Br-1", "Al3", 1.0], ["Br-1", "K1", 1.0], ["Br-1", "Ca2", 1.0], ["Br-1", "Sc1", 0.0], ["Br-1", "Sc2", 0.5], ["Br-1", "Sc3", 0.5], ["Br-1", "Ti2", 0.5], ["Br-1", "Ti3", 0.3333333333333333], ["Br-1", "Ti4", 0.16666666666666666], ["Br-1", "V2", 0.8333333333333334], ["Br-1", "V3", 0.16666666666666666], ["Br-1", "V4", 0.0], ["Br-1", "V5", 0.0], ["Br-1", "Cr2", 0.42857142857142855], ["Br-1", "Cr3", 0.5714285714285714], ["Br-1", "Cr4", 0.0], ["Br-1", "Cr5", 0.0], ["Br-1", "Cr6", 0.0], ["Br-1", "Mn1", 0.0], ["Br-1", "Mn2", 1.0], ["Br-1", "Mn3", 0.0], ["Br-1", "Mn4", 0.0], ["Br-1", "Mn5", 0.0], ["Br-1", "Mn6", 0.0], ["Br-1", "Mn7", 0.0], ["Br-1", "Fe1", 0.0], ["Br-1", "Fe2", 0.4444444444444444], ["Br-1", "Fe3", 0.5555555555555556], ["Br-1", "Fe4", 0.0], ["Br-1", "Co1", 0.0], ["Br-1", "Co2", 1.0], ["Br-1", "Co3", 0.0], ["Br-1", "Co4", 0.0], ["Br-1", "Ni1", 0.0], ["Br-1", "Ni2", 1.0], ["Br-1", "Ni3", 0.0], ["Br-1", "Ni4", 0.0], ["Br-1", "Cu1", 0.7391304347826086], ["Br-1", "Cu2", 0.17391304347826086], ["Br-1", "Cu3", 0.08695652173913043], ["Br-1", "Zn2", 1.0], ["Br-1", "Ga1", 0.0], ["Br-1", "Ga2", 0.1], ["Br-1", "Ga3", 0.9], ["Br-1", "Ge2", 0.5555555555555556], ["Br-1", "Ge3", 0.0], ["Br-1", "Ge4", 0.3333333333333333], ["Br-1", "Rb1", 1.0], ["Br-1", "Sr2", 1.0], ["Br-1", "Y1", 0.0], ["Br-1", "Y2", 0.0], ["Br-1", "Y3", 1.0], ["Br-1", "Zr1", 0.1111111111111111], ["Br-1", "Zr2", 0.2222222222222222], ["Br-1", "Zr3", 0.3333333333333333], ["Br-1", "Zr4", 0.3333333333333333], ["Br-1", "Nb1", 0.0], ["Br-1", "Nb2", 0.058823529411764705], ["Br-1", "Nb3", 0.35294117647058826], ["Br-1", "Nb4", 0.11764705882352941], ["Br-1", "Nb5", 0.47058823529411764], ["Br-1", "Mo2", 0.5], ["Br-1", "Mo3", 0.4166666666666667], ["Br-1", "Mo4", 0.08333333333333333], ["Br-1", "Mo5", 0.0], ["Br-1", "Mo6", 0.0], ["Br-1", "Ru2", 0.0], ["Br-1", "Ru3", 1.0], ["Br-1", "Ru4", 0.0], ["Br-1", "Ru5", 0.0], ["Br-1", "Ru6", 0.0], ["Br-1", "Rh1", 0.5], ["Br-1", "Rh3", 0.5], ["Br-1", "Rh4", 0.0], ["Br-1", "Pd2", 0.5384615384615384], ["Br-1", "Pd3", 0.15384615384615385], ["Br-1", "Pd4", 0.3076923076923077], ["Br-1", "Ag1", 1.0], ["Br-1", "Ag2", 0.0], ["Br-1", "Ag3", 0.0], ["Br-1", "Cd2", 1.0], ["Br-1", "In1", 0.43478260869565216], ["Br-1", "In2", 0.2608695652173913], ["Br-1", "In3", 0.30434782608695654], ["Br-1", "Sn2", 0.625], ["Br-1", "Sn3", 0.0], ["Br-1", "Sn4", 0.375], ["Br-1", "Sb3", 0.7777777777777778], ["Br-1", "Sb4", 0.0], ["Br-1", "Sb5", 0.0], ["Br-1", "Cs1", 1.0], ["Br-1", "Ba2", 1.0], ["Br-1", "La1", 0.05], ["Br-1", "La2", 0.2], ["Br-1", "La3", 0.75], ["Br-1", "Ce2", 0.0], ["Br-1", "Ce3", 1.0], ["Br-1", "Ce4", 0.0], ["Br-1", "Pr2", 0.125], ["Br-1", "Pr3", 0.875], ["Br-1", "Nd2", 0.0], ["Br-1", "Nd3", 1.0], ["Br-1", "Sm2", 0.0], ["Br-1", "Sm3", 1.0], ["Br-1", "Eu2", 1.0], ["Br-1", "Eu3", 0.0], ["Br-1", "Gd2", 0.2], ["Br-1", "Gd3", 0.8], ["Br-1", "Tb1", 0.14285714285714285], ["Br-1", "Tb2", 0.14285714285714285], ["Br-1", "Tb3", 0.7142857142857143], ["Br-1", "Tb4", 0.0], ["Br-1", "Dy2", 0.0], ["Br-1", "Dy3", 1.0], ["Br-1", "Ho2", 0.0], ["Br-1", "Ho3", 0.0], ["Br-1", "Er3", 1.0], ["Br-1", "Tm2", 0.0], ["Br-1", "Tm3", 1.0], ["Br-1", "Yb2", 0.8], ["Br-1", "Yb3", 0.2], ["Br-1", "Lu3", 1.0], ["Br-1", "Hf2", 0.0], ["Br-1", "Hf4", 0.0], ["Br-1", "Ta1", 0.0], ["Br-1", "Ta2", 0.0], ["Br-1", "Ta3", 0.2], ["Br-1", "Ta4", 0.2], ["Br-1", "Ta5", 0.6], ["Br-1", "W2", 0.4166666666666667], ["Br-1", "W3", 0.08333333333333333], ["Br-1", "W4", 0.16666666666666666], ["Br-1", "W5", 0.16666666666666666], ["Br-1", "W6", 0.16666666666666666], ["Br-1", "Re2", 0.0], ["Br-1", "Re3", 0.5454545454545454], ["Br-1", "Re4", 0.09090909090909091], ["Br-1", "Re5", 0.18181818181818182], ["Br-1", "Re6", 0.09090909090909091], ["Br-1", "Re7", 0.09090909090909091], ["Br-1", "Ir3", 1.0], ["Br-1", "Ir4", 0.0], ["Br-1", "Ir5", 0.0], ["Br-1", "Ir6", 0.0], ["Br-1", "Hg1", 0.023809523809523808], ["Br-1", "Hg2", 0.9761904761904762], ["Br-1", "Tl1", 0.9047619047619048], ["Br-1", "Tl3", 0.09523809523809523], ["Br-1", "Pb2", 1.0], ["Br-1", "Pb4", 0.0], ["Br-1", "Bi1", 0.1], ["Br-1", "Bi2", 0.1], ["Br-1", "Bi3", 0.75], ["Br-1", "Bi5", 0.0], ["Br-1", "Th3", 0.14285714285714285], ["Br-1", "Th4", 0.8571428571428571], ["Br-1", "U2", 0.0], ["Br-1", "U3", 0.25], ["Br-1", "U4", 0.625], ["Br-1", "U5", 0.125], ["Br-1", "U6", 0.0], ["I-1", "Li1", 1.0], ["I-1", "Be2", 1.0], ["I-1", "Na1", 1.0], ["I-1", "Mg2", 1.0], ["I-1", "Al3", 1.0], ["I-1", "K1", 1.0], ["I-1", "Ca2", 1.0], ["I-1", "Sc1", 0.0], ["I-1", "Sc2", 0.5], ["I-1", "Sc3", 0.5], ["I-1", "Ti2", 0.5], ["I-1", "Ti3", 0.3333333333333333], ["I-1", "Ti4", 0.16666666666666666], ["I-1", "V2", 1.0], ["I-1", "V3", 0.0], ["I-1", "V4", 0.0], ["I-1", "V5", 0.0], ["I-1", "Cr2", 0.7777777777777778], ["I-1", "Cr3", 0.2222222222222222], ["I-1", "Cr4", 0.0], ["I-1", "Cr5", 0.0], ["I-1", "Cr6", 0.0], ["I-1", "Mn1", 0.14285714285714285], ["I-1", "Mn2", 0.8571428571428571], ["I-1", "Mn3", 0.0], ["I-1", "Mn4", 0.0], ["I-1", "Mn5", 0.0], ["I-1", "Mn6", 0.0], ["I-1", "Mn7", 0.0], ["I-1", "Fe1", 0.0], ["I-1", "Fe2", 0.8], ["I-1", "Fe3", 0.2], ["I-1", "Fe4", 0.0], ["I-1", "Co1", 0.0], ["I-1", "Co2", 1.0], ["I-1", "Co3", 0.0], ["I-1", "Co4", 0.0], ["I-1", "Ni1", 0.0], ["I-1", "Ni2", 1.0], ["I-1", "Ni3", 0.0], ["I-1", "Ni4", 0.0], ["I-1", "Cu1", 0.9473684210526315], ["I-1", "Cu2", 0.0], ["I-1", "Cu3", 0.05263157894736842], ["I-1", "Zn2", 1.0], ["I-1", "Ga1", 0.0], ["I-1", "Ga2", 0.2], ["I-1", "Ga3", 0.8], ["I-1", "Ge2", 0.5], ["I-1", "Ge3", 0.0], ["I-1", "Ge4", 0.16666666666666666], ["I-1", "Rb1", 1.0], ["I-1", "Sr2", 1.0], ["I-1", "Y1", 0.0], ["I-1", "Y2", 0.0], ["I-1", "Y3", 1.0], ["I-1", "Zr1", 0.0], ["I-1", "Zr2", 0.3076923076923077], ["I-1", "Zr3", 0.5384615384615384], ["I-1", "Zr4", 0.15384615384615385], ["I-1", "Nb1", 0.0], ["I-1", "Nb2", 0.1111111111111111], ["I-1", "Nb3", 0.2777777777777778], ["I-1", "Nb4", 0.1111111111111111], ["I-1", "Nb5", 0.5], ["I-1", "Mo2", 0.5], ["I-1", "Mo3", 0.25], ["I-1", "Mo4", 0.25], ["I-1", "Mo5", 0.0], ["I-1", "Mo6", 0.0], ["I-1", "Ru2", 0.0], ["I-1", "Ru3", 0.0], ["I-1", "Ru4", 0.0], ["I-1", "Ru5", 0.0], ["I-1", "Ru6", 0.0], ["I-1", "Rh1", 0.0], ["I-1", "Rh3", 0.0], ["I-1", "Rh4", 0.0], ["I-1", "Pd2", 0.3333333333333333], ["I-1", "Pd3", 0.2222222222222222], ["I-1", "Pd4", 0.4444444444444444], ["I-1", "Ag1", 1.0], ["I-1", "Ag2", 0.0], ["I-1", "Ag3", 0.0], ["I-1", "Cd2", 1.0], ["I-1", "In1", 0.5], ["I-1", "In2", 0.05555555555555555], ["I-1", "In3", 0.4444444444444444], ["I-1", "Sn2", 0.8], ["I-1", "Sn3", 0.0], ["I-1", "Sn4", 0.2], ["I-1", "Sb3", 0.7647058823529411], ["I-1", "Sb4", 0.0], ["I-1", "Sb5", 0.0], ["I-1", "Cs1", 1.0], ["I-1", "Ba2", 1.0], ["I-1", "La1", 0.043478260869565216], ["I-1", "La2", 0.34782608695652173], ["I-1", "La3", 0.6086956521739131], ["I-1", "Ce2", 0.5], ["I-1", "Ce3", 0.5], ["I-1", "Ce4", 0.0], ["I-1", "Pr2", 0.16666666666666666], ["I-1", "Pr3", 0.8333333333333334], ["I-1", "Nd2", 0.6666666666666666], ["I-1", "Nd3", 0.3333333333333333], ["I-1", "Sm2", 0.3333333333333333], ["I-1", "Sm3", 0.6666666666666666], ["I-1", "Eu2", 1.0], ["I-1", "Eu3", 0.0], ["I-1", "Gd2", 0.5], ["I-1", "Gd3", 0.5], ["I-1", "Tb1", 0.0], ["I-1", "Tb2", 0.0], ["I-1", "Tb3", 1.0], ["I-1", "Tb4", 0.0], ["I-1", "Dy2", 0.3333333333333333], ["I-1", "Dy3", 0.6666666666666666], ["I-1", "Ho2", 0.0], ["I-1", "Ho3", 1.0], ["I-1", "Er3", 1.0], ["I-1", "Tm2", 0.6666666666666666], ["I-1", "Tm3", 0.3333333333333333], ["I-1", "Yb2", 1.0], ["I-1", "Yb3", 0.0], ["I-1", "Lu3", 0.0], ["I-1", "Hf2", 0.0], ["I-1", "Hf4", 1.0], ["I-1", "Ta1", 0.0], ["I-1", "Ta2", 0.0], ["I-1", "Ta3", 0.2222222222222222], ["I-1", "Ta4", 0.1111111111111111], ["I-1", "Ta5", 0.6666666666666666], ["I-1", "W2", 0.0], ["I-1", "W3", 0.0], ["I-1", "W4", 0.0], ["I-1", "W5", 0.0], ["I-1", "W6", 0.0], ["I-1", "Re2", 0.0], ["I-1", "Re3", 0.6], ["I-1", "Re4", 0.2], ["I-1", "Re5", 0.2], ["I-1", "Re6", 0.0], ["I-1", "Re7", 0.0], ["I-1", "Ir3", 0.0], ["I-1", "Ir4", 0.0], ["I-1", "Ir5", 0.0], ["I-1", "Ir6", 0.0], ["I-1", "Hg1", 0.02857142857142857], ["I-1", "Hg2", 0.9714285714285714], ["I-1", "Tl1", 0.9642857142857143], ["I-1", "Tl3", 0.03571428571428571], ["I-1", "Pb2", 1.0], ["I-1", "Pb4", 0.0], ["I-1", "Bi1", 0.125], ["I-1", "Bi2", 0.0625], ["I-1", "Bi3", 0.8125], ["I-1", "Bi5", 0.0], ["I-1", "Th3", 0.0], ["I-1", "Th4", 1.0], ["I-1", "U2", 0.0], ["I-1", "U3", 0.2857142857142857], ["I-1", "U4", 0.7142857142857143], ["I-1", "U5", 0.0], ["I-1", "U6", 0.0], ["S-2", "Li1", 1.0], ["S-2", "Be2", 1.0], ["S-2", "Na1", 1.0], ["S-2", "Mg2", 1.0], ["S-2", "Al3", 1.0], ["S-2", "K1", 1.0], ["S-2", "Ca2", 1.0], ["S-2", "Sc1", 0.0], ["S-2", "Sc2", 0.05263157894736842], ["S-2", "Sc3", 0.9473684210526315], ["S-2", "Ti2", 0.03125], ["S-2", "Ti3", 0.28125], ["S-2", "Ti4", 0.6875], ["S-2", "V2", 0.10204081632653061], ["S-2", "V3", 0.32653061224489793], ["S-2", "V4", 0.3673469387755102], ["S-2", "V5", 0.20408163265306123], ["S-2", "Cr2", 0.15789473684210525], ["S-2", "Cr3", 0.8070175438596491], ["S-2", "Cr4", 0.03508771929824561], ["S-2", "Cr5", 0.0], ["S-2", "Cr6", 0.0], ["S-2", "Mn1", 0.0], ["S-2", "Mn2", 0.9423076923076923], ["S-2", "Mn3", 0.038461538461538464], ["S-2", "Mn4", 0.019230769230769232], ["S-2", "Mn5", 0.0], ["S-2", "Mn6", 0.0], ["S-2", "Mn7", 0.0], ["S-2", "Fe1", 0.0], ["S-2", "Fe2", 0.47058823529411764], ["S-2", "Fe3", 0.5098039215686274], ["S-2", "Fe4", 0.0196078431372549], ["S-2", "Co1", 0.0], ["S-2", "Co2", 0.6333333333333333], ["S-2", "Co3", 0.26666666666666666], ["S-2", "Co4", 0.1], ["S-2", "Ni1", 0.0], ["S-2", "Ni2", 0.7407407407407407], ["S-2", "Ni3", 0.25925925925925924], ["S-2", "Ni4", 0.0], ["S-2", "Cu1", 0.8060344827586207], ["S-2", "Cu2", 0.1939655172413793], ["S-2", "Cu3", 0.0], ["S-2", "Zn2", 1.0], ["S-2", "Ga1", 0.0], ["S-2", "Ga2", 0.05555555555555555], ["S-2", "Ga3", 0.9444444444444444], ["S-2", "Ge2", 0.030927835051546393], ["S-2", "Ge3", 0.041237113402061855], ["S-2", "Ge4", 0.9175257731958762], ["S-2", "Rb1", 1.0], ["S-2", "Sr2", 1.0], ["S-2", "Y1", 0.0], ["S-2", "Y2", 0.0], ["S-2", "Y3", 1.0], ["S-2", "Zr1", 0.0], ["S-2", "Zr2", 0.125], ["S-2", "Zr3", 0.041666666666666664], ["S-2", "Zr4", 0.8333333333333334], ["S-2", "Nb1", 0.0], ["S-2", "Nb2", 0.10638297872340426], ["S-2", "Nb3", 0.1702127659574468], ["S-2", "Nb4", 0.3829787234042553], ["S-2", "Nb5", 0.3404255319148936], ["S-2", "Mo2", 0.10526315789473684], ["S-2", "Mo3", 0.42105263157894735], ["S-2", "Mo4", 0.3157894736842105], ["S-2", "Mo5", 0.0], ["S-2", "Mo6", 0.15789473684210525], ["S-2", "Ru2", 0.0], ["S-2", "Ru3", 0.0], ["S-2", "Ru4", 1.0], ["S-2", "Ru5", 0.0], ["S-2", "Ru6", 0.0], ["S-2", "Rh1", 0.0], ["S-2", "Rh3", 0.8], ["S-2", "Rh4", 0.2], ["S-2", "Pd2", 1.0], ["S-2", "Pd3", 0.0], ["S-2", "Pd4", 0.0], ["S-2", "Ag1", 0.9919354838709677], ["S-2", "Ag2", 0.008064516129032258], ["S-2", "Ag3", 0.0], ["S-2", "Cd2", 1.0], ["S-2", "In1", 0.02666666666666667], ["S-2", "In2", 0.04], ["S-2", "In3", 0.9333333333333333], ["S-2", "Sn2", 0.3229166666666667], ["S-2", "Sn3", 0.041666666666666664], ["S-2", "Sn4", 0.6354166666666666], ["S-2", "Sb3", 0.8271604938271605], ["S-2", "Sb4", 0.0], ["S-2", "Sb5", 0.12345679012345678], ["S-2", "Cs1", 1.0], ["S-2", "Ba2", 1.0], ["S-2", "La1", 0.0], ["S-2", "La2", 0.04081632653061224], ["S-2", "La3", 0.9591836734693877], ["S-2", "Ce2", 0.023809523809523808], ["S-2", "Ce3", 0.9285714285714286], ["S-2", "Ce4", 0.047619047619047616], ["S-2", "Pr2", 0.041666666666666664], ["S-2", "Pr3", 0.9583333333333334], ["S-2", "Nd2", 0.058823529411764705], ["S-2", "Nd3", 0.9411764705882353], ["S-2", "Sm2", 0.029411764705882353], ["S-2", "Sm3", 0.9705882352941176], ["S-2", "Eu2", 0.9166666666666666], ["S-2", "Eu3", 0.08333333333333333], ["S-2", "Gd2", 0.05], ["S-2", "Gd3", 0.95], ["S-2", "Tb1", 0.0], ["S-2", "Tb2", 0.05555555555555555], ["S-2", "Tb3", 0.9444444444444444], ["S-2", "Tb4", 0.0], ["S-2", "Dy2", 0.045454545454545456], ["S-2", "Dy3", 0.9545454545454546], ["S-2", "Ho2", 0.05263157894736842], ["S-2", "Ho3", 0.9473684210526315], ["S-2", "Er3", 1.0], ["S-2", "Tm2", 0.05555555555555555], ["S-2", "Tm3", 0.9444444444444444], ["S-2", "Yb2", 0.3333333333333333], ["S-2", "Yb3", 0.6666666666666666], ["S-2", "Lu3", 1.0], ["S-2", "Hf2", 0.07692307692307693], ["S-2", "Hf4", 0.9230769230769231], ["S-2", "Ta1", 0.022222222222222223], ["S-2", "Ta2", 0.08888888888888889], ["S-2", "Ta3", 0.022222222222222223], ["S-2", "Ta4", 0.3333333333333333], ["S-2", "Ta5", 0.5333333333333333], ["S-2", "W2", 0.0], ["S-2", "W3", 0.0], ["S-2", "W4", 0.2857142857142857], ["S-2", "W5", 0.0], ["S-2", "W6", 0.7142857142857143], ["S-2", "Re2", 0.0], ["S-2", "Re3", 0.6], ["S-2", "Re4", 0.4], ["S-2", "Re5", 0.0], ["S-2", "Re6", 0.0], ["S-2", "Re7", 0.0], ["S-2", "Ir3", 0.5], ["S-2", "Ir4", 0.5], ["S-2", "Ir5", 0.0], ["S-2", "Ir6", 0.0], ["S-2", "Hg1", 0.0], ["S-2", "Hg2", 1.0], ["S-2", "Tl1", 0.9887640449438202], ["S-2", "Tl3", 0.011235955056179775], ["S-2", "Pb2", 1.0], ["S-2", "Pb4", 0.0], ["S-2", "Bi1", 0.0], ["S-2", "Bi2", 0.04918032786885246], ["S-2", "Bi3", 0.9508196721311475], ["S-2", "Bi5", 0.0], ["S-2", "Th3", 0.08333333333333333], ["S-2", "Th4", 0.9166666666666666], ["S-2", "U2", 0.027777777777777776], ["S-2", "U3", 0.1388888888888889], ["S-2", "U4", 0.7777777777777778], ["S-2", "U5", 0.027777777777777776], ["S-2", "U6", 0.027777777777777776], ["Se-2", "Li1", 1.0], ["Se-2", "Be2", 1.0], ["Se-2", "Na1", 1.0], ["Se-2", "Mg2", 1.0], ["Se-2", "Al3", 1.0], ["Se-2", "K1", 1.0], ["Se-2", "Ca2", 1.0], ["Se-2", "Sc1", 0.0], ["Se-2", "Sc2", 0.14285714285714285], ["Se-2", "Sc3", 0.8571428571428571], ["Se-2", "Ti2", 0.13333333333333333], ["Se-2", "Ti3", 0.4], ["Se-2", "Ti4", 0.4666666666666667], ["Se-2", "V2", 0.1111111111111111], ["Se-2", "V3", 0.5], ["Se-2", "V4", 0.2222222222222222], ["Se-2", "V5", 0.16666666666666666], ["Se-2", "Cr2", 0.07692307692307693], ["Se-2", "Cr3", 0.9230769230769231], ["Se-2", "Cr4", 0.0], ["Se-2", "Cr5", 0.0], ["Se-2", "Cr6", 0.0], ["Se-2", "Mn1", 0.0], ["Se-2", "Mn2", 0.9285714285714286], ["Se-2", "Mn3", 0.07142857142857142], ["Se-2", "Mn4", 0.0], ["Se-2", "Mn5", 0.0], ["Se-2", "Mn6", 0.0], ["Se-2", "Mn7", 0.0], ["Se-2", "Fe1", 0.0], ["Se-2", "Fe2", 0.47058823529411764], ["Se-2", "Fe3", 0.5294117647058824], ["Se-2", "Fe4", 0.0], ["Se-2", "Co1", 0.0], ["Se-2", "Co2", 0.631578947368421], ["Se-2", "Co3", 0.2631578947368421], ["Se-2", "Co4", 0.10526315789473684], ["Se-2", "Ni1", 0.05263157894736842], ["Se-2", "Ni2", 0.7894736842105263], ["Se-2", "Ni3", 0.15789473684210525], ["Se-2", "Ni4", 0.0], ["Se-2", "Cu1", 0.8391608391608392], ["Se-2", "Cu2", 0.16083916083916083], ["Se-2", "Cu3", 0.0], ["Se-2", "Zn2", 1.0], ["Se-2", "Ga1", 0.0], ["Se-2", "Ga2", 0.1111111111111111], ["Se-2", "Ga3", 0.8888888888888888], ["Se-2", "Ge2", 0.07017543859649122], ["Se-2", "Ge3", 0.08771929824561403], ["Se-2", "Ge4", 0.8421052631578947], ["Se-2", "Rb1", 1.0], ["Se-2", "Sr2", 1.0], ["Se-2", "Y1", 0.0], ["Se-2", "Y2", 0.0], ["Se-2", "Y3", 1.0], ["Se-2", "Zr1", 0.08333333333333333], ["Se-2", "Zr2", 0.0], ["Se-2", "Zr3", 0.0], ["Se-2", "Zr4", 0.9166666666666666], ["Se-2", "Nb1", 0.034482758620689655], ["Se-2", "Nb2", 0.0], ["Se-2", "Nb3", 0.20689655172413793], ["Se-2", "Nb4", 0.3103448275862069], ["Se-2", "Nb5", 0.4482758620689655], ["Se-2", "Mo2", 0.3], ["Se-2", "Mo3", 0.2], ["Se-2", "Mo4", 0.4], ["Se-2", "Mo5", 0.0], ["Se-2", "Mo6", 0.1], ["Se-2", "Ru2", 0.5], ["Se-2", "Ru3", 0.0], ["Se-2", "Ru4", 0.5], ["Se-2", "Ru5", 0.0], ["Se-2", "Ru6", 0.0], ["Se-2", "Rh1", 0.0], ["Se-2", "Rh3", 0.6666666666666666], ["Se-2", "Rh4", 0.3333333333333333], ["Se-2", "Pd2", 1.0], ["Se-2", "Pd3", 0.0], ["Se-2", "Pd4", 0.0], ["Se-2", "Ag1", 0.9850746268656716], ["Se-2", "Ag2", 0.014925373134328358], ["Se-2", "Ag3", 0.0], ["Se-2", "Cd2", 1.0], ["Se-2", "In1", 0.022727272727272728], ["Se-2", "In2", 0.06818181818181818], ["Se-2", "In3", 0.9090909090909091], ["Se-2", "Sn2", 0.25862068965517243], ["Se-2", "Sn3", 0.017241379310344827], ["Se-2", "Sn4", 0.7241379310344828], ["Se-2", "Sb3", 0.7586206896551724], ["Se-2", "Sb4", 0.0], ["Se-2", "Sb5", 0.13793103448275862], ["Se-2", "Cs1", 1.0], ["Se-2", "Ba2", 1.0], ["Se-2", "La1", 0.0], ["Se-2", "La2", 0.05555555555555555], ["Se-2", "La3", 0.9444444444444444], ["Se-2", 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0.002881844380403458], + ["O-2", "Ge4", 0.9769452449567724], + ["O-2", "Rb1", 1.0], + ["O-2", "Sr2", 1.0], + ["O-2", "Y1", 0.0], + ["O-2", "Y2", 0.004149377593360996], + ["O-2", "Y3", 0.995850622406639], + ["O-2", "Zr1", 0.0], + ["O-2", "Zr2", 0.0], + ["O-2", "Zr3", 0.0], + ["O-2", "Zr4", 1.0], + ["O-2", "Nb1", 0.0], + ["O-2", "Nb2", 0.0029154518950437317], + ["O-2", "Nb3", 0.043731778425655975], + ["O-2", "Nb4", 0.061224489795918366], + ["O-2", "Nb5", 0.892128279883382], + ["O-2", "Mo2", 0.0], + ["O-2", "Mo3", 0.02872531418312388], + ["O-2", "Mo4", 0.059245960502693], + ["O-2", "Mo5", 0.10771992818671454], + ["O-2", "Mo6", 0.8043087971274686], + ["O-2", "Ru2", 0.029940119760479042], + ["O-2", "Ru3", 0.0718562874251497], + ["O-2", "Ru4", 0.3413173652694611], + ["O-2", "Ru5", 0.49700598802395207], + ["O-2", "Ru6", 0.059880239520958084], + ["O-2", "Rh1", 0.0], + ["O-2", "Rh3", 0.6949152542372882], + ["O-2", "Rh4", 0.3050847457627119], + ["O-2", "Pd2", 0.881578947368421], + ["O-2", "Pd3", 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0.0], + ["Br-1", "Ni2", 1.0], + ["Br-1", "Ni3", 0.0], + ["Br-1", "Ni4", 0.0], + ["Br-1", "Cu1", 0.7391304347826086], + ["Br-1", "Cu2", 0.17391304347826086], + ["Br-1", "Cu3", 0.08695652173913043], + ["Br-1", "Zn2", 1.0], + ["Br-1", "Ga1", 0.0], + ["Br-1", "Ga2", 0.1], + ["Br-1", "Ga3", 0.9], + ["Br-1", "Ge2", 0.5555555555555556], + ["Br-1", "Ge3", 0.0], + ["Br-1", "Ge4", 0.3333333333333333], + ["Br-1", "Rb1", 1.0], + ["Br-1", "Sr2", 1.0], + ["Br-1", "Y1", 0.0], + ["Br-1", "Y2", 0.0], + ["Br-1", "Y3", 1.0], + ["Br-1", "Zr1", 0.1111111111111111], + ["Br-1", "Zr2", 0.2222222222222222], + ["Br-1", "Zr3", 0.3333333333333333], + ["Br-1", "Zr4", 0.3333333333333333], + ["Br-1", "Nb1", 0.0], + ["Br-1", "Nb2", 0.058823529411764705], + ["Br-1", "Nb3", 0.35294117647058826], + ["Br-1", "Nb4", 0.11764705882352941], + ["Br-1", "Nb5", 0.47058823529411764], + ["Br-1", "Mo2", 0.5], + ["Br-1", "Mo3", 0.4166666666666667], + ["Br-1", "Mo4", 0.08333333333333333], + ["Br-1", "Mo5", 0.0], + ["Br-1", "Mo6", 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0.04918032786885246], + ["S-2", "Bi3", 0.9508196721311475], + ["S-2", "Bi5", 0.0], + ["S-2", "Th3", 0.08333333333333333], + ["S-2", "Th4", 0.9166666666666666], + ["S-2", "U2", 0.027777777777777776], + ["S-2", "U3", 0.1388888888888889], + ["S-2", "U4", 0.7777777777777778], + ["S-2", "U5", 0.027777777777777776], + ["S-2", "U6", 0.027777777777777776], + ["Se-2", "Li1", 1.0], + ["Se-2", "Be2", 1.0], + ["Se-2", "Na1", 1.0], + ["Se-2", "Mg2", 1.0], + ["Se-2", "Al3", 1.0], + ["Se-2", "K1", 1.0], + ["Se-2", "Ca2", 1.0], + ["Se-2", "Sc1", 0.0], + ["Se-2", "Sc2", 0.14285714285714285], + ["Se-2", "Sc3", 0.8571428571428571], + ["Se-2", "Ti2", 0.13333333333333333], + ["Se-2", "Ti3", 0.4], + ["Se-2", "Ti4", 0.4666666666666667], + ["Se-2", "V2", 0.1111111111111111], + ["Se-2", "V3", 0.5], + ["Se-2", "V4", 0.2222222222222222], + ["Se-2", "V5", 0.16666666666666666], + ["Se-2", "Cr2", 0.07692307692307693], + ["Se-2", "Cr3", 0.9230769230769231], + ["Se-2", "Cr4", 0.0], + ["Se-2", "Cr5", 0.0], + ["Se-2", "Cr6", 0.0], + ["Se-2", "Mn1", 0.0], + ["Se-2", "Mn2", 0.9285714285714286], + ["Se-2", "Mn3", 0.07142857142857142], + ["Se-2", "Mn4", 0.0], + ["Se-2", "Mn5", 0.0], + ["Se-2", "Mn6", 0.0], + ["Se-2", "Mn7", 0.0], + ["Se-2", "Fe1", 0.0], + ["Se-2", "Fe2", 0.47058823529411764], + ["Se-2", "Fe3", 0.5294117647058824], + ["Se-2", "Fe4", 0.0], + ["Se-2", "Co1", 0.0], + ["Se-2", "Co2", 0.631578947368421], + ["Se-2", "Co3", 0.2631578947368421], + ["Se-2", "Co4", 0.10526315789473684], + ["Se-2", "Ni1", 0.05263157894736842], + ["Se-2", "Ni2", 0.7894736842105263], + ["Se-2", "Ni3", 0.15789473684210525], + ["Se-2", "Ni4", 0.0], + ["Se-2", "Cu1", 0.8391608391608392], + ["Se-2", "Cu2", 0.16083916083916083], + ["Se-2", "Cu3", 0.0], + ["Se-2", "Zn2", 1.0], + ["Se-2", "Ga1", 0.0], + ["Se-2", "Ga2", 0.1111111111111111], + ["Se-2", "Ga3", 0.8888888888888888], + ["Se-2", "Ge2", 0.07017543859649122], + ["Se-2", "Ge3", 0.08771929824561403], + ["Se-2", "Ge4", 0.8421052631578947], + ["Se-2", "Rb1", 1.0], + ["Se-2", "Sr2", 1.0], + ["Se-2", "Y1", 0.0], + ["Se-2", "Y2", 0.0], + ["Se-2", "Y3", 1.0], + ["Se-2", "Zr1", 0.08333333333333333], + ["Se-2", "Zr2", 0.0], + ["Se-2", "Zr3", 0.0], + ["Se-2", "Zr4", 0.9166666666666666], + ["Se-2", "Nb1", 0.034482758620689655], + ["Se-2", "Nb2", 0.0], + ["Se-2", "Nb3", 0.20689655172413793], + ["Se-2", "Nb4", 0.3103448275862069], + ["Se-2", "Nb5", 0.4482758620689655], + ["Se-2", "Mo2", 0.3], + ["Se-2", "Mo3", 0.2], + ["Se-2", "Mo4", 0.4], + ["Se-2", "Mo5", 0.0], + ["Se-2", "Mo6", 0.1], + ["Se-2", "Ru2", 0.5], + ["Se-2", "Ru3", 0.0], + ["Se-2", "Ru4", 0.5], + ["Se-2", "Ru5", 0.0], + ["Se-2", "Ru6", 0.0], + ["Se-2", "Rh1", 0.0], + ["Se-2", "Rh3", 0.6666666666666666], + ["Se-2", "Rh4", 0.3333333333333333], + ["Se-2", "Pd2", 1.0], + ["Se-2", "Pd3", 0.0], + ["Se-2", "Pd4", 0.0], + ["Se-2", "Ag1", 0.9850746268656716], + ["Se-2", "Ag2", 0.014925373134328358], + ["Se-2", "Ag3", 0.0], + ["Se-2", "Cd2", 1.0], + ["Se-2", "In1", 0.022727272727272728], + ["Se-2", "In2", 0.06818181818181818], + ["Se-2", "In3", 0.9090909090909091], + ["Se-2", "Sn2", 0.25862068965517243], + ["Se-2", "Sn3", 0.017241379310344827], + ["Se-2", "Sn4", 0.7241379310344828], + ["Se-2", "Sb3", 0.7586206896551724], + ["Se-2", "Sb4", 0.0], + ["Se-2", "Sb5", 0.13793103448275862], + ["Se-2", "Cs1", 1.0], + ["Se-2", "Ba2", 1.0], + ["Se-2", "La1", 0.0], + ["Se-2", "La2", 0.05555555555555555], + ["Se-2", "La3", 0.9444444444444444], + ["Se-2", "Ce2", 0.043478260869565216], + ["Se-2", "Ce3", 0.9130434782608695], + ["Se-2", "Ce4", 0.043478260869565216], + ["Se-2", "Pr2", 0.06666666666666667], + ["Se-2", "Pr3", 0.9333333333333333], + ["Se-2", "Nd2", 0.06666666666666667], + ["Se-2", "Nd3", 0.9333333333333333], + ["Se-2", "Sm2", 0.05], + ["Se-2", "Sm3", 0.95], + ["Se-2", "Eu2", 1.0], + ["Se-2", "Eu3", 0.0], + ["Se-2", "Gd2", 0.08333333333333333], + ["Se-2", "Gd3", 0.9166666666666666], + ["Se-2", "Tb1", 0.0], + ["Se-2", "Tb2", 0.058823529411764705], + ["Se-2", "Tb3", 0.9411764705882353], + ["Se-2", "Tb4", 0.0], + ["Se-2", "Dy2", 0.06666666666666667], + ["Se-2", "Dy3", 0.9333333333333333], + ["Se-2", "Ho2", 0.07692307692307693], + ["Se-2", "Ho3", 0.9230769230769231], + ["Se-2", "Er3", 1.0], + ["Se-2", "Tm2", 0.1111111111111111], + ["Se-2", "Tm3", 0.8888888888888888], + ["Se-2", "Yb2", 0.3333333333333333], + ["Se-2", "Yb3", 0.6666666666666666], + ["Se-2", "Lu3", 1.0], + ["Se-2", "Hf2", 0.0], + ["Se-2", "Hf4", 1.0], + ["Se-2", "Ta1", 0.058823529411764705], + ["Se-2", "Ta2", 0.14705882352941177], + ["Se-2", "Ta3", 0.029411764705882353], + ["Se-2", "Ta4", 0.38235294117647056], + ["Se-2", "Ta5", 0.38235294117647056], + ["Se-2", "W2", 0.0], + ["Se-2", "W3", 0.0], + ["Se-2", "W4", 0.5], + ["Se-2", "W5", 0.0], + ["Se-2", "W6", 0.5], + ["Se-2", "Re2", 0.0], + ["Se-2", "Re3", 0.0], + ["Se-2", "Re4", 0.5], + ["Se-2", "Re5", 0.5], + ["Se-2", "Re6", 0.0], + ["Se-2", "Re7", 0.0], + ["Se-2", "Ir3", 0.0], + ["Se-2", "Ir4", 1.0], + ["Se-2", "Ir5", 0.0], + ["Se-2", "Ir6", 0.0], + ["Se-2", "Hg1", 0.0], + ["Se-2", "Hg2", 1.0], + ["Se-2", "Tl1", 0.9787234042553191], + ["Se-2", "Tl3", 0.02127659574468085], + ["Se-2", "Pb2", 1.0], + ["Se-2", "Pb4", 0.0], + ["Se-2", "Bi1", 0.0], + ["Se-2", "Bi2", 0.0967741935483871], + ["Se-2", "Bi3", 0.9032258064516129], + ["Se-2", "Bi5", 0.0], + ["Se-2", "Th3", 0.0], + ["Se-2", "Th4", 1.0], + ["Se-2", "U2", 0.05555555555555555], + ["Se-2", "U3", 0.05555555555555555], + ["Se-2", "U4", 0.8888888888888888], + ["Se-2", "U5", 0.0], + ["Se-2", "U6", 0.0], + ["Te-2", "Li1", 1.0], + ["Te-2", "Be2", 1.0], + ["Te-2", "Na1", 1.0], + ["Te-2", "Mg2", 1.0], + ["Te-2", "Al3", 1.0], + ["Te-2", "K1", 1.0], + ["Te-2", "Ca2", 1.0], + ["Te-2", "Sc1", 0.125], + ["Te-2", "Sc2", 0.125], + ["Te-2", "Sc3", 0.75], + ["Te-2", "Ti2", 0.25], + ["Te-2", "Ti3", 0.5], + ["Te-2", "Ti4", 0.25], + ["Te-2", "V2", 0.5], + ["Te-2", "V3", 0.25], + ["Te-2", "V4", 0.25], + ["Te-2", "V5", 0.0], + ["Te-2", "Cr2", 0.0], + ["Te-2", "Cr3", 1.0], + ["Te-2", "Cr4", 0.0], + ["Te-2", "Cr5", 0.0], + ["Te-2", "Cr6", 0.0], + ["Te-2", "Mn1", 0.0], + ["Te-2", "Mn2", 0.8823529411764706], + ["Te-2", "Mn3", 0.11764705882352941], + ["Te-2", "Mn4", 0.0], + ["Te-2", "Mn5", 0.0], + ["Te-2", "Mn6", 0.0], + ["Te-2", "Mn7", 0.0], + ["Te-2", "Fe1", 0.0], + ["Te-2", "Fe2", 0.75], + ["Te-2", "Fe3", 0.25], + ["Te-2", "Fe4", 0.0], + ["Te-2", "Co1", 0.0], + ["Te-2", "Co2", 0.8333333333333334], + ["Te-2", "Co3", 0.0], + ["Te-2", "Co4", 0.16666666666666666], + ["Te-2", "Ni1", 0.0], + ["Te-2", "Ni2", 0.8571428571428571], + ["Te-2", "Ni3", 0.14285714285714285], + ["Te-2", "Ni4", 0.0], + ["Te-2", "Cu1", 0.6764705882352942], + ["Te-2", "Cu2", 0.3235294117647059], + ["Te-2", "Cu3", 0.0], + ["Te-2", "Zn2", 1.0], + ["Te-2", "Ga1", 0.0], + ["Te-2", "Ga2", 0.1111111111111111], + ["Te-2", "Ga3", 0.8888888888888888], + ["Te-2", "Ge2", 0.7333333333333333], + ["Te-2", "Ge3", 0.06666666666666667], + ["Te-2", "Ge4", 0.2], + ["Te-2", "Rb1", 1.0], + ["Te-2", "Sr2", 1.0], + ["Te-2", "Y1", 0.0], + ["Te-2", "Y2", 0.0], + ["Te-2", "Y3", 1.0], + ["Te-2", "Zr1", 0.09090909090909091], + ["Te-2", "Zr2", 0.36363636363636365], + ["Te-2", "Zr3", 0.09090909090909091], + ["Te-2", "Zr4", 0.45454545454545453], + ["Te-2", "Nb1", 0.0], + ["Te-2", "Nb2", 0.25], + ["Te-2", "Nb3", 0.3333333333333333], + ["Te-2", "Nb4", 0.25], + ["Te-2", "Nb5", 0.16666666666666666], + ["Te-2", "Mo2", 0.0], + ["Te-2", "Mo3", 0.0], + ["Te-2", "Mo4", 0.0], + ["Te-2", "Mo5", 0.0], + ["Te-2", "Mo6", 0.0], + ["Te-2", "Ru2", 0.0], + ["Te-2", "Ru3", 0.0], + ["Te-2", "Ru4", 0.0], + ["Te-2", "Ru5", 0.0], + ["Te-2", "Ru6", 0.0], + ["Te-2", "Rh1", 0.0], + ["Te-2", "Rh3", 0.0], + ["Te-2", "Rh4", 0.0], + ["Te-2", "Pd2", 0.0], + ["Te-2", "Pd3", 0.0], + ["Te-2", "Pd4", 0.0], + ["Te-2", "Ag1", 1.0], + ["Te-2", "Ag2", 0.0], + ["Te-2", "Ag3", 0.0], + ["Te-2", "Cd2", 1.0], + ["Te-2", "In1", 0.045454545454545456], + ["Te-2", "In2", 0.09090909090909091], + ["Te-2", "In3", 0.8636363636363636], + ["Te-2", "Sn2", 0.36363636363636365], + ["Te-2", "Sn3", 0.0], + ["Te-2", "Sn4", 0.6363636363636364], + ["Te-2", "Sb3", 0.5263157894736842], + ["Te-2", "Sb4", 0.0], + ["Te-2", "Sb5", 0.0], + ["Te-2", "Cs1", 1.0], + ["Te-2", "Ba2", 1.0], + ["Te-2", "La1", 0.0], + ["Te-2", "La2", 0.16666666666666666], + ["Te-2", "La3", 0.8333333333333334], + ["Te-2", "Ce2", 0.2], + ["Te-2", "Ce3", 0.8], + ["Te-2", "Ce4", 0.0], + ["Te-2", "Pr2", 0.2857142857142857], + ["Te-2", "Pr3", 0.7142857142857143], + ["Te-2", "Nd2", 0.14285714285714285], + ["Te-2", "Nd3", 0.8571428571428571], + ["Te-2", "Sm2", 0.16666666666666666], + ["Te-2", "Sm3", 0.8333333333333334], + ["Te-2", "Eu2", 1.0], + ["Te-2", "Eu3", 0.0], + ["Te-2", "Gd2", 0.5], + ["Te-2", "Gd3", 0.5], + ["Te-2", "Tb1", 0.0], + ["Te-2", "Tb2", 0.2], + ["Te-2", "Tb3", 0.8], + ["Te-2", "Tb4", 0.0], + ["Te-2", "Dy2", 0.16666666666666666], + ["Te-2", "Dy3", 0.8333333333333334], + ["Te-2", "Ho2", 0.16666666666666666], + ["Te-2", "Ho3", 0.8333333333333334], + ["Te-2", "Er3", 1.0], + ["Te-2", "Tm2", 0.3333333333333333], + ["Te-2", "Tm3", 0.6666666666666666], + ["Te-2", "Yb2", 1.0], + ["Te-2", "Yb3", 0.0], + ["Te-2", "Lu3", 1.0], + ["Te-2", "Hf2", 0.0], + ["Te-2", "Hf4", 1.0], + ["Te-2", "Ta1", 0.11764705882352941], + ["Te-2", "Ta2", 0.29411764705882354], + ["Te-2", "Ta3", 0.17647058823529413], + ["Te-2", "Ta4", 0.11764705882352941], + ["Te-2", "Ta5", 0.29411764705882354], + ["Te-2", "W2", 0.0], + ["Te-2", "W3", 0.0], + ["Te-2", "W4", 0.0], + ["Te-2", "W5", 0.0], + ["Te-2", "W6", 0.0], + ["Te-2", "Re2", 0.0], + ["Te-2", "Re3", 0.0], + ["Te-2", "Re4", 0.0], + ["Te-2", "Re5", 1.0], + ["Te-2", "Re6", 0.0], + ["Te-2", "Re7", 0.0], + ["Te-2", "Ir3", 0.0], + ["Te-2", "Ir4", 0.0], + ["Te-2", "Ir5", 0.0], + ["Te-2", "Ir6", 0.0], + ["Te-2", "Hg1", 0.0], + ["Te-2", "Hg2", 1.0], + ["Te-2", "Tl1", 1.0], + ["Te-2", "Tl3", 0.0], + ["Te-2", "Pb2", 1.0], + ["Te-2", "Pb4", 0.0], + ["Te-2", "Bi1", 0.0], + ["Te-2", "Bi2", 0.08333333333333333], + ["Te-2", "Bi3", 0.9166666666666666], + ["Te-2", "Bi5", 0.0], + ["Te-2", "Th3", 0.0], + ["Te-2", "Th4", 1.0], + ["Te-2", "U2", 0.1111111111111111], + ["Te-2", "U3", 0.1111111111111111], + ["Te-2", "U4", 0.7777777777777778], + ["Te-2", "U5", 0.0], + ["Te-2", "U6", 0.0] +] diff --git a/smact/data/solid_properties.txt b/smact/data/solid_properties.txt index 57b1a943..864e3349 100644 --- a/smact/data/solid_properties.txt +++ b/smact/data/solid_properties.txt @@ -1 +1 @@ -Symbol # Element Covalent Radius (pm) Eigenval H 1 Hydrogen 32 He 2 Helium 93 Li 3 Lithium 123 Be 4 Beryllium 90 4.14 B 5 Boron 82 6.64 C 6 Carbon 77 8.97 N 7 Nitrogen 75 11.47 O 8 Oxygen 73 14.13 F 9 Fluorine 72 16.99 Ne 10 Neon 71 20 Na 11 Sodium 154 Mg 12 Magnesium 136 2.99 Al 13 Aluminum 118 4.86 Si 14 Silicon 111 6.52 P 15 Phosphorus 106 8.33 S 16 Sulfur 102 10.27 Cl 17 Chlorine 99 12.31 Ar 18 Argon 98 14.5 K 19 Potassium 203 Ca 20 Calcium 174 Sc 21 Scandium 144 9.35 Ti 22 Titanium 132 11.04 V 23 Vanadium 122 12.55 Cr 24 Chromium 118 13.94 Mn 25 Manganese 117 15.27 Fe 26 Iron 117 16.54 Co 27 Cobalt 116 17.77 Ni 28 Nickel 115 18.96 Cu(d) 29 Copper 117 6.92 Cu(p) 29 Copper 117 1.15 Zn 30 Zinc 125 3.38 Ga 31 Gallium 126 4.9 Ge 32 Germanium 122 6.36 As 33 Arsenic 120 7.91 Se 34 Selenium 116 9.53 Br 35 Bromine 114 11.2 Kr 36 Krypton 112 13 Rb 37 Rubidium 216 Sr 38 Strontium 191 Y 39 Yttrium 162 6.8 Zr 40 Zirconium 145 8.46 Nb 41 Niobium 134 10.03 Mo 42 Molybdenum 130 11.56 Tc 43 Technetium 127 13.08 Ru 44 Ruthenium 125 14.59 Rh 45 Rhodium 125 16.16 Pd 46 Palladium 128 17.66 Ag(d) 47 Silver 134 19.21 Ag(p) 47 Silver 134 2.05 Cd 48 Cadmium 148 3.38 In 49 Indium 144 4.69 Sn 50 Tin 141 5.94 Sb 51 Antimony 141 7.24 Te 52 Tellurium 136 8.59 I 53 Iodine 133 9.97 Xe 54 Xenon 131 11.4 Cs 55 Cesium 235 Ba 56 Barium 198 La 57 Lanthanum 169 Ce 58 Cerium 165 Pr 59 Praseodymium 165 Nd 60 Neodymium 164 Pm 61 Promethium 163 Sm 62 Samarium 162 Eu 63 Europium 185 Gd 64 Gadolinium 161 Tb 65 Terbium 159 Dy 66 Dysprosium 159 Ho 67 Holmium 158 Er 68 Erbium 157 Tm 69 Thulium 156 Yb 70 Ytterbium 174 Lu 71 Lutetium 156 6.62 Hf 72 Hafnium 144 8.14 Ta 73 Tantalum 134 9.57 W 74 Tungsten 130 10.96 Re 75 Rhenium 128 12.35 Os 76 Osmium 126 13.73 Ir 77 Iridium 127 15.13 Pt 78 Platinum 130 16.55 Au(d) 79 Gold 134 17.98 Au(p) 79 Gold 134 2.38 Hg 80 Mercury 149 3.48 Tl 81 Thallium 148 4.61 Pb 82 Lead 147 5.77 Bi 83 Bismuth 146 6.97 Po 84 Polonium 146 8.19 At 85 Astatine 145 9.44 Th 90 Thorium 165 U 92 Uranium 142 \ No newline at end of file +Symbol # Element Covalent Radius (pm) Eigenval H 1 Hydrogen 32 He 2 Helium 93 Li 3 Lithium 123 Be 4 Beryllium 90 4.14 B 5 Boron 82 6.64 C 6 Carbon 77 8.97 N 7 Nitrogen 75 11.47 O 8 Oxygen 73 14.13 F 9 Fluorine 72 16.99 Ne 10 Neon 71 20 Na 11 Sodium 154 Mg 12 Magnesium 136 2.99 Al 13 Aluminum 118 4.86 Si 14 Silicon 111 6.52 P 15 Phosphorus 106 8.33 S 16 Sulfur 102 10.27 Cl 17 Chlorine 99 12.31 Ar 18 Argon 98 14.5 K 19 Potassium 203 Ca 20 Calcium 174 Sc 21 Scandium 144 9.35 Ti 22 Titanium 132 11.04 V 23 Vanadium 122 12.55 Cr 24 Chromium 118 13.94 Mn 25 Manganese 117 15.27 Fe 26 Iron 117 16.54 Co 27 Cobalt 116 17.77 Ni 28 Nickel 115 18.96 Cu(d) 29 Copper 117 6.92 Cu(p) 29 Copper 117 1.15 Zn 30 Zinc 125 3.38 Ga 31 Gallium 126 4.9 Ge 32 Germanium 122 6.36 As 33 Arsenic 120 7.91 Se 34 Selenium 116 9.53 Br 35 Bromine 114 11.2 Kr 36 Krypton 112 13 Rb 37 Rubidium 216 Sr 38 Strontium 191 Y 39 Yttrium 162 6.8 Zr 40 Zirconium 145 8.46 Nb 41 Niobium 134 10.03 Mo 42 Molybdenum 130 11.56 Tc 43 Technetium 127 13.08 Ru 44 Ruthenium 125 14.59 Rh 45 Rhodium 125 16.16 Pd 46 Palladium 128 17.66 Ag(d) 47 Silver 134 19.21 Ag(p) 47 Silver 134 2.05 Cd 48 Cadmium 148 3.38 In 49 Indium 144 4.69 Sn 50 Tin 141 5.94 Sb 51 Antimony 141 7.24 Te 52 Tellurium 136 8.59 I 53 Iodine 133 9.97 Xe 54 Xenon 131 11.4 Cs 55 Cesium 235 Ba 56 Barium 198 La 57 Lanthanum 169 Ce 58 Cerium 165 Pr 59 Praseodymium 165 Nd 60 Neodymium 164 Pm 61 Promethium 163 Sm 62 Samarium 162 Eu 63 Europium 185 Gd 64 Gadolinium 161 Tb 65 Terbium 159 Dy 66 Dysprosium 159 Ho 67 Holmium 158 Er 68 Erbium 157 Tm 69 Thulium 156 Yb 70 Ytterbium 174 Lu 71 Lutetium 156 6.62 Hf 72 Hafnium 144 8.14 Ta 73 Tantalum 134 9.57 W 74 Tungsten 130 10.96 Re 75 Rhenium 128 12.35 Os 76 Osmium 126 13.73 Ir 77 Iridium 127 15.13 Pt 78 Platinum 130 16.55 Au(d) 79 Gold 134 17.98 Au(p) 79 Gold 134 2.38 Hg 80 Mercury 149 3.48 Tl 81 Thallium 148 4.61 Pb 82 Lead 147 5.77 Bi 83 Bismuth 146 6.97 Po 84 Polonium 146 8.19 At 85 Astatine 145 9.44 Th 90 Thorium 165 U 92 Uranium 142 diff --git a/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json b/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json index bd2ca0c1..dfe4cd02 100644 --- a/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json +++ b/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json @@ -1 +1,101763 @@ 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3+",0.1578193316],["Co3+","I1+",-0.0088930762],["I1+","Co3+",-0.0088930762],["Co3+","Cs1+",0.0494216006],["Cs1+","Co3+",0.0494216006],["Co3+","La1+",-0.1801185946],["La1+","Co3+",-0.1801185946],["Co3+","Tb1+",-0.0505862331],["Tb1+","Co3+",-0.0505862331],["Co3+","Ta1+",0.1168611724],["Ta1+","Co3+",0.1168611724],["Co3+","Os1-",-0.1085869905],["Os1-","Co3+",-0.1085869905],["Co3+","Os1+",-0.0697259379],["Os1+","Co3+",-0.0697259379],["Co3+","Pt1-",-0.0304541188],["Pt1-","Co3+",-0.0304541188],["Co3+","Pt1+",0.1490842374],["Pt1+","Co3+",0.1490842374],["Co3+","Au1-",-0.2439858465],["Au1-","Co3+",-0.2439858465],["Co3+","Au1+",0.0505619298],["Au1+","Co3+",0.0505619298],["Co3+","Hg1+",0.259884092],["Hg1+","Co3+",0.259884092],["Co3+","Tl1+",0.2005052238],["Tl1+","Co3+",0.2005052238],["Co3+","Bi1+",-0.2878200602],["Bi1+","Co3+",-0.2878200602],["Ni2+","Ni2+",1.0],["Ni2+","Ni4+",0.4308270162],["Ni4+","Ni2+",0.4308270162],["Ni2+","Ni3+",0.6196243664],["Ni3+","Ni2+",0.6196243664],["Ni2+","Cu2+",0.5357957644],["Cu2+","Ni2+",0.5357957644],["Ni2+","Cu3+",0.2725549949],["Cu3+","Ni2+",0.2725549949],["Ni2+","Zn2+",0.5062543392],["Zn2+","Ni2+",0.5062543392],["Ni2+","Ga3+",0.4216316141],["Ga3+","Ni2+",0.4216316141],["Ni2+","Ga4+",0.2471274812],["Ga4+","Ni2+",0.2471274812],["Ni2+","Ga2+",0.0944002881],["Ga2+","Ni2+",0.0944002881],["Ni2+","Ge4-",0.3305480119],["Ge4-","Ni2+",0.3305480119],["Ni2+","Ge4+",0.4384439085],["Ge4+","Ni2+",0.4384439085],["Ni2+","Ge2-",0.3121281355],["Ge2-","Ni2+",0.3121281355],["Ni2+","Ge2+",0.0835817263],["Ge2+","Ni2+",0.0835817263],["Ni2+","Ge3+",0.2964964451],["Ge3+","Ni2+",0.2964964451],["Ni2+","As2-",0.1405629493],["As2-","Ni2+",0.1405629493],["Ni2+","As3+",0.0623931867],["As3+","Ni2+",0.0623931867],["Ni2+","As5+",0.3355044981],["As5+","Ni2+",0.3355044981],["Ni2+","As3-",0.1842370936],["As3-","Ni2+",0.1842370936],["Ni2+","As2+",0.233136019],["As2+","Ni2+",0.233136019],["Ni2+","As4+",0.2442269536],["As4+","Ni2+",0.2442269536],["Ni2+","Se2-",-0.0103011263],["Se2-","Ni2+",-0.0103011263],["Ni2+","Se4+",0.2144476817],["Se4+","Ni2+",0.2144476817],["Ni2+","Se6+",0.2530752306],["Se6+","Ni2+",0.2530752306],["Ni2+","Se5+",0.3806069087],["Se5+","Ni2+",0.3806069087],["Ni2+","Se2+",0.1061379907],["Se2+","Ni2+",0.1061379907],["Ni2+","Se3+",0.0957185718],["Se3+","Ni2+",0.0957185718],["Ni2+","Br2+",0.2440786629],["Br2+","Ni2+",0.2440786629],["Ni2+","Br5+",0.3585986602],["Br5+","Ni2+",0.3585986602],["Ni2+","Br3+",0.2694898954],["Br3+","Ni2+",0.2694898954],["Ni2+","Sr2+",0.4471515768],["Sr2+","Ni2+",0.4471515768],["Ni2+","Y3+",0.4493358191],["Y3+","Ni2+",0.4493358191],["Ni2+","Y2+",0.2675602654],["Y2+","Ni2+",0.2675602654],["Ni2+","Zr2+",-0.0487397043],["Zr2+","Ni2+",-0.0487397043],["Ni2+","Zr4+",0.3842379148],["Zr4+","Ni2+",0.3842379148],["Ni2+","Zr3+",0.1085871188],["Zr3+","Ni2+",0.1085871188],["Ni2+","Nb5+",0.5002567214],["Nb5+","Ni2+",0.5002567214],["Ni2+","Nb3+",0.3014483434],["Nb3+","Ni2+",0.3014483434],["Ni2+","Nb4+",0.3021355555],["Nb4+","Ni2+",0.3021355555],["Ni2+","Nb2+",0.2770675461],["Nb2+","Ni2+",0.2770675461],["Ni2+","Nb7+",0.3621089838],["Nb7+","Ni2+",0.3621089838],["Ni2+","Mo3+",0.3161377662],["Mo3+","Ni2+",0.3161377662],["Ni2+","Mo4+",0.5396078544],["Mo4+","Ni2+",0.5396078544],["Ni2+","Mo6+",0.5485099846],["Mo6+","Ni2+",0.5485099846],["Ni2+","Mo5+",0.2114630759],["Mo5+","Ni2+",0.2114630759],["Ni2+","Mo2+",0.2487147056],["Mo2+","Ni2+",0.2487147056],["Ni2+","Tc4+",0.0720528482],["Tc4+","Ni2+",0.0720528482],["Ni2+","Tc3-",-0.1107758099],["Tc3-","Ni2+",-0.1107758099],["Ni2+","Tc3+",0.0532856344],["Tc3+","Ni2+",0.0532856344],["Ni2+","Tc7+",0.3192626798],["Tc7+","Ni2+",0.3192626798],["Ni2+","Tc5+",0.2297879241],["Tc5+","Ni2+",0.2297879241],["Ni2+","Tc6+",0.062099401],["Tc6+","Ni2+",0.062099401],["Ni2+","Tc2-",0.0769491386],["Tc2-","Ni2+",0.0769491386],["Ni2+","Tc2+",0.0751435309],["Tc2+","Ni2+",0.0751435309],["Ni2+","Ru2+",0.2553822548],["Ru2+","Ni2+",0.2553822548],["Ni2+","Ru6+",0.4726630524],["Ru6+","Ni2+",0.4726630524],["Ni2+","Ru4+",0.2412028384],["Ru4+","Ni2+",0.2412028384],["Ni2+","Ru5+",0.5332783763],["Ru5+","Ni2+",0.5332783763],["Ni2+","Ru3+",0.3002597676],["Ru3+","Ni2+",0.3002597676],["Ni2+","Rh4+",0.2923297907],["Rh4+","Ni2+",0.2923297907],["Ni2+","Rh3+",0.3918932028],["Rh3+","Ni2+",0.3918932028],["Ni2+","Pd2+",0.4506789836],["Pd2+","Ni2+",0.4506789836],["Ni2+","Pd4+",0.2462683356],["Pd4+","Ni2+",0.2462683356],["Ni2+","Pd3+",0.3560480389],["Pd3+","Ni2+",0.3560480389],["Ni2+","Ag3+",0.3877675846],["Ag3+","Ni2+",0.3877675846],["Ni2+","Ag2+",0.1997943156],["Ag2+","Ni2+",0.1997943156],["Ni2+","Cd2+",0.3364521147],["Cd2+","Ni2+",0.3364521147],["Ni2+","In3+",0.4598631734],["In3+","Ni2+",0.4598631734],["Ni2+","In2+",0.2042099135],["In2+","Ni2+",0.2042099135],["Ni2+","Sn4+",0.4184950749],["Sn4+","Ni2+",0.4184950749],["Ni2+","Sn3+",0.4432792069],["Sn3+","Ni2+",0.4432792069],["Ni2+","Sn2+",0.3439965543],["Sn2+","Ni2+",0.3439965543],["Ni2+","Sb5+",0.3213498327],["Sb5+","Ni2+",0.3213498327],["Ni2+","Sb2-",-0.0739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Zn2+","I1+",0.0140767593],["I1+","Zn2+",0.0140767593],["Zn2+","Cs1+",0.3953740991],["Cs1+","Zn2+",0.3953740991],["Zn2+","La1+",-0.0329930685],["La1+","Zn2+",-0.0329930685],["Zn2+","Tb1+",0.084096457],["Tb1+","Zn2+",0.084096457],["Zn2+","Ta1+",0.3091839623],["Ta1+","Zn2+",0.3091839623],["Zn2+","Os1-",-0.0303718527],["Os1-","Zn2+",-0.0303718527],["Zn2+","Os1+",-0.1248348124],["Os1+","Zn2+",-0.1248348124],["Zn2+","Pt1-",0.0998354865],["Pt1-","Zn2+",0.0998354865],["Zn2+","Pt1+",0.0449358668],["Pt1+","Zn2+",0.0449358668],["Zn2+","Au1-",-0.1760326043],["Au1-","Zn2+",-0.1760326043],["Zn2+","Au1+",0.194579261],["Au1+","Zn2+",0.194579261],["Zn2+","Hg1+",0.2742468623],["Hg1+","Zn2+",0.2742468623],["Zn2+","Tl1+",0.3849203092],["Tl1+","Zn2+",0.3849203092],["Zn2+","Bi1+",0.0748309031],["Bi1+","Zn2+",0.0748309031],["Ga3+","Ga3+",1.0],["Ga3+","Ga4+",0.2618931484],["Ga4+","Ga3+",0.2618931484],["Ga3+","Ga2+",0.4834846294],["Ga2+","Ga3+",0.4834846294],["Ga3+","Ge4-",-0.1243668673],["Ge4-","Ga3+",-0.1243668673],["Ga3+","Ge4+",0.6493129424],["Ge4+","Ga3+",0.6493129424],["Ga3+","Ge2-",-0.0508691166],["Ge2-","Ga3+",-0.0508691166],["Ga3+","Ge2+",0.3459596595],["Ge2+","Ga3+",0.3459596595],["Ga3+","Ge3+",0.4459946877],["Ge3+","Ga3+",0.4459946877],["Ga3+","As2-",0.1355211529],["As2-","Ga3+",0.1355211529],["Ga3+","As3+",0.3702708014],["As3+","Ga3+",0.3702708014],["Ga3+","As5+",0.1663319544],["As5+","Ga3+",0.1663319544],["Ga3+","As3-",0.0999373946],["As3-","Ga3+",0.0999373946],["Ga3+","As2+",0.4035180711],["As2+","Ga3+",0.4035180711],["Ga3+","As4+",0.2179639824],["As4+","Ga3+",0.2179639824],["Ga3+","Se2-",0.0220658947],["Se2-","Ga3+",0.0220658947],["Ga3+","Se4+",0.2953631414],["Se4+","Ga3+",0.2953631414],["Ga3+","Se6+",0.1865823391],["Se6+","Ga3+",0.1865823391],["Ga3+","Se5+",0.1897106226],["Se5+","Ga3+",0.1897106226],["Ga3+","Se2+",0.2751326479],["Se2+","Ga3+",0.2751326479],["Ga3+","Se3+",0.1628566736],["Se3+","Ga3+",0.1628566736],["Ga3+","Br2+",0.4087967148],["Br2+","Ga3+",0.4087967148],["Ga3+","Br5+",0.2129347843],["Br5+","Ga3+",0.2129347843],["Ga3+","Br3+",0.0500902973],["Br3+","Ga3+",0.0500902973],["Ga3+","Sr2+",0.6540055356],["Sr2+","Ga3+",0.6540055356],["Ga3+","Y3+",0.4392392349],["Y3+","Ga3+",0.4392392349],["Ga3+","Y2+",0.0670450883],["Y2+","Ga3+",0.0670450883],["Ga3+","Zr2+",0.204117887],["Zr2+","Ga3+",0.204117887],["Ga3+","Zr4+",0.3625526889],["Zr4+","Ga3+",0.3625526889],["Ga3+","Zr3+",0.3204601751],["Zr3+","Ga3+",0.3204601751],["Ga3+","Nb5+",0.369974091],["Nb5+","Ga3+",0.369974091],["Ga3+","Nb3+",0.4645955141],["Nb3+","Ga3+",0.4645955141],["Ga3+","Nb4+",0.4288423031],["Nb4+","Ga3+",0.4288423031],["Ga3+","Nb2+",0.4019248029],["Nb2+","Ga3+",0.4019248029],["Ga3+","Nb7+",0.2090761746],["Nb7+","Ga3+",0.2090761746],["Ga3+","Mo3+",0.4712696603],["Mo3+","Ga3+",0.4712696603],["Ga3+","Mo4+",0.4141347271],["Mo4+","Ga3+",0.4141347271],["Ga3+","Mo6+",0.5021000107],["Mo6+","Ga3+",0.5021000107],["Ga3+","Mo5+",0.237968703],["Mo5+","Ga3+",0.237968703],["Ga3+","Mo2+",0.3878933402],["Mo2+","Ga3+",0.3878933402],["Ga3+","Tc4+",0.1013010335],["Tc4+","Ga3+",0.1013010335],["Ga3+","Tc3-",0.0632319457],["Tc3-","Ga3+",0.0632319457],["Ga3+","Tc3+",0.4436608977],["Tc3+","Ga3+",0.4436608977],["Ga3+","Tc7+",0.2051706885],["Tc7+","Ga3+",0.2051706885],["Ga3+","Tc5+",0.3790227999],["Tc5+","Ga3+",0.3790227999],["Ga3+","Tc6+",0.100845375],["Tc6+","Ga3+",0.100845375],["Ga3+","Tc2-",-0.0134368821],["Tc2-","Ga3+",-0.0134368821],["Ga3+","Tc2+",0.1860425631],["Tc2+","Ga3+",0.1860425631],["Ga3+","Ru2+",0.229830308],["Ru2+","Ga3+",0.229830308],["Ga3+","Ru6+",0.2626131761],["Ru6+","Ga3+",0.2626131761],["Ga3+","Ru4+",0.4211701607],["Ru4+","Ga3+",0.4211701607],["Ga3+","Ru5+",0.4927453222],["Ru5+","Ga3+",0.4927453222],["Ga3+","Ru3+",0.313695726],["Ru3+","Ga3+",0.313695726],["Ga3+","Rh4+",0.3744741685],["Rh4+","Ga3+",0.3744741685],["Ga3+","Rh3+",0.3631644549],["Rh3+","Ga3+",0.3631644549],["Ga3+","Pd2+",0.3197075296],["Pd2+","Ga3+",0.3197075296],["Ga3+","Pd4+",0.2063185076],["Pd4+","Ga3+",0.2063185076],["Ga3+","Pd3+",0.1993764188],["Pd3+","Ga3+",0.1993764188],["Ga3+","Ag3+",0.1648876627],["Ag3+","Ga3+",0.1648876627],["Ga3+","Ag2+",0.2739969494],["Ag2+","Ga3+",0.2739969494],["Ga3+","Cd2+",0.6681130954],["Cd2+","Ga3+",0.6681130954],["Ga3+","In3+",0.7515908589],["In3+","Ga3+",0.7515908589],["Ga3+","In2+",0.5035173384],["In2+","Ga3+",0.5035173384],["Ga3+","Sn4+",0.6378311482],["Sn4+","Ga3+",0.6378311482],["Ga3+","Sn3+",0.382225418],["Sn3+","Ga3+",0.382225418],["Ga3+","Sn2+",0.5335162279],["Sn2+","Ga3+",0.5335162279],["Ga3+","Sb5+",0.3650346729],["Sb5+","Ga3+",0.3650346729],["Ga3+","Sb2-",-0.1200432798],["Sb2-","Ga3+",-0.1200432798],["Ga3+","Sb3-",-0.0028814981],["Sb3-","Ga3+",-0.0028814981],["Ga3+","Sb3+",0.5600015267],["Sb3+","Ga3+",0.5600015267],["Ga3+","Sb4+",0.198454298],["Sb4+","Ga3+",0.198454298],["Ga3+","Te2-",0.1387830992],["Te2-","Ga3+",0.1387830992],["Ga3+","Te4+",0.4195418447],["Te4+","Ga3+",0.4195418447],["Ga3+","Te6+",0.2212476579],["Te6+","Ga3+",0.2212476579],["Ga3+","Te2+",0.2301432807],["Te2+","Ga3+",0.2301432807],["Ga3+","Te5+",0.4028603331],["Te5+","Ga3+",0.4028603331],["Ga3+","I3+",0.1225551491],["I3+","Ga3+",0.1225551491],["Ga3+","I7+",0.1703460873],["I7+","Ga3+",0.1703460873],["Ga3+","I5+",0.1662199599],["I5+","Ga3+",0.1662199599],["Ga3+","I2+",0.1445898397],["I2+","Ga3+",0.1445898397],["Ga3+","Ba2+",0.7175295801],["Ba2+","Ga3+",0.7175295801],["Ga3+","La3+",0.5534063797],["La3+","Ga3+",0.5534063797],["Ga3+","La2+",0.2422748562],["La2+","Ga3+",0.2422748562],["Ga3+","Ce3+",0.5202424228],["Ce3+","Ga3+",0.5202424228],["Ga3+","Ce2+",0.3177996951],["Ce2+","Ga3+",0.3177996951],["Ga3+","Ce4+",0.3627287005],["Ce4+","Ga3+",0.3627287005],["Ga3+","Pr3+",0.4988539857],["Pr3+","Ga3+",0.4988539857],["Ga3+","Pr4+",0.2482685231],["Pr4+","Ga3+",0.2482685231],["Ga3+","Pr2+",0.2752012155],["Pr2+","Ga3+",0.2752012155],["Ga3+","Nd3+",0.5386319946],["Nd3+","Ga3+",0.5386319946],["Ga3+","Nd2+",0.0960882484],["Nd2+","Ga3+",0.0960882484],["Ga3+","Pm3+",0.4325501185],["Pm3+","Ga3+",0.4325501185],["Ga3+","Sm3+",0.5525500494],["Sm3+","Ga3+",0.5525500494],["Ga3+","Sm2+",0.148104151],["Sm2+","Ga3+",0.148104151],["Ga3+","Eu2+",0.5106840955],["Eu2+","Ga3+",0.5106840955],["Ga3+","Eu3+",0.3497097645],["Eu3+","Ga3+",0.3497097645],["Ga3+","Gd2+",0.190583623],["Gd2+","Ga3+",0.190583623],["Ga3+","Gd3+",0.433094431],["Gd3+","Ga3+",0.433094431],["Ga3+","Tb3+",0.4725935528],["Tb3+","Ga3+",0.4725935528],["Ga3+","Tb2+",0.1316924141],["Tb2+","Ga3+",0.1316924141],["Ga3+","Tb4+",0.1565299975],["Tb4+","Ga3+",0.1565299975],["Ga3+","Dy3+",0.3687205672],["Dy3+","Ga3+",0.3687205672],["Ga3+","Dy2+",0.0617014722],["Dy2+","Ga3+",0.0617014722],["Ga3+","Ho3+",0.4211427162],["Ho3+","Ga3+",0.4211427162],["Ga3+","Ho2+",0.2093792693],["Ho2+","Ga3+",0.2093792693],["Ga3+","Er3+",0.3639833314],["Er3+","Ga3+",0.3639833314],["Ga3+","Tm3+",0.3659580266],["Tm3+","Ga3+",0.3659580266],["Ga3+","Tm2+",0.2090838823],["Tm2+","Ga3+",0.2090838823],["Ga3+","Yb3+",0.3201290455],["Yb3+","Ga3+",0.3201290455],["Ga3+","Yb2+",0.3320110024],["Yb2+","Ga3+",0.3320110024],["Ga3+","Lu3+",0.2150232672],["Lu3+","Ga3+",0.2150232672],["Ga3+","Hf3+",0.5212787788],["Hf3+","Ga3+",0.5212787788],["Ga3+","Hf2+",0.1260313008],["Hf2+","Ga3+",0.1260313008],["Ga3+","Hf4+",0.3916525916],["Hf4+","Ga3+",0.3916525916],["Ga3+","Ta5+",0.4860447541],["Ta5+","Ga3+",0.4860447541],["Ga3+","Ta3+",0.3440798975],["Ta3+","Ga3+",0.3440798975],["Ga3+","Ta4+",0.4501068866],["Ta4+","Ga3+",0.4501068866],["Ga3+","Ta2+",0.2479914126],["Ta2+","Ga3+",0.2479914126],["Ga3+","W6+",0.3658984623],["W6+","Ga3+",0.3658984623],["Ga3+","W4+",0.4371680825],["W4+","Ga3+",0.4371680825],["Ga3+","W2+",0.4155090914],["W2+","Ga3+",0.4155090914],["Ga3+","W3+",0.3953025641],["W3+","Ga3+",0.3953025641],["Ga3+","W5+",0.4257010039],["W5+","Ga3+",0.4257010039],["Ga3+","Re5+",0.4429130381],["Re5+","Ga3+",0.4429130381],["Ga3+","Re3+",0.3654396903],["Re3+","Ga3+",0.3654396903],["Ga3+","Re6+",0.2973499045],["Re6+","Ga3+",0.2973499045],["Ga3+","Re2+",0.109643657],["Re2+","Ga3+",0.109643657],["Ga3+","Re4+",0.4349007001],["Re4+","Ga3+",0.4349007001],["Ga3+","Re7+",0.390319842],["Re7+","Ga3+",0.390319842],["Ga3+","Os7+",0.1555620707],["Os7+","Ga3+",0.1555620707],["Ga3+","Os6+",0.1431721403],["Os6+","Ga3+",0.1431721403],["Ga3+","Os5+",0.5017137357],["Os5+","Ga3+",0.5017137357],["Ga3+","Os2-",0.0185285705],["Os2-","Ga3+",0.0185285705],["Ga3+","Os3+",0.3210168717],["Os3+","Ga3+",0.3210168717],["Ga3+","Os4+",0.3974657929],["Os4+","Ga3+",0.3974657929],["Ga3+","Os8+",0.1635570442],["Os8+","Ga3+",0.1635570442],["Ga3+","Os2+",0.1809816729],["Os2+","Ga3+",0.1809816729],["Ga3+","Ir3+",0.2659218056],["Ir3+","Ga3+",0.2659218056],["Ga3+","Ir4+",0.4467468647],["Ir4+","Ga3+",0.4467468647],["Ga3+","Ir5+",0.5322886812],["Ir5+","Ga3+",0.5322886812],["Ga3+","Ir6+",0.2400843851],["Ir6+","Ga3+",0.2400843851],["Ga3+","Pt2+",0.2777161807],["Pt2+","Ga3+",0.2777161807],["Ga3+","Pt2-",0.0324072785],["Pt2-","Ga3+",0.0324072785],["Ga3+","Pt4+",0.4408331368],["Pt4+","Ga3+",0.4408331368],["Ga3+","Pt3+",0.2226138372],["Pt3+","Ga3+",0.2226138372],["Ga3+","Pt5+",0.3558832712],["Pt5+","Ga3+",0.3558832712],["Ga3+","Pt6+",0.1516544293],["Pt6+","Ga3+",0.1516544293],["Ga3+","Au2+",0.1849647951],["Au2+","Ga3+",0.1849647951],["Ga3+","Au3+",0.3956991618],["Au3+","Ga3+",0.3956991618],["Ga3+","Au5+",0.2240684691],["Au5+","Ga3+",0.2240684691],["Ga3+","Au4+",0.1278374098],["Au4+","Ga3+",0.1278374098],["Ga3+","Hg2+",0.4378154924],["Hg2+","Ga3+",0.4378154924],["Ga3+","Tl3+",0.3405262961],["Tl3+","Ga3+",0.3405262961],["Ga3+","Tl2+",0.4926778672],["Tl2+","Ga3+",0.4926778672],["Ga3+","Pb2+",0.5638428532],["Pb2+","Ga3+",0.5638428532],["Ga3+","Pb3+",0.2470285337],["Pb3+","Ga3+",0.2470285337],["Ga3+","Pb4+",0.2842173577],["Pb4+","Ga3+",0.2842173577],["Ga3+","Bi3+",0.6555340944],["Bi3+","Ga3+",0.6555340944],["Ga3+","Bi5+",0.281933659],["Bi5+","Ga3+",0.281933659],["Ga3+","Bi2+",0.3001372533],["Bi2+","Ga3+",0.3001372533],["Ga3+","Bi3-",0.0641122959],["Bi3-","Ga3+",0.0641122959],["Ga3+","Bi4+",0.1634549778],["Bi4+","Ga3+",0.1634549778],["Ga3+","Ac3+",0.367641041],["Ac3+","Ga3+",0.367641041],["Ga3+","Th4+",0.2885851269],["Th4+","Ga3+",0.2885851269],["Ga3+","Th3+",0.375232285],["Th3+","Ga3+",0.375232285],["Ga3+","Pa4+",0.3659434043],["Pa4+","Ga3+",0.3659434043],["Ga3+","Pa5+",0.2850361747],["Pa5+","Ga3+",0.2850361747],["Ga3+","Pa3+",0.303485039],["Pa3+","Ga3+",0.303485039],["Ga3+","U6+",0.2892816957],["U6+","Ga3+",0.2892816957],["Ga3+","U4+",0.3475748555],["U4+","Ga3+",0.3475748555],["Ga3+","U3+",0.3005201932],["U3+","Ga3+",0.3005201932],["Ga3+","U2+",0.4288792691],["U2+","Ga3+",0.4288792691],["Ga3+","U5+",0.157403968],["U5+","Ga3+",0.157403968],["Ga3+","Np6+",0.2929966233],["Np6+","Ga3+",0.2929966233],["Ga3+","Np4+",0.1531188911],["Np4+","Ga3+",0.1531188911],["Ga3+","Np3+",0.4370895608],["Np3+","Ga3+",0.4370895608],["Ga3+","Np7+",0.3112926359],["Np7+","Ga3+",0.3112926359],["Ga3+","Np5+",0.5504762379],["Np5+","Ga3+",0.5504762379],["Ga3+","Pu7+",0.2575008622],["Pu7+","Ga3+",0.2575008622],["Ga3+","Pu6+",0.2099794013],["Pu6+","Ga3+",0.2099794013],["Ga3+","Pu3+",0.3658600113],["Pu3+","Ga3+",0.3658600113],["Ga3+","Pu4+",0.1695766403],["Pu4+","Ga3+",0.1695766403],["Ga3+","Pu5+",0.380207872],["Pu5+","Ga3+",0.380207872],["Ga3+","H1+",0.0860062656],["H1+","Ga3+",0.0860062656],["Ga3+","H1-",0.0942089418],["H1-","Ga3+",0.0942089418],["Ga3+","Li1+",0.4812281079],["Li1+","Ga3+",0.4812281079],["Ga3+","B1+",0.1229973945],["B1+","Ga3+",0.1229973945],["Ga3+","B1-",-0.2963013491],["B1-","Ga3+",-0.2963013491],["Ga3+","C1-",0.1884948174],["C1-","Ga3+",0.1884948174],["Ga3+","C1+",0.261784255],["C1+","Ga3+",0.261784255],["Ga3+","N1-",0.1121600081],["N1-","Ga3+",0.1121600081],["Ga3+","N1+",0.1158484476],["N1+","Ga3+",0.1158484476],["Ga3+","O1-",0.0461343411],["O1-","Ga3+",0.0461343411],["Ga3+","F1-",0.0008531568],["F1-","Ga3+",0.0008531568],["Ga3+","Na1+",0.6189991675],["Na1+","Ga3+",0.6189991675],["Ga3+","Si1-",0.0233574941],["Si1-","Ga3+",0.0233574941],["Ga3+","P1+",0.1689944797],["P1+","Ga3+",0.1689944797],["Ga3+","P1-",-0.1246408572],["P1-","Ga3+",-0.1246408572],["Ga3+","S1-",0.0641480829],["S1-","Ga3+",0.0641480829],["Ga3+","S1+",0.1999940328],["S1+","Ga3+",0.1999940328],["Ga3+","Cl1-",0.095285327],["Cl1-","Ga3+",0.095285327],["Ga3+","K1+",0.6592883998],["K1+","Ga3+",0.6592883998],["Ga3+","Sc1+",0.185680816],["Sc1+","Ga3+",0.185680816],["Ga3+","Mn1+",0.2606867793],["Mn1+","Ga3+",0.2606867793],["Ga3+","Fe1+",0.2264305293],["Fe1+","Ga3+",0.2264305293],["Ga3+","Co1+",0.2557454408],["Co1+","Ga3+",0.2557454408],["Ga3+","Ni1+",0.348413426],["Ni1+","Ga3+",0.348413426],["Ga3+","Cu1+",0.5618401611],["Cu1+","Ga3+",0.5618401611],["Ga3+","Ga1+",0.3110158737],["Ga1+","Ga3+",0.3110158737],["Ga3+","As1-",-0.0109581131],["As1-","Ga3+",-0.0109581131],["Ga3+","As1+",0.3321866994],["As1+","Ga3+",0.3321866994],["Ga3+","Se1-",0.1324886804],["Se1-","Ga3+",0.1324886804],["Ga3+","Se1+",0.2367947347],["Se1+","Ga3+",0.2367947347],["Ga3+","Br1-",0.0351051013],["Br1-","Ga3+",0.0351051013],["Ga3+","Br1+",0.1453753412],["Br1+","Ga3+",0.1453753412],["Ga3+","Rb1+",0.555422683],["Rb1+","Ga3+",0.555422683],["Ga3+","Y1+",0.1055011938],["Y1+","Ga3+",0.1055011938],["Ga3+","Zr1+",0.2687118107],["Zr1+","Ga3+",0.2687118107],["Ga3+","Nb1+",0.3854931441],["Nb1+","Ga3+",0.3854931441],["Ga3+","Tc1-",0.1491700555],["Tc1-","Ga3+",0.1491700555],["Ga3+","Tc1+",0.4450700218],["Tc1+","Ga3+",0.4450700218],["Ga3+","Rh1+",0.150911926],["Rh1+","Ga3+",0.150911926],["Ga3+","Ag1+",0.6060168163],["Ag1+","Ga3+",0.6060168163],["Ga3+","In1+",0.2803645444],["In1+","Ga3+",0.2803645444],["Ga3+","Sb1-",-0.0254274329],["Sb1-","Ga3+",-0.0254274329],["Ga3+","Sb1+",0.2358032548],["Sb1+","Ga3+",0.2358032548],["Ga3+","Te1-",0.025231129],["Te1-","Ga3+",0.025231129],["Ga3+","Te1+",0.2669605418],["Te1+","Ga3+",0.2669605418],["Ga3+","I1-",0.0070158],["I1-","Ga3+",0.0070158],["Ga3+","I1+",0.0891104672],["I1+","Ga3+",0.0891104672],["Ga3+","Cs1+",0.6067131714],["Cs1+","Ga3+",0.6067131714],["Ga3+","La1+",0.0043300571],["La1+","Ga3+",0.0043300571],["Ga3+","Tb1+",0.0497570496],["Tb1+","Ga3+",0.0497570496],["Ga3+","Ta1+",0.4068862602],["Ta1+","Ga3+",0.4068862602],["Ga3+","Os1-",0.1437044278],["Os1-","Ga3+",0.1437044278],["Ga3+","Os1+",0.0252232168],["Os1+","Ga3+",0.0252232168],["Ga3+","Pt1-",0.1598143231],["Pt1-","Ga3+",0.1598143231],["Ga3+","Pt1+",0.2259588618],["Pt1+","Ga3+",0.2259588618],["Ga3+","Au1-",-0.1674987917],["Au1-","Ga3+",-0.1674987917],["Ga3+","Au1+",0.3132242368],["Au1+","Ga3+",0.3132242368],["Ga3+","Hg1+",0.3015837566],["Hg1+","Ga3+",0.3015837566],["Ga3+","Tl1+",0.5869907001],["Tl1+","Ga3+",0.5869907001],["Ga3+","Bi1+",0.1976514154],["Bi1+","Ga3+",0.1976514154],["Ga4+","Ga4+",1.0],["Ga4+","Ga2+",0.0899515849],["Ga2+","Ga4+",0.0899515849],["Ga4+","Ge4-",0.1211007368],["Ge4-","Ga4+",0.1211007368],["Ga4+","Ge4+",0.2666699699],["Ge4+","Ga4+",0.2666699699],["Ga4+","Ge2-",0.136896561],["Ge2-","Ga4+",0.136896561],["Ga4+","Ge2+",0.1845691402],["Ge2+","Ga4+",0.1845691402],["Ga4+","Ge3+",0.0794863349],["Ge3+","Ga4+",0.0794863349],["Ga4+","As2-",-0.0679875428],["As2-","Ga4+",-0.0679875428],["Ga4+","As3+",0.1133345502],["As3+","Ga4+",0.1133345502],["Ga4+","As5+",0.215167228],["As5+","Ga4+",0.215167228],["Ga4+","As3-",-0.0363262663],["As3-","Ga4+",-0.0363262663],["Ga4+","As2+",0.2180996581],["As2+","Ga4+",0.2180996581],["Ga4+","As4+",0.197857748],["As4+","Ga4+",0.197857748],["Ga4+","Se2-",0.2617021851],["Se2-","Ga4+",0.2617021851],["Ga4+","Se4+",0.4569757485],["Se4+","Ga4+",0.4569757485],["Ga4+","Se6+",0.2950605124],["Se6+","Ga4+",0.2950605124],["Ga4+","Se5+",0.2927197105],["Se5+","Ga4+",0.2927197105],["Ga4+","Se2+",0.14822769],["Se2+","Ga4+",0.14822769],["Ga4+","Se3+",0.3347137463],["Se3+","Ga4+",0.3347137463],["Ga4+","Br2+",0.3734930361],["Br2+","Ga4+",0.3734930361],["Ga4+","Br5+",0.2626749435],["Br5+","Ga4+",0.2626749435],["Ga4+","Br3+",0.250693973],["Br3+","Ga4+",0.250693973],["Ga4+","Sr2+",0.2980034824],["Sr2+","Ga4+",0.2980034824],["Ga4+","Y3+",0.3359134423],["Y3+","Ga4+",0.3359134423],["Ga4+","Y2+",0.3324349487],["Y2+","Ga4+",0.3324349487],["Ga4+","Zr2+",0.0300001541],["Zr2+","Ga4+",0.0300001541],["Ga4+","Zr4+",0.2524007444],["Zr4+","Ga4+",0.2524007444],["Ga4+","Zr3+",0.1746955061],["Zr3+","Ga4+",0.1746955061],["Ga4+","Nb5+",0.2622685744],["Nb5+","Ga4+",0.2622685744],["Ga4+","Nb3+",0.1818700372],["Nb3+","Ga4+",0.1818700372],["Ga4+","Nb4+",0.0706290228],["Nb4+","Ga4+",0.0706290228],["Ga4+","Nb2+",0.077742081],["Nb2+","Ga4+",0.077742081],["Ga4+","Nb7+",0.2654669315],["Nb7+","Ga4+",0.2654669315],["Ga4+","Mo3+",0.1383985149],["Mo3+","Ga4+",0.1383985149],["Ga4+","Mo4+",0.2910029324],["Mo4+","Ga4+",0.2910029324],["Ga4+","Mo6+",0.3721579969],["Mo6+","Ga4+",0.3721579969],["Ga4+","Mo5+",0.2164606345],["Mo5+","Ga4+",0.2164606345],["Ga4+","Mo2+",0.0947772845],["Mo2+","Ga4+",0.0947772845],["Ga4+","Tc4+",0.0547503088],["Tc4+","Ga4+",0.0547503088],["Ga4+","Tc3-",-0.0317243475],["Tc3-","Ga4+",-0.0317243475],["Ga4+","Tc3+",0.0633921488],["Tc3+","Ga4+",0.0633921488],["Ga4+","Tc7+",0.0648476994],["Tc7+","Ga4+",0.0648476994],["Ga4+","Tc5+",0.2912772653],["Tc5+","Ga4+",0.2912772653],["Ga4+","Tc6+",-0.0070502309],["Tc6+","Ga4+",-0.0070502309],["Ga4+","Tc2-",0.060208736],["Tc2-","Ga4+",0.060208736],["Ga4+","Tc2+",0.1015841087],["Tc2+","Ga4+",0.1015841087],["Ga4+","Ru2+",0.0994345212],["Ru2+","Ga4+",0.0994345212],["Ga4+","Ru6+",0.1753218818],["Ru6+","Ga4+",0.1753218818],["Ga4+","Ru4+",0.3612242732],["Ru4+","Ga4+",0.3612242732],["Ga4+","Ru5+",0.2584436921],["Ru5+","Ga4+",0.2584436921],["Ga4+","Ru3+",0.1058419255],["Ru3+","Ga4+",0.1058419255],["Ga4+","Rh4+",0.3080909862],["Rh4+","Ga4+",0.3080909862],["Ga4+","Rh3+",0.2396328451],["Rh3+","Ga4+",0.2396328451],["Ga4+","Pd2+",0.1157073742],["Pd2+","Ga4+",0.1157073742],["Ga4+","Pd4+",0.0554322663],["Pd4+","Ga4+",0.0554322663],["Ga4+","Pd3+",-0.0049440783],["Pd3+","Ga4+",-0.0049440783],["Ga4+","Ag3+",0.3569667038],["Ag3+","Ga4+",0.3569667038],["Ga4+","Ag2+",0.1700887019],["Ag2+","Ga4+",0.1700887019],["Ga4+","Cd2+",0.1252183623],["Cd2+","Ga4+",0.1252183623],["Ga4+","In3+",0.2981422253],["In3+","Ga4+",0.2981422253],["Ga4+","In2+",0.0196017401],["In2+","Ga4+",0.0196017401],["Ga4+","Sn4+",0.2702497888],["Sn4+","Ga4+",0.2702497888],["Ga4+","Sn3+",0.2139627789],["Sn3+","Ga4+",0.2139627789],["Ga4+","Sn2+",0.1518242209],["Sn2+","Ga4+",0.1518242209],["Ga4+","Sb5+",0.353652322],["Sb5+","Ga4+",0.353652322],["Ga4+","Sb2-",0.1218981111],["Sb2-","Ga4+",0.1218981111],["Ga4+","Sb3-",0.0604401867],["Sb3-","Ga4+",0.0604401867],["Ga4+","Sb3+",0.1814517841],["Sb3+","Ga4+",0.1814517841],["Ga4+","Sb4+",0.2640792318],["Sb4+","Ga4+",0.2640792318],["Ga4+","Te2-",0.3154747837],["Te2-","Ga4+",0.3154747837],["Ga4+","Te4+",0.3402821798],["Te4+","Ga4+",0.3402821798],["Ga4+","Te6+",0.3018556955],["Te6+","Ga4+",0.3018556955],["Ga4+","Te2+",-0.0801232474],["Te2+","Ga4+",-0.0801232474],["Ga4+","Te5+",0.3126324056],["Te5+","Ga4+",0.3126324056],["Ga4+","I3+",0.2893932479],["I3+","Ga4+",0.2893932479],["Ga4+","I7+",0.2391001431],["I7+","Ga4+",0.2391001431],["Ga4+","I5+",0.3343362645],["I5+","Ga4+",0.3343362645],["Ga4+","I2+",0.2652084987],["I2+","Ga4+",0.2652084987],["Ga4+","Ba2+",0.2148379994],["Ba2+","Ga4+",0.2148379994],["Ga4+","La3+",0.2905880559],["La3+","Ga4+",0.2905880559],["Ga4+","La2+",0.0844944367],["La2+","Ga4+",0.0844944367],["Ga4+","Ce3+",0.1839920733],["Ce3+","Ga4+",0.1839920733],["Ga4+","Ce2+",0.0460261098],["Ce2+","Ga4+",0.0460261098],["Ga4+","Ce4+",0.3497694595],["Ce4+","Ga4+",0.3497694595],["Ga4+","Pr3+",0.1695589231],["Pr3+","Ga4+",0.1695589231],["Ga4+","Pr4+",0.265578247],["Pr4+","Ga4+",0.265578247],["Ga4+","Pr2+",0.0315286211],["Pr2+","Ga4+",0.0315286211],["Ga4+","Nd3+",0.2708592871],["Nd3+","Ga4+",0.2708592871],["Ga4+","Nd2+",0.111473556],["Nd2+","Ga4+",0.111473556],["Ga4+","Pm3+",0.2015025157],["Pm3+","Ga4+",0.2015025157],["Ga4+","Sm3+",0.2193919838],["Sm3+","Ga4+",0.2193919838],["Ga4+","Sm2+",0.0357949978],["Sm2+","Ga4+",0.0357949978],["Ga4+","Eu2+",0.1778922996],["Eu2+","Ga4+",0.1778922996],["Ga4+","Eu3+",0.3900544948],["Eu3+","Ga4+",0.3900544948],["Ga4+","Gd2+",-0.0191305276],["Gd2+","Ga4+",-0.0191305276],["Ga4+","Gd3+",0.2143513776],["Gd3+","Ga4+",0.2143513776],["Ga4+","Tb3+",0.2513420608],["Tb3+","Ga4+",0.2513420608],["Ga4+","Tb2+",0.0016022267],["Tb2+","Ga4+",0.0016022267],["Ga4+","Tb4+",0.2294002855],["Tb4+","Ga4+",0.2294002855],["Ga4+","Dy3+",0.2609849177],["Dy3+","Ga4+",0.2609849177],["Ga4+","Dy2+",0.0926389504],["Dy2+","Ga4+",0.0926389504],["Ga4+","Ho3+",0.2925748013],["Ho3+","Ga4+",0.2925748013],["Ga4+","Ho2+",0.0690712149],["Ho2+","Ga4+",0.0690712149],["Ga4+","Er3+",0.2433010307],["Er3+","Ga4+",0.2433010307],["Ga4+","Tm3+",0.2271981496],["Tm3+","Ga4+",0.2271981496],["Ga4+","Tm2+",0.0645837819],["Tm2+","Ga4+",0.0645837819],["Ga4+","Yb3+",0.2474919788],["Yb3+","Ga4+",0.2474919788],["Ga4+","Yb2+",0.0246285824],["Yb2+","Ga4+",0.0246285824],["Ga4+","Lu3+",0.2510011503],["Lu3+","Ga4+",0.2510011503],["Ga4+","Hf3+",0.1869039427],["Hf3+","Ga4+",0.1869039427],["Ga4+","Hf2+",-0.0111527292],["Hf2+","Ga4+",-0.0111527292],["Ga4+","Hf4+",0.3351166785],["Hf4+","Ga4+",0.3351166785],["Ga4+","Ta5+",0.3534436093],["Ta5+","Ga4+",0.3534436093],["Ga4+","Ta3+",0.0419007833],["Ta3+","Ga4+",0.0419007833],["Ga4+","Ta4+",0.2288933978],["Ta4+","Ga4+",0.2288933978],["Ga4+","Ta2+",-0.0294888246],["Ta2+","Ga4+",-0.0294888246],["Ga4+","W6+",0.3621098231],["W6+","Ga4+",0.3621098231],["Ga4+","W4+",0.375736337],["W4+","Ga4+",0.375736337],["Ga4+","W2+",0.153939089],["W2+","Ga4+",0.153939089],["Ga4+","W3+",0.1972486142],["W3+","Ga4+",0.1972486142],["Ga4+","W5+",0.2502706108],["W5+","Ga4+",0.2502706108],["Ga4+","Re5+",0.3692092402],["Re5+","Ga4+",0.3692092402],["Ga4+","Re3+",0.0634023561],["Re3+","Ga4+",0.0634023561],["Ga4+","Re6+",0.1735367105],["Re6+","Ga4+",0.1735367105],["Ga4+","Re2+",0.2000412091],["Re2+","Ga4+",0.2000412091],["Ga4+","Re4+",0.1544410359],["Re4+","Ga4+",0.1544410359],["Ga4+","Re7+",0.1820577437],["Re7+","Ga4+",0.1820577437],["Ga4+","Os7+",0.1687755439],["Os7+","Ga4+",0.1687755439],["Ga4+","Os6+",0.310900888],["Os6+","Ga4+",0.310900888],["Ga4+","Os5+",0.1844362278],["Os5+","Ga4+",0.1844362278],["Ga4+","Os2-",-0.1867679251],["Os2-","Ga4+",-0.1867679251],["Ga4+","Os3+",0.1621986797],["Os3+","Ga4+",0.1621986797],["Ga4+","Os4+",0.2301273663],["Os4+","Ga4+",0.2301273663],["Ga4+","Os8+",0.1243310897],["Os8+","Ga4+",0.1243310897],["Ga4+","Os2+",0.2845855638],["Os2+","Ga4+",0.2845855638],["Ga4+","Ir3+",0.0692353277],["Ir3+","Ga4+",0.0692353277],["Ga4+","Ir4+",0.1606015456],["Ir4+","Ga4+",0.1606015456],["Ga4+","Ir5+",0.2338762834],["Ir5+","Ga4+",0.2338762834],["Ga4+","Ir6+",0.2755783394],["Ir6+","Ga4+",0.2755783394],["Ga4+","Pt2+",0.1025221947],["Pt2+","Ga4+",0.1025221947],["Ga4+","Pt2-",-0.0377522147],["Pt2-","Ga4+",-0.0377522147],["Ga4+","Pt4+",0.1498892522],["Pt4+","Ga4+",0.1498892522],["Ga4+","Pt3+",0.1344309659],["Pt3+","Ga4+",0.1344309659],["Ga4+","Pt5+",-0.0192879693],["Pt5+","Ga4+",-0.0192879693],["Ga4+","Pt6+",0.1005643389],["Pt6+","Ga4+",0.1005643389],["Ga4+","Au2+",0.1811113055],["Au2+","Ga4+",0.1811113055],["Ga4+","Au3+",0.0037662312],["Au3+","Ga4+",0.0037662312],["Ga4+","Au5+",0.045459467],["Au5+","Ga4+",0.045459467],["Ga4+","Au4+",-0.012021439],["Au4+","Ga4+",-0.012021439],["Ga4+","Hg2+",0.0802784693],["Hg2+","Ga4+",0.0802784693],["Ga4+","Tl3+",0.1308829874],["Tl3+","Ga4+",0.1308829874],["Ga4+","Tl2+",0.2594412663],["Tl2+","Ga4+",0.2594412663],["Ga4+","Pb2+",0.3617674855],["Pb2+","Ga4+",0.3617674855],["Ga4+","Pb3+",0.2307685226],["Pb3+","Ga4+",0.2307685226],["Ga4+","Pb4+",0.2677948909],["Pb4+","Ga4+",0.2677948909],["Ga4+","Bi3+",0.3676636485],["Bi3+","Ga4+",0.3676636485],["Ga4+","Bi5+",0.2583643072],["Bi5+","Ga4+",0.2583643072],["Ga4+","Bi2+",0.2394006109],["Bi2+","Ga4+",0.2394006109],["Ga4+","Bi3-",0.1284179577],["Bi3-","Ga4+",0.1284179577],["Ga4+","Bi4+",0.1743927753],["Bi4+","Ga4+",0.1743927753],["Ga4+","Ac3+",0.0772668154],["Ac3+","Ga4+",0.0772668154],["Ga4+","Th4+",0.066823627],["Th4+","Ga4+",0.066823627],["Ga4+","Th3+",-0.0069104712],["Th3+","Ga4+",-0.0069104712],["Ga4+","Pa4+",-0.0314645896],["Pa4+","Ga4+",-0.0314645896],["Ga4+","Pa5+",0.234998135],["Pa5+","Ga4+",0.234998135],["Ga4+","Pa3+",-0.0498683839],["Pa3+","Ga4+",-0.0498683839],["Ga4+","U6+",0.3349882744],["U6+","Ga4+",0.3349882744],["Ga4+","U4+",0.0057270851],["U4+","Ga4+",0.0057270851],["Ga4+","U3+",-0.0623467422],["U3+","Ga4+",-0.0623467422],["Ga4+","U2+",0.0363406188],["U2+","Ga4+",0.0363406188],["Ga4+","U5+",0.1931976702],["U5+","Ga4+",0.1931976702],["Ga4+","Np6+",0.1770024834],["Np6+","Ga4+",0.1770024834],["Ga4+","Np4+",-0.1049536982],["Np4+","Ga4+",-0.1049536982],["Ga4+","Np3+",0.1116816516],["Np3+","Ga4+",0.1116816516],["Ga4+","Np7+",0.2961465263],["Np7+","Ga4+",0.2961465263],["Ga4+","Np5+",0.1928728578],["Np5+","Ga4+",0.1928728578],["Ga4+","Pu7+",0.3811894465],["Pu7+","Ga4+",0.3811894465],["Ga4+","Pu6+",0.1987266787],["Pu6+","Ga4+",0.1987266787],["Ga4+","Pu3+",0.209963277],["Pu3+","Ga4+"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"Zr4+",0.0419256496],["Zr4+","Ga2+",0.0419256496],["Ga2+","Zr3+",0.3900265498],["Zr3+","Ga2+",0.3900265498],["Ga2+","Nb5+",0.1544937189],["Nb5+","Ga2+",0.1544937189],["Ga2+","Nb3+",0.3963581198],["Nb3+","Ga2+",0.3963581198],["Ga2+","Nb4+",0.2237902249],["Nb4+","Ga2+",0.2237902249],["Ga2+","Nb2+",0.5654970244],["Nb2+","Ga2+",0.5654970244],["Ga2+","Nb7+",0.0892156256],["Nb7+","Ga2+",0.0892156256],["Ga2+","Mo3+",0.2790217452],["Mo3+","Ga2+",0.2790217452],["Ga2+","Mo4+",0.2059042782],["Mo4+","Ga2+",0.2059042782],["Ga2+","Mo6+",0.0529215432],["Mo6+","Ga2+",0.0529215432],["Ga2+","Mo5+",-0.0313470842],["Mo5+","Ga2+",-0.0313470842],["Ga2+","Mo2+",0.4496353673],["Mo2+","Ga2+",0.4496353673],["Ga2+","Tc4+",0.1420043271],["Tc4+","Ga2+",0.1420043271],["Ga2+","Tc3-",0.162381312],["Tc3-","Ga2+",0.162381312],["Ga2+","Tc3+",0.3153206055],["Tc3+","Ga2+",0.3153206055],["Ga2+","Tc7+",-0.0901990407],["Tc7+","Ga2+",-0.0901990407],["Ga2+","Tc5+",0.2130452943],["Tc5+","Ga2+",0.2130452943],["Ga2+","Tc6+",-0.2325086317],["Tc6+","Ga2+",-0.2325086317],["Ga2+","Tc2-",-0.0242921804],["Tc2-","Ga2+",-0.0242921804],["Ga2+","Tc2+",0.2794134195],["Tc2+","Ga2+",0.2794134195],["Ga2+","Ru2+",0.367008958],["Ru2+","Ga2+",0.367008958],["Ga2+","Ru6+",0.1375780705],["Ru6+","Ga2+",0.1375780705],["Ga2+","Ru4+",0.2366447342],["Ru4+","Ga2+",0.2366447342],["Ga2+","Ru5+",0.1562047256],["Ru5+","Ga2+",0.1562047256],["Ga2+","Ru3+",0.1341429139],["Ru3+","Ga2+",0.1341429139],["Ga2+","Rh4+",0.1923281306],["Rh4+","Ga2+",0.1923281306],["Ga2+","Rh3+",0.1907171324],["Rh3+","Ga2+",0.1907171324],["Ga2+","Pd2+",0.1868663634],["Pd2+","Ga2+",0.1868663634],["Ga2+","Pd4+",0.2920950423],["Pd4+","Ga2+",0.2920950423],["Ga2+","Pd3+",0.0549325133],["Pd3+","Ga2+",0.0549325133],["Ga2+","Ag3+",-0.1378107274],["Ag3+","Ga2+",-0.1378107274],["Ga2+","Ag2+",0.0289131888],["Ag2+","Ga2+",0.0289131888],["Ga2+","Cd2+",0.4455937781],["Cd2+","Ga2+",0.4455937781],["Ga2+","In3+",0.4397335588],["In3+","Ga2+",0.4397335588],["Ga2+","In2+",0.5183320247],["In2+","Ga2+",0.5183320247],["Ga2+","Sn4+",0.2627607298],["Sn4+","Ga2+",0.2627607298],["Ga2+","Sn3+",0.1158928223],["Sn3+","Ga2+",0.1158928223],["Ga2+","Sn2+",0.30299931],["Sn2+","Ga2+",0.30299931],["Ga2+","Sb5+",0.0264200161],["Sb5+","Ga2+",0.0264200161],["Ga2+","Sb2-",-0.1149410608],["Sb2-","Ga2+",-0.1149410608],["Ga2+","Sb3-",0.1244191926],["Sb3-","Ga2+",0.1244191926],["Ga2+","Sb3+",0.2881688264],["Sb3+","Ga2+",0.2881688264],["Ga2+","Sb4+",-0.0061707443],["Sb4+","Ga2+",-0.0061707443],["Ga2+","Te2-",0.2603335126],["Te2-","Ga2+",0.2603335126],["Ga2+","Te4+",0.2177751076],["Te4+","Ga2+",0.2177751076],["Ga2+","Te6+",-0.1026855668],["Te6+","Ga2+",-0.1026855668],["Ga2+","Te2+",0.1724736912],["Te2+","Ga2+",0.1724736912],["Ga2+","Te5+",0.2268784545],["Te5+","Ga2+",0.2268784545],["Ga2+","I3+",0.045709518],["I3+","Ga2+",0.045709518],["Ga2+","I7+",-0.1416076513],["I7+","Ga2+",-0.1416076513],["Ga2+","I5+",-0.0189400276],["I5+","Ga2+",-0.0189400276],["Ga2+","I2+",-0.0288889177],["I2+","Ga2+",-0.0288889177],["Ga2+","Ba2+",0.2839547906],["Ba2+","Ga2+",0.2839547906],["Ga2+","La3+",0.3392334638],["La3+","Ga2+",0.3392334638],["Ga2+","La2+",0.3494979741],["La2+","Ga2+",0.3494979741],["Ga2+","Ce3+",0.364960024],["Ce3+","Ga2+",0.364960024],["Ga2+","Ce2+",0.4083368628],["Ce2+","Ga2+",0.4083368628],["Ga2+","Ce4+",0.0842832214],["Ce4+","Ga2+",0.0842832214],["Ga2+","Pr3+",0.2495386163],["Pr3+","Ga2+",0.2495386163],["Ga2+","Pr4+",0.0519654005],["Pr4+","Ga2+",0.0519654005],["Ga2+","Pr2+",0.2933014188],["Pr2+","Ga2+",0.2933014188],["Ga2+","Nd3+",0.197956809],["Nd3+","Ga2+",0.197956809],["Ga2+","Nd2+",0.3252745916],["Nd2+","Ga2+",0.3252745916],["Ga2+","Pm3+",0.4006792169],["Pm3+","Ga2+",0.4006792169],["Ga2+","Sm3+",0.27013071],["Sm3+","Ga2+",0.27013071],["Ga2+","Sm2+",0.4218399876],["Sm2+","Ga2+",0.4218399876],["Ga2+","Eu2+",0.3970188278],["Eu2+","Ga2+",0.3970188278],["Ga2+","Eu3+",0.2199145894],["Eu3+","Ga2+",0.2199145894],["Ga2+","Gd2+",0.1620987034],["Gd2+","Ga2+",0.1620987034],["Ga2+","Gd3+",0.2423089481],["Gd3+","Ga2+",0.2423089481],["Ga2+","Tb3+",0.2641509137],["Tb3+","Ga2+",0.2641509137],["Ga2+","Tb2+",0.3211035727],["Tb2+","Ga2+",0.3211035727],["Ga2+","Tb4+",-0.0452818958],["Tb4+","Ga2+",-0.0452818958],["Ga2+","Dy3+",0.2297966058],["Dy3+","Ga2+",0.2297966058],["Ga2+","Dy2+",0.339444878],["Dy2+","Ga2+",0.339444878],["Ga2+","Ho3+",0.2506202871],["Ho3+","Ga2+",0.2506202871],["Ga2+","Ho2+",0.3058184989],["Ho2+","Ga2+",0.3058184989],["Ga2+","Er3+",0.1654853775],["Er3+","Ga2+",0.1654853775],["Ga2+","Tm3+",0.2175753782],["Tm3+","Ga2+",0.2175753782],["Ga2+","Tm2+",0.3967585787],["Tm2+","Ga2+",0.3967585787],["Ga2+","Yb3+",0.1598643299],["Yb3+","Ga2+",0.1598643299],["Ga2+","Yb2+",0.3738990931],["Yb2+","Ga2+",0.3738990931],["Ga2+","Lu3+",0.0829574499],["Lu3+","Ga2+",0.0829574499],["Ga2+","Hf3+",0.3624338094],["Hf3+","Ga2+",0.3624338094],["Ga2+","Hf2+",0.082626429],["Hf2+","Ga2+",0.082626429],["Ga2+","Hf4+",0.0621375426],["Hf4+","Ga2+",0.0621375426],["Ga2+","Ta5+",0.1700834422],["Ta5+","Ga2+",0.1700834422],["Ga2+","Ta3+",0.232475269],["Ta3+","Ga2+",0.232475269],["Ga2+","Ta4+",0.385170806],["Ta4+","Ga2+",0.385170806],["Ga2+","Ta2+",0.3806224547],["Ta2+","Ga2+",0.3806224547],["Ga2+","W6+",0.0635682785],["W6+","Ga2+",0.0635682785],["Ga2+","W4+",0.2970775981],["W4+","Ga2+",0.2970775981],["Ga2+","W2+",0.5001559048],["W2+","Ga2+",0.5001559048],["Ga2+","W3+",0.3433224552],["W3+","Ga2+",0.3433224552],["Ga2+","W5+",0.153199921],["W5+","Ga2+",0.153199921],["Ga2+","Re5+",0.4094608611],["Re5+","Ga2+",0.4094608611],["Ga2+","Re3+",0.443357762],["Re3+","Ga2+",0.443357762],["Ga2+","Re6+",-0.0307251133],["Re6+","Ga2+",-0.0307251133],["Ga2+","Re2+",0.1607340191],["Re2+","Ga2+",0.1607340191],["Ga2+","Re4+",0.41488017],["Re4+","Ga2+",0.41488017],["Ga2+","Re7+",0.1202358907],["Re7+","Ga2+",0.1202358907],["Ga2+","Os7+",-0.1220560613],["Os7+","Ga2+",-0.1220560613],["Ga2+","Os6+",-0.0863253292],["Os6+","Ga2+",-0.0863253292],["Ga2+","Os5+",0.1947683058],["Os5+","Ga2+",0.1947683058],["Ga2+","Os2-",0.1131051623],["Os2-","Ga2+",0.1131051623],["Ga2+","Os3+",0.2036393442],["Os3+","Ga2+",0.2036393442],["Ga2+","Os4+",0.3378119958],["Os4+","Ga2+",0.3378119958],["Ga2+","Os8+",0.0923431806],["Os8+","Ga2+",0.0923431806],["Ga2+","Os2+",0.2041161455],["Os2+","Ga2+",0.2041161455],["Ga2+","Ir3+",0.185649447],["Ir3+","Ga2+",0.185649447],["Ga2+","Ir4+",0.2900303776],["Ir4+","Ga2+",0.2900303776],["Ga2+","Ir5+",0.3110305358],["Ir5+","Ga2+",0.3110305358],["Ga2+","Ir6+",0.0399367016],["Ir6+","Ga2+",0.0399367016],["Ga2+","Pt2+",0.3546233506],["Pt2+","Ga2+",0.3546233506],["Ga2+","Pt2-",0.2549086205],["Pt2-","Ga2+",0.2549086205],["Ga2+","Pt4+",0.1946237895],["Pt4+","Ga2+",0.1946237895],["Ga2+","Pt3+",0.1727335258],["Pt3+","Ga2+",0.1727335258],["Ga2+","Pt5+",0.2961163863],["Pt5+","Ga2+",0.2961163863],["Ga2+","Pt6+",0.0358519294],["Pt6+","Ga2+",0.0358519294],["Ga2+","Au2+",0.1981651026],["Au2+","Ga2+",0.1981651026],["Ga2+","Au3+",0.1323269507],["Au3+","Ga2+",0.1323269507],["Ga2+","Au5+",0.0708989889],["Au5+","Ga2+",0.0708989889],["Ga2+","Au4+",0.0209442103],["Au4+","Ga2+",0.0209442103],["Ga2+","Hg2+",0.3562491203],["Hg2+","Ga2+",0.3562491203],["Ga2+","Tl3+",0.0798526399],["Tl3+","Ga2+",0.0798526399],["Ga2+","Tl2+",0.1034635247],["Tl2+","Ga2+",0.1034635247],["Ga2+","Pb2+",0.3306475547],["Pb2+","Ga2+",0.3306475547],["Ga2+","Pb3+",0.1896211692],["Pb3+","Ga2+",0.1896211692],["Ga2+","Pb4+",0.0790501893],["Pb4+","Ga2+",0.0790501893],["Ga2+","Bi3+",0.3518873332],["Bi3+","Ga2+",0.3518873332],["Ga2+","Bi5+",0.0378116653],["Bi5+","Ga2+",0.0378116653],["Ga2+","Bi2+",0.4378571801],["Bi2+","Ga2+",0.4378571801],["Ga2+","Bi3-",0.0959641227],["Bi3-","Ga2+",0.0959641227],["Ga2+","Bi4+",-0.115812578],["Bi4+","Ga2+",-0.115812578],["Ga2+","Ac3+",0.349682632],["Ac3+","Ga2+",0.349682632],["Ga2+","Th4+",-0.0572453654],["Th4+","Ga2+",-0.0572453654],["Ga2+","Th3+",0.2058150455],["Th3+","Ga2+",0.2058150455],["Ga2+","Pa4+",0.358969567],["Pa4+","Ga2+",0.358969567],["Ga2+","Pa5+",0.0301245415],["Pa5+","Ga2+",0.0301245415],["Ga2+","Pa3+",0.3396007003],["Pa3+","Ga2+",0.3396007003],["Ga2+","U6+",0.0974311944],["U6+","Ga2+",0.0974311944],["Ga2+","U4+",0.1382567016],["U4+","Ga2+",0.1382567016],["Ga2+","U3+",0.2526358016],["U3+","Ga2+",0.2526358016],["Ga2+","U2+",0.4857002579],["U2+","Ga2+",0.4857002579],["Ga2+","U5+",0.0028824382],["U5+","Ga2+",0.0028824382],["Ga2+","Np6+",0.1633517223],["Np6+","Ga2+",0.1633517223],["Ga2+","Np4+",0.0683562629],["Np4+","Ga2+",0.0683562629],["Ga2+","Np3+",0.4357665938],["Np3+","Ga2+",0.4357665938],["Ga2+","Np7+",0.2586874864],["Np7+","Ga2+",0.2586874864],["Ga2+","Np5+",0.3484767672],["Np5+","Ga2+",0.3484767672],["Ga2+","Pu7+",0.0374447267],["Pu7+","Ga2+",0.0374447267],["Ga2+","Pu6+",0.3055048007],["Pu6+","Ga2+",0.3055048007],["Ga2+","Pu3+",0.2020411239],["Pu3+","Ga2+",0.2020411239],["Ga2+","Pu4+",0.0460393242],["Pu4+","Ga2+",0.0460393242],["Ga2+","Pu5+",0.3179151771],["Pu5+","Ga2+",0.3179151771],["Ga2+","H1+",-0.2341216511],["H1+","Ga2+",-0.2341216511],["Ga2+","H1-",0.0102380006],["H1-","Ga2+",0.0102380006],["Ga2+","Li1+",0.0409776233],["Li1+","Ga2+",0.0409776233],["Ga2+","B1+",0.2170186224],["B1+","Ga2+",0.2170186224],["Ga2+","B1-",-0.0511564076],["B1-","Ga2+",-0.0511564076],["Ga2+","C1-",0.0664200156],["C1-","Ga2+",0.0664200156],["Ga2+","C1+",0.08253618],["C1+","Ga2+",0.08253618],["Ga2+","N1-",0.0165523606],["N1-","Ga2+",0.0165523606],["Ga2+","N1+",0.2257199425],["N1+","Ga2+",0.2257199425],["Ga2+","O1-",0.0518785798],["O1-","Ga2+",0.0518785798],["Ga2+","F1-",0.0237346219],["F1-","Ga2+",0.0237346219],["Ga2+","Na1+",0.2305869167],["Na1+","Ga2+",0.2305869167],["Ga2+","Si1-",0.0287576195],["Si1-","Ga2+",0.0287576195],["Ga2+","P1+",0.2282672844],["P1+","Ga2+",0.2282672844],["Ga2+","P1-",0.0087982513],["P1-","Ga2+",0.0087982513],["Ga2+","S1-",0.0428495063],["S1-","Ga2+",0.0428495063],["Ga2+","S1+",0.2066272895],["S1+","Ga2+",0.2066272895],["Ga2+","Cl1-",0.1742625374],["Cl1-","Ga2+",0.1742625374],["Ga2+","K1+",0.2234434876],["K1+","Ga2+",0.2234434876],["Ga2+","Sc1+",0.4002408797],["Sc1+","Ga2+",0.4002408797],["Ga2+","Mn1+",0.088297323],["Mn1+","Ga2+",0.088297323],["Ga2+","Fe1+",0.295482097],["Fe1+","Ga2+",0.295482097],["Ga2+","Co1+",0.2116095276],["Co1+","Ga2+",0.2116095276],["Ga2+","Ni1+",0.3632290873],["Ni1+","Ga2+",0.3632290873],["Ga2+","Cu1+",0.4425279872],["Cu1+","Ga2+",0.4425279872],["Ga2+","Ga1+",0.2263388383],["Ga1+","Ga2+",0.2263388383],["Ga2+","As1-",0.1051157599],["As1-","Ga2+",0.1051157599],["Ga2+","As1+",0.3787871174],["As1+","Ga2+",0.3787871174],["Ga2+","Se1-",0.0394228372],["Se1-","Ga2+",0.0394228372],["Ga2+","Se1+",0.2783170191],["Se1+","Ga2+",0.2783170191],["Ga2+","Br1-",0.14276557],["Br1-","Ga2+",0.14276557],["Ga2+","Br1+",-0.0455264178],["Br1+","Ga2+",-0.0455264178],["Ga2+","Rb1+",0.2881273799],["Rb1+","Ga2+",0.2881273799],["Ga2+","Y1+",-0.0437282483],["Y1+","Ga2+",-0.0437282483],["Ga2+","Zr1+",0.2485391602],["Zr1+","Ga2+",0.2485391602],["Ga2+","Nb1+",0.3204301105],["Nb1+","Ga2+",0.3204301105],["Ga2+","Tc1-",0.1705823669],["Tc1-","Ga2+",0.1705823669],["Ga2+","Tc1+",0.3825023022],["Tc1+","Ga2+",0.3825023022],["Ga2+","Rh1+",0.2991224291],["Rh1+","Ga2+",0.2991224291],["Ga2+","Ag1+",0.4045555628],["Ag1+","Ga2+",0.4045555628],["Ga2+","In1+",0.3665396964],["In1+","Ga2+",0.3665396964],["Ga2+","Sb1-",0.1966395917],["Sb1-","Ga2+",0.1966395917],["Ga2+","Sb1+",0.0972542562],["Sb1+","Ga2+",0.0972542562],["Ga2+","Te1-",0.0924286746],["Te1-","Ga2+",0.0924286746],["Ga2+","Te1+",0.2842993569],["Te1+","Ga2+",0.2842993569],["Ga2+","I1-",0.1466471713],["I1-","Ga2+",0.1466471713],["Ga2+","I1+",-0.0118333343],["I1+","Ga2+",-0.0118333343],["Ga2+","Cs1+",0.3607582797],["Cs1+","Ga2+",0.3607582797],["Ga2+","La1+",0.2587311],["La1+","Ga2+",0.2587311],["Ga2+","Tb1+",0.240410045],["Tb1+","Ga2+",0.240410045],["Ga2+","Ta1+",0.3331385338],["Ta1+","Ga2+",0.3331385338],["Ga2+","Os1-",0.1823147051],["Os1-","Ga2+",0.1823147051],["Ga2+","Os1+",0.1661232257],["Os1+","Ga2+",0.1661232257],["Ga2+","Pt1-",0.1904925994],["Pt1-","Ga2+",0.1904925994],["Ga2+","Pt1+",0.2384814469],["Pt1+","Ga2+",0.2384814469],["Ga2+","Au1-",-0.0747609612],["Au1-","Ga2+",-0.0747609612],["Ga2+","Au1+",0.2726423738],["Au1+","Ga2+",0.2726423738],["Ga2+","Hg1+",0.2062541002],["Hg1+","Ga2+",0.2062541002],["Ga2+","Tl1+",0.3309985324],["Tl1+","Ga2+",0.3309985324],["Ga2+","Bi1+",0.4730137237],["Bi1+","Ga2+",0.4730137237],["Ge4-","Ge4-",1.0],["Ge4-","Ge4+",0.0078033647],["Ge4+","Ge4-",0.0078033647],["Ge4-","Ge2-",0.7390539394],["Ge2-","Ge4-",0.7390539394],["Ge4-","Ge2+",0.1120518517],["Ge2+","Ge4-",0.1120518517],["Ge4-","Ge3+",-0.0101778848],["Ge3+","Ge4-",-0.0101778848],["Ge4-","As2-",0.1933526206],["As2-","Ge4-",0.1933526206],["Ge4-","As3+",-0.1210024595],["As3+","Ge4-",-0.1210024595],["Ge4-","As5+",-0.2130533134],["As5+","Ge4-",-0.2130533134],["Ge4-","As3-",0.3155663672],["As3-","Ge4-",0.3155663672],["Ge4-","As2+",-0.06500339],["As2+","Ge4-",-0.06500339],["Ge4-","As4+",-0.0564046522],["As4+","Ge4-",-0.0564046522],["Ge4-","Se2-",0.3903987853],["Se2-","Ge4-",0.3903987853],["Ge4-","Se4+",-0.1537662932],["Se4+","Ge4-",-0.1537662932],["Ge4-","Se6+",-0.1159885969],["Se6+","Ge4-",-0.1159885969],["Ge4-","Se5+",0.0328622964],["Se5+","Ge4-",0.0328622964],["Ge4-","Se2+",-0.0799432757],["Se2+","Ge4-",-0.0799432757],["Ge4-","Se3+",-0.0378549082],["Se3+","Ge4-",-0.0378549082],["Ge4-","Br2+",0.072007662],["Br2+","Ge4-",0.072007662],["Ge4-","Br5+",-0.0426953998],["Br5+","Ge4-",-0.0426953998],["Ge4-","Br3+",-0.008312793],["Br3+","Ge4-",-0.008312793],["Ge4-","Sr2+",0.0429958028],["Sr2+","Ge4-",0.0429958028],["Ge4-","Y3+",0.0855714196],["Y3+","Ge4-",0.0855714196],["Ge4-","Y2+",0.0170561803],["Y2+","Ge4-",0.0170561803],["Ge4-","Zr2+",0.0393925743],["Zr2+","Ge4-",0.0393925743],["Ge4-","Zr4+",-0.0997459187],["Zr4+","Ge4-",-0.0997459187],["Ge4-","Zr3+",0.0844211651],["Zr3+","Ge4-",0.0844211651],["Ge4-","Nb5+",-0.0272870879],["Nb5+","Ge4-",-0.0272870879],["Ge4-","Nb3+",0.2378103066],["Nb3+","Ge4-",0.2378103066],["Ge4-","Nb4+",-0.066421144],["Nb4+","Ge4-",-0.066421144],["Ge4-","Nb2+",0.2780801516],["Nb2+","Ge4-",0.2780801516],["Ge4-","Nb7+",0.0008385386],["Nb7+","Ge4-",0.0008385386],["Ge4-","Mo3+",0.1364947711],["Mo3+","Ge4-",0.1364947711],["Ge4-","Mo4+",0.20134097],["Mo4+","Ge4-",0.20134097],["Ge4-","Mo6+",-0.0958487677],["Mo6+","Ge4-",-0.0958487677],["Ge4-","Mo5+",-0.2701142275],["Mo5+","Ge4-",-0.2701142275],["Ge4-","Mo2+",0.044336038],["Mo2+","Ge4-",0.044336038],["Ge4-","Tc4+",-0.111911934],["Tc4+","Ge4-",-0.111911934],["Ge4-","Tc3-",0.1054418922],["Tc3-","Ge4-",0.1054418922],["Ge4-","Tc3+",-0.0232079701],["Tc3+","Ge4-",-0.0232079701],["Ge4-","Tc7+",0.0822619649],["Tc7+","Ge4-",0.0822619649],["Ge4-","Tc5+",-0.0404017857],["Tc5+","Ge4-",-0.0404017857],["Ge4-","Tc6+",-0.16054163],["Tc6+","Ge4-",-0.16054163],["Ge4-","Tc2-",0.2407898021],["Tc2-","Ge4-",0.2407898021],["Ge4-","Tc2+",0.0548203194],["Tc2+","Ge4-",0.0548203194],["Ge4-","Ru2+",0.2261426019],["Ru2+","Ge4-",0.2261426019],["Ge4-","Ru6+",0.0057334732],["R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Sb5+",0.3620336205],["Sb5+","Br1-",0.1563276748],["Br1-","Sb5+",0.1563276748],["Sb5+","Br1+",0.4373531826],["Br1+","Sb5+",0.4373531826],["Sb5+","Rb1+",0.5485282086],["Rb1+","Sb5+",0.5485282086],["Sb5+","Y1+",0.0688492077],["Y1+","Sb5+",0.0688492077],["Sb5+","Zr1+",-0.1430199138],["Zr1+","Sb5+",-0.1430199138],["Sb5+","Nb1+",0.0449450815],["Nb1+","Sb5+",0.0449450815],["Sb5+","Tc1-",-0.0170520364],["Tc1-","Sb5+",-0.0170520364],["Sb5+","Tc1+",0.1528045116],["Tc1+","Sb5+",0.1528045116],["Sb5+","Rh1+",-0.1217505548],["Rh1+","Sb5+",-0.1217505548],["Sb5+","Ag1+",0.2330924782],["Ag1+","Sb5+",0.2330924782],["Sb5+","In1+",0.1516421484],["In1+","Sb5+",0.1516421484],["Sb5+","Sb1-",-0.0486897169],["Sb1-","Sb5+",-0.0486897169],["Sb5+","Sb1+",0.271337684],["Sb1+","Sb5+",0.271337684],["Sb5+","Te1-",0.2458043457],["Te1-","Sb5+",0.2458043457],["Sb5+","Te1+",0.282894161],["Te1+","Sb5+",0.282894161],["Sb5+","I1-",0.0097107595],["I1-","Sb5+",0.0097107595],["Sb5+","I1+",0.5337314637],["I1+","Sb5+",0.5337314637],["Sb5+","Cs1+",0.5318982328],["Cs1+","Sb5+",0.5318982328],["Sb5+","La1+",-0.0551625735],["La1+","Sb5+",-0.0551625735],["Sb5+","Tb1+",-0.0720871056],["Tb1+","Sb5+",-0.0720871056],["Sb5+","Ta1+",-0.1472450137],["Ta1+","Sb5+",-0.1472450137],["Sb5+","Os1-",-0.0862791454],["Os1-","Sb5+",-0.0862791454],["Sb5+","Os1+",0.3486880725],["Os1+","Sb5+",0.3486880725],["Sb5+","Pt1-",-0.3230610137],["Pt1-","Sb5+",-0.3230610137],["Sb5+","Pt1+",0.1913220904],["Pt1+","Sb5+",0.1913220904],["Sb5+","Au1-",-0.0073754144],["Au1-","Sb5+",-0.0073754144],["Sb5+","Au1+",0.2365428988],["Au1+","Sb5+",0.2365428988],["Sb5+","Hg1+",0.4656508939],["Hg1+","Sb5+",0.4656508939],["Sb5+","Tl1+",0.504835697],["Tl1+","Sb5+",0.504835697],["Sb5+","Bi1+",0.0584458809],["Bi1+","Sb5+",0.0584458809],["Sb2-","Sb2-",1.0],["Sb2-","Sb3-",0.6744482021],["Sb3-","Sb2-",0.6744482021],["Sb2-","Sb3+",-0.2529392009],["Sb3+","Sb2-",-0.2529392009],["Sb2-","Sb4+",0.0398435355],["Sb4+","Sb2-",0.0398435355],["Sb2-","Te2-",0.2017688931],["Te2-","Sb2-",0.2017688931],["Sb2-","Te4+",-0.0900596872],["Te4+","Sb2-",-0.0900596872],["Sb2-","Te6+",0.0457529549],["Te6+","Sb2-",0.0457529549],["Sb2-","Te2+",-0.0532800698],["Te2+","Sb2-",-0.0532800698],["Sb2-","Te5+",0.0106240892],["Te5+","Sb2-",0.0106240892],["Sb2-","I3+",-0.0594923968],["I3+","Sb2-",-0.0594923968],["Sb2-","I7+",0.1542976612],["I7+","Sb2-",0.1542976612],["Sb2-","I5+",0.0048361548],["I5+","Sb2-",0.0048361548],["Sb2-","I2+",0.1481976803],["I2+","Sb2-",0.1481976803],["Sb2-","Ba2+",0.0092231497],["Ba2+","Sb2-",0.0092231497],["Sb2-","La3+",-0.0280730048],["La3+","Sb2-",-0.0280730048],["Sb2-","La2+",-0.0189355664],["La2+","Sb2-",-0.0189355664],["Sb2-","Ce3+",0.0231564952],["Ce3+","Sb2-",0.0231564952],["Sb2-","Ce2+",-0.0231043716],["Ce2+","Sb2-",-0.0231043716],["Sb2-","Ce4+",0.1047651039],["Ce4+","Sb2-",0.1047651039],["Sb2-","Pr3+",-0.028194773],["Pr3+","Sb2-",-0.028194773],["Sb2-","Pr4+",-0.1948423358],["Pr4+","Sb2-",-0.1948423358],["Sb2-","Pr2+",-0.1584732101],["Pr2+","Sb2-",-0.1584732101],["Sb2-","Nd3+",-0.0343990352],["Nd3+","Sb2-",-0.0343990352],["Sb2-","Nd2+",-0.0720753946],["Nd2+","Sb2-",-0.0720753946],["Sb2-","Pm3+",-0.0957105775],["Pm3+","Sb2-",-0.0957105775],["Sb2-","Sm3+",-0.0749460742],["Sm3+","Sb2-",-0.0749460742],["Sb2-","Sm2+",0.0259600293],["Sm2+","Sb2-",0.0259600293],["Sb2-","Eu2+",0.0230048927],["Eu2+","Sb2-",0.0230048927],["Sb2-","Eu3+",0.0541974069],["Eu3+","Sb2-",0.0541974069],["Sb2-","Gd2+",-0.1405540356],["Gd2+","Sb2-",-0.1405540356],["Sb2-","Gd3+",-0.2389453114],["Gd3+","Sb2-",-0.2389453114],["Sb2-","Tb3+",-0.1189406039],["Tb3+","Sb2-",-0.1189406039],["Sb2-","Tb2+",0.0091968899],["Tb2+","Sb2-",0.0091968899],["Sb2-","Tb4+",-0.1032303872],["Tb4+","Sb2-",-0.1032303872],["Sb2-","Dy3+",-0.1288053112],["Dy3+","Sb2-",-0.1288053112],["Sb2-","Dy2+",-0.1169123784],["Dy2+","Sb2-",-0.1169123784],["Sb2-","Ho3+",-0.2699690967],["Ho3+","Sb2-",-0.2699690967],["Sb2-","Ho2+",-0.1178797216],["Ho2+","Sb2-",-0.1178797216],["Sb2-","Er3+",-0.2471576724],["Er3+","Sb2-",-0.2471576724],["Sb2-","Tm3+",-0.127509218],["Tm3+","Sb2-",-0.127509218],["Sb2-","Tm2+",-0.1683602473],["Tm2+","Sb2-",-0.1683602473],["Sb2-","Yb3+",0.0303609522],["Yb3+","Sb2-",0.0303609522],["Sb2-","Yb2+",-0.070988579],["Yb2+","Sb2-",-0.070988579],["Sb2-","Lu3+",-0.2517011856],["Lu3+","Sb2-",-0.2517011856],["Sb2-","Hf3+",-0.0833147612],["Hf3+","Sb2-",-0.0833147612],["Sb2-","Hf2+",-0.0589466199],["Hf2+","Sb2-",-0.0589466199],["Sb2-","Hf4+",0.1199431605],["Hf4+","Sb2-",0.1199431605],["Sb2-","Ta5+",-0.1759711568],["Ta5+","Sb2-",-0.1759711568],["Sb2-","Ta3+",-0.1351417808],["Ta3+","Sb2-",-0.1351417808],["Sb2-","Ta4+",-0.1959987199],["Ta4+","Sb2-",-0.1959987199],["Sb2-","Ta2+",-0.3303656988],["Ta2+","Sb2-",-0.3303656988],["Sb2-","W6+",-0.061115135],["W6+","Sb2-",-0.061115135],["Sb2-","W4+",-0.2914599839],["W4+","Sb2-",-0.2914599839],["Sb2-","W2+",-0.3471172147],["W2+","Sb2-",-0.3471172147],["Sb2-","W3+",-0.3002930659],["W3+","Sb2-",-0.3002930659],["Sb2-","W5+",-0.1215272596],["W5+","Sb2-",-0.1215272596],["Sb2-","Re5+",-0.1991765856],["Re5+","Sb2-",-0.1991765856],["Sb2-","Re3+",-0.3517118624],["Re3+","Sb2-",-0.3517118624],["Sb2-","Re6+",-0.0332122936],["Re6+","Sb2-",-0.0332122936],["Sb2-","Re2+",-0.2057904994],["Re2+","Sb2-",-0.2057904994],["Sb2-","Re4+",-0.290163447],["Re4+","Sb2-",-0.290163447],["Sb2-","Re7+",-0.1755632497],["Re7+","Sb2-",-0.1755632497],["Sb2-","Os7+",0.0246625438],["Os7+","Sb2-",0.0246625438],["Sb2-","Os6+",0.0097060925],["Os6+","Sb2-",0.0097060925],["Sb2-","Os5+",-0.0666832403],["Os5+","Sb2-",-0.0666832403],["Sb2-","Os2-",-0.1617774237],["Os2-","Sb2-",-0.1617774237],["Sb2-","Os3+",-0.0941596053],["Os3+","Sb2-",-0.0941596053],["Sb2-","Os4+",-0.1986956391],["Os4+","Sb2-",-0.1986956391],["Sb2-","Os8+",0.0354491221],["Os8+","Sb2-",0.0354491221],["Sb2-","Os2+",-0.1889564882],["Os2+","Sb2-",-0.1889564882],["Sb2-","Ir3+",-0.1775136606],["Ir3+","Sb2-",-0.1775136606],["Sb2-","Ir4+",-0.0379483464],["Ir4+","Sb2-",-0.0379483464],["Sb2-","Ir5+",-0.0881379505],["Ir5+","Sb2-",-0.0881379505],["Sb2-","Ir6+",0.0133104557],["Ir6+","Sb2-",0.0133104557],["Sb2-","Pt2+",-0.0634303605],["Pt2+","Sb2-",-0.0634303605],["Sb2-","Pt2-",0.0137393619],["Pt2-","Sb2-",0.0137393619],["Sb2-","Pt4+",-0.1301202418],["Pt4+","Sb2-",-0.1301202418],["Sb2-","Pt3+",-0.0777109644],["Pt3+","Sb2-",-0.0777109644],["Sb2-","Pt5+",0.0543695535],["Pt5+","Sb2-",0.0543695535],["Sb2-","Pt6+",0.0298864238],["Pt6+","Sb2-",0.0298864238],["Sb2-","Au2+",0.0848687123],["Au2+","Sb2-",0.0848687123],["Sb2-","Au3+",-0.1380560343],["Au3+","Sb2-",-0.1380560343],["Sb2-","Au5+",-0.2582231432],["Au5+","Sb2-",-0.2582231432],["Sb2-","Au4+",0.0174734956],["Au4+","Sb2-",0.0174734956],["Sb2-","Hg2+",0.0363652717],["Hg2+","Sb2-",0.0363652717],["Sb2-","Tl3+",0.0152973561],["Tl3+","Sb2-",0.0152973561],["Sb2-","Tl2+",-0.1008703756],["Tl2+","Sb2-",-0.1008703756],["Sb2-","Pb2+",-0.0115631516],["Pb2+","Sb2-",-0.0115631516],["Sb2-","Pb3+",0.057950362],["Pb3+","Sb2-",0.057950362],["Sb2-","Pb4+",-0.0528687687],["Pb4+","Sb2-",-0.0528687687],["Sb2-","Bi3+",-0.1219880766],["Bi3+","Sb2-",-0.1219880766],["Sb2-","Bi5+",-0.0485591578],["Bi5+","Sb2-",-0.0485591578],["Sb2-","Bi2+",-0.0252849572],["Bi2+","Sb2-",-0.0252849572],["Sb2-","Bi3-",0.433024096],["Bi3-","Sb2-",0.433024096],["Sb2-","Bi4+",0.0706145858],["Bi4+","Sb2-",0.0706145858],["Sb2-","Ac3+",-0.0603053969],["Ac3+","Sb2-",-0.0603053969],["Sb2-","Th4+",0.057398224],["Th4+","Sb2-",0.057398224],["Sb2-","Th3+",-0.0273519449],["Th3+","Sb2-",-0.0273519449],["Sb2-","Pa4+",-0.0487547611],["Pa4+","Sb2-",-0.0487547611],["Sb2-","Pa5+",-0.0155245779],["Pa5+","Sb2-",-0.0155245779],["Sb2-","Pa3+",-0.2105375265],["Pa3+","Sb2-",-0.2105375265],["Sb2-","U6+",0.0210414331],["U6+","Sb2-",0.0210414331],["Sb2-","U4+",-0.1026610101],["U4+","Sb2-",-0.1026610101],["Sb2-","U3+",-0.1433347984],["U3+","Sb2-",-0.1433347984],["Sb2-","U2+",-0.03849118],["U2+","Sb2-",-0.03849118],["Sb2-","U5+",-0.0412335265],["U5+","Sb2-",-0.0412335265],["Sb2-","Np6+",0.0514830476],["Np6+","Sb2-",0.0514830476],["Sb2-","Np4+",-0.0387762446],["Np4+","Sb2-",-0.0387762446],["Sb2-","Np3+",-0.1713720808],["Np3+","Sb2-",-0.1713720808],["Sb2-","Np7+",0.0129560726],["Np7+","Sb2-",0.0129560726],["Sb2-","Np5+",-0.1161086792],["Np5+","Sb2-",-0.1161086792],["Sb2-","Pu7+",0.0810556828],["Pu7+","Sb2-",0.0810556828],["Sb2-","Pu6+",-0.0801294549],["Pu6+","Sb2-",-0.0801294549],["Sb2-","Pu3+",-0.273967294],["Pu3+","Sb2-",-0.273967294],["Sb2-","Pu4+",-0.041583305],["Pu4+","Sb2-",-0.041583305],["Sb2-","Pu5+",-0.1014542875],["Pu5+","Sb2-",-0.1014542875],["Sb2-","H1+",-0.0563190129],["H1+","Sb2-",-0.0563190129],["Sb2-","H1-",-0.045559703],["H1-","Sb2-",-0.045559703],["Sb2-","Li1+",0.1074651951],["Li1+","Sb2-",0.1074651951],["Sb2-","B1+",-0.2778086446],["B1+","Sb2-",-0.2778086446],["Sb2-","B1-",0.0691928668],["B1-","Sb2-",0.0691928668],["Sb2-","C1-",-0.0960432894],["C1-","Sb2-",-0.0960432894],["Sb2-","C1+",-0.10243766],["C1+","Sb2-",-0.10243766],["Sb2-","N1-",0.0668479186],["N1-","Sb2-",0.0668479186],["Sb2-","N1+",-0.0215987035],["N1+","Sb2-",-0.0215987035],["Sb2-","O1-",0.1898800101],["O1-","Sb2-",0.1898800101],["Sb2-","F1-",0.2134606088],["F1-","Sb2-",0.2134606088],["Sb2-","Na1+",0.0683648044],["Na1+","Sb2-",0.0683648044],["Sb2-","Si1-",0.104785591],["Si1-","Sb2-",0.104785591],["Sb2-","P1+",-0.0981772523],["P1+","Sb2-",-0.0981772523],["Sb2-","P1-",0.2447258772],["P1-","Sb2-",0.2447258772],["Sb2-","S1-",0.1227532839],["S1-","Sb2-",0.1227532839],["Sb2-","S1+",-0.0041768515],["S1+","Sb2-",-0.0041768515],["Sb2-","Cl1-",0.1268579432],["Cl1-","Sb2-",0.1268579432],["Sb2-","K1+",0.0397855781],["K1+","Sb2-",0.0397855781],["Sb2-","Sc1+",0.0041425578],["Sc1+","Sb2-",0.0041425578],["Sb2-","Mn1+",0.1061664791],["Mn1+","Sb2-",0.1061664791],["Sb2-","Fe1+",-0.3725651233],["Fe1+","Sb2-",-0.3725651233],["Sb2-","Co1+",-0.2882089045],["Co1+","Sb2-",-0.2882089045],["Sb2-","Ni1+",-0.3073116647],["Ni1+","Sb2-",-0.3073116647],["Sb2-","Cu1+",-0.0784829137],["Cu1+","Sb2-",-0.0784829137],["Sb2-","Ga1+",-0.1245271308],["Ga1+","Sb2-",-0.1245271308],["Sb2-","As1-",0.2095554558],["As1-","Sb2-",0.2095554558],["Sb2-","As1+",-0.0474343057],["As1+","Sb2-",-0.0474343057],["Sb2-","Se1-",0.1474341779],["Se1-","Sb2-",0.1474341779],["Sb2-","Se1+",0.0538950652],["Se1+","Sb2-",0.0538950652],["Sb2-","Br1-",0.2826272989],["Br1-","Sb2-",0.2826272989],["Sb2-","Br1+",-0.0885489412],["Br1+","Sb2-",-0.0885489412],["Sb2-","Rb1+",-0.0017784383],["Rb1+","Sb2-",-0.0017784383],["Sb2-","Y1+",0.084207918],["Y1+","Sb2-",0.084207918],["Sb2-","Zr1+",-0.1257862304],["Zr1+","Sb2-",-0.1257862304],["Sb2-","Nb1+",-0.2356989768],["Nb1+","Sb2-",-0.2356989768],["Sb2-","Tc1-",0.1652456377],["Tc1-","Sb2-",0.1652456377],["Sb2-","Tc1+",-0.067152408],["Tc1+","Sb2-",-0.067152408],["Sb2-","Rh1+",-0.0821595029],["Rh1+","Sb2-",-0.0821595029],["Sb2-","Ag1+",-0.0019261105],["Ag1+","Sb2-",-0.0019261105],["Sb2-","In1+",0.0553954132],["In1+","Sb2-",0.0553954132],["Sb2-","Sb1-",0.498948285],["Sb1-","Sb2-",0.498948285],["Sb2-","Sb1+",0.0230543329],["Sb1+","Sb2-",0.0230543329],["Sb2-","Te1-",0.1993182004],["Te1-","Sb2-",0.1993182004],["Sb2-","Te1+",-0.0186769576],["Te1+","Sb2-",-0.0186769576],["Sb2-","I1-",0.2110739587],["I1-","Sb2-",0.2110739587],["Sb2-","I1+",0.0274846489],["I1+","Sb2-",0.0274846489],["Sb2-","Cs1+",-0.103684067],["Cs1+","Sb2-",-0.103684067],["Sb2-","La1+",-0.0375884165],["La1+","Sb2-",-0.0375884165],["Sb2-","Tb1+",0.0168718095],["Tb1+","Sb2-",0.0168718095],["Sb2-","Ta1+",-0.2308655436],["Ta1+","Sb2-",-0.2308655436],["Sb2-","Os1-",-0.2451506514],["Os1-","Sb2-",-0.2451506514],["Sb2-","Os1+",-0.0196765906],["Os1+","Sb2-",-0.0196765906],["Sb2-","Pt1-",0.1906218008],["Pt1-","Sb2-",0.1906218008],["Sb2-","Pt1+",-0.2256212094],["Pt1+","Sb2-",-0.2256212094],["Sb2-","Au1-",0.1578064734],["Au1-","Sb2-",0.1578064734],["Sb2-","Au1+",-0.0528281186],["Au1+","Sb2-",-0.0528281186],["Sb2-","Hg1+",0.1251374218],["Hg1+","Sb2-",0.1251374218],["Sb2-","Tl1+",-0.001216182],["Tl1+","Sb2-",-0.001216182],["Sb2-","Bi1+",-0.1330661555],["Bi1+","Sb2-",-0.1330661555],["Sb3-","Sb3-",1.0],["Sb3-","Sb3+",-0.247116496],["Sb3+","Sb3-",-0.247116496],["Sb3-","Sb4+",-0.1352717742],["Sb4+","Sb3-",-0.1352717742],["Sb3-","Te2-",0.3592360359],["Te2-","Sb3-",0.3592360359],["Sb3-","Te4+",-0.1943762467],["Te4+","Sb3-",-0.1943762467],["Sb3-","Te6+",-0.190863754],["Te6+","Sb3-",-0.190863754],["Sb3-","Te2+",-0.0090327973],["Te2+","Sb3-",-0.0090327973],["Sb3-","Te5+",-0.1061432234],["Te5+","Sb3-",-0.1061432234],["Sb3-","I3+",-0.0724403341],["I3+","Sb3-",-0.0724403341],["Sb3-","I7+",-0.0188648531],["I7+","Sb3-",-0.0188648531],["Sb3-","I5+",-0.0535612167],["I5+","Sb3-",-0.0535612167],["Sb3-","I2+",0.1052198542],["I2+","Sb3-",0.1052198542],["Sb3-","Ba2+",-0.0204033776],["Ba2+","Sb3-",-0.0204033776],["Sb3-","La3+",-0.0687775361],["La3+","Sb3-",-0.0687775361],["Sb3-","La2+",0.0656856941],["La2+","Sb3-",0.0656856941],["Sb3-","Ce3+",0.0469207975],["Ce3+","Sb3-",0.0469207975],["Sb3-","Ce2+",0.1290689217],["Ce2+","Sb3-",0.1290689217],["Sb3-","Ce4+",-0.016483901],["Ce4+","Sb3-",-0.016483901],["Sb3-","Pr3+",-0.081451795],["Pr3+","Sb3-",-0.081451795],["Sb3-","Pr4+",-0.221206469],["Pr4+","Sb3-",-0.221206469],["Sb3-","Pr2+",-0.2078660244],["Pr2+","Sb3-",-0.2078660244],["Sb3-","Nd3+",-0.0955790988],["Nd3+","Sb3-",-0.0955790988],["Sb3-","Nd2+",0.0058890215],["Nd2+","Sb3-",0.0058890215],["Sb3-","Pm3+",-0.0436791558],["Pm3+","Sb3-",-0.0436791558],["Sb3-","Sm3+",-0.0632420554],["Sm3+","Sb3-",-0.0632420554],["Sb3-","Sm2+",0.1557467602],["Sm2+","Sb3-",0.1557467602],["Sb3-","Eu2+",0.1240143581],["Eu2+","Sb3-",0.1240143581],["Sb3-","Eu3+",-0.0086576112],["Eu3+","Sb3-",-0.0086576112],["Sb3-","Gd2+",-0.1085506164],["Gd2+","Sb3-",-0.1085506164],["Sb3-","Gd3+",-0.2082533953],["Gd3+","Sb3-",-0.2082533953],["Sb3-","Tb3+",-0.1814722864],["Tb3+","Sb3-",-0.1814722864],["Sb3-","Tb2+",0.0112027035],["Tb2+","Sb3-",0.0112027035],["Sb3-","Tb4+",-0.1381902692],["Tb4+","Sb3-",-0.1381902692],["Sb3-","Dy3+",-0.1263891348],["Dy3+","Sb3-",-0.1263891348],["Sb3-","Dy2+",-0.0006328578],["Dy2+","Sb3-",-0.0006328578],["Sb3-","Ho3+",-0.1757064973],["Ho3+","Sb3-",-0.1757064973],["Sb3-","Ho2+",0.0453882576],["Ho2+","Sb3-",0.0453882576],["Sb3-","Er3+",-0.1827551091],["Er3+","Sb3-",-0.1827551091],["Sb3-","Tm3+",-0.1188604769],["Tm3+","Sb3-",-0.1188604769],["Sb3-","Tm2+",0.0077516508],["Tm2+","Sb3-",0.0077516508],["Sb3-","Yb3+",0.0742721223],["Yb3+","Sb3-",0.0742721223],["Sb3-","Yb2+",0.1294135706],["Yb2+","Sb3-",0.1294135706],["Sb3-","Lu3+",-0.2220048015],["Lu3+","Sb3-",-0.2220048015],["Sb3-","Hf3+",0.0304830953],["Hf3+","Sb3-",0.0304830953],["Sb3-","Hf2+",0.1309245484],["Hf2+","Sb3-",0.1309245484],["Sb3-","Hf4+",-0.0081549056],["Hf4+","Sb3-",-0.0081549056],["Sb3-","Ta5+",-0.2252036365],["Ta5+","Sb3-",-0.2252036365],["Sb3-","Ta3+",-0.1483745239],["Ta3+","Sb3-",-0.1483745239],["Sb3-","Ta4+",-0.086210136],["Ta4+","Sb3-",-0.086210136],["Sb3-","Ta2+",-0.1466039018],["Ta2+","Sb3-",-0.1466039018],["Sb3-","W6+",-0.1353195002],["W6+","S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\ No newline at end of file +[ + ["Be2+", "Be2+", 1.0], + ["Be2+", "B2+", 0.5736733956], + ["B2+", "Be2+", 0.5736733956], + ["Be2+", "B2-", -0.1044816857], + ["B2-", "Be2+", -0.1044816857], + ["Be2+", "B3-", -0.0768666941], + ["B3-", "Be2+", -0.0768666941], + ["Be2+", "B3+", 0.3390007514], + ["B3+", "Be2+", 0.3390007514], + ["Be2+", "C4-", -0.1928578205], + ["C4-", "Be2+", -0.1928578205], + ["Be2+", "C4+", 0.2750951748], + ["C4+", "Be2+", 0.2750951748], + ["Be2+", "C2+", 0.2334535461], + ["C2+", "Be2+", 0.2334535461], + ["Be2+", "C3+", 0.2728127991], + ["C3+", "Be2+", 0.2728127991], + ["Be2+", "C2-", -0.1061521707], + ["C2-", "Be2+", -0.1061521707], + ["Be2+", "C3-", -0.0804958569], + ["C3-", "Be2+", -0.0804958569], + ["Be2+", "N3-", -0.131817328], + ["N3-", "Be2+", -0.131817328], + ["Be2+", "N2+", 0.3609650386], + ["N2+", "Be2+", 0.3609650386], + ["Be2+", "N3+", 0.2937903841], + ["N3+", "Be2+", 0.2937903841], + ["Be2+", "N2-", -0.0380638763], + ["N2-", "Be2+", -0.0380638763], + ["Be2+", "N5+", 0.3134871283], + ["N5+", "Be2+", 0.3134871283], + ["Be2+", "N4+", 0.1812099283], + ["N4+", "Be2+", 0.1812099283], + ["Be2+", "O2-", -0.0554318527], + ["O2-", "Be2+", -0.0554318527], + ["Be2+", "Mg2+", 0.1802066799], + ["Mg2+", "Be2+", 0.1802066799], + ["Be2+", "Al3+", 0.2510494163], + ["Al3+", "Be2+", 0.2510494163], + ["Be2+", "Al2+", -0.0854492723], + ["Al2+", "Be2+", -0.0854492723], + ["Be2+", "Si2+", 0.1229856808], + ["Si2+", "Be2+", 0.1229856808], + ["Be2+", "Si4+", 0.1960656696], + ["Si4+", "Be2+", 0.1960656696], + ["Be2+", "Si2-", -0.1402170935], + ["Si2-", "Be2+", -0.1402170935], + ["Be2+", "Si4-", -0.1548043342], + ["Si4-", "Be2+", -0.1548043342], + ["Be2+", "Si3+", 0.0935122048], + ["Si3+", "Be2+", 0.0935122048], + ["Be2+", "Si3-", -0.189887482], + ["Si3-", "Be2+", -0.189887482], + ["Be2+", "P5+", 0.2453263207], + ["P5+", "Be2+", 0.2453263207], + ["Be2+", "P2-", -0.0744265281], + ["P2-", "Be2+", -0.0744265281], + ["Be2+", "P3-", 0.0947581705], + ["P3-", "Be2+", 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0.0767990963], + ["Zr2+", "Be2+", 0.0767990963], + ["Be2+", "Zr4+", -0.0000478682], + ["Zr4+", "Be2+", -0.0000478682], + ["Be2+", "Zr3+", 0.0785057836], + ["Zr3+", "Be2+", 0.0785057836], + ["Be2+", "Nb5+", 0.0449837581], + ["Nb5+", "Be2+", 0.0449837581], + ["Be2+", "Nb3+", 0.1564487049], + ["Nb3+", "Be2+", 0.1564487049], + ["Be2+", "Nb4+", -0.0406711937], + ["Nb4+", "Be2+", -0.0406711937], + ["Be2+", "Nb2+", 0.1040527882], + ["Nb2+", "Be2+", 0.1040527882], + ["Be2+", "Nb7+", 0.109334042], + ["Nb7+", "Be2+", 0.109334042], + ["Be2+", "Mo3+", 0.1087877356], + ["Mo3+", "Be2+", 0.1087877356], + ["Be2+", "Mo4+", -0.0734603957], + ["Mo4+", "Be2+", -0.0734603957], + ["Be2+", "Mo6+", 0.1357279161], + ["Mo6+", "Be2+", 0.1357279161], + ["Be2+", "Mo5+", 0.3952792153], + ["Mo5+", "Be2+", 0.3952792153], + ["Be2+", "Mo2+", 0.05800674], + ["Mo2+", "Be2+", 0.05800674], + ["Be2+", "Tc4+", 0.2033985694], + ["Tc4+", "Be2+", 0.2033985694], + ["Be2+", "Tc3-", -0.1627350838], + ["Tc3-", "Be2+", 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0.0503567276], + ["Pd4+", "Be2+", 0.0503567276], + ["Be2+", "Pd3+", 0.0453494748], + ["Pd3+", "Be2+", 0.0453494748], + ["Be2+", "Ag3+", 0.2065059666], + ["Ag3+", "Be2+", 0.2065059666], + ["Be2+", "Ag2+", 0.3137447673], + ["Ag2+", "Be2+", 0.3137447673], + ["Be2+", "Cd2+", 0.1617366583], + ["Cd2+", "Be2+", 0.1617366583], + ["Be2+", "In3+", 0.0517089007], + ["In3+", "Be2+", 0.0517089007], + ["Be2+", "In2+", -0.1707432158], + ["In2+", "Be2+", -0.1707432158], + ["Be2+", "Sn4+", 0.0608136386], + ["Sn4+", "Be2+", 0.0608136386], + ["Be2+", "Sn3+", 0.1901649316], + ["Sn3+", "Be2+", 0.1901649316], + ["Be2+", "Sn2+", 0.1342596064], + ["Sn2+", "Be2+", 0.1342596064], + ["Be2+", "Sb5+", 0.5500126679], + ["Sb5+", "Be2+", 0.5500126679], + ["Be2+", "Sb2-", -0.23144765], + ["Sb2-", "Be2+", -0.23144765], + ["Be2+", "Sb3-", -0.1712273087], + ["Sb3-", "Be2+", -0.1712273087], + ["Be2+", "Sb3+", 0.185728877], + ["Sb3+", "Be2+", 0.185728877], + ["Be2+", "Sb4+", 0.1282159392], + ["Sb4+", "Be2+", 0.1282159392], 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+ ["Zr1+", "B2+", 0.3372243232], + ["B2+", "Nb1+", 0.139272089], + ["Nb1+", "B2+", 0.139272089], + ["B2+", "Tc1-", 0.0080965725], + ["Tc1-", "B2+", 0.0080965725], + ["B2+", "Tc1+", 0.1083308924], + ["Tc1+", "B2+", 0.1083308924], + ["B2+", "Rh1+", 0.1342061174], + ["Rh1+", "B2+", 0.1342061174], + ["B2+", "Ag1+", 0.0361402274], + ["Ag1+", "B2+", 0.0361402274], + ["B2+", "In1+", -0.0388699762], + ["In1+", "B2+", -0.0388699762], + ["B2+", "Sb1-", -0.1811887995], + ["Sb1-", "B2+", -0.1811887995], + ["B2+", "Sb1+", -0.043446582], + ["Sb1+", "B2+", -0.043446582], + ["B2+", "Te1-", -0.0429352736], + ["Te1-", "B2+", -0.0429352736], + ["B2+", "Te1+", 0.0291408962], + ["Te1+", "B2+", 0.0291408962], + ["B2+", "I1-", 0.0459783903], + ["I1-", "B2+", 0.0459783903], + ["B2+", "I1+", 0.1572967191], + ["I1+", "B2+", 0.1572967191], + ["B2+", "Cs1+", 0.2946587282], + ["Cs1+", "B2+", 0.2946587282], + ["B2+", "La1+", 0.4575333803], + ["La1+", "B2+", 0.4575333803], + ["B2+", "Tb1+", 0.2267841674], + ["Tb1+", "B2+", 0.2267841674], + ["B2+", "Ta1+", -0.0673446515], + ["Ta1+", "B2+", -0.0673446515], + ["B2+", "Os1-", -0.1751162428], + ["Os1-", "B2+", -0.1751162428], + ["B2+", "Os1+", 0.0633052175], + ["Os1+", "B2+", 0.0633052175], + ["B2+", "Pt1-", -0.3969698446], + ["Pt1-", "B2+", -0.3969698446], + ["B2+", "Pt1+", 0.2178033235], + ["Pt1+", "B2+", 0.2178033235], + ["B2+", "Au1-", -0.0837270674], + ["Au1-", "B2+", -0.0837270674], + ["B2+", "Au1+", 0.142127208], + ["Au1+", "B2+", 0.142127208], + ["B2+", "Hg1+", 0.2717837464], + ["Hg1+", "B2+", 0.2717837464], + ["B2+", "Tl1+", 0.0682743647], + ["Tl1+", "B2+", 0.0682743647], + ["B2+", "Bi1+", 0.1983122825], + ["Bi1+", "B2+", 0.1983122825], + ["B2-", "B2-", 1.0], + ["B2-", "B3-", 0.6481715048], + ["B3-", "B2-", 0.6481715048], + ["B2-", "B3+", -0.2608657534], + ["B3+", "B2-", -0.2608657534], + ["B2-", "C4-", 0.2654261751], + ["C4-", "B2-", 0.2654261751], + ["B2-", "C4+", -0.2417603041], + ["C4+", "B2-", -0.2417603041], + ["B2-", "C2+", -0.0541031856], + ["C2+", "B2-", -0.0541031856], + ["B2-", "C3+", -0.2002964137], + ["C3+", "B2-", -0.2002964137], + ["B2-", "C2-", 0.2965416515], + ["C2-", "B2-", 0.2965416515], + ["B2-", "C3-", 0.3647159382], + ["C3-", "B2-", 0.3647159382], + ["B2-", "N3-", 0.1301799049], + ["N3-", "B2-", 0.1301799049], + ["B2-", "N2+", -0.0376383447], + ["N2+", "B2-", -0.0376383447], + ["B2-", "N3+", 0.006825475], + ["N3+", "B2-", 0.006825475], + ["B2-", "N2-", -0.0457783798], + ["N2-", "B2-", -0.0457783798], + ["B2-", "N5+", -0.0771412298], + ["N5+", "B2-", -0.0771412298], + ["B2-", "N4+", -0.0377490555], + ["N4+", "B2-", -0.0377490555], + ["B2-", "O2-", 0.2298745082], + ["O2-", "B2-", 0.2298745082], + ["B2-", "Mg2+", -0.2257726892], + ["Mg2+", "B2-", -0.2257726892], + ["B2-", "Al3+", -0.0121772102], + ["Al3+", "B2-", -0.0121772102], + ["B2-", "Al2+", -0.0553110636], + ["Al2+", "B2-", -0.0553110636], + ["B2-", "Si2+", -0.1849840736], + ["Si2+", "B2-", -0.1849840736], + ["B2-", "Si4+", -0.1753717304], + ["Si4+", "B2-", -0.1753717304], + ["B2-", "Si2-", 0.115607154], + ["Si2-", "B2-", 0.115607154], + ["B2-", "Si4-", 0.3760972085], + ["Si4-", "B2-", 0.3760972085], + ["B2-", "Si3+", -0.0216738697], + ["Si3+", "B2-", -0.0216738697], + ["B2-", "Si3-", 0.1462163362], + ["Si3-", "B2-", 0.1462163362], + ["B2-", "P5+", -0.1122423324], + ["P5+", "B2-", -0.1122423324], + ["B2-", "P2-", 0.1182174684], + ["P2-", "B2-", 0.1182174684], + ["B2-", "P3-", 0.1265169802], + ["P3-", "B2-", 0.1265169802], + ["B2-", "P4+", -0.0347882384], + ["P4+", "B2-", -0.0347882384], + ["B2-", "P3+", -0.1592626558], + ["P3+", "B2-", -0.1592626558], + ["B2-", "P2+", -0.1097654093], + ["P2+", "B2-", -0.1097654093], + ["B2-", "S2-", 0.2322725422], + ["S2-", "B2-", 0.2322725422], + ["B2-", "S6+", -0.1101518462], + ["S6+", "B2-", -0.1101518462], + ["B2-", "S2+", 0.0570970989], + ["S2+", "B2-", 0.0570970989], + ["B2-", "S3+", -0.048310966], + ["S3+", "B2-", -0.048310966], + ["B2-", "S4+", -0.026027734], + ["S4+", "B2-", -0.026027734], + ["B2-", "S5+", 0.0039970087], + ["S5+", "B2-", 0.0039970087], + ["B2-", "Cl7+", 0.0000069653], + ["Cl7+", "B2-", 0.0000069653], + ["B2-", "Cl5+", -0.0157586332], + ["Cl5+", "B2-", -0.0157586332], + ["B2-", "Cl3+", -0.0623165806], + ["Cl3+", "B2-", -0.0623165806], + ["B2-", "Ca2+", -0.3277554797], + ["Ca2+", "B2-", -0.3277554797], + ["B2-", "Sc3+", 0.1002007507], + ["Sc3+", "B2-", 0.1002007507], + ["B2-", "Sc2+", 0.0142347674], + ["Sc2+", "B2-", 0.0142347674], + ["B2-", "Ti3+", -0.0734414067], + ["Ti3+", "B2-", -0.0734414067], + ["B2-", "Ti4+", 0.1327177623], + ["Ti4+", "B2-", 0.1327177623], + ["B2-", "Ti2+", -0.1900168799], + ["Ti2+", "B2-", -0.1900168799], + ["B2-", "V4+", 0.0458461043], + ["V4+", "B2-", 0.0458461043], + ["B2-", "V3+", -0.0457581159], + ["V3+", "B2-", -0.0457581159], + ["B2-", "V2+", -0.146299989], + ["V2+", "B2-", -0.146299989], + ["B2-", "V5+", -0.0923847183], + ["V5+", "B2-", -0.0923847183], + ["B2-", "Cr3+", 0.0135140492], + ["Cr3+", "B2-", 0.0135140492], + ["B2-", "Cr2+", -0.0654464126], + ["Cr2+", "B2-", -0.0654464126], + ["B2-", "Cr6+", 0.095782382], + ["Cr6+", "B2-", 0.095782382], + ["B2-", "Cr4+", -0.0040848205], + ["Cr4+", "B2-", -0.0040848205], + ["B2-", "Cr5+", 0.2186446919], + ["Cr5+", "B2-", 0.2186446919], + ["B2-", "Mn2+", -0.1096993474], + ["Mn2+", "B2-", -0.1096993474], + ["B2-", "Mn3+", -0.0256015327], + ["Mn3+", "B2-", -0.0256015327], + ["B2-", "Mn4+", 0.0341575151], + ["Mn4+", "B2-", 0.0341575151], + ["B2-", "Mn7+", 0.1887231636], + ["Mn7+", "B2-", 0.1887231636], + ["B2-", "Mn6+", 0.1512102202], + ["Mn6+", "B2-", 0.1512102202], + ["B2-", "Mn5+", -0.1082400301], + ["Mn5+", "B2-", -0.1082400301], + ["B2-", "Fe2+", -0.0638341162], + ["Fe2+", "B2-", -0.0638341162], + ["B2-", "Fe3+", 0.0029083747], + ["Fe3+", "B2-", 0.0029083747], + ["B2-", "Fe4+", 0.1555196708], + ["Fe4+", "B2-", 0.1555196708], + ["B2-", "Fe6+", 0.3298774972], + ["Fe6+", "B2-", 0.3298774972], + ["B2-", "Fe5+", 0.2371385732], + ["Fe5+", "B2-", 0.2371385732], + ["B2-", "Co2+", 0.0592311082], + ["Co2+", "B2-", 0.0592311082], + ["B2-", "Co4+", 0.119915199], + ["Co4+", "B2-", 0.119915199], + ["B2-", "Co3+", -0.0215874645], + ["Co3+", "B2-", -0.0215874645], + ["B2-", "Ni2+", 0.2051029371], + ["Ni2+", "B2-", 0.2051029371], + ["B2-", "Ni4+", 0.0991111997], + ["Ni4+", "B2-", 0.0991111997], + ["B2-", "Ni3+", 0.0916096197], + ["Ni3+", "B2-", 0.0916096197], + ["B2-", "Cu2+", -0.0049643972], + ["Cu2+", "B2-", -0.0049643972], + ["B2-", "Cu3+", -0.0753860581], + ["Cu3+", "B2-", -0.0753860581], + ["B2-", "Zn2+", -0.3490059253], + ["Zn2+", "B2-", -0.3490059253], + ["B2-", "Ga3+", -0.3129040658], + ["Ga3+", "B2-", -0.3129040658], + ["B2-", "Ga4+", 0.0672368431], + ["Ga4+", "B2-", 0.0672368431], + ["B2-", "Ga2+", -0.1914887242], + ["Ga2+", "B2-", -0.1914887242], + ["B2-", "Ge4-", 0.2522071367], + ["Ge4-", "B2-", 0.2522071367], + ["B2-", "Ge4+", -0.2765905101], + ["Ge4+", "B2-", -0.2765905101], + ["B2-", "Ge2-", 0.2039334904], + ["Ge2-", "B2-", 0.2039334904], + ["B2-", "Ge2+", -0.0826806055], + ["Ge2+", "B2-", -0.0826806055], + ["B2-", "Ge3+", -0.0386174624], + ["Ge3+", "B2-", -0.0386174624], + ["B2-", "As2-", 0.0165816997], + ["As2-", "B2-", 0.0165816997], + ["B2-", "As3+", -0.154319097], + ["As3+", "B2-", -0.154319097], + ["B2-", "As5+", -0.0666213316], + ["As5+", "B2-", -0.0666213316], + ["B2-", "As3-", 0.0206783521], + ["As3-", "B2-", 0.0206783521], + ["B2-", "As2+", 0.0043659333], + ["As2+", "B2-", 0.0043659333], + ["B2-", "As4+", 0.0007992732], + ["As4+", "B2-", 0.0007992732], + ["B2-", "Se2-", 0.1827851639], + ["Se2-", "B2-", 0.1827851639], + ["B2-", "Se4+", -0.1407247763], + ["Se4+", "B2-", -0.1407247763], + ["B2-", "Se6+", -0.0234829607], + ["Se6+", "B2-", -0.0234829607], + ["B2-", "Se5+", -0.004432332], + ["Se5+", "B2-", -0.004432332], + ["B2-", "Se2+", -0.0993147712], + ["Se2+", "B2-", -0.0993147712], + ["B2-", "Se3+", -0.0332293293], + ["Se3+", "B2-", -0.0332293293], + ["B2-", "Br2+", -0.122135753], + ["Br2+", "B2-", -0.122135753], + ["B2-", "Br5+", -0.0321247348], + ["Br5+", "B2-", -0.0321247348], + ["B2-", "Br3+", 0.0192447974], + ["Br3+", "B2-", 0.0192447974], + ["B2-", "Sr2+", -0.4015416677], + ["Sr2+", "B2-", -0.4015416677], + ["B2-", "Y3+", 0.1122686423], + ["Y3+", "B2-", 0.1122686423], + ["B2-", "Y2+", -0.0087315456], + ["Y2+", "B2-", -0.0087315456], + ["B2-", "Zr2+", 0.0390987849], + ["Zr2+", "B2-", 0.0390987849], + ["B2-", "Zr4+", 0.1071169644], + ["Zr4+", "B2-", 0.1071169644], + ["B2-", "Zr3+", 0.0480425794], + ["Zr3+", "B2-", 0.0480425794], + ["B2-", "Nb5+", 0.138468242], + ["Nb5+", "B2-", 0.138468242], + ["B2-", "Nb3+", -0.0348995527], + ["Nb3+", "B2-", -0.0348995527], + ["B2-", "Nb4+", -0.0331203346], + ["Nb4+", "B2-", -0.0331203346], + ["B2-", "Nb2+", -0.0661151789], + ["Nb2+", "B2-", -0.0661151789], + ["B2-", "Nb7+", 0.0130506827], + ["Nb7+", "B2-", 0.0130506827], + ["B2-", "Mo3+", -0.160288578], + ["Mo3+", "B2-", -0.160288578], + ["B2-", "Mo4+", 0.1154933293], + ["Mo4+", "B2-", 0.1154933293], + ["B2-", "Mo6+", -0.0171732308], + ["Mo6+", "B2-", -0.0171732308], + ["B2-", "Mo5+", -0.0917155597], + ["Mo5+", "B2-", -0.0917155597], + ["B2-", "Mo2+", -0.0013409183], + ["Mo2+", "B2-", -0.0013409183], + ["B2-", "Tc4+", -0.0980636946], + ["Tc4+", "B2-", -0.0980636946], + ["B2-", "Tc3-", 0.1031179303], + ["Tc3-", "B2-", 0.1031179303], + ["B2-", "Tc3+", -0.2996203438], + ["Tc3+", "B2-", -0.2996203438], + ["B2-", "Tc7+", -0.1085188716], + ["Tc7+", "B2-", -0.1085188716], + ["B2-", "Tc5+", 0.0274376504], + ["Tc5+", "B2-", 0.0274376504], + ["B2-", "Tc6+", 0.0138553454], + ["Tc6+", "B2-", 0.0138553454], + ["B2-", "Tc2-", 0.4095215203], + ["Tc2-", "B2-", 0.4095215203], + ["B2-", "Tc2+", -0.0286447478], + ["Tc2+", "B2-", -0.0286447478], + ["B2-", "Ru2+", 0.1857308234], + ["Ru2+", "B2-", 0.1857308234], + ["B2-", "Ru6+", 0.0380745874], + ["Ru6+", "B2-", 0.0380745874], + ["B2-", "Ru4+", -0.2175987803], + ["Ru4+", "B2-", -0.2175987803], + ["B2-", 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["B2-", "Sb5+", -0.0640474518], + ["Sb5+", "B2-", -0.0640474518], + ["B2-", "Sb2-", 0.0181226826], + ["Sb2-", "B2-", 0.0181226826], + ["B2-", "Sb3-", 0.1224386556], + ["Sb3-", "B2-", 0.1224386556], + ["B2-", "Sb3+", -0.1166693747], + ["Sb3+", "B2-", -0.1166693747], + ["B2-", "Sb4+", -0.0595899579], + ["Sb4+", "B2-", -0.0595899579], + ["B2-", "Te2-", 0.3029560691], + ["Te2-", "B2-", 0.3029560691], + ["B2-", "Te4+", -0.2919542832], + ["Te4+", "B2-", -0.2919542832], + ["B2-", "Te6+", -0.2216520908], + ["Te6+", "B2-", -0.2216520908], + ["B2-", "Te2+", -0.2241131236], + ["Te2+", "B2-", -0.2241131236], + ["B2-", "Te5+", -0.0766856016], + ["Te5+", "B2-", -0.0766856016], + ["B2-", "I3+", -0.0183130955], + ["I3+", "B2-", -0.0183130955], + ["B2-", "I7+", -0.0881909846], + ["I7+", "B2-", -0.0881909846], + ["B2-", "I5+", -0.0501954223], + ["I5+", "B2-", -0.0501954223], + ["B2-", "I2+", 0.0900145801], + ["I2+", "B2-", 0.0900145801], + ["B2-", "Ba2+", -0.2029568796], + ["Ba2+", "B2-", 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0.2524752758], + ["C2-", "Mo4+", 0.0389976625], + ["Mo4+", "C2-", 0.0389976625], + ["C2-", "Mo6+", -0.0120315428], + ["Mo6+", "C2-", -0.0120315428], + ["C2-", "Mo5+", -0.0918665334], + ["Mo5+", "C2-", -0.0918665334], + ["C2-", "Mo2+", 0.1100355855], + ["Mo2+", "C2-", 0.1100355855], + ["C2-", "Tc4+", -0.0968292803], + ["Tc4+", "C2-", -0.0968292803], + ["C2-", "Tc3-", 0.1513895641], + ["Tc3-", "C2-", 0.1513895641], + ["C2-", "Tc3+", 0.2164482209], + ["Tc3+", "C2-", 0.2164482209], + ["C2-", "Tc7+", 0.1965509277], + ["Tc7+", "C2-", 0.1965509277], + ["C2-", "Tc5+", 0.005173338], + ["Tc5+", "C2-", 0.005173338], + ["C2-", "Tc6+", 0.1516057006], + ["Tc6+", "C2-", 0.1516057006], + ["C2-", "Tc2-", 0.1863304539], + ["Tc2-", "C2-", 0.1863304539], + ["C2-", "Tc2+", 0.1127494791], + ["Tc2+", "C2-", 0.1127494791], + ["C2-", "Ru2+", 0.1570946751], + ["Ru2+", "C2-", 0.1570946751], + ["C2-", "Ru6+", 0.0816624654], + ["Ru6+", "C2-", 0.0816624654], + ["C2-", "Ru4+", 0.0412418336], + ["Ru4+", "C2-", 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0.1298175076], + ["C2-", "Sb5+", 0.1631784231], + ["Sb5+", "C2-", 0.1631784231], + ["C2-", "Sb2-", 0.0561748513], + ["Sb2-", "C2-", 0.0561748513], + ["C2-", "Sb3-", 0.0978409282], + ["Sb3-", "C2-", 0.0978409282], + ["C2-", "Sb3+", 0.2570740685], + ["Sb3+", "C2-", 0.2570740685], + ["C2-", "Sb4+", -0.0542510781], + ["Sb4+", "C2-", -0.0542510781], + ["C2-", "Te2-", 0.2664342467], + ["Te2-", "C2-", 0.2664342467], + ["C2-", "Te4+", -0.0219026492], + ["Te4+", "C2-", -0.0219026492], + ["C2-", "Te6+", 0.0006127519], + ["Te6+", "C2-", 0.0006127519], + ["C2-", "Te2+", -0.2386367091], + ["Te2+", "C2-", -0.2386367091], + ["C2-", "Te5+", -0.018500116], + ["Te5+", "C2-", -0.018500116], + ["C2-", "I3+", 0.0412382351], + ["I3+", "C2-", 0.0412382351], + ["C2-", "I7+", -0.0686429572], + ["I7+", "C2-", -0.0686429572], + ["C2-", "I5+", -0.1471452826], + ["I5+", "C2-", -0.1471452826], + ["C2-", "I2+", 0.1239453195], + ["I2+", "C2-", 0.1239453195], + ["C2-", "Ba2+", 0.1612856281], + ["Ba2+", "C2-", 0.1612856281], + ["C2-", "La3+", 0.1230386669], + ["La3+", "C2-", 0.1230386669], + ["C2-", "La2+", 0.0050545014], + ["La2+", "C2-", 0.0050545014], + ["C2-", "Ce3+", 0.3241511516], + ["Ce3+", "C2-", 0.3241511516], + ["C2-", "Ce2+", -0.0044127867], + ["Ce2+", "C2-", -0.0044127867], + ["C2-", "Ce4+", 0.2378738103], + ["Ce4+", "C2-", 0.2378738103], + ["C2-", "Pr3+", 0.0900800266], + ["Pr3+", "C2-", 0.0900800266], + ["C2-", "Pr4+", 0.1080557152], + ["Pr4+", "C2-", 0.1080557152], + ["C2-", "Pr2+", -0.1410480282], + ["Pr2+", "C2-", -0.1410480282], + ["C2-", "Nd3+", 0.0707910952], + ["Nd3+", "C2-", 0.0707910952], + ["C2-", "Nd2+", -0.0879532095], + ["Nd2+", "C2-", -0.0879532095], + ["C2-", "Pm3+", 0.2866305692], + ["Pm3+", "C2-", 0.2866305692], + ["C2-", "Sm3+", 0.0655772206], + ["Sm3+", "C2-", 0.0655772206], + ["C2-", "Sm2+", -0.0770115363], + ["Sm2+", "C2-", -0.0770115363], + ["C2-", "Eu2+", 0.0273395006], + ["Eu2+", "C2-", 0.0273395006], + ["C2-", "Eu3+", 0.0554116507], + ["Eu3+", "C2-", 0.0554116507], + ["C2-", "Gd2+", -0.1044789416], + ["Gd2+", "C2-", -0.1044789416], + ["C2-", "Gd3+", 0.032587109], + ["Gd3+", "C2-", 0.032587109], + ["C2-", "Tb3+", -0.0014440059], + ["Tb3+", "C2-", -0.0014440059], + ["C2-", "Tb2+", -0.1268697089], + ["Tb2+", "C2-", -0.1268697089], + ["C2-", "Tb4+", -0.0413265765], + ["Tb4+", "C2-", -0.0413265765], + ["C2-", "Dy3+", -0.0234293464], + ["Dy3+", "C2-", -0.0234293464], + ["C2-", "Dy2+", -0.1011545785], + ["Dy2+", "C2-", -0.1011545785], + ["C2-", "Ho3+", 0.0473320625], + ["Ho3+", "C2-", 0.0473320625], + ["C2-", "Ho2+", -0.1366409348], + ["Ho2+", "C2-", -0.1366409348], + ["C2-", "Er3+", 0.115986776], + ["Er3+", "C2-", 0.115986776], + ["C2-", "Tm3+", 0.0434300901], + ["Tm3+", "C2-", 0.0434300901], + ["C2-", "Tm2+", -0.0571331619], + ["Tm2+", "C2-", -0.0571331619], + ["C2-", "Yb3+", 0.1914098061], + ["Yb3+", "C2-", 0.1914098061], + ["C2-", "Yb2+", 0.028187254], + ["Yb2+", "C2-", 0.028187254], + ["C2-", "Lu3+", 0.05594718], + ["Lu3+", "C2-", 0.05594718], + ["C2-", "Hf3+", 0.1456011013], + ["Hf3+", "C2-", 0.1456011013], + ["C2-", "Hf2+", -0.2102816432], + ["Hf2+", "C2-", -0.2102816432], + ["C2-", "Hf4+", 0.2507900322], + ["Hf4+", "C2-", 0.2507900322], + ["C2-", "Ta5+", 0.2222155087], + ["Ta5+", "C2-", 0.2222155087], + ["C2-", "Ta3+", 0.3336595672], + ["Ta3+", "C2-", 0.3336595672], + ["C2-", "Ta4+", 0.3143146125], + ["Ta4+", "C2-", 0.3143146125], + ["C2-", "Ta2+", 0.1020377795], + ["Ta2+", "C2-", 0.1020377795], + ["C2-", "W6+", 0.2024761006], + ["W6+", "C2-", 0.2024761006], + ["C2-", "W4+", 0.2225121757], + ["W4+", "C2-", 0.2225121757], + ["C2-", "W2+", 0.0299832273], + ["W2+", "C2-", 0.0299832273], + ["C2-", "W3+", 0.0486942819], + ["W3+", "C2-", 0.0486942819], + ["C2-", "W5+", 0.0100186704], + ["W5+", "C2-", 0.0100186704], + ["C2-", "Re5+", 0.3507403453], + ["Re5+", "C2-", 0.3507403453], + ["C2-", "Re3+", 0.302620311], + ["Re3+", "C2-", 0.302620311], + ["C2-", "Re6+", 0.2738860538], + ["Re6+", "C2-", 0.2738860538], + ["C2-", "Re2+", 0.0337624725], + ["Re2+", "C2-", 0.0337624725], + ["C2-", "Re4+", 0.3075886008], + ["Re4+", "C2-", 0.3075886008], + ["C2-", "Re7+", 0.0258750815], + ["Re7+", "C2-", 0.0258750815], + ["C2-", "Os7+", 0.1494655768], + ["Os7+", "C2-", 0.1494655768], + ["C2-", "Os6+", 0.4112518777], + ["Os6+", "C2-", 0.4112518777], + ["C2-", "Os5+", 0.1656515164], + ["Os5+", "C2-", 0.1656515164], + ["C2-", "Os2-", 0.1843165649], + ["Os2-", "C2-", 0.1843165649], + ["C2-", "Os3+", 0.3540111737], + ["Os3+", "C2-", 0.3540111737], + ["C2-", "Os4+", 0.2778370124], + ["Os4+", "C2-", 0.2778370124], + ["C2-", "Os8+", 0.2547676993], + ["Os8+", "C2-", 0.2547676993], + ["C2-", "Os2+", -0.1091861483], + ["Os2+", "C2-", -0.1091861483], + ["C2-", "Ir3+", 0.21027368], + ["Ir3+", "C2-", 0.21027368], + ["C2-", "Ir4+", 0.2399670376], + ["Ir4+", "C2-", 0.2399670376], + ["C2-", "Ir5+", 0.1766038057], + ["Ir5+", "C2-", 0.1766038057], + ["C2-", "Ir6+", 0.2468584089], + ["Ir6+", "C2-", 0.2468584089], + ["C2-", "Pt2+", 0.0364068361], + ["Pt2+", "C2-", 0.0364068361], + ["C2-", "Pt2-", 0.2176703628], + ["Pt2-", "C2-", 0.2176703628], + ["C2-", "Pt4+", 0.0255767701], + ["Pt4+", "C2-", 0.0255767701], + ["C2-", "Pt3+", -0.077060999], + ["Pt3+", "C2-", -0.077060999], + ["C2-", "Pt5+", 0.0905563322], + ["Pt5+", "C2-", 0.0905563322], + ["C2-", "Pt6+", 0.1698095697], + ["Pt6+", "C2-", 0.1698095697], + ["C2-", "Au2+", -0.169679441], + ["Au2+", "C2-", -0.169679441], + ["C2-", "Au3+", -0.1469410695], + ["Au3+", "C2-", -0.1469410695], + ["C2-", "Au5+", -0.098092385], + ["Au5+", "C2-", -0.098092385], + ["C2-", "Au4+", 0.0698532842], + ["Au4+", "C2-", 0.0698532842], + ["C2-", "Hg2+", -0.0629291409], + ["Hg2+", "C2-", -0.0629291409], + ["C2-", "Tl3+", -0.0712139842], + ["Tl3+", "C2-", -0.0712139842], + ["C2-", "Tl2+", -0.0362715468], + ["Tl2+", "C2-", -0.0362715468], + ["C2-", "Pb2+", 0.3187777739], + ["Pb2+", "C2-", 0.3187777739], + ["C2-", "Pb3+", 0.0203880919], + ["Pb3+", "C2-", 0.0203880919], + ["C2-", "Pb4+", 0.1076210646], + ["Pb4+", "C2-", 0.1076210646], + ["C2-", "Bi3+", 0.2388072197], + ["Bi3+", "C2-", 0.2388072197], + ["C2-", "Bi5+", -0.0336850602], + ["Bi5+", "C2-", -0.0336850602], + ["C2-", "Bi2+", 0.158204982], + ["Bi2+", "C2-", 0.158204982], + ["C2-", "Bi3-", 0.1553603191], + ["Bi3-", "C2-", 0.1553603191], + ["C2-", "Bi4+", 0.002626975], + ["Bi4+", "C2-", 0.002626975], + ["C2-", "Ac3+", 0.2466116175], + ["Ac3+", "C2-", 0.2466116175], + ["C2-", "Th4+", 0.0236940275], + ["Th4+", "C2-", 0.0236940275], + ["C2-", "Th3+", 0.117647362], + ["Th3+", "C2-", 0.117647362], + ["C2-", "Pa4+", -0.1591264841], + ["Pa4+", "C2-", -0.1591264841], + ["C2-", "Pa5+", -0.032179676], + ["Pa5+", "C2-", -0.032179676], + ["C2-", "Pa3+", 0.1054550666], + ["Pa3+", "C2-", 0.1054550666], + ["C2-", "U6+", 0.1212218476], + ["U6+", "C2-", 0.1212218476], + ["C2-", "U4+", 0.1771014574], + ["U4+", "C2-", 0.1771014574], + ["C2-", "U3+", 0.0431942414], + ["U3+", "C2-", 0.0431942414], + ["C2-", "U2+", 0.0555167946], + ["U2+", "C2-", 0.0555167946], + ["C2-", "U5+", 0.0413836867], + ["U5+", "C2-", 0.0413836867], + ["C2-", "Np6+", 0.1215299602], + ["Np6+", "C2-", 0.1215299602], + ["C2-", "Np4+", -0.2116899578], + ["Np4+", "C2-", -0.2116899578], + ["C2-", "Np3+", 0.1336701818], + ["Np3+", "C2-", 0.1336701818], + ["C2-", "Np7+", -0.0325400856], + ["Np7+", "C2-", -0.0325400856], + ["C2-", "Np5+", 0.1259507637], + ["Np5+", "C2-", 0.1259507637], + ["C2-", "Pu7+", 0.0253142436], + ["Pu7+", "C2-", 0.0253142436], + ["C2-", "Pu6+", 0.0660758046], + ["Pu6+", "C2-", 0.0660758046], + ["C2-", "Pu3+", 0.1238955811], + ["Pu3+", "C2-", 0.1238955811], + ["C2-", "Pu4+", -0.1000565376], + ["Pu4+", "C2-", -0.1000565376], + ["C2-", "Pu5+", -0.0467623592], + ["Pu5+", "C2-", -0.0467623592], + ["C2-", "H1+", 0.1527457495], + ["H1+", "C2-", 0.1527457495], + ["C2-", "H1-", 0.2357419178], + ["H1-", "C2-", 0.2357419178], + ["C2-", "Li1+", 0.0955802395], + ["Li1+", "C2-", 0.0955802395], + ["C2-", "B1+", 0.0038436778], + ["B1+", "C2-", 0.0038436778], + ["C2-", "B1-", 0.32625194], + ["B1-", "C2-", 0.32625194], + ["C2-", "C1-", 0.5647104642], + ["C1-", "C2-", 0.5647104642], + ["C2-", "C1+", 0.2080068818], + ["C1+", "C2-", 0.2080068818], + ["C2-", "N1-", 0.3130827912], + ["N1-", "C2-", 0.3130827912], + ["C2-", "N1+", 0.0611899357], + ["N1+", "C2-", 0.0611899357], + ["C2-", "O1-", 0.2202795059], + ["O1-", "C2-", 0.2202795059], + ["C2-", "F1-", 0.1549312107], + ["F1-", "C2-", 0.1549312107], + ["C2-", "Na1+", 0.0892000098], + ["Na1+", "C2-", 0.0892000098], + ["C2-", "Si1-", 0.1567640053], + ["Si1-", "C2-", 0.1567640053], + ["C2-", "P1+", 0.1920448106], + ["P1+", "C2-", 0.1920448106], + ["C2-", "P1-", 0.0395890335], + ["P1-", "C2-", 0.0395890335], + ["C2-", "S1-", 0.1454306162], + ["S1-", "C2-", 0.1454306162], + ["C2-", "S1+", 0.2143431935], + ["S1+", "C2-", 0.2143431935], + ["C2-", "Cl1-", 0.301824931], + ["Cl1-", "C2-", 0.301824931], + ["C2-", "K1+", 0.1624371008], + ["K1+", "C2-", 0.1624371008], + ["C2-", "Sc1+", -0.0790172666], + ["Sc1+", "C2-", -0.0790172666], + ["C2-", "Mn1+", -0.0916131576], + ["Mn1+", "C2-", -0.0916131576], + ["C2-", "Fe1+", 0.0052216054], + ["Fe1+", "C2-", 0.0052216054], + ["C2-", "Co1+", -0.0527812739], + ["Co1+", "C2-", -0.0527812739], + ["C2-", "Ni1+", -0.1242192397], + ["Ni1+", "C2-", -0.1242192397], + ["C2-", "Cu1+", 0.1655515647], + ["Cu1+", "C2-", 0.1655515647], + ["C2-", "Ga1+", 0.1970395875], + ["Ga1+", "C2-", 0.1970395875], + ["C2-", "As1-", 0.0403502789], + ["As1-", "C2-", 0.0403502789], + ["C2-", "As1+", 0.2419153762], + ["As1+", "C2-", 0.2419153762], + ["C2-", "Se1-", 0.1076176469], + ["Se1-", "C2-", 0.1076176469], + ["C2-", "Se1+", 0.1676404088], + ["Se1+", "C2-", 0.1676404088], + ["C2-", "Br1-", 0.2462971632], + ["Br1-", "C2-", 0.2462971632], + ["C2-", "Br1+", 0.2428334745], + ["Br1+", "C2-", 0.2428334745], + ["C2-", "Rb1+", 0.204513279], + ["Rb1+", "C2-", 0.204513279], + ["C2-", "Y1+", -0.2194693612], + ["Y1+", "C2-", 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0.0107572353], + ["N2-", "Mn3+", -0.258888756], + ["Mn3+", "N2-", -0.258888756], + ["N2-", "Mn4+", -0.1589561468], + ["Mn4+", "N2-", -0.1589561468], + ["N2-", "Mn7+", 0.1247402056], + ["Mn7+", "N2-", 0.1247402056], + ["N2-", "Mn6+", -0.0415489491], + ["Mn6+", "N2-", -0.0415489491], + ["N2-", "Mn5+", 0.0414604428], + ["Mn5+", "N2-", 0.0414604428], + ["N2-", "Fe2+", -0.1376404217], + ["Fe2+", "N2-", -0.1376404217], + ["N2-", "Fe3+", -0.1876890223], + ["Fe3+", "N2-", -0.1876890223], + ["N2-", "Fe4+", -0.2085948861], + ["Fe4+", "N2-", -0.2085948861], + ["N2-", "Fe6+", -0.0652028549], + ["Fe6+", "N2-", -0.0652028549], + ["N2-", "Fe5+", -0.1262249972], + ["Fe5+", "N2-", -0.1262249972], + ["N2-", "Co2+", -0.0634663345], + ["Co2+", "N2-", -0.0634663345], + ["N2-", "Co4+", -0.0076156479], + ["Co4+", "N2-", -0.0076156479], + ["N2-", "Co3+", -0.0707302716], + ["Co3+", "N2-", -0.0707302716], + ["N2-", "Ni2+", -0.1393391799], + ["Ni2+", "N2-", -0.1393391799], + ["N2-", "Ni4+", -0.1025847038], + ["Ni4+", "N2-", -0.1025847038], + ["N2-", "Ni3+", -0.1839434576], + ["Ni3+", "N2-", -0.1839434576], + ["N2-", "Cu2+", -0.1098644468], + ["Cu2+", "N2-", -0.1098644468], + ["N2-", "Cu3+", -0.0300334351], + ["Cu3+", "N2-", -0.0300334351], + ["N2-", "Zn2+", 0.0159061342], + ["Zn2+", "N2-", 0.0159061342], + ["N2-", "Ga3+", 0.0534212905], + ["Ga3+", "N2-", 0.0534212905], + ["N2-", "Ga4+", -0.0085350758], + ["Ga4+", "N2-", -0.0085350758], + ["N2-", "Ga2+", 0.1955692754], + ["Ga2+", "N2-", 0.1955692754], + ["N2-", "Ge4-", 0.0666734154], + ["Ge4-", "N2-", 0.0666734154], + ["N2-", "Ge4+", 0.1920726461], + ["Ge4+", "N2-", 0.1920726461], + ["N2-", "Ge2-", 0.0260073612], + ["Ge2-", "N2-", 0.0260073612], + ["N2-", "Ge2+", 0.1150805795], + ["Ge2+", "N2-", 0.1150805795], + ["N2-", "Ge3+", 0.0336365689], + ["Ge3+", "N2-", 0.0336365689], + ["N2-", "As2-", 0.0808043153], + ["As2-", "N2-", 0.0808043153], + ["N2-", "As3+", -0.0038122772], + ["As3+", "N2-", -0.0038122772], + ["N2-", "As5+", -0.2243791881], + ["As5+", "N2-", -0.2243791881], + ["N2-", "As3-", 0.0640441295], + ["As3-", "N2-", 0.0640441295], + ["N2-", "As2+", -0.0591065403], + ["As2+", "N2-", -0.0591065403], + ["N2-", "As4+", -0.0405935513], + ["As4+", "N2-", -0.0405935513], + ["N2-", "Se2-", 0.1484849659], + ["Se2-", "N2-", 0.1484849659], + ["N2-", "Se4+", -0.0382974521], + ["Se4+", "N2-", -0.0382974521], + ["N2-", "Se6+", 0.1142523195], + ["Se6+", "N2-", 0.1142523195], + ["N2-", "Se5+", 0.0050470033], + ["Se5+", "N2-", 0.0050470033], + ["N2-", "Se2+", 0.2662698301], + ["Se2+", "N2-", 0.2662698301], + ["N2-", "Se3+", 0.1478112848], + ["Se3+", "N2-", 0.1478112848], + ["N2-", "Br2+", 0.1858955561], + ["Br2+", "N2-", 0.1858955561], + ["N2-", "Br5+", -0.1056845855], + ["Br5+", "N2-", -0.1056845855], + ["N2-", "Br3+", -0.0193583417], + ["Br3+", "N2-", -0.0193583417], + ["N2-", "Sr2+", 0.0766674974], + ["Sr2+", "N2-", 0.0766674974], + ["N2-", "Y3+", -0.0197546452], + ["Y3+", "N2-", -0.0197546452], + ["N2-", "Y2+", 0.0185398687], + ["Y2+", "N2-", 0.0185398687], + ["N2-", "Zr2+", -0.0053624232], + ["Zr2+", "N2-", -0.0053624232], + ["N2-", "Zr4+", -0.0436203748], + ["Zr4+", "N2-", -0.0436203748], + ["N2-", "Zr3+", 0.1019268469], + ["Zr3+", "N2-", 0.1019268469], + ["N2-", "Nb5+", -0.0002875667], + ["Nb5+", "N2-", -0.0002875667], + ["N2-", "Nb3+", -0.0138464412], + ["Nb3+", "N2-", -0.0138464412], + ["N2-", "Nb4+", -0.0489621605], + ["Nb4+", "N2-", -0.0489621605], + ["N2-", "Nb2+", 0.1320871196], + ["Nb2+", "N2-", 0.1320871196], + ["N2-", "Nb7+", 0.0144280799], + ["Nb7+", "N2-", 0.0144280799], + ["N2-", "Mo3+", -0.0075820822], + ["Mo3+", "N2-", -0.0075820822], + ["N2-", "Mo4+", -0.1291684473], + ["Mo4+", "N2-", -0.1291684473], + ["N2-", "Mo6+", -0.1604555719], + ["Mo6+", "N2-", -0.1604555719], + ["N2-", "Mo5+", -0.1711364267], + ["Mo5+", "N2-", -0.1711364267], + ["N2-", "Mo2+", 0.0466335413], + ["Mo2+", "N2-", 0.0466335413], + ["N2-", "Tc4+", -0.1029667923], + ["Tc4+", "N2-", -0.1029667923], + ["N2-", "Tc3-", 0.0549292904], + ["Tc3-", "N2-", 0.0549292904], + ["N2-", "Tc3+", 0.1858928335], + ["Tc3+", "N2-", 0.1858928335], + ["N2-", "Tc7+", 0.0244083088], + ["Tc7+", "N2-", 0.0244083088], + ["N2-", "Tc5+", 0.0592032376], + ["Tc5+", "N2-", 0.0592032376], + ["N2-", "Tc6+", -0.0294435599], + ["Tc6+", "N2-", -0.0294435599], + ["N2-", "Tc2-", -0.2945059519], + ["Tc2-", "N2-", -0.2945059519], + ["N2-", "Tc2+", 0.020310267], + ["Tc2+", "N2-", 0.020310267], + ["N2-", "Ru2+", 0.0538518502], + ["Ru2+", "N2-", 0.0538518502], + ["N2-", "Ru6+", 0.0571670869], + ["Ru6+", "N2-", 0.0571670869], + ["N2-", "Ru4+", 0.0644514131], + ["Ru4+", "N2-", 0.0644514131], + ["N2-", "Ru5+", -0.0099609337], + ["Ru5+", "N2-", -0.0099609337], + ["N2-", "Ru3+", -0.1600364226], + ["Ru3+", "N2-", -0.1600364226], + ["N2-", "Rh4+", -0.0464439879], + ["Rh4+", "N2-", -0.0464439879], + ["N2-", "Rh3+", 0.0357413603], + ["Rh3+", "N2-", 0.0357413603], + ["N2-", "Pd2+", -0.0523808693], + ["Pd2+", "N2-", -0.0523808693], + ["N2-", "Pd4+", 0.0533786866], + ["Pd4+", "N2-", 0.0533786866], + ["N2-", "Pd3+", -0.1970171217], + ["Pd3+", "N2-", -0.1970171217], + ["N2-", "Ag3+", -0.0810266293], + ["Ag3+", "N2-", -0.0810266293], + ["N2-", "Ag2+", -0.1469955142], + ["Ag2+", "N2-", -0.1469955142], + ["N2-", "Cd2+", 0.0823409666], + ["Cd2+", "N2-", 0.0823409666], + ["N2-", "In3+", -0.0068787605], + ["In3+", "N2-", -0.0068787605], + ["N2-", "In2+", 0.2054375301], + ["In2+", "N2-", 0.2054375301], + ["N2-", "Sn4+", -0.0252840401], + ["Sn4+", "N2-", -0.0252840401], + ["N2-", "Sn3+", -0.0798376645], + ["Sn3+", "N2-", -0.0798376645], + ["N2-", "Sn2+", -0.0029592813], + ["Sn2+", "N2-", -0.0029592813], + ["N2-", "Sb5+", 0.0491674581], + ["Sb5+", "N2-", 0.0491674581], + ["N2-", "Sb2-", -0.0680438402], + ["Sb2-", "N2-", -0.0680438402], + ["N2-", "Sb3-", 0.030804672], + ["Sb3-", "N2-", 0.030804672], + ["N2-", "Sb3+", 0.1095728713], + ["Sb3+", "N2-", 0.1095728713], + ["N2-", "Sb4+", -0.0653860835], + ["Sb4+", "N2-", -0.0653860835], + ["N2-", "Te2-", 0.2261910837], + ["Te2-", "N2-", 0.2261910837], + ["N2-", "Te4+", 0.0226709293], + ["Te4+", "N2-", 0.0226709293], + ["N2-", "Te6+", -0.1440134775], + ["Te6+", "N2-", -0.1440134775], + ["N2-", "Te2+", -0.1068346033], + ["Te2+", "N2-", -0.1068346033], + ["N2-", "Te5+", -0.0290800192], + ["Te5+", "N2-", -0.0290800192], + ["N2-", "I3+", 0.0590597111], + ["I3+", "N2-", 0.0590597111], + ["N2-", "I7+", -0.0357646131], + ["I7+", "N2-", -0.0357646131], + ["N2-", "I5+", 0.0159643105], + ["I5+", "N2-", 0.0159643105], + ["N2-", "I2+", 0.111079595], + ["I2+", "N2-", 0.111079595], + ["N2-", "Ba2+", 0.0917885273], + ["Ba2+", "N2-", 0.0917885273], + ["N2-", "La3+", -0.0144871597], + ["La3+", "N2-", -0.0144871597], + ["N2-", "La2+", -0.1174775742], + ["La2+", "N2-", -0.1174775742], + ["N2-", "Ce3+", 0.0249281743], + ["Ce3+", "N2-", 0.0249281743], + ["N2-", "Ce2+", -0.1829938454], + ["Ce2+", "N2-", -0.1829938454], + ["N2-", "Ce4+", -0.1391823033], + ["Ce4+", "N2-", -0.1391823033], + ["N2-", "Pr3+", -0.1891891705], + ["Pr3+", "N2-", -0.1891891705], + ["N2-", "Pr4+", -0.1746934565], + ["Pr4+", "N2-", -0.1746934565], + ["N2-", "Pr2+", -0.1598302777], + ["Pr2+", "N2-", -0.1598302777], + ["N2-", "Nd3+", -0.1490596817], + ["Nd3+", "N2-", -0.1490596817], + ["N2-", "Nd2+", -0.1325332497], + ["Nd2+", "N2-", -0.1325332497], + ["N2-", "Pm3+", 0.0596429485], + ["Pm3+", "N2-", 0.0596429485], + ["N2-", "Sm3+", -0.1503411651], + ["Sm3+", "N2-", -0.1503411651], + ["N2-", "Sm2+", -0.0366907959], + ["Sm2+", "N2-", -0.0366907959], + ["N2-", "Eu2+", -0.0396100153], + ["Eu2+", "N2-", -0.0396100153], + ["N2-", "Eu3+", -0.2165336565], + ["Eu3+", "N2-", -0.2165336565], + ["N2-", "Gd2+", -0.1127459046], + ["Gd2+", "N2-", -0.1127459046], + ["N2-", "Gd3+", -0.1430435165], + ["Gd3+", "N2-", -0.1430435165], + ["N2-", "Tb3+", -0.3004895274], + ["Tb3+", "N2-", -0.3004895274], + ["N2-", "Tb2+", -0.2083914495], + ["Tb2+", "N2-", -0.2083914495], + ["N2-", "Tb4+", -0.3393038415], + ["Tb4+", "N2-", 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["Ta3+", "N2-", 0.0106245005], + ["N2-", "Ta4+", 0.2391336544], + ["Ta4+", "N2-", 0.2391336544], + ["N2-", "Ta2+", 0.1531171922], + ["Ta2+", "N2-", 0.1531171922], + ["N2-", "W6+", 0.0193201086], + ["W6+", "N2-", 0.0193201086], + ["N2-", "W4+", 0.0758886298], + ["W4+", "N2-", 0.0758886298], + ["N2-", "W2+", -0.0475266928], + ["W2+", "N2-", -0.0475266928], + ["N2-", "W3+", 0.1709779469], + ["W3+", "N2-", 0.1709779469], + ["N2-", "W5+", -0.0838173962], + ["W5+", "N2-", -0.0838173962], + ["N2-", "Re5+", 0.0732746486], + ["Re5+", "N2-", 0.0732746486], + ["N2-", "Re3+", 0.0413340082], + ["Re3+", "N2-", 0.0413340082], + ["N2-", "Re6+", -0.0241606229], + ["Re6+", "N2-", -0.0241606229], + ["N2-", "Re2+", 0.0159863829], + ["Re2+", "N2-", 0.0159863829], + ["N2-", "Re4+", 0.0582036705], + ["Re4+", "N2-", 0.0582036705], + ["N2-", "Re7+", -0.0073083842], + ["Re7+", "N2-", -0.0073083842], + ["N2-", "Os7+", 0.1076150635], + ["Os7+", "N2-", 0.1076150635], + ["N2-", "Os6+", 0.0825180956], + ["Os6+", 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0.2493058609], + ["Br3+", "Mg2+", 0.2493058609], + ["Mg2+", "Sr2+", 0.6280185728], + ["Sr2+", "Mg2+", 0.6280185728], + ["Mg2+", "Y3+", 0.5037044334], + ["Y3+", "Mg2+", 0.5037044334], + ["Mg2+", "Y2+", 0.3861621496], + ["Y2+", "Mg2+", 0.3861621496], + ["Mg2+", "Zr2+", -0.1749591205], + ["Zr2+", "Mg2+", -0.1749591205], + ["Mg2+", "Zr4+", 0.3572916484], + ["Zr4+", "Mg2+", 0.3572916484], + ["Mg2+", "Zr3+", 0.0206948908], + ["Zr3+", "Mg2+", 0.0206948908], + ["Mg2+", "Nb5+", 0.5626953296], + ["Nb5+", "Mg2+", 0.5626953296], + ["Mg2+", "Nb3+", 0.23986819], + ["Nb3+", "Mg2+", 0.23986819], + ["Mg2+", "Nb4+", 0.4340903916], + ["Nb4+", "Mg2+", 0.4340903916], + ["Mg2+", "Nb2+", 0.1951090894], + ["Nb2+", "Mg2+", 0.1951090894], + ["Mg2+", "Nb7+", 0.44408574], + ["Nb7+", "Mg2+", 0.44408574], + ["Mg2+", "Mo3+", 0.3095320715], + ["Mo3+", "Mg2+", 0.3095320715], + ["Mg2+", "Mo4+", 0.5134160838], + ["Mo4+", "Mg2+", 0.5134160838], + ["Mg2+", "Mo6+", 0.4860656795], + ["Mo6+", "Mg2+", 0.4860656795], + ["Mg2+", "Mo5+", 0.2825001083], + ["Mo5+", "Mg2+", 0.2825001083], + ["Mg2+", "Mo2+", 0.141768579], + ["Mo2+", "Mg2+", 0.141768579], + ["Mg2+", "Tc4+", 0.2221441079], + ["Tc4+", "Mg2+", 0.2221441079], + ["Mg2+", "Tc3-", -0.0324924027], + ["Tc3-", "Mg2+", -0.0324924027], + ["Mg2+", "Tc3+", 0.22114268], + ["Tc3+", "Mg2+", 0.22114268], + ["Mg2+", "Tc7+", 0.3141976997], + ["Tc7+", "Mg2+", 0.3141976997], + ["Mg2+", "Tc5+", 0.2184033463], + ["Tc5+", "Mg2+", 0.2184033463], + ["Mg2+", "Tc6+", -0.1839547872], + ["Tc6+", "Mg2+", -0.1839547872], + ["Mg2+", "Tc2-", -0.0646340202], + ["Tc2-", "Mg2+", -0.0646340202], + ["Mg2+", "Tc2+", 0.1259387399], + ["Tc2+", "Mg2+", 0.1259387399], + ["Mg2+", "Ru2+", 0.0095107963], + ["Ru2+", "Mg2+", 0.0095107963], + ["Mg2+", "Ru6+", 0.1830202246], + ["Ru6+", "Mg2+", 0.1830202246], + ["Mg2+", "Ru4+", 0.4577329162], + ["Ru4+", "Mg2+", 0.4577329162], + ["Mg2+", "Ru5+", 0.4315787393], + ["Ru5+", "Mg2+", 0.4315787393], + ["Mg2+", "Ru3+", 0.1579570425], + ["Ru3+", "Mg2+", 0.1579570425], + ["Mg2+", "Rh4+", 0.4062885223], + ["Rh4+", "Mg2+", 0.4062885223], + ["Mg2+", "Rh3+", 0.3901959405], + ["Rh3+", "Mg2+", 0.3901959405], + ["Mg2+", "Pd2+", 0.3221991771], + ["Pd2+", "Mg2+", 0.3221991771], + ["Mg2+", "Pd4+", 0.1088475602], + ["Pd4+", "Mg2+", 0.1088475602], + ["Mg2+", "Pd3+", 0.1263213572], + ["Pd3+", "Mg2+", 0.1263213572], + ["Mg2+", "Ag3+", 0.4714161905], + ["Ag3+", "Mg2+", 0.4714161905], + ["Mg2+", "Ag2+", 0.2336440347], + ["Ag2+", "Mg2+", 0.2336440347], + ["Mg2+", "Cd2+", 0.3375312545], + ["Cd2+", "Mg2+", 0.3375312545], + ["Mg2+", "In3+", 0.433272822], + ["In3+", "Mg2+", 0.433272822], + ["Mg2+", "In2+", 0.1678712627], + ["In2+", "Mg2+", 0.1678712627], + ["Mg2+", "Sn4+", 0.4518862894], + ["Sn4+", "Mg2+", 0.4518862894], + ["Mg2+", "Sn3+", 0.4430000627], + ["Sn3+", "Mg2+", 0.4430000627], + ["Mg2+", "Sn2+", 0.2285246347], + ["Sn2+", "Mg2+", 0.2285246347], + ["Mg2+", "Sb5+", 0.3485966114], + ["Sb5+", "Mg2+", 0.3485966114], + ["Mg2+", "Sb2-", 0.0255612397], + ["Sb2-", "Mg2+", 0.0255612397], + ["Mg2+", "Sb3-", 0.0051508854], + ["Sb3-", "Mg2+", 0.0051508854], + ["Mg2+", "Sb3+", 0.2267978645], + ["Sb3+", "Mg2+", 0.2267978645], + ["Mg2+", "Sb4+", 0.3567298627], + ["Sb4+", "Mg2+", 0.3567298627], + ["Mg2+", "Te2-", 0.0838672009], + ["Te2-", "Mg2+", 0.0838672009], + ["Mg2+", "Te4+", 0.4347544814], + ["Te4+", "Mg2+", 0.4347544814], + ["Mg2+", "Te6+", 0.459138411], + ["Te6+", "Mg2+", 0.459138411], + ["Mg2+", "Te2+", 0.0080598549], + ["Te2+", "Mg2+", 0.0080598549], + ["Mg2+", "Te5+", 0.5450592823], + ["Te5+", "Mg2+", 0.5450592823], + ["Mg2+", "I3+", 0.1972205367], + ["I3+", "Mg2+", 0.1972205367], + ["Mg2+", "I7+", 0.4579102064], + ["I7+", "Mg2+", 0.4579102064], + ["Mg2+", "I5+", 0.4148111546], + ["I5+", "Mg2+", 0.4148111546], + ["Mg2+", "I2+", 0.3661069179], + ["I2+", "Mg2+", 0.3661069179], + ["Mg2+", "Ba2+", 0.5708250476], + ["Ba2+", "Mg2+", 0.5708250476], + ["Mg2+", "La3+", 0.5072626735], + ["La3+", "Mg2+", 0.5072626735], + ["Mg2+", "La2+", 0.4727685374], + ["La2+", "Mg2+", 0.4727685374], + ["Mg2+", "Ce3+", 0.2922745012], + ["Ce3+", "Mg2+", 0.2922745012], + ["Mg2+", "Ce2+", 0.3305602261], + ["Ce2+", "Mg2+", 0.3305602261], + ["Mg2+", "Ce4+", 0.4157648181], + ["Ce4+", "Mg2+", 0.4157648181], + ["Mg2+", "Pr3+", 0.3201994792], + ["Pr3+", "Mg2+", 0.3201994792], + ["Mg2+", "Pr4+", 0.4980469242], + ["Pr4+", "Mg2+", 0.4980469242], + ["Mg2+", "Pr2+", 0.24694335], + ["Pr2+", "Mg2+", 0.24694335], + ["Mg2+", "Nd3+", 0.4268966284], + ["Nd3+", "Mg2+", 0.4268966284], + ["Mg2+", "Nd2+", 0.3521870421], + ["Nd2+", "Mg2+", 0.3521870421], + ["Mg2+", "Pm3+", 0.3786990642], + ["Pm3+", "Mg2+", 0.3786990642], + ["Mg2+", "Sm3+", 0.3770000212], + ["Sm3+", "Mg2+", 0.3770000212], + ["Mg2+", "Sm2+", 0.096580256], + ["Sm2+", "Mg2+", 0.096580256], + ["Mg2+", "Eu2+", 0.5140999597], + ["Eu2+", "Mg2+", 0.5140999597], + ["Mg2+", "Eu3+", 0.4922215414], + ["Eu3+", "Mg2+", 0.4922215414], + ["Mg2+", "Gd2+", 0.0288888145], + ["Gd2+", "Mg2+", 0.0288888145], + ["Mg2+", "Gd3+", 0.4260977642], + ["Gd3+", "Mg2+", 0.4260977642], + ["Mg2+", "Tb3+", 0.3834985296], + ["Tb3+", "Mg2+", 0.3834985296], + ["Mg2+", "Tb2+", 0.1372038345], + ["Tb2+", "Mg2+", 0.1372038345], + ["Mg2+", "Tb4+", 0.4583184156], + ["Tb4+", "Mg2+", 0.4583184156], + ["Mg2+", "Dy3+", 0.3556528369], + ["Dy3+", "Mg2+", 0.3556528369], + ["Mg2+", "Dy2+", 0.1306465151], + ["Dy2+", "Mg2+", 0.1306465151], + ["Mg2+", "Ho3+", 0.415384326], + ["Ho3+", "Mg2+", 0.415384326], + ["Mg2+", "Ho2+", 0.2019899818], + ["Ho2+", "Mg2+", 0.2019899818], + ["Mg2+", "Er3+", 0.3633174996], + ["Er3+", "Mg2+", 0.3633174996], + ["Mg2+", "Tm3+", 0.3864372946], + ["Tm3+", "Mg2+", 0.3864372946], + ["Mg2+", "Tm2+", 0.0822431901], + ["Tm2+", "Mg2+", 0.0822431901], + ["Mg2+", "Yb3+", 0.5037095376], + ["Yb3+", "Mg2+", 0.5037095376], + ["Mg2+", "Yb2+", 0.1922855292], + ["Yb2+", "Mg2+", 0.1922855292], + ["Mg2+", "Lu3+", 0.4108301445], + ["Lu3+", "Mg2+", 0.4108301445], + ["Mg2+", "Hf3+", 0.2407926233], + ["Hf3+", "Mg2+", 0.2407926233], + ["Mg2+", "Hf2+", 0.292843061], + ["Hf2+", "Mg2+", 0.292843061], + ["Mg2+", "Hf4+", 0.4727240908], + ["Hf4+", "Mg2+", 0.4727240908], + ["Mg2+", "Ta5+", 0.5045477299], + ["Ta5+", "Mg2+", 0.5045477299], + ["Mg2+", "Ta3+", -0.1300937652], + ["Ta3+", "Mg2+", -0.1300937652], + ["Mg2+", "Ta4+", 0.2882337429], + ["Ta4+", "Mg2+", 0.2882337429], + ["Mg2+", "Ta2+", -0.0416050772], + ["Ta2+", "Mg2+", -0.0416050772], + ["Mg2+", "W6+", 0.562845956], + ["W6+", "Mg2+", 0.562845956], + ["Mg2+", "W4+", 0.3419188105], + ["W4+", "Mg2+", 0.3419188105], + ["Mg2+", "W2+", 0.1904326094], + ["W2+", "Mg2+", 0.1904326094], + ["Mg2+", "W3+", 0.3475070176], + ["W3+", "Mg2+", 0.3475070176], + ["Mg2+", "W5+", 0.3856994486], + ["W5+", "Mg2+", 0.3856994486], + ["Mg2+", "Re5+", 0.4030034693], + ["Re5+", "Mg2+", 0.4030034693], + ["Mg2+", "Re3+", -0.02919503], + ["Re3+", "Mg2+", -0.02919503], + ["Mg2+", "Re6+", 0.0515325309], + ["Re6+", "Mg2+", 0.0515325309], + ["Mg2+", "Re2+", 0.0221063547], + ["Re2+", "Mg2+", 0.0221063547], + ["Mg2+", "Re4+", 0.1219197833], + ["Re4+", "Mg2+", 0.1219197833], + ["Mg2+", "Re7+", 0.3826373978], + ["Re7+", "Mg2+", 0.3826373978], + ["Mg2+", "Os7+", 0.233883153], + ["Os7+", "Mg2+", 0.233883153], + ["Mg2+", "Os6+", -0.058591897], + ["Os6+", "Mg2+", -0.058591897], + ["Mg2+", "Os5+", 0.3114885063], + ["Os5+", "Mg2+", 0.3114885063], + ["Mg2+", "Os2-", -0.1367863133], + ["Os2-", "Mg2+", -0.1367863133], + ["Mg2+", "Os3+", -0.1224005881], + ["Os3+", "Mg2+", -0.1224005881], + ["Mg2+", "Os4+", 0.1791178895], + ["Os4+", "Mg2+", 0.1791178895], + ["Mg2+", "Os8+", 0.1618499953], + ["Os8+", "Mg2+", 0.1618499953], + ["Mg2+", "Os2+", 0.2856037582], + ["Os2+", "Mg2+", 0.2856037582], + ["Mg2+", "Ir3+", 0.033996425], + ["Ir3+", "Mg2+", 0.033996425], + ["Mg2+", "Ir4+", 0.4131061624], + ["Ir4+", "Mg2+", 0.4131061624], + ["Mg2+", "Ir5+", 0.2455629409], + ["Ir5+", "Mg2+", 0.2455629409], + ["Mg2+", "Ir6+", 0.1617763461], + ["Ir6+", "Mg2+", 0.1617763461], + ["Mg2+", "Pt2+", 0.2278542207], + ["Pt2+", "Mg2+", 0.2278542207], + ["Mg2+", "Pt2-", -0.2066240185], + ["Pt2-", "Mg2+", -0.2066240185], + ["Mg2+", "Pt4+", 0.2607151902], + ["Pt4+", "Mg2+", 0.2607151902], + ["Mg2+", "Pt3+", 0.4279183539], + ["Pt3+", "Mg2+", 0.4279183539], + ["Mg2+", "Pt5+", 0.115504703], + ["Pt5+", "Mg2+", 0.115504703], + ["Mg2+", "Pt6+", 0.1165722455], + ["Pt6+", "Mg2+", 0.1165722455], + ["Mg2+", "Au2+", 0.1466812993], + ["Au2+", "Mg2+", 0.1466812993], + ["Mg2+", "Au3+", 0.0173630442], + ["Au3+", "Mg2+", 0.0173630442], + ["Mg2+", "Au5+", 0.0279154799], + ["Au5+", "Mg2+", 0.0279154799], + ["Mg2+", "Au4+", -0.1052114294], + ["Au4+", "Mg2+", -0.1052114294], + ["Mg2+", "Hg2+", 0.0600658991], + ["Hg2+", "Mg2+", 0.0600658991], + ["Mg2+", "Tl3+", 0.2731456315], + ["Tl3+", "Mg2+", 0.2731456315], + ["Mg2+", "Tl2+", 0.3670745289], + ["Tl2+", "Mg2+", 0.3670745289], + ["Mg2+", "Pb2+", 0.4202528547], + ["Pb2+", "Mg2+", 0.4202528547], + ["Mg2+", "Pb3+", 0.2908522287], + ["Pb3+", "Mg2+", 0.2908522287], + ["Mg2+", "Pb4+", 0.1995649331], + ["Pb4+", "Mg2+", 0.1995649331], + ["Mg2+", "Bi3+", 0.5451558821], + ["Bi3+", "Mg2+", 0.5451558821], + ["Mg2+", "Bi5+", 0.3756343512], + ["Bi5+", "Mg2+", 0.3756343512], + ["Mg2+", "Bi2+", 0.2244903236], + ["Bi2+", "Mg2+", 0.2244903236], + ["Mg2+", "Bi3-", 0.3102312968], + ["Bi3-", "Mg2+", 0.3102312968], + ["Mg2+", "Bi4+", 0.4971986708], + ["Bi4+", "Mg2+", 0.4971986708], + ["Mg2+", "Ac3+", 0.1348588986], + ["Ac3+", "Mg2+", 0.1348588986], + ["Mg2+", "Th4+", 0.2321572996], + ["Th4+", "Mg2+", 0.2321572996], + ["Mg2+", "Th3+", 0.037429388], + ["Th3+", "Mg2+", 0.037429388], + ["Mg2+", "Pa4+", 0.1048071092], + ["Pa4+", "Mg2+", 0.1048071092], + ["Mg2+", "Pa5+", 0.2962069834], + ["Pa5+", "Mg2+", 0.2962069834], + ["Mg2+", "Pa3+", 0.1192419769], + ["Pa3+", "Mg2+", 0.1192419769], + ["Mg2+", "U6+", 0.3439687149], + ["U6+", "Mg2+", 0.3439687149], + ["Mg2+", "U4+", 0.0139451798], + ["U4+", "Mg2+", 0.0139451798], + ["Mg2+", "U3+", 0.0556997546], + ["U3+", "Mg2+", 0.0556997546], + ["Mg2+", "U2+", -0.0317412528], + ["U2+", "Mg2+", -0.0317412528], + ["Mg2+", "U5+", 0.2462480477], + ["U5+", "Mg2+", 0.2462480477], + ["Mg2+", "Np6+", 0.2276683231], + ["Np6+", "Mg2+", 0.2276683231], + ["Mg2+", "Np4+", 0.1126777794], + ["Np4+", "Mg2+", 0.1126777794], + ["Mg2+", "Np3+", 0.1962913852], + ["Np3+", "Mg2+", 0.1962913852], + ["Mg2+", "Np7+", 0.4103440592], + ["Np7+", "Mg2+", 0.4103440592], + ["Mg2+", "Np5+", 0.3920082591], + ["Np5+", "Mg2+", 0.3920082591], + ["Mg2+", "Pu7+", 0.6073839439], + ["Pu7+", "Mg2+", 0.6073839439], + ["Mg2+", "Pu6+", 0.1038646646], + ["Pu6+", "Mg2+", 0.1038646646], + ["Mg2+", "Pu3+", 0.1898554776], + ["Pu3+", "Mg2+", 0.1898554776], + ["Mg2+", "Pu4+", 0.2901413399], + ["Pu4+", "Mg2+", 0.2901413399], + ["Mg2+", "Pu5+", 0.2561151397], + ["Pu5+", "Mg2+", 0.2561151397], + ["Mg2+", "H1+", 0.3642925635], + ["H1+", "Mg2+", 0.3642925635], + ["Mg2+", "H1-", 0.2638291205], + ["H1-", "Mg2+", 0.2638291205], + ["Mg2+", "Li1+", 0.6667109249], + ["Li1+", "Mg2+", 0.6667109249], + ["Mg2+", "B1+", 0.1258556631], + ["B1+", "Mg2+", 0.1258556631], + ["Mg2+", "B1-", -0.0946758042], + ["B1-", "Mg2+", -0.0946758042], + ["Mg2+", "C1-", 0.0842034709], + ["C1-", "Mg2+", 0.0842034709], + ["Mg2+", "C1+", 0.1840727024], + ["C1+", "Mg2+", 0.1840727024], + ["Mg2+", "N1-", 0.1385248913], + ["N1-", "Mg2+", 0.1385248913], + ["Mg2+", "N1+", 0.10718814], + ["N1+", "Mg2+", 0.10718814], + ["Mg2+", "O1-", 0.2731018669], + ["O1-", "Mg2+", 0.2731018669], + ["Mg2+", "F1-", 0.1920241974], + ["F1-", "Mg2+", 0.1920241974], + ["Mg2+", "Na1+", 0.7020085284], + ["Na1+", "Mg2+", 0.7020085284], + ["Mg2+", "Si1-", 0.3863696094], + ["Si1-", "Mg2+", 0.3863696094], + ["Mg2+", "P1+", 0.1459161447], + ["P1+", "Mg2+", 0.1459161447], + ["Mg2+", "P1-", -0.0388383758], + ["P1-", "Mg2+", -0.0388383758], + ["Mg2+", "S1-", 0.123409628], + ["S1-", "Mg2+", 0.123409628], + ["Mg2+", "S1+", 0.2248701702], + ["S1+", "Mg2+", 0.2248701702], + ["Mg2+", "Cl1-", 0.1388025653], + ["Cl1-", "Mg2+", 0.1388025653], + ["Mg2+", "K1+", 0.4565004417], + ["K1+", "Mg2+", 0.4565004417], + ["Mg2+", "Sc1+", -0.0245470453], + ["Sc1+", "Mg2+", -0.0245470453], + ["Mg2+", "Mn1+", 0.5263104192], + ["Mn1+", "Mg2+", 0.5263104192], + ["Mg2+", "Fe1+", 0.1390225621], + ["Fe1+", "Mg2+", 0.1390225621], + ["Mg2+", "Co1+", 0.1920679618], + ["Co1+", "Mg2+", 0.1920679618], + ["Mg2+", "Ni1+", 0.1072172083], + ["Ni1+", "Mg2+", 0.1072172083], + ["Mg2+", "Cu1+", 0.2922233112], + ["Cu1+", "Mg2+", 0.2922233112], + ["Mg2+", "Ga1+", 0.0694880484], + ["Ga1+", "Mg2+", 0.0694880484], + ["Mg2+", "As1-", 0.0316884607], + ["As1-", "Mg2+", 0.0316884607], + ["Mg2+", "As1+", 0.2990734612], + ["As1+", "Mg2+", 0.2990734612], + ["Mg2+", "Se1-", 0.0521611139], + ["Se1-", "Mg2+", 0.0521611139], + ["Mg2+", "Se1+", 0.3175123153], + ["Se1+", "Mg2+", 0.3175123153], + ["Mg2+", "Br1-", 0.2235269838], + ["Br1-", "Mg2+", 0.2235269838], + ["Mg2+", "Br1+", 0.140029318], + ["Br1+", "Mg2+", 0.140029318], + ["Mg2+", "Rb1+", 0.3911956302], + ["Rb1+", "Mg2+", 0.3911956302], + ["Mg2+", "Y1+", 0.1570349885], + ["Y1+", "Mg2+", 0.1570349885], + ["Mg2+", "Zr1+", -0.0526362817], + ["Zr1+", "Mg2+", -0.0526362817], + ["Mg2+", "Nb1+", 0.1292773894], + ["Nb1+", "Mg2+", 0.1292773894], + ["Mg2+", "Tc1-", -0.0365954717], + ["Tc1-", "Mg2+", -0.0365954717], + ["Mg2+", "Tc1+", 0.3178140168], + ["Tc1+", "Mg2+", 0.3178140168], + ["Mg2+", "Rh1+", 0.0830474195], + ["Rh1+", "Mg2+", 0.0830474195], + ["Mg2+", "Ag1+", 0.4165719285], + ["Ag1+", "Mg2+", 0.4165719285], + ["Mg2+", "In1+", 0.0622293403], + ["In1+", "Mg2+", 0.0622293403], + ["Mg2+", "Sb1-", 0.0478260465], + ["Sb1-", "Mg2+", 0.0478260465], + ["Mg2+", "Sb1+", -0.0110348359], + ["Sb1+", "Mg2+", -0.0110348359], + ["Mg2+", "Te1-", -0.1003496103], + ["Te1-", "Mg2+", -0.1003496103], + ["Mg2+", "Te1+", 0.0298775459], + ["Te1+", "Mg2+", 0.0298775459], + ["Mg2+", "I1-", 0.1639190804], + ["I1-", "Mg2+", 0.1639190804], + ["Mg2+", "I1+", 0.0036609078], + ["I1+", "Mg2+", 0.0036609078], + ["Mg2+", "Cs1+", 0.2982503934], + ["Cs1+", "Mg2+", 0.2982503934], + ["Mg2+", "La1+", 0.0577629579], + ["La1+", "Mg2+", 0.0577629579], + ["Mg2+", "Tb1+", -0.0496140532], + ["Tb1+", "Mg2+", -0.0496140532], + ["Mg2+", "Ta1+", 0.0334609829], + ["Ta1+", "Mg2+", 0.0334609829], + ["Mg2+", "Os1-", -0.0248854199], + ["Os1-", "Mg2+", -0.0248854199], + ["Mg2+", "Os1+", -0.0754068955], + ["Os1+", "Mg2+", -0.0754068955], + ["Mg2+", "Pt1-", 0.0725293081], + ["Pt1-", "Mg2+", 0.0725293081], + ["Mg2+", "Pt1+", 0.2056553937], + ["Pt1+", "Mg2+", 0.2056553937], + ["Mg2+", "Au1-", -0.3068404254], + ["Au1-", "Mg2+", -0.3068404254], + ["Mg2+", "Au1+", 0.1063909124], + ["Au1+", "Mg2+", 0.1063909124], + ["Mg2+", "Hg1+", 0.3458989215], + ["Hg1+", "Mg2+", 0.3458989215], + ["Mg2+", "Tl1+", 0.3437023206], + ["Tl1+", "Mg2+", 0.3437023206], + ["Mg2+", "Bi1+", -0.1267290685], + ["Bi1+", "Mg2+", -0.1267290685], + ["Al3+", "Al3+", 1.0], + ["Al3+", "Al2+", 0.2264875804], + ["Al2+", "Al3+", 0.2264875804], + ["Al3+", "Si2+", 0.362814654], + ["Si2+", "Al3+", 0.362814654], + ["Al3+", "Si4+", 0.5393166027], + ["Si4+", "Al3+", 0.5393166027], + ["Al3+", "Si2-", -0.0990610104], + ["Si2-", "Al3+", -0.0990610104], + ["Al3+", "Si4-", -0.0771347145], + ["Si4-", "Al3+", -0.0771347145], + ["Al3+", "Si3+", 0.4862327893], + ["Si3+", "Al3+", 0.4862327893], + ["Al3+", "Si3-", 0.0029840365], + ["Si3-", "Al3+", 0.0029840365], + ["Al3+", "P5+", 0.418385073], + ["P5+", "Al3+", 0.418385073], + ["Al3+", "P2-", -0.1101278849], + ["P2-", "Al3+", -0.1101278849], + ["Al3+", "P3-", -0.113711877], + ["P3-", "Al3+", -0.113711877], + ["Al3+", "P4+", 0.3523044614], + ["P4+", "Al3+", 0.3523044614], + ["Al3+", "P3+", 0.3427293619], + ["P3+", "Al3+", 0.3427293619], + ["Al3+", "P2+", 0.1582862994], + ["P2+", "Al3+", 0.1582862994], + ["Al3+", "S2-", -0.0074938995], + ["S2-", "Al3+", -0.0074938995], + ["Al3+", "S6+", 0.383687277], + ["S6+", "Al3+", 0.383687277], + ["Al3+", "S2+", 0.2655666093], + ["S2+", "Al3+", 0.2655666093], + ["Al3+", "S3+", 0.261918979], + ["S3+", "Al3+", 0.261918979], + ["Al3+", "S4+", 0.2759286188], + ["S4+", "Al3+", 0.2759286188], + ["Al3+", "S5+", 0.2951633036], + ["S5+", "Al3+", 0.2951633036], + ["Al3+", "Cl7+", 0.4251436106], + ["Cl7+", "Al3+", 0.4251436106], + ["Al3+", "Cl5+", 0.389304501], + ["Cl5+", "Al3+", 0.389304501], + ["Al3+", "Cl3+", 0.111144193], + ["Cl3+", "Al3+", 0.111144193], + ["Al3+", "Ca2+", 0.5495538895], + ["Ca2+", "Al3+", 0.5495538895], + ["Al3+", "Sc3+", 0.5655459816], + ["Sc3+", "Al3+", 0.5655459816], + ["Al3+", "Sc2+", 0.1320292931], + ["Sc2+", "Al3+", 0.1320292931], + ["Al3+", "Ti3+", 0.4933728784], + ["Ti3+", "Al3+", 0.4933728784], + ["Al3+", "Ti4+", 0.4071341991], + ["Ti4+", "Al3+", 0.4071341991], + ["Al3+", "Ti2+", 0.3757993618], + ["Ti2+", "Al3+", 0.3757993618], + ["Al3+", "V4+", 0.5303546992], + ["V4+", "Al3+", 0.5303546992], + ["Al3+", "V3+", 0.4091730953], + ["V3+", "Al3+", 0.4091730953], + ["Al3+", "V2+", 0.3616083047], + ["V2+", "Al3+", 0.3616083047], + ["Al3+", "V5+", 0.4449665156], + ["V5+", "Al3+", 0.4449665156], + ["Al3+", "Cr3+", 0.3661246174], + ["Cr3+", "Al3+", 0.3661246174], + ["Al3+", "Cr2+", 0.3867849405], + ["Cr2+", "Al3+", 0.3867849405], + ["Al3+", "Cr6+", 0.3297466644], + ["Cr6+", "Al3+", 0.3297466644], + ["Al3+", "Cr4+", 0.3305142344], + ["Cr4+", "Al3+", 0.3305142344], + ["Al3+", "Cr5+", 0.3632442441], + ["Cr5+", "Al3+", 0.3632442441], + ["Al3+", "Mn2+", 0.4435897124], + ["Mn2+", "Al3+", 0.4435897124], + ["Al3+", "Mn3+", 0.4907441829], + ["Mn3+", "Al3+", 0.4907441829], + ["Al3+", "Mn4+", 0.4803436558], + ["Mn4+", "Al3+", 0.4803436558], + ["Al3+", "Mn7+", 0.4055620719], + ["Mn7+", "Al3+", 0.4055620719], + ["Al3+", "Mn6+", 0.4716447137], + ["Mn6+", "Al3+", 0.4716447137], + ["Al3+", "Mn5+", 0.2739087128], + ["Mn5+", "Al3+", 0.2739087128], + ["Al3+", "Fe2+", 0.3029060647], + ["Fe2+", "Al3+", 0.3029060647], + ["Al3+", "Fe3+", 0.4797323989], + ["Fe3+", "Al3+", 0.4797323989], + ["Al3+", "Fe4+", 0.5251985009], + ["Fe4+", "Al3+", 0.5251985009], + ["Al3+", "Fe6+", 0.1110993471], + ["Fe6+", "Al3+", 0.1110993471], + ["Al3+", "Fe5+", 0.3556386237], + ["Fe5+", "Al3+", 0.3556386237], + ["Al3+", "Co2+", 0.4059640693], + ["Co2+", "Al3+", 0.4059640693], + ["Al3+", "Co4+", 0.4464975214], + ["Co4+", "Al3+", 0.4464975214], + ["Al3+", "Co3+", 0.4684038685], + ["Co3+", "Al3+", 0.4684038685], + ["Al3+", "Ni2+", 0.4530711088], + ["Ni2+", "Al3+", 0.4530711088], + ["Al3+", "Ni4+", 0.4595875647], + ["Ni4+", "Al3+", 0.4595875647], + ["Al3+", "Ni3+", 0.3104452846], + ["Ni3+", "Al3+", 0.3104452846], + ["Al3+", "Cu2+", 0.4601160852], + ["Cu2+", "Al3+", 0.4601160852], + ["Al3+", "Cu3+", 0.3289889833], + ["Cu3+", "Al3+", 0.3289889833], + ["Al3+", "Zn2+", 0.4877911395], + ["Zn2+", "Al3+", 0.4877911395], + ["Al3+", "Ga3+", 0.5307790551], + ["Ga3+", "Al3+", 0.5307790551], + ["Al3+", "Ga4+", 0.2181054073], + ["Ga4+", "Al3+", 0.2181054073], + ["Al3+", "Ga2+", 0.280703105], + ["Ga2+", "Al3+", 0.280703105], + ["Al3+", "Ge4-", 0.025435109], + ["Ge4-", "Al3+", 0.025435109], + ["Al3+", "Ge4+", 0.4238571102], + ["Ge4+", "Al3+", 0.4238571102], + ["Al3+", "Ge2-", 0.0033730533], + ["Ge2-", "Al3+", 0.0033730533], + ["Al3+", "Ge2+", 0.114020052], + ["Ge2+", "Al3+", 0.114020052], + ["Al3+", "Ge3+", 0.1574587778], + ["Ge3+", "Al3+", 0.1574587778], + ["Al3+", "As2-", 0.0933738859], + ["As2-", "Al3+", 0.0933738859], + ["Al3+", "As3+", 0.3299791772], + ["As3+", "Al3+", 0.3299791772], + ["Al3+", "As5+", 0.4024485924], + ["As5+", "Al3+", 0.4024485924], + ["Al3+", "As3-", -0.0732581997], + ["As3-", "Al3+", -0.0732581997], + ["Al3+", "As2+", 0.3105413476], + ["As2+", "Al3+", 0.3105413476], + ["Al3+", "As4+", 0.3700187425], + ["As4+", "Al3+", 0.3700187425], + ["Al3+", "Se2-", 0.0269420419], + ["Se2-", "Al3+", 0.0269420419], + ["Al3+", "Se4+", 0.4161992578], + ["Se4+", "Al3+", 0.4161992578], + ["Al3+", "Se6+", 0.3358706275], + ["Se6+", "Al3+", 0.3358706275], + ["Al3+", "Se5+", 0.4004008991], + ["Se5+", "Al3+", 0.4004008991], + ["Al3+", "Se2+", 0.180629987], + ["Se2+", "Al3+", 0.180629987], + ["Al3+", "Se3+", 0.1685580438], + ["Se3+", "Al3+", 0.1685580438], + ["Al3+", "Br2+", 0.1209455111], + ["Br2+", "Al3+", 0.1209455111], + ["Al3+", "Br5+", 0.401441676], + ["Br5+", "Al3+", 0.401441676], + ["Al3+", "Br3+", 0.2602889715], + ["Br3+", "Al3+", 0.2602889715], + ["Al3+", "Sr2+", 0.4664532817], + ["Sr2+", "Al3+", 0.4664532817], + ["Al3+", "Y3+", 0.608079901], + ["Y3+", "Al3+", 0.608079901], + ["Al3+", "Y2+", 0.2053954608], + ["Y2+", "Al3+", 0.2053954608], + ["Al3+", "Zr2+", 0.017719854], + ["Zr2+", "Al3+", 0.017719854], + ["Al3+", "Zr4+", 0.3231471869], + ["Zr4+", "Al3+", 0.3231471869], + ["Al3+", "Zr3+", 0.1472097256], + ["Zr3+", "Al3+", 0.1472097256], + ["Al3+", "Nb5+", 0.4295952413], + ["Nb5+", "Al3+", 0.4295952413], + ["Al3+", "Nb3+", 0.3917859343], + ["Nb3+", "Al3+", 0.3917859343], + ["Al3+", "Nb4+", 0.33227501], + ["Nb4+", "Al3+", 0.33227501], + ["Al3+", "Nb2+", 0.3166869734], + ["Nb2+", "Al3+", 0.3166869734], + ["Al3+", "Nb7+", 0.3674164595], + ["Nb7+", "Al3+", 0.3674164595], + ["Al3+", "Mo3+", 0.3857727088], + ["Mo3+", "Al3+", 0.3857727088], + ["Al3+", "Mo4+", 0.4330530454], + ["Mo4+", "Al3+", 0.4330530454], + ["Al3+", "Mo6+", 0.3617195876], + ["Mo6+", "Al3+", 0.3617195876], + ["Al3+", "Mo5+", 0.3109846669], + ["Mo5+", "Al3+", 0.3109846669], + ["Al3+", "Mo2+", 0.1906937184], + ["Mo2+", "Al3+", 0.1906937184], + ["Al3+", "Tc4+", 0.2591249541], + ["Tc4+", "Al3+", 0.2591249541], + ["Al3+", "Tc3-", -0.0132725656], + ["Tc3-", "Al3+", -0.0132725656], + ["Al3+", "Tc3+", 0.1837521475], + ["Tc3+", "Al3+", 0.1837521475], + ["Al3+", "Tc7+", 0.3236013027], + ["Tc7+", "Al3+", 0.3236013027], + ["Al3+", "Tc5+", 0.3626156216], + ["Tc5+", "Al3+", 0.3626156216], + ["Al3+", "Tc6+", -0.0966675194], + ["Tc6+", "Al3+", -0.0966675194], + ["Al3+", "Tc2-", 0.0565576695], + ["Tc2-", "Al3+", 0.0565576695], + ["Al3+", "Tc2+", 0.2372662789], + ["Tc2+", "Al3+", 0.2372662789], + ["Al3+", "Ru2+", 0.2429146946], + ["Ru2+", "Al3+", 0.2429146946], + ["Al3+", "Ru6+", 0.322423846], + ["Ru6+", "Al3+", 0.322423846], + ["Al3+", "Ru4+", 0.3283336702], + ["Ru4+", "Al3+", 0.3283336702], + ["Al3+", "Ru5+", 0.4595097508], + ["Ru5+", "Al3+", 0.4595097508], + ["Al3+", "Ru3+", 0.2943937755], + ["Ru3+", "Al3+", 0.2943937755], + ["Al3+", "Rh4+", 0.2672067689], + ["Rh4+", "Al3+", 0.2672067689], + ["Al3+", "Rh3+", 0.460173345], + ["Rh3+", "Al3+", 0.460173345], + ["Al3+", "Pd2+", 0.265156046], + ["Pd2+", "Al3+", 0.265156046], + ["Al3+", "Pd4+", 0.1724335094], + ["Pd4+", "Al3+", 0.1724335094], + ["Al3+", "Pd3+", 0.2198624749], + ["Pd3+", "Al3+", 0.2198624749], + ["Al3+", "Ag3+", 0.2159231093], + ["Ag3+", "Al3+", 0.2159231093], + ["Al3+", "Ag2+", 0.3108701812], + ["Ag2+", "Al3+", 0.3108701812], + ["Al3+", "Cd2+", 0.4541964862], + ["Cd2+", "Al3+", 0.4541964862], + ["Al3+", "In3+", 0.590743419], + ["In3+", "Al3+", 0.590743419], + ["Al3+", "In2+", 0.1515976639], + ["In2+", "Al3+", 0.1515976639], + ["Al3+", "Sn4+", 0.4275104965], + ["Sn4+", "Al3+", 0.4275104965], + ["Al3+", "Sn3+", 0.3374144545], + ["Sn3+", "Al3+", 0.3374144545], + ["Al3+", "Sn2+", 0.3008924216], + ["Sn2+", "Al3+", 0.3008924216], + ["Al3+", "Sb5+", 0.4280852641], + ["Sb5+", "Al3+", 0.4280852641], + ["Al3+", "Sb2-", -0.1274191476], + ["Sb2-", "Al3+", -0.1274191476], + ["Al3+", "Sb3-", -0.1291737545], + ["Sb3-", "Al3+", -0.1291737545], + ["Al3+", "Sb3+", 0.3977556929], + ["Sb3+", "Al3+", 0.3977556929], + ["Al3+", "Sb4+", 0.483260073], + ["Sb4+", "Al3+", 0.483260073], + ["Al3+", "Te2-", 0.0851634211], + ["Te2-", "Al3+", 0.0851634211], + ["Al3+", "Te4+", 0.4383455687], + ["Te4+", "Al3+", 0.4383455687], + ["Al3+", "Te6+", 0.3609332272], + ["Te6+", "Al3+", 0.3609332272], + ["Al3+", "Te2+", 0.1695570865], + ["Te2+", "Al3+", 0.1695570865], + ["Al3+", "Te5+", 0.3844542648], + ["Te5+", "Al3+", 0.3844542648], + ["Al3+", "I3+", 0.2971879342], + ["I3+", "Al3+", 0.2971879342], + ["Al3+", "I7+", 0.3717090714], + ["I7+", "Al3+", 0.3717090714], + ["Al3+", "I5+", 0.4460464426], + ["I5+", "Al3+", 0.4460464426], + ["Al3+", "I2+", 0.172225668], + ["I2+", "Al3+", 0.172225668], + ["Al3+", "Ba2+", 0.4671540053], + ["Ba2+", "Al3+", 0.4671540053], + ["Al3+", "La3+", 0.5007230388], + ["La3+", "Al3+", 0.5007230388], + ["Al3+", "La2+", 0.3958733844], + ["La2+", "Al3+", 0.3958733844], + ["Al3+", "Ce3+", 0.4140904312], + ["Ce3+", "Al3+", 0.4140904312], + ["Al3+", "Ce2+", 0.2461726725], + ["Ce2+", "Al3+", 0.2461726725], + ["Al3+", "Ce4+", 0.3715324516], + ["Ce4+", "Al3+", 0.3715324516], + ["Al3+", "Pr3+", 0.399833718], + ["Pr3+", "Al3+", 0.399833718], + ["Al3+", "Pr4+", 0.3595440581], + ["Pr4+", "Al3+", 0.3595440581], + ["Al3+", "Pr2+", 0.2459598525], + ["Pr2+", "Al3+", 0.2459598525], + ["Al3+", "Nd3+", 0.5145383555], + ["Nd3+", "Al3+", 0.5145383555], + ["Al3+", "Nd2+", 0.2076448463], + ["Nd2+", "Al3+", 0.2076448463], + ["Al3+", "Pm3+", 0.321043467], + ["Pm3+", "Al3+", 0.321043467], + 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0.3951821419], + ["Cr5+", "Si4+", 0.3951821419], + ["Si4+", "Mn2+", 0.3976827948], + ["Mn2+", "Si4+", 0.3976827948], + ["Si4+", "Mn3+", 0.4127869041], + ["Mn3+", "Si4+", 0.4127869041], + ["Si4+", "Mn4+", 0.4471429423], + ["Mn4+", "Si4+", 0.4471429423], + ["Si4+", "Mn7+", 0.5211960342], + ["Mn7+", "Si4+", 0.5211960342], + ["Si4+", "Mn6+", 0.4705421423], + ["Mn6+", "Si4+", 0.4705421423], + ["Si4+", "Mn5+", 0.5308212795], + ["Mn5+", "Si4+", 0.5308212795], + ["Si4+", "Fe2+", 0.3610285839], + ["Fe2+", "Si4+", 0.3610285839], + ["Si4+", "Fe3+", 0.4186198832], + ["Fe3+", "Si4+", 0.4186198832], + ["Si4+", "Fe4+", 0.3638116488], + ["Fe4+", "Si4+", 0.3638116488], + ["Si4+", "Fe6+", 0.1851161024], + ["Fe6+", "Si4+", 0.1851161024], + ["Si4+", "Fe5+", 0.1347006846], + ["Fe5+", "Si4+", 0.1347006846], + ["Si4+", "Co2+", 0.3306893433], + ["Co2+", "Si4+", 0.3306893433], + ["Si4+", "Co4+", 0.5246580716], + ["Co4+", "Si4+", 0.5246580716], + ["Si4+", "Co3+", 0.4257957072], + ["Co3+", "Si4+", 0.4257957072], 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0.5357115], + ["Sr2+", "Si4+", 0.5357115], + ["Si4+", "Y3+", 0.4410237914], + ["Y3+", "Si4+", 0.4410237914], + ["Si4+", "Y2+", 0.4222519909], + ["Y2+", "Si4+", 0.4222519909], + ["Si4+", "Zr2+", -0.1347167804], + ["Zr2+", "Si4+", -0.1347167804], + ["Si4+", "Zr4+", 0.3205091046], + ["Zr4+", "Si4+", 0.3205091046], + ["Si4+", "Zr3+", -0.0139818667], + ["Zr3+", "Si4+", -0.0139818667], + ["Si4+", "Nb5+", 0.5709776234], + ["Nb5+", "Si4+", 0.5709776234], + ["Si4+", "Nb3+", 0.1877474021], + ["Nb3+", "Si4+", 0.1877474021], + ["Si4+", "Nb4+", 0.4490056775], + ["Nb4+", "Si4+", 0.4490056775], + ["Si4+", "Nb2+", 0.1824724757], + ["Nb2+", "Si4+", 0.1824724757], + ["Si4+", "Nb7+", 0.432869951], + ["Nb7+", "Si4+", 0.432869951], + ["Si4+", "Mo3+", 0.3221999764], + ["Mo3+", "Si4+", 0.3221999764], + ["Si4+", "Mo4+", 0.4460690525], + ["Mo4+", "Si4+", 0.4460690525], + ["Si4+", "Mo6+", 0.5952268618], + ["Mo6+", "Si4+", 0.5952268618], + ["Si4+", "Mo5+", 0.3877932989], + ["Mo5+", "Si4+", 0.3877932989], + 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"Si4+", 0.4306517465], + ["Si4+", "Rh3+", 0.2549346069], + ["Rh3+", "Si4+", 0.2549346069], + ["Si4+", "Pd2+", 0.0107704602], + ["Pd2+", "Si4+", 0.0107704602], + ["Si4+", "Pd4+", 0.0285022623], + ["Pd4+", "Si4+", 0.0285022623], + ["Si4+", "Pd3+", -0.129709434], + ["Pd3+", "Si4+", -0.129709434], + ["Si4+", "Ag3+", 0.2929458363], + ["Ag3+", "Si4+", 0.2929458363], + ["Si4+", "Ag2+", 0.0584249083], + ["Ag2+", "Si4+", 0.0584249083], + ["Si4+", "Cd2+", 0.3745170598], + ["Cd2+", "Si4+", 0.3745170598], + ["Si4+", "In3+", 0.5556528981], + ["In3+", "Si4+", 0.5556528981], + ["Si4+", "In2+", 0.114977005], + ["In2+", "Si4+", 0.114977005], + ["Si4+", "Sn4+", 0.6766469424], + ["Sn4+", "Si4+", 0.6766469424], + ["Si4+", "Sn3+", 0.463894039], + ["Sn3+", "Si4+", 0.463894039], + ["Si4+", "Sn2+", 0.268604065], + ["Sn2+", "Si4+", 0.268604065], + ["Si4+", "Sb5+", 0.3992886128], + ["Sb5+", "Si4+", 0.3992886128], + ["Si4+", "Sb2-", -0.1701313951], + ["Sb2-", "Si4+", -0.1701313951], + ["Si4+", "Sb3-", 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["Si4+", "Ce3+", 0.3108603857], + ["Ce3+", "Si4+", 0.3108603857], + ["Si4+", "Ce2+", 0.1991491111], + ["Ce2+", "Si4+", 0.1991491111], + ["Si4+", "Ce4+", 0.3688569838], + ["Ce4+", "Si4+", 0.3688569838], + ["Si4+", "Pr3+", 0.2904830346], + ["Pr3+", "Si4+", 0.2904830346], + ["Si4+", "Pr4+", 0.5044597348], + ["Pr4+", "Si4+", 0.5044597348], + ["Si4+", "Pr2+", 0.1891021853], + ["Pr2+", "Si4+", 0.1891021853], + ["Si4+", "Nd3+", 0.4279285019], + ["Nd3+", "Si4+", 0.4279285019], + ["Si4+", "Nd2+", 0.250164899], + ["Nd2+", "Si4+", 0.250164899], + ["Si4+", "Pm3+", 0.3371748407], + ["Pm3+", "Si4+", 0.3371748407], + ["Si4+", "Sm3+", 0.4288321289], + ["Sm3+", "Si4+", 0.4288321289], + ["Si4+", "Sm2+", 0.0090540715], + ["Sm2+", "Si4+", 0.0090540715], + ["Si4+", "Eu2+", 0.3732110443], + ["Eu2+", "Si4+", 0.3732110443], + ["Si4+", "Eu3+", 0.3674782065], + ["Eu3+", "Si4+", 0.3674782065], + ["Si4+", "Gd2+", 0.033968967], + ["Gd2+", "Si4+", 0.033968967], + ["Si4+", "Gd3+", 0.428235219], + ["Gd3+", "Si4+", 0.428235219], + ["Si4+", "Tb3+", 0.4066809703], + ["Tb3+", "Si4+", 0.4066809703], + ["Si4+", "Tb2+", 0.0488936404], + ["Tb2+", "Si4+", 0.0488936404], + ["Si4+", "Tb4+", 0.2584400079], + ["Tb4+", "Si4+", 0.2584400079], + ["Si4+", "Dy3+", 0.3671369454], + ["Dy3+", "Si4+", 0.3671369454], + ["Si4+", "Dy2+", 0.0675540583], + ["Dy2+", "Si4+", 0.0675540583], + ["Si4+", "Ho3+", 0.4540960566], + ["Ho3+", "Si4+", 0.4540960566], + ["Si4+", "Ho2+", 0.0984800881], + ["Ho2+", "Si4+", 0.0984800881], + ["Si4+", "Er3+", 0.2699039209], + ["Er3+", "Si4+", 0.2699039209], + ["Si4+", "Tm3+", 0.378535645], + ["Tm3+", "Si4+", 0.378535645], + ["Si4+", "Tm2+", 0.0844704839], + ["Tm2+", "Si4+", 0.0844704839], + ["Si4+", "Yb3+", 0.2632879776], + ["Yb3+", "Si4+", 0.2632879776], + ["Si4+", "Yb2+", -0.0169979122], + ["Yb2+", "Si4+", -0.0169979122], + ["Si4+", "Lu3+", 0.2910092102], + ["Lu3+", "Si4+", 0.2910092102], + ["Si4+", "Hf3+", 0.2509925993], + ["Hf3+", "Si4+", 0.2509925993], + ["Si4+", "Hf2+", 0.2098480578], + ["Hf2+", "Si4+", 0.2098480578], + ["Si4+", "Hf4+", 0.4362588127], + ["Hf4+", "Si4+", 0.4362588127], + ["Si4+", "Ta5+", 0.5556219359], + ["Ta5+", "Si4+", 0.5556219359], + ["Si4+", "Ta3+", -0.2087765137], + ["Ta3+", "Si4+", -0.2087765137], + ["Si4+", "Ta4+", 0.3854965707], + ["Ta4+", "Si4+", 0.3854965707], + ["Si4+", "Ta2+", -0.0825568958], + ["Ta2+", "Si4+", -0.0825568958], + ["Si4+", "W6+", 0.597564102], + ["W6+", "Si4+", 0.597564102], + ["Si4+", "W4+", 0.4699253917], + ["W4+", "Si4+", 0.4699253917], + ["Si4+", "W2+", 0.2728852426], + ["W2+", "Si4+", 0.2728852426], + ["Si4+", "W3+", 0.3720834529], + ["W3+", "Si4+", 0.3720834529], + ["Si4+", "W5+", 0.4501680419], + ["W5+", "Si4+", 0.4501680419], + ["Si4+", "Re5+", 0.3657905645], + ["Re5+", "Si4+", 0.3657905645], + ["Si4+", "Re3+", 0.0681449378], + ["Re3+", "Si4+", 0.0681449378], + ["Si4+", "Re6+", 0.2810938153], + ["Re6+", "Si4+", 0.2810938153], + ["Si4+", "Re2+", 0.2654719143], + ["Re2+", "Si4+", 0.2654719143], + ["Si4+", "Re4+", 0.183829893], + ["Re4+", "Si4+", 0.183829893], + ["Si4+", "Re7+", 0.4630752771], + ["Re7+", "Si4+", 0.4630752771], + ["Si4+", "Os7+", 0.2318513135], + ["Os7+", "Si4+", 0.2318513135], + ["Si4+", "Os6+", -0.0004969675], + ["Os6+", "Si4+", -0.0004969675], + ["Si4+", "Os5+", 0.4321013139], + ["Os5+", "Si4+", 0.4321013139], + ["Si4+", "Os2-", -0.0624205994], + ["Os2-", "Si4+", -0.0624205994], + ["Si4+", "Os3+", 0.0336107048], + ["Os3+", "Si4+", 0.0336107048], + ["Si4+", "Os4+", 0.1907743801], + ["Os4+", "Si4+", 0.1907743801], + ["Si4+", "Os8+", -0.0217710368], + ["Os8+", "Si4+", -0.0217710368], + ["Si4+", "Os2+", 0.3274045697], + ["Os2+", "Si4+", 0.3274045697], + ["Si4+", "Ir3+", -0.1184887477], + ["Ir3+", "Si4+", -0.1184887477], + ["Si4+", "Ir4+", 0.5338256089], + ["Ir4+", "Si4+", 0.5338256089], + ["Si4+", "Ir5+", 0.5357133981], + ["Ir5+", "Si4+", 0.5357133981], + ["Si4+", "Ir6+", 0.2692563613], + ["Ir6+", "Si4+", 0.2692563613], + ["Si4+", "Pt2+", 0.0651247724], + ["Pt2+", "Si4+", 0.0651247724], + ["Si4+", "Pt2-", -0.197887726], + ["Pt2-", "Si4+", -0.197887726], + ["Si4+", "Pt4+", 0.2633947688], + ["Pt4+", "Si4+", 0.2633947688], + ["Si4+", "Pt3+", 0.325765728], + ["Pt3+", "Si4+", 0.325765728], + ["Si4+", "Pt5+", 0.1101112197], + ["Pt5+", "Si4+", 0.1101112197], + ["Si4+", "Pt6+", 0.1994728108], + ["Pt6+", "Si4+", 0.1994728108], + ["Si4+", "Au2+", 0.1081280428], + ["Au2+", "Si4+", 0.1081280428], + ["Si4+", "Au3+", 0.0732190355], + ["Au3+", "Si4+", 0.0732190355], + ["Si4+", "Au5+", 0.0612234494], + ["Au5+", "Si4+", 0.0612234494], + ["Si4+", "Au4+", -0.0879340212], + ["Au4+", "Si4+", -0.0879340212], + ["Si4+", "Hg2+", 0.1605131358], + ["Hg2+", "Si4+", 0.1605131358], + ["Si4+", "Tl3+", 0.2801367124], + ["Tl3+", "Si4+", 0.2801367124], + ["Si4+", "Tl2+", 0.2963331927], + ["Tl2+", "Si4+", 0.2963331927], + ["Si4+", "Pb2+", 0.3558326865], + ["Pb2+", "Si4+", 0.3558326865], + ["Si4+", "Pb3+", 0.2838782889], + ["Pb3+", "Si4+", 0.2838782889], + ["Si4+", "Pb4+", 0.4639671065], + ["Pb4+", "Si4+", 0.4639671065], + ["Si4+", "Bi3+", 0.5595928137], + ["Bi3+", "Si4+", 0.5595928137], + ["Si4+", "Bi5+", 0.382783635], + ["Bi5+", "Si4+", 0.382783635], + ["Si4+", "Bi2+", 0.375578637], + ["Bi2+", "Si4+", 0.375578637], + ["Si4+", "Bi3-", -0.0341688065], + ["Bi3-", "Si4+", -0.0341688065], + ["Si4+", "Bi4+", 0.4379291824], + ["Bi4+", "Si4+", 0.4379291824], + ["Si4+", "Ac3+", 0.1071160822], + ["Ac3+", "Si4+", 0.1071160822], + ["Si4+", "Th4+", 0.0989070859], + ["Th4+", "Si4+", 0.0989070859], + ["Si4+", "Th3+", 0.0889444839], + ["Th3+", "Si4+", 0.0889444839], + ["Si4+", "Pa4+", 0.2659736322], + ["Pa4+", "Si4+", 0.2659736322], + ["Si4+", "Pa5+", 0.2979068407], + ["Pa5+", "Si4+", 0.2979068407], + ["Si4+", "Pa3+", 0.0740623817], + ["Pa3+", "Si4+", 0.0740623817], + ["Si4+", "U6+", 0.4616001798], + ["U6+", "Si4+", 0.4616001798], + ["Si4+", "U4+", -0.0133436193], + ["U4+", "Si4+", -0.0133436193], + ["Si4+", "U3+", -0.041117797], + ["U3+", "Si4+", -0.041117797], + ["Si4+", "U2+", -0.0009111045], + ["U2+", "Si4+", -0.0009111045], + ["Si4+", "U5+", 0.3158611964], + ["U5+", "Si4+", 0.3158611964], + ["Si4+", "Np6+", 0.1372018736], + ["Np6+", "Si4+", 0.1372018736], + ["Si4+", "Np4+", 0.1181451129], + ["Np4+", "Si4+", 0.1181451129], + ["Si4+", "Np3+", 0.1479701008], + ["Np3+", "Si4+", 0.1479701008], + ["Si4+", "Np7+", 0.4936038692], + ["Np7+", "Si4+", 0.4936038692], + ["Si4+", "Np5+", 0.3775591875], + ["Np5+", "Si4+", 0.3775591875], + ["Si4+", "Pu7+", 0.6459954964], + ["Pu7+", "Si4+", 0.6459954964], + ["Si4+", "Pu6+", 0.2470188162], + ["Pu6+", "Si4+", 0.2470188162], + ["Si4+", "Pu3+", 0.2389962449], + ["Pu3+", "Si4+", 0.2389962449], + ["Si4+", "Pu4+", 0.2849370972], + ["Pu4+", "Si4+", 0.2849370972], + ["Si4+", "Pu5+", 0.297690064], + ["Pu5+", "Si4+", 0.297690064], + ["Si4+", "H1+", 0.5292163767], + ["H1+", "Si4+", 0.5292163767], + ["Si4+", "H1-", 0.1774834375], + ["H1-", "Si4+", 0.1774834375], + ["Si4+", "Li1+", 0.5593905464], + ["Li1+", "Si4+", 0.5593905464], + ["Si4+", "B1+", 0.1723392534], + ["B1+", "Si4+", 0.1723392534], + ["Si4+", "B1-", -0.0646482253], + ["B1-", "Si4+", -0.0646482253], + ["Si4+", "C1-", 0.1581215749], + ["C1-", "Si4+", 0.1581215749], + ["Si4+", "C1+", 0.2203143533], + ["C1+", "Si4+", 0.2203143533], + ["Si4+", "N1-", 0.1784995704], + ["N1-", "Si4+", 0.1784995704], + ["Si4+", "N1+", 0.2239137207], + ["N1+", "Si4+", 0.2239137207], + ["Si4+", "O1-", -0.0125305475], + ["O1-", "Si4+", -0.0125305475], + ["Si4+", "F1-", -0.0074653509], + ["F1-", "Si4+", -0.0074653509], + ["Si4+", "Na1+", 0.6971516172], + ["Na1+", "Si4+", 0.6971516172], + ["Si4+", "Si1-", -0.1195020637], + ["Si1-", "Si4+", -0.1195020637], + ["Si4+", "P1+", 0.0120106212], + ["P1+", "Si4+", 0.0120106212], + ["Si4+", "P1-", -0.0262813336], + ["P1-", "Si4+", -0.0262813336], + ["Si4+", "S1-", -0.0392117926], + ["S1-", "Si4+", -0.0392117926], + ["Si4+", "S1+", 0.3140570767], + ["S1+", "Si4+", 0.3140570767], + ["Si4+", "Cl1-", 0.0288240843], + ["Cl1-", "Si4+", 0.0288240843], + ["Si4+", "K1+", 0.3737294161], + ["K1+", "Si4+", 0.3737294161], + ["Si4+", "Sc1+", -0.0729851984], + ["Sc1+", "Si4+", -0.0729851984], + ["Si4+", "Mn1+", 0.1817480684], + ["Mn1+", "Si4+", 0.1817480684], + ["Si4+", "Fe1+", 0.1610921772], + ["Fe1+", "Si4+", 0.1610921772], + ["Si4+", "Co1+", 0.1264914912], + ["Co1+", "Si4+", 0.1264914912], + ["Si4+", "Ni1+", 0.0703006808], + ["Ni1+", "Si4+", 0.0703006808], + ["Si4+", "Cu1+", 0.2021278621], + ["Cu1+", "Si4+", 0.2021278621], + ["Si4+", "Ga1+", -0.2271073686], + ["Ga1+", "Si4+", -0.2271073686], + ["Si4+", "As1-", 0.0137790564], + ["As1-", "Si4+", 0.0137790564], + ["Si4+", "As1+", 0.4221621231], + ["As1+", "Si4+", 0.4221621231], + ["Si4+", "Se1-", -0.0691803775], + ["Se1-", "Si4+", -0.0691803775], + ["Si4+", "Se1+", 0.2893440631], + ["Se1+", "Si4+", 0.2893440631], + ["Si4+", "Br1-", 0.0178264154], + ["Br1-", "Si4+", 0.0178264154], + ["Si4+", "Br1+", 0.074552294], + ["Br1+", "Si4+", 0.074552294], + ["Si4+", "Rb1+", 0.2984143325], + ["Rb1+", "Si4+", 0.2984143325], + ["Si4+", "Y1+", 0.080358882], + ["Y1+", "Si4+", 0.080358882], + ["Si4+", "Zr1+", -0.1900825749], + ["Zr1+", "Si4+", -0.1900825749], + ["Si4+", "Nb1+", 0.0704837435], + ["Nb1+", "Si4+", 0.0704837435], + ["Si4+", "Tc1-", -0.0598530473], + ["Tc1-", "Si4+", -0.0598530473], + ["Si4+", "Tc1+", 0.1396735166], + ["Tc1+", "Si4+", 0.1396735166], + ["Si4+", "Rh1+", -0.138549619], + ["Rh1+", "Si4+", -0.138549619], + ["Si4+", "Ag1+", 0.3472381405], + ["Ag1+", "Si4+", 0.3472381405], + ["Si4+", "In1+", 0.0104484128], + ["In1+", "Si4+", 0.0104484128], + ["Si4+", "Sb1-", -0.1419551407], + ["Sb1-", "Si4+", -0.1419551407], + ["Si4+", "Sb1+", 0.1464376013], + ["Sb1+", "Si4+", 0.1464376013], + ["Si4+", "Te1-", -0.0410372889], + ["Te1-", "Si4+", -0.0410372889], + ["Si4+", "Te1+", -0.0199373213], + ["Te1+", "Si4+", -0.0199373213], + ["Si4+", "I1-", 0.0275055385], + ["I1-", "Si4+", 0.0275055385], + ["Si4+", "I1+", 0.0369580295], + ["I1+", "Si4+", 0.0369580295], + ["Si4+", "Cs1+", 0.3453097985], + ["Cs1+", "Si4+", 0.3453097985], + ["Si4+", "La1+", -0.0977867178], + ["La1+", "Si4+", -0.0977867178], + ["Si4+", "Tb1+", -0.1626208702], + ["Tb1+", "Si4+", -0.1626208702], + ["Si4+", "Ta1+", 0.1137411986], + ["Ta1+", "Si4+", 0.1137411986], + ["Si4+", "Os1-", -0.0272031203], + ["Os1-", "Si4+", -0.0272031203], + ["Si4+", "Os1+", -0.1729849177], + ["Os1+", "Si4+", -0.1729849177], + ["Si4+", "Pt1-", -0.0792711398], + ["Pt1-", "Si4+", -0.0792711398], + ["Si4+", "Pt1+", 0.1694054821], + ["Pt1+", "Si4+", 0.1694054821], + ["Si4+", "Au1-", -0.3987610809], + ["Au1-", "Si4+", -0.3987610809], + ["Si4+", "Au1+", -0.0301934734], + ["Au1+", "Si4+", -0.0301934734], + ["Si4+", "Hg1+", 0.1791507071], + ["Hg1+", "Si4+", 0.1791507071], + ["Si4+", "Tl1+", 0.290961666], + ["Tl1+", "Si4+", 0.290961666], + ["Si4+", "Bi1+", 0.205914518], + ["Bi1+", "Si4+", 0.205914518], + ["Si2-", "Si2-", 1.0], + ["Si2-", "Si4-", 0.2791546949], + ["Si4-", "Si2-", 0.2791546949], + ["Si2-", "Si3+", -0.206456286], + ["Si3+", "Si2-", -0.206456286], + ["Si2-", "Si3-", 0.0960191521], + ["Si3-", "Si2-", 0.0960191521], + ["Si2-", "P5+", -0.0314690864], + ["P5+", "Si2-", -0.0314690864], + ["Si2-", "P2-", 0.0900602205], + ["P2-", "Si2-", 0.0900602205], + ["Si2-", "P3-", 0.0840162794], + ["P3-", "Si2-", 0.0840162794], + ["Si2-", "P4+", 0.0219027416], + ["P4+", "Si2-", 0.0219027416], + ["Si2-", "P3+", -0.0245029667], + ["P3+", "Si2-", -0.0245029667], + ["Si2-", "P2+", -0.0023256086], + ["P2+", "Si2-", -0.0023256086], + ["Si2-", "S2-", 0.2243482878], + ["S2-", "Si2-", 0.2243482878], + ["Si2-", "S6+", -0.1095170382], + ["S6+", "Si2-", -0.1095170382], + ["Si2-", "S2+", 0.0108017325], + ["S2+", "Si2-", 0.0108017325], + ["Si2-", "S3+", -0.0023930664], + ["S3+", "Si2-", -0.0023930664], + ["Si2-", "S4+", -0.094084205], + ["S4+", "Si2-", -0.094084205], + ["Si2-", "S5+", -0.1465247901], + ["S5+", "Si2-", -0.1465247901], + ["Si2-", "Cl7+", -0.1014753131], + ["Cl7+", "Si2-", -0.1014753131], + ["Si2-", "Cl5+", 0.0761459467], + ["Cl5+", "Si2-", 0.0761459467], + ["Si2-", "Cl3+", -0.186188246], + ["Cl3+", "Si2-", -0.186188246], + ["Si2-", "Ca2+", 0.0048101963], + ["Ca2+", "Si2-", 0.0048101963], + ["Si2-", "Sc3+", -0.0607552287], + ["Sc3+", "Si2-", -0.0607552287], + ["Si2-", "Sc2+", 0.0166239868], + ["Sc2+", "Si2-", 0.0166239868], + ["Si2-", "Ti3+", -0.1602409825], + ["Ti3+", "Si2-", -0.1602409825], + ["Si2-", "Ti4+", 0.0981098611], + ["Ti4+", "Si2-", 0.0981098611], + ["Si2-", "Ti2+", -0.0185710493], + ["Ti2+", "Si2-", -0.0185710493], + ["Si2-", "V4+", -0.0255190906], + ["V4+", "Si2-", -0.0255190906], + ["Si2-", "V3+", -0.1061279705], + ["V3+", "Si2-", -0.1061279705], + ["Si2-", "V2+", 0.0765793685], + ["V2+", "Si2-", 0.0765793685], + ["Si2-", "V5+", 0.0055059761], + ["V5+", "Si2-", 0.0055059761], + ["Si2-", "Cr3+", 0.0193581887], + ["Cr3+", "Si2-", 0.0193581887], + ["Si2-", "Cr2+", -0.0406727519], + ["Cr2+", "Si2-", -0.0406727519], + ["Si2-", "Cr6+", -0.0417796707], + ["Cr6+", "Si2-", -0.0417796707], + ["Si2-", "Cr4+", 0.0189714587], + ["Cr4+", "Si2-", 0.0189714587], + ["Si2-", "Cr5+", -0.0576724564], + ["Cr5+", "Si2-", -0.0576724564], + ["Si2-", "Mn2+", -0.0725250719], + ["Mn2+", "Si2-", -0.0725250719], + ["Si2-", "Mn3+", -0.1646703373], + ["Mn3+", "Si2-", -0.1646703373], + ["Si2-", "Mn4+", -0.0657213662], + ["Mn4+", "Si2-", -0.0657213662], + ["Si2-", "Mn7+", -0.1075127649], + ["Mn7+", "Si2-", -0.1075127649], + ["Si2-", "Mn6+", 0.028591488], + ["Mn6+", "Si2-", 0.028591488], + ["Si2-", "Mn5+", -0.0339813622], + ["Mn5+", "Si2-", -0.0339813622], + ["Si2-", "Fe2+", -0.1439386105], + ["Fe2+", "Si2-", -0.1439386105], + ["Si2-", "Fe3+", -0.0997996396], + ["Fe3+", "Si2-", -0.0997996396], + ["Si2-", "Fe4+", -0.0791073525], + ["Fe4+", "Si2-", -0.0791073525], + ["Si2-", "Fe6+", -0.1849259581], + ["Fe6+", "Si2-", -0.1849259581], + ["Si2-", "Fe5+", 0.0076615107], + ["Fe5+", "Si2-", 0.0076615107], + ["Si2-", "Co2+", 0.0146705789], + ["Co2+", "Si2-", 0.0146705789], + ["Si2-", "Co4+", -0.1119308939], + ["Co4+", "Si2-", -0.1119308939], + ["Si2-", "Co3+", -0.1397579657], + ["Co3+", "Si2-", -0.1397579657], + ["Si2-", "Ni2+", -0.0325335947], + ["Ni2+", "Si2-", -0.0325335947], + ["Si2-", "Ni4+", -0.1330857502], + ["Ni4+", "Si2-", -0.1330857502], + ["Si2-", "Ni3+", -0.1119805157], + ["Ni3+", "Si2-", -0.1119805157], + ["Si2-", "Cu2+", -0.1253538376], + ["Cu2+", "Si2-", -0.1253538376], + ["Si2-", "Cu3+", -0.0825721062], + ["Cu3+", "Si2-", -0.0825721062], + ["Si2-", "Zn2+", -0.1006515763], + ["Zn2+", "Si2-", -0.1006515763], + ["Si2-", "Ga3+", -0.1053575096], + ["Ga3+", "Si2-", -0.1053575096], + ["Si2-", "Ga4+", 0.0610269442], + ["Ga4+", "Si2-", 0.0610269442], + ["Si2-", "Ga2+", -0.0182071544], + ["Ga2+", "Si2-", -0.0182071544], + ["Si2-", "Ge4-", 0.3150900733], + ["Ge4-", "Si2-", 0.3150900733], + ["Si2-", "Ge4+", -0.0814785556], + ["Ge4+", "Si2-", -0.0814785556], + ["Si2-", "Ge2-", 0.3162283795], + ["Ge2-", "Si2-", 0.3162283795], + ["Si2-", "Ge2+", -0.0689370866], + ["Ge2+", "Si2-", -0.0689370866], + ["Si2-", "Ge3+", -0.159123195], + ["Ge3+", "Si2-", -0.159123195], + ["Si2-", "As2-", -0.252179901], + ["As2-", "Si2-", -0.252179901], + ["Si2-", "As3+", 0.0386469878], + ["As3+", "Si2-", 0.0386469878], + ["Si2-", "As5+", -0.0743453832], + ["As5+", "Si2-", -0.0743453832], + ["Si2-", "As3-", 0.1288365964], + ["As3-", "Si2-", 0.1288365964], + ["Si2-", "As2+", -0.0386294471], + ["As2+", "Si2-", -0.0386294471], + ["Si2-", "As4+", 0.0084507427], + ["As4+", "Si2-", 0.0084507427], + ["Si2-", "Se2-", 0.2923116865], + ["Se2-", "Si2-", 0.2923116865], + ["Si2-", "Se4+", -0.0474468621], + ["Se4+", "Si2-", -0.0474468621], + ["Si2-", "Se6+", -0.0366837045], + ["Se6+", "Si2-", -0.0366837045], + ["Si2-", "Se5+", -0.013614781], + ["Se5+", "Si2-", -0.013614781], + ["Si2-", "Se2+", -0.033446136], + ["Se2+", "Si2-", -0.033446136], + ["Si2-", "Se3+", -0.0057442469], + ["Se3+", "Si2-", -0.0057442469], + ["Si2-", "Br2+", -0.0016340823], + ["Br2+", "Si2-", -0.0016340823], + ["Si2-", "Br5+", -0.0805775274], + ["Br5+", "Si2-", -0.0805775274], + ["Si2-", "Br3+", -0.0644654689], + ["Br3+", "Si2-", -0.0644654689], + ["Si2-", "Sr2+", 0.006913644], + ["Sr2+", "Si2-", 0.006913644], + ["Si2-", "Y3+", 0.1169587118], + ["Y3+", "Si2-", 0.1169587118], + ["Si2-", "Y2+", 0.0915196852], + ["Y2+", "Si2-", 0.0915196852], + ["Si2-", "Zr2+", 0.0303850723], + ["Zr2+", "Si2-", 0.0303850723], + ["Si2-", "Zr4+", 0.0024488869], + ["Zr4+", "Si2-", 0.0024488869], + ["Si2-", "Zr3+", 0.0312982333], + ["Zr3+", "Si2-", 0.0312982333], + ["Si2-", "Nb5+", 0.0876798756], + ["Nb5+", "Si2-", 0.0876798756], + ["Si2-", "Nb3+", -0.0076430622], + ["Nb3+", "Si2-", -0.0076430622], + ["Si2-", "Nb4+", -0.0449152965], + ["Nb4+", "Si2-", -0.0449152965], + ["Si2-", "Nb2+", 0.059290835], + ["Nb2+", "Si2-", 0.059290835], + ["Si2-", "Nb7+", -0.0857301272], + ["Nb7+", "Si2-", -0.0857301272], + ["Si2-", "Mo3+", 0.1636777822], + ["Mo3+", "Si2-", 0.1636777822], + ["Si2-", "Mo4+", 0.1376087207], + ["Mo4+", "Si2-", 0.1376087207], + ["Si2-", "Mo6+", -0.06014422], + ["Mo6+", "Si2-", -0.06014422], + ["Si2-", "Mo5+", 0.0049368712], + ["Mo5+", "Si2-", 0.0049368712], + ["Si2-", "Mo2+", -0.0405195188], + ["Mo2+", "Si2-", -0.0405195188], + ["Si2-", "Tc4+", 0.0214448179], + ["Tc4+", "Si2-", 0.0214448179], + ["Si2-", "Tc3-", 0.06764003], + ["Tc3-", "Si2-", 0.06764003], + ["Si2-", "Tc3+", 0.0477095773], + ["Tc3+", "Si2-", 0.0477095773], + ["Si2-", "Tc7+", -0.0284126442], + ["Tc7+", "Si2-", -0.0284126442], + ["Si2-", "Tc5+", -0.0417281365], + ["Tc5+", "Si2-", -0.0417281365], + ["Si2-", "Tc6+", -0.1035899926], + ["Tc6+", "Si2-", -0.1035899926], + ["Si2-", "Tc2-", 0.4032610641], + ["Tc2-", "Si2-", 0.4032610641], + ["Si2-", "Tc2+", 0.0147042859], + ["Tc2+", "Si2-", 0.0147042859], + ["Si2-", "Ru2+", 0.02840274], + ["Ru2+", "Si2-", 0.02840274], + ["Si2-", "Ru6+", -0.1191287488], + ["Ru6+", "Si2-", -0.1191287488], + ["Si2-", "Ru4+", -0.1681686828], + ["Ru4+", "Si2-", -0.1681686828], + ["Si2-", "Ru5+", -0.0697327851], + ["Ru5+", "Si2-", -0.0697327851], + ["Si2-", "Ru3+", 0.1316328096], + ["Ru3+", "Si2-", 0.1316328096], + ["Si2-", "Rh4+", -0.111615541], + ["Rh4+", "Si2-", -0.111615541], + ["Si2-", "Rh3+", 0.0519834696], + ["Rh3+", "Si2-", 0.0519834696], + ["Si2-", "Pd2+", 0.176184465], + ["Pd2+", "Si2-", 0.176184465], + ["Si2-", "Pd4+", -0.1858195695], + ["Pd4+", "Si2-", -0.1858195695], + ["Si2-", "Pd3+", 0.0862788684], + ["Pd3+", "Si2-", 0.0862788684], + ["Si2-", "Ag3+", -0.0574754012], + ["Ag3+", "Si2-", -0.0574754012], + ["Si2-", "Ag2+", -0.1234860269], + ["Ag2+", "Si2-", -0.1234860269], + ["Si2-", "Cd2+", -0.1129582563], + ["Cd2+", "Si2-", -0.1129582563], + ["Si2-", "In3+", -0.0889999022], + ["In3+", "Si2-", -0.0889999022], + ["Si2-", "In2+", 0.0572463458], + ["In2+", "Si2-", 0.0572463458], + ["Si2-", "Sn4+", -0.1377303421], + ["Sn4+", "Si2-", -0.1377303421], + ["Si2-", "Sn3+", 0.0086246932], + ["Sn3+", "Si2-", 0.0086246932], + ["Si2-", "Sn2+", -0.0134977154], + ["Sn2+", "Si2-", -0.0134977154], + ["Si2-", "Sb5+", -0.0239083639], + ["Sb5+", "Si2-", -0.0239083639], + ["Si2-", "Sb2-", 0.1633239511], + ["Sb2-", "Si2-", 0.1633239511], + ["Si2-", "Sb3-", 0.1959205219], + ["Sb3-", "Si2-", 0.1959205219], + ["Si2-", "Sb3+", -0.039008322], + ["Sb3+", "Si2-", -0.039008322], + ["Si2-", "Sb4+", -0.0288325813], + ["Sb4+", "Si2-", -0.0288325813], + ["Si2-", "Te2-", 0.1850209298], + ["Te2-", "Si2-", 0.1850209298], + ["Si2-", "Te4+", -0.11689174], + ["Te4+", "Si2-", -0.11689174], + ["Si2-", "Te6+", -0.0305534905], + ["Te6+", "Si2-", -0.0305534905], + ["Si2-", "Te2+", -0.0826131807], + ["Te2+", "Si2-", -0.0826131807], + ["Si2-", "Te5+", -0.0348674881], + ["Te5+", "Si2-", -0.0348674881], + ["Si2-", "I3+", -0.1216667454], + ["I3+", "Si2-", -0.1216667454], + ["Si2-", "I7+", -0.0109524709], + ["I7+", "Si2-", -0.0109524709], + ["Si2-", "I5+", -0.2423798847], + ["I5+", "Si2-", -0.2423798847], + ["Si2-", "I2+", -0.0201818953], + ["I2+", "Si2-", -0.0201818953], + ["Si2-", "Ba2+", 0.1282823613], + ["Ba2+", "Si2-", 0.1282823613], + ["Si2-", "La3+", -0.0375891606], + ["La3+", "Si2-", -0.0375891606], + ["Si2-", "La2+", 0.2450541771], + ["La2+", "Si2-", 0.2450541771], + ["Si2-", "Ce3+", 0.0671180636], + ["Ce3+", "Si2-", 0.0671180636], + ["Si2-", "Ce2+", 0.1807955542], + ["Ce2+", "Si2-", 0.1807955542], + ["Si2-", "Ce4+", 0.0361760718], + ["Ce4+", "Si2-", 0.0361760718], + ["Si2-", "Pr3+", 0.1390361814], + ["Pr3+", "Si2-", 0.1390361814], + ["Si2-", "Pr4+", -0.0235431682], + ["Pr4+", "Si2-", -0.0235431682], + ["Si2-", "Pr2+", 0.0450489591], + ["Pr2+", "Si2-", 0.0450489591], + ["Si2-", "Nd3+", -0.0605322569], + ["Nd3+", "Si2-", -0.0605322569], + ["Si2-", "Nd2+", 0.2515769659], + ["Nd2+", "Si2-", 0.2515769659], + ["Si2-", "Pm3+", 0.0198852123], + ["Pm3+", "Si2-", 0.0198852123], + ["Si2-", "Sm3+", -0.0852894964], + ["Sm3+", "Si2-", -0.0852894964], + ["Si2-", "Sm2+", 0.0849982763], + ["Sm2+", "Si2-", 0.0849982763], + ["Si2-", "Eu2+", 0.1300717855], + ["Eu2+", "Si2-", 0.1300717855], + ["Si2-", "Eu3+", 0.0398112991], + ["Eu3+", "Si2-", 0.0398112991], + ["Si2-", "Gd2+", -0.0132318835], + ["Gd2+", "Si2-", -0.0132318835], + ["Si2-", "Gd3+", -0.0126773629], + ["Gd3+", "Si2-", -0.0126773629], + ["Si2-", "Tb3+", 0.0091785466], + ["Tb3+", "Si2-", 0.0091785466], + ["Si2-", "Tb2+", 0.1438630501], + ["Tb2+", "Si2-", 0.1438630501], + ["Si2-", "Tb4+", 0.1880902487], + ["Tb4+", "Si2-", 0.1880902487], + ["Si2-", "Dy3+", -0.1108054983], + ["Dy3+", "Si2-", -0.1108054983], + ["Si2-", "Dy2+", 0.109535663], + ["Dy2+", "Si2-", 0.109535663], + ["Si2-", "Ho3+", -0.030823606], + ["Ho3+", "Si2-", -0.030823606], + ["Si2-", "Ho2+", 0.0892811694], + ["Ho2+", "Si2-", 0.0892811694], + ["Si2-", "Er3+", 0.0159906778], + ["Er3+", "Si2-", 0.0159906778], + ["Si2-", "Tm3+", -0.1445563208], + ["Tm3+", "Si2-", -0.1445563208], + ["Si2-", "Tm2+", 0.0189268245], + ["Tm2+", "Si2-", 0.0189268245], + ["Si2-", "Yb3+", 0.160800804], + ["Yb3+", "Si2-", 0.160800804], + ["Si2-", "Yb2+", 0.2075699718], + ["Yb2+", "Si2-", 0.2075699718], + ["Si2-", "Lu3+", -0.04603575], + ["Lu3+", "Si2-", -0.04603575], + ["Si2-", "Hf3+", -0.0356926011], + ["Hf3+", "Si2-", -0.0356926011], + ["Si2-", "Hf2+", -0.1392673947], + ["Hf2+", "Si2-", -0.1392673947], + ["Si2-", "Hf4+", 0.0941580419], + ["Hf4+", "Si2-", 0.0941580419], + ["Si2-", "Ta5+", 0.074870515], + ["Ta5+", "Si2-", 0.074870515], + ["Si2-", "Ta3+", -0.005397014], + ["Ta3+", "Si2-", -0.005397014], + ["Si2-", "Ta4+", -0.0712504852], + ["Ta4+", "Si2-", -0.0712504852], + ["Si2-", "Ta2+", -0.094794395], + ["Ta2+", "Si2-", -0.094794395], + ["Si2-", "W6+", -0.0112195956], + ["W6+", "Si2-", -0.0112195956], + ["Si2-", "W4+", 0.0196717642], + ["W4+", "Si2-", 0.0196717642], + ["Si2-", "W2+", -0.0004164543], + ["W2+", "Si2-", -0.0004164543], + ["Si2-", "W3+", -0.1036945349], + ["W3+", "Si2-", -0.1036945349], + ["Si2-", "W5+", 0.0485491359], + ["W5+", "Si2-", 0.0485491359], + ["Si2-", "Re5+", 0.143311451], + ["Re5+", "Si2-", 0.143311451], + ["Si2-", "Re3+", 0.0746627261], + ["Re3+", "Si2-", 0.0746627261], + ["Si2-", "Re6+", 0.0520260393], + ["Re6+", "Si2-", 0.0520260393], + ["Si2-", "Re2+", -0.0469784575], + ["Re2+", "Si2-", -0.0469784575], + ["Si2-", "Re4+", -0.0466098637], + ["Re4+", "Si2-", -0.0466098637], + ["Si2-", "Re7+", -0.0380120641], + ["Re7+", "Si2-", -0.0380120641], + ["Si2-", "Os7+", -0.0625763318], + ["Os7+", "Si2-", -0.0625763318], + ["Si2-", "Os6+", -0.0254431629], + ["Os6+", "Si2-", -0.0254431629], + ["Si2-", "Os5+", -0.0870976807], + ["Os5+", "Si2-", -0.0870976807], + ["Si2-", "Os2-", 0.1061776433], + ["Os2-", "Si2-", 0.1061776433], + ["Si2-", "Os3+", -0.0659885044], + ["Os3+", "Si2-", -0.0659885044], + ["Si2-", "Os4+", 0.0339765616], + ["Os4+", "Si2-", 0.0339765616], + ["Si2-", "Os8+", 0.0009056877], + ["Os8+", "Si2-", 0.0009056877], + ["Si2-", "Os2+", 0.0009393804], + ["Os2+", "Si2-", 0.0009393804], + ["Si2-", "Ir3+", 0.0205979383], + ["Ir3+", "Si2-", 0.0205979383], + ["Si2-", "Ir4+", 0.0044410217], + ["Ir4+", "Si2-", 0.0044410217], + ["Si2-", "Ir5+", -0.1217499706], + ["Ir5+", "Si2-", -0.1217499706], + ["Si2-", "Ir6+", -0.0418379596], + ["Ir6+", "Si2-", -0.0418379596], + ["Si2-", "Pt2+", 0.0249752174], + ["Pt2+", "Si2-", 0.0249752174], + ["Si2-", "Pt2-", -0.0211343914], + ["Pt2-", "Si2-", -0.0211343914], + ["Si2-", "Pt4+", -0.1337944921], + ["Pt4+", "Si2-", -0.1337944921], + ["Si2-", "Pt3+", -0.1190314951], + ["Pt3+", "Si2-", -0.1190314951], + ["Si2-", "Pt5+", -0.2161307945], + ["Pt5+", "Si2-", -0.2161307945], + ["Si2-", "Pt6+", -0.1708499414], + ["Pt6+", "Si2-", -0.1708499414], + ["Si2-", "Au2+", -0.0646822647], + ["Au2+", "Si2-", -0.0646822647], + ["Si2-", "Au3+", -0.2005995103], + ["Au3+", "Si2-", -0.2005995103], + ["Si2-", "Au5+", -0.1686998001], + ["Au5+", "Si2-", -0.1686998001], + ["Si2-", "Au4+", -0.0916365384], + ["Au4+", "Si2-", -0.0916365384], + ["Si2-", "Hg2+", -0.2849385802], + ["Hg2+", "Si2-", -0.2849385802], + ["Si2-", "Tl3+", -0.0679596938], + ["Tl3+", "Si2-", -0.0679596938], + ["Si2-", "Tl2+", -0.0693326049], + ["Tl2+", "Si2-", -0.0693326049], + ["Si2-", "Pb2+", 0.0426395861], + ["Pb2+", "Si2-", 0.0426395861], + ["Si2-", "Pb3+", -0.0727719062], + ["Pb3+", "Si2-", -0.0727719062], + ["Si2-", "Pb4+", -0.1527528216], + ["Pb4+", "Si2-", -0.1527528216], + ["Si2-", "Bi3+", -0.0384373497], + ["Bi3+", "Si2-", -0.0384373497], + ["Si2-", "Bi5+", -0.0899859017], + ["Bi5+", "Si2-", -0.0899859017], + ["Si2-", "Bi2+", -0.0687526301], + ["Bi2+", "Si2-", -0.0687526301], + ["Si2-", "Bi3-", 0.4482211194], + ["Bi3-", "Si2-", 0.4482211194], + ["Si2-", "Bi4+", 0.0137983146], + ["Bi4+", "Si2-", 0.0137983146], + ["Si2-", "Ac3+", 0.0330335058], + ["Ac3+", "Si2-", 0.0330335058], + ["Si2-", "Th4+", 0.2111991698], + ["Th4+", "Si2-", 0.2111991698], + ["Si2-", "Th3+", -0.0436250428], + ["Th3+", "Si2-", -0.0436250428], + ["Si2-", "Pa4+", -0.0437647938], + ["Pa4+", "Si2-", -0.0437647938], + ["Si2-", "Pa5+", -0.0444534132], + ["Pa5+", "Si2-", -0.0444534132], + ["Si2-", "Pa3+", 0.0498898254], + ["Pa3+", "Si2-", 0.0498898254], + ["Si2-", "U6+", -0.2040429595], + ["U6+", "Si2-", -0.2040429595], + ["Si2-", "U4+", -0.0006908342], + ["U4+", "Si2-", -0.0006908342], + ["Si2-", "U3+", -0.0291165814], + ["U3+", "Si2-", -0.0291165814], + ["Si2-", "U2+", -0.1569013653], + ["U2+", "Si2-", -0.1569013653], + ["Si2-", "U5+", 0.0739674305], + ["U5+", "Si2-", 0.0739674305], + ["Si2-", "Np6+", -0.0280372361], + ["Np6+", "Si2-", -0.0280372361], + ["Si2-", "Np4+", -0.0973269222], + ["Np4+", "Si2-", -0.0973269222], + ["Si2-", "Np3+", 0.0027007194], + ["Np3+", "Si2-", 0.0027007194], + ["Si2-", "Np7+", -0.0616390613], + ["Np7+", "Si2-", -0.0616390613], + ["Si2-", "Np5+", -0.0353182236], + ["Np5+", "Si2-", -0.0353182236], + ["Si2-", "Pu7+", -0.113026955], + ["Pu7+", "Si2-", -0.113026955], + ["Si2-", "Pu6+", -0.0781153413], + ["Pu6+", "Si2-", -0.0781153413], + ["Si2-", "Pu3+", 0.0004510599], + ["Pu3+", "Si2-", 0.0004510599], + ["Si2-", "Pu4+", -0.1886033638], + ["Pu4+", "Si2-", -0.1886033638], + ["Si2-", "Pu5+", -0.0010425549], + ["Pu5+", "Si2-", -0.0010425549], + ["Si2-", "H1+", -0.0748187784], + ["H1+", "Si2-", -0.0748187784], + ["Si2-", "H1-", 0.1996035233], + ["H1-", "Si2-", 0.1996035233], + ["Si2-", "Li1+", 0.0558722827], + ["Li1+", "Si2-", 0.0558722827], + ["Si2-", "B1+", 0.0006099375], + ["B1+", "Si2-", 0.0006099375], + ["Si2-", "B1-", 0.1998203675], + ["B1-", "Si2-", 0.1998203675], + ["Si2-", "C1-", 0.138284948], + ["C1-", "Si2-", 0.138284948], + ["Si2-", "C1+", -0.0951858032], + ["C1+", "Si2-", -0.0951858032], + ["Si2-", "N1-", -0.090608227], + ["N1-", "Si2-", -0.090608227], + ["Si2-", "N1+", -0.2854441314], + ["N1+", "Si2-", -0.2854441314], + ["Si2-", "O1-", 0.1936343404], + ["O1-", "Si2-", 0.1936343404], + ["Si2-", "F1-", 0.2222168059], + ["F1-", "Si2-", 0.2222168059], + ["Si2-", "Na1+", -0.0485040133], + ["Na1+", "Si2-", -0.0485040133], + ["Si2-", "Si1-", 0.7287960687], + ["Si1-", "Si2-", 0.7287960687], + ["Si2-", "P1+", -0.0441825109], + ["P1+", "Si2-", -0.0441825109], + ["Si2-", "P1-", 0.0995987886], + ["P1-", "Si2-", 0.0995987886], + ["Si2-", "S1-", 0.2309023567], + ["S1-", "Si2-", 0.2309023567], + ["Si2-", "S1+", 0.042070701], + ["S1+", "Si2-", 0.042070701], + ["Si2-", "Cl1-", 0.1674254022], + ["Cl1-", "Si2-", 0.1674254022], + ["Si2-", "K1+", 0.0380504021], + ["K1+", "Si2-", 0.0380504021], + ["Si2-", "Sc1+", 0.1445546858], + ["Sc1+", "Si2-", 0.1445546858], + ["Si2-", "Mn1+", 0.165391638], + ["Mn1+", "Si2-", 0.165391638], + ["Si2-", "Fe1+", 0.0301459689], + ["Fe1+", "Si2-", 0.0301459689], + ["Si2-", "Co1+", -0.0138205841], + ["Co1+", "Si2-", -0.0138205841], + ["Si2-", "Ni1+", 0.0426234451], + ["Ni1+", "Si2-", 0.0426234451], + ["Si2-", "Cu1+", 0.051588489], + ["Cu1+", "Si2-", 0.051588489], + ["Si2-", "Ga1+", 0.1276022381], + ["Ga1+", "Si2-", 0.1276022381], + ["Si2-", "As1-", 0.0351928395], + ["As1-", "Si2-", 0.0351928395], + ["Si2-", "As1+", -0.054208156], + ["As1+", "Si2-", -0.054208156], + ["Si2-", "Se1-", 0.2715864126], + ["Se1-", "Si2-", 0.2715864126], + ["Si2-", "Se1+", -0.0455792325], + ["Se1+", "Si2-", -0.0455792325], + ["Si2-", "Br1-", 0.2458990793], + ["Br1-", "Si2-", 0.2458990793], + ["Si2-", "Br1+", -0.1023891869], + ["Br1+", "Si2-", -0.1023891869], + ["Si2-", "Rb1+", 0.0641744589], + ["Rb1+", "Si2-", 0.0641744589], + ["Si2-", "Y1+", 0.0261905217], + ["Y1+", "Si2-", 0.0261905217], + ["Si2-", "Zr1+", 0.0120309752], + ["Zr1+", "Si2-", 0.0120309752], + ["Si2-", "Nb1+", 0.0765452984], + ["Nb1+", "Si2-", 0.0765452984], + ["Si2-", "Tc1-", 0.0031937813], + ["Tc1-", "Si2-", 0.0031937813], + ["Si2-", "Tc1+", 0.0348413416], + ["Tc1+", "Si2-", 0.0348413416], + ["Si2-", "Rh1+", 0.2439418027], + ["Rh1+", "Si2-", 0.2439418027], + ["Si2-", "Ag1+", -0.0536008022], + ["Ag1+", "Si2-", -0.0536008022], + ["Si2-", "In1+", 0.07998262], + ["In1+", "Si2-", 0.07998262], + ["Si2-", "Sb1-", 0.1877945007], + ["Sb1-", "Si2-", 0.1877945007], + ["Si2-", "Sb1+", -0.1243815536], + ["Sb1+", "Si2-", -0.1243815536], + ["Si2-", "Te1-", 0.144866097], + ["Te1-", "Si2-", 0.144866097], + ["Si2-", "Te1+", -0.0028950092], + ["Te1+", "Si2-", -0.0028950092], + ["Si2-", "I1-", 0.2157324502], + ["I1-", "Si2-", 0.2157324502], + ["Si2-", "I1+", -0.116618144], + ["I1+", "Si2-", -0.116618144], + ["Si2-", "Cs1+", 0.03571163], + ["Cs1+", "Si2-", 0.03571163], + ["Si2-", "La1+", 0.1900158029], + ["La1+", "Si2-", 0.1900158029], + ["Si2-", "Tb1+", 0.1081551309], + ["Tb1+", "Si2-", 0.1081551309], + ["Si2-", "Ta1+", -0.0468470719], + ["Ta1+", "Si2-", -0.0468470719], + ["Si2-", "Os1-", 0.1473579166], + ["Os1-", "Si2-", 0.1473579166], + ["Si2-", "Os1+", -0.0318903504], + ["Os1+", "Si2-", -0.0318903504], + ["Si2-", "Pt1-", 0.2906568785], + ["Pt1-", "Si2-", 0.2906568785], + ["Si2-", "Pt1+", -0.0808921646], + ["Pt1+", "Si2-", -0.0808921646], + ["Si2-", "Au1-", -0.0991363206], + ["Au1-", "Si2-", -0.0991363206], + ["Si2-", "Au1+", 0.063815668], + ["Au1+", "Si2-", 0.063815668], + ["Si2-", "Hg1+", 0.0708543683], + ["Hg1+", "Si2-", 0.0708543683], + ["Si2-", "Tl1+", 0.113993528], + ["Tl1+", "Si2-", 0.113993528], + ["Si2-", "Bi1+", -0.2088286283], + ["Bi1+", "Si2-", -0.2088286283], + ["Si4-", "Si4-", 1.0], + ["Si4-", "Si3+", -0.14319001], + ["Si3+", "Si4-", -0.14319001], + ["Si4-", "Si3-", 0.0960673805], + ["Si3-", "Si4-", 0.0960673805], + ["Si4-", "P5+", -0.1317664449], + ["P5+", "Si4-", -0.1317664449], + ["Si4-", "P2-", 0.1460765648], + ["P2-", "Si4-", 0.1460765648], + ["Si4-", "P3-", 0.2603813526], + ["P3-", "Si4-", 0.2603813526], + ["Si4-", "P4+", -0.1306026877], + ["P4+", "Si4-", -0.1306026877], + ["Si4-", "P3+", 0.0316594048], + ["P3+", "Si4-", 0.0316594048], + ["Si4-", "P2+", 0.0627590955], + ["P2+", "Si4-", 0.0627590955], + ["Si4-", "S2-", 0.3268356346], + ["S2-", "Si4-", 0.3268356346], + ["Si4-", "S6+", -0.1864414589], + ["S6+", "Si4-", -0.1864414589], + ["Si4-", "S2+", 0.0432617732], + ["S2+", "Si4-", 0.0432617732], + ["Si4-", "S3+", -0.0378938364], + ["S3+", "Si4-", -0.0378938364], + ["Si4-", "S4+", -0.1061057156], + ["S4+", "Si4-", -0.1061057156], + ["Si4-", "S5+", -0.158147263], + ["S5+", "Si4-", -0.158147263], + ["Si4-", "Cl7+", -0.0566821212], + ["Cl7+", "Si4-", -0.0566821212], + ["Si4-", "Cl5+", -0.127400388], + ["Cl5+", "Si4-", -0.127400388], + ["Si4-", "Cl3+", -0.1169461591], + ["Cl3+", "Si4-", -0.1169461591], + ["Si4-", "Ca2+", -0.2160644892], + ["Ca2+", "Si4-", -0.2160644892], + ["Si4-", "Sc3+", 0.0453270628], + ["Sc3+", "Si4-", 0.0453270628], + ["Si4-", "Sc2+", 0.1365317968], + ["Sc2+", "Si4-", 0.1365317968], + ["Si4-", "Ti3+", 0.0794568606], + ["Ti3+", "Si4-", 0.0794568606], + ["Si4-", "Ti4+", 0.137865274], + ["Ti4+", "Si4-", 0.137865274], + ["Si4-", "Ti2+", 0.186617924], + ["Ti2+", "Si4-", 0.186617924], + ["Si4-", "V4+", -0.0911701526], + ["V4+", "Si4-", -0.0911701526], + ["Si4-", "V3+", -0.0863027782], + ["V3+", "Si4-", -0.0863027782], + ["Si4-", "V2+", 0.0715831629], + ["V2+", "Si4-", 0.0715831629], + ["Si4-", "V5+", -0.2414204081], + ["V5+", "Si4-", -0.2414204081], + ["Si4-", "Cr3+", 0.1563460735], + ["Cr3+", "Si4-", 0.1563460735], + ["Si4-", "Cr2+", 0.1827521823], + ["Cr2+", "Si4-", 0.1827521823], + ["Si4-", "Cr6+", -0.0632259874], + ["Cr6+", "Si4-", -0.0632259874], + ["Si4-", "Cr4+", 0.1203832527], + ["Cr4+", "Si4-", 0.1203832527], + ["Si4-", "Cr5+", 0.0534956482], + ["Cr5+", "Si4-", 0.0534956482], + ["Si4-", "Mn2+", 0.1047726596], + ["Mn2+", "Si4-", 0.1047726596], + ["Si4-", "Mn3+", -0.0431992017], + ["Mn3+", "Si4-", -0.0431992017], + ["Si4-", "Mn4+", -0.0158911125], + ["Mn4+", "Si4-", -0.0158911125], + ["Si4-", "Mn7+", -0.0089782926], + ["Mn7+", "Si4-", -0.0089782926], + ["Si4-", "Mn6+", 0.0653190312], + ["Mn6+", "Si4-", 0.0653190312], + ["Si4-", "Mn5+", -0.0133410799], + ["Mn5+", "Si4-", -0.0133410799], + ["Si4-", "Fe2+", 0.0144596772], + ["Fe2+", "Si4-", 0.0144596772], + ["Si4-", "Fe3+", 0.0573123508], + ["Fe3+", "Si4-", 0.0573123508], + ["Si4-", "Fe4+", 0.1549609972], + ["Fe4+", "Si4-", 0.1549609972], + ["Si4-", "Fe6+", 0.0157179394], + ["Fe6+", "Si4-", 0.0157179394], + ["Si4-", "Fe5+", 0.2589565536], + ["Fe5+", "Si4-", 0.2589565536], + ["Si4-", "Co2+", 0.1889388758], + ["Co2+", "Si4-", 0.1889388758], + ["Si4-", "Co4+", 0.0714531376], + ["Co4+", "Si4-", 0.0714531376], + ["Si4-", "Co3+", 0.0384837188], + ["Co3+", "Si4-", 0.0384837188], + ["Si4-", "Ni2+", 0.0586232985], + ["Ni2+", "Si4-", 0.0586232985], + ["Si4-", "Ni4+", 0.0452092246], + ["Ni4+", "Si4-", 0.0452092246], + ["Si4-", "Ni3+", -0.14743854], + ["Ni3+", "Si4-", -0.14743854], + ["Si4-", "Cu2+", -0.1207100774], + ["Cu2+", "Si4-", -0.1207100774], + ["Si4-", "Cu3+", -0.2062231645], + ["Cu3+", "Si4-", -0.2062231645], + ["Si4-", "Zn2+", -0.1123632951], + ["Zn2+", "Si4-", -0.1123632951], + ["Si4-", "Ga3+", -0.1587638343], + ["Ga3+", "Si4-", -0.1587638343], + ["Si4-", "Ga4+", 0.0093831645], + ["Ga4+", "Si4-", 0.0093831645], + ["Si4-", "Ga2+", 0.2143382249], + ["Ga2+", "Si4-", 0.2143382249], + ["Si4-", "Ge4-", 0.5052533679], + ["Ge4-", "Si4-", 0.5052533679], + ["Si4-", "Ge4+", -0.0422661346], + ["Ge4+", "Si4-", -0.0422661346], + ["Si4-", "Ge2-", 0.3717254107], + ["Ge2-", "Si4-", 0.3717254107], + ["Si4-", "Ge2+", 0.2821650486], + ["Ge2+", "Si4-", 0.2821650486], + ["Si4-", "Ge3+", -0.06129086], + ["Ge3+", "Si4-", -0.06129086], + ["Si4-", "As2-", 0.0926310969], + ["As2-", "Si4-", 0.0926310969], + ["Si4-", "As3+", -0.0993698123], + ["As3+", "Si4-", -0.0993698123], + ["Si4-", "As5+", -0.3021466146], + ["As5+", "Si4-", -0.3021466146], + ["Si4-", "As3-", 0.1755646504], + ["As3-", "Si4-", 0.1755646504], + ["Si4-", "As2+", -0.0622444869], + ["As2+", "Si4-", -0.0622444869], + ["Si4-", "As4+", -0.1075908109], + ["As4+", "Si4-", -0.1075908109], + ["Si4-", "Se2-", 0.303484585], + ["Se2-", "Si4-", 0.303484585], + ["Si4-", "Se4+", -0.2050942045], + ["Se4+", "Si4-", -0.2050942045], + ["Si4-", "Se6+", -0.1219706079], + ["Se6+", "Si4-", -0.1219706079], + ["Si4-", "Se5+", -0.1649868395], + ["Se5+", "Si4-", -0.1649868395], + ["Si4-", "Se2+", -0.0904053096], + ["Se2+", "Si4-", -0.0904053096], + ["Si4-", "Se3+", -0.0068050534], + ["Se3+", "Si4-", -0.0068050534], + ["Si4-", "Br2+", -0.0483504972], + ["Br2+", "Si4-", -0.0483504972], + ["Si4-", "Br5+", -0.160175396], + ["Br5+", "Si4-", -0.160175396], + ["Si4-", "Br3+", -0.1113843706], + ["Br3+", "Si4-", -0.1113843706], + ["Si4-", "Sr2+", -0.1071121799], + ["Sr2+", "Si4-", -0.1071121799], + ["Si4-", "Y3+", 0.0517483626], + ["Y3+", "Si4-", 0.0517483626], + ["Si4-", "Y2+", -0.0819931521], + ["Y2+", "Si4-", -0.0819931521], + ["Si4-", "Zr2+", 0.2094417082], + ["Zr2+", "Si4-", 0.2094417082], + ["Si4-", "Zr4+", 0.1191004363], + ["Zr4+", "Si4-", 0.1191004363], + ["Si4-", "Zr3+", 0.1615560593], + ["Zr3+", "Si4-", 0.1615560593], + ["Si4-", "Nb5+", 0.0971434631], + ["Nb5+", "Si4-", 0.0971434631], + ["Si4-", "Nb3+", 0.1723616358], + ["Nb3+", "Si4-", 0.1723616358], + ["Si4-", "Nb4+", 0.0555079687], + ["Nb4+", "Si4-", 0.0555079687], + ["Si4-", "Nb2+", 0.2610828412], + ["Nb2+", "Si4-", 0.2610828412], + ["Si4-", "Nb7+", -0.062446291], + ["Nb7+", "Si4-", -0.062446291], + ["Si4-", "Mo3+", -0.0863589218], + ["Mo3+", "Si4-", -0.0863589218], + ["Si4-", "Mo4+", 0.1469333004], + ["Mo4+", "Si4-", 0.1469333004], + ["Si4-", "Mo6+", -0.222385204], + ["Mo6+", "Si4-", -0.222385204], + ["Si4-", "Mo5+", -0.3512355702], + ["Mo5+", "Si4-", -0.3512355702], + ["Si4-", "Mo2+", 0.1023401505], + ["Mo2+", "Si4-", 0.1023401505], + ["Si4-", "Tc4+", -0.0060057432], + ["Tc4+", "Si4-", -0.0060057432], + ["Si4-", "Tc3-", 0.2804074012], + ["Tc3-", "Si4-", 0.2804074012], + ["Si4-", "Tc3+", -0.0627062456], + ["Tc3+", "Si4-", -0.0627062456], + ["Si4-", "Tc7+", -0.1327183024], + ["Tc7+", "Si4-", -0.1327183024], + ["Si4-", "Tc5+", -0.0869311841], + ["Tc5+", "Si4-", -0.0869311841], + ["Si4-", "Tc6+", -0.0115258959], + ["Tc6+", "Si4-", -0.0115258959], + ["Si4-", "Tc2-", 0.2567105284], + ["Tc2-", "Si4-", 0.2567105284], + ["Si4-", "Tc2+", 0.0675051085], + ["Tc2+", "Si4-", 0.0675051085], + ["Si4-", "Ru2+", 0.1743056389], + ["Ru2+", "Si4-", 0.1743056389], + ["Si4-", "Ru6+", -0.0506374199], + ["Ru6+", "Si4-", -0.0506374199], + ["Si4-", "Ru4+", -0.0454408556], + ["Ru4+", "Si4-", -0.0454408556], + ["Si4-", "Ru5+", 0.0121968815], + ["Ru5+", "Si4-", 0.0121968815], + ["Si4-", "Ru3+", 0.0394690751], + ["Ru3+", "Si4-", 0.0394690751], + ["Si4-", "Rh4+", 0.0914162995], + ["Rh4+", "Si4-", 0.0914162995], + ["Si4-", "Rh3+", 0.1205246023], + ["Rh3+", "Si4-", 0.1205246023], + ["Si4-", "Pd2+", 0.2571139193], + ["Pd2+", "Si4-", 0.2571139193], + ["Si4-", "Pd4+", 0.175773414], + ["Pd4+", "Si4-", 0.175773414], + ["Si4-", "Pd3+", 0.2513464071], + ["Pd3+", "Si4-", 0.2513464071], + ["Si4-", "Ag3+", 0.0149092059], + ["Ag3+", "Si4-", 0.0149092059], + ["Si4-", "Ag2+", -0.0132387997], + ["Ag2+", "Si4-", -0.0132387997], + ["Si4-", "Cd2+", -0.1586842246], + ["Cd2+", "Si4-", -0.1586842246], + ["Si4-", "In3+", -0.1231523309], + ["In3+", "Si4-", -0.1231523309], + ["Si4-", "In2+", 0.0649784873], + ["In2+", "Si4-", 0.0649784873], + ["Si4-", "Sn4+", -0.3038620656], + ["Sn4+", "Si4-", -0.3038620656], + ["Si4-", "Sn3+", -0.260854295], + ["Sn3+", "Si4-", -0.260854295], + ["Si4-", "Sn2+", -0.107966182], + ["Sn2+", "Si4-", -0.107966182], + ["Si4-", "Sb5+", -0.2067546211], + ["Sb5+", "Si4-", -0.2067546211], + ["Si4-", "Sb2-", 0.118793266], + ["Sb2-", "Si4-", 0.118793266], + ["Si4-", "Sb3-", 0.2849422204], + ["Sb3-", "Si4-", 0.2849422204], + ["Si4-", "Sb3+", -0.1791473994], + ["Sb3+", "Si4-", -0.1791473994], + ["Si4-", "Sb4+", -0.1555646648], + ["Sb4+", "Si4-", -0.1555646648], + ["Si4-", "Te2-", 0.3997158968], + ["Te2-", "Si4-", 0.3997158968], + ["Si4-", "Te4+", -0.2919827655], + ["Te4+", "Si4-", -0.2919827655], + ["Si4-", "Te6+", -0.1681231126], + ["Te6+", "Si4-", -0.1681231126], + ["Si4-", "Te2+", -0.1710409824], + ["Te2+", "Si4-", -0.1710409824], + ["Si4-", "Te5+", -0.0700258217], + ["Te5+", "Si4-", -0.0700258217], + ["Si4-", "I3+", -0.1963476729], + ["I3+", "Si4-", -0.1963476729], + ["Si4-", "I7+", -0.084738396], + ["I7+", "Si4-", -0.084738396], + ["Si4-", "I5+", -0.1480522017], + ["I5+", "Si4-", -0.1480522017], + ["Si4-", "I2+", 0.1033779643], + ["I2+", "Si4-", 0.1033779643], + ["Si4-", "Ba2+", -0.075959032], + ["Ba2+", "Si4-", -0.075959032], + ["Si4-", "La3+", -0.1007288929], + ["La3+", "Si4-", -0.1007288929], + ["Si4-", "La2+", 0.0907349045], + ["La2+", "Si4-", 0.0907349045], + ["Si4-", "Ce3+", 0.1320346945], + ["Ce3+", "Si4-", 0.1320346945], + ["Si4-", "Ce2+", 0.167553795], + ["Ce2+", "Si4-", 0.167553795], + ["Si4-", "Ce4+", 0.0410346179], + ["Ce4+", "Si4-", 0.0410346179], + ["Si4-", "Pr3+", -0.0508140173], + ["Pr3+", "Si4-", -0.0508140173], + ["Si4-", "Pr4+", 0.0959392555], + ["Pr4+", "Si4-", 0.0959392555], + ["Si4-", "Pr2+", 0.01611297], + ["Pr2+", "Si4-", 0.01611297], + ["Si4-", "Nd3+", -0.0692521577], + ["Nd3+", "Si4-", -0.0692521577], + ["Si4-", "Nd2+", 0.1251644795], + ["Nd2+", "Si4-", 0.1251644795], + ["Si4-", "Pm3+", 0.0374948979], + ["Pm3+", "Si4-", 0.0374948979], + ["Si4-", "Sm3+", -0.0438726045], + ["Sm3+", "Si4-", -0.0438726045], + ["Si4-", "Sm2+", 0.220469659], + ["Sm2+", "Si4-", 0.220469659], + ["Si4-", "Eu2+", 0.0529317346], + ["Eu2+", "Si4-", 0.0529317346], + ["Si4-", "Eu3+", -0.0209203604], + ["Eu3+", "Si4-", -0.0209203604], + ["Si4-", "Gd2+", -0.0422537577], + ["Gd2+", "Si4-", -0.0422537577], + ["Si4-", "Gd3+", -0.0639031163], + ["Gd3+", "Si4-", -0.0639031163], + ["Si4-", "Tb3+", -0.0077714231], + ["Tb3+", "Si4-", -0.0077714231], + ["Si4-", "Tb2+", 0.1753830995], + ["Tb2+", "Si4-", 0.1753830995], + ["Si4-", "Tb4+", 0.1184602062], + ["Tb4+", "Si4-", 0.1184602062], + ["Si4-", "Dy3+", -0.0389250621], + ["Dy3+", "Si4-", -0.0389250621], + ["Si4-", "Dy2+", 0.1633503861], + ["Dy2+", "Si4-", 0.1633503861], + ["Si4-", "Ho3+", -0.0493646897], + ["Ho3+", "Si4-", -0.0493646897], + ["Si4-", "Ho2+", 0.1543112552], + ["Ho2+", "Si4-", 0.1543112552], + ["Si4-", "Er3+", 0.1120435976], + ["Er3+", "Si4-", 0.1120435976], + 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0.1705919435], + ["Ga1+", "Si4-", 0.1705919435], + ["Si4-", "As1-", 0.1926043502], + ["As1-", "Si4-", 0.1926043502], + ["Si4-", "As1+", 0.0375186562], + ["As1+", "Si4-", 0.0375186562], + ["Si4-", "Se1-", 0.1081561177], + ["Se1-", "Si4-", 0.1081561177], + ["Si4-", "Se1+", 0.0344126284], + ["Se1+", "Si4-", 0.0344126284], + ["Si4-", "Br1-", 0.2559350831], + ["Br1-", "Si4-", 0.2559350831], + ["Si4-", "Br1+", -0.1353587729], + ["Br1+", "Si4-", -0.1353587729], + ["Si4-", "Rb1+", -0.1655176434], + ["Rb1+", "Si4-", -0.1655176434], + ["Si4-", "Y1+", 0.0649515976], + ["Y1+", "Si4-", 0.0649515976], + ["Si4-", "Zr1+", 0.1138003561], + ["Zr1+", "Si4-", 0.1138003561], + ["Si4-", "Nb1+", 0.1958352835], + ["Nb1+", "Si4-", 0.1958352835], + ["Si4-", "Tc1-", 0.1863313083], + ["Tc1-", "Si4-", 0.1863313083], + ["Si4-", "Tc1+", -0.0026111827], + ["Tc1+", "Si4-", -0.0026111827], + ["Si4-", "Rh1+", 0.2581468547], + ["Rh1+", "Si4-", 0.2581468547], + ["Si4-", "Ag1+", 0.0990012269], + ["Ag1+", "Si4-", 0.0990012269], + ["Si4-", "In1+", 0.0206674929], + ["In1+", "Si4-", 0.0206674929], + ["Si4-", "Sb1-", 0.2495769424], + ["Sb1-", "Si4-", 0.2495769424], + ["Si4-", "Sb1+", -0.0030332854], + ["Sb1+", "Si4-", -0.0030332854], + ["Si4-", "Te1-", 0.1812305218], + ["Te1-", "Si4-", 0.1812305218], + ["Si4-", "Te1+", -0.0291854106], + ["Te1+", "Si4-", -0.0291854106], + ["Si4-", "I1-", 0.1494879222], + ["I1-", "Si4-", 0.1494879222], + ["Si4-", "I1+", -0.1065660593], + ["I1+", "Si4-", -0.1065660593], + ["Si4-", "Cs1+", -0.2509561912], + ["Cs1+", "Si4-", -0.2509561912], + ["Si4-", "La1+", 0.1310143412], + ["La1+", "Si4-", 0.1310143412], + ["Si4-", "Tb1+", 0.1445011457], + ["Tb1+", "Si4-", 0.1445011457], + ["Si4-", "Ta1+", 0.1673881362], + ["Ta1+", "Si4-", 0.1673881362], + ["Si4-", "Os1-", 0.1562919586], + ["Os1-", "Si4-", 0.1562919586], + ["Si4-", "Os1+", 0.1974181712], + ["Os1+", "Si4-", 0.1974181712], + ["Si4-", "Pt1-", 0.2863333159], + ["Pt1-", "Si4-", 0.2863333159], + ["Si4-", "Pt1+", 0.0609869101], + ["Pt1+", "Si4-", 0.0609869101], + ["Si4-", "Au1-", -0.0856966905], + ["Au1-", "Si4-", -0.0856966905], + ["Si4-", "Au1+", 0.1096523706], + ["Au1+", "Si4-", 0.1096523706], + ["Si4-", "Hg1+", 0.0434876587], + ["Hg1+", "Si4-", 0.0434876587], + ["Si4-", "Tl1+", -0.0172694812], + ["Tl1+", "Si4-", -0.0172694812], + ["Si4-", "Bi1+", -0.0813551937], + ["Bi1+", "Si4-", -0.0813551937], + ["Si3+", "Si3+", 1.0], + ["Si3+", "Si3-", -0.0511349349], + ["Si3-", "Si3+", -0.0511349349], + ["Si3+", "P5+", 0.1284772678], + ["P5+", "Si3+", 0.1284772678], + ["Si3+", "P2-", 0.0556644152], + ["P2-", "Si3+", 0.0556644152], + ["Si3+", "P3-", 0.0963082986], + ["P3-", "Si3+", 0.0963082986], + ["Si3+", "P4+", 0.2217204428], + ["P4+", "Si3+", 0.2217204428], + ["Si3+", "P3+", 0.1333287443], + ["P3+", "Si3+", 0.1333287443], + ["Si3+", "P2+", 0.0632093915], + ["P2+", "Si3+", 0.0632093915], + ["Si3+", "S2-", -0.2026710903], + ["S2-", "Si3+", -0.2026710903], + ["Si3+", "S6+", 0.120966126], + ["S6+", 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0.1594725484], + ["Si3+", "Au4+", -0.1059716978], + ["Au4+", "Si3+", -0.1059716978], + ["Si3+", "Hg2+", 0.2083607439], + ["Hg2+", "Si3+", 0.2083607439], + ["Si3+", "Tl3+", 0.3104979274], + ["Tl3+", "Si3+", 0.3104979274], + ["Si3+", "Tl2+", 0.1691330513], + ["Tl2+", "Si3+", 0.1691330513], + ["Si3+", "Pb2+", 0.1091110935], + ["Pb2+", "Si3+", 0.1091110935], + ["Si3+", "Pb3+", 0.1383805839], + ["Pb3+", "Si3+", 0.1383805839], + ["Si3+", "Pb4+", 0.2536207338], + ["Pb4+", "Si3+", 0.2536207338], + ["Si3+", "Bi3+", 0.3959161705], + ["Bi3+", "Si3+", 0.3959161705], + ["Si3+", "Bi5+", 0.2300862574], + ["Bi5+", "Si3+", 0.2300862574], + ["Si3+", "Bi2+", 0.1879122966], + ["Bi2+", "Si3+", 0.1879122966], + ["Si3+", "Bi3-", -0.0518125713], + ["Bi3-", "Si3+", -0.0518125713], + ["Si3+", "Bi4+", 0.0900639669], + ["Bi4+", "Si3+", 0.0900639669], + ["Si3+", "Ac3+", 0.0439998855], + ["Ac3+", "Si3+", 0.0439998855], + ["Si3+", "Th4+", 0.1609598845], + ["Th4+", "Si3+", 0.1609598845], + ["Si3+", "Th3+", 0.0968091516], + ["Th3+", "Si3+", 0.0968091516], + ["Si3+", "Pa4+", 0.3259332395], + ["Pa4+", "Si3+", 0.3259332395], + ["Si3+", "Pa5+", 0.1563421333], + ["Pa5+", "Si3+", 0.1563421333], + ["Si3+", "Pa3+", 0.2644949748], + ["Pa3+", "Si3+", 0.2644949748], + ["Si3+", "U6+", 0.2111921432], + ["U6+", "Si3+", 0.2111921432], + ["Si3+", "U4+", 0.0951822747], + ["U4+", "Si3+", 0.0951822747], + ["Si3+", "U3+", 0.0977327241], + ["U3+", "Si3+", 0.0977327241], + ["Si3+", "U2+", 0.1805503976], + ["U2+", "Si3+", 0.1805503976], + ["Si3+", "U5+", 0.3459670172], + ["U5+", "Si3+", 0.3459670172], + ["Si3+", "Np6+", 0.099211195], + ["Np6+", "Si3+", 0.099211195], + ["Si3+", "Np4+", 0.1156032685], + ["Np4+", "Si3+", 0.1156032685], + ["Si3+", "Np3+", 0.2342446366], + ["Np3+", "Si3+", 0.2342446366], + ["Si3+", "Np7+", 0.3365592203], + ["Np7+", "Si3+", 0.3365592203], + ["Si3+", "Np5+", 0.3437267566], + ["Np5+", "Si3+", 0.3437267566], + ["Si3+", "Pu7+", 0.2484690069], + ["Pu7+", "Si3+", 0.2484690069], + ["Si3+", "Pu6+", 0.3163220711], + ["Pu6+", "Si3+", 0.3163220711], + ["Si3+", "Pu3+", 0.2074674365], + ["Pu3+", "Si3+", 0.2074674365], + ["Si3+", "Pu4+", 0.1712635774], + ["Pu4+", "Si3+", 0.1712635774], + ["Si3+", "Pu5+", 0.2768243091], + ["Pu5+", "Si3+", 0.2768243091], + ["Si3+", "H1+", 0.0220001267], + ["H1+", "Si3+", 0.0220001267], + ["Si3+", "H1-", 0.0461479161], + ["H1-", "Si3+", 0.0461479161], + ["Si3+", "Li1+", 0.0645098589], + ["Li1+", "Si3+", 0.0645098589], + ["Si3+", "B1+", 0.2111761304], + ["B1+", "Si3+", 0.2111761304], + ["Si3+", "B1-", 0.0684068509], + ["B1-", "Si3+", 0.0684068509], + ["Si3+", "C1-", 0.0121236206], + ["C1-", "Si3+", 0.0121236206], + ["Si3+", "C1+", -0.1215573735], + ["C1+", "Si3+", -0.1215573735], + ["Si3+", "N1-", -0.0508446119], + ["N1-", "Si3+", -0.0508446119], + ["Si3+", "N1+", 0.0165598941], + ["N1+", "Si3+", 0.0165598941], + ["Si3+", "O1-", -0.0321017563], + ["O1-", "Si3+", -0.0321017563], + ["Si3+", "F1-", -0.1078970674], + ["F1-", "Si3+", -0.1078970674], + ["Si3+", "Na1+", 0.4433333532], + ["Na1+", "Si3+", 0.4433333532], + ["Si3+", "Si1-", -0.0648107338], + ["Si1-", "Si3+", -0.0648107338], + ["Si3+", "P1+", -0.088196169], + ["P1+", "Si3+", -0.088196169], + ["Si3+", "P1-", 0.0180341952], + ["P1-", "Si3+", 0.0180341952], + ["Si3+", "S1-", -0.1646837878], + ["S1-", "Si3+", -0.1646837878], + ["Si3+", "S1+", -0.0058888972], + ["S1+", "Si3+", -0.0058888972], + ["Si3+", "Cl1-", 0.0417224527], + ["Cl1-", "Si3+", 0.0417224527], + ["Si3+", "K1+", 0.2282319978], + ["K1+", "Si3+", 0.2282319978], + ["Si3+", "Sc1+", 0.2001556555], + ["Sc1+", "Si3+", 0.2001556555], + ["Si3+", "Mn1+", 0.1724147095], + ["Mn1+", "Si3+", 0.1724147095], + ["Si3+", "Fe1+", 0.1561505627], + ["Fe1+", "Si3+", 0.1561505627], + ["Si3+", "Co1+", 0.2290006353], + ["Co1+", "Si3+", 0.2290006353], + ["Si3+", "Ni1+", 0.2456109272], + ["Ni1+", "Si3+", 0.2456109272], + ["Si3+", "Cu1+", 0.2827918406], + ["Cu1+", "Si3+", 0.2827918406], + ["Si3+", "Ga1+", -0.0098287968], + ["Ga1+", "Si3+", -0.0098287968], + ["Si3+", "As1-", 0.1077340956], + ["As1-", "Si3+", 0.1077340956], + ["Si3+", "As1+", 0.2539480221], + ["As1+", "Si3+", 0.2539480221], + ["Si3+", "Se1-", -0.0097493568], + ["Se1-", "Si3+", -0.0097493568], + ["Si3+", "Se1+", 0.1153034857], + ["Se1+", "Si3+", 0.1153034857], + ["Si3+", "Br1-", -0.0312372462], + ["Br1-", "Si3+", -0.0312372462], + ["Si3+", "Br1+", -0.1041629347], + ["Br1+", "Si3+", -0.1041629347], + ["Si3+", "Rb1+", 0.146180144], + ["Rb1+", "Si3+", 0.146180144], + ["Si3+", "Y1+", 0.151113293], + ["Y1+", "Si3+", 0.151113293], + ["Si3+", "Zr1+", 0.1056040222], + ["Zr1+", "Si3+", 0.1056040222], + ["Si3+", "Nb1+", 0.2128883775], + ["Nb1+", "Si3+", 0.2128883775], + ["Si3+", "Tc1-", 0.1097557499], + ["Tc1-", "Si3+", 0.1097557499], + ["Si3+", "Tc1+", 0.0530695733], + ["Tc1+", "Si3+", 0.0530695733], + ["Si3+", "Rh1+", 0.1752704239], + ["Rh1+", "Si3+", 0.1752704239], + ["Si3+", "Ag1+", 0.276489751], + ["Ag1+", "Si3+", 0.276489751], + ["Si3+", "In1+", 0.1162017307], + ["In1+", "Si3+", 0.1162017307], + ["Si3+", "Sb1-", -0.1541221124], + ["Sb1-", "Si3+", -0.1541221124], + ["Si3+", "Sb1+", 0.0004291724], + ["Sb1+", "Si3+", 0.0004291724], + ["Si3+", "Te1-", 0.0816159419], + ["Te1-", "Si3+", 0.0816159419], + ["Si3+", "Te1+", 0.0590810421], + ["Te1+", "Si3+", 0.0590810421], + ["Si3+", "I1-", 0.1551944647], + ["I1-", "Si3+", 0.1551944647], + ["Si3+", "I1+", -0.149006776], + ["I1+", "Si3+", -0.149006776], + ["Si3+", "Cs1+", 0.2407267326], + ["Cs1+", "Si3+", 0.2407267326], + ["Si3+", "La1+", 0.147053059], + ["La1+", "Si3+", 0.147053059], + ["Si3+", "Tb1+", 0.0279693448], + ["Tb1+", "Si3+", 0.0279693448], + ["Si3+", "Ta1+", 0.2344725074], + ["Ta1+", "Si3+", 0.2344725074], + ["Si3+", "Os1-", 0.1014072389], + ["Os1-", "Si3+", 0.1014072389], + ["Si3+", "Os1+", -0.1287063388], + ["Os1+", "Si3+", -0.1287063388], + ["Si3+", "Pt1-", 0.0401949416], + ["Pt1-", "Si3+", 0.0401949416], + ["Si3+", "Pt1+", 0.2285014023], + ["Pt1+", "Si3+", 0.2285014023], + ["Si3+", "Au1-", -0.2546670848], + ["Au1-", "Si3+", -0.2546670848], + ["Si3+", "Au1+", -0.0722573637], + ["Au1+", "Si3+", -0.0722573637], + ["Si3+", "Hg1+", 0.1082561039], + ["Hg1+", "Si3+", 0.1082561039], + ["Si3+", "Tl1+", 0.1397922606], + ["Tl1+", "Si3+", 0.1397922606], + ["Si3+", "Bi1+", 0.3818612721], + ["Bi1+", "Si3+", 0.3818612721], + ["Si3-", "Si3-", 1.0], + ["Si3-", "P5+", 0.0825723043], + ["P5+", "Si3-", 0.0825723043], + ["Si3-", "P2-", 0.3081969209], + ["P2-", "Si3-", 0.3081969209], + ["Si3-", "P3-", 0.0516782837], + ["P3-", "Si3-", 0.0516782837], + ["Si3-", "P4+", 0.0058401415], + ["P4+", "Si3-", 0.0058401415], + ["Si3-", "P3+", -0.0951176356], + ["P3+", "Si3-", -0.0951176356], + ["Si3-", "P2+", -0.0129429502], + ["P2+", "Si3-", -0.0129429502], + ["Si3-", "S2-", 0.3963872553], + ["S2-", "Si3-", 0.3963872553], + ["Si3-", "S6+", -0.0001383576], + ["S6+", "Si3-", -0.0001383576], + ["Si3-", "S2+", 0.2089323961], + ["S2+", "Si3-", 0.2089323961], + ["Si3-", "S3+", 0.0739079528], + ["S3+", "Si3-", 0.0739079528], + ["Si3-", "S4+", 0.1267150323], + ["S4+", "Si3-", 0.1267150323], + ["Si3-", "S5+", -0.018527448], + ["S5+", "Si3-", -0.018527448], + ["Si3-", "Cl7+", 0.0537727836], + ["Cl7+", "Si3-", 0.0537727836], + ["Si3-", "Cl5+", -0.0344575702], + ["Cl5+", "Si3-", -0.0344575702], + ["Si3-", "Cl3+", -0.105959317], + ["Cl3+", "Si3-", -0.105959317], + ["Si3-", "Ca2+", 0.040516361], + ["Ca2+", "Si3-", 0.040516361], + ["Si3-", "Sc3+", 0.0381658207], + ["Sc3+", "Si3-", 0.0381658207], + ["Si3-", "Sc2+", 0.1429802331], + ["Sc2+", "Si3-", 0.1429802331], + ["Si3-", "Ti3+", -0.0035381889], + ["Ti3+", "Si3-", -0.0035381889], + ["Si3-", "Ti4+", -0.017148775], + ["Ti4+", "Si3-", -0.017148775], + ["Si3-", "Ti2+", 0.0614406985], + ["Ti2+", "Si3-", 0.0614406985], + ["Si3-", "V4+", -0.1014940988], + ["V4+", "Si3-", -0.1014940988], + ["Si3-", "V3+", -0.1525265891], + ["V3+", "Si3-", -0.1525265891], + ["Si3-", "V2+", -0.1378732028], + ["V2+", "Si3-", -0.1378732028], + ["Si3-", "V5+", -0.0241753778], + ["V5+", "Si3-", -0.0241753778], + ["Si3-", "Cr3+", -0.0170859256], + ["Cr3+", "Si3-", -0.0170859256], + ["Si3-", "Cr2+", 0.028710124], + ["Cr2+", "Si3-", 0.028710124], + ["Si3-", "Cr6+", 0.0839211045], + ["Cr6+", "Si3-", 0.0839211045], + ["Si3-", "Cr4+", -0.0637377365], + ["Cr4+", "Si3-", -0.0637377365], + ["Si3-", "Cr5+", 0.0464042114], + ["Cr5+", "Si3-", 0.0464042114], + ["Si3-", "Mn2+", 0.0637174398], + ["Mn2+", "Si3-", 0.0637174398], + ["Si3-", "Mn3+", -0.1444287955], + ["Mn3+", "Si3-", -0.1444287955], + ["Si3-", "Mn4+", -0.1196323731], + ["Mn4+", "Si3-", -0.1196323731], + ["Si3-", "Mn7+", 0.085779149], + ["Mn7+", "Si3-", 0.085779149], + ["Si3-", "Mn6+", 0.0544329895], + ["Mn6+", "Si3-", 0.0544329895], + ["Si3-", "Mn5+", 0.0264272848], + ["Mn5+", "Si3-", 0.0264272848], + ["Si3-", "Fe2+", -0.0017776835], + ["Fe2+", "Si3-", -0.0017776835], + ["Si3-", "Fe3+", 0.0986743853], + ["Fe3+", "Si3-", 0.0986743853], + ["Si3-", "Fe4+", -0.1634819389], + ["Fe4+", "Si3-", -0.1634819389], + ["Si3-", "Fe6+", 0.107576693], + ["Fe6+", "Si3-", 0.107576693], + ["Si3-", "Fe5+", 0.0195375076], + ["Fe5+", "Si3-", 0.0195375076], + ["Si3-", "Co2+", -0.111506473], + ["Co2+", "Si3-", -0.111506473], + ["Si3-", "Co4+", 0.0247831442], + ["Co4+", "Si3-", 0.0247831442], + ["Si3-", "Co3+", 0.1305823607], + ["Co3+", "Si3-", 0.1305823607], + ["Si3-", "Ni2+", -0.020752307], + ["Ni2+", "Si3-", -0.020752307], + ["Si3-", "Ni4+", -0.1330272754], + ["Ni4+", "Si3-", -0.1330272754], + ["Si3-", "Ni3+", -0.1666888547], + ["Ni3+", "Si3-", -0.1666888547], + ["Si3-", "Cu2+", -0.2102161785], + ["Cu2+", "Si3-", -0.2102161785], + ["Si3-", "Cu3+", -0.0844110599], + ["Cu3+", "Si3-", -0.0844110599], + ["Si3-", "Zn2+", 0.0081845773], + ["Zn2+", "Si3-", 0.0081845773], + ["Si3-", "Ga3+", 0.067826137], + ["Ga3+", "Si3-", 0.067826137], + ["Si3-", "Ga4+", -0.0249537838], + ["Ga4+", "Si3-", -0.0249537838], + ["Si3-", "Ga2+", 0.0723619545], + ["Ga2+", "Si3-", 0.0723619545], + ["Si3-", "Ge4-", 0.2788807116], + ["Ge4-", "Si3-", 0.2788807116], + ["Si3-", "Ge4+", 0.0869445362], + ["Ge4+", "Si3-", 0.0869445362], + ["Si3-", "Ge2-", 0.3291374315], + ["Ge2-", "Si3-", 0.3291374315], + ["Si3-", "Ge2+", -0.0489105795], + ["Ge2+", "Si3-", -0.0489105795], + ["Si3-", "Ge3+", 0.0770540528], + ["Ge3+", "Si3-", 0.0770540528], + ["Si3-", "As2-", 0.3524664013], + ["As2-", "Si3-", 0.3524664013], + ["Si3-", "As3+", 0.0426297259], + ["As3+", "Si3-", 0.0426297259], + ["Si3-", "As5+", -0.1373133842], + ["As5+", "Si3-", -0.1373133842], + ["Si3-", "As3-", 0.0970022363], + ["As3-", "Si3-", 0.0970022363], + ["Si3-", "As2+", -0.0034121825], + ["As2+", "Si3-", -0.0034121825], + ["Si3-", "As4+", 0.0395407334], + ["As4+", "Si3-", 0.0395407334], + ["Si3-", "Se2-", 0.3454437255], + ["Se2-", "Si3-", 0.3454437255], + ["Si3-", "Se4+", -0.038092073], + ["Se4+", "Si3-", -0.038092073], + ["Si3-", "Se6+", 0.0799463349], + ["Se6+", "Si3-", 0.0799463349], + ["Si3-", "Se5+", 0.1815508065], + ["Se5+", "Si3-", 0.1815508065], + ["Si3-", "Se2+", 0.1732887212], + ["Se2+", "Si3-", 0.1732887212], + ["Si3-", "Se3+", -0.0193080002], + ["Se3+", "Si3-", -0.0193080002], + ["Si3-", "Br2+", -0.0145076733], + ["Br2+", "Si3-", -0.0145076733], + ["Si3-", "Br5+", -0.2225693055], + ["Br5+", "Si3-", -0.2225693055], + ["Si3-", "Br3+", 0.0473704678], + ["Br3+", "Si3-", 0.0473704678], + ["Si3-", "Sr2+", 0.0820895516], + ["Sr2+", "Si3-", 0.0820895516], + ["Si3-", "Y3+", 0.0915364067], + ["Y3+", "Si3-", 0.0915364067], + ["Si3-", "Y2+", -0.0501410468], + ["Y2+", "Si3-", -0.0501410468], + ["Si3-", "Zr2+", -0.058089053], + ["Zr2+", "Si3-", -0.058089053], + ["Si3-", "Zr4+", 0.0255864178], + ["Zr4+", "Si3-", 0.0255864178], + ["Si3-", "Zr3+", 0.0730638282], + ["Zr3+", "Si3-", 0.0730638282], + ["Si3-", "Nb5+", 0.0602595798], + ["Nb5+", "Si3-", 0.0602595798], + ["Si3-", "Nb3+", -0.0041220633], + ["Nb3+", "Si3-", -0.0041220633], + ["Si3-", "Nb4+", 0.0320799597], + ["Nb4+", "Si3-", 0.0320799597], + ["Si3-", "Nb2+", 0.1122979917], + ["Nb2+", "Si3-", 0.1122979917], + ["Si3-", "Nb7+", -0.0443584235], + ["Nb7+", "Si3-", -0.0443584235], + ["Si3-", "Mo3+", 0.1541576343], + ["Mo3+", "Si3-", 0.1541576343], + ["Si3-", "Mo4+", 0.0583372714], + ["Mo4+", "Si3-", 0.0583372714], + ["Si3-", "Mo6+", -0.1373971848], + ["Mo6+", "Si3-", -0.1373971848], + ["Si3-", "Mo5+", -0.176380641], + ["Mo5+", "Si3-", -0.176380641], + ["Si3-", "Mo2+", 0.0209233087], + ["Mo2+", "Si3-", 0.0209233087], + ["Si3-", "Tc4+", 0.0666563049], + ["Tc4+", "Si3-", 0.0666563049], + ["Si3-", "Tc3-", 0.1464702971], + ["Tc3-", "Si3-", 0.1464702971], + ["Si3-", "Tc3+", 0.2012597068], + ["Tc3+", "Si3-", 0.2012597068], + ["Si3-", "Tc7+", 0.1893832704], + ["Tc7+", "Si3-", 0.1893832704], + ["Si3-", "Tc5+", 0.0042644202], + ["Tc5+", "Si3-", 0.0042644202], + ["Si3-", "Tc6+", 0.035262426], + ["Tc6+", "Si3-", 0.035262426], + ["Si3-", "Tc2-", 0.1344014591], + ["Tc2-", "Si3-", 0.1344014591], + ["Si3-", "Tc2+", 0.1872654038], + ["Tc2+", "Si3-", 0.1872654038], + ["Si3-", "Ru2+", 0.0965296402], + ["Ru2+", "Si3-", 0.0965296402], + ["Si3-", "Ru6+", 0.1246154173], + ["Ru6+", "Si3-", 0.1246154173], + ["Si3-", "Ru4+", -0.0352300809], + ["Ru4+", "Si3-", -0.0352300809], + ["Si3-", "Ru5+", 0.1616635726], + ["Ru5+", "Si3-", 0.1616635726], + ["Si3-", "Ru3+", -0.1272711281], + ["Ru3+", "Si3-", -0.1272711281], + ["Si3-", "Rh4+", -0.003127961], + ["Rh4+", "Si3-", -0.003127961], + ["Si3-", "Rh3+", 0.1728736111], + ["Rh3+", "Si3-", 0.1728736111], + ["Si3-", "Pd2+", 0.0269985235], + ["Pd2+", "Si3-", 0.0269985235], + ["Si3-", "Pd4+", 0.0745277904], + ["Pd4+", "Si3-", 0.0745277904], + ["Si3-", "Pd3+", 0.0761425279], + ["Pd3+", "Si3-", 0.0761425279], + ["Si3-", "Ag3+", -0.090076448], + ["Ag3+", "Si3-", -0.090076448], + ["Si3-", "Ag2+", -0.0574885307], + ["Ag2+", "Si3-", -0.0574885307], + ["Si3-", "Cd2+", 0.1156949193], + ["Cd2+", "Si3-", 0.1156949193], + ["Si3-", "In3+", 0.1171077635], + ["In3+", "Si3-", 0.1171077635], + ["Si3-", "In2+", 0.147808785], + ["In2+", "Si3-", 0.147808785], + ["Si3-", "Sn4+", 0.0581585761], + ["Sn4+", "Si3-", 0.0581585761], + ["Si3-", "Sn3+", 0.0728544018], + ["Sn3+", "Si3-", 0.0728544018], + ["Si3-", "Sn2+", 0.2100020798], + ["Sn2+", "Si3-", 0.2100020798], + ["Si3-", "Sb5+", -0.0385768483], + ["Sb5+", "Si3-", -0.0385768483], + ["Si3-", "Sb2-", 0.3485011005], + ["Sb2-", "Si3-", 0.3485011005], + ["Si3-", "Sb3-", 0.2872179798], + ["Sb3-", "Si3-", 0.2872179798], + ["Si3-", "Sb3+", 0.0619858883], + ["Sb3+", "Si3-", 0.0619858883], + ["Si3-", "Sb4+", -0.0242547446], + ["Sb4+", "Si3-", -0.0242547446], + ["Si3-", "Te2-", 0.250885914], + ["Te2-", "Si3-", 0.250885914], + ["Si3-", "Te4+", 0.0677653764], + ["Te4+", "Si3-", 0.0677653764], + ["Si3-", "Te6+", -0.0580663663], + ["Te6+", "Si3-", -0.0580663663], + ["Si3-", "Te2+", 0.049719759], + ["Te2+", "Si3-", 0.049719759], + ["Si3-", "Te5+", 0.0537137272], + ["Te5+", "Si3-", 0.0537137272], + ["Si3-", "I3+", -0.0673021922], + ["I3+", "Si3-", -0.0673021922], + ["Si3-", "I7+", 0.0048464731], + ["I7+", "Si3-", 0.0048464731], + ["Si3-", "I5+", -0.0304201546], + ["I5+", "Si3-", -0.0304201546], + ["Si3-", "I2+", 0.2498925079], + ["I2+", "Si3-", 0.2498925079], + ["Si3-", "Ba2+", 0.1055185035], + ["Ba2+", "Si3-", 0.1055185035], + ["Si3-", "La3+", 0.300426709], + ["La3+", "Si3-", 0.300426709], + ["Si3-", "La2+", 0.2168501949], + ["La2+", "Si3-", 0.2168501949], + ["Si3-", "Ce3+", 0.4619556938], + ["Ce3+", "Si3-", 0.4619556938], + ["Si3-", "Ce2+", 0.1126492312], + ["Ce2+", "Si3-", 0.1126492312], + ["Si3-", "Ce4+", 0.1808292691], + ["Ce4+", "Si3-", 0.1808292691], + ["Si3-", "Pr3+", 0.1388640542], + ["Pr3+", "Si3-", 0.1388640542], + ["Si3-", "Pr4+", 0.0000790985], + ["Pr4+", "Si3-", 0.0000790985], + ["Si3-", "Pr2+", -0.026293825], + ["Pr2+", "Si3-", -0.026293825], + ["Si3-", "Nd3+", 0.0104128069], + ["Nd3+", "Si3-", 0.0104128069], + ["Si3-", "Nd2+", 0.0379834542], + ["Nd2+", "Si3-", 0.0379834542], + ["Si3-", "Pm3+", 0.1331613459], + ["Pm3+", "Si3-", 0.1331613459], + ["Si3-", "Sm3+", 0.0314868906], + ["Sm3+", "Si3-", 0.0314868906], + ["Si3-", "Sm2+", 0.1277432676], + ["Sm2+", "Si3-", 0.1277432676], + ["Si3-", "Eu2+", 0.1763897173], + ["Eu2+", "Si3-", 0.1763897173], + ["Si3-", "Eu3+", 0.0239338453], + ["Eu3+", "Si3-", 0.0239338453], + ["Si3-", "Gd2+", -0.0263084437], + ["Gd2+", "Si3-", -0.0263084437], + ["Si3-", "Gd3+", -0.0793540609], + ["Gd3+", "Si3-", -0.0793540609], + ["Si3-", "Tb3+", -0.0479206144], + ["Tb3+", "Si3-", -0.0479206144], + ["Si3-", "Tb2+", 0.016657813], + ["Tb2+", "Si3-", 0.016657813], + ["Si3-", "Tb4+", -0.0705910991], + ["Tb4+", "Si3-", -0.0705910991], + ["Si3-", "Dy3+", 0.0263938717], + ["Dy3+", "Si3-", 0.0263938717], + ["Si3-", "Dy2+", 0.0359009289], + ["Dy2+", "Si3-", 0.0359009289], + ["Si3-", "Ho3+", -0.055575841], + ["Ho3+", "Si3-", -0.055575841], + ["Si3-", "Ho2+", 0.0603464872], + ["Ho2+", "Si3-", 0.0603464872], + ["Si3-", "Er3+", 0.0419920815], + ["Er3+", "Si3-", 0.0419920815], + ["Si3-", "Tm3+", 0.0898642839], + ["Tm3+", "Si3-", 0.0898642839], + ["Si3-", "Tm2+", 0.0875101154], + ["Tm2+", "Si3-", 0.0875101154], + ["Si3-", "Yb3+", 0.1292404114], + ["Yb3+", "Si3-", 0.1292404114], + ["Si3-", "Yb2+", 0.1250360094], + ["Yb2+", "Si3-", 0.1250360094], + ["Si3-", "Lu3+", -0.0956839657], + ["Lu3+", "Si3-", -0.0956839657], + ["Si3-", "Hf3+", -0.0286562571], + ["Hf3+", "Si3-", -0.0286562571], + ["Si3-", "Hf2+", -0.0310254271], + ["Hf2+", "Si3-", -0.0310254271], + ["Si3-", "Hf4+", 0.1371589791], + ["Hf4+", "Si3-", 0.1371589791], + ["Si3-", "Ta5+", 0.0971177496], + ["Ta5+", "Si3-", 0.0971177496], + ["Si3-", "Ta3+", 0.0251186103], + ["Ta3+", "Si3-", 0.0251186103], + ["Si3-", "Ta4+", 0.153050363], + ["Ta4+", "Si3-", 0.153050363], + ["Si3-", "Ta2+", -0.0438526936], + ["Ta2+", "Si3-", -0.0438526936], + ["Si3-", "W6+", -0.0502662738], + ["W6+", "Si3-", -0.0502662738], + ["Si3-", "W4+", 0.0240687088], + ["W4+", "Si3-", 0.0240687088], + ["Si3-", "W2+", -0.0330681756], + ["W2+", "Si3-", -0.0330681756], + ["Si3-", "W3+", 0.0306740439], + ["W3+", "Si3-", 0.0306740439], + ["Si3-", "W5+", 0.0079610904], + ["W5+", "Si3-", 0.0079610904], + ["Si3-", "Re5+", 0.0369710797], + ["Re5+", "Si3-", 0.0369710797], + ["Si3-", "Re3+", 0.0844554714], + ["Re3+", "Si3-", 0.0844554714], + ["Si3-", "Re6+", 0.0345689825], + ["Re6+", "Si3-", 0.0345689825], + ["Si3-", "Re2+", -0.1088528927], + ["Re2+", "Si3-", -0.1088528927], + ["Si3-", "Re4+", -0.0794244165], + ["Re4+", "Si3-", -0.0794244165], + ["Si3-", "Re7+", -0.1506369696], + ["Re7+", "Si3-", -0.1506369696], + ["Si3-", "Os7+", 0.0527523934], + ["Os7+", "Si3-", 0.0527523934], + ["Si3-", "Os6+", 0.0636664678], + ["Os6+", "Si3-", 0.0636664678], + ["Si3-", "Os5+", -0.0531618287], + ["Os5+", "Si3-", -0.0531618287], + ["Si3-", "Os2-", 0.1529318614], + ["Os2-", "Si3-", 0.1529318614], + ["Si3-", "Os3+", 0.1023842205], + ["Os3+", "Si3-", 0.1023842205], + ["Si3-", "Os4+", 0.0754027415], + ["Os4+", "Si3-", 0.0754027415], + ["Si3-", "Os8+", 0.0636256935], + ["Os8+", "Si3-", 0.0636256935], + ["Si3-", "Os2+", -0.1245619447], + ["Os2+", "Si3-", -0.1245619447], + ["Si3-", "Ir3+", 0.1729217995], + ["Ir3+", "Si3-", 0.1729217995], + ["Si3-", "Ir4+", 0.1400642462], + ["Ir4+", "Si3-", 0.1400642462], + ["Si3-", "Ir5+", -0.0251916256], + ["Ir5+", "Si3-", -0.0251916256], + ["Si3-", "Ir6+", 0.1466684913], + ["Ir6+", "Si3-", 0.1466684913], + ["Si3-", "Pt2+", 0.121854584], + ["Pt2+", "Si3-", 0.121854584], + ["Si3-", "Pt2-", 0.2353170427], + ["Pt2-", "Si3-", 0.2353170427], + ["Si3-", "Pt4+", 0.1137487473], + ["Pt4+", "Si3-", 0.1137487473], + ["Si3-", "Pt3+", -0.0067729853], + ["Pt3+", "Si3-", -0.0067729853], + ["Si3-", "Pt5+", 0.2819585024], + ["Pt5+", "Si3-", 0.2819585024], + ["Si3-", "Pt6+", 0.2185971093], + ["Pt6+", "Si3-", 0.2185971093], + ["Si3-", "Au2+", 0.0956126436], + ["Au2+", "Si3-", 0.0956126436], + ["Si3-", "Au3+", -0.048166538], + ["Au3+", "Si3-", -0.048166538], + ["Si3-", "Au5+", -0.1802058867], + ["Au5+", "Si3-", -0.1802058867], + ["Si3-", "Au4+", 0.0191011718], + ["Au4+", "Si3-", 0.0191011718], + ["Si3-", "Hg2+", 0.1174895207], + ["Hg2+", "Si3-", 0.1174895207], + ["Si3-", "Tl3+", 0.1074092986], + ["Tl3+", "Si3-", 0.1074092986], + ["Si3-", "Tl2+", -0.1133294691], + ["Tl2+", "Si3-", -0.1133294691], + ["Si3-", "Pb2+", 0.0999518439], + ["Pb2+", "Si3-", 0.0999518439], + ["Si3-", "Pb3+", -0.0410404488], + ["Pb3+", "Si3-", -0.0410404488], + ["Si3-", "Pb4+", 0.1090038674], + ["Pb4+", "Si3-", 0.1090038674], + ["Si3-", "Bi3+", 0.1521647957], + ["Bi3+", "Si3-", 0.1521647957], + ["Si3-", "Bi5+", -0.0627655814], + ["Bi5+", "Si3-", -0.0627655814], + ["Si3-", "Bi2+", 0.0990786441], + ["Bi2+", "Si3-", 0.0990786441], + ["Si3-", "Bi3-", 0.2962966107], + ["Bi3-", "Si3-", 0.2962966107], + ["Si3-", "Bi4+", -0.0009808056], + ["Bi4+", "Si3-", -0.0009808056], + ["Si3-", "Ac3+", 0.1566945304], + ["Ac3+", "Si3-", 0.1566945304], + ["Si3-", "Th4+", 0.1225700954], + ["Th4+", "Si3-", 0.1225700954], + ["Si3-", "Th3+", 0.0964757914], + ["Th3+", "Si3-", 0.0964757914], + ["Si3-", "Pa4+", -0.0325846024], + ["Pa4+", "Si3-", -0.0325846024], + ["Si3-", "Pa5+", 0.0327041416], + ["Pa5+", "Si3-", 0.0327041416], + ["Si3-", "Pa3+", 0.0960608816], + ["Pa3+", "Si3-", 0.0960608816], + ["Si3-", "U6+", -0.0391949161], + ["U6+", "Si3-", -0.0391949161], + ["Si3-", "U4+", 0.1273939859], + ["U4+", "Si3-", 0.1273939859], + ["Si3-", "U3+", 0.0987772963], + ["U3+", "Si3-", 0.0987772963], + ["Si3-", "U2+", 0.096979939], + ["U2+", "Si3-", 0.096979939], + ["Si3-", "U5+", -0.0522727144], + ["U5+", "Si3-", -0.0522727144], + ["Si3-", "Np6+", 0.0234417576], + ["Np6+", "Si3-", 0.0234417576], + ["Si3-", "Np4+", -0.0838589517], + ["Np4+", "Si3-", -0.0838589517], + ["Si3-", "Np3+", 0.1677695956], + ["Np3+", "Si3-", 0.1677695956], + ["Si3-", "Np7+", 0.0652163753], + ["Np7+", "Si3-", 0.0652163753], + ["Si3-", "Np5+", 0.0188757654], + ["Np5+", "Si3-", 0.0188757654], + ["Si3-", "Pu7+", 0.0005246759], + ["Pu7+", "Si3-", 0.0005246759], + ["Si3-", "Pu6+", 0.0072825052], + ["Pu6+", "Si3-", 0.0072825052], + ["Si3-", "Pu3+", 0.0733352699], + ["Pu3+", "Si3-", 0.0733352699], + ["Si3-", "Pu4+", -0.0503430899], + ["Pu4+", "Si3-", -0.0503430899], + ["Si3-", "Pu5+", -0.1218539622], + ["Pu5+", "Si3-", -0.1218539622], + ["Si3-", "H1+", 0.0231720543], + ["H1+", "Si3-", 0.0231720543], + ["Si3-", "H1-", 0.1266189174], + ["H1-", "Si3-", 0.1266189174], + ["Si3-", "Li1+", 0.1290984365], + ["Li1+", "Si3-", 0.1290984365], + ["Si3-", "B1+", 0.0171089901], + ["B1+", "Si3-", 0.0171089901], + ["Si3-", "B1-", 0.1216943993], + ["B1-", "Si3-", 0.1216943993], + ["Si3-", "C1-", 0.1639386221], + ["C1-", "Si3-", 0.1639386221], + ["Si3-", "C1+", 0.1713380751], + ["C1+", "Si3-", 0.1713380751], + ["Si3-", "N1-", 0.3980486973], + ["N1-", "Si3-", 0.3980486973], + ["Si3-", "N1+", 0.1027585597], + ["N1+", "Si3-", 0.1027585597], + ["Si3-", "O1-", -0.1129769478], + ["O1-", "Si3-", -0.1129769478], + ["Si3-", "F1-", 0.1981619661], + ["F1-", "Si3-", 0.1981619661], + ["Si3-", "Na1+", 0.0705063273], + ["Na1+", "Si3-", 0.0705063273], + ["Si3-", "Si1-", -0.1237777492], + ["Si1-", "Si3-", -0.1237777492], + ["Si3-", "P1+", -0.0578908289], + ["P1+", "Si3-", -0.0578908289], + ["Si3-", "P1-", 0.1857656315], + ["P1-", "Si3-", 0.1857656315], + ["Si3-", "S1-", 0.237947562], + ["S1-", "Si3-", 0.237947562], + ["Si3-", "S1+", 0.0865978876], + ["S1+", "Si3-", 0.0865978876], + ["Si3-", "Cl1-", 0.1996829716], + ["Cl1-", "Si3-", 0.1996829716], + ["Si3-", "K1+", 0.0821702643], + ["K1+", "Si3-", 0.0821702643], + ["Si3-", "Sc1+", 0.0002279138], + ["Sc1+", "Si3-", 0.0002279138], + ["Si3-", "Mn1+", 0.0899268711], + ["Mn1+", "Si3-", 0.0899268711], + ["Si3-", "Fe1+", -0.1513776606], + ["Fe1+", "Si3-", -0.1513776606], + ["Si3-", "Co1+", -0.2132230494], + ["Co1+", "Si3-", -0.2132230494], + ["Si3-", "Ni1+", -0.0976823218], + ["Ni1+", "Si3-", -0.0976823218], + ["Si3-", "Cu1+", 0.0059328519], + ["Cu1+", "Si3-", 0.0059328519], + ["Si3-", "Ga1+", 0.1539166412], + ["Ga1+", "Si3-", 0.1539166412], + ["Si3-", "As1-", 0.3449299709], + ["As1-", "Si3-", 0.3449299709], + ["Si3-", "As1+", 0.2379394181], + ["As1+", "Si3-", 0.2379394181], + ["Si3-", "Se1-", 0.2673749521], + ["Se1-", "Si3-", 0.2673749521], + ["Si3-", "Se1+", 0.0947638537], + ["Se1+", "Si3-", 0.0947638537], + ["Si3-", "Br1-", 0.3329990595], + ["Br1-", "Si3-", 0.3329990595], + ["Si3-", "Br1+", -0.0088776914], + ["Br1+", "Si3-", -0.0088776914], + ["Si3-", "Rb1+", 0.096461187], + ["Rb1+", "Si3-", 0.096461187], + ["Si3-", "Y1+", -0.0196003237], + ["Y1+", "Si3-", -0.0196003237], + ["Si3-", "Zr1+", -0.0788581036], + ["Zr1+", "Si3-", -0.0788581036], + ["Si3-", "Nb1+", 0.0301981278], + ["Nb1+", "Si3-", 0.0301981278], + ["Si3-", "Tc1-", 0.2695956478], + ["Tc1-", "Si3-", 0.2695956478], + ["Si3-", "Tc1+", 0.0713609673], + ["Tc1+", "Si3-", 0.0713609673], + ["Si3-", "Rh1+", 0.1222411001], + ["Rh1+", "Si3-", 0.1222411001], + ["Si3-", "Ag1+", 0.2341962998], + ["Ag1+", "Si3-", 0.2341962998], + ["Si3-", 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["Nb4+", "P2-", 0.0244160177], + ["P2-", "Nb2+", -0.0202740528], + ["Nb2+", "P2-", -0.0202740528], + ["P2-", "Nb7+", 0.0138610581], + ["Nb7+", "P2-", 0.0138610581], + ["P2-", "Mo3+", -0.1786575564], + ["Mo3+", "P2-", -0.1786575564], + ["P2-", "Mo4+", -0.0782194549], + ["Mo4+", "P2-", -0.0782194549], + ["P2-", "Mo6+", -0.1698399501], + ["Mo6+", "P2-", -0.1698399501], + ["P2-", "Mo5+", -0.0606911061], + ["Mo5+", "P2-", -0.0606911061], + ["P2-", "Mo2+", -0.1283155606], + ["Mo2+", "P2-", -0.1283155606], + ["P2-", "Tc4+", 0.079929242], + ["Tc4+", "P2-", 0.079929242], + ["P2-", "Tc3-", 0.073612354], + ["Tc3-", "P2-", 0.073612354], + ["P2-", "Tc3+", -0.1051354868], + ["Tc3+", "P2-", -0.1051354868], + ["P2-", "Tc7+", -0.069226147], + ["Tc7+", "P2-", -0.069226147], + ["P2-", "Tc5+", -0.1540959556], + ["Tc5+", "P2-", -0.1540959556], + ["P2-", "Tc6+", -0.1220480519], + ["Tc6+", "P2-", -0.1220480519], + ["P2-", "Tc2-", 0.1091701878], + ["Tc2-", "P2-", 0.1091701878], + ["P2-", "Tc2+", 0.0866963217], + ["Tc2+", "P2-", 0.0866963217], + ["P2-", "Ru2+", 0.082894975], + ["Ru2+", "P2-", 0.082894975], + ["P2-", "Ru6+", 0.043883244], + ["Ru6+", "P2-", 0.043883244], + ["P2-", "Ru4+", -0.0270637054], + ["Ru4+", "P2-", -0.0270637054], + ["P2-", "Ru5+", -0.049048787], + ["Ru5+", "P2-", -0.049048787], + ["P2-", "Ru3+", -0.2148742749], + ["Ru3+", "P2-", -0.2148742749], + ["P2-", "Rh4+", 0.0695018092], + ["Rh4+", "P2-", 0.0695018092], + ["P2-", "Rh3+", -0.1319915566], + ["Rh3+", "P2-", -0.1319915566], + ["P2-", "Pd2+", -0.1235688397], + ["Pd2+", "P2-", -0.1235688397], + ["P2-", "Pd4+", 0.1581383441], + ["Pd4+", "P2-", 0.1581383441], + ["P2-", "Pd3+", 0.2304398085], + ["Pd3+", "P2-", 0.2304398085], + ["P2-", "Ag3+", -0.1228259777], + ["Ag3+", "P2-", -0.1228259777], + ["P2-", "Ag2+", 0.0185577786], + ["Ag2+", "P2-", 0.0185577786], + ["P2-", "Cd2+", 0.0811810002], + ["Cd2+", "P2-", 0.0811810002], + ["P2-", "In3+", -0.1509492841], + ["In3+", "P2-", -0.1509492841], + ["P2-", "In2+", 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"I7+", -0.0252137052], + ["I7+", "P2-", -0.0252137052], + ["P2-", "I5+", -0.1162362738], + ["I5+", "P2-", -0.1162362738], + ["P2-", "I2+", 0.0198441503], + ["I2+", "P2-", 0.0198441503], + ["P2-", "Ba2+", -0.0329065261], + ["Ba2+", "P2-", -0.0329065261], + ["P2-", "La3+", -0.0062738118], + ["La3+", "P2-", -0.0062738118], + ["P2-", "La2+", 0.0593987408], + ["La2+", "P2-", 0.0593987408], + ["P2-", "Ce3+", 0.1090637917], + ["Ce3+", "P2-", 0.1090637917], + ["P2-", "Ce2+", 0.0432368838], + ["Ce2+", "P2-", 0.0432368838], + ["P2-", "Ce4+", 0.0036897203], + ["Ce4+", "P2-", 0.0036897203], + ["P2-", "Pr3+", -0.0285363214], + ["Pr3+", "P2-", -0.0285363214], + ["P2-", "Pr4+", -0.0895967938], + ["Pr4+", "P2-", -0.0895967938], + ["P2-", "Pr2+", -0.007743975], + ["Pr2+", "P2-", -0.007743975], + ["P2-", "Nd3+", -0.113891824], + ["Nd3+", "P2-", -0.113891824], + ["P2-", "Nd2+", -0.0363597227], + ["Nd2+", "P2-", -0.0363597227], + ["P2-", "Pm3+", -0.110006061], + ["Pm3+", "P2-", -0.110006061], + ["P2-", "Sm3+", -0.0680033881], + ["Sm3+", "P2-", -0.0680033881], + ["P2-", "Sm2+", -0.0628440779], + ["Sm2+", "P2-", -0.0628440779], + ["P2-", "Eu2+", 0.0209484487], + ["Eu2+", "P2-", 0.0209484487], + ["P2-", "Eu3+", -0.1118284364], + ["Eu3+", "P2-", -0.1118284364], + ["P2-", "Gd2+", -0.1479512317], + ["Gd2+", "P2-", -0.1479512317], + ["P2-", "Gd3+", -0.2113902976], + ["Gd3+", "P2-", -0.2113902976], + ["P2-", "Tb3+", -0.141365062], + ["Tb3+", "P2-", -0.141365062], + ["P2-", "Tb2+", 0.0460181165], + ["Tb2+", "P2-", 0.0460181165], + ["P2-", "Tb4+", -0.0338588924], + ["Tb4+", "P2-", -0.0338588924], + ["P2-", "Dy3+", -0.1701462574], + ["Dy3+", "P2-", -0.1701462574], + ["P2-", "Dy2+", -0.106009479], + ["Dy2+", "P2-", -0.106009479], + ["P2-", "Ho3+", -0.206641237], + ["Ho3+", "P2-", -0.206641237], + ["P2-", "Ho2+", -0.173242832], + ["Ho2+", "P2-", -0.173242832], + ["P2-", "Er3+", -0.2329380721], + ["Er3+", "P2-", -0.2329380721], + ["P2-", "Tm3+", -0.1925006786], + ["Tm3+", "P2-", -0.1925006786], + 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["Os2+", "P2-", -0.0457302985], + ["P2-", "Ir3+", -0.0794470702], + ["Ir3+", "P2-", -0.0794470702], + ["P2-", "Ir4+", 0.0160659176], + ["Ir4+", "P2-", 0.0160659176], + ["P2-", "Ir5+", -0.066398309], + ["Ir5+", "P2-", -0.066398309], + ["P2-", "Ir6+", 0.000940843], + ["Ir6+", "P2-", 0.000940843], + ["P2-", "Pt2+", 0.0458152471], + ["Pt2+", "P2-", 0.0458152471], + ["P2-", "Pt2-", 0.1296429084], + ["Pt2-", "P2-", 0.1296429084], + ["P2-", "Pt4+", -0.1051879127], + ["Pt4+", "P2-", -0.1051879127], + ["P2-", "Pt3+", -0.0968436693], + ["Pt3+", "P2-", -0.0968436693], + ["P2-", "Pt5+", 0.0251578998], + ["Pt5+", "P2-", 0.0251578998], + ["P2-", "Pt6+", -0.0217217021], + ["Pt6+", "P2-", -0.0217217021], + ["P2-", "Au2+", 0.0167272277], + ["Au2+", "P2-", 0.0167272277], + ["P2-", "Au3+", -0.0632239288], + ["Au3+", "P2-", -0.0632239288], + ["P2-", "Au5+", -0.1741809004], + ["Au5+", "P2-", -0.1741809004], + ["P2-", "Au4+", -0.0345336925], + ["Au4+", "P2-", -0.0345336925], + ["P2-", "Hg2+", 0.1641999325], + ["Hg2+", "P2-", 0.1641999325], + ["P2-", "Tl3+", -0.1804168849], + ["Tl3+", "P2-", -0.1804168849], + ["P2-", "Tl2+", -0.2532583094], + ["Tl2+", "P2-", -0.2532583094], + ["P2-", "Pb2+", -0.2582577702], + ["Pb2+", "P2-", -0.2582577702], + ["P2-", "Pb3+", -0.0998820319], + ["Pb3+", "P2-", -0.0998820319], + ["P2-", "Pb4+", -0.0843345549], + ["Pb4+", "P2-", -0.0843345549], + ["P2-", "Bi3+", -0.2307110763], + ["Bi3+", "P2-", -0.2307110763], + ["P2-", "Bi5+", -0.1571251387], + ["Bi5+", "P2-", -0.1571251387], + ["P2-", "Bi2+", -0.0606967469], + ["Bi2+", "P2-", -0.0606967469], + ["P2-", "Bi3-", 0.1959567683], + ["Bi3-", "P2-", 0.1959567683], + ["P2-", "Bi4+", -0.1032974526], + ["Bi4+", "P2-", -0.1032974526], + ["P2-", "Ac3+", -0.1613828235], + ["Ac3+", "P2-", -0.1613828235], + ["P2-", "Th4+", 0.0194065993], + ["Th4+", "P2-", 0.0194065993], + ["P2-", "Th3+", 0.0145809472], + ["Th3+", "P2-", 0.0145809472], + ["P2-", "Pa4+", 0.1031773062], + ["Pa4+", "P2-", 0.1031773062], + ["P2-", "Pa5+", 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0.3086147868], + ["S2-", "Tc3+", 0.2131352243], + ["Tc3+", "S2-", 0.2131352243], + ["S2-", "Tc7+", 0.0648675653], + ["Tc7+", "S2-", 0.0648675653], + ["S2-", "Tc5+", -0.0576784695], + ["Tc5+", "S2-", -0.0576784695], + ["S2-", "Tc6+", -0.0062494217], + ["Tc6+", "S2-", -0.0062494217], + ["S2-", "Tc2-", 0.1682267704], + ["Tc2-", "S2-", 0.1682267704], + ["S2-", "Tc2+", 0.0006190709], + ["Tc2+", "S2-", 0.0006190709], + ["S2-", "Ru2+", -0.0654333437], + ["Ru2+", "S2-", -0.0654333437], + ["S2-", "Ru6+", -0.0761623929], + ["Ru6+", "S2-", -0.0761623929], + ["S2-", "Ru4+", 0.0203632829], + ["Ru4+", "S2-", 0.0203632829], + ["S2-", "Ru5+", 0.1320975903], + ["Ru5+", "S2-", 0.1320975903], + ["S2-", "Ru3+", -0.2258740475], + ["Ru3+", "S2-", -0.2258740475], + ["S2-", "Rh4+", -0.0757648123], + ["Rh4+", "S2-", -0.0757648123], + ["S2-", "Rh3+", 0.176216225], + ["Rh3+", "S2-", 0.176216225], + ["S2-", "Pd2+", 0.257183716], + ["Pd2+", "S2-", 0.257183716], + ["S2-", "Pd4+", 0.0129434981], + ["Pd4+", "S2-", 0.0129434981], + ["S2-", "Pd3+", 0.0624223944], + ["Pd3+", "S2-", 0.0624223944], + ["S2-", "Ag3+", 0.0920151723], + ["Ag3+", "S2-", 0.0920151723], + ["S2-", "Ag2+", 0.1084127526], + ["Ag2+", "S2-", 0.1084127526], + ["S2-", "Cd2+", 0.0532032458], + ["Cd2+", "S2-", 0.0532032458], + ["S2-", "In3+", 0.1509325373], + ["In3+", "S2-", 0.1509325373], + ["S2-", "In2+", 0.1230096386], + ["In2+", "S2-", 0.1230096386], + ["S2-", "Sn4+", 0.2074937906], + ["Sn4+", "S2-", 0.2074937906], + ["S2-", "Sn3+", 0.0891472069], + ["Sn3+", "S2-", 0.0891472069], + ["S2-", "Sn2+", 0.174420141], + ["Sn2+", "S2-", 0.174420141], + ["S2-", "Sb5+", 0.1360240456], + ["Sb5+", "S2-", 0.1360240456], + ["S2-", "Sb2-", 0.2036611171], + ["Sb2-", "S2-", 0.2036611171], + ["S2-", "Sb3-", 0.327204098], + ["Sb3-", "S2-", 0.327204098], + ["S2-", "Sb3+", 0.3113667572], + ["Sb3+", "S2-", 0.3113667572], + ["S2-", "Sb4+", -0.010088849], + ["Sb4+", "S2-", -0.010088849], + ["S2-", "Te2-", 0.5822526056], + ["Te2-", "S2-", 0.5822526056], 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0.336733706], + ["Ac3+", "S2-", 0.336733706], + ["S2-", "Th4+", 0.0632150317], + ["Th4+", "S2-", 0.0632150317], + ["S2-", "Th3+", 0.1209719173], + ["Th3+", "S2-", 0.1209719173], + ["S2-", "Pa4+", -0.3162759187], + ["Pa4+", "S2-", -0.3162759187], + ["S2-", "Pa5+", -0.0899508608], + ["Pa5+", "S2-", -0.0899508608], + ["S2-", "Pa3+", -0.0053415121], + ["Pa3+", "S2-", -0.0053415121], + ["S2-", "U6+", -0.1307863031], + ["U6+", "S2-", -0.1307863031], + ["S2-", "U4+", 0.1440570886], + ["U4+", "S2-", 0.1440570886], + ["S2-", "U3+", 0.1402392783], + ["U3+", "S2-", 0.1402392783], + ["S2-", "U2+", 0.1337061976], + ["U2+", "S2-", 0.1337061976], + ["S2-", "U5+", -0.1065715914], + ["U5+", "S2-", -0.1065715914], + ["S2-", "Np6+", -0.0329358158], + ["Np6+", "S2-", -0.0329358158], + ["S2-", "Np4+", 0.0895253822], + ["Np4+", "S2-", 0.0895253822], + ["S2-", "Np3+", 0.1296880087], + ["Np3+", "S2-", 0.1296880087], + ["S2-", "Np7+", -0.0983786723], + ["Np7+", "S2-", -0.0983786723], + ["S2-", "Np5+", 0.0677902648], + ["Np5+", "S2-", 0.0677902648], + ["S2-", "Pu7+", -0.1562913211], + ["Pu7+", "S2-", -0.1562913211], + ["S2-", "Pu6+", -0.0728367268], + ["Pu6+", "S2-", -0.0728367268], + ["S2-", "Pu3+", 0.1680925436], + ["Pu3+", "S2-", 0.1680925436], + ["S2-", "Pu4+", 0.0810278228], + ["Pu4+", "S2-", 0.0810278228], + ["S2-", "Pu5+", -0.2165254619], + ["Pu5+", "S2-", -0.2165254619], + ["S2-", "H1+", 0.0055444172], + ["H1+", "S2-", 0.0055444172], + ["S2-", "H1-", 0.2789343901], + ["H1-", "S2-", 0.2789343901], + ["S2-", "Li1+", 0.1707017493], + ["Li1+", "S2-", 0.1707017493], + ["S2-", "B1+", -0.013103131], + ["B1+", "S2-", -0.013103131], + ["S2-", "B1-", 0.2865969718], + ["B1-", "S2-", 0.2865969718], + ["S2-", "C1-", 0.2643472356], + ["C1-", "S2-", 0.2643472356], + ["S2-", "C1+", 0.1754474154], + ["C1+", "S2-", 0.1754474154], + ["S2-", "N1-", 0.3526781187], + ["N1-", "S2-", 0.3526781187], + ["S2-", "N1+", 0.3364604423], + ["N1+", "S2-", 0.3364604423], + ["S2-", "O1-", 0.3441341151], + 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+ ["Pt2+", "Sc2+", 0.2539363194], + ["Sc2+", "Pt2-", 0.054571887], + ["Pt2-", "Sc2+", 0.054571887], + ["Sc2+", "Pt4+", 0.1381292381], + ["Pt4+", "Sc2+", 0.1381292381], + ["Sc2+", "Pt3+", 0.1617103668], + ["Pt3+", "Sc2+", 0.1617103668], + ["Sc2+", "Pt5+", 0.1535297825], + ["Pt5+", "Sc2+", 0.1535297825], + ["Sc2+", "Pt6+", 0.0337231285], + ["Pt6+", "Sc2+", 0.0337231285], + ["Sc2+", "Au2+", 0.4463900331], + ["Au2+", "Sc2+", 0.4463900331], + ["Sc2+", "Au3+", 0.0998797843], + ["Au3+", "Sc2+", 0.0998797843], + ["Sc2+", "Au5+", -0.0161683976], + ["Au5+", "Sc2+", -0.0161683976], + ["Sc2+", "Au4+", -0.1952060717], + ["Au4+", "Sc2+", -0.1952060717], + ["Sc2+", "Hg2+", 0.3794499649], + ["Hg2+", "Sc2+", 0.3794499649], + ["Sc2+", "Tl3+", 0.2036589686], + ["Tl3+", "Sc2+", 0.2036589686], + ["Sc2+", "Tl2+", -0.1277838525], + ["Tl2+", "Sc2+", -0.1277838525], + ["Sc2+", "Pb2+", -0.0622619016], + ["Pb2+", "Sc2+", -0.0622619016], + ["Sc2+", "Pb3+", 0.0615842992], + ["Pb3+", "Sc2+", 0.0615842992], + 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+ ["Li1+", "Sc2+", 0.0267427198], + ["Sc2+", "B1+", 0.2418750219], + ["B1+", "Sc2+", 0.2418750219], + ["Sc2+", "B1-", 0.0634291406], + ["B1-", "Sc2+", 0.0634291406], + ["Sc2+", "C1-", -0.0251314091], + ["C1-", "Sc2+", -0.0251314091], + ["Sc2+", "C1+", 0.0680851419], + ["C1+", "Sc2+", 0.0680851419], + ["Sc2+", "N1-", -0.0731798434], + ["N1-", "Sc2+", -0.0731798434], + ["Sc2+", "N1+", 0.0897887739], + ["N1+", "Sc2+", 0.0897887739], + ["Sc2+", "O1-", -0.1632008881], + ["O1-", "Sc2+", -0.1632008881], + ["Sc2+", "F1-", -0.1042002504], + ["F1-", "Sc2+", -0.1042002504], + ["Sc2+", "Na1+", 0.0672782986], + ["Na1+", "Sc2+", 0.0672782986], + ["Sc2+", "Si1-", -0.110804141], + ["Si1-", "Sc2+", -0.110804141], + ["Sc2+", "P1+", 0.0520598007], + ["P1+", "Sc2+", 0.0520598007], + ["Sc2+", "P1-", -0.0737940048], + ["P1-", "Sc2+", -0.0737940048], + ["Sc2+", "S1-", 0.0102938956], + ["S1-", "Sc2+", 0.0102938956], + ["Sc2+", "S1+", 0.10819579], + ["S1+", "Sc2+", 0.10819579], + ["Sc2+", "Cl1-", 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+ ["Sc2+", "Rb1+", 0.11673398], + ["Rb1+", "Sc2+", 0.11673398], + ["Sc2+", "Y1+", 0.1215789201], + ["Y1+", "Sc2+", 0.1215789201], + ["Sc2+", "Zr1+", 0.1117437], + ["Zr1+", "Sc2+", 0.1117437], + ["Sc2+", "Nb1+", 0.2546248756], + ["Nb1+", "Sc2+", 0.2546248756], + ["Sc2+", "Tc1-", 0.1646343384], + ["Tc1-", "Sc2+", 0.1646343384], + ["Sc2+", "Tc1+", 0.206213923], + ["Tc1+", "Sc2+", 0.206213923], + ["Sc2+", "Rh1+", 0.3347793679], + ["Rh1+", "Sc2+", 0.3347793679], + ["Sc2+", "Ag1+", 0.0842391283], + ["Ag1+", "Sc2+", 0.0842391283], + ["Sc2+", "In1+", 0.279946597], + ["In1+", "Sc2+", 0.279946597], + ["Sc2+", "Sb1-", 0.0922897824], + ["Sb1-", "Sc2+", 0.0922897824], + ["Sc2+", "Sb1+", 0.0678397143], + ["Sb1+", "Sc2+", 0.0678397143], + ["Sc2+", "Te1-", 0.0958147191], + ["Te1-", "Sc2+", 0.0958147191], + ["Sc2+", "Te1+", 0.032410837], + ["Te1+", "Sc2+", 0.032410837], + ["Sc2+", "I1-", 0.1576135738], + ["I1-", "Sc2+", 0.1576135738], + ["Sc2+", "I1+", 0.0572590216], + ["I1+", "Sc2+", 0.0572590216], + 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0.1311475987], + ["Ti4+", "Hf2+", 0.144902622], + ["Hf2+", "Ti4+", 0.144902622], + ["Ti4+", "Hf4+", 0.6623675557], + ["Hf4+", "Ti4+", 0.6623675557], + ["Ti4+", "Ta5+", 0.7243651391], + ["Ta5+", "Ti4+", 0.7243651391], + ["Ti4+", "Ta3+", -0.1113048347], + ["Ta3+", "Ti4+", -0.1113048347], + ["Ti4+", "Ta4+", 0.449561], + ["Ta4+", "Ti4+", 0.449561], + ["Ti4+", "Ta2+", -0.1264612301], + ["Ta2+", "Ti4+", -0.1264612301], + ["Ti4+", "W6+", 0.5288570801], + ["W6+", "Ti4+", 0.5288570801], + ["Ti4+", "W4+", 0.381750511], + ["W4+", "Ti4+", 0.381750511], + ["Ti4+", "W2+", 0.221180013], + ["W2+", "Ti4+", 0.221180013], + ["Ti4+", "W3+", 0.3324313312], + ["W3+", "Ti4+", 0.3324313312], + ["Ti4+", "W5+", 0.3622644416], + ["W5+", "Ti4+", 0.3622644416], + ["Ti4+", "Re5+", 0.5320388284], + ["Re5+", "Ti4+", 0.5320388284], + ["Ti4+", "Re3+", 0.1484389366], + ["Re3+", "Ti4+", 0.1484389366], + ["Ti4+", "Re6+", 0.1141094294], + ["Re6+", "Ti4+", 0.1141094294], + ["Ti4+", "Re2+", 0.2723451356], + ["Re2+", "Ti4+", 0.2723451356], + ["Ti4+", "Re4+", 0.2429348134], + ["Re4+", "Ti4+", 0.2429348134], + ["Ti4+", "Re7+", 0.3827559291], + ["Re7+", "Ti4+", 0.3827559291], + ["Ti4+", "Os7+", 0.1106184714], + ["Os7+", "Ti4+", 0.1106184714], + ["Ti4+", "Os6+", 0.1755132145], + ["Os6+", "Ti4+", 0.1755132145], + ["Ti4+", "Os5+", 0.3313622768], + ["Os5+", "Ti4+", 0.3313622768], + ["Ti4+", "Os2-", 0.1202171303], + ["Os2-", "Ti4+", 0.1202171303], + ["Ti4+", "Os3+", 0.1410419638], + ["Os3+", "Ti4+", 0.1410419638], + ["Ti4+", "Os4+", 0.2956854736], + ["Os4+", "Ti4+", 0.2956854736], + ["Ti4+", "Os8+", 0.1519126624], + ["Os8+", "Ti4+", 0.1519126624], + ["Ti4+", "Os2+", 0.1641622048], + ["Os2+", "Ti4+", 0.1641622048], + ["Ti4+", "Ir3+", -0.0608423479], + ["Ir3+", "Ti4+", -0.0608423479], + ["Ti4+", "Ir4+", 0.5017682372], + ["Ir4+", "Ti4+", 0.5017682372], + ["Ti4+", "Ir5+", 0.2941836322], + ["Ir5+", "Ti4+", 0.2941836322], + ["Ti4+", "Ir6+", 0.1816763046], + ["Ir6+", "Ti4+", 0.1816763046], + ["Ti4+", "Pt2+", 0.2441047591], + ["Pt2+", "Ti4+", 0.2441047591], + ["Ti4+", "Pt2-", -0.339221345], + ["Pt2-", "Ti4+", -0.339221345], + ["Ti4+", "Pt4+", 0.2231397736], + ["Pt4+", "Ti4+", 0.2231397736], + ["Ti4+", "Pt3+", 0.4114406729], + ["Pt3+", "Ti4+", 0.4114406729], + ["Ti4+", "Pt5+", 0.0771311625], + ["Pt5+", "Ti4+", 0.0771311625], + ["Ti4+", "Pt6+", 0.1076289748], + ["Pt6+", "Ti4+", 0.1076289748], + ["Ti4+", "Au2+", -0.0707786966], + ["Au2+", "Ti4+", -0.0707786966], + ["Ti4+", "Au3+", 0.0396516632], + ["Au3+", "Ti4+", 0.0396516632], + ["Ti4+", "Au5+", 0.0359482029], + ["Au5+", "Ti4+", 0.0359482029], + ["Ti4+", "Au4+", -0.0141564815], + ["Au4+", "Ti4+", -0.0141564815], + ["Ti4+", "Hg2+", 0.0864574198], + ["Hg2+", "Ti4+", 0.0864574198], + ["Ti4+", "Tl3+", 0.1865849091], + ["Tl3+", "Ti4+", 0.1865849091], + ["Ti4+", "Tl2+", 0.3750855752], + ["Tl2+", "Ti4+", 0.3750855752], + ["Ti4+", "Pb2+", 0.3717786469], + ["Pb2+", "Ti4+", 0.3717786469], + ["Ti4+", "Pb3+", 0.3292934041], + ["Pb3+", "Ti4+", 0.3292934041], + ["Ti4+", "Pb4+", 0.2227839873], + ["Pb4+", "Ti4+", 0.2227839873], + ["Ti4+", "Bi3+", 0.501269093], + ["Bi3+", "Ti4+", 0.501269093], + ["Ti4+", "Bi5+", 0.3577805343], + ["Bi5+", "Ti4+", 0.3577805343], + ["Ti4+", "Bi2+", 0.3535723596], + ["Bi2+", "Ti4+", 0.3535723596], + ["Ti4+", "Bi3-", 0.0536031548], + ["Bi3-", "Ti4+", 0.0536031548], + ["Ti4+", "Bi4+", 0.421202816], + ["Bi4+", "Ti4+", 0.421202816], + ["Ti4+", "Ac3+", 0.1736883885], + ["Ac3+", "Ti4+", 0.1736883885], + ["Ti4+", "Th4+", 0.1652483405], + ["Th4+", "Ti4+", 0.1652483405], + ["Ti4+", "Th3+", -0.0480004703], + ["Th3+", "Ti4+", -0.0480004703], + ["Ti4+", "Pa4+", 0.0790337448], + ["Pa4+", "Ti4+", 0.0790337448], + ["Ti4+", "Pa5+", 0.2411312293], + ["Pa5+", "Ti4+", 0.2411312293], + ["Ti4+", "Pa3+", -0.0393367618], + ["Pa3+", "Ti4+", -0.0393367618], + ["Ti4+", "U6+", 0.3304358832], + ["U6+", "Ti4+", 0.3304358832], + ["Ti4+", "U4+", 0.0475234463], + ["U4+", "Ti4+", 0.0475234463], + ["Ti4+", "U3+", -0.1275871038], + 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0.4872121624], + ["Li1+", "Ti4+", 0.4872121624], + ["Ti4+", "B1+", -0.100135834], + ["B1+", "Ti4+", -0.100135834], + ["Ti4+", "B1-", 0.0049222262], + ["B1-", "Ti4+", 0.0049222262], + ["Ti4+", "C1-", 0.0584066631], + ["C1-", "Ti4+", 0.0584066631], + ["Ti4+", "C1+", 0.232391869], + ["C1+", "Ti4+", 0.232391869], + ["Ti4+", "N1-", 0.0224447555], + ["N1-", "Ti4+", 0.0224447555], + ["Ti4+", "N1+", 0.2363618538], + ["N1+", "Ti4+", 0.2363618538], + ["Ti4+", "O1-", 0.0938533614], + ["O1-", "Ti4+", 0.0938533614], + ["Ti4+", "F1-", 0.120031086], + ["F1-", "Ti4+", 0.120031086], + ["Ti4+", "Na1+", 0.5547683882], + ["Na1+", "Ti4+", 0.5547683882], + ["Ti4+", "Si1-", 0.0323324736], + ["Si1-", "Ti4+", 0.0323324736], + ["Ti4+", "P1+", 0.0884044588], + ["P1+", "Ti4+", 0.0884044588], + ["Ti4+", "P1-", -0.0264792129], + ["P1-", "Ti4+", -0.0264792129], + ["Ti4+", "S1-", 0.2587577376], + ["S1-", "Ti4+", 0.2587577376], + ["Ti4+", "S1+", 0.1801110437], + ["S1+", "Ti4+", 0.1801110437], + ["Ti4+", "Cl1-", 0.1601537211], + ["Cl1-", "Ti4+", 0.1601537211], + ["Ti4+", "K1+", 0.3378401498], + ["K1+", "Ti4+", 0.3378401498], + ["Ti4+", "Sc1+", -0.0455750447], + ["Sc1+", "Ti4+", -0.0455750447], + ["Ti4+", "Mn1+", 0.1130055348], + ["Mn1+", "Ti4+", 0.1130055348], + ["Ti4+", "Fe1+", 0.1372962808], + ["Fe1+", "Ti4+", 0.1372962808], + ["Ti4+", "Co1+", 0.1597692793], + ["Co1+", "Ti4+", 0.1597692793], + ["Ti4+", "Ni1+", 0.0748648818], + ["Ni1+", "Ti4+", 0.0748648818], + ["Ti4+", "Cu1+", 0.1210141382], + ["Cu1+", "Ti4+", 0.1210141382], + ["Ti4+", "Ga1+", -0.1602498591], + ["Ga1+", "Ti4+", -0.1602498591], + ["Ti4+", "As1-", -0.0525234037], + ["As1-", "Ti4+", -0.0525234037], + ["Ti4+", "As1+", 0.2796477334], + ["As1+", "Ti4+", 0.2796477334], + ["Ti4+", "Se1-", 0.1985812895], + ["Se1-", "Ti4+", 0.1985812895], + ["Ti4+", "Se1+", 0.2638994263], + ["Se1+", "Ti4+", 0.2638994263], + ["Ti4+", "Br1-", 0.0966826104], + ["Br1-", "Ti4+", 0.0966826104], + ["Ti4+", "Br1+", 0.0204784268], + ["Br1+", "Ti4+", 0.0204784268], + ["Ti4+", "Rb1+", 0.2353632746], + ["Rb1+", "Ti4+", 0.2353632746], + ["Ti4+", "Y1+", 0.0314203743], + ["Y1+", "Ti4+", 0.0314203743], + ["Ti4+", "Zr1+", -0.2886863928], + ["Zr1+", "Ti4+", -0.2886863928], + ["Ti4+", "Nb1+", 0.0798240277], + ["Nb1+", "Ti4+", 0.0798240277], + ["Ti4+", "Tc1-", 0.0005724135], + ["Tc1-", "Ti4+", 0.0005724135], + ["Ti4+", "Tc1+", 0.1338115294], + ["Tc1+", "Ti4+", 0.1338115294], + ["Ti4+", "Rh1+", -0.0508027436], + ["Rh1+", "Ti4+", -0.0508027436], + ["Ti4+", "Ag1+", 0.3901755682], + ["Ag1+", "Ti4+", 0.3901755682], + ["Ti4+", "In1+", -0.0347714162], + ["In1+", "Ti4+", -0.0347714162], + ["Ti4+", "Sb1-", -0.0927181862], + ["Sb1-", "Ti4+", -0.0927181862], + ["Ti4+", "Sb1+", 0.129590217], + ["Sb1+", "Ti4+", 0.129590217], + ["Ti4+", "Te1-", 0.1998269531], + ["Te1-", "Ti4+", 0.1998269531], + ["Ti4+", "Te1+", 0.0365461078], + ["Te1+", "Ti4+", 0.0365461078], + ["Ti4+", "I1-", 0.0396883288], + ["I1-", "Ti4+", 0.0396883288], + ["Ti4+", "I1+", 0.1042211724], + ["I1+", "Ti4+", 0.1042211724], + ["Ti4+", "Cs1+", 0.2465390287], + ["Cs1+", "Ti4+", 0.2465390287], + ["Ti4+", "La1+", -0.162932683], + ["La1+", "Ti4+", -0.162932683], + ["Ti4+", "Tb1+", -0.1250744183], + ["Tb1+", "Ti4+", -0.1250744183], + ["Ti4+", "Ta1+", 0.0579988461], + ["Ta1+", "Ti4+", 0.0579988461], + ["Ti4+", "Os1-", 0.0177968958], + ["Os1-", "Ti4+", 0.0177968958], + ["Ti4+", "Os1+", 0.0469033549], + ["Os1+", "Ti4+", 0.0469033549], + ["Ti4+", "Pt1-", 0.0596604782], + ["Pt1-", "Ti4+", 0.0596604782], + ["Ti4+", "Pt1+", 0.0831556334], + ["Pt1+", "Ti4+", 0.0831556334], + ["Ti4+", "Au1-", -0.3427709715], + ["Au1-", "Ti4+", -0.3427709715], + ["Ti4+", "Au1+", 0.0218955263], + ["Au1+", "Ti4+", 0.0218955263], + ["Ti4+", "Hg1+", 0.2273930811], + ["Hg1+", "Ti4+", 0.2273930811], + ["Ti4+", "Tl1+", 0.3650926372], + ["Tl1+", "Ti4+", 0.3650926372], + ["Ti4+", "Bi1+", -0.0603050112], + ["Bi1+", "Ti4+", -0.0603050112], + ["Ti2+", "Ti2+", 1.0], + ["Ti2+", "V4+", 0.1698489782], + 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-0.2578167033], + ["V5+", "Nb1+", -0.0342784516], + ["Nb1+", "V5+", -0.0342784516], + ["V5+", "Tc1-", 0.0150908419], + ["Tc1-", "V5+", 0.0150908419], + ["V5+", "Tc1+", 0.1924982621], + ["Tc1+", "V5+", 0.1924982621], + ["V5+", "Rh1+", -0.1272142794], + ["Rh1+", "V5+", -0.1272142794], + ["V5+", "Ag1+", 0.3034113041], + ["Ag1+", "V5+", 0.3034113041], + ["V5+", "In1+", -0.0699812881], + ["In1+", "V5+", -0.0699812881], + ["V5+", "Sb1-", -0.1672272534], + ["Sb1-", "V5+", -0.1672272534], + ["V5+", "Sb1+", 0.1187740462], + ["Sb1+", "V5+", 0.1187740462], + ["V5+", "Te1-", 0.0173264489], + ["Te1-", "V5+", 0.0173264489], + ["V5+", "Te1+", 0.1559104461], + ["Te1+", "V5+", 0.1559104461], + ["V5+", "I1-", 0.0604993173], + ["I1-", "V5+", 0.0604993173], + ["V5+", "I1+", 0.2736698704], + ["I1+", "V5+", 0.2736698704], + ["V5+", "Cs1+", 0.2360671378], + ["Cs1+", "V5+", 0.2360671378], + ["V5+", "La1+", -0.1787874466], + ["La1+", "V5+", -0.1787874466], + ["V5+", "Tb1+", -0.1504404893], + ["Tb1+", "V5+", -0.1504404893], + ["V5+", "Ta1+", -0.2423277525], + ["Ta1+", "V5+", -0.2423277525], + ["V5+", "Os1-", -0.2729769783], + ["Os1-", "V5+", -0.2729769783], + ["V5+", "Os1+", 0.0222930132], + ["Os1+", "V5+", 0.0222930132], + ["V5+", "Pt1-", -0.2418766086], + ["Pt1-", "V5+", -0.2418766086], + ["V5+", "Pt1+", -0.022820098], + ["Pt1+", "V5+", -0.022820098], + ["V5+", "Au1-", -0.181829284], + ["Au1-", "V5+", -0.181829284], + ["V5+", "Au1+", 0.0708718291], + ["Au1+", "V5+", 0.0708718291], + ["V5+", "Hg1+", 0.3230429712], + ["Hg1+", "V5+", 0.3230429712], + ["V5+", "Tl1+", 0.3185362311], + ["Tl1+", "V5+", 0.3185362311], + ["V5+", "Bi1+", -0.2543455056], + ["Bi1+", "V5+", -0.2543455056], + ["Cr3+", "Cr3+", 1.0], + ["Cr3+", "Cr2+", 0.5709655693], + ["Cr2+", "Cr3+", 0.5709655693], + ["Cr3+", "Cr6+", 0.2422066535], + ["Cr6+", "Cr3+", 0.2422066535], + ["Cr3+", "Cr4+", 0.704081162], + ["Cr4+", "Cr3+", 0.704081162], + ["Cr3+", "Cr5+", 0.3697299392], + ["Cr5+", "Cr3+", 0.3697299392], + ["Cr3+", "Mn2+", 0.4510948483], + ["Mn2+", "Cr3+", 0.4510948483], + ["Cr3+", "Mn3+", 0.5269676734], + ["Mn3+", "Cr3+", 0.5269676734], + ["Cr3+", "Mn4+", 0.3796698766], + ["Mn4+", "Cr3+", 0.3796698766], + ["Cr3+", "Mn7+", 0.2199626345], + ["Mn7+", "Cr3+", 0.2199626345], + ["Cr3+", "Mn6+", 0.226453272], + ["Mn6+", "Cr3+", 0.226453272], + ["Cr3+", "Mn5+", 0.2847432363], + ["Mn5+", "Cr3+", 0.2847432363], + ["Cr3+", "Fe2+", 0.425181821], + ["Fe2+", "Cr3+", 0.425181821], + ["Cr3+", "Fe3+", 0.5265606566], + ["Fe3+", "Cr3+", 0.5265606566], + ["Cr3+", "Fe4+", 0.4697400258], + ["Fe4+", "Cr3+", 0.4697400258], + ["Cr3+", "Fe6+", 0.1122027147], + ["Fe6+", "Cr3+", 0.1122027147], + ["Cr3+", "Fe5+", 0.5029096545], + ["Fe5+", "Cr3+", 0.5029096545], + ["Cr3+", "Co2+", 0.4189371556], + ["Co2+", "Cr3+", 0.4189371556], + ["Cr3+", "Co4+", 0.4633618414], + ["Co4+", "Cr3+", 0.4633618414], + ["Cr3+", "Co3+", 0.4500471137], + ["Co3+", "Cr3+", 0.4500471137], + ["Cr3+", "Ni2+", 0.4613102848], + ["Ni2+", "Cr3+", 0.4613102848], + ["Cr3+", "Ni4+", 0.3451728692], + ["Ni4+", "Cr3+", 0.3451728692], + ["Cr3+", "Ni3+", 0.5266961871], + ["Ni3+", "Cr3+", 0.5266961871], + ["Cr3+", "Cu2+", 0.5158080935], + ["Cu2+", "Cr3+", 0.5158080935], + ["Cr3+", "Cu3+", 0.1776703416], + ["Cu3+", "Cr3+", 0.1776703416], + ["Cr3+", "Zn2+", 0.4822583589], + ["Zn2+", "Cr3+", 0.4822583589], + ["Cr3+", "Ga3+", 0.5806819768], + ["Ga3+", "Cr3+", 0.5806819768], + ["Cr3+", "Ga4+", 0.1341933476], + ["Ga4+", "Cr3+", 0.1341933476], + ["Cr3+", "Ga2+", 0.1728377979], + ["Ga2+", "Cr3+", 0.1728377979], + ["Cr3+", "Ge4-", -0.070516622], + ["Ge4-", "Cr3+", -0.070516622], + ["Cr3+", "Ge4+", 0.6137053494], + ["Ge4+", "Cr3+", 0.6137053494], + ["Cr3+", "Ge2-", -0.0678988101], + ["Ge2-", "Cr3+", -0.0678988101], + ["Cr3+", "Ge2+", 0.2562601862], + ["Ge2+", "Cr3+", 0.2562601862], + ["Cr3+", "Ge3+", 0.3735856745], + ["Ge3+", "Cr3+", 0.3735856745], + ["Cr3+", "As2-", -0.0796084572], + ["As2-", "Cr3+", -0.0796084572], + ["Cr3+", "As3+", 0.3761711379], + ["As3+", "Cr3+", 0.3761711379], + ["Cr3+", "As5+", 0.3917157845], + ["As5+", "Cr3+", 0.3917157845], + ["Cr3+", "As3-", -0.079983299], + ["As3-", "Cr3+", -0.079983299], + ["Cr3+", "As2+", 0.5164305103], + ["As2+", "Cr3+", 0.5164305103], + ["Cr3+", "As4+", 0.2652813805], + ["As4+", "Cr3+", 0.2652813805], + ["Cr3+", "Se2-", 0.0631190091], + ["Se2-", "Cr3+", 0.0631190091], + ["Cr3+", "Se4+", 0.1249439339], + ["Se4+", "Cr3+", 0.1249439339], + ["Cr3+", "Se6+", 0.2344200814], + ["Se6+", "Cr3+", 0.2344200814], + ["Cr3+", "Se5+", 0.2153861816], + ["Se5+", "Cr3+", 0.2153861816], + ["Cr3+", "Se2+", 0.0583709126], + ["Se2+", "Cr3+", 0.0583709126], + ["Cr3+", "Se3+", -0.0060690878], + ["Se3+", "Cr3+", -0.0060690878], + ["Cr3+", "Br2+", 0.2453801167], + ["Br2+", "Cr3+", 0.2453801167], + ["Cr3+", "Br5+", 0.100661831], + ["Br5+", "Cr3+", 0.100661831], + ["Cr3+", "Br3+", 0.0384089098], + ["Br3+", "Cr3+", 0.0384089098], + ["Cr3+", "Sr2+", 0.3636690264], + ["Sr2+", "Cr3+", 0.3636690264], + ["Cr3+", "Y3+", 0.4471766598], + ["Y3+", "Cr3+", 0.4471766598], + ["Cr3+", "Y2+", 0.0487246544], + ["Y2+", "Cr3+", 0.0487246544], + ["Cr3+", "Zr2+", -0.0754540263], + ["Zr2+", "Cr3+", -0.0754540263], + ["Cr3+", "Zr4+", 0.5908712881], + ["Zr4+", "Cr3+", 0.5908712881], + ["Cr3+", "Zr3+", 0.1482421788], + ["Zr3+", "Cr3+", 0.1482421788], + ["Cr3+", "Nb5+", 0.4525080469], + ["Nb5+", "Cr3+", 0.4525080469], + ["Cr3+", "Nb3+", 0.4147515649], + ["Nb3+", "Cr3+", 0.4147515649], + ["Cr3+", "Nb4+", 0.4557860768], + ["Nb4+", "Cr3+", 0.4557860768], + ["Cr3+", "Nb2+", 0.1745509216], + ["Nb2+", "Cr3+", 0.1745509216], + ["Cr3+", "Nb7+", 0.1317720828], + ["Nb7+", "Cr3+", 0.1317720828], + ["Cr3+", "Mo3+", 0.4170486731], + ["Mo3+", "Cr3+", 0.4170486731], + ["Cr3+", "Mo4+", 0.4481089051], + ["Mo4+", "Cr3+", 0.4481089051], + ["Cr3+", "Mo6+", 0.4924262443], + ["Mo6+", "Cr3+", 0.4924262443], + ["Cr3+", "Mo5+", 0.1242291091], + ["Mo5+", "Cr3+", 0.1242291091], + ["Cr3+", "Mo2+", 0.3928560041], + ["Mo2+", "Cr3+", 0.3928560041], + ["Cr3+", "Tc4+", 0.1217509181], + ["Tc4+", "Cr3+", 0.1217509181], + ["Cr3+", "Tc3-", 0.0528305995], + ["Tc3-", "Cr3+", 0.0528305995], + ["Cr3+", "Tc3+", 0.3010646598], + ["Tc3+", "Cr3+", 0.3010646598], + ["Cr3+", "Tc7+", 0.1960548417], + ["Tc7+", "Cr3+", 0.1960548417], + ["Cr3+", "Tc5+", 0.1692978812], + ["Tc5+", "Cr3+", 0.1692978812], + ["Cr3+", "Tc6+", 0.1497776195], + ["Tc6+", "Cr3+", 0.1497776195], + ["Cr3+", "Tc2-", 0.1175097581], + ["Tc2-", "Cr3+", 0.1175097581], + ["Cr3+", "Tc2+", 0.0370175044], + ["Tc2+", "Cr3+", 0.0370175044], + ["Cr3+", "Ru2+", 0.0383635548], + ["Ru2+", "Cr3+", 0.0383635548], + ["Cr3+", "Ru6+", 0.1267945919], + ["Ru6+", "Cr3+", 0.1267945919], + ["Cr3+", "Ru4+", 0.2444516603], + ["Ru4+", "Cr3+", 0.2444516603], + ["Cr3+", "Ru5+", 0.3235099701], + ["Ru5+", "Cr3+", 0.3235099701], + ["Cr3+", "Ru3+", 0.171164763], + ["Ru3+", "Cr3+", 0.171164763], + ["Cr3+", "Rh4+", 0.3418238572], + ["Rh4+", "Cr3+", 0.3418238572], + ["Cr3+", "Rh3+", 0.212390124], + ["Rh3+", "Cr3+", 0.212390124], + ["Cr3+", "Pd2+", 0.288809153], + ["Pd2+", "Cr3+", 0.288809153], + ["Cr3+", "Pd4+", 0.2224120552], + ["Pd4+", "Cr3+", 0.2224120552], + ["Cr3+", "Pd3+", 0.2020381453], + ["Pd3+", "Cr3+", 0.2020381453], + ["Cr3+", "Ag3+", 0.2985565572], + ["Ag3+", "Cr3+", 0.2985565572], + ["Cr3+", "Ag2+", 0.3051588332], + ["Ag2+", "Cr3+", 0.3051588332], + ["Cr3+", "Cd2+", 0.2818274281], + ["Cd2+", "Cr3+", 0.2818274281], + ["Cr3+", "In3+", 0.6209944994], + ["In3+", "Cr3+", 0.6209944994], + ["Cr3+", "In2+", 0.209523076], + ["In2+", "Cr3+", 0.209523076], + ["Cr3+", "Sn4+", 0.520361741], + ["Sn4+", "Cr3+", 0.520361741], + ["Cr3+", "Sn3+", 0.4005228128], + ["Sn3+", "Cr3+", 0.4005228128], + ["Cr3+", "Sn2+", 0.4314084605], + ["Sn2+", "Cr3+", 0.4314084605], + ["Cr3+", "Sb5+", 0.3507510798], + ["Sb5+", "Cr3+", 0.3507510798], + ["Cr3+", "Sb2-", -0.1142444653], + ["Sb2-", "Cr3+", -0.1142444653], + ["Cr3+", "Sb3-", -0.1225153872], + ["Sb3-", "Cr3+", -0.1225153872], + ["Cr3+", "Sb3+", 0.5572826806], + ["Sb3+", "Cr3+", 0.5572826806], + ["Cr3+", "Sb4+", 0.1431575287], + ["Sb4+", "Cr3+", 0.1431575287], + ["Cr3+", "Te2-", 0.0629255141], + ["Te2-", "Cr3+", 0.0629255141], + ["Cr3+", "Te4+", 0.3237652094], + ["Te4+", "Cr3+", 0.3237652094], + ["Cr3+", "Te6+", 0.2698837448], + ["Te6+", "Cr3+", 0.2698837448], + ["Cr3+", "Te2+", -0.0220367243], + ["Te2+", "Cr3+", -0.0220367243], + ["Cr3+", "Te5+", 0.2839732309], + ["Te5+", "Cr3+", 0.2839732309], + ["Cr3+", "I3+", -0.0124283826], + ["I3+", "Cr3+", -0.0124283826], + ["Cr3+", "I7+", 0.2089512412], + ["I7+", "Cr3+", 0.2089512412], + ["Cr3+", "I5+", 0.1262200233], + ["I5+", "Cr3+", 0.1262200233], + ["Cr3+", "I2+", 0.2658347166], + ["I2+", "Cr3+", 0.2658347166], + ["Cr3+", "Ba2+", 0.5534414507], + ["Ba2+", "Cr3+", 0.5534414507], + ["Cr3+", "La3+", 0.4833461768], + ["La3+", "Cr3+", 0.4833461768], + ["Cr3+", "La2+", 0.1352736806], + ["La2+", "Cr3+", 0.1352736806], + ["Cr3+", "Ce3+", 0.3793969466], + ["Ce3+", "Cr3+", 0.3793969466], + ["Cr3+", "Ce2+", 0.2485216722], + ["Ce2+", "Cr3+", 0.2485216722], + ["Cr3+", "Ce4+", 0.2972234914], + ["Ce4+", "Cr3+", 0.2972234914], + ["Cr3+", "Pr3+", 0.4261011857], + ["Pr3+", "Cr3+", 0.4261011857], + ["Cr3+", "Pr4+", 0.3912995623], + ["Pr4+", "Cr3+", 0.3912995623], + ["Cr3+", "Pr2+", 0.2162230882], + ["Pr2+", "Cr3+", 0.2162230882], + ["Cr3+", "Nd3+", 0.5017044193], + ["Nd3+", "Cr3+", 0.5017044193], + ["Cr3+", "Nd2+", 0.0351120272], + ["Nd2+", "Cr3+", 0.0351120272], + ["Cr3+", "Pm3+", 0.4866396507], + ["Pm3+", "Cr3+", 0.4866396507], + ["Cr3+", "Sm3+", 0.542802358], + ["Sm3+", "Cr3+", 0.542802358], + ["Cr3+", "Sm2+", 0.1026572844], + ["Sm2+", "Cr3+", 0.1026572844], + ["Cr3+", "Eu2+", 0.2981061029], + ["Eu2+", "Cr3+", 0.2981061029], + ["Cr3+", "Eu3+", 0.2910374376], + ["Eu3+", "Cr3+", 0.2910374376], + ["Cr3+", "Gd2+", 0.117455139], + ["Gd2+", "Cr3+", 0.117455139], + ["Cr3+", "Gd3+", 0.4566080794], + ["Gd3+", "Cr3+", 0.4566080794], + ["Cr3+", "Tb3+", 0.4911252137], + ["Tb3+", "Cr3+", 0.4911252137], + ["Cr3+", "Tb2+", 0.0958004893], + ["Tb2+", "Cr3+", 0.0958004893], + ["Cr3+", "Tb4+", 0.3263877374], + ["Tb4+", "Cr3+", 0.3263877374], + ["Cr3+", "Dy3+", 0.3821713701], + ["Dy3+", "Cr3+", 0.3821713701], + ["Cr3+", "Dy2+", -0.0035710523], + ["Dy2+", "Cr3+", -0.0035710523], + ["Cr3+", "Ho3+", 0.5025360089], + ["Ho3+", "Cr3+", 0.5025360089], + ["Cr3+", "Ho2+", 0.1641321787], + ["Ho2+", "Cr3+", 0.1641321787], + ["Cr3+", "Er3+", 0.4708765636], + ["Er3+", "Cr3+", 0.4708765636], + ["Cr3+", "Tm3+", 0.4709044568], + ["Tm3+", "Cr3+", 0.4709044568], + ["Cr3+", "Tm2+", -0.0051115282], + ["Tm2+", "Cr3+", -0.0051115282], + ["Cr3+", "Yb3+", 0.3701979323], + ["Yb3+", "Cr3+", 0.3701979323], + ["Cr3+", "Yb2+", 0.139924177], + ["Yb2+", "Cr3+", 0.139924177], + ["Cr3+", "Lu3+", 0.3452702481], + ["Lu3+", "Cr3+", 0.3452702481], + ["Cr3+", "Hf3+", 0.2789282515], + ["Hf3+", "Cr3+", 0.2789282515], + ["Cr3+", "Hf2+", 0.0669551085], + ["Hf2+", "Cr3+", 0.0669551085], + ["Cr3+", "Hf4+", 0.4994695634], + ["Hf4+", "Cr3+", 0.4994695634], + ["Cr3+", "Ta5+", 0.5072923797], + ["Ta5+", "Cr3+", 0.5072923797], + ["Cr3+", "Ta3+", 0.2515623213], + ["Ta3+", "Cr3+", 0.2515623213], + ["Cr3+", "Ta4+", 0.5133888469], + ["Ta4+", "Cr3+", 0.5133888469], + ["Cr3+", "Ta2+", 0.1254014767], + ["Ta2+", "Cr3+", 0.1254014767], + ["Cr3+", "W6+", 0.3781202684], + ["W6+", "Cr3+", 0.3781202684], + ["Cr3+", "W4+", 0.3723013742], + ["W4+", "Cr3+", 0.3723013742], + ["Cr3+", "W2+", 0.2215692269], + ["W2+", "Cr3+", 0.2215692269], + ["Cr3+", "W3+", 0.3482354413], + ["W3+", "Cr3+", 0.3482354413], + ["Cr3+", "W5+", 0.3074343363], + ["W5+", "Cr3+", 0.3074343363], + ["Cr3+", "Re5+", 0.3046419085], + ["Re5+", "Cr3+", 0.3046419085], + ["Cr3+", "Re3+", 0.3260505825], + ["Re3+", "Cr3+", 0.3260505825], + ["Cr3+", "Re6+", 0.1479733044], + ["Re6+", "Cr3+", 0.1479733044], + ["Cr3+", "Re2+", 0.1494027441], + ["Re2+", "Cr3+", 0.1494027441], + ["Cr3+", "Re4+", 0.3994572935], + ["Re4+", "Cr3+", 0.3994572935], + 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0.2639103362], + ["U5+", "Cr3+", 0.2639103362], + ["Cr3+", "Np6+", 0.2376221247], + ["Np6+", "Cr3+", 0.2376221247], + ["Cr3+", "Np4+", 0.2855801846], + ["Np4+", "Cr3+", 0.2855801846], + ["Cr3+", "Np3+", 0.2071966343], + ["Np3+", "Cr3+", 0.2071966343], + ["Cr3+", "Np7+", 0.1263667103], + ["Np7+", "Cr3+", 0.1263667103], + ["Cr3+", "Np5+", 0.499723732], + ["Np5+", "Cr3+", 0.499723732], + ["Cr3+", "Pu7+", 0.171543446], + ["Pu7+", "Cr3+", 0.171543446], + ["Cr3+", "Pu6+", 0.0469241315], + ["Pu6+", "Cr3+", 0.0469241315], + ["Cr3+", "Pu3+", 0.3080659672], + ["Pu3+", "Cr3+", 0.3080659672], + ["Cr3+", "Pu4+", 0.2201078934], + ["Pu4+", "Cr3+", 0.2201078934], + ["Cr3+", "Pu5+", 0.1324279457], + ["Pu5+", "Cr3+", 0.1324279457], + ["Cr3+", "H1+", 0.0610005054], + ["H1+", "Cr3+", 0.0610005054], + ["Cr3+", "H1-", -0.066831476], + ["H1-", "Cr3+", -0.066831476], + ["Cr3+", "Li1+", 0.5160695685], + ["Li1+", "Cr3+", 0.5160695685], + ["Cr3+", "B1+", -0.151206901], + ["B1+", "Cr3+", -0.151206901], + ["Cr3+", 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0.1153975759], + ["Cr3+", "Zr1+", 0.0227894404], + ["Zr1+", "Cr3+", 0.0227894404], + ["Cr3+", "Nb1+", 0.2927127559], + ["Nb1+", "Cr3+", 0.2927127559], + ["Cr3+", "Tc1-", -0.0683153902], + ["Tc1-", "Cr3+", -0.0683153902], + ["Cr3+", "Tc1+", 0.3279019101], + ["Tc1+", "Cr3+", 0.3279019101], + ["Cr3+", "Rh1+", 0.0353173868], + ["Rh1+", "Cr3+", 0.0353173868], + ["Cr3+", "Ag1+", 0.518000316], + ["Ag1+", "Cr3+", 0.518000316], + ["Cr3+", "In1+", -0.01786875], + ["In1+", "Cr3+", -0.01786875], + ["Cr3+", "Sb1-", -0.0455138682], + ["Sb1-", "Cr3+", -0.0455138682], + ["Cr3+", "Sb1+", 0.2651575314], + ["Sb1+", "Cr3+", 0.2651575314], + ["Cr3+", "Te1-", 0.0600989078], + ["Te1-", "Cr3+", 0.0600989078], + ["Cr3+", "Te1+", 0.1225847871], + ["Te1+", "Cr3+", 0.1225847871], + ["Cr3+", "I1-", -0.0907309463], + ["I1-", "Cr3+", -0.0907309463], + ["Cr3+", "I1+", -0.0778063953], + ["I1+", "Cr3+", -0.0778063953], + ["Cr3+", "Cs1+", 0.3156489652], + ["Cs1+", "Cr3+", 0.3156489652], + ["Cr3+", "La1+", 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0.4470878617], + ["Cr2+", "Y3+", 0.4671449466], + ["Y3+", "Cr2+", 0.4671449466], + ["Cr2+", "Y2+", 0.0971181109], + ["Y2+", "Cr2+", 0.0971181109], + ["Cr2+", "Zr2+", 0.109342924], + ["Zr2+", "Cr2+", 0.109342924], + ["Cr2+", "Zr4+", 0.43201091], + ["Zr4+", "Cr2+", 0.43201091], + ["Cr2+", "Zr3+", 0.3629083975], + ["Zr3+", "Cr2+", 0.3629083975], + ["Cr2+", "Nb5+", 0.4146958946], + ["Nb5+", "Cr2+", 0.4146958946], + ["Cr2+", "Nb3+", 0.4534619802], + ["Nb3+", "Cr2+", 0.4534619802], + ["Cr2+", "Nb4+", 0.3782510418], + ["Nb4+", "Cr2+", 0.3782510418], + ["Cr2+", "Nb2+", 0.4506852523], + ["Nb2+", "Cr2+", 0.4506852523], + ["Cr2+", "Nb7+", 0.1864615227], + ["Nb7+", "Cr2+", 0.1864615227], + ["Cr2+", "Mo3+", 0.5126149289], + ["Mo3+", "Cr2+", 0.5126149289], + ["Cr2+", "Mo4+", 0.4754040543], + ["Mo4+", "Cr2+", 0.4754040543], + ["Cr2+", "Mo6+", 0.4872622081], + ["Mo6+", "Cr2+", 0.4872622081], + ["Cr2+", "Mo5+", 0.1381968227], + ["Mo5+", "Cr2+", 0.1381968227], + ["Cr2+", "Mo2+", 0.4074827245], + ["Mo2+", "Cr2+", 0.4074827245], + ["Cr2+", "Tc4+", 0.1378588421], + ["Tc4+", "Cr2+", 0.1378588421], + ["Cr2+", "Tc3-", 0.0738278776], + ["Tc3-", "Cr2+", 0.0738278776], + ["Cr2+", "Tc3+", 0.1807797861], + ["Tc3+", "Cr2+", 0.1807797861], + ["Cr2+", "Tc7+", 0.1827392017], + ["Tc7+", "Cr2+", 0.1827392017], + ["Cr2+", "Tc5+", 0.4288471769], + ["Tc5+", "Cr2+", 0.4288471769], + ["Cr2+", "Tc6+", 0.0370756259], + ["Tc6+", "Cr2+", 0.0370756259], + ["Cr2+", "Tc2-", 0.0324924792], + ["Tc2-", "Cr2+", 0.0324924792], + ["Cr2+", "Tc2+", 0.1917666794], + ["Tc2+", "Cr2+", 0.1917666794], + ["Cr2+", "Ru2+", 0.189055775], + ["Ru2+", "Cr2+", 0.189055775], + ["Cr2+", "Ru6+", 0.1868556273], + ["Ru6+", "Cr2+", 0.1868556273], + ["Cr2+", "Ru4+", 0.4231430537], + ["Ru4+", "Cr2+", 0.4231430537], + ["Cr2+", "Ru5+", 0.4625585125], + ["Ru5+", "Cr2+", 0.4625585125], + ["Cr2+", "Ru3+", 0.2633197365], + ["Ru3+", "Cr2+", 0.2633197365], + ["Cr2+", "Rh4+", 0.1177997845], + ["Rh4+", "Cr2+", 0.1177997845], + ["Cr2+", "Rh3+", 0.3321013341], + ["Rh3+", "Cr2+", 0.3321013341], + ["Cr2+", "Pd2+", 0.3162431824], + ["Pd2+", "Cr2+", 0.3162431824], + ["Cr2+", "Pd4+", 0.0934968909], + ["Pd4+", "Cr2+", 0.0934968909], + ["Cr2+", "Pd3+", 0.2343764901], + ["Pd3+", "Cr2+", 0.2343764901], + ["Cr2+", "Ag3+", 0.1931863723], + ["Ag3+", "Cr2+", 0.1931863723], + ["Cr2+", "Ag2+", 0.1992097894], + ["Ag2+", "Cr2+", 0.1992097894], + ["Cr2+", "Cd2+", 0.4424248097], + ["Cd2+", "Cr2+", 0.4424248097], + ["Cr2+", "In3+", 0.6165959331], + ["In3+", "Cr2+", 0.6165959331], + ["Cr2+", "In2+", 0.1727300567], + ["In2+", "Cr2+", 0.1727300567], + ["Cr2+", "Sn4+", 0.3730312333], + ["Sn4+", "Cr2+", 0.3730312333], + ["Cr2+", "Sn3+", 0.2029801157], + ["Sn3+", "Cr2+", 0.2029801157], + ["Cr2+", "Sn2+", 0.3993513766], + ["Sn2+", "Cr2+", 0.3993513766], + ["Cr2+", "Sb5+", 0.33929294], + ["Sb5+", "Cr2+", 0.33929294], + ["Cr2+", "Sb2-", -0.1743211343], + ["Sb2-", "Cr2+", -0.1743211343], + ["Cr2+", "Sb3-", -0.0895070144], + ["Sb3-", "Cr2+", -0.0895070144], + ["Cr2+", "Sb3+", 0.4185243895], + ["Sb3+", "Cr2+", 0.4185243895], + ["Cr2+", "Sb4+", 0.1993905282], + ["Sb4+", "Cr2+", 0.1993905282], + ["Cr2+", "Te2-", 0.2523181409], + ["Te2-", "Cr2+", 0.2523181409], + ["Cr2+", "Te4+", 0.3850930455], + ["Te4+", "Cr2+", 0.3850930455], + ["Cr2+", "Te6+", 0.286283243], + ["Te6+", "Cr2+", 0.286283243], + ["Cr2+", "Te2+", 0.1584682129], + ["Te2+", "Cr2+", 0.1584682129], + ["Cr2+", "Te5+", 0.2573164803], + ["Te5+", "Cr2+", 0.2573164803], + ["Cr2+", "I3+", 0.0535067662], + ["I3+", "Cr2+", 0.0535067662], + ["Cr2+", "I7+", 0.2169239159], + ["I7+", "Cr2+", 0.2169239159], + ["Cr2+", "I5+", 0.1675701228], + ["I5+", "Cr2+", 0.1675701228], + ["Cr2+", "I2+", 0.2338657925], + ["I2+", "Cr2+", 0.2338657925], + ["Cr2+", "Ba2+", 0.4310420913], + ["Ba2+", "Cr2+", 0.4310420913], + ["Cr2+", "La3+", 0.4507571099], + ["La3+", "Cr2+", 0.4507571099], + ["Cr2+", "La2+", 0.2228616022], + ["La2+", "Cr2+", 0.2228616022], + ["Cr2+", "Ce3+", 0.3287209066], + ["Ce3+", "Cr2+", 0.3287209066], + ["Cr2+", "Ce2+", 0.2877262188], + ["Ce2+", "Cr2+", 0.2877262188], + ["Cr2+", "Ce4+", 0.1769604486], + ["Ce4+", "Cr2+", 0.1769604486], + ["Cr2+", "Pr3+", 0.4049700377], + ["Pr3+", "Cr2+", 0.4049700377], + ["Cr2+", "Pr4+", 0.3035652811], + ["Pr4+", "Cr2+", 0.3035652811], + ["Cr2+", "Pr2+", 0.1921484154], + ["Pr2+", "Cr2+", 0.1921484154], + ["Cr2+", "Nd3+", 0.3645389069], + ["Nd3+", "Cr2+", 0.3645389069], + ["Cr2+", "Nd2+", 0.2730687975], + ["Nd2+", "Cr2+", 0.2730687975], + ["Cr2+", "Pm3+", 0.2414949026], + ["Pm3+", "Cr2+", 0.2414949026], + ["Cr2+", "Sm3+", 0.3150800374], + ["Sm3+", "Cr2+", 0.3150800374], + ["Cr2+", "Sm2+", 0.2507889135], + ["Sm2+", "Cr2+", 0.2507889135], + ["Cr2+", "Eu2+", 0.4036039878], + ["Eu2+", "Cr2+", 0.4036039878], + ["Cr2+", "Eu3+", 0.2972312799], + ["Eu3+", "Cr2+", 0.2972312799], + ["Cr2+", "Gd2+", 0.1585324544], + ["Gd2+", "Cr2+", 0.1585324544], + ["Cr2+", "Gd3+", 0.2782528207], + ["Gd3+", "Cr2+", 0.2782528207], + ["Cr2+", "Tb3+", 0.3134538839], + ["Tb3+", "Cr2+", 0.3134538839], + ["Cr2+", "Tb2+", 0.1439638113], + ["Tb2+", "Cr2+", 0.1439638113], + ["Cr2+", "Tb4+", 0.2934504774], + ["Tb4+", "Cr2+", 0.2934504774], + ["Cr2+", "Dy3+", 0.3119630658], + ["Dy3+", "Cr2+", 0.3119630658], + ["Cr2+", "Dy2+", 0.2415326426], + ["Dy2+", "Cr2+", 0.2415326426], + ["Cr2+", "Ho3+", 0.3185116867], + ["Ho3+", "Cr2+", 0.3185116867], + ["Cr2+", "Ho2+", 0.3696769851], + ["Ho2+", "Cr2+", 0.3696769851], + ["Cr2+", "Er3+", 0.4183031779], + ["Er3+", "Cr2+", 0.4183031779], + ["Cr2+", "Tm3+", 0.3215760461], + ["Tm3+", "Cr2+", 0.3215760461], + ["Cr2+", "Tm2+", 0.256753838], + ["Tm2+", "Cr2+", 0.256753838], + ["Cr2+", "Yb3+", 0.2429674049], + ["Yb3+", "Cr2+", 0.2429674049], + ["Cr2+", "Yb2+", 0.1396627979], + ["Yb2+", "Cr2+", 0.1396627979], + ["Cr2+", "Lu3+", 0.2050354666], + ["Lu3+", "Cr2+", 0.2050354666], + ["Cr2+", "Hf3+", 0.239851767], + ["Hf3+", "Cr2+", 0.239851767], + ["Cr2+", "Hf2+", 0.1368031244], + ["Hf2+", "Cr2+", 0.1368031244], + ["Cr2+", "Hf4+", 0.4655411615], + ["Hf4+", "Cr2+", 0.4655411615], + ["Cr2+", "Ta5+", 0.5090577105], + ["Ta5+", "Cr2+", 0.5090577105], + ["Cr2+", "Ta3+", 0.224096244], + ["Ta3+", "Cr2+", 0.224096244], + ["Cr2+", "Ta4+", 0.3912640928], + ["Ta4+", "Cr2+", 0.3912640928], + ["Cr2+", "Ta2+", 0.1717377712], + ["Ta2+", "Cr2+", 0.1717377712], + ["Cr2+", "W6+", 0.3928020941], + ["W6+", "Cr2+", 0.3928020941], + ["Cr2+", "W4+", 0.5003917199], + ["W4+", "Cr2+", 0.5003917199], + ["Cr2+", "W2+", 0.3520126144], + ["W2+", "Cr2+", 0.3520126144], + ["Cr2+", "W3+", 0.4551194015], + ["W3+", "Cr2+", 0.4551194015], + ["Cr2+", "W5+", 0.29965513], + ["W5+", "Cr2+", 0.29965513], + ["Cr2+", "Re5+", 0.3727850847], + ["Re5+", "Cr2+", 0.3727850847], + ["Cr2+", "Re3+", 0.2821811972], + ["Re3+", "Cr2+", 0.2821811972], + ["Cr2+", "Re6+", 0.1121068508], + ["Re6+", "Cr2+", 0.1121068508], + ["Cr2+", "Re2+", 0.1886596794], + ["Re2+", "Cr2+", 0.1886596794], + ["Cr2+", "Re4+", 0.4953082379], + ["Re4+", "Cr2+", 0.4953082379], + ["Cr2+", "Re7+", 0.1299519313], + ["Re7+", "Cr2+", 0.1299519313], + ["Cr2+", "Os7+", 0.0778939067], + ["Os7+", "Cr2+", 0.0778939067], + ["Cr2+", "Os6+", 0.154919834], + ["Os6+", "Cr2+", 0.154919834], + ["Cr2+", "Os5+", 0.2747317012], + ["Os5+", "Cr2+", 0.2747317012], + ["Cr2+", "Os2-", -0.0192438903], + ["Os2-", "Cr2+", -0.0192438903], + ["Cr2+", "Os3+", 0.3516193099], + ["Os3+", "Cr2+", 0.3516193099], + ["Cr2+", "Os4+", 0.3188118153], + ["Os4+", "Cr2+", 0.3188118153], + ["Cr2+", "Os8+", 0.2226585808], + ["Os8+", "Cr2+", 0.2226585808], + ["Cr2+", "Os2+", 0.211717032], + ["Os2+", "Cr2+", 0.211717032], + ["Cr2+", "Ir3+", 0.2675951806], + ["Ir3+", "Cr2+", 0.2675951806], + ["Cr2+", "Ir4+", 0.2970911835], + ["Ir4+", "Cr2+", 0.2970911835], + ["Cr2+", "Ir5+", 0.2407951344], + ["Ir5+", "Cr2+", 0.2407951344], + ["Cr2+", "Ir6+", 0.0455556154], + ["Ir6+", "Cr2+", 0.0455556154], + ["Cr2+", "Pt2+", 0.3201452947], + ["Pt2+", "Cr2+", 0.3201452947], + ["Cr2+", "Pt2-", -0.0314316478], + ["Pt2-", "Cr2+", -0.0314316478], + ["Cr2+", "Pt4+", 0.4197790207], + ["Pt4+", "Cr2+", 0.4197790207], + ["Cr2+", "Pt3+", 0.3988279082], + ["Pt3+", "Cr2+", 0.3988279082], + ["Cr2+", "Pt5+", 0.2006752298], + ["Pt5+", "Cr2+", 0.2006752298], + ["Cr2+", "Pt6+", 0.1660642548], + ["Pt6+", "Cr2+", 0.1660642548], + ["Cr2+", "Au2+", 0.1506256019], + ["Au2+", "Cr2+", 0.1506256019], + ["Cr2+", "Au3+", 0.3140902693], + ["Au3+", "Cr2+", 0.3140902693], + ["Cr2+", "Au5+", 0.2071955587], + ["Au5+", "Cr2+", 0.2071955587], + ["Cr2+", "Au4+", 0.0912818663], + ["Au4+", "Cr2+", 0.0912818663], + ["Cr2+", "Hg2+", 0.2277946795], + ["Hg2+", "Cr2+", 0.2277946795], + ["Cr2+", "Tl3+", 0.3960866627], + ["Tl3+", "Cr2+", 0.3960866627], + ["Cr2+", "Tl2+", 0.3358326005], + ["Tl2+", "Cr2+", 0.3358326005], + ["Cr2+", "Pb2+", 0.5837624272], + ["Pb2+", "Cr2+", 0.5837624272], + ["Cr2+", "Pb3+", 0.1519870924], + ["Pb3+", "Cr2+", 0.1519870924], + ["Cr2+", "Pb4+", 0.1556503154], + ["Pb4+", "Cr2+", 0.1556503154], + ["Cr2+", "Bi3+", 0.5717525945], + ["Bi3+", "Cr2+", 0.5717525945], + ["Cr2+", "Bi5+", 0.2674012384], + ["Bi5+", "Cr2+", 0.2674012384], + ["Cr2+", "Bi2+", 0.2633958992], + ["Bi2+", "Cr2+", 0.2633958992], + ["Cr2+", "Bi3-", 0.1595023058], + ["Bi3-", "Cr2+", 0.1595023058], + ["Cr2+", "Bi4+", 0.2528520029], + ["Bi4+", "Cr2+", 0.2528520029], + ["Cr2+", "Ac3+", 0.2800067813], + ["Ac3+", "Cr2+", 0.2800067813], + ["Cr2+", "Th4+", 0.2605121179], + ["Th4+", "Cr2+", 0.2605121179], + ["Cr2+", "Th3+", 0.1363964614], + ["Th3+", "Cr2+", 0.1363964614], + ["Cr2+", "Pa4+", 0.1688354725], + ["Pa4+", "Cr2+", 0.1688354725], + ["Cr2+", "Pa5+", 0.2031014662], + ["Pa5+", "Cr2+", 0.2031014662], + ["Cr2+", "Pa3+", 0.021096724], + ["Pa3+", "Cr2+", 0.021096724], + ["Cr2+", "U6+", 0.3322477776], + ["U6+", "Cr2+", 0.3322477776], + ["Cr2+", "U4+", 0.167390016], + ["U4+", "Cr2+", 0.167390016], + ["Cr2+", "U3+", 0.1687918512], + ["U3+", "Cr2+", 0.1687918512], + ["Cr2+", "U2+", 0.2804046112], + ["U2+", "Cr2+", 0.2804046112], + ["Cr2+", "U5+", 0.1916125975], + ["U5+", "Cr2+", 0.1916125975], + ["Cr2+", "Np6+", 0.2240191586], + ["Np6+", "Cr2+", 0.2240191586], + ["Cr2+", "Np4+", 0.2158437835], + ["Np4+", "Cr2+", 0.2158437835], + ["Cr2+", "Np3+", 0.1083651122], + ["Np3+", "Cr2+", 0.1083651122], + ["Cr2+", "Np7+", 0.2076796922], + ["Np7+", "Cr2+", 0.2076796922], + ["Cr2+", "Np5+", 0.3676186743], + ["Np5+", "Cr2+", 0.3676186743], + ["Cr2+", "Pu7+", 0.1535245409], + ["Pu7+", "Cr2+", 0.1535245409], + ["Cr2+", "Pu6+", 0.2556018115], + ["Pu6+", "Cr2+", 0.2556018115], + ["Cr2+", "Pu3+", 0.2857340503], + ["Pu3+", "Cr2+", 0.2857340503], + ["Cr2+", "Pu4+", 0.2437169806], + ["Pu4+", "Cr2+", 0.2437169806], + ["Cr2+", "Pu5+", 0.2524845915], + ["Pu5+", "Cr2+", 0.2524845915], + ["Cr2+", "H1+", 0.1421271949], + ["H1+", "Cr2+", 0.1421271949], + ["Cr2+", "H1-", 0.1212116366], + ["H1-", "Cr2+", 0.1212116366], + ["Cr2+", "Li1+", 0.4320063325], + ["Li1+", "Cr2+", 0.4320063325], + ["Cr2+", "B1+", 0.1141035046], + ["B1+", "Cr2+", 0.1141035046], + ["Cr2+", "B1-", -0.1854194923], + ["B1-", "Cr2+", -0.1854194923], + ["Cr2+", "C1-", -0.051621285], + ["C1-", "Cr2+", -0.051621285], + ["Cr2+", "C1+", 0.3389638288], + ["C1+", "Cr2+", 0.3389638288], + ["Cr2+", "N1-", -0.0482395571], + ["N1-", "Cr2+", -0.0482395571], + ["Cr2+", "N1+", 0.1769822166], + ["N1+", "Cr2+", 0.1769822166], + ["Cr2+", "O1-", 0.0643968121], + ["O1-", "Cr2+", 0.0643968121], + ["Cr2+", "F1-", 0.1153101872], + ["F1-", "Cr2+", 0.1153101872], + ["Cr2+", "Na1+", 0.4156583894], + ["Na1+", "Cr2+", 0.4156583894], + ["Cr2+", "Si1-", -0.038516251], + ["Si1-", "Cr2+", -0.038516251], + ["Cr2+", "P1+", 0.0461631865], + ["P1+", "Cr2+", 0.0461631865], + ["Cr2+", "P1-", -0.1387015049], + ["P1-", "Cr2+", -0.1387015049], + ["Cr2+", "S1-", 0.0362130891], + ["S1-", "Cr2+", 0.0362130891], + ["Cr2+", "S1+", 0.0724335303], + ["S1+", "Cr2+", 0.0724335303], + ["Cr2+", "Cl1-", 0.0772606418], + ["Cl1-", "Cr2+", 0.0772606418], + ["Cr2+", "K1+", 0.1748798274], + ["K1+", "Cr2+", 0.1748798274], + ["Cr2+", "Sc1+", 0.2224740187], + ["Sc1+", "Cr2+", 0.2224740187], + ["Cr2+", "Mn1+", 0.4402013521], + ["Mn1+", "Cr2+", 0.4402013521], + ["Cr2+", "Fe1+", 0.3372927933], + ["Fe1+", "Cr2+", 0.3372927933], + ["Cr2+", "Co1+", 0.373153185], + ["Co1+", "Cr2+", 0.373153185], + ["Cr2+", "Ni1+", 0.3137694969], + ["Ni1+", "Cr2+", 0.3137694969], + ["Cr2+", "Cu1+", 0.3586766496], + ["Cu1+", "Cr2+", 0.3586766496], + ["Cr2+", "Ga1+", 0.2337279873], + ["Ga1+", "Cr2+", 0.2337279873], + ["Cr2+", "As1-", -0.0216481561], + ["As1-", "Cr2+", -0.0216481561], + ["Cr2+", "As1+", 0.2786769388], + ["As1+", "Cr2+", 0.2786769388], + ["Cr2+", "Se1-", -0.0126776181], + ["Se1-", "Cr2+", -0.0126776181], + ["Cr2+", "Se1+", 0.2290161697], + ["Se1+", "Cr2+", 0.2290161697], + ["Cr2+", "Br1-", 0.1068394672], + ["Br1-", "Cr2+", 0.1068394672], + ["Cr2+", "Br1+", 0.0398527219], + ["Br1+", "Cr2+", 0.0398527219], + ["Cr2+", "Rb1+", 0.2423110727], + ["Rb1+", "Cr2+", 0.2423110727], + ["Cr2+", "Y1+", 0.2096906057], + ["Y1+", "Cr2+", 0.2096906057], + ["Cr2+", "Zr1+", 0.0749323479], + ["Zr1+", "Cr2+", 0.0749323479], + ["Cr2+", "Nb1+", 0.4604784792], + ["Nb1+", "Cr2+", 0.4604784792], + ["Cr2+", "Tc1-", -0.0125545764], + ["Tc1-", "Cr2+", -0.0125545764], + ["Cr2+", "Tc1+", 0.352206181], + ["Tc1+", "Cr2+", 0.352206181], + ["Cr2+", "Rh1+", 0.1595420649], + ["Rh1+", "Cr2+", 0.1595420649], + ["Cr2+", "Ag1+", 0.5423537844], + ["Ag1+", "Cr2+", 0.5423537844], + ["Cr2+", "In1+", 0.0868661245], + ["In1+", "Cr2+", 0.0868661245], + ["Cr2+", "Sb1-", -0.0540969639], + ["Sb1-", "Cr2+", -0.0540969639], + ["Cr2+", "Sb1+", 0.198498599], + ["Sb1+", "Cr2+", 0.198498599], + ["Cr2+", "Te1-", 0.120907896], + ["Te1-", "Cr2+", 0.120907896], + ["Cr2+", "Te1+", 0.1930245588], + ["Te1+", "Cr2+", 0.1930245588], + ["Cr2+", "I1-", 0.0735965355], + ["I1-", "Cr2+", 0.0735965355], + ["Cr2+", "I1+", 0.0017037917], + ["I1+", "Cr2+", 0.0017037917], + ["Cr2+", "Cs1+", 0.1819492015], + ["Cs1+", "Cr2+", 0.1819492015], + ["Cr2+", "La1+", 0.0834544526], + ["La1+", "Cr2+", 0.0834544526], + ["Cr2+", "Tb1+", 0.0790391526], + ["Tb1+", "Cr2+", 0.0790391526], + ["Cr2+", "Ta1+", 0.2985214537], + ["Ta1+", "Cr2+", 0.2985214537], + ["Cr2+", "Os1-", 0.0691560455], + ["Os1-", "Cr2+", 0.0691560455], + ["Cr2+", "Os1+", 0.0785592343], + ["Os1+", "Cr2+", 0.0785592343], + ["Cr2+", "Pt1-", 0.0674746025], + ["Pt1-", "Cr2+", 0.0674746025], + ["Cr2+", "Pt1+", 0.1581492642], + ["Pt1+", "Cr2+", 0.1581492642], + ["Cr2+", "Au1-", -0.2382247742], + ["Au1-", "Cr2+", -0.2382247742], + ["Cr2+", "Au1+", 0.2300678082], + ["Au1+", "Cr2+", 0.2300678082], + ["Cr2+", "Hg1+", 0.3692562511], + ["Hg1+", "Cr2+", 0.3692562511], + ["Cr2+", "Tl1+", 0.4407254281], + ["Tl1+", "Cr2+", 0.4407254281], + ["Cr2+", "Bi1+", 0.1474527177], + ["Bi1+", "Cr2+", 0.1474527177], + ["Cr6+", "Cr6+", 1.0], + ["Cr6+", "Cr4+", 0.4286754411], + ["Cr4+", "Cr6+", 0.4286754411], + ["Cr6+", "Cr5+", 0.6216468078], + ["Cr5+", "Cr6+", 0.6216468078], + ["Cr6+", "Mn2+", 0.3266481112], + ["Mn2+", "Cr6+", 0.3266481112], + ["Cr6+", "Mn3+", 0.5112319624], + ["Mn3+", "Cr6+", 0.5112319624], + ["Cr6+", "Mn4+", 0.611820353], + ["Mn4+", "Cr6+", 0.611820353], + ["Cr6+", "Mn7+", 0.5261830789], + ["Mn7+", "Cr6+", 0.5261830789], + ["Cr6+", "Mn6+", 0.4420732151], + ["Mn6+", "Cr6+", 0.4420732151], + ["Cr6+", "Mn5+", 0.6059939478], + ["Mn5+", "Cr6+", 0.6059939478], + ["Cr6+", "Fe2+", 0.3270683544], + ["Fe2+", "Cr6+", 0.3270683544], + ["Cr6+", "Fe3+", 0.4400268205], + ["Fe3+", "Cr6+", 0.4400268205], + ["Cr6+", "Fe4+", 0.4311793203], + ["Fe4+", "Cr6+", 0.4311793203], + ["Cr6+", "Fe6+", 0.2273251765], + ["Fe6+", "Cr6+", 0.2273251765], + ["Cr6+", "Fe5+", 0.0673762259], + ["Fe5+", "Cr6+", 0.0673762259], + ["Cr6+", "Co2+", 0.4542550398], + ["Co2+", "Cr6+", 0.4542550398], + ["Cr6+", "Co4+", 0.5268186863], + ["Co4+", "Cr6+", 0.5268186863], + ["Cr6+", "Co3+", 0.5467272896], + ["Co3+", "Cr6+", 0.5467272896], + ["Cr6+", "Ni2+", 0.4928659655], + ["Ni2+", "Cr6+", 0.4928659655], + ["Cr6+", "Ni4+", 0.3533598673], + ["Ni4+", "Cr6+", 0.3533598673], + ["Cr6+", "Ni3+", 0.5239594761], + ["Ni3+", "Cr6+", 0.5239594761], + ["Cr6+", "Cu2+", 0.335110195], + ["Cu2+", "Cr6+", 0.335110195], + ["Cr6+", "Cu3+", 0.4508496801], + ["Cu3+", "Cr6+", 0.4508496801], + ["Cr6+", "Zn2+", 0.2676173023], + ["Zn2+", "Cr6+", 0.2676173023], + ["Cr6+", "Ga3+", 0.2526870283], + ["Ga3+", "Cr6+", 0.2526870283], + ["Cr6+", "Ga4+", 0.3225092389], + ["Ga4+", "Cr6+", 0.3225092389], + ["Cr6+", "Ga2+", -0.1039815412], + ["Ga2+", "Cr6+", -0.1039815412], + ["Cr6+", "Ge4-", 0.0881069546], + ["Ge4-", "Cr6+", 0.0881069546], + ["Cr6+", "Ge4+", 0.40013489], + ["Ge4+", "Cr6+", 0.40013489], + ["Cr6+", "Ge2-", 0.1449916532], + ["Ge2-", "Cr6+", 0.1449916532], + ["Cr6+", "Ge2+", 0.1747946056], + ["Ge2+", "Cr6+", 0.1747946056], + ["Cr6+", "Ge3+", 0.2030589171], + ["Ge3+", "Cr6+", 0.2030589171], + ["Cr6+", "As2-", 0.1438281773], + ["As2-", "Cr6+", 0.1438281773], + ["Cr6+", "As3+", -0.1473988361], + ["As3+", "Cr6+", -0.1473988361], + ["Cr6+", "As5+", 0.1953999794], + ["As5+", "Cr6+", 0.1953999794], + ["Cr6+", "As3-", 0.079402013], + ["As3-", "Cr6+", 0.079402013], + ["Cr6+", "As2+", -0.0617417095], + ["As2+", "Cr6+", -0.0617417095], + ["Cr6+", "As4+", 0.2075914178], + ["As4+", "Cr6+", 0.2075914178], + ["Cr6+", "Se2-", 0.0030529611], + ["Se2-", "Cr6+", 0.0030529611], + ["Cr6+", "Se4+", 0.5037538212], + ["Se4+", "Cr6+", 0.5037538212], + ["Cr6+", "Se6+", 0.5442404117], + ["Se6+", "Cr6+", 0.5442404117], + ["Cr6+", "Se5+", 0.5592249313], + ["Se5+", "Cr6+", 0.5592249313], + ["Cr6+", "Se2+", 0.0387487439], + ["Se2+", "Cr6+", 0.0387487439], + ["Cr6+", "Se3+", 0.4221807317], + ["Se3+", "Cr6+", 0.4221807317], + ["Cr6+", "Br2+", 0.2201028871], + ["Br2+", "Cr6+", 0.2201028871], + ["Cr6+", "Br5+", 0.4579671779], + ["Br5+", "Cr6+", 0.4579671779], + ["Cr6+", "Br3+", 0.4809911801], + ["Br3+", "Cr6+", 0.4809911801], + ["Cr6+", "Sr2+", 0.4911780523], + ["Sr2+", "Cr6+", 0.4911780523], + ["Cr6+", "Y3+", 0.2461005955], + ["Y3+", "Cr6+", 0.2461005955], + ["Cr6+", "Y2+", 0.5173198217], + ["Y2+", "Cr6+", 0.5173198217], + ["Cr6+", "Zr2+", -0.2818578101], + ["Zr2+", "Cr6+", -0.2818578101], + ["Cr6+", "Zr4+", 0.3260207996], + ["Zr4+", "Cr6+", 0.3260207996], + ["Cr6+", "Zr3+", -0.0554169481], + ["Zr3+", "Cr6+", -0.0554169481], + ["Cr6+", "Nb5+", 0.4712113105], + ["Nb5+", "Cr6+", 0.4712113105], + ["Cr6+", "Nb3+", 0.035393519], + ["Nb3+", "Cr6+", 0.035393519], + ["Cr6+", "Nb4+", 0.1448327469], + ["Nb4+", "Cr6+", 0.1448327469], + ["Cr6+", "Nb2+", -0.032749556], + ["Nb2+", "Cr6+", -0.032749556], + ["Cr6+", "Nb7+", 0.3899277602], + ["Nb7+", "Cr6+", 0.3899277602], + ["Cr6+", "Mo3+", 0.0904714288], + ["Mo3+", "Cr6+", 0.0904714288], + ["Cr6+", "Mo4+", 0.32499591], + ["Mo4+", "Cr6+", 0.32499591], + ["Cr6+", "Mo6+", 0.4359034363], + ["Mo6+", "Cr6+", 0.4359034363], + ["Cr6+", "Mo5+", 0.3680068898], + ["Mo5+", "Cr6+", 0.3680068898], + ["Cr6+", "Mo2+", -0.217119411], + ["Mo2+", "Cr6+", -0.217119411], + ["Cr6+", "Tc4+", -0.024059941], + ["Tc4+", "Cr6+", -0.024059941], + ["Cr6+", "Tc3-", -0.1068745357], + ["Tc3-", "Cr6+", -0.1068745357], + ["Cr6+", "Tc3+", -0.0708609483], + ["Tc3+", "Cr6+", -0.0708609483], + ["Cr6+", "Tc7+", 0.4721637828], + ["Tc7+", "Cr6+", 0.4721637828], + ["Cr6+", "Tc5+", 0.2166389771], + ["Tc5+", "Cr6+", 0.2166389771], + ["Cr6+", "Tc6+", 0.0803898056], + ["Tc6+", "Cr6+", 0.0803898056], + ["Cr6+", "Tc2-", -0.0351425558], + ["Tc2-", "Cr6+", -0.0351425558], + ["Cr6+", "Tc2+", 0.0122772142], + ["Tc2+", "Cr6+", 0.0122772142], + ["Cr6+", "Ru2+", 0.0243144677], + ["Ru2+", "Cr6+", 0.0243144677], + ["Cr6+", "Ru6+", 0.3245810853], + ["Ru6+", "Cr6+", 0.3245810853], + ["Cr6+", "Ru4+", 0.3135873675], + ["Ru4+", "Cr6+", 0.3135873675], + ["Cr6+", "Ru5+", 0.5579687854], + ["Ru5+", "Cr6+", 0.5579687854], + ["Cr6+", "Ru3+", 0.2584502763], + ["Ru3+", "Cr6+", 0.2584502763], + ["Cr6+", "Rh4+", 0.3272263061], + ["Rh4+", "Cr6+", 0.3272263061], + ["Cr6+", "Rh3+", 0.1368145309], + ["Rh3+", "Cr6+", 0.1368145309], + ["Cr6+", "Pd2+", 0.1082549536], + ["Pd2+", "Cr6+", 0.1082549536], + ["Cr6+", "Pd4+", 0.1175523694], + ["Pd4+", "Cr6+", 0.1175523694], + ["Cr6+", "Pd3+", 0.0367682941], + ["Pd3+", "Cr6+", 0.0367682941], + ["Cr6+", "Ag3+", 0.4643661296], + ["Ag3+", "Cr6+", 0.4643661296], + ["Cr6+", "Ag2+", 0.2153360186], + ["Ag2+", "Cr6+", 0.2153360186], + ["Cr6+", "Cd2+", 0.2148039456], + ["Cd2+", "Cr6+", 0.2148039456], + ["Cr6+", "In3+", 0.2135382157], + ["In3+", "Cr6+", 0.2135382157], + ["Cr6+", "In2+", 0.0706753574], + ["In2+", "Cr6+", 0.0706753574], + ["Cr6+", "Sn4+", 0.2255573303], + ["Sn4+", "Cr6+", 0.2255573303], + ["Cr6+", "Sn3+", 0.3168150291], + ["Sn3+", "Cr6+", 0.3168150291], + ["Cr6+", "Sn2+", 0.210642921], + ["Sn2+", "Cr6+", 0.210642921], + ["Cr6+", "Sb5+", 0.4132517688], + ["Sb5+", "Cr6+", 0.4132517688], + ["Cr6+", "Sb2-", 0.0593574058], + ["Sb2-", "Cr6+", 0.0593574058], + ["Cr6+", "Sb3-", -0.0309825453], + ["Sb3-", "Cr6+", -0.0309825453], + ["Cr6+", "Sb3+", 0.0008949797], + ["Sb3+", "Cr6+", 0.0008949797], + ["Cr6+", "Sb4+", 0.2761320562], + ["Sb4+", "Cr6+", 0.2761320562], + ["Cr6+", "Te2-", 0.1524588432], + ["Te2-", "Cr6+", 0.1524588432], + ["Cr6+", "Te4+", 0.2112399924], + ["Te4+", "Cr6+", 0.2112399924], + ["Cr6+", "Te6+", 0.3937691677], + ["Te6+", "Cr6+", 0.3937691677], + ["Cr6+", "Te2+", -0.0304398649], + ["Te2+", "Cr6+", -0.0304398649], + ["Cr6+", "Te5+", 0.2905109208], + ["Te5+", "Cr6+", 0.2905109208], + ["Cr6+", "I3+", 0.246274686], + ["I3+", "Cr6+", 0.246274686], + ["Cr6+", "I7+", 0.4214969277], + ["I7+", "Cr6+", 0.4214969277], + ["Cr6+", "I5+", 0.456196037], + ["I5+", "Cr6+", 0.456196037], + ["Cr6+", "I2+", 0.3373059934], + ["I2+", "Cr6+", 0.3373059934], + ["Cr6+", "Ba2+", 0.2924356911], + ["Ba2+", "Cr6+", 0.2924356911], + ["Cr6+", "La3+", 0.2162205048], + ["La3+", "Cr6+", 0.2162205048], + ["Cr6+", "La2+", 0.06367811], + ["La2+", "Cr6+", 0.06367811], + ["Cr6+", "Ce3+", 0.0128140737], + ["Ce3+", "Cr6+", 0.0128140737], + ["Cr6+", "Ce2+", -0.134634478], + ["Ce2+", "Cr6+", -0.134634478], + ["Cr6+", "Ce4+", 0.3377209641], + ["Ce4+", "Cr6+", 0.3377209641], + ["Cr6+", "Pr3+", 0.0425982645], + ["Pr3+", "Cr6+", 0.0425982645], + ["Cr6+", "Pr4+", 0.4035859479], + ["Pr4+", "Cr6+", 0.4035859479], + ["Cr6+", "Pr2+", -0.0205113806], + ["Pr2+", "Cr6+", -0.0205113806], + ["Cr6+", "Nd3+", 0.1272305702], + ["Nd3+", "Cr6+", 0.1272305702], + ["Cr6+", "Nd2+", 0.0437816352], + ["Nd2+", "Cr6+", 0.0437816352], + ["Cr6+", "Pm3+", -0.0152765896], + ["Pm3+", "Cr6+", -0.0152765896], + ["Cr6+", "Sm3+", 0.1445496633], + ["Sm3+", "Cr6+", 0.1445496633], + ["Cr6+", "Sm2+", -0.2636478156], + ["Sm2+", "Cr6+", -0.2636478156], + ["Cr6+", "Eu2+", 0.1759120296], + ["Eu2+", "Cr6+", 0.1759120296], + ["Cr6+", "Eu3+", 0.4164670097], + ["Eu3+", "Cr6+", 0.4164670097], + ["Cr6+", "Gd2+", -0.0914222589], + ["Gd2+", "Cr6+", -0.0914222589], + ["Cr6+", "Gd3+", 0.1189954405], + ["Gd3+", "Cr6+", 0.1189954405], + ["Cr6+", "Tb3+", 0.0213179194], + ["Tb3+", "Cr6+", 0.0213179194], + ["Cr6+", "Tb2+", -0.1513970764], + ["Tb2+", "Cr6+", -0.1513970764], + ["Cr6+", "Tb4+", 0.3223923464], + ["Tb4+", "Cr6+", 0.3223923464], + ["Cr6+", "Dy3+", -0.0364053173], + ["Dy3+", "Cr6+", -0.0364053173], + ["Cr6+", "Dy2+", -0.0362367872], + ["Dy2+", "Cr6+", -0.0362367872], + ["Cr6+", "Ho3+", 0.0484860329], + ["Ho3+", "Cr6+", 0.0484860329], + ["Cr6+", "Ho2+", -0.0219382529], + ["Ho2+", "Cr6+", -0.0219382529], + ["Cr6+", "Er3+", 0.08225154], + ["Er3+", "Cr6+", 0.08225154], + ["Cr6+", "Tm3+", 0.0581854366], + ["Tm3+", "Cr6+", 0.0581854366], + ["Cr6+", "Tm2+", -0.0970733379], + ["Tm2+", "Cr6+", -0.0970733379], + ["Cr6+", "Yb3+", 0.1804184392], + ["Yb3+", "Cr6+", 0.1804184392], + ["Cr6+", "Yb2+", -0.2865088382], + ["Yb2+", "Cr6+", -0.2865088382], + ["Cr6+", "Lu3+", 0.0264995495], + ["Lu3+", "Cr6+", 0.0264995495], + ["Cr6+", "Hf3+", 0.0983139048], + ["Hf3+", "Cr6+", 0.0983139048], + ["Cr6+", "Hf2+", 0.2712436854], + ["Hf2+", "Cr6+", 0.2712436854], + ["Cr6+", "Hf4+", 0.4842181497], + ["Hf4+", "Cr6+", 0.4842181497], + ["Cr6+", "Ta5+", 0.4984600338], + ["Ta5+", "Cr6+", 0.4984600338], + ["Cr6+", "Ta3+", -0.0909207729], + ["Ta3+", "Cr6+", -0.0909207729], + ["Cr6+", "Ta4+", 0.0763992001], + ["Ta4+", "Cr6+", 0.0763992001], + ["Cr6+", "Ta2+", -0.2113900579], + ["Ta2+", "Cr6+", -0.2113900579], + ["Cr6+", "W6+", 0.6090674813], + ["W6+", "Cr6+", 0.6090674813], + ["Cr6+", "W4+", 0.2179480365], + ["W4+", "Cr6+", 0.2179480365], + ["Cr6+", "W2+", -0.2025689165], + ["W2+", "Cr6+", -0.2025689165], + ["Cr6+", "W3+", 0.0749482533], + ["W3+", "Cr6+", 0.0749482533], + ["Cr6+", "W5+", 0.2449216017], + ["W5+", "Cr6+", 0.2449216017], + ["Cr6+", "Re5+", 0.3122298891], + ["Re5+", "Cr6+", 0.3122298891], + ["Cr6+", "Re3+", -0.2206913913], + ["Re3+", "Cr6+", -0.2206913913], + ["Cr6+", "Re6+", 0.3262877159], + ["Re6+", "Cr6+", 0.3262877159], + ["Cr6+", "Re2+", 0.1401956684], + ["Re2+", "Cr6+", 0.1401956684], + ["Cr6+", "Re4+", 0.02969727], + ["Re4+", "Cr6+", 0.02969727], + ["Cr6+", "Re7+", 0.1846041879], + ["Re7+", "Cr6+", 0.1846041879], + ["Cr6+", "Os7+", 0.3871331305], + ["Os7+", "Cr6+", 0.3871331305], + ["Cr6+", "Os6+", 0.340514979], + ["Os6+", "Cr6+", 0.340514979], + ["Cr6+", "Os5+", 0.4596030947], + ["Os5+", "Cr6+", 0.4596030947], + ["Cr6+", "Os2-", -0.2452371722], + ["Os2-", "Cr6+", -0.2452371722], + ["Cr6+", "Os3+", 0.2177679767], + ["Os3+", "Cr6+", 0.2177679767], + ["Cr6+", "Os4+", 0.1511389343], + ["Os4+", "Cr6+", 0.1511389343], + ["Cr6+", "Os8+", 0.1511601542], + ["Os8+", "Cr6+", 0.1511601542], + ["Cr6+", "Os2+", 0.0996203534], + ["Os2+", "Cr6+", 0.0996203534], + ["Cr6+", "Ir3+", 0.0567536643], + ["Ir3+", "Cr6+", 0.0567536643], + ["Cr6+", "Ir4+", 0.2871041624], + ["Ir4+", "Cr6+", 0.2871041624], + ["Cr6+", "Ir5+", 0.2243022571], + ["Ir5+", "Cr6+", 0.2243022571], + ["Cr6+", "Ir6+", 0.3085646563], + ["Ir6+", "Cr6+", 0.3085646563], + ["Cr6+", "Pt2+", -0.0542412781], + ["Pt2+", "Cr6+", -0.0542412781], + ["Cr6+", "Pt2-", -0.1939877239], + ["Pt2-", "Cr6+", -0.1939877239], + ["Cr6+", "Pt4+", 0.2956545551], + ["Pt4+", "Cr6+", 0.2956545551], + ["Cr6+", "Pt3+", 0.2858180489], + ["Pt3+", "Cr6+", 0.2858180489], + ["Cr6+", "Pt5+", 0.014177708], + ["Pt5+", "Cr6+", 0.014177708], + ["Cr6+", "Pt6+", 0.2806754323], + ["Pt6+", "Cr6+", 0.2806754323], + ["Cr6+", "Au2+", -0.1229041487], + ["Au2+", "Cr6+", -0.1229041487], + ["Cr6+", "Au3+", 0.1006710504], + ["Au3+", "Cr6+", 0.1006710504], + ["Cr6+", "Au5+", -0.0686008545], + ["Au5+", "Cr6+", -0.0686008545], + ["Cr6+", "Au4+", -0.1593460596], + ["Au4+", "Cr6+", -0.1593460596], + ["Cr6+", "Hg2+", -0.0384239317], + ["Hg2+", "Cr6+", -0.0384239317], + ["Cr6+", "Tl3+", 0.0966567433], + ["Tl3+", "Cr6+", 0.0966567433], + ["Cr6+", "Tl2+", 0.1647753152], + ["Tl2+", "Cr6+", 0.1647753152], + ["Cr6+", "Pb2+", 0.2305211949], + ["Pb2+", "Cr6+", 0.2305211949], + ["Cr6+", "Pb3+", 0.1928024744], + ["Pb3+", "Cr6+", 0.1928024744], + ["Cr6+", "Pb4+", 0.2915387702], + ["Pb4+", "Cr6+", 0.2915387702], + ["Cr6+", "Bi3+", 0.2634797327], + ["Bi3+", "Cr6+", 0.2634797327], + ["Cr6+", "Bi5+", 0.3568208126], + ["Bi5+", "Cr6+", 0.3568208126], + ["Cr6+", "Bi2+", 0.0112981236], + ["Bi2+", "Cr6+", 0.0112981236], + ["Cr6+", "Bi3-", 0.0591988229], + ["Bi3-", "Cr6+", 0.0591988229], + ["Cr6+", "Bi4+", 0.4157364468], + ["Bi4+", "Cr6+", 0.4157364468], + ["Cr6+", "Ac3+", -0.1552184946], + ["Ac3+", "Cr6+", -0.1552184946], + ["Cr6+", "Th4+", 0.1377184585], + ["Th4+", "Cr6+", 0.1377184585], + ["Cr6+", "Th3+", -0.258768866], + ["Th3+", "Cr6+", -0.258768866], + ["Cr6+", "Pa4+", 0.0552797693], + ["Pa4+", "Cr6+", 0.0552797693], + ["Cr6+", "Pa5+", 0.1932838908], + ["Pa5+", "Cr6+", 0.1932838908], + ["Cr6+", "Pa3+", -0.1056584127], + ["Pa3+", "Cr6+", -0.1056584127], + ["Cr6+", "U6+", 0.3298140723], + ["U6+", "Cr6+", 0.3298140723], + ["Cr6+", "U4+", -0.186796109], + ["U4+", "Cr6+", -0.186796109], + ["Cr6+", "U3+", -0.2890371495], + ["U3+", "Cr6+", -0.2890371495], + ["Cr6+", "U2+", -0.1521508391], + ["U2+", "Cr6+", -0.1521508391], + ["Cr6+", "U5+", 0.2614527506], + ["U5+", "Cr6+", 0.2614527506], + ["Cr6+", "Np6+", 0.3162771429], + ["Np6+", "Cr6+", 0.3162771429], + ["Cr6+", "Np4+", -0.0035562462], + ["Np4+", "Cr6+", -0.0035562462], + ["Cr6+", "Np3+", -0.2647168077], + ["Np3+", "Cr6+", -0.2647168077], + ["Cr6+", "Np7+", 0.3293610068], + ["Np7+", "Cr6+", 0.3293610068], + ["Cr6+", "Np5+", 0.177459775], + ["Np5+", "Cr6+", 0.177459775], + ["Cr6+", "Pu7+", 0.5578698266], + ["Pu7+", "Cr6+", 0.5578698266], + ["Cr6+", "Pu6+", 0.0882010414], + ["Pu6+", "Cr6+", 0.0882010414], + ["Cr6+", "Pu3+", -0.1465106311], + ["Pu3+", "Cr6+", -0.1465106311], + ["Cr6+", "Pu4+", 0.1529710842], + ["Pu4+", "Cr6+", 0.1529710842], + ["Cr6+", "Pu5+", 0.1024699522], + ["Pu5+", "Cr6+", 0.1024699522], + ["Cr6+", "H1+", 0.5285853774], + ["H1+", "Cr6+", 0.5285853774], + ["Cr6+", "H1-", 0.2081713848], + ["H1-", "Cr6+", 0.2081713848], + ["Cr6+", "Li1+", 0.4933170404], + ["Li1+", "Cr6+", 0.4933170404], + ["Cr6+", "B1+", -0.1960262816], + ["B1+", "Cr6+", -0.1960262816], + ["Cr6+", "B1-", 0.0540730264], + ["B1-", "Cr6+", 0.0540730264], + ["Cr6+", "C1-", 0.3102540176], + ["C1-", "Cr6+", 0.3102540176], + ["Cr6+", "C1+", 0.3771796259], + ["C1+", "Cr6+", 0.3771796259], + ["Cr6+", "N1-", 0.1627881855], + ["N1-", "Cr6+", 0.1627881855], + ["Cr6+", "N1+", 0.1020352589], + ["N1+", "Cr6+", 0.1020352589], + ["Cr6+", "O1-", 0.2667045664], + ["O1-", "Cr6+", 0.2667045664], + ["Cr6+", "F1-", -0.0324100611], + ["F1-", "Cr6+", -0.0324100611], + ["Cr6+", "Na1+", 0.4974673445], + ["Na1+", "Cr6+", 0.4974673445], + ["Cr6+", "Si1-", -0.0658255674], + ["Si1-", "Cr6+", -0.0658255674], + ["Cr6+", "P1+", -0.1186778631], + ["P1+", "Cr6+", -0.1186778631], + ["Cr6+", "P1-", 0.0751162601], + ["P1-", "Cr6+", 0.0751162601], + ["Cr6+", "S1-", 0.0218142108], + ["S1-", "Cr6+", 0.0218142108], + ["Cr6+", "S1+", 0.1879475973], + ["S1+", "Cr6+", 0.1879475973], + ["Cr6+", "Cl1-", 0.0881307756], + ["Cl1-", "Cr6+", 0.0881307756], + ["Cr6+", "K1+", 0.2422419421], + ["K1+", "Cr6+", 0.2422419421], + ["Cr6+", "Sc1+", -0.0753740834], + ["Sc1+", "Cr6+", -0.0753740834], + ["Cr6+", "Mn1+", 0.3160303374], + ["Mn1+", "Cr6+", 0.3160303374], + ["Cr6+", "Fe1+", 0.0930691489], + ["Fe1+", "Cr6+", 0.0930691489], + ["Cr6+", "Co1+", 0.1497544162], + ["Co1+", "Cr6+", 0.1497544162], + ["Cr6+", "Ni1+", -0.0291673621], + ["Ni1+", "Cr6+", -0.0291673621], + ["Cr6+", "Cu1+", -0.0682754695], + ["Cu1+", "Cr6+", -0.0682754695], + ["Cr6+", "Ga1+", 0.0062717693], + ["Ga1+", "Cr6+", 0.0062717693], + ["Cr6+", "As1-", 0.0013125994], + ["As1-", "Cr6+", 0.0013125994], + ["Cr6+", "As1+", 0.0595000907], + ["As1+", "Cr6+", 0.0595000907], + ["Cr6+", "Se1-", -0.112748907], + ["Se1-", "Cr6+", -0.112748907], + ["Cr6+", "Se1+", 0.3500710222], + ["Se1+", "Cr6+", 0.3500710222], + ["Cr6+", "Br1-", 0.0794913797], + ["Br1-", "Cr6+", 0.0794913797], + ["Cr6+", "Br1+", 0.3484972478], + ["Br1+", "Cr6+", 0.3484972478], + ["Cr6+", "Rb1+", 0.1113110339], + ["Rb1+", "Cr6+", 0.1113110339], + ["Cr6+", "Y1+", 0.0545487975], + ["Y1+", "Cr6+", 0.0545487975], + ["Cr6+", "Zr1+", -0.2995054588], + ["Zr1+", "Cr6+", -0.2995054588], + ["Cr6+", "Nb1+", 0.0557253772], + ["Nb1+", "Cr6+", 0.0557253772], + ["Cr6+", "Tc1-", -0.0980768801], + ["Tc1-", "Cr6+", -0.0980768801], + ["Cr6+", "Tc1+", 0.0076599228], + ["Tc1+", "Cr6+", 0.0076599228], + ["Cr6+", "Rh1+", -0.0689079402], + ["Rh1+", "Cr6+", -0.0689079402], + ["Cr6+", "Ag1+", 0.1624673274], + ["Ag1+", "Cr6+", 0.1624673274], + ["Cr6+", "In1+", 0.0156425878], + ["In1+", "Cr6+", 0.0156425878], + ["Cr6+", "Sb1-", -0.164669833], + ["Sb1-", "Cr6+", -0.164669833], + ["Cr6+", "Sb1+", 0.0477847389], + ["Sb1+", "Cr6+", 0.0477847389], + ["Cr6+", "Te1-", -0.0876760536], + ["Te1-", "Cr6+", -0.0876760536], + ["Cr6+", "Te1+", 0.0403278779], + ["Te1+", "Cr6+", 0.0403278779], + ["Cr6+", "I1-", 0.1725712032], + ["I1-", "Cr6+", 0.1725712032], + ["Cr6+", "I1+", 0.3413456303], + ["I1+", "Cr6+", 0.3413456303], + ["Cr6+", "Cs1+", 0.0100733478], + ["Cs1+", "Cr6+", 0.0100733478], + ["Cr6+", "La1+", -0.2708970598], + ["La1+", "Cr6+", -0.2708970598], + ["Cr6+", "Tb1+", -0.2072341883], + ["Tb1+", "Cr6+", -0.2072341883], + ["Cr6+", "Ta1+", -0.0667356733], + ["Ta1+", "Cr6+", -0.0667356733], + ["Cr6+", "Os1-", -0.1330963405], + ["Os1-", "Cr6+", -0.1330963405], + ["Cr6+", "Os1+", -0.0228929491], + ["Os1+", "Cr6+", -0.0228929491], + ["Cr6+", "Pt1-", -0.1312774138], + ["Pt1-", "Cr6+", -0.1312774138], + ["Cr6+", "Pt1+", 0.0684077817], + ["Pt1+", "Cr6+", 0.0684077817], + ["Cr6+", "Au1-", -0.2222993791], + ["Au1-", "Cr6+", -0.2222993791], + ["Cr6+", "Au1+", -0.1093828996], + ["Au1+", "Cr6+", -0.1093828996], + ["Cr6+", "Hg1+", 0.1730419497], + ["Hg1+", "Cr6+", 0.1730419497], + ["Cr6+", "Tl1+", 0.0919996394], + ["Tl1+", "Cr6+", 0.0919996394], + ["Cr6+", "Bi1+", -0.1621271535], + ["Bi1+", "Cr6+", -0.1621271535], + ["Cr4+", "Cr4+", 1.0], + ["Cr4+", "Cr5+", 0.4552409443], + ["Cr5+", "Cr4+", 0.4552409443], + ["Cr4+", "Mn2+", 0.4939109743], + ["Mn2+", "Cr4+", 0.4939109743], + ["Cr4+", "Mn3+", 0.5813003511], + ["Mn3+", "Cr4+", 0.5813003511], + ["Cr4+", "Mn4+", 0.5245862362], + ["Mn4+", "Cr4+", 0.5245862362], + ["Cr4+", "Mn7+", 0.2783106276], + ["Mn7+", "Cr4+", 0.2783106276], + ["Cr4+", "Mn6+", 0.3181653037], + ["Mn6+", "Cr4+", 0.3181653037], + ["Cr4+", "Mn5+", 0.4105378226], + ["Mn5+", "Cr4+", 0.4105378226], + ["Cr4+", "Fe2+", 0.380445731], + ["Fe2+", "Cr4+", 0.380445731], + ["Cr4+", "Fe3+", 0.5835142072], + ["Fe3+", "Cr4+", 0.5835142072], + ["Cr4+", "Fe4+", 0.5014538972], + ["Fe4+", "Cr4+", 0.5014538972], + ["Cr4+", "Fe6+", 0.1731790839], + ["Fe6+", "Cr4+", 0.1731790839], + ["Cr4+", "Fe5+", 0.3963162623], + ["Fe5+", "Cr4+", 0.3963162623], + ["Cr4+", "Co2+", 0.3974116382], + ["Co2+", "Cr4+", 0.3974116382], + ["Cr4+", "Co4+", 0.5382381769], + ["Co4+", "Cr4+", 0.5382381769], + ["Cr4+", "Co3+", 0.5723641428], + ["Co3+", "Cr4+", 0.5723641428], + ["Cr4+", "Ni2+", 0.4355381424], + ["Ni2+", "Cr4+", 0.4355381424], + ["Cr4+", "Ni4+", 0.4986283825], + ["Ni4+", "Cr4+", 0.4986283825], + ["Cr4+", "Ni3+", 0.6689648658], + ["Ni3+", "Cr4+", 0.6689648658], + ["Cr4+", "Cu2+", 0.4147122422], + ["Cu2+", "Cr4+", 0.4147122422], + ["Cr4+", "Cu3+", 0.2350953674], + ["Cu3+", "Cr4+", 0.2350953674], + ["Cr4+", "Zn2+", 0.4112436918], + ["Zn2+", "Cr4+", 0.4112436918], + ["Cr4+", "Ga3+", 0.3959672721], + ["Ga3+", "Cr4+", 0.3959672721], + ["Cr4+", "Ga4+", 0.2324477562], + ["Ga4+", "Cr4+", 0.2324477562], + ["Cr4+", "Ga2+", -0.063865908], + ["Ga2+", "Cr4+", -0.063865908], + ["Cr4+", "Ge4-", -0.0134663638], + ["Ge4-", "Cr4+", -0.0134663638], + ["Cr4+", "Ge4+", 0.5135905024], + ["Ge4+", "Cr4+", 0.5135905024], + ["Cr4+", "Ge2-", -0.044684938], + ["Ge2-", "Cr4+", -0.044684938], + ["Cr4+", "Ge2+", 0.1151077325], + ["Ge2+", "Cr4+", 0.1151077325], + ["Cr4+", "Ge3+", 0.2649436613], + ["Ge3+", "Cr4+", 0.2649436613], + ["Cr4+", "As2-", -0.1645845851], + ["As2-", "Cr4+", -0.1645845851], + ["Cr4+", "As3+", 0.114196981], + ["As3+", "Cr4+", 0.114196981], + ["Cr4+", "As5+", 0.3332268261], + ["As5+", "Cr4+", 0.3332268261], + ["Cr4+", "As3-", -0.2088547894], + ["As3-", "Cr4+", -0.2088547894], + ["Cr4+", "As2+", 0.4112629242], + ["As2+", "Cr4+", 0.4112629242], + ["Cr4+", "As4+", 0.2354491224], + ["As4+", "Cr4+", 0.2354491224], + ["Cr4+", "Se2-", -0.0270977338], + ["Se2-", "Cr4+", -0.0270977338], + ["Cr4+", "Se4+", 0.1579239458], + ["Se4+", "Cr4+", 0.1579239458], + ["Cr4+", "Se6+", 0.3713090699], + ["Se6+", "Cr4+", 0.3713090699], + ["Cr4+", "Se5+", 0.2982639021], + ["Se5+", "Cr4+", 0.2982639021], + ["Cr4+", "Se2+", -0.0867051027], + ["Se2+", "Cr4+", -0.0867051027], + ["Cr4+", "Se3+", 0.0580450457], + ["Se3+", "Cr4+", 0.0580450457], + ["Cr4+", "Br2+", 0.2084919966], + ["Br2+", "Cr4+", 0.2084919966], + ["Cr4+", "Br5+", 0.2050945894], + ["Br5+", "Cr4+", 0.2050945894], + ["Cr4+", "Br3+", 0.1747366602], + ["Br3+", "Cr4+", 0.1747366602], + ["Cr4+", "Sr2+", 0.3384066006], + ["Sr2+", "Cr4+", 0.3384066006], + ["Cr4+", "Y3+", 0.4100337586], + ["Y3+", "Cr4+", 0.4100337586], + ["Cr4+", "Y2+", 0.1921394397], + ["Y2+", "Cr4+", 0.1921394397], + ["Cr4+", "Zr2+", -0.3151446351], + ["Zr2+", "Cr4+", -0.3151446351], + ["Cr4+", "Zr4+", 0.5978176242], + ["Zr4+", "Cr4+", 0.5978176242], + ["Cr4+", "Zr3+", -0.0234173418], + ["Zr3+", "Cr4+", -0.0234173418], + ["Cr4+", "Nb5+", 0.4865518692], + ["Nb5+", "Cr4+", 0.4865518692], + ["Cr4+", "Nb3+", 0.1728699014], + ["Nb3+", "Cr4+", 0.1728699014], + ["Cr4+", "Nb4+", 0.388612894], + ["Nb4+", "Cr4+", 0.388612894], + ["Cr4+", "Nb2+", -0.0090359962], + ["Nb2+", "Cr4+", -0.0090359962], + ["Cr4+", "Nb7+", 0.1700074397], + ["Nb7+", "Cr4+", 0.1700074397], + ["Cr4+", "Mo3+", 0.2075930321], + ["Mo3+", "Cr4+", 0.2075930321], + ["Cr4+", "Mo4+", 0.4156505595], + ["Mo4+", "Cr4+", 0.4156505595], + ["Cr4+", "Mo6+", 0.5009564421], + ["Mo6+", "Cr4+", 0.5009564421], + ["Cr4+", "Mo5+", 0.146156426], + ["Mo5+", "Cr4+", 0.146156426], + ["Cr4+", "Mo2+", 0.0503126035], + ["Mo2+", "Cr4+", 0.0503126035], + ["Cr4+", "Tc4+", 0.0903816645], + ["Tc4+", "Cr4+", 0.0903816645], + ["Cr4+", "Tc3-", -0.0596199913], + ["Tc3-", "Cr4+", -0.0596199913], + ["Cr4+", "Tc3+", 0.0960442442], + ["Tc3+", "Cr4+", 0.0960442442], + ["Cr4+", "Tc7+", 0.2859013046], + ["Tc7+", "Cr4+", 0.2859013046], + ["Cr4+", "Tc5+", 0.1963775155], + ["Tc5+", "Cr4+", 0.1963775155], + ["Cr4+", "Tc6+", 0.1312327352], + ["Tc6+", "Cr4+", 0.1312327352], + ["Cr4+", "Tc2-", 0.0949391031], + ["Tc2-", "Cr4+", 0.0949391031], + ["Cr4+", "Tc2+", -0.0761809237], + ["Tc2+", "Cr4+", -0.0761809237], + ["Cr4+", "Ru2+", -0.0493554801], + ["Ru2+", "Cr4+", -0.0493554801], + ["Cr4+", "Ru6+", 0.0915454211], + ["Ru6+", "Cr4+", 0.0915454211], + ["Cr4+", "Ru4+", 0.2659154795], + ["Ru4+", "Cr4+", 0.2659154795], + ["Cr4+", "Ru5+", 0.2891534416], + ["Ru5+", "Cr4+", 0.2891534416], + ["Cr4+", "Ru3+", 0.1716448337], + ["Ru3+", "Cr4+", 0.1716448337], + ["Cr4+", "Rh4+", 0.2953738314], + ["Rh4+", "Cr4+", 0.2953738314], + ["Cr4+", "Rh3+", 0.2205637951], + ["Rh3+", "Cr4+", 0.2205637951], + ["Cr4+", "Pd2+", 0.1823470096], + ["Pd2+", "Cr4+", 0.1823470096], + ["Cr4+", "Pd4+", 0.207454812], + ["Pd4+", "Cr4+", 0.207454812], + ["Cr4+", "Pd3+", 0.3031375469], + ["Pd3+", "Cr4+", 0.3031375469], + ["Cr4+", "Ag3+", 0.4281994065], + ["Ag3+", "Cr4+", 0.4281994065], + ["Cr4+", "Ag2+", 0.350354825], + ["Ag2+", "Cr4+", 0.350354825], + ["Cr4+", "Cd2+", 0.1255273172], + ["Cd2+", "Cr4+", 0.1255273172], + ["Cr4+", "In3+", 0.3836752289], + ["In3+", "Cr4+", 0.3836752289], + ["Cr4+", "In2+", 0.0803075932], + ["In2+", "Cr4+", 0.0803075932], + ["Cr4+", "Sn4+", 0.2965101476], + ["Sn4+", "Cr4+", 0.2965101476], + ["Cr4+", "Sn3+", 0.3561842119], + ["Sn3+", "Cr4+", 0.3561842119], + ["Cr4+", "Sn2+", 0.2773140079], + ["Sn2+", "Cr4+", 0.2773140079], + ["Cr4+", "Sb5+", 0.2993923033], + ["Sb5+", "Cr4+", 0.2993923033], + ["Cr4+", "Sb2-", -0.0225690503], + ["Sb2-", "Cr4+", -0.0225690503], + ["Cr4+", "Sb3-", -0.2055768178], + ["Sb3-", "Cr4+", -0.2055768178], + ["Cr4+", "Sb3+", 0.3705148508], + ["Sb3+", "Cr4+", 0.3705148508], + ["Cr4+", "Sb4+", 0.2279037589], + ["Sb4+", "Cr4+", 0.2279037589], + ["Cr4+", "Te2-", -0.0068816536], + ["Te2-", "Cr4+", -0.0068816536], + ["Cr4+", "Te4+", 0.2260332943], + ["Te4+", "Cr4+", 0.2260332943], + ["Cr4+", "Te6+", 0.4234588275], + ["Te6+", "Cr4+", 0.4234588275], + ["Cr4+", "Te2+", -0.1695458823], + ["Te2+", "Cr4+", -0.1695458823], + ["Cr4+", "Te5+", 0.2912790976], + ["Te5+", "Cr4+", 0.2912790976], + ["Cr4+", "I3+", -0.0503423006], + ["I3+", "Cr4+", -0.0503423006], + ["Cr4+", "I7+", 0.4379219834], + ["I7+", "Cr4+", 0.4379219834], + ["Cr4+", "I5+", 0.2004604119], + ["I5+", "Cr4+", 0.2004604119], + ["Cr4+", "I2+", 0.2874826828], + ["I2+", "Cr4+", 0.2874826828], + ["Cr4+", "Ba2+", 0.4807396155], + ["Ba2+", "Cr4+", 0.4807396155], + ["Cr4+", "La3+", 0.3567944294], + ["La3+", "Cr4+", 0.3567944294], + ["Cr4+", "La2+", 0.0182335906], + ["La2+", "Cr4+", 0.0182335906], + ["Cr4+", "Ce3+", 0.2436953356], + ["Ce3+", "Cr4+", 0.2436953356], + ["Cr4+", "Ce2+", 0.1319625822], + ["Ce2+", "Cr4+", 0.1319625822], + ["Cr4+", "Ce4+", 0.3278670521], + ["Ce4+", "Cr4+", 0.3278670521], + ["Cr4+", "Pr3+", 0.2627273361], + ["Pr3+", "Cr4+", 0.2627273361], + ["Cr4+", "Pr4+", 0.4015649697], + ["Pr4+", "Cr4+", 0.4015649697], + ["Cr4+", "Pr2+", 0.1214111821], + ["Pr2+", "Cr4+", 0.1214111821], + ["Cr4+", "Nd3+", 0.3202819497], + ["Nd3+", "Cr4+", 0.3202819497], + ["Cr4+", "Nd2+", 0.0082173091], + ["Nd2+", "Cr4+", 0.0082173091], + ["Cr4+", "Pm3+", 0.3436144638], + ["Pm3+", "Cr4+", 0.3436144638], + ["Cr4+", "Sm3+", 0.4110915677], + ["Sm3+", "Cr4+", 0.4110915677], + ["Cr4+", "Sm2+", -0.0267221974], + ["Sm2+", "Cr4+", -0.0267221974], + ["Cr4+", "Eu2+", 0.2074791619], + ["Eu2+", "Cr4+", 0.2074791619], + ["Cr4+", "Eu3+", 0.2848944339], + ["Eu3+", "Cr4+", 0.2848944339], + ["Cr4+", "Gd2+", -0.0249486617], + ["Gd2+", "Cr4+", -0.0249486617], + ["Cr4+", "Gd3+", 0.317495295], + ["Gd3+", "Cr4+", 0.317495295], + ["Cr4+", "Tb3+", 0.3954055228], + ["Tb3+", "Cr4+", 0.3954055228], + ["Cr4+", "Tb2+", 0.0049305257], + ["Tb2+", "Cr4+", 0.0049305257], + ["Cr4+", "Tb4+", 0.4333255728], + ["Tb4+", "Cr4+", 0.4333255728], + ["Cr4+", "Dy3+", 0.3489573098], + ["Dy3+", "Cr4+", 0.3489573098], + ["Cr4+", "Dy2+", -0.1123699328], + ["Dy2+", "Cr4+", -0.1123699328], + ["Cr4+", "Ho3+", 0.3678057237], + ["Ho3+", "Cr4+", 0.3678057237], + ["Cr4+", "Ho2+", 0.007613164], + ["Ho2+", "Cr4+", 0.007613164], + ["Cr4+", "Er3+", 0.368037937], + ["Er3+", "Cr4+", 0.368037937], + ["Cr4+", "Tm3+", 0.406864299], + ["Tm3+", "Cr4+", 0.406864299], + ["Cr4+", "Tm2+", -0.1377837327], + ["Tm2+", "Cr4+", -0.1377837327], + ["Cr4+", "Yb3+", 0.3887093365], + ["Yb3+", "Cr4+", 0.3887093365], + ["Cr4+", "Yb2+", -0.0105695382], + ["Yb2+", "Cr4+", -0.0105695382], + ["Cr4+", "Lu3+", 0.3331846222], + ["Lu3+", "Cr4+", 0.3331846222], + ["Cr4+", "Hf3+", 0.168152157], + ["Hf3+", "Cr4+", 0.168152157], + ["Cr4+", "Hf2+", 0.0521276737], + ["Hf2+", "Cr4+", 0.0521276737], + ["Cr4+", "Hf4+", 0.5865799016], + ["Hf4+", "Cr4+", 0.5865799016], + ["Cr4+", "Ta5+", 0.5151487881], + ["Ta5+", "Cr4+", 0.5151487881], + ["Cr4+", "Ta3+", 0.1162502167], + ["Ta3+", "Cr4+", 0.1162502167], + ["Cr4+", "Ta4+", 0.3447854494], + ["Ta4+", "Cr4+", 0.3447854494], + ["Cr4+", "Ta2+", -0.0300061252], + ["Ta2+", "Cr4+", -0.0300061252], + ["Cr4+", "W6+", 0.3636358057], + ["W6+", "Cr4+", 0.3636358057], + ["Cr4+", "W4+", 0.3148634934], + ["W4+", "Cr4+", 0.3148634934], + ["Cr4+", "W2+", 0.0099002639], + ["W2+", "Cr4+", 0.0099002639], + ["Cr4+", "W3+", 0.2172461846], + ["W3+", "Cr4+", 0.2172461846], + ["Cr4+", "W5+", 0.1624714432], + ["W5+", "Cr4+", 0.1624714432], + ["Cr4+", "Re5+", 0.3019844094], + ["Re5+", "Cr4+", 0.3019844094], + ["Cr4+", "Re3+", 0.0542699581], + ["Re3+", "Cr4+", 0.0542699581], + ["Cr4+", "Re6+", 0.0811941408], + ["Re6+", "Cr4+", 0.0811941408], + ["Cr4+", "Re2+", -0.0299987958], + ["Re2+", "Cr4+", -0.0299987958], + ["Cr4+", "Re4+", 0.2095860717], + ["Re4+", "Cr4+", 0.2095860717], + ["Cr4+", "Re7+", 0.2290155399], + ["Re7+", "Cr4+", 0.2290155399], + ["Cr4+", "Os7+", 0.1682136903], + ["Os7+", "Cr4+", 0.1682136903], + ["Cr4+", "Os6+", 0.2129800646], + ["Os6+", "Cr4+", 0.2129800646], + ["Cr4+", "Os5+", 0.4527849143], + ["Os5+", "Cr4+", 0.4527849143], + ["Cr4+", "Os2-", -0.0675725759], + ["Os2-", "Cr4+", -0.0675725759], + ["Cr4+", "Os3+", 0.1640942415], + ["Os3+", "Cr4+", 0.1640942415], + ["Cr4+", "Os4+", 0.150748864], + ["Os4+", "Cr4+", 0.150748864], + ["Cr4+", "Os8+", 0.1664662738], + ["Os8+", "Cr4+", 0.1664662738], + ["Cr4+", "Os2+", 0.0226035118], + ["Os2+", "Cr4+", 0.0226035118], + ["Cr4+", "Ir3+", 0.0544027058], + ["Ir3+", "Cr4+", 0.0544027058], + ["Cr4+", "Ir4+", 0.3094629317], + ["Ir4+", "Cr4+", 0.3094629317], + ["Cr4+", "Ir5+", 0.2373316427], + ["Ir5+", "Cr4+", 0.2373316427], + ["Cr4+", "Ir6+", 0.0600764378], + ["Ir6+", "Cr4+", 0.0600764378], + ["Cr4+", "Pt2+", 0.061185715], + ["Pt2+", "Cr4+", 0.061185715], + ["Cr4+", "Pt2-", -0.2089389679], + ["Pt2-", "Cr4+", -0.2089389679], + ["Cr4+", "Pt4+", 0.1570990959], + ["Pt4+", "Cr4+", 0.1570990959], + ["Cr4+", "Pt3+", 0.3531401716], + ["Pt3+", "Cr4+", 0.3531401716], + ["Cr4+", "Pt5+", 0.0538574626], + ["Pt5+", "Cr4+", 0.0538574626], + ["Cr4+", "Pt6+", 0.0135785201], + ["Pt6+", "Cr4+", 0.0135785201], + ["Cr4+", "Au2+", 0.058479858], + ["Au2+", "Cr4+", 0.058479858], + ["Cr4+", "Au3+", 0.0634250539], + ["Au3+", "Cr4+", 0.0634250539], + ["Cr4+", "Au5+", 0.1490816156], + ["Au5+", "Cr4+", 0.1490816156], + ["Cr4+", "Au4+", 0.0847263891], + ["Au4+", "Cr4+", 0.0847263891], + ["Cr4+", "Hg2+", 0.0234647687], + ["Hg2+", "Cr4+", 0.0234647687], + ["Cr4+", "Tl3+", 0.2597644947], + ["Tl3+", "Cr4+", 0.2597644947], + ["Cr4+", "Tl2+", 0.3772264523], + ["Tl2+", "Cr4+", 0.3772264523], + ["Cr4+", "Pb2+", 0.4307782037], + ["Pb2+", "Cr4+", 0.4307782037], + ["Cr4+", "Pb3+", 0.1723364839], + ["Pb3+", "Cr4+", 0.1723364839], + ["Cr4+", "Pb4+", 0.065567203], + ["Pb4+", "Cr4+", 0.065567203], + ["Cr4+", "Bi3+", 0.5063469001], + ["Bi3+", "Cr4+", 0.5063469001], + ["Cr4+", "Bi5+", 0.293996888], + ["Bi5+", "Cr4+", 0.293996888], + ["Cr4+", "Bi2+", 0.1130952026], + ["Bi2+", "Cr4+", 0.1130952026], + ["Cr4+", "Bi3-", 0.0027699163], + ["Bi3-", "Cr4+", 0.0027699163], + ["Cr4+", "Bi4+", 0.4123409929], + ["Bi4+", "Cr4+", 0.4123409929], + ["Cr4+", "Ac3+", 0.1499223995], + ["Ac3+", "Cr4+", 0.1499223995], + ["Cr4+", "Th4+", 0.3059968556], + ["Th4+", "Cr4+", 0.3059968556], + ["Cr4+", "Th3+", 0.0466754486], + ["Th3+", "Cr4+", 0.0466754486], + ["Cr4+", "Pa4+", -0.1230354896], + ["Pa4+", "Cr4+", -0.1230354896], + ["Cr4+", "Pa5+", 0.1886463326], + ["Pa5+", "Cr4+", 0.1886463326], + ["Cr4+", "Pa3+", 0.0325437724], + ["Pa3+", "Cr4+", 0.0325437724], + ["Cr4+", "U6+", 0.2941546208], + ["U6+", "Cr4+", 0.2941546208], + ["Cr4+", "U4+", 0.1859317971], + ["U4+", "Cr4+", 0.1859317971], + ["Cr4+", "U3+", 0.1014894876], + ["U3+", "Cr4+", 0.1014894876], + ["Cr4+", "U2+", 0.0556016451], + ["U2+", "Cr4+", 0.0556016451], + ["Cr4+", "U5+", 0.2093746406], + ["U5+", "Cr4+", 0.2093746406], + ["Cr4+", "Np6+", 0.2785011513], + ["Np6+", "Cr4+", 0.2785011513], + ["Cr4+", "Np4+", 0.195683465], + ["Np4+", "Cr4+", 0.195683465], + ["Cr4+", "Np3+", 0.0970074492], + ["Np3+", "Cr4+", 0.0970074492], + ["Cr4+", "Np7+", 0.1446584666], + ["Np7+", "Cr4+", 0.1446584666], + ["Cr4+", "Np5+", 0.3937067059], + ["Np5+", "Cr4+", 0.3937067059], + ["Cr4+", "Pu7+", 0.3514721953], + ["Pu7+", "Cr4+", 0.3514721953], + ["Cr4+", "Pu6+", -0.0124224905], + ["Pu6+", "Cr4+", -0.0124224905], + ["Cr4+", "Pu3+", 0.143643486], + ["Pu3+", "Cr4+", 0.143643486], + ["Cr4+", "Pu4+", 0.1974392958], + ["Pu4+", "Cr4+", 0.1974392958], + ["Cr4+", "Pu5+", 0.0761163558], + ["Pu5+", "Cr4+", 0.0761163558], + ["Cr4+", "H1+", 0.1630624617], + ["H1+", "Cr4+", 0.1630624617], + ["Cr4+", "H1-", -0.1348750886], + ["H1-", "Cr4+", -0.1348750886], + ["Cr4+", "Li1+", 0.5790399612], + ["Li1+", "Cr4+", 0.5790399612], + ["Cr4+", "B1+", -0.1850622458], + ["B1+", "Cr4+", -0.1850622458], + ["Cr4+", "B1-", -0.0584081197], + ["B1-", "Cr4+", -0.0584081197], + ["Cr4+", "C1-", -0.0273344832], + ["C1-", "Cr4+", -0.0273344832], + ["Cr4+", "C1+", 0.1393265854], + ["C1+", "Cr4+", 0.1393265854], + ["Cr4+", "N1-", -0.140726879], + ["N1-", "Cr4+", -0.140726879], + ["Cr4+", "N1+", -0.0016952906], + ["N1+", "Cr4+", -0.0016952906], + ["Cr4+", "O1-", 0.0258939565], + ["O1-", "Cr4+", 0.0258939565], + ["Cr4+", "F1-", -0.0122444238], + ["F1-", "Cr4+", -0.0122444238], + ["Cr4+", "Na1+", 0.435156034], + ["Na1+", "Cr4+", 0.435156034], + ["Cr4+", "Si1-", -0.0079163942], + ["Si1-", "Cr4+", -0.0079163942], + ["Cr4+", "P1+", 0.1192889583], + ["P1+", "Cr4+", 0.1192889583], + ["Cr4+", "P1-", -0.1159510261], + ["P1-", "Cr4+", -0.1159510261], + ["Cr4+", "S1-", 0.0085644398], + ["S1-", "Cr4+", 0.0085644398], + ["Cr4+", "S1+", 0.0138543644], + ["S1+", "Cr4+", 0.0138543644], + ["Cr4+", "Cl1-", -0.0556903603], + ["Cl1-", "Cr4+", -0.0556903603], + ["Cr4+", "K1+", 0.2940321161], + ["K1+", "Cr4+", 0.2940321161], + ["Cr4+", "Sc1+", -0.1272713315], + ["Sc1+", "Cr4+", -0.1272713315], + ["Cr4+", "Mn1+", 0.3212986712], + ["Mn1+", "Cr4+", 0.3212986712], + ["Cr4+", "Fe1+", 0.1179118969], + ["Fe1+", "Cr4+", 0.1179118969], + ["Cr4+", "Co1+", 0.1225330366], + ["Co1+", "Cr4+", 0.1225330366], + ["Cr4+", "Ni1+", 0.0035500737], + ["Ni1+", "Cr4+", 0.0035500737], + ["Cr4+", "Cu1+", 0.2037212044], + ["Cu1+", "Cr4+", 0.2037212044], + ["Cr4+", "Ga1+", -0.0147866187], + ["Ga1+", "Cr4+", -0.0147866187], + ["Cr4+", "As1-", -0.0707296507], + ["As1-", "Cr4+", -0.0707296507], + ["Cr4+", "As1+", 0.1683121466], + ["As1+", "Cr4+", 0.1683121466], + ["Cr4+", "Se1-", -0.0728209661], + ["Se1-", "Cr4+", -0.0728209661], + ["Cr4+", "Se1+", 0.0306388672], + ["Se1+", "Cr4+", 0.0306388672], + ["Cr4+", "Br1-", -0.0772549809], + ["Br1-", "Cr4+", -0.0772549809], + ["Cr4+", "Br1+", -0.0471766165], + ["Br1+", "Cr4+", -0.0471766165], + ["Cr4+", "Rb1+", 0.1462264663], + ["Rb1+", "Cr4+", 0.1462264663], + ["Cr4+", "Y1+", 0.1193472359], + ["Y1+", "Cr4+", 0.1193472359], + ["Cr4+", "Zr1+", -0.0656221729], + ["Zr1+", "Cr4+", -0.0656221729], + ["Cr4+", "Nb1+", 0.2171298715], + ["Nb1+", "Cr4+", 0.2171298715], + ["Cr4+", "Tc1-", -0.186335722], + ["Tc1-", "Cr4+", -0.186335722], + ["Cr4+", "Tc1+", 0.22670747], + ["Tc1+", "Cr4+", 0.22670747], + ["Cr4+", "Rh1+", -0.0682833528], + ["Rh1+", "Cr4+", -0.0682833528], + ["Cr4+", "Ag1+", 0.3447847942], + ["Ag1+", "Cr4+", 0.3447847942], + ["Cr4+", "In1+", -0.0599196001], + ["In1+", "Cr4+", -0.0599196001], + ["Cr4+", "Sb1-", -0.1023805463], + ["Sb1-", "Cr4+", -0.1023805463], + ["Cr4+", "Sb1+", 0.2079025704], + ["Sb1+", "Cr4+", 0.2079025704], + ["Cr4+", "Te1-", -0.078453563], + ["Te1-", "Cr4+", -0.078453563], + ["Cr4+", "Te1+", -0.0800553886], + ["Te1+", "Cr4+", -0.0800553886], + ["Cr4+", "I1-", -0.0824684204], + ["I1-", "Cr4+", -0.0824684204], + ["Cr4+", "I1+", -0.057725879], + ["I1+", "Cr4+", -0.057725879], + ["Cr4+", "Cs1+", 0.1480448592], + ["Cs1+", "Cr4+", 0.1480448592], + ["Cr4+", "La1+", -0.2657846027], + ["La1+", "Cr4+", -0.2657846027], + ["Cr4+", "Tb1+", -0.1591539758], + ["Tb1+", "Cr4+", -0.1591539758], + ["Cr4+", "Ta1+", 0.1469391644], + ["Ta1+", "Cr4+", 0.1469391644], + ["Cr4+", "Os1-", 0.111189101], + ["Os1-", "Cr4+", 0.111189101], + ["Cr4+", "Os1+", -0.0105044452], + ["Os1+", "Cr4+", -0.0105044452], + ["Cr4+", "Pt1-", 0.0901651054], + ["Pt1-", "Cr4+", 0.0901651054], + ["Cr4+", "Pt1+", 0.1615503742], + ["Pt1+", "Cr4+", 0.1615503742], + ["Cr4+", "Au1-", -0.2315560511], + ["Au1-", "Cr4+", -0.2315560511], + ["Cr4+", "Au1+", 0.025742095], + ["Au1+", "Cr4+", 0.025742095], + ["Cr4+", "Hg1+", 0.110451531], + ["Hg1+", "Cr4+", 0.110451531], + ["Cr4+", "Tl1+", 0.2760905112], + ["Tl1+", "Cr4+", 0.2760905112], + ["Cr4+", "Bi1+", -0.2639549728], + ["Bi1+", "Cr4+", -0.2639549728], + ["Cr5+", "Cr5+", 1.0], + ["Cr5+", "Mn2+", 0.454529585], + ["Mn2+", "Cr5+", 0.454529585], + ["Cr5+", "Mn3+", 0.5467057279], + ["Mn3+", "Cr5+", 0.5467057279], + ["Cr5+", "Mn4+", 0.5333955967], + ["Mn4+", "Cr5+", 0.5333955967], + ["Cr5+", "Mn7+", 0.4599139196], + ["Mn7+", "Cr5+", 0.4599139196], + ["Cr5+", "Mn6+", 0.3824519255], + ["Mn6+", "Cr5+", 0.3824519255], + ["Cr5+", "Mn5+", 0.3950141805], + ["Mn5+", "Cr5+", 0.3950141805], + ["Cr5+", "Fe2+", 0.4437088308], + ["Fe2+", "Cr5+", 0.4437088308], + ["Cr5+", "Fe3+", 0.5259161989], + ["Fe3+", "Cr5+", 0.5259161989], + ["Cr5+", "Fe4+", 0.5374395852], + ["Fe4+", "Cr5+", 0.5374395852], + ["Cr5+", "Fe6+", 0.359913721], + ["Fe6+", "Cr5+", 0.359913721], + ["Cr5+", "Fe5+", 0.3293359167], + ["Fe5+", "Cr5+", 0.3293359167], + ["Cr5+", "Co2+", 0.4018911917], + ["Co2+", "Cr5+", 0.4018911917], + ["Cr5+", "Co4+", 0.4362533151], + ["Co4+", "Cr5+", 0.4362533151], + ["Cr5+", "Co3+", 0.4663224939], + ["Co3+", "Cr5+", 0.4663224939], + ["Cr5+", "Ni2+", 0.5456251846], + ["Ni2+", "Cr5+", 0.5456251846], + ["Cr5+", "Ni4+", 0.4419752686], + ["Ni4+", "Cr5+", 0.4419752686], + ["Cr5+", "Ni3+", 0.4488279836], + ["Ni3+", "Cr5+", 0.4488279836], + ["Cr5+", "Cu2+", 0.4144758754], + ["Cu2+", "Cr5+", 0.4144758754], + ["Cr5+", "Cu3+", 0.3467482614], + ["Cu3+", "Cr5+", 0.3467482614], + ["Cr5+", "Zn2+", 0.393745588], + ["Zn2+", "Cr5+", 0.393745588], + ["Cr5+", "Ga3+", 0.2964065983], + ["Ga3+", "Cr5+", 0.2964065983], + ["Cr5+", "Ga4+", 0.2969414675], + ["Ga4+", "Cr5+", 0.2969414675], + ["Cr5+", "Ga2+", -0.0354559129], + ["Ga2+", "Cr5+", -0.0354559129], + ["Cr5+", "Ge4-", 0.221465619], + ["Ge4-", "Cr5+", 0.221465619], + ["Cr5+", "Ge4+", 0.2751325479], + ["Ge4+", "Cr5+", 0.2751325479], + ["Cr5+", "Ge2-", 0.236995787], + ["Ge2-", "Cr5+", 0.236995787], + ["Cr5+", "Ge2+", 0.0991424395], + ["Ge2+", "Cr5+", 0.0991424395], + ["Cr5+", "Ge3+", -0.0052181991], + ["Ge3+", "Cr5+", -0.0052181991], + ["Cr5+", "As2-", -0.0330139887], + ["As2-", "Cr5+", -0.0330139887], + ["Cr5+", "As3+", 0.0926335499], + ["As3+", "Cr5+", 0.0926335499], + ["Cr5+", "As5+", 0.3332068793], + ["As5+", "Cr5+", 0.3332068793], + ["Cr5+", "As3-", 0.0481276627], + ["As3-", "Cr5+", 0.0481276627], 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0.0094665028], + ["Tc3+", "Cr5+", 0.0094665028], + ["Cr5+", "Tc7+", 0.3285448688], + ["Tc7+", "Cr5+", 0.3285448688], + ["Cr5+", "Tc5+", 0.2862463594], + ["Tc5+", "Cr5+", 0.2862463594], + ["Cr5+", "Tc6+", 0.1031959645], + ["Tc6+", "Cr5+", 0.1031959645], + ["Cr5+", "Tc2-", 0.0827520483], + ["Tc2-", "Cr5+", 0.0827520483], + ["Cr5+", "Tc2+", -0.0423835554], + ["Tc2+", "Cr5+", -0.0423835554], + ["Cr5+", "Ru2+", 0.0817814496], + ["Ru2+", "Cr5+", 0.0817814496], + ["Cr5+", "Ru6+", 0.2631885664], + ["Ru6+", "Cr5+", 0.2631885664], + ["Cr5+", "Ru4+", 0.3022216387], + ["Ru4+", "Cr5+", 0.3022216387], + ["Cr5+", "Ru5+", 0.4928790669], + ["Ru5+", "Cr5+", 0.4928790669], + ["Cr5+", "Ru3+", 0.2326624003], + ["Ru3+", "Cr5+", 0.2326624003], + ["Cr5+", "Rh4+", 0.2288143133], + ["Rh4+", "Cr5+", 0.2288143133], + ["Cr5+", "Rh3+", 0.2969016242], + ["Rh3+", "Cr5+", 0.2969016242], + ["Cr5+", "Pd2+", 0.2694444399], + ["Pd2+", "Cr5+", 0.2694444399], + ["Cr5+", "Pd4+", 0.0486635155], + ["Pd4+", "Cr5+", 0.0486635155], + ["Cr5+", "Pd3+", 0.2071577327], + ["Pd3+", "Cr5+", 0.2071577327], + ["Cr5+", "Ag3+", 0.3785401018], + ["Ag3+", "Cr5+", 0.3785401018], + ["Cr5+", "Ag2+", 0.2046012575], + ["Ag2+", "Cr5+", 0.2046012575], + ["Cr5+", "Cd2+", 0.2162103858], + ["Cd2+", "Cr5+", 0.2162103858], + ["Cr5+", "In3+", 0.2622608782], + ["In3+", "Cr5+", 0.2622608782], + ["Cr5+", "In2+", 0.0610883913], + ["In2+", "Cr5+", 0.0610883913], + ["Cr5+", "Sn4+", 0.3118943038], + ["Sn4+", "Cr5+", 0.3118943038], + ["Cr5+", "Sn3+", 0.4085549389], + ["Sn3+", "Cr5+", 0.4085549389], + ["Cr5+", "Sn2+", 0.1540672923], + ["Sn2+", "Cr5+", 0.1540672923], + ["Cr5+", "Sb5+", 0.435265643], + ["Sb5+", "Cr5+", 0.435265643], + ["Cr5+", "Sb2-", -0.0061379833], + ["Sb2-", "Cr5+", -0.0061379833], + ["Cr5+", "Sb3-", 0.0838584916], + ["Sb3-", "Cr5+", 0.0838584916], + ["Cr5+", "Sb3+", 0.1274940789], + ["Sb3+", "Cr5+", 0.1274940789], + ["Cr5+", "Sb4+", 0.2346900705], + ["Sb4+", "Cr5+", 0.2346900705], + ["Cr5+", "Te2-", 0.1701836293], + ["Te2-", "Cr5+", 0.1701836293], + ["Cr5+", "Te4+", 0.2773626663], + ["Te4+", "Cr5+", 0.2773626663], + ["Cr5+", "Te6+", 0.3391514895], + ["Te6+", "Cr5+", 0.3391514895], + ["Cr5+", "Te2+", -0.018114242], + ["Te2+", "Cr5+", -0.018114242], + ["Cr5+", "Te5+", 0.1953619628], + ["Te5+", "Cr5+", 0.1953619628], + ["Cr5+", "I3+", 0.17908076], + ["I3+", "Cr5+", 0.17908076], + ["Cr5+", "I7+", 0.3199073693], + ["I7+", "Cr5+", 0.3199073693], + ["Cr5+", "I5+", 0.3968416037], + ["I5+", "Cr5+", 0.3968416037], + ["Cr5+", "I2+", 0.38316798], + ["I2+", "Cr5+", 0.38316798], + ["Cr5+", "Ba2+", 0.3298839557], + ["Ba2+", "Cr5+", 0.3298839557], + ["Cr5+", "La3+", 0.3047672525], + ["La3+", "Cr5+", 0.3047672525], + ["Cr5+", "La2+", 0.2245455311], + ["La2+", "Cr5+", 0.2245455311], + ["Cr5+", "Ce3+", 0.1795977978], + ["Ce3+", "Cr5+", 0.1795977978], + ["Cr5+", "Ce2+", 0.0203097702], + ["Ce2+", "Cr5+", 0.0203097702], + ["Cr5+", "Ce4+", 0.2687686551], + ["Ce4+", "Cr5+", 0.2687686551], + ["Cr5+", "Pr3+", 0.1959695677], + ["Pr3+", "Cr5+", 0.1959695677], + ["Cr5+", "Pr4+", 0.2825688425], + ["Pr4+", "Cr5+", 0.2825688425], + ["Cr5+", "Pr2+", -0.0695550922], + ["Pr2+", "Cr5+", -0.0695550922], + ["Cr5+", "Nd3+", 0.252610431], + ["Nd3+", "Cr5+", 0.252610431], + ["Cr5+", "Nd2+", 0.1426902708], + ["Nd2+", "Cr5+", 0.1426902708], + ["Cr5+", "Pm3+", 0.0929997547], + ["Pm3+", "Cr5+", 0.0929997547], + ["Cr5+", "Sm3+", 0.2808911409], + ["Sm3+", "Cr5+", 0.2808911409], + ["Cr5+", "Sm2+", -0.0167734502], + ["Sm2+", "Cr5+", -0.0167734502], + ["Cr5+", "Eu2+", 0.1921400422], + ["Eu2+", "Cr5+", 0.1921400422], + ["Cr5+", "Eu3+", 0.4026445769], + ["Eu3+", "Cr5+", 0.4026445769], + ["Cr5+", "Gd2+", 0.0071642943], + ["Gd2+", "Cr5+", 0.0071642943], + ["Cr5+", "Gd3+", 0.3790160643], + ["Gd3+", "Cr5+", 0.3790160643], + ["Cr5+", "Tb3+", 0.132284695], + ["Tb3+", "Cr5+", 0.132284695], + ["Cr5+", "Tb2+", 0.0711131575], + ["Tb2+", "Cr5+", 0.0711131575], + ["Cr5+", "Tb4+", 0.4216720367], + ["Tb4+", "Cr5+", 0.4216720367], + ["Cr5+", "Dy3+", 0.2073366866], + ["Dy3+", "Cr5+", 0.2073366866], + ["Cr5+", "Dy2+", 0.1703537723], + ["Dy2+", "Cr5+", 0.1703537723], + ["Cr5+", "Ho3+", 0.2545430301], + ["Ho3+", "Cr5+", 0.2545430301], + ["Cr5+", "Ho2+", 0.3293195584], + ["Ho2+", "Cr5+", 0.3293195584], + ["Cr5+", "Er3+", 0.3887923247], + ["Er3+", "Cr5+", 0.3887923247], + ["Cr5+", "Tm3+", 0.2628143186], + ["Tm3+", "Cr5+", 0.2628143186], + ["Cr5+", "Tm2+", 0.1209919267], + ["Tm2+", "Cr5+", 0.1209919267], + ["Cr5+", "Yb3+", 0.4209378199], + ["Yb3+", "Cr5+", 0.4209378199], + ["Cr5+", "Yb2+", 0.046339981], + ["Yb2+", "Cr5+", 0.046339981], + ["Cr5+", "Lu3+", 0.2754521607], + ["Lu3+", "Cr5+", 0.2754521607], + ["Cr5+", "Hf3+", 0.1991811877], + ["Hf3+", "Cr5+", 0.1991811877], + ["Cr5+", "Hf2+", 0.2152584945], + ["Hf2+", "Cr5+", 0.2152584945], + ["Cr5+", "Hf4+", 0.6109540887], + ["Hf4+", "Cr5+", 0.6109540887], + ["Cr5+", "Ta5+", 0.4769654524], + ["Ta5+", "Cr5+", 0.4769654524], + ["Cr5+", "Ta3+", -0.061399041], + ["Ta3+", 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+ ["Os6+", "Cr5+", 0.427143803], + ["Cr5+", "Os5+", 0.3015226801], + ["Os5+", "Cr5+", 0.3015226801], + ["Cr5+", "Os2-", 0.0038854784], + ["Os2-", "Cr5+", 0.0038854784], + ["Cr5+", "Os3+", 0.0763706929], + ["Os3+", "Cr5+", 0.0763706929], + ["Cr5+", "Os4+", 0.1206422068], + ["Os4+", "Cr5+", 0.1206422068], + ["Cr5+", "Os8+", 0.1067836127], + ["Os8+", "Cr5+", 0.1067836127], + ["Cr5+", "Os2+", 0.0899658642], + ["Os2+", "Cr5+", 0.0899658642], + ["Cr5+", "Ir3+", 0.1720195452], + ["Ir3+", "Cr5+", 0.1720195452], + ["Cr5+", "Ir4+", 0.1246839571], + ["Ir4+", "Cr5+", 0.1246839571], + ["Cr5+", "Ir5+", 0.1997687404], + ["Ir5+", "Cr5+", 0.1997687404], + ["Cr5+", "Ir6+", 0.1595772612], + ["Ir6+", "Cr5+", 0.1595772612], + ["Cr5+", "Pt2+", 0.1678431741], + ["Pt2+", "Cr5+", 0.1678431741], + ["Cr5+", "Pt2-", -0.3193957561], + ["Pt2-", "Cr5+", -0.3193957561], + ["Cr5+", "Pt4+", 0.2555040295], + ["Pt4+", "Cr5+", 0.2555040295], + ["Cr5+", "Pt3+", 0.3113026572], + ["Pt3+", "Cr5+", 0.3113026572], + ["Cr5+", 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0.0781513119], + ["Cr5+", "Bi3-", 0.1770772344], + ["Bi3-", "Cr5+", 0.1770772344], + ["Cr5+", "Bi4+", 0.4297975793], + ["Bi4+", "Cr5+", 0.4297975793], + ["Cr5+", "Ac3+", 0.1257052635], + ["Ac3+", "Cr5+", 0.1257052635], + ["Cr5+", "Th4+", 0.1480351539], + ["Th4+", "Cr5+", 0.1480351539], + ["Cr5+", "Th3+", -0.072542349], + ["Th3+", "Cr5+", -0.072542349], + ["Cr5+", "Pa4+", 0.0363931136], + ["Pa4+", "Cr5+", 0.0363931136], + ["Cr5+", "Pa5+", 0.1270767804], + ["Pa5+", "Cr5+", 0.1270767804], + ["Cr5+", "Pa3+", -0.0760038666], + ["Pa3+", "Cr5+", -0.0760038666], + ["Cr5+", "U6+", 0.3762892865], + ["U6+", "Cr5+", 0.3762892865], + ["Cr5+", "U4+", 0.1495607668], + ["U4+", "Cr5+", 0.1495607668], + ["Cr5+", "U3+", -0.0780143927], + ["U3+", "Cr5+", -0.0780143927], + ["Cr5+", "U2+", 0.0483028651], + ["U2+", "Cr5+", 0.0483028651], + ["Cr5+", "U5+", 0.1739306527], + ["U5+", "Cr5+", 0.1739306527], + ["Cr5+", "Np6+", 0.3290268858], + ["Np6+", "Cr5+", 0.3290268858], + ["Cr5+", "Np4+", 0.1605475489], + ["Np4+", "Cr5+", 0.1605475489], + ["Cr5+", "Np3+", -0.1835325642], + ["Np3+", "Cr5+", -0.1835325642], + ["Cr5+", "Np7+", 0.1533503087], + ["Np7+", "Cr5+", 0.1533503087], + ["Cr5+", "Np5+", 0.2649677414], + ["Np5+", "Cr5+", 0.2649677414], + ["Cr5+", "Pu7+", 0.4017532951], + ["Pu7+", "Cr5+", 0.4017532951], + ["Cr5+", "Pu6+", 0.2164490725], + ["Pu6+", "Cr5+", 0.2164490725], + ["Cr5+", "Pu3+", 0.0475084473], + ["Pu3+", "Cr5+", 0.0475084473], + ["Cr5+", "Pu4+", 0.1950156723], + ["Pu4+", "Cr5+", 0.1950156723], + ["Cr5+", "Pu5+", 0.2035710477], + ["Pu5+", "Cr5+", 0.2035710477], + ["Cr5+", "H1+", 0.3852665882], + ["H1+", "Cr5+", 0.3852665882], + ["Cr5+", "H1-", 0.1115462047], + ["H1-", "Cr5+", 0.1115462047], + ["Cr5+", "Li1+", 0.4976354322], + ["Li1+", "Cr5+", 0.4976354322], + ["Cr5+", "B1+", -0.0349066805], + ["B1+", "Cr5+", -0.0349066805], + ["Cr5+", "B1-", 0.1517860064], + ["B1-", "Cr5+", 0.1517860064], + ["Cr5+", "C1-", 0.130858046], + ["C1-", "Cr5+", 0.130858046], + ["Cr5+", "C1+", 0.5030116355], + ["C1+", "Cr5+", 0.5030116355], + ["Cr5+", "N1-", 0.1802897888], + ["N1-", "Cr5+", 0.1802897888], + ["Cr5+", "N1+", 0.285757913], + ["N1+", "Cr5+", 0.285757913], + ["Cr5+", "O1-", 0.2049724809], + ["O1-", "Cr5+", 0.2049724809], + ["Cr5+", "F1-", 0.1874766424], + ["F1-", "Cr5+", 0.1874766424], + ["Cr5+", "Na1+", 0.4205799696], + ["Na1+", "Cr5+", 0.4205799696], + ["Cr5+", "Si1-", -0.1228987098], + ["Si1-", "Cr5+", -0.1228987098], + ["Cr5+", "P1+", 0.0816194633], + ["P1+", "Cr5+", 0.0816194633], + ["Cr5+", "P1-", 0.0080641389], + ["P1-", "Cr5+", 0.0080641389], + ["Cr5+", "S1-", 0.1267551348], + ["S1-", "Cr5+", 0.1267551348], + ["Cr5+", "S1+", 0.1002545867], + ["S1+", "Cr5+", 0.1002545867], + ["Cr5+", "Cl1-", 0.1680099911], + ["Cl1-", "Cr5+", 0.1680099911], + ["Cr5+", "K1+", 0.2787782648], + ["K1+", "Cr5+", 0.2787782648], + ["Cr5+", "Sc1+", -0.0019509702], + ["Sc1+", "Cr5+", -0.0019509702], + ["Cr5+", "Mn1+", 0.3881212758], + ["Mn1+", "Cr5+", 0.3881212758], + ["Cr5+", "Fe1+", 0.2871560886], + ["Fe1+", "Cr5+", 0.2871560886], + ["Cr5+", "Co1+", 0.2709613071], + ["Co1+", "Cr5+", 0.2709613071], + ["Cr5+", "Ni1+", 0.0921287122], + ["Ni1+", "Cr5+", 0.0921287122], + ["Cr5+", "Cu1+", 0.1728445906], + ["Cu1+", "Cr5+", 0.1728445906], + ["Cr5+", "Ga1+", 0.0527527807], + ["Ga1+", "Cr5+", 0.0527527807], + ["Cr5+", "As1-", -0.1618424234], + ["As1-", "Cr5+", -0.1618424234], + ["Cr5+", "As1+", 0.1152242628], + ["As1+", "Cr5+", 0.1152242628], + ["Cr5+", "Se1-", -0.084535172], + ["Se1-", "Cr5+", -0.084535172], + ["Cr5+", "Se1+", 0.1835272757], + ["Se1+", "Cr5+", 0.1835272757], + ["Cr5+", "Br1-", 0.0548091242], + ["Br1-", "Cr5+", 0.0548091242], + ["Cr5+", "Br1+", 0.2998239525], + ["Br1+", "Cr5+", 0.2998239525], + ["Cr5+", "Rb1+", 0.0458257622], + ["Rb1+", "Cr5+", 0.0458257622], + ["Cr5+", "Y1+", 0.3410756939], + ["Y1+", "Cr5+", 0.3410756939], + ["Cr5+", "Zr1+", -0.0605940886], + ["Zr1+", "Cr5+", -0.0605940886], + ["Cr5+", "Nb1+", 0.259020879], + ["Nb1+", "Cr5+", 0.259020879], + ["Cr5+", "Tc1-", 0.0137434639], + ["Tc1-", "Cr5+", 0.0137434639], + ["Cr5+", "Tc1+", 0.1165306345], + ["Tc1+", "Cr5+", 0.1165306345], + ["Cr5+", "Rh1+", 0.126874954], + ["Rh1+", "Cr5+", 0.126874954], + ["Cr5+", "Ag1+", 0.3867995883], + ["Ag1+", "Cr5+", 0.3867995883], + ["Cr5+", "In1+", 0.012884531], + ["In1+", "Cr5+", 0.012884531], + ["Cr5+", "Sb1-", -0.3150196702], + ["Sb1-", "Cr5+", -0.3150196702], + ["Cr5+", "Sb1+", 0.1984303377], + ["Sb1+", "Cr5+", 0.1984303377], + ["Cr5+", "Te1-", -0.0709623546], + ["Te1-", "Cr5+", -0.0709623546], + ["Cr5+", "Te1+", -0.0371691034], + ["Te1+", "Cr5+", -0.0371691034], + ["Cr5+", "I1-", 0.0601484157], + ["I1-", "Cr5+", 0.0601484157], + ["Cr5+", "I1+", 0.2337963221], + ["I1+", "Cr5+", 0.2337963221], + ["Cr5+", "Cs1+", 0.025151093], + ["Cs1+", "Cr5+", 0.025151093], + ["Cr5+", "La1+", -0.0047158013], + ["La1+", "Cr5+", -0.0047158013], + ["Cr5+", "Tb1+", -0.0979118698], + ["Tb1+", "Cr5+", -0.0979118698], + ["Cr5+", "Ta1+", 0.1015722098], + ["Ta1+", "Cr5+", 0.1015722098], + ["Cr5+", "Os1-", -0.1453971917], + ["Os1-", "Cr5+", -0.1453971917], + ["Cr5+", "Os1+", -0.0836891428], + ["Os1+", "Cr5+", -0.0836891428], + ["Cr5+", "Pt1-", -0.1838928387], + ["Pt1-", "Cr5+", -0.1838928387], + ["Cr5+", "Pt1+", 0.0814064644], + ["Pt1+", "Cr5+", 0.0814064644], + ["Cr5+", "Au1-", -0.1845905057], + ["Au1-", "Cr5+", -0.1845905057], + ["Cr5+", "Au1+", -0.0286030075], + ["Au1+", "Cr5+", -0.0286030075], + ["Cr5+", "Hg1+", 0.1899931504], + ["Hg1+", "Cr5+", 0.1899931504], + ["Cr5+", "Tl1+", 0.2198858256], + ["Tl1+", "Cr5+", 0.2198858256], + ["Cr5+", "Bi1+", -0.1848380761], + ["Bi1+", "Cr5+", -0.1848380761], + ["Mn2+", "Mn2+", 1.0], + ["Mn2+", "Mn3+", 0.665693601], + ["Mn3+", "Mn2+", 0.665693601], + ["Mn2+", "Mn4+", 0.3338882217], + ["Mn4+", "Mn2+", 0.3338882217], + ["Mn2+", "Mn7+", 0.3266002939], + ["Mn7+", "Mn2+", 0.3266002939], + ["Mn2+", "Mn6+", 0.2516451014], + ["Mn6+", "Mn2+", 0.2516451014], + ["Mn2+", "Mn5+", 0.1985324177], + ["Mn5+", "Mn2+", 0.1985324177], + ["Mn2+", "Fe2+", 0.556822487], + ["Fe2+", "Mn2+", 0.556822487], + ["Mn2+", "Fe3+", 0.6760891057], + ["Fe3+", "Mn2+", 0.6760891057], + ["Mn2+", "Fe4+", 0.3485174439], + ["Fe4+", "Mn2+", 0.3485174439], + ["Mn2+", "Fe6+", 0.1257692528], + ["Fe6+", "Mn2+", 0.1257692528], + ["Mn2+", "Fe5+", 0.2408636056], + ["Fe5+", "Mn2+", 0.2408636056], + ["Mn2+", "Co2+", 0.535500564], + ["Co2+", "Mn2+", 0.535500564], + ["Mn2+", "Co4+", 0.2800553475], + ["Co4+", "Mn2+", 0.2800553475], + ["Mn2+", "Co3+", 0.5197741575], + ["Co3+", "Mn2+", 0.5197741575], + ["Mn2+", "Ni2+", 0.5801958733], + ["Ni2+", "Mn2+", 0.5801958733], + ["Mn2+", "Ni4+", 0.2935429875], + ["Ni4+", "Mn2+", 0.2935429875], + ["Mn2+", "Ni3+", 0.3384877009], + ["Ni3+", "Mn2+", 0.3384877009], + ["Mn2+", "Cu2+", 0.4179966819], + ["Cu2+", "Mn2+", 0.4179966819], + ["Mn2+", "Cu3+", 0.2989437015], + ["Cu3+", "Mn2+", 0.2989437015], + ["Mn2+", "Zn2+", 0.3797371356], + ["Zn2+", "Mn2+", 0.3797371356], + ["Mn2+", "Ga3+", 0.4811298647], + ["Ga3+", "Mn2+", 0.4811298647], + ["Mn2+", "Ga4+", 0.29004956], + ["Ga4+", "Mn2+", 0.29004956], + ["Mn2+", "Ga2+", -0.0156149791], + ["Ga2+", "Mn2+", -0.0156149791], + ["Mn2+", "Ge4-", 0.2616455357], + ["Ge4-", "Mn2+", 0.2616455357], + ["Mn2+", "Ge4+", 0.3687832778], + ["Ge4+", "Mn2+", 0.3687832778], + ["Mn2+", "Ge2-", 0.2327733912], + ["Ge2-", "Mn2+", 0.2327733912], + ["Mn2+", "Ge2+", 0.1671809369], + ["Ge2+", "Mn2+", 0.1671809369], + ["Mn2+", "Ge3+", 0.1426817132], + ["Ge3+", "Mn2+", 0.1426817132], + ["Mn2+", "As2-", -0.0087432179], + ["As2-", "Mn2+", -0.0087432179], + ["Mn2+", "As3+", 0.2124861158], + ["As3+", "Mn2+", 0.2124861158], + ["Mn2+", "As5+", 0.3534389458], + ["As5+", "Mn2+", 0.3534389458], + ["Mn2+", "As3-", 0.1007601469], + ["As3-", "Mn2+", 0.1007601469], + ["Mn2+", "As2+", 0.3696243705], + ["As2+", "Mn2+", 0.3696243705], + ["Mn2+", "As4+", 0.3439089181], + ["As4+", "Mn2+", 0.3439089181], + ["Mn2+", "Se2-", 0.1294106472], + ["Se2-", "Mn2+", 0.1294106472], + ["Mn2+", "Se4+", 0.3077296942], + ["Se4+", "Mn2+", 0.3077296942], + ["Mn2+", "Se6+", 0.3420652172], + ["Se6+", "Mn2+", 0.3420652172], + ["Mn2+", "Se5+", 0.3094189754], + ["Se5+", "Mn2+", 0.3094189754], + ["Mn2+", "Se2+", 0.0659482848], + ["Se2+", "Mn2+", 0.0659482848], + ["Mn2+", "Se3+", 0.1121364244], + ["Se3+", "Mn2+", 0.1121364244], + ["Mn2+", "Br2+", 0.1984684247], + ["Br2+", "Mn2+", 0.1984684247], + ["Mn2+", "Br5+", 0.4504126219], + ["Br5+", "Mn2+", 0.4504126219], + ["Mn2+", "Br3+", 0.3403508869], + ["Br3+", "Mn2+", 0.3403508869], + ["Mn2+", "Sr2+", 0.4199357958], + ["Sr2+", "Mn2+", 0.4199357958], + ["Mn2+", "Y3+", 0.317989178], + ["Y3+", "Mn2+", 0.317989178], + ["Mn2+", "Y2+", 0.1175500324], + ["Y2+", "Mn2+", 0.1175500324], + ["Mn2+", "Zr2+", 0.0021793825], + ["Zr2+", "Mn2+", 0.0021793825], + ["Mn2+", "Zr4+", 0.4405289169], + ["Zr4+", "Mn2+", 0.4405289169], + ["Mn2+", "Zr3+", 0.130318405], + ["Zr3+", "Mn2+", 0.130318405], + ["Mn2+", "Nb5+", 0.3629706197], + ["Nb5+", "Mn2+", 0.3629706197], + ["Mn2+", "Nb3+", 0.3576429838], + ["Nb3+", "Mn2+", 0.3576429838], + ["Mn2+", "Nb4+", 0.2388708345], + ["Nb4+", "Mn2+", 0.2388708345], + ["Mn2+", "Nb2+", 0.3138656193], + ["Nb2+", "Mn2+", 0.3138656193], + ["Mn2+", "Nb7+", 0.2107796773], + ["Nb7+", "Mn2+", 0.2107796773], + ["Mn2+", "Mo3+", 0.3277142886], + ["Mo3+", "Mn2+", 0.3277142886], + ["Mn2+", "Mo4+", 0.3954907948], + ["Mo4+", "Mn2+", 0.3954907948], + ["Mn2+", "Mo6+", 0.4717942205], + ["Mo6+", "Mn2+", 0.4717942205], + ["Mn2+", "Mo5+", 0.1296366761], + ["Mo5+", "Mn2+", 0.1296366761], + ["Mn2+", "Mo2+", 0.1632377023], + ["Mo2+", "Mn2+", 0.1632377023], + ["Mn2+", "Tc4+", 0.1501164544], + ["Tc4+", "Mn2+", 0.1501164544], + ["Mn2+", "Tc3-", -0.0089165887], + ["Tc3-", "Mn2+", -0.0089165887], + ["Mn2+", "Tc3+", 0.1249556603], + ["Tc3+", "Mn2+", 0.1249556603], + ["Mn2+", "Tc7+", 0.5028396111], + ["Tc7+", "Mn2+", 0.5028396111], + ["Mn2+", "Tc5+", 0.3647032807], + ["Tc5+", "Mn2+", 0.3647032807], + ["Mn2+", "Tc6+", 0.2704297624], + ["Tc6+", "Mn2+", 0.2704297624], + ["Mn2+", "Tc2-", -0.0395532595], + ["Tc2-", "Mn2+", -0.0395532595], + ["Mn2+", "Tc2+", 0.1719700042], + ["Tc2+", "Mn2+", 0.1719700042], + ["Mn2+", "Ru2+", -0.0375520851], + ["Ru2+", "Mn2+", -0.0375520851], + ["Mn2+", "Ru6+", 0.3742597458], + ["Ru6+", "Mn2+", 0.3742597458], + ["Mn2+", "Ru4+", 0.2453469083], + ["Ru4+", "Mn2+", 0.2453469083], + ["Mn2+", "Ru5+", 0.4929763997], + ["Ru5+", "Mn2+", 0.4929763997], + ["Mn2+", "Ru3+", 0.2362368518], + ["Ru3+", "Mn2+", 0.2362368518], + ["Mn2+", "Rh4+", 0.1840443652], + ["Rh4+", "Mn2+", 0.1840443652], + ["Mn2+", "Rh3+", 0.4260231135], + ["Rh3+", "Mn2+", 0.4260231135], + ["Mn2+", "Pd2+", 0.4111319256], + ["Pd2+", "Mn2+", 0.4111319256], + ["Mn2+", "Pd4+", 0.0657170432], + ["Pd4+", "Mn2+", 0.0657170432], + ["Mn2+", "Pd3+", 0.4875411922], + ["Pd3+", "Mn2+", 0.4875411922], + ["Mn2+", "Ag3+", 0.3499266691], + ["Ag3+", "Mn2+", 0.3499266691], + ["Mn2+", "Ag2+", 0.2581290573], + ["Ag2+", "Mn2+", 0.2581290573], + ["Mn2+", "Cd2+", 0.3109855113], + ["Cd2+", "Mn2+", 0.3109855113], + ["Mn2+", "In3+", 0.473327124], + ["In3+", "Mn2+", 0.473327124], + ["Mn2+", "In2+", 0.0851043729], + ["In2+", "Mn2+", 0.0851043729], + ["Mn2+", "Sn4+", 0.3454249533], + ["Sn4+", "Mn2+", 0.3454249533], + ["Mn2+", "Sn3+", 0.3026836167], + ["Sn3+", "Mn2+", 0.3026836167], + ["Mn2+", "Sn2+", 0.4138775767], + ["Sn2+", "Mn2+", 0.4138775767], + ["Mn2+", "Sb5+", 0.4919759349], + ["Sb5+", "Mn2+", 0.4919759349], + ["Mn2+", "Sb2-", 0.0517548781], + ["Sb2-", "Mn2+", 0.0517548781], + ["Mn2+", "Sb3-", 0.037466585], + ["Sb3-", "Mn2+", 0.037466585], + ["Mn2+", "Sb3+", 0.3040570676], + ["Sb3+", "Mn2+", 0.3040570676], + ["Mn2+", "Sb4+", 0.3170121936], + ["Sb4+", "Mn2+", 0.3170121936], + ["Mn2+", "Te2-", 0.2193308544], + ["Te2-", "Mn2+", 0.2193308544], + ["Mn2+", "Te4+", 0.3517894276], + ["Te4+", "Mn2+", 0.3517894276], + ["Mn2+", "Te6+", 0.5166940763], + ["Te6+", "Mn2+", 0.5166940763], + ["Mn2+", "Te2+", 0.1398166624], + ["Te2+", "Mn2+", 0.1398166624], + ["Mn2+", "Te5+", 0.243592123], + ["Te5+", "Mn2+", 0.243592123], + ["Mn2+", "I3+", 0.2802004921], + ["I3+", "Mn2+", 0.2802004921], + ["Mn2+", "I7+", 0.4506258176], + ["I7+", "Mn2+", 0.4506258176], + ["Mn2+", "I5+", 0.4128583575], + ["I5+", "Mn2+", 0.4128583575], + ["Mn2+", "I2+", 0.3100782333], + ["I2+", "Mn2+", 0.3100782333], + ["Mn2+", "Ba2+", 0.4962913999], + ["Ba2+", "Mn2+", 0.4962913999], + ["Mn2+", "La3+", 0.2845235499], + ["La3+", "Mn2+", 0.2845235499], + ["Mn2+", "La2+", 0.1575108207], + ["La2+", "Mn2+", 0.1575108207], + ["Mn2+", "Ce3+", 0.3326225786], + ["Ce3+", "Mn2+", 0.3326225786], + ["Mn2+", "Ce2+", 0.1945163947], + ["Ce2+", "Mn2+", 0.1945163947], + ["Mn2+", "Ce4+", 0.3188047288], + ["Ce4+", "Mn2+", 0.3188047288], + ["Mn2+", "Pr3+", 0.2295521096], + ["Pr3+", "Mn2+", 0.2295521096], + ["Mn2+", "Pr4+", 0.1757428158], + ["Pr4+", "Mn2+", 0.1757428158], + ["Mn2+", "Pr2+", 0.0830828862], + ["Pr2+", "Mn2+", 0.0830828862], + ["Mn2+", "Nd3+", 0.2634276579], + ["Nd3+", "Mn2+", 0.2634276579], + ["Mn2+", "Nd2+", 0.1567594091], + ["Nd2+", "Mn2+", 0.1567594091], + ["Mn2+", "Pm3+", 0.0672764033], + ["Pm3+", "Mn2+", 0.0672764033], + ["Mn2+", "Sm3+", 0.2097093988], + ["Sm3+", "Mn2+", 0.2097093988], + ["Mn2+", "Sm2+", 0.1936195952], + ["Sm2+", "Mn2+", 0.1936195952], + ["Mn2+", "Eu2+", 0.2980438444], + ["Eu2+", "Mn2+", 0.2980438444], + ["Mn2+", "Eu3+", 0.2823623001], + ["Eu3+", "Mn2+", 0.2823623001], + ["Mn2+", "Gd2+", 0.0665978473], + ["Gd2+", "Mn2+", 0.0665978473], + ["Mn2+", "Gd3+", 0.268880981], + ["Gd3+", "Mn2+", 0.268880981], + ["Mn2+", "Tb3+", 0.2409252991], + ["Tb3+", "Mn2+", 0.2409252991], + ["Mn2+", "Tb2+", 0.1232334998], + ["Tb2+", "Mn2+", 0.1232334998], + ["Mn2+", "Tb4+", 0.3766609219], + ["Tb4+", "Mn2+", 0.3766609219], + ["Mn2+", "Dy3+", 0.2261852362], + ["Dy3+", "Mn2+", 0.2261852362], + ["Mn2+", "Dy2+", 0.049685889], + ["Dy2+", "Mn2+", 0.049685889], + ["Mn2+", "Ho3+", 0.2524525271], + ["Ho3+", "Mn2+", 0.2524525271], + 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0.0662520682], + ["Se3+", "Mn3+", 0.0662520682], + ["Mn3+", "Br2+", 0.0200747101], + ["Br2+", "Mn3+", 0.0200747101], + ["Mn3+", "Br5+", 0.558167116], + ["Br5+", "Mn3+", 0.558167116], + ["Mn3+", "Br3+", 0.4297119964], + ["Br3+", "Mn3+", 0.4297119964], + ["Mn3+", "Sr2+", 0.3918689973], + ["Sr2+", "Mn3+", 0.3918689973], + ["Mn3+", "Y3+", 0.362055605], + ["Y3+", "Mn3+", 0.362055605], + ["Mn3+", "Y2+", 0.2028527838], + ["Y2+", "Mn3+", 0.2028527838], + ["Mn3+", "Zr2+", -0.2072363326], + ["Zr2+", "Mn3+", -0.2072363326], + ["Mn3+", "Zr4+", 0.5338220934], + ["Zr4+", "Mn3+", 0.5338220934], + ["Mn3+", "Zr3+", -0.0324159026], + ["Zr3+", "Mn3+", -0.0324159026], + ["Mn3+", "Nb5+", 0.3289175956], + ["Nb5+", "Mn3+", 0.3289175956], + ["Mn3+", "Nb3+", 0.1150280752], + ["Nb3+", "Mn3+", 0.1150280752], + ["Mn3+", "Nb4+", 0.1934710991], + ["Nb4+", "Mn3+", 0.1934710991], + ["Mn3+", "Nb2+", -0.0519315016], + ["Nb2+", "Mn3+", -0.0519315016], + ["Mn3+", "Nb7+", 0.2861307507], + ["Nb7+", "Mn3+", 0.2861307507], + 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["Ru6+", "Mn3+", 0.350984257], + ["Mn3+", "Ru4+", 0.1621242552], + ["Ru4+", "Mn3+", 0.1621242552], + ["Mn3+", "Ru5+", 0.4045448447], + ["Ru5+", "Mn3+", 0.4045448447], + ["Mn3+", "Ru3+", 0.2231943151], + ["Ru3+", "Mn3+", 0.2231943151], + ["Mn3+", "Rh4+", 0.2253649149], + ["Rh4+", "Mn3+", 0.2253649149], + ["Mn3+", "Rh3+", 0.2584004982], + ["Rh3+", "Mn3+", 0.2584004982], + ["Mn3+", "Pd2+", 0.1713680526], + ["Pd2+", "Mn3+", 0.1713680526], + ["Mn3+", "Pd4+", 0.0784901841], + ["Pd4+", "Mn3+", 0.0784901841], + ["Mn3+", "Pd3+", 0.2591968245], + ["Pd3+", "Mn3+", 0.2591968245], + ["Mn3+", "Ag3+", 0.4966035757], + ["Ag3+", "Mn3+", 0.4966035757], + ["Mn3+", "Ag2+", 0.4453687653], + ["Ag2+", "Mn3+", 0.4453687653], + ["Mn3+", "Cd2+", 0.1551562537], + ["Cd2+", "Mn3+", 0.1551562537], + ["Mn3+", "In3+", 0.3416644009], + ["In3+", "Mn3+", 0.3416644009], + ["Mn3+", "In2+", -0.0561588724], + ["In2+", "Mn3+", -0.0561588724], + ["Mn3+", "Sn4+", 0.3362800275], + ["Sn4+", "Mn3+", 0.3362800275], + ["Mn3+", "Sn3+", 0.2874225862], + ["Sn3+", "Mn3+", 0.2874225862], + ["Mn3+", "Sn2+", 0.2729883031], + ["Sn2+", "Mn3+", 0.2729883031], + ["Mn3+", "Sb5+", 0.4808470184], + ["Sb5+", "Mn3+", 0.4808470184], + ["Mn3+", "Sb2-", 0.032051242], + ["Sb2-", "Mn3+", 0.032051242], + ["Mn3+", "Sb3-", -0.0925009649], + ["Sb3-", "Mn3+", -0.0925009649], + ["Mn3+", "Sb3+", 0.2413015509], + ["Sb3+", "Mn3+", 0.2413015509], + ["Mn3+", "Sb4+", 0.371917503], + ["Sb4+", "Mn3+", 0.371917503], + ["Mn3+", "Te2-", -0.0739171757], + ["Te2-", "Mn3+", -0.0739171757], + ["Mn3+", "Te4+", 0.289876239], + ["Te4+", "Mn3+", 0.289876239], + ["Mn3+", "Te6+", 0.6063185234], + ["Te6+", "Mn3+", 0.6063185234], + ["Mn3+", "Te2+", -0.0631811679], + ["Te2+", "Mn3+", -0.0631811679], + ["Mn3+", "Te5+", 0.2279181678], + ["Te5+", "Mn3+", 0.2279181678], + ["Mn3+", "I3+", 0.227047987], + ["I3+", "Mn3+", 0.227047987], + ["Mn3+", "I7+", 0.4780550224], + ["I7+", "Mn3+", 0.4780550224], + ["Mn3+", "I5+", 0.4748373618], + ["I5+", "Mn3+", 0.4748373618], + ["Mn3+", "I2+", 0.2409312154], + ["I2+", "Mn3+", 0.2409312154], + ["Mn3+", "Ba2+", 0.4234478317], + ["Ba2+", "Mn3+", 0.4234478317], + ["Mn3+", "La3+", 0.178213357], + ["La3+", "Mn3+", 0.178213357], + ["Mn3+", "La2+", 0.0293313071], + ["La2+", "Mn3+", 0.0293313071], + ["Mn3+", "Ce3+", 0.0703717636], + ["Ce3+", "Mn3+", 0.0703717636], + ["Mn3+", "Ce2+", -0.0335030341], + ["Ce2+", "Mn3+", -0.0335030341], + ["Mn3+", "Ce4+", 0.2918245702], + ["Ce4+", "Mn3+", 0.2918245702], + ["Mn3+", "Pr3+", 0.1256887858], + ["Pr3+", "Mn3+", 0.1256887858], + ["Mn3+", "Pr4+", 0.2773963848], + ["Pr4+", "Mn3+", 0.2773963848], + ["Mn3+", "Pr2+", 0.0852138181], + ["Pr2+", "Mn3+", 0.0852138181], + ["Mn3+", "Nd3+", 0.299750134], + ["Nd3+", "Mn3+", 0.299750134], + ["Mn3+", "Nd2+", -0.0345862429], + ["Nd2+", "Mn3+", -0.0345862429], + ["Mn3+", "Pm3+", -0.0270691038], + ["Pm3+", "Mn3+", -0.0270691038], + ["Mn3+", "Sm3+", 0.245684429], + ["Sm3+", "Mn3+", 0.245684429], + ["Mn3+", "Sm2+", -0.0597371029], + ["Sm2+", "Mn3+", -0.0597371029], + ["Mn3+", "Eu2+", 0.1494531119], + ["Eu2+", "Mn3+", 0.1494531119], + ["Mn3+", "Eu3+", 0.2748585082], + ["Eu3+", "Mn3+", 0.2748585082], + ["Mn3+", "Gd2+", 0.0072477628], + ["Gd2+", "Mn3+", 0.0072477628], + ["Mn3+", "Gd3+", 0.2954876089], + ["Gd3+", "Mn3+", 0.2954876089], + ["Mn3+", "Tb3+", 0.3203960544], + ["Tb3+", "Mn3+", 0.3203960544], + ["Mn3+", "Tb2+", -0.0798230283], + ["Tb2+", "Mn3+", -0.0798230283], + ["Mn3+", "Tb4+", 0.5137004604], + ["Tb4+", "Mn3+", 0.5137004604], + ["Mn3+", "Dy3+", 0.1971485851], + ["Dy3+", "Mn3+", 0.1971485851], + ["Mn3+", "Dy2+", -0.093955086], + ["Dy2+", "Mn3+", -0.093955086], + ["Mn3+", "Ho3+", 0.2724673914], + ["Ho3+", "Mn3+", 0.2724673914], + ["Mn3+", "Ho2+", 0.1093055943], + ["Ho2+", "Mn3+", 0.1093055943], + ["Mn3+", "Er3+", 0.3710195832], + ["Er3+", "Mn3+", 0.3710195832], + ["Mn3+", "Tm3+", 0.2820817944], + ["Tm3+", "Mn3+", 0.2820817944], + ["Mn3+", "Tm2+", -0.112977641], + ["Tm2+", "Mn3+", -0.112977641], + ["Mn3+", "Yb3+", 0.3275001328], + ["Yb3+", "Mn3+", 0.3275001328], + ["Mn3+", "Yb2+", -0.0559444182], + ["Yb2+", "Mn3+", -0.0559444182], + ["Mn3+", "Lu3+", 0.270378948], + ["Lu3+", "Mn3+", 0.270378948], + ["Mn3+", "Hf3+", 0.1029945872], + ["Hf3+", "Mn3+", 0.1029945872], + ["Mn3+", "Hf2+", 0.3480560724], + ["Hf2+", "Mn3+", 0.3480560724], + ["Mn3+", "Hf4+", 0.3548830473], + ["Hf4+", "Mn3+", 0.3548830473], + ["Mn3+", "Ta5+", 0.3819205259], + ["Ta5+", "Mn3+", 0.3819205259], + ["Mn3+", "Ta3+", 0.0474098701], + ["Ta3+", "Mn3+", 0.0474098701], + ["Mn3+", "Ta4+", 0.0213986324], + ["Ta4+", "Mn3+", 0.0213986324], + ["Mn3+", "Ta2+", -0.1313977438], + ["Ta2+", "Mn3+", -0.1313977438], + ["Mn3+", "W6+", 0.40721446], + ["W6+", "Mn3+", 0.40721446], + ["Mn3+", "W4+", 0.1568907962], + ["W4+", "Mn3+", 0.1568907962], + ["Mn3+", "W2+", -0.0590214388], + ["W2+", "Mn3+", -0.0590214388], + ["Mn3+", "W3+", 0.2035751595], + ["W3+", "Mn3+", 0.2035751595], + ["Mn3+", "W5+", 0.3087579619], + ["W5+", "Mn3+", 0.3087579619], + ["Mn3+", "Re5+", 0.144098832], + ["Re5+", "Mn3+", 0.144098832], + ["Mn3+", "Re3+", -0.2384992641], + ["Re3+", "Mn3+", -0.2384992641], + ["Mn3+", "Re6+", 0.1746969939], + ["Re6+", "Mn3+", 0.1746969939], + ["Mn3+", "Re2+", -0.0408047772], + ["Re2+", "Mn3+", -0.0408047772], + ["Mn3+", "Re4+", 0.1040622623], + ["Re4+", "Mn3+", 0.1040622623], + ["Mn3+", "Re7+", 0.3539546194], + ["Re7+", "Mn3+", 0.3539546194], + ["Mn3+", "Os7+", 0.2955911995], + ["Os7+", "Mn3+", 0.2955911995], + ["Mn3+", "Os6+", 0.2327300728], + ["Os6+", "Mn3+", 0.2327300728], + ["Mn3+", "Os5+", 0.3854831203], + ["Os5+", "Mn3+", 0.3854831203], + ["Mn3+", "Os2-", -0.1992074807], + ["Os2-", "Mn3+", -0.1992074807], + ["Mn3+", "Os3+", 0.0631397835], + ["Os3+", "Mn3+", 0.0631397835], + ["Mn3+", "Os4+", 0.0566562268], + ["Os4+", "Mn3+", 0.0566562268], + ["Mn3+", "Os8+", 0.1676975314], + ["Os8+", "Mn3+", 0.1676975314], + ["Mn3+", "Os2+", 0.0907403595], + ["Os2+", "Mn3+", 0.0907403595], + ["Mn3+", "Ir3+", 0.1340595935], + ["Ir3+", "Mn3+", 0.1340595935], + ["Mn3+", "Ir4+", 0.2534303428], + ["Ir4+", "Mn3+", 0.2534303428], + ["Mn3+", "Ir5+", 0.2160308732], + ["Ir5+", "Mn3+", 0.2160308732], + ["Mn3+", "Ir6+", 0.2330524383], + ["Ir6+", "Mn3+", 0.2330524383], + ["Mn3+", "Pt2+", -0.0660390124], + ["Pt2+", "Mn3+", -0.0660390124], + ["Mn3+", "Pt2-", -0.3206583982], + ["Pt2-", "Mn3+", -0.3206583982], + ["Mn3+", "Pt4+", 0.3697515864], + ["Pt4+", "Mn3+", 0.3697515864], + ["Mn3+", "Pt3+", 0.3819280138], + ["Pt3+", "Mn3+", 0.3819280138], + ["Mn3+", "Pt5+", 0.2558652225], + ["Pt5+", "Mn3+", 0.2558652225], + ["Mn3+", "Pt6+", 0.18301822], + ["Pt6+", "Mn3+", 0.18301822], + ["Mn3+", "Au2+", 0.2285475785], + ["Au2+", "Mn3+", 0.2285475785], + ["Mn3+", "Au3+", 0.3421737217], + ["Au3+", "Mn3+", 0.3421737217], + ["Mn3+", "Au5+", 0.2429522191], + ["Au5+", "Mn3+", 0.2429522191], + ["Mn3+", "Au4+", 0.1419450825], + ["Au4+", "Mn3+", 0.1419450825], + ["Mn3+", "Hg2+", -0.0055269088], + ["Hg2+", "Mn3+", -0.0055269088], + ["Mn3+", "Tl3+", 0.3574962136], + ["Tl3+", "Mn3+", 0.3574962136], + ["Mn3+", "Tl2+", 0.3418691234], + ["Tl2+", "Mn3+", 0.3418691234], + ["Mn3+", "Pb2+", 0.2961909636], + ["Pb2+", "Mn3+", 0.2961909636], + ["Mn3+", "Pb3+", 0.1757519449], + ["Pb3+", "Mn3+", 0.1757519449], + ["Mn3+", "Pb4+", 0.2525609032], + ["Pb4+", "Mn3+", 0.2525609032], + ["Mn3+", "Bi3+", 0.3327466698], + ["Bi3+", "Mn3+", 0.3327466698], + ["Mn3+", "Bi5+", 0.4289638338], + ["Bi5+", "Mn3+", 0.4289638338], + ["Mn3+", "Bi2+", 0.0047461827], + ["Bi2+", "Mn3+", 0.0047461827], + ["Mn3+", "Bi3-", -0.0684198328], + ["Bi3-", "Mn3+", -0.0684198328], + ["Mn3+", "Bi4+", 0.4961532858], + ["Bi4+", "Mn3+", 0.4961532858], + ["Mn3+", "Ac3+", -0.0690808538], + ["Ac3+", "Mn3+", -0.0690808538], + ["Mn3+", "Th4+", 0.424814016], + ["Th4+", "Mn3+", 0.424814016], + ["Mn3+", "Th3+", 0.1710863341], + ["Th3+", "Mn3+", 0.1710863341], + ["Mn3+", "Pa4+", 0.1541372144], + ["Pa4+", "Mn3+", 0.1541372144], + ["Mn3+", "Pa5+", 0.3449463856], + ["Pa5+", "Mn3+", 0.3449463856], + ["Mn3+", "Pa3+", -0.0838942086], + ["Pa3+", "Mn3+", -0.0838942086], + ["Mn3+", "U6+", 0.499949796], + ["U6+", "Mn3+", 0.499949796], + ["Mn3+", "U4+", 0.2080879554], + ["U4+", "Mn3+", 0.2080879554], + ["Mn3+", "U3+", -0.0026482876], + ["U3+", "Mn3+", -0.0026482876], + ["Mn3+", "U2+", -0.0122800265], + ["U2+", "Mn3+", -0.0122800265], + ["Mn3+", "U5+", 0.3584221936], + ["U5+", "Mn3+", 0.3584221936], + ["Mn3+", "Np6+", 0.4014894083], + ["Np6+", "Mn3+", 0.4014894083], + ["Mn3+", "Np4+", 0.4517509065], + ["Np4+", "Mn3+", 0.4517509065], + ["Mn3+", "Np3+", -0.0086147991], + ["Np3+", "Mn3+", -0.0086147991], + ["Mn3+", "Np7+", 0.2179957471], + ["Np7+", "Mn3+", 0.2179957471], + ["Mn3+", "Np5+", 0.2772972222], + ["Np5+", "Mn3+", 0.2772972222], + ["Mn3+", "Pu7+", 0.4204423932], + ["Pu7+", "Mn3+", 0.4204423932], + ["Mn3+", "Pu6+", 0.0640816574], + ["Pu6+", "Mn3+", 0.0640816574], + ["Mn3+", "Pu3+", 0.0875533617], + ["Pu3+", "Mn3+", 0.0875533617], + ["Mn3+", "Pu4+", 0.3898800623], + ["Pu4+", "Mn3+", 0.3898800623], + ["Mn3+", "Pu5+", 0.1180959898], + ["Pu5+", "Mn3+", 0.1180959898], + ["Mn3+", "H1+", 0.3809979044], + ["H1+", "Mn3+", 0.3809979044], + ["Mn3+", "H1-", -0.048993157], + ["H1-", "Mn3+", -0.048993157], + ["Mn3+", "Li1+", 0.6170807862], + ["Li1+", "Mn3+", 0.6170807862], + ["Mn3+", "B1+", 0.0453375745], + ["B1+", "Mn3+", 0.0453375745], + ["Mn3+", "B1-", -0.1613495742], + ["B1-", "Mn3+", -0.1613495742], + ["Mn3+", "C1-", -0.1189949725], + ["C1-", "Mn3+", -0.1189949725], + ["Mn3+", "C1+", 0.2728895456], + ["C1+", "Mn3+", 0.2728895456], + ["Mn3+", "N1-", 0.0387076763], + ["N1-", "Mn3+", 0.0387076763], + ["Mn3+", "N1+", 0.162651752], + ["N1+", "Mn3+", 0.162651752], + ["Mn3+", "O1-", 0.0828487121], + ["O1-", "Mn3+", 0.0828487121], + ["Mn3+", "F1-", -0.056001185], + ["F1-", "Mn3+", -0.056001185], + ["Mn3+", "Na1+", 0.5392502106], + ["Na1+", "Mn3+", 0.5392502106], + ["Mn3+", "Si1-", -0.1415918412], + ["Si1-", "Mn3+", -0.1415918412], + ["Mn3+", "P1+", 0.0701036123], + ["P1+", "Mn3+", 0.0701036123], + ["Mn3+", "P1-", -0.2272510828], + ["P1-", "Mn3+", -0.2272510828], + ["Mn3+", "S1-", -0.04426974], + ["S1-", "Mn3+", -0.04426974], + ["Mn3+", "S1+", 0.0397822563], + ["S1+", "Mn3+", 0.0397822563], + ["Mn3+", "Cl1-", -0.0517344866], + ["Cl1-", "Mn3+", -0.0517344866], + ["Mn3+", "K1+", 0.2935601097], + ["K1+", "Mn3+", 0.2935601097], + ["Mn3+", "Sc1+", -0.0789289145], + ["Sc1+", "Mn3+", -0.0789289145], + ["Mn3+", "Mn1+", 0.352974099], + ["Mn1+", "Mn3+", 0.352974099], + ["Mn3+", "Fe1+", 0.0608897797], + ["Fe1+", "Mn3+", 0.0608897797], + ["Mn3+", "Co1+", 0.0761538864], + ["Co1+", "Mn3+", 0.0761538864], + ["Mn3+", "Ni1+", 0.0214880292], + ["Ni1+", "Mn3+", 0.0214880292], + ["Mn3+", "Cu1+", 0.0082949371], + ["Cu1+", "Mn3+", 0.0082949371], + ["Mn3+", "Ga1+", -0.024198084], + ["Ga1+", "Mn3+", -0.024198084], + ["Mn3+", "As1-", -0.2226536442], + ["As1-", "Mn3+", -0.2226536442], + ["Mn3+", "As1+", -0.0118152341], + ["As1+", "Mn3+", -0.0118152341], + ["Mn3+", "Se1-", -0.1572259809], + ["Se1-", "Mn3+", -0.1572259809], + ["Mn3+", "Se1+", 0.0465901988], + ["Se1+", "Mn3+", 0.0465901988], + ["Mn3+", "Br1-", -0.0475471202], + ["Br1-", "Mn3+", -0.0475471202], + ["Mn3+", "Br1+", 0.1400400575], + ["Br1+", "Mn3+", 0.1400400575], + ["Mn3+", "Rb1+", 0.1871904518], + ["Rb1+", "Mn3+", 0.1871904518], + ["Mn3+", "Y1+", 0.4145653891], + ["Y1+", "Mn3+", 0.4145653891], + ["Mn3+", "Zr1+", 0.0062017368], + ["Zr1+", "Mn3+", 0.0062017368], + ["Mn3+", "Nb1+", 0.127279792], + ["Nb1+", "Mn3+", 0.127279792], + ["Mn3+", "Tc1-", -0.1666875741], + ["Tc1-", "Mn3+", -0.1666875741], + ["Mn3+", "Tc1+", 0.0643941695], + ["Tc1+", "Mn3+", 0.0643941695], + ["Mn3+", "Rh1+", -0.1062733777], + ["Rh1+", "Mn3+", -0.1062733777], + ["Mn3+", "Ag1+", 0.2209537411], + ["Ag1+", "Mn3+", 0.2209537411], + ["Mn3+", "In1+", -0.2249813314], + ["In1+", "Mn3+", -0.2249813314], + ["Mn3+", "Sb1-", -0.2982364287], + ["Sb1-", "Mn3+", -0.2982364287], + ["Mn3+", "Sb1+", 0.2750946373], + ["Sb1+", "Mn3+", 0.2750946373], + ["Mn3+", "Te1-", -0.1210231551], + ["Te1-", "Mn3+", -0.1210231551], + ["Mn3+", "Te1+", -0.1005101701], + ["Te1+", "Mn3+", -0.1005101701], + ["Mn3+", "I1-", -0.0903159596], + ["I1-", "Mn3+", -0.0903159596], + ["Mn3+", "I1+", 0.1161653296], + ["I1+", "Mn3+", 0.1161653296], + ["Mn3+", "Cs1+", 0.1355586713], + ["Cs1+", "Mn3+", 0.1355586713], + ["Mn3+", "La1+", -0.1030424283], + ["La1+", "Mn3+", -0.1030424283], + ["Mn3+", "Tb1+", -0.0610443147], + ["Tb1+", "Mn3+", -0.0610443147], + ["Mn3+", "Ta1+", -0.0785061788], + ["Ta1+", "Mn3+", -0.0785061788], + ["Mn3+", "Os1-", -0.132520574], + ["Os1-", "Mn3+", -0.132520574], + ["Mn3+", "Os1+", 0.1099162117], + ["Os1+", "Mn3+", 0.1099162117], + ["Mn3+", "Pt1-", -0.2525608294], + ["Pt1-", "Mn3+", -0.2525608294], + ["Mn3+", "Pt1+", 0.2423245066], + ["Pt1+", "Mn3+", 0.2423245066], + ["Mn3+", "Au1-", -0.0773492623], + ["Au1-", "Mn3+", -0.0773492623], + ["Mn3+", "Au1+", 0.0409672614], + ["Au1+", "Mn3+", 0.0409672614], + ["Mn3+", "Hg1+", 0.3050833284], + ["Hg1+", "Mn3+", 0.3050833284], + ["Mn3+", "Tl1+", 0.1506343799], + ["Tl1+", "Mn3+", 0.1506343799], + ["Mn3+", "Bi1+", -0.2510660237], + ["Bi1+", "Mn3+", -0.2510660237], + ["Mn4+", "Mn4+", 1.0], + ["Mn4+", "Mn7+", 0.5192920326], + ["Mn7+", "Mn4+", 0.5192920326], + ["Mn4+", "Mn6+", 0.5540200591], + ["Mn6+", "Mn4+", 0.5540200591], + ["Mn4+", "Mn5+", 0.5099887214], + ["Mn5+", "Mn4+", 0.5099887214], + ["Mn4+", "Fe2+", 0.407622147], + ["Fe2+", "Mn4+", 0.407622147], + ["Mn4+", "Fe3+", 0.5870170537], + ["Fe3+", "Mn4+", 0.5870170537], + ["Mn4+", "Fe4+", 0.7102837519], + ["Fe4+", "Mn4+", 0.7102837519], + ["Mn4+", "Fe6+", 0.1986645885], + ["Fe6+", "Mn4+", 0.1986645885], + ["Mn4+", "Fe5+", 0.2017314603], + ["Fe5+", "Mn4+", 0.2017314603], + ["Mn4+", "Co2+", 0.5030096908], + ["Co2+", "Mn4+", 0.5030096908], + ["Mn4+", "Co4+", 0.5467883204], + ["Co4+", "Mn4+", 0.5467883204], + ["Mn4+", "Co3+", 0.5348882741], + ["Co3+", "Mn4+", 0.5348882741], + ["Mn4+", "Ni2+", 0.4046400726], + ["Ni2+", "Mn4+", 0.4046400726], + ["Mn4+", "Ni4+", 0.5557038179], + ["Ni4+", "Mn4+", 0.5557038179], + ["Mn4+", "Ni3+", 0.5094228708], + ["Ni3+", "Mn4+", 0.5094228708], + ["Mn4+", "Cu2+", 0.3424861468], + ["Cu2+", "Mn4+", 0.3424861468], + ["Mn4+", "Cu3+", 0.4265758115], + ["Cu3+", "Mn4+", 0.4265758115], + ["Mn4+", "Zn2+", 0.2595372721], + ["Zn2+", "Mn4+", 0.2595372721], + ["Mn4+", "Ga3+", 0.1697934514], + ["Ga3+", "Mn4+", 0.1697934514], + ["Mn4+", "Ga4+", 0.1999736842], + ["Ga4+", "Mn4+", 0.1999736842], + ["Mn4+", "Ga2+", -0.1562711079], + ["Ga2+", "Mn4+", -0.1562711079], + ["Mn4+", "Ge4-", -0.1128809075], + ["Ge4-", "Mn4+", -0.1128809075], + ["Mn4+", "Ge4+", 0.3251836639], + ["Ge4+", "Mn4+", 0.3251836639], + ["Mn4+", "Ge2-", -0.0421608852], + ["Ge2-", "Mn4+", -0.0421608852], + ["Mn4+", "Ge2+", 0.0272737783], + ["Ge2+", "Mn4+", 0.0272737783], + ["Mn4+", "Ge3+", -0.0536192717], + ["Ge3+", "Mn4+", -0.0536192717], + ["Mn4+", "As2-", -0.1043910964], + ["As2-", "Mn4+", -0.1043910964], + ["Mn4+", "As3+", 0.0113390278], + ["As3+", "Mn4+", 0.0113390278], + ["Mn4+", "As5+", 0.503937161], + ["As5+", "Mn4+", 0.503937161], + ["Mn4+", "As3-", -0.254446684], + ["As3-", "Mn4+", -0.254446684], + ["Mn4+", "As2+", 0.0842234669], + ["As2+", "Mn4+", 0.0842234669], + ["Mn4+", "As4+", 0.320552752], + ["As4+", "Mn4+", 0.320552752], + ["Mn4+", "Se2-", -0.2020305879], + ["Se2-", "Mn4+", -0.2020305879], + ["Mn4+", "Se4+", 0.5539897477], + ["Se4+", "Mn4+", 0.5539897477], + ["Mn4+", "Se6+", 0.4761094359], + ["Se6+", "Mn4+", 0.4761094359], + ["Mn4+", "Se5+", 0.5133978129], + ["Se5+", "Mn4+", 0.5133978129], + ["Mn4+", "Se2+", -0.1048223179], + ["Se2+", "Mn4+", -0.1048223179], + ["Mn4+", "Se3+", 0.3148336875], + ["Se3+", "Mn4+", 0.3148336875], + ["Mn4+", "Br2+", 0.02938845], + ["Br2+", "Mn4+", 0.02938845], + ["Mn4+", "Br5+", 0.4524905389], + ["Br5+", "Mn4+", 0.4524905389], + ["Mn4+", "Br3+", 0.3859305043], + ["Br3+", "Mn4+", 0.3859305043], + ["Mn4+", "Sr2+", 0.4274325806], + ["Sr2+", "Mn4+", 0.4274325806], + ["Mn4+", "Y3+", 0.4288318983], + ["Y3+", "Mn4+", 0.4288318983], + ["Mn4+", "Y2+", 0.4453499111], + ["Y2+", "Mn4+", 0.4453499111], + ["Mn4+", "Zr2+", -0.2331177769], + ["Zr2+", "Mn4+", -0.2331177769], + ["Mn4+", "Zr4+", 0.4265223189], + ["Zr4+", "Mn4+", 0.4265223189], + ["Mn4+", "Zr3+", -0.0859594906], + ["Zr3+", "Mn4+", -0.0859594906], + ["Mn4+", "Nb5+", 0.4793627992], + ["Nb5+", "Mn4+", 0.4793627992], + ["Mn4+", "Nb3+", 0.0924099136], + ["Nb3+", "Mn4+", 0.0924099136], + ["Mn4+", "Nb4+", 0.2438723401], + ["Nb4+", "Mn4+", 0.2438723401], + ["Mn4+", "Nb2+", 0.0712903225], + ["Nb2+", "Mn4+", 0.0712903225], + ["Mn4+", "Nb7+", 0.357639736], + ["Nb7+", "Mn4+", 0.357639736], + ["Mn4+", "Mo3+", 0.1235557474], + ["Mo3+", "Mn4+", 0.1235557474], + ["Mn4+", "Mo4+", 0.3283593021], + ["Mo4+", "Mn4+", 0.3283593021], + ["Mn4+", "Mo6+", 0.3960114865], + ["Mo6+", "Mn4+", 0.3960114865], + ["Mn4+", "Mo5+", 0.4463353345], + ["Mo5+", "Mn4+", 0.4463353345], + ["Mn4+", "Mo2+", -0.0067578279], + ["Mo2+", "Mn4+", -0.0067578279], + ["Mn4+", "Tc4+", 0.4075301485], + ["Tc4+", "Mn4+", 0.4075301485], + ["Mn4+", "Tc3-", -0.2341182845], + ["Tc3-", "Mn4+", -0.2341182845], + ["Mn4+", "Tc3+", -0.0599319892], + ["Tc3+", "Mn4+", -0.0599319892], + ["Mn4+", "Tc7+", 0.3590453429], + ["Tc7+", "Mn4+", 0.3590453429], + ["Mn4+", "Tc5+", 0.1818702241], + ["Tc5+", "Mn4+", 0.1818702241], + ["Mn4+", "Tc6+", 0.0438671862], + ["Tc6+", "Mn4+", 0.0438671862], + ["Mn4+", "Tc2-", -0.0773930604], + ["Tc2-", "Mn4+", -0.0773930604], + ["Mn4+", "Tc2+", 0.0901902298], + ["Tc2+", "Mn4+", 0.0901902298], + ["Mn4+", "Ru2+", 0.0058612501], + ["Ru2+", "Mn4+", 0.0058612501], + ["Mn4+", "Ru6+", 0.2100338098], + ["Ru6+", "Mn4+", 0.2100338098], + ["Mn4+", "Ru4+", 0.3325986187], + ["Ru4+", "Mn4+", 0.3325986187], + ["Mn4+", "Ru5+", 0.3209598548], + ["Ru5+", "Mn4+", 0.3209598548], + ["Mn4+", "Ru3+", 0.2473163453], + ["Ru3+", "Mn4+", 0.2473163453], + ["Mn4+", "Rh4+", 0.2653100986], + ["Rh4+", "Mn4+", 0.2653100986], + ["Mn4+", "Rh3+", 0.1618630228], + ["Rh3+", "Mn4+", 0.1618630228], + ["Mn4+", "Pd2+", 0.0328565787], + ["Pd2+", "Mn4+", 0.0328565787], + ["Mn4+", "Pd4+", 0.1074955209], + ["Pd4+", "Mn4+", 0.1074955209], + ["Mn4+", "Pd3+", 0.1454545904], + ["Pd3+", "Mn4+", 0.1454545904], + ["Mn4+", "Ag3+", 0.4249432786], + ["Ag3+", "Mn4+", 0.4249432786], + ["Mn4+", "Ag2+", 0.3237770529], + ["Ag2+", "Mn4+", 0.3237770529], + ["Mn4+", "Cd2+", 0.1475245361], + ["Cd2+", "Mn4+", 0.1475245361], + ["Mn4+", "In3+", 0.1548219074], + ["In3+", "Mn4+", 0.1548219074], + ["Mn4+", "In2+", -0.1367849845], + ["In2+", "Mn4+", -0.1367849845], + ["Mn4+", "Sn4+", 0.1841627638], + ["Sn4+", "Mn4+", 0.1841627638], + ["Mn4+", "Sn3+", 0.330517563], + ["Sn3+", "Mn4+", 0.330517563], + ["Mn4+", "Sn2+", 0.0573285789], + ["Sn2+", "Mn4+", 0.0573285789], + ["Mn4+", "Sb5+", 0.4667915759], + ["Sb5+", "Mn4+", 0.4667915759], + ["Mn4+", "Sb2-", -0.0655905652], + ["Sb2-", "Mn4+", -0.0655905652], + ["Mn4+", "Sb3-", -0.269809019], + ["Sb3-", "Mn4+", -0.269809019], + ["Mn4+", "Sb3+", 0.133045321], + ["Sb3+", "Mn4+", 0.133045321], + ["Mn4+", "Sb4+", 0.449002308], + ["Sb4+", "Mn4+", 0.449002308], + ["Mn4+", "Te2-", -0.0907003574], + ["Te2-", "Mn4+", -0.0907003574], + ["Mn4+", "Te4+", 0.3773917303], + ["Te4+", "Mn4+", 0.3773917303], + ["Mn4+", "Te6+", 0.5497971476], + ["Te6+", "Mn4+", 0.5497971476], + ["Mn4+", "Te2+", -0.1212291686], + ["Te2+", "Mn4+", -0.1212291686], + ["Mn4+", "Te5+", 0.293876719], + ["Te5+", "Mn4+", 0.293876719], + ["Mn4+", "I3+", 0.2156019306], + ["I3+", "Mn4+", 0.2156019306], + ["Mn4+", "I7+", 0.4190080619], + ["I7+", "Mn4+", 0.4190080619], + ["Mn4+", "I5+", 0.5026715139], + ["I5+", "Mn4+", 0.5026715139], + ["Mn4+", "I2+", 0.2426594397], + ["I2+", "Mn4+", 0.2426594397], + ["Mn4+", "Ba2+", 0.3309455156], + ["Ba2+", "Mn4+", 0.3309455156], + ["Mn4+", "La3+", 0.2916363927], + ["La3+", "Mn4+", 0.2916363927], + ["Mn4+", "La2+", 0.1936314622], + ["La2+", "Mn4+", 0.1936314622], + ["Mn4+", "Ce3+", 0.0162872713], + ["Ce3+", "Mn4+", 0.0162872713], + ["Mn4+", "Ce2+", -0.0027419633], + ["Ce2+", "Mn4+", -0.0027419633], + ["Mn4+", "Ce4+", 0.2854491105], + ["Ce4+", "Mn4+", 0.2854491105], + ["Mn4+", "Pr3+", 0.1568680654], + ["Pr3+", "Mn4+", 0.1568680654], + ["Mn4+", "Pr4+", 0.4758587476], + ["Pr4+", "Mn4+", 0.4758587476], + ["Mn4+", "Pr2+", 0.1836819352], + ["Pr2+", "Mn4+", 0.1836819352], + ["Mn4+", "Nd3+", 0.2915957101], + ["Nd3+", "Mn4+", 0.2915957101], + ["Mn4+", "Nd2+", 0.1895987733], + ["Nd2+", "Mn4+", 0.1895987733], + ["Mn4+", "Pm3+", 0.0435794021], + ["Pm3+", "Mn4+", 0.0435794021], + ["Mn4+", "Sm3+", 0.2068301188], + ["Sm3+", "Mn4+", 0.2068301188], + ["Mn4+", "Sm2+", -0.063334649], + ["Sm2+", "Mn4+", -0.063334649], + ["Mn4+", "Eu2+", 0.0820174538], + ["Eu2+", "Mn4+", 0.0820174538], + ["Mn4+", "Eu3+", 0.4170517403], + ["Eu3+", "Mn4+", 0.4170517403], + ["Mn4+", "Gd2+", 0.0102806547], + ["Gd2+", "Mn4+", 0.0102806547], + ["Mn4+", "Gd3+", 0.3250740278], + ["Gd3+", "Mn4+", 0.3250740278], + ["Mn4+", "Tb3+", 0.167372366], + ["Tb3+", "Mn4+", 0.167372366], + ["Mn4+", "Tb2+", 0.0070755031], + ["Tb2+", "Mn4+", 0.0070755031], + ["Mn4+", "Tb4+", 0.5038976906], + ["Tb4+", "Mn4+", 0.5038976906], + ["Mn4+", "Dy3+", 0.1605827323], + ["Dy3+", "Mn4+", 0.1605827323], + ["Mn4+", "Dy2+", 0.0541375895], + ["Dy2+", "Mn4+", 0.0541375895], + ["Mn4+", "Ho3+", 0.2351943408], + ["Ho3+", "Mn4+", 0.2351943408], + ["Mn4+", "Ho2+", 0.077151612], + ["Ho2+", "Mn4+", 0.077151612], + ["Mn4+", "Er3+", 0.2635439518], + ["Er3+", "Mn4+", 0.2635439518], + ["Mn4+", "Tm3+", 0.2255868579], + ["Tm3+", "Mn4+", 0.2255868579], + ["Mn4+", "Tm2+", -0.0533669811], + ["Tm2+", "Mn4+", -0.0533669811], + ["Mn4+", "Yb3+", 0.1969460227], + ["Yb3+", "Mn4+", 0.1969460227], + ["Mn4+", "Yb2+", -0.3163020849], + ["Yb2+", "Mn4+", -0.3163020849], + ["Mn4+", "Lu3+", 0.2400451621], + ["Lu3+", "Mn4+", 0.2400451621], + ["Mn4+", "Hf3+", 0.026329431], + ["Hf3+", "Mn4+", 0.026329431], + ["Mn4+", "Hf2+", 0.3079088853], + ["Hf2+", "Mn4+", 0.3079088853], + ["Mn4+", "Hf4+", 0.4263999385], + ["Hf4+", "Mn4+", 0.4263999385], + ["Mn4+", "Ta5+", 0.4781023395], + ["Ta5+", "Mn4+", 0.4781023395], + ["Mn4+", "Ta3+", -0.0928607103], + ["Ta3+", "Mn4+", -0.0928607103], + ["Mn4+", "Ta4+", 0.0867939335], + ["Ta4+", "Mn4+", 0.0867939335], + ["Mn4+", "Ta2+", -0.1730060303], + ["Ta2+", "Mn4+", -0.1730060303], + ["Mn4+", "W6+", 0.4905683073], + ["W6+", "Mn4+", 0.4905683073], + ["Mn4+", "W4+", 0.3051065611], + ["W4+", "Mn4+", 0.3051065611], + ["Mn4+", "W2+", -0.017430461], + ["W2+", "Mn4+", -0.017430461], + ["Mn4+", "W3+", 0.2649612496], + ["W3+", "Mn4+", 0.2649612496], + ["Mn4+", "W5+", 0.4214859378], + ["W5+", "Mn4+", 0.4214859378], + ["Mn4+", "Re5+", 0.2411194655], + ["Re5+", "Mn4+", 0.2411194655], + ["Mn4+", "Re3+", -0.1706148641], + ["Re3+", "Mn4+", -0.1706148641], + ["Mn4+", "Re6+", 0.1538776145], + ["Re6+", "Mn4+", 0.1538776145], + ["Mn4+", "Re2+", 0.150300841], + ["Re2+", "Mn4+", 0.150300841], + ["Mn4+", "Re4+", 0.1049190169], + ["Re4+", "Mn4+", 0.1049190169], + ["Mn4+", "Re7+", 0.2409482852], + ["Re7+", "Mn4+", 0.2409482852], + ["Mn4+", "Os7+", 0.217472265], + ["Os7+", "Mn4+", 0.217472265], + ["Mn4+", "Os6+", 0.2401576127], + ["Os6+", "Mn4+", 0.2401576127], + ["Mn4+", "Os5+", 0.2275804568], + ["Os5+", "Mn4+", 0.2275804568], + ["Mn4+", "Os2-", -0.2201480381], + ["Os2-", "Mn4+", -0.2201480381], + ["Mn4+", "Os3+", -0.01674143], + ["Os3+", "Mn4+", -0.01674143], + ["Mn4+", "Os4+", 0.138800683], + ["Os4+", "Mn4+", 0.138800683], + ["Mn4+", "Os8+", 0.2241571294], + ["Os8+", "Mn4+", 0.2241571294], + ["Mn4+", "Os2+", 0.2114616243], + ["Os2+", "Mn4+", 0.2114616243], + ["Mn4+", "Ir3+", 0.0109240038], + ["Ir3+", "Mn4+", 0.0109240038], + ["Mn4+", "Ir4+", 0.2661995028], + ["Ir4+", "Mn4+", 0.2661995028], + ["Mn4+", "Ir5+", 0.1840720869], + ["Ir5+", "Mn4+", 0.1840720869], + ["Mn4+", "Ir6+", 0.1641536731], + ["Ir6+", "Mn4+", 0.1641536731], + ["Mn4+", "Pt2+", -0.0975320743], + ["Pt2+", "Mn4+", -0.0975320743], + ["Mn4+", "Pt2-", -0.3728018701], + ["Pt2-", "Mn4+", -0.3728018701], + ["Mn4+", "Pt4+", 0.2756000875], + ["Pt4+", "Mn4+", 0.2756000875], + ["Mn4+", "Pt3+", 0.4214925214], + ["Pt3+", "Mn4+", 0.4214925214], + ["Mn4+", "Pt5+", 0.0370334311], + ["Pt5+", "Mn4+", 0.0370334311], + ["Mn4+", "Pt6+", 0.2447590882], + ["Pt6+", "Mn4+", 0.2447590882], + ["Mn4+", "Au2+", 0.0346120053], + ["Au2+", "Mn4+", 0.0346120053], + ["Mn4+", "Au3+", 0.1066967641], + ["Au3+", "Mn4+", 0.1066967641], + ["Mn4+", "Au5+", 0.0318462225], + ["Au5+", "Mn4+", 0.0318462225], + ["Mn4+", "Au4+", -0.1171731779], + ["Au4+", "Mn4+", -0.1171731779], + ["Mn4+", "Hg2+", -0.0171358399], + ["Hg2+", "Mn4+", -0.0171358399], + ["Mn4+", "Tl3+", 0.3013792444], + ["Tl3+", "Mn4+", 0.3013792444], + ["Mn4+", "Tl2+", 0.2398062183], + ["Tl2+", "Mn4+", 0.2398062183], + ["Mn4+", "Pb2+", 0.243710112], + ["Pb2+", "Mn4+", 0.243710112], + ["Mn4+", "Pb3+", 0.3123904974], + ["Pb3+", "Mn4+", 0.3123904974], + ["Mn4+", "Pb4+", 0.3157078727], + ["Pb4+", "Mn4+", 0.3157078727], + ["Mn4+", "Bi3+", 0.3536389933], + ["Bi3+", "Mn4+", 0.3536389933], + ["Mn4+", "Bi5+", 0.5856589334], + ["Bi5+", "Mn4+", 0.5856589334], + ["Mn4+", "Bi2+", 0.0495984754], + ["Bi2+", "Mn4+", 0.0495984754], + ["Mn4+", "Bi3-", -0.1106890852], + ["Bi3-", "Mn4+", -0.1106890852], + ["Mn4+", "Bi4+", 0.5052556361], + ["Bi4+", "Mn4+", 0.5052556361], + ["Mn4+", "Ac3+", -0.0684382126], + ["Ac3+", "Mn4+", -0.0684382126], + ["Mn4+", "Th4+", 0.2308354115], + ["Th4+", "Mn4+", 0.2308354115], + ["Mn4+", "Th3+", -0.1069330712], + ["Th3+", "Mn4+", -0.1069330712], + ["Mn4+", "Pa4+", 0.1080207615], + ["Pa4+", "Mn4+", 0.1080207615], + ["Mn4+", "Pa5+", 0.2785903441], + ["Pa5+", "Mn4+", 0.2785903441], + ["Mn4+", "Pa3+", 0.059666728], + ["Pa3+", "Mn4+", 0.059666728], + ["Mn4+", "U6+", 0.3945238812], + ["U6+", "Mn4+", 0.3945238812], + ["Mn4+", "U4+", 0.0222387519], + ["U4+", "Mn4+", 0.0222387519], + ["Mn4+", "U3+", -0.3219703674], + ["U3+", "Mn4+", -0.3219703674], + ["Mn4+", "U2+", -0.1867860532], + ["U2+", "Mn4+", -0.1867860532], + ["Mn4+", "U5+", 0.4692610595], + ["U5+", "Mn4+", 0.4692610595], + ["Mn4+", "Np6+", 0.2703467765], + ["Np6+", "Mn4+", 0.2703467765], + ["Mn4+", "Np4+", 0.3134257193], + ["Np4+", "Mn4+", 0.3134257193], + ["Mn4+", "Np3+", -0.2168460446], + ["Np3+", "Mn4+", -0.2168460446], + ["Mn4+", "Np7+", 0.2810714247], + ["Np7+", "Mn4+", 0.2810714247], + ["Mn4+", "Np5+", 0.2271928074], + ["Np5+", "Mn4+", 0.2271928074], + ["Mn4+", "Pu7+", 0.5321498759], + ["Pu7+", "Mn4+", 0.5321498759], + ["Mn4+", "Pu6+", 0.1138932394], + ["Pu6+", "Mn4+", 0.1138932394], + ["Mn4+", "Pu3+", -0.0742242771], + ["Pu3+", "Mn4+", -0.0742242771], + ["Mn4+", "Pu4+", 0.3518048511], + ["Pu4+", "Mn4+", 0.3518048511], + ["Mn4+", "Pu5+", 0.1950370929], + ["Pu5+", "Mn4+", 0.1950370929], + ["Mn4+", "H1+", 0.4345069759], + ["H1+", "Mn4+", 0.4345069759], + ["Mn4+", "H1-", -0.0066484568], + ["H1-", "Mn4+", -0.0066484568], + ["Mn4+", "Li1+", 0.5641071666], + ["Li1+", "Mn4+", 0.5641071666], + ["Mn4+", "B1+", 0.0120621529], + ["B1+", "Mn4+", 0.0120621529], + ["Mn4+", "B1-", 0.0592677424], + ["B1-", "Mn4+", 0.0592677424], + ["Mn4+", "C1-", 0.0277270728], + ["C1-", "Mn4+", 0.0277270728], + ["Mn4+", "C1+", 0.2456862248], + ["C1+", "Mn4+", 0.2456862248], + ["Mn4+", "N1-", -0.0668168578], + ["N1-", "Mn4+", -0.0668168578], + ["Mn4+", "N1+", 0.1623158778], + ["N1+", "Mn4+", 0.1623158778], + ["Mn4+", "O1-", 0.1339969947], + ["O1-", "Mn4+", 0.1339969947], + ["Mn4+", "F1-", -0.0999359058], + ["F1-", "Mn4+", -0.0999359058], + ["Mn4+", "Na1+", 0.5348860036], + ["Na1+", "Mn4+", 0.5348860036], + ["Mn4+", "Si1-", -0.104023088], + ["Si1-", "Mn4+", -0.104023088], + ["Mn4+", "P1+", 0.0274144427], + ["P1+", "Mn4+", 0.0274144427], + ["Mn4+", "P1-", 0.0171540562], + ["P1-", "Mn4+", 0.0171540562], + ["Mn4+", "S1-", -0.1362915619], + ["S1-", "Mn4+", -0.1362915619], + ["Mn4+", "S1+", 0.0511333484], + ["S1+", "Mn4+", 0.0511333484], + ["Mn4+", "Cl1-", -0.1252795237], + ["Cl1-", "Mn4+", -0.1252795237], + ["Mn4+", "K1+", 0.1895819197], + ["K1+", "Mn4+", 0.1895819197], + ["Mn4+", "Sc1+", -0.0219944157], + ["Sc1+", "Mn4+", -0.0219944157], + ["Mn4+", "Mn1+", 0.2705693747], + ["Mn1+", "Mn4+", 0.2705693747], + ["Mn4+", "Fe1+", 0.05668804], + ["Fe1+", "Mn4+", 0.05668804], + ["Mn4+", "Co1+", 0.0914675883], + ["Co1+", "Mn4+", 0.0914675883], + ["Mn4+", "Ni1+", -0.0903580321], + ["Ni1+", "Mn4+", -0.0903580321], + ["Mn4+", "Cu1+", -0.0810034673], + ["Cu1+", "Mn4+", -0.0810034673], + ["Mn4+", "Ga1+", -0.1254666409], + ["Ga1+", "Mn4+", -0.1254666409], + ["Mn4+", "As1-", -0.144513486], + ["As1-", "Mn4+", -0.144513486], + ["Mn4+", "As1+", 0.0500614319], + ["As1+", "Mn4+", 0.0500614319], + ["Mn4+", "Se1-", -0.2694652644], + ["Se1-", "Mn4+", -0.2694652644], + ["Mn4+", "Se1+", 0.2590153796], + ["Se1+", "Mn4+", 0.2590153796], + ["Mn4+", "Br1-", -0.1102639619], + ["Br1-", "Mn4+", -0.1102639619], + ["Mn4+", "Br1+", 0.1139617347], + ["Br1+", "Mn4+", 0.1139617347], + ["Mn4+", "Rb1+", 0.1183631166], + ["Rb1+", "Mn4+", 0.1183631166], + ["Mn4+", "Y1+", 0.1933614897], + ["Y1+", "Mn4+", 0.1933614897], + ["Mn4+", "Zr1+", -0.2849928967], + ["Zr1+", "Mn4+", -0.2849928967], + ["Mn4+", "Nb1+", 0.0490425666], + ["Nb1+", "Mn4+", 0.0490425666], + ["Mn4+", "Tc1-", -0.1734866205], + ["Tc1-", "Mn4+", -0.1734866205], + ["Mn4+", "Tc1+", 0.0423683613], + ["Tc1+", "Mn4+", 0.0423683613], + ["Mn4+", "Rh1+", -0.0700502443], + ["Rh1+", "Mn4+", -0.0700502443], + ["Mn4+", "Ag1+", 0.0794733289], + ["Ag1+", "Mn4+", 0.0794733289], + ["Mn4+", "In1+", -0.145079058], + ["In1+", "Mn4+", -0.145079058], + ["Mn4+", "Sb1-", -0.2718541472], + ["Sb1-", "Mn4+", -0.2718541472], + ["Mn4+", "Sb1+", 0.12467224], + ["Sb1+", "Mn4+", 0.12467224], + ["Mn4+", "Te1-", -0.1152917467], + ["Te1-", "Mn4+", -0.1152917467], + ["Mn4+", "Te1+", -0.0132243916], + ["Te1+", "Mn4+", -0.0132243916], + ["Mn4+", "I1-", 0.0059775072], + ["I1-", "Mn4+", 0.0059775072], + ["Mn4+", "I1+", 0.1128550227], + ["I1+", "Mn4+", 0.1128550227], + ["Mn4+", "Cs1+", 0.0029722354], + ["Cs1+", "Mn4+", 0.0029722354], + ["Mn4+", "La1+", -0.077916956], + ["La1+", "Mn4+", -0.077916956], + ["Mn4+", "Tb1+", -0.1527199496], + ["Tb1+", "Mn4+", -0.1527199496], + ["Mn4+", "Ta1+", -0.1957448446], + ["Ta1+", "Mn4+", -0.1957448446], + ["Mn4+", "Os1-", -0.2071243394], + ["Os1-", "Mn4+", -0.2071243394], + ["Mn4+", "Os1+", 0.0100006755], + ["Os1+", "Mn4+", 0.0100006755], + ["Mn4+", "Pt1-", -0.3379859749], + ["Pt1-", "Mn4+", -0.3379859749], + ["Mn4+", "Pt1+", 0.2020510788], + ["Pt1+", "Mn4+", 0.2020510788], + ["Mn4+", "Au1-", -0.2466523908], + ["Au1-", "Mn4+", -0.2466523908], + ["Mn4+", "Au1+", -0.1290099013], + ["Au1+", "Mn4+", -0.1290099013], + ["Mn4+", "Hg1+", 0.3033846551], + ["Hg1+", "Mn4+", 0.3033846551], + ["Mn4+", "Tl1+", 0.0135043076], + ["Tl1+", "Mn4+", 0.0135043076], + ["Mn4+", "Bi1+", -0.1027557511], + ["Bi1+", "Mn4+", -0.1027557511], + ["Mn7+", "Mn7+", 1.0], + ["Mn7+", "Mn6+", 0.4939137552], + ["Mn6+", "Mn7+", 0.4939137552], + ["Mn7+", "Mn5+", 0.3701053372], + ["Mn5+", "Mn7+", 0.3701053372], + ["Mn7+", "Fe2+", 0.2618387238], + ["Fe2+", "Mn7+", 0.2618387238], + ["Mn7+", "Fe3+", 0.4114290609], + ["Fe3+", "Mn7+", 0.4114290609], + ["Mn7+", "Fe4+", 0.4874865714], + ["Fe4+", "Mn7+", 0.4874865714], + ["Mn7+", "Fe6+", 0.3388780268], + ["Fe6+", "Mn7+", 0.3388780268], + ["Mn7+", "Fe5+", 0.1998687642], + ["Fe5+", "Mn7+", 0.1998687642], + ["Mn7+", "Co2+", 0.4907130445], + ["Co2+", "Mn7+", 0.4907130445], + ["Mn7+", "Co4+", 0.4456292633], + ["Co4+", "Mn7+", 0.4456292633], + ["Mn7+", "Co3+", 0.4677735338], + ["Co3+", "Mn7+", 0.4677735338], + ["Mn7+", "Ni2+", 0.4858507707], + ["Ni2+", "Mn7+", 0.4858507707], + ["Mn7+", "Ni4+", 0.2905181356], + ["Ni4+", "Mn7+", 0.2905181356], + ["Mn7+", "Ni3+", 0.4017376102], + ["Ni3+", "Mn7+", 0.4017376102], + ["Mn7+", "Cu2+", 0.3309486977], + ["Cu2+", "Mn7+", 0.3309486977], + ["Mn7+", "Cu3+", 0.4451357606], + ["Cu3+", "Mn7+", 0.4451357606], + ["Mn7+", "Zn2+", 0.1965407453], + ["Zn2+", "Mn7+", 0.1965407453], + ["Mn7+", "Ga3+", 0.2123727998], + ["Ga3+", "Mn7+", 0.2123727998], + ["Mn7+", "Ga4+", 0.256355587], + ["Ga4+", "Mn7+", 0.256355587], + ["Mn7+", "Ga2+", 0.0566569801], + ["Ga2+", "Mn7+", 0.0566569801], + ["Mn7+", "Ge4-", 0.0567093207], + ["Ge4-", "Mn7+", 0.0567093207], + ["Mn7+", "Ge4+", 0.4195853307], + ["Ge4+", "Mn7+", 0.4195853307], + ["Mn7+", "Ge2-", 0.1447760357], + ["Ge2-", "Mn7+", 0.1447760357], + ["Mn7+", "Ge2+", 0.0634429646], + ["Ge2+", "Mn7+", 0.0634429646], + ["Mn7+", "Ge3+", 0.1842292299], + ["Ge3+", "Mn7+", 0.1842292299], + ["Mn7+", "As2-", 0.1349764036], + ["As2-", "Mn7+", 0.1349764036], + ["Mn7+", "As3+", 0.0259453883], + ["As3+", "Mn7+", 0.0259453883], + ["Mn7+", "As5+", 0.2949942536], + ["As5+", "Mn7+", 0.2949942536], + ["Mn7+", "As3-", 0.0527487673], + ["As3-", "Mn7+", 0.0527487673], + ["Mn7+", "As2+", 0.0868994108], + ["As2+", "Mn7+", 0.0868994108], + ["Mn7+", "As4+", 0.2917631306], + ["As4+", "Mn7+", 0.2917631306], + ["Mn7+", "Se2-", 0.0245764314], + ["Se2-", "Mn7+", 0.0245764314], + ["Mn7+", "Se4+", 0.4248596753], + ["Se4+", "Mn7+", 0.4248596753], + ["Mn7+", "Se6+", 0.5067001073], + ["Se6+", "Mn7+", 0.5067001073], + ["Mn7+", "Se5+", 0.603367321], + ["Se5+", "Mn7+", 0.603367321], + ["Mn7+", "Se2+", 0.1998776945], + ["Se2+", "Mn7+", 0.1998776945], + ["Mn7+", "Se3+", 0.3672834759], + ["Se3+", "Mn7+", 0.3672834759], + ["Mn7+", "Br2+", 0.1829017424], + ["Br2+", "Mn7+", 0.1829017424], + ["Mn7+", "Br5+", 0.4351656667], + ["Br5+", "Mn7+", 0.4351656667], + ["Mn7+", "Br3+", 0.5120907884], + ["Br3+", "Mn7+", 0.5120907884], + ["Mn7+", "Sr2+", 0.3637772628], + ["Sr2+", "Mn7+", 0.3637772628], + ["Mn7+", "Y3+", 0.4025267708], + ["Y3+", "Mn7+", 0.4025267708], + ["Mn7+", "Y2+", 0.4692260809], + ["Y2+", "Mn7+", 0.4692260809], + ["Mn7+", "Zr2+", -0.1230275595], + ["Zr2+", "Mn7+", -0.1230275595], + ["Mn7+", "Zr4+", 0.3876107022], + ["Zr4+", "Mn7+", 0.3876107022], + ["Mn7+", "Zr3+", -0.0304564749], + ["Zr3+", "Mn7+", -0.0304564749], + ["Mn7+", "Nb5+", 0.4912074378], + ["Nb5+", "Mn7+", 0.4912074378], + ["Mn7+", "Nb3+", 0.0110559026], + ["Nb3+", "Mn7+", 0.0110559026], + ["Mn7+", "Nb4+", 0.1963794658], + ["Nb4+", "Mn7+", 0.1963794658], + ["Mn7+", "Nb2+", 0.1379347229], + ["Nb2+", "Mn7+", 0.1379347229], + ["Mn7+", "Nb7+", 0.4505985674], + ["Nb7+", "Mn7+", 0.4505985674], + ["Mn7+", "Mo3+", 0.1482710669], + ["Mo3+", "Mn7+", 0.1482710669], + ["Mn7+", "Mo4+", 0.342710448], + ["Mo4+", "Mn7+", 0.342710448], + ["Mn7+", "Mo6+", 0.2414621439], + ["Mo6+", "Mn7+", 0.2414621439], + ["Mn7+", "Mo5+", 0.2632287544], + ["Mo5+", "Mn7+", 0.2632287544], + ["Mn7+", "Mo2+", 0.1160597221], + ["Mo2+", "Mn7+", 0.1160597221], + ["Mn7+", "Tc4+", 0.1338952961], + ["Tc4+", "Mn7+", 0.1338952961], + ["Mn7+", "Tc3-", -0.0983696346], + ["Tc3-", "Mn7+", -0.0983696346], + ["Mn7+", "Tc3+", -0.0108325494], + ["Tc3+", "Mn7+", -0.0108325494], + ["Mn7+", "Tc7+", 0.3167959823], + ["Tc7+", "Mn7+", 0.3167959823], + ["Mn7+", "Tc5+", 0.2841074264], + ["Tc5+", "Mn7+", 0.2841074264], + ["Mn7+", "Tc6+", 0.0448857601], + ["Tc6+", "Mn7+", 0.0448857601], + ["Mn7+", "Tc2-", -0.1312788248], + ["Tc2-", "Mn7+", -0.1312788248], + ["Mn7+", "Tc2+", 0.0903335582], + ["Tc2+", "Mn7+", 0.0903335582], + ["Mn7+", "Ru2+", 0.1140798825], + ["Ru2+", "Mn7+", 0.1140798825], + ["Mn7+", "Ru6+", 0.5092201237], + ["Ru6+", "Mn7+", 0.5092201237], + ["Mn7+", "Ru4+", 0.2826441886], + ["Ru4+", "Mn7+", 0.2826441886], + ["Mn7+", "Ru5+", 0.3988447394], + ["Ru5+", "Mn7+", 0.3988447394], + ["Mn7+", "Ru3+", 0.1069164444], + ["Ru3+", "Mn7+", 0.1069164444], + ["Mn7+", "Rh4+", 0.2268522458], + ["Rh4+", "Mn7+", 0.2268522458], + ["Mn7+", "Rh3+", 0.1585191723], + ["Rh3+", "Mn7+", 0.1585191723], + ["Mn7+", "Pd2+", 0.0650531738], + ["Pd2+", "Mn7+", 0.0650531738], + ["Mn7+", "Pd4+", 0.1101093085], + ["Pd4+", "Mn7+", 0.1101093085], + ["Mn7+", "Pd3+", -0.0167427684], + ["Pd3+", "Mn7+", -0.0167427684], + ["Mn7+", "Ag3+", 0.4022782524], + ["Ag3+", "Mn7+", 0.4022782524], + ["Mn7+", "Ag2+", 0.090900672], + ["Ag2+", "Mn7+", 0.090900672], + ["Mn7+", "Cd2+", 0.1056079983], + ["Cd2+", "Mn7+", 0.1056079983], + ["Mn7+", "In3+", 0.2616044305], + ["In3+", "Mn7+", 0.2616044305], + ["Mn7+", "In2+", 0.0717329088], + ["In2+", "Mn7+", 0.0717329088], + ["Mn7+", "Sn4+", 0.3555139967], + ["Sn4+", "Mn7+", 0.3555139967], + ["Mn7+", "Sn3+", 0.3381641257], + ["Sn3+", "Mn7+", 0.3381641257], + ["Mn7+", "Sn2+", 0.1738430634], + ["Sn2+", "Mn7+", 0.1738430634], + ["Mn7+", "Sb5+", 0.423959976], + ["Sb5+", "Mn7+", 0.423959976], + ["Mn7+", "Sb2-", -0.0892016958], + ["Sb2-", "Mn7+", -0.0892016958], + ["Mn7+", "Sb3-", -0.0268587584], + ["Sb3-", "Mn7+", -0.0268587584], + ["Mn7+", "Sb3+", 0.15233444], + ["Sb3+", "Mn7+", 0.15233444], + ["Mn7+", "Sb4+", 0.4014759048], + ["Sb4+", "Mn7+", 0.4014759048], + ["Mn7+", "Te2-", 0.1004075561], + ["Te2-", "Mn7+", 0.1004075561], + ["Mn7+", "Te4+", 0.334203124], + ["Te4+", "Mn7+", 0.334203124], + ["Mn7+", "Te6+", 0.3212576728], + ["Te6+", "Mn7+", 0.3212576728], + 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0.1266182148], + ["Mn7+", "Nd3+", 0.3204652151], + ["Nd3+", "Mn7+", 0.3204652151], + ["Mn7+", "Nd2+", 0.2983039029], + ["Nd2+", "Mn7+", 0.2983039029], + ["Mn7+", "Pm3+", 0.2145679569], + ["Pm3+", "Mn7+", 0.2145679569], + ["Mn7+", "Sm3+", 0.2135715346], + ["Sm3+", "Mn7+", 0.2135715346], + ["Mn7+", "Sm2+", 0.0230636232], + ["Sm2+", "Mn7+", 0.0230636232], + ["Mn7+", "Eu2+", 0.2554384318], + ["Eu2+", "Mn7+", 0.2554384318], + ["Mn7+", "Eu3+", 0.4419980708], + ["Eu3+", "Mn7+", 0.4419980708], + ["Mn7+", "Gd2+", 0.0083161156], + ["Gd2+", "Mn7+", 0.0083161156], + ["Mn7+", "Gd3+", 0.265498116], + ["Gd3+", "Mn7+", 0.265498116], + ["Mn7+", "Tb3+", 0.1915162796], + ["Tb3+", "Mn7+", 0.1915162796], + ["Mn7+", "Tb2+", 0.0471079578], + ["Tb2+", "Mn7+", 0.0471079578], + ["Mn7+", "Tb4+", 0.2559055893], + ["Tb4+", "Mn7+", 0.2559055893], + ["Mn7+", "Dy3+", 0.1621497556], + ["Dy3+", "Mn7+", 0.1621497556], + ["Mn7+", "Dy2+", 0.0989386864], + ["Dy2+", "Mn7+", 0.0989386864], + ["Mn7+", "Ho3+", 0.216114816], + 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"W6+", 0.5007369752], + ["W6+", "Mn7+", 0.5007369752], + ["Mn7+", "W4+", 0.4223694922], + ["W4+", "Mn7+", 0.4223694922], + ["Mn7+", "W2+", 0.0087648769], + ["W2+", "Mn7+", 0.0087648769], + ["Mn7+", "W3+", 0.1720765688], + ["W3+", "Mn7+", 0.1720765688], + ["Mn7+", "W5+", 0.2970317401], + ["W5+", "Mn7+", 0.2970317401], + ["Mn7+", "Re5+", 0.4273243737], + ["Re5+", "Mn7+", 0.4273243737], + ["Mn7+", "Re3+", -0.0927195421], + ["Re3+", "Mn7+", -0.0927195421], + ["Mn7+", "Re6+", 0.2990451695], + ["Re6+", "Mn7+", 0.2990451695], + ["Mn7+", "Re2+", 0.2138108233], + ["Re2+", "Mn7+", 0.2138108233], + ["Mn7+", "Re4+", 0.1492720097], + ["Re4+", "Mn7+", 0.1492720097], + ["Mn7+", "Re7+", 0.3950113597], + ["Re7+", "Mn7+", 0.3950113597], + ["Mn7+", "Os7+", 0.2734083286], + ["Os7+", "Mn7+", 0.2734083286], + ["Mn7+", "Os6+", 0.2971268054], + ["Os6+", "Mn7+", 0.2971268054], + ["Mn7+", "Os5+", 0.2197014075], + ["Os5+", "Mn7+", 0.2197014075], + ["Mn7+", "Os2-", -0.1260259893], + ["Os2-", "Mn7+", 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0.0121565539], + ["Au2+", "Mn7+", 0.0121565539], + ["Mn7+", "Au3+", -0.0510740829], + ["Au3+", "Mn7+", -0.0510740829], + ["Mn7+", "Au5+", 0.1796550807], + ["Au5+", "Mn7+", 0.1796550807], + ["Mn7+", "Au4+", -0.0943149312], + ["Au4+", "Mn7+", -0.0943149312], + ["Mn7+", "Hg2+", 0.0271827473], + ["Hg2+", "Mn7+", 0.0271827473], + ["Mn7+", "Tl3+", 0.1310672168], + ["Tl3+", "Mn7+", 0.1310672168], + ["Mn7+", "Tl2+", 0.1550132249], + ["Tl2+", "Mn7+", 0.1550132249], + ["Mn7+", "Pb2+", 0.2243341631], + ["Pb2+", "Mn7+", 0.2243341631], + ["Mn7+", "Pb3+", 0.3473776071], + ["Pb3+", "Mn7+", 0.3473776071], + ["Mn7+", "Pb4+", 0.3636620906], + ["Pb4+", "Mn7+", 0.3636620906], + ["Mn7+", "Bi3+", 0.3359044261], + ["Bi3+", "Mn7+", 0.3359044261], + ["Mn7+", "Bi5+", 0.421429122], + ["Bi5+", "Mn7+", 0.421429122], + ["Mn7+", "Bi2+", 0.2412824859], + ["Bi2+", "Mn7+", 0.2412824859], + ["Mn7+", "Bi3-", 0.0974338569], + ["Bi3-", "Mn7+", 0.0974338569], + ["Mn7+", "Bi4+", 0.388510035], + ["Bi4+", "Mn7+", 0.388510035], 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0.3353510348], + ["Mn7+", "Np5+", 0.3284818424], + ["Np5+", "Mn7+", 0.3284818424], + ["Mn7+", "Pu7+", 0.6475244139], + ["Pu7+", "Mn7+", 0.6475244139], + ["Mn7+", "Pu6+", 0.1118790045], + ["Pu6+", "Mn7+", 0.1118790045], + ["Mn7+", "Pu3+", 0.0694477638], + ["Pu3+", "Mn7+", 0.0694477638], + ["Mn7+", "Pu4+", 0.2891211901], + ["Pu4+", "Mn7+", 0.2891211901], + ["Mn7+", "Pu5+", 0.2799622765], + ["Pu5+", "Mn7+", 0.2799622765], + ["Mn7+", "H1+", 0.4718542394], + ["H1+", "Mn7+", 0.4718542394], + ["Mn7+", "H1-", 0.2493613865], + ["H1-", "Mn7+", 0.2493613865], + ["Mn7+", "Li1+", 0.4602634377], + ["Li1+", "Mn7+", 0.4602634377], + ["Mn7+", "B1+", 0.0132355873], + ["B1+", "Mn7+", 0.0132355873], + ["Mn7+", "B1-", 0.3249495307], + ["B1-", "Mn7+", 0.3249495307], + ["Mn7+", "C1-", 0.306710053], + ["C1-", "Mn7+", 0.306710053], + ["Mn7+", "C1+", 0.273890018], + ["C1+", "Mn7+", 0.273890018], + ["Mn7+", "N1-", 0.3525612732], + ["N1-", "Mn7+", 0.3525612732], + ["Mn7+", "N1+", 0.2723474381], + ["N1+", "Mn7+", 0.2723474381], + ["Mn7+", "O1-", 0.1703905234], + ["O1-", "Mn7+", 0.1703905234], + ["Mn7+", "F1-", 0.1391625628], + ["F1-", "Mn7+", 0.1391625628], + ["Mn7+", "Na1+", 0.5777318827], + ["Na1+", "Mn7+", 0.5777318827], + ["Mn7+", "Si1-", -0.0119582531], + ["Si1-", "Mn7+", -0.0119582531], + ["Mn7+", "P1+", -0.0378230112], + ["P1+", "Mn7+", -0.0378230112], + ["Mn7+", "P1-", 0.0625216857], + ["P1-", "Mn7+", 0.0625216857], + ["Mn7+", "S1-", 0.0691328387], + ["S1-", "Mn7+", 0.0691328387], + ["Mn7+", "S1+", 0.145355561], + ["S1+", "Mn7+", 0.145355561], + ["Mn7+", "Cl1-", 0.1640694005], + ["Cl1-", "Mn7+", 0.1640694005], + ["Mn7+", "K1+", 0.2107567181], + ["K1+", "Mn7+", 0.2107567181], + ["Mn7+", "Sc1+", -0.0816152132], + ["Sc1+", "Mn7+", -0.0816152132], + ["Mn7+", "Mn1+", 0.2059194058], + ["Mn1+", "Mn7+", 0.2059194058], + ["Mn7+", "Fe1+", 0.1590279734], + ["Fe1+", "Mn7+", 0.1590279734], + ["Mn7+", "Co1+", 0.1872314453], + ["Co1+", "Mn7+", 0.1872314453], + ["Mn7+", "Ni1+", 0.0591485955], + ["Ni1+", "Mn7+", 0.0591485955], + ["Mn7+", "Cu1+", 0.0211742822], + ["Cu1+", "Mn7+", 0.0211742822], + ["Mn7+", "Ga1+", -0.0646069393], + ["Ga1+", "Mn7+", -0.0646069393], + ["Mn7+", "As1-", 0.1496068719], + ["As1-", "Mn7+", 0.1496068719], + ["Mn7+", "As1+", 0.2559796365], + ["As1+", "Mn7+", 0.2559796365], + ["Mn7+", "Se1-", 0.0001888875], + ["Se1-", "Mn7+", 0.0001888875], + ["Mn7+", "Se1+", 0.3344885069], + ["Se1+", "Mn7+", 0.3344885069], + ["Mn7+", "Br1-", 0.1517377544], + ["Br1-", "Mn7+", 0.1517377544], + ["Mn7+", "Br1+", 0.356674038], + ["Br1+", "Mn7+", 0.356674038], + ["Mn7+", "Rb1+", 0.2645669149], + ["Rb1+", "Mn7+", 0.2645669149], + ["Mn7+", "Y1+", 0.1104893681], + ["Y1+", "Mn7+", 0.1104893681], + ["Mn7+", "Zr1+", -0.2103241661], + ["Zr1+", "Mn7+", -0.2103241661], + ["Mn7+", "Nb1+", 0.0820231305], + ["Nb1+", "Mn7+", 0.0820231305], + ["Mn7+", "Tc1-", 0.0322189779], + ["Tc1-", "Mn7+", 0.0322189779], + ["Mn7+", "Tc1+", -0.0563467025], + ["Tc1+", "Mn7+", -0.0563467025], + ["Mn7+", "Rh1+", 0.0018041414], + ["Rh1+", "Mn7+", 0.0018041414], + ["Mn7+", "Ag1+", 0.2199068711], + ["Ag1+", "Mn7+", 0.2199068711], + ["Mn7+", "In1+", -0.0391230671], + ["In1+", "Mn7+", -0.0391230671], + ["Mn7+", "Sb1-", -0.1022938376], + ["Sb1-", "Mn7+", -0.1022938376], + ["Mn7+", "Sb1+", 0.161701813], + ["Sb1+", "Mn7+", 0.161701813], + ["Mn7+", "Te1-", 0.0860825382], + ["Te1-", "Mn7+", 0.0860825382], + ["Mn7+", "Te1+", -0.0723540921], + ["Te1+", "Mn7+", -0.0723540921], + ["Mn7+", "I1-", 0.1430479943], + ["I1-", "Mn7+", 0.1430479943], + ["Mn7+", "I1+", 0.2861484493], + ["I1+", "Mn7+", 0.2861484493], + ["Mn7+", "Cs1+", 0.1769738813], + ["Cs1+", "Mn7+", 0.1769738813], + ["Mn7+", "La1+", -0.1035941321], + ["La1+", "Mn7+", -0.1035941321], + ["Mn7+", "Tb1+", -0.0971303957], + ["Tb1+", "Mn7+", -0.0971303957], + ["Mn7+", "Ta1+", -0.0059367561], + ["Ta1+", "Mn7+", -0.0059367561], + ["Mn7+", "Os1-", -0.1017987903], + ["Os1-", "Mn7+", -0.1017987903], + ["Mn7+", "Os1+", 0.0022077355], + ["Os1+", "Mn7+", 0.0022077355], + ["Mn7+", "Pt1-", -0.2801512514], + ["Pt1-", "Mn7+", -0.2801512514], + ["Mn7+", "Pt1+", 0.1166047833], + ["Pt1+", "Mn7+", 0.1166047833], + ["Mn7+", "Au1-", -0.2639995905], + ["Au1-", "Mn7+", -0.2639995905], + ["Mn7+", "Au1+", -0.072773257], + ["Au1+", "Mn7+", -0.072773257], + ["Mn7+", "Hg1+", 0.2463155127], + ["Hg1+", "Mn7+", 0.2463155127], + ["Mn7+", "Tl1+", 0.1455112376], + ["Tl1+", "Mn7+", 0.1455112376], + ["Mn7+", "Bi1+", 0.0645148425], + ["Bi1+", "Mn7+", 0.0645148425], + ["Mn6+", "Mn6+", 1.0], + ["Mn6+", "Mn5+", 0.530074093], + ["Mn5+", "Mn6+", 0.530074093], + ["Mn6+", "Fe2+", 0.2488888708], + ["Fe2+", "Mn6+", 0.2488888708], + ["Mn6+", "Fe3+", 0.435053856], + ["Fe3+", "Mn6+", 0.435053856], + ["Mn6+", "Fe4+", 0.4821663114], + ["Fe4+", "Mn6+", 0.4821663114], + ["Mn6+", "Fe6+", 0.3958109587], + ["Fe6+", "Mn6+", 0.3958109587], + ["Mn6+", "Fe5+", 0.3135391797], + ["Fe5+", "Mn6+", 0.3135391797], + ["Mn6+", "Co2+", 0.4215679299], + ["Co2+", "Mn6+", 0.4215679299], + ["Mn6+", "Co4+", 0.5625618998], + ["Co4+", "Mn6+", 0.5625618998], + ["Mn6+", "Co3+", 0.4128743382], + ["Co3+", "Mn6+", 0.4128743382], + ["Mn6+", "Ni2+", 0.4493847335], + ["Ni2+", "Mn6+", 0.4493847335], + ["Mn6+", "Ni4+", 0.5177129496], + ["Ni4+", "Mn6+", 0.5177129496], + ["Mn6+", "Ni3+", 0.3539762096], + ["Ni3+", "Mn6+", 0.3539762096], + ["Mn6+", "Cu2+", 0.3662399476], + ["Cu2+", "Mn6+", 0.3662399476], + ["Mn6+", "Cu3+", 0.3290949336], + ["Cu3+", "Mn6+", 0.3290949336], + ["Mn6+", "Zn2+", 0.3251651869], + ["Zn2+", "Mn6+", 0.3251651869], + ["Mn6+", "Ga3+", 0.2216680799], + ["Ga3+", "Mn6+", 0.2216680799], + ["Mn6+", "Ga4+", 0.3197038608], + ["Ga4+", "Mn6+", 0.3197038608], + ["Mn6+", "Ga2+", 0.1719297438], + ["Ga2+", "Mn6+", 0.1719297438], + ["Mn6+", "Ge4-", 0.0482477344], + ["Ge4-", "Mn6+", 0.0482477344], + ["Mn6+", "Ge4+", 0.3657825492], + ["Ge4+", "Mn6+", 0.3657825492], + ["Mn6+", "Ge2-", 0.1096637646], + ["Ge2-", "Mn6+", 0.1096637646], + ["Mn6+", "Ge2+", 0.1016444911], + ["Ge2+", 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0.2828777759], + ["Br5+", "Mn6+", 0.2828777759], + ["Mn6+", "Br3+", 0.2961359018], + ["Br3+", "Mn6+", 0.2961359018], + ["Mn6+", "Sr2+", 0.4647260567], + ["Sr2+", "Mn6+", 0.4647260567], + ["Mn6+", "Y3+", 0.5165161694], + ["Y3+", "Mn6+", 0.5165161694], + ["Mn6+", "Y2+", 0.446643532], + ["Y2+", "Mn6+", 0.446643532], + ["Mn6+", "Zr2+", -0.0151720707], + ["Zr2+", "Mn6+", -0.0151720707], + ["Mn6+", "Zr4+", 0.249606073], + ["Zr4+", "Mn6+", 0.249606073], + ["Mn6+", "Zr3+", 0.0896125818], + ["Zr3+", "Mn6+", 0.0896125818], + ["Mn6+", "Nb5+", 0.522128077], + ["Nb5+", "Mn6+", 0.522128077], + ["Mn6+", "Nb3+", 0.1708799813], + ["Nb3+", "Mn6+", 0.1708799813], + ["Mn6+", "Nb4+", 0.3317143827], + ["Nb4+", "Mn6+", 0.3317143827], + ["Mn6+", "Nb2+", 0.3197490356], + ["Nb2+", "Mn6+", 0.3197490356], + ["Mn6+", "Nb7+", 0.4677771484], + ["Nb7+", "Mn6+", 0.4677771484], + ["Mn6+", "Mo3+", 0.1780703142], + ["Mo3+", "Mn6+", 0.1780703142], + ["Mn6+", "Mo4+", 0.3865964012], + ["Mo4+", "Mn6+", 0.3865964012], + 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0.0793823884], + ["Br1-", "Mn6+", 0.0793823884], + ["Mn6+", "Br1+", 0.0092528435], + ["Br1+", "Mn6+", 0.0092528435], + ["Mn6+", "Rb1+", 0.2114345131], + ["Rb1+", "Mn6+", 0.2114345131], + ["Mn6+", "Y1+", 0.0999385861], + ["Y1+", "Mn6+", 0.0999385861], + ["Mn6+", "Zr1+", -0.1394889618], + ["Zr1+", "Mn6+", -0.1394889618], + ["Mn6+", "Nb1+", 0.1853308857], + ["Nb1+", "Mn6+", 0.1853308857], + ["Mn6+", "Tc1-", -0.0940409665], + ["Tc1-", "Mn6+", -0.0940409665], + ["Mn6+", "Tc1+", 0.0636112178], + ["Tc1+", "Mn6+", 0.0636112178], + ["Mn6+", "Rh1+", 0.2589460221], + ["Rh1+", "Mn6+", 0.2589460221], + ["Mn6+", "Ag1+", 0.2839764491], + ["Ag1+", "Mn6+", 0.2839764491], + ["Mn6+", "In1+", 0.0315178944], + ["In1+", "Mn6+", 0.0315178944], + ["Mn6+", "Sb1-", -0.0374361081], + ["Sb1-", "Mn6+", -0.0374361081], + ["Mn6+", "Sb1+", 0.0979850767], + ["Sb1+", "Mn6+", 0.0979850767], + ["Mn6+", "Te1-", 0.034978083], + ["Te1-", "Mn6+", 0.034978083], + ["Mn6+", "Te1+", 0.0439979947], + ["Te1+", "Mn6+", 0.0439979947], + ["Mn6+", "I1-", 0.1274992395], + ["I1-", "Mn6+", 0.1274992395], + ["Mn6+", "I1+", 0.0372823465], + ["I1+", "Mn6+", 0.0372823465], + ["Mn6+", "Cs1+", 0.1015548421], + ["Cs1+", "Mn6+", 0.1015548421], + ["Mn6+", "La1+", 0.0845121252], + ["La1+", "Mn6+", 0.0845121252], + ["Mn6+", "Tb1+", 0.1043954451], + ["Tb1+", "Mn6+", 0.1043954451], + ["Mn6+", "Ta1+", 0.0519803507], + ["Ta1+", "Mn6+", 0.0519803507], + ["Mn6+", "Os1-", -0.1350915661], + ["Os1-", "Mn6+", -0.1350915661], + ["Mn6+", "Os1+", 0.032390159], + ["Os1+", "Mn6+", 0.032390159], + ["Mn6+", "Pt1-", -0.0992734705], + ["Pt1-", "Mn6+", -0.0992734705], + ["Mn6+", "Pt1+", 0.3022406186], + ["Pt1+", "Mn6+", 0.3022406186], + ["Mn6+", "Au1-", -0.2473871978], + ["Au1-", "Mn6+", -0.2473871978], + ["Mn6+", "Au1+", -0.065445296], + ["Au1+", "Mn6+", -0.065445296], + ["Mn6+", "Hg1+", 0.3317867635], + ["Hg1+", "Mn6+", 0.3317867635], + ["Mn6+", "Tl1+", 0.1246594879], + ["Tl1+", "Mn6+", 0.1246594879], + ["Mn6+", "Bi1+", 0.1128367943], + ["Bi1+", "Mn6+", 0.1128367943], + ["Mn5+", "Mn5+", 1.0], + ["Mn5+", "Fe2+", 0.3309182322], + ["Fe2+", "Mn5+", 0.3309182322], + ["Mn5+", "Fe3+", 0.3171431908], + ["Fe3+", "Mn5+", 0.3171431908], + ["Mn5+", "Fe4+", 0.3448316182], + ["Fe4+", "Mn5+", 0.3448316182], + ["Mn5+", "Fe6+", 0.3360761614], + ["Fe6+", "Mn5+", 0.3360761614], + ["Mn5+", "Fe5+", 0.1720295332], + ["Fe5+", "Mn5+", 0.1720295332], + ["Mn5+", "Co2+", 0.2889022916], + ["Co2+", "Mn5+", 0.2889022916], + ["Mn5+", "Co4+", 0.4706801378], + ["Co4+", "Mn5+", 0.4706801378], + ["Mn5+", "Co3+", 0.5078008339], + ["Co3+", "Mn5+", 0.5078008339], + ["Mn5+", "Ni2+", 0.3339071781], + ["Ni2+", "Mn5+", 0.3339071781], + ["Mn5+", "Ni4+", 0.4757470884], + ["Ni4+", "Mn5+", 0.4757470884], + ["Mn5+", "Ni3+", 0.436057359], + ["Ni3+", "Mn5+", 0.436057359], + ["Mn5+", "Cu2+", 0.3371659109], + ["Cu2+", "Mn5+", 0.3371659109], + ["Mn5+", "Cu3+", 0.2854378918], + ["Cu3+", "Mn5+", 0.2854378918], + ["Mn5+", "Zn2+", 0.3990427213], + ["Zn2+", "Mn5+", 0.3990427213], + ["Mn5+", "Ga3+", 0.3566268707], + ["Ga3+", "Mn5+", 0.3566268707], + ["Mn5+", "Ga4+", 0.1943452161], + ["Ga4+", "Mn5+", 0.1943452161], + ["Mn5+", "Ga2+", 0.1412477369], + ["Ga2+", "Mn5+", 0.1412477369], + ["Mn5+", "Ge4-", -0.0465310454], + ["Ge4-", "Mn5+", -0.0465310454], + ["Mn5+", "Ge4+", 0.4740188363], + ["Ge4+", "Mn5+", 0.4740188363], + ["Mn5+", "Ge2-", -0.0224177814], + ["Ge2-", "Mn5+", -0.0224177814], + ["Mn5+", "Ge2+", 0.1430440928], + ["Ge2+", "Mn5+", 0.1430440928], + ["Mn5+", "Ge3+", 0.2285966118], + ["Ge3+", "Mn5+", 0.2285966118], + ["Mn5+", "As2-", 0.0419813966], + ["As2-", "Mn5+", 0.0419813966], + ["Mn5+", "As3+", -0.0604610308], + ["As3+", "Mn5+", -0.0604610308], + ["Mn5+", "As5+", 0.0675537344], + ["As5+", "Mn5+", 0.0675537344], + ["Mn5+", "As3-", -0.0724714223], + ["As3-", "Mn5+", -0.0724714223], + ["Mn5+", "As2+", -0.0643811267], + ["As2+", "Mn5+", -0.0643811267], + ["Mn5+", "As4+", 0.1494375461], + ["As4+", "Mn5+", 0.1494375461], + ["Mn5+", "Se2-", -0.1131019372], + ["Se2-", "Mn5+", -0.1131019372], + ["Mn5+", "Se4+", 0.4035223211], + ["Se4+", "Mn5+", 0.4035223211], + ["Mn5+", "Se6+", 0.3690373265], + ["Se6+", "Mn5+", 0.3690373265], + ["Mn5+", "Se5+", 0.3955083204], + ["Se5+", "Mn5+", 0.3955083204], + ["Mn5+", "Se2+", 0.0926348954], + ["Se2+", "Mn5+", 0.0926348954], + ["Mn5+", "Se3+", 0.2837415611], + ["Se3+", "Mn5+", 0.2837415611], + ["Mn5+", "Br2+", 0.1419836652], + ["Br2+", "Mn5+", 0.1419836652], + ["Mn5+", "Br5+", 0.2351786992], + ["Br5+", "Mn5+", 0.2351786992], + ["Mn5+", "Br3+", 0.2273211678], + ["Br3+", "Mn5+", 0.2273211678], + ["Mn5+", "Sr2+", 0.5052037409], + ["Sr2+", "Mn5+", 0.5052037409], + ["Mn5+", "Y3+", 0.3398313601], + ["Y3+", "Mn5+", 0.3398313601], + ["Mn5+", "Y2+", 0.3380446855], + ["Y2+", "Mn5+", 0.3380446855], + ["Mn5+", "Zr2+", -0.0900548292], + ["Zr2+", "Mn5+", -0.0900548292], + ["Mn5+", "Zr4+", 0.1669688194], + ["Zr4+", "Mn5+", 0.1669688194], + ["Mn5+", "Zr3+", 0.0357793188], + ["Zr3+", "Mn5+", 0.0357793188], + ["Mn5+", "Nb5+", 0.4464923882], + ["Nb5+", "Mn5+", 0.4464923882], + ["Mn5+", "Nb3+", 0.115311076], + ["Nb3+", "Mn5+", 0.115311076], + ["Mn5+", "Nb4+", 0.373639847], + ["Nb4+", "Mn5+", 0.373639847], + ["Mn5+", "Nb2+", 0.1628934299], + ["Nb2+", "Mn5+", 0.1628934299], + ["Mn5+", "Nb7+", 0.3496979085], + ["Nb7+", "Mn5+", 0.3496979085], + ["Mn5+", "Mo3+", 0.1598981091], + ["Mo3+", "Mn5+", 0.1598981091], + ["Mn5+", "Mo4+", 0.2828630179], + ["Mo4+", "Mn5+", 0.2828630179], + ["Mn5+", "Mo6+", 0.3847551488], + ["Mo6+", "Mn5+", 0.3847551488], + ["Mn5+", "Mo5+", 0.2524497761], + ["Mo5+", "Mn5+", 0.2524497761], + ["Mn5+", "Mo2+", 0.025854513], + ["Mo2+", "Mn5+", 0.025854513], + ["Mn5+", "Tc4+", 0.2545931534], + ["Tc4+", "Mn5+", 0.2545931534], + ["Mn5+", "Tc3-", 0.0158096254], + ["Tc3-", "Mn5+", 0.0158096254], + ["Mn5+", "Tc3+", 0.0394789962], + ["Tc3+", "Mn5+", 0.0394789962], + ["Mn5+", "Tc7+", 0.2129802302], + ["Tc7+", "Mn5+", 0.2129802302], + ["Mn5+", "Tc5+", 0.215058142], + ["Tc5+", "Mn5+", 0.215058142], + ["Mn5+", "Tc6+", -0.1062172056], + ["Tc6+", "Mn5+", -0.1062172056], + ["Mn5+", "Tc2-", -0.2165111584], + ["Tc2-", "Mn5+", -0.2165111584], + ["Mn5+", "Tc2+", -0.0284202443], + ["Tc2+", "Mn5+", -0.0284202443], + ["Mn5+", "Ru2+", 0.202074611], + ["Ru2+", "Mn5+", 0.202074611], + ["Mn5+", "Ru6+", 0.1098637917], + ["Ru6+", "Mn5+", 0.1098637917], + ["Mn5+", "Ru4+", 0.4588221186], + ["Ru4+", "Mn5+", 0.4588221186], + ["Mn5+", "Ru5+", 0.4128517378], + ["Ru5+", "Mn5+", 0.4128517378], + ["Mn5+", "Ru3+", 0.1500386147], + ["Ru3+", "Mn5+", 0.1500386147], + ["Mn5+", "Rh4+", 0.3532359822], + ["Rh4+", "Mn5+", 0.3532359822], + ["Mn5+", "Rh3+", 0.1242497836], + ["Rh3+", "Mn5+", 0.1242497836], + ["Mn5+", "Pd2+", 0.1279395826], + ["Pd2+", "Mn5+", 0.1279395826], + ["Mn5+", "Pd4+", 0.2389949563], + ["Pd4+", "Mn5+", 0.2389949563], + ["Mn5+", "Pd3+", 0.1184578468], + ["Pd3+", "Mn5+", 0.1184578468], + ["Mn5+", "Ag3+", 0.3051041456], + ["Ag3+", "Mn5+", 0.3051041456], + ["Mn5+", "Ag2+", 0.1926966936], + ["Ag2+", "Mn5+", 0.1926966936], + ["Mn5+", "Cd2+", 0.3791827484], + ["Cd2+", "Mn5+", 0.3791827484], + ["Mn5+", "In3+", 0.2257751884], + ["In3+", "Mn5+", 0.2257751884], + ["Mn5+", "In2+", 0.07730363], + ["In2+", "Mn5+", 0.07730363], + ["Mn5+", "Sn4+", 0.2374802244], + ["Sn4+", "Mn5+", 0.2374802244], + ["Mn5+", "Sn3+", 0.2474028417], + ["Sn3+", "Mn5+", 0.2474028417], + ["Mn5+", "Sn2+", 0.1274153268], + ["Sn2+", "Mn5+", 0.1274153268], + ["Mn5+", "Sb5+", 0.1808298019], + ["Sb5+", "Mn5+", 0.1808298019], + ["Mn5+", "Sb2-", -0.1397523129], + ["Sb2-", "Mn5+", -0.1397523129], + ["Mn5+", "Sb3-", -0.142427496], + ["Sb3-", "Mn5+", -0.142427496], + ["Mn5+", "Sb3+", 0.0275775375], + ["Sb3+", "Mn5+", 0.0275775375], + ["Mn5+", "Sb4+", 0.0839705963], + ["Sb4+", "Mn5+", 0.0839705963], + ["Mn5+", "Te2-", -0.0345149721], + ["Te2-", "Mn5+", -0.0345149721], + ["Mn5+", "Te4+", 0.2454116531], + ["Te4+", "Mn5+", 0.2454116531], + ["Mn5+", "Te6+", 0.2475797288], + ["Te6+", "Mn5+", 0.2475797288], + ["Mn5+", "Te2+", -0.1613184206], + ["Te2+", "Mn5+", -0.1613184206], + ["Mn5+", "Te5+", 0.3675078374], + ["Te5+", "Mn5+", 0.3675078374], + ["Mn5+", "I3+", 0.0792546635], + ["I3+", "Mn5+", 0.0792546635], + ["Mn5+", "I7+", 0.267549601], + ["I7+", "Mn5+", 0.267549601], + ["Mn5+", "I5+", 0.2673224039], + ["I5+", "Mn5+", 0.2673224039], + ["Mn5+", "I2+", 0.1391401443], + ["I2+", "Mn5+", 0.1391401443], + ["Mn5+", "Ba2+", 0.4041898489], + ["Ba2+", "Mn5+", 0.4041898489], + ["Mn5+", "La3+", 0.4116933507], + ["La3+", "Mn5+", 0.4116933507], + ["Mn5+", "La2+", 0.3092243886], + ["La2+", "Mn5+", 0.3092243886], + ["Mn5+", "Ce3+", 0.1721811447], + ["Ce3+", "Mn5+", 0.1721811447], + ["Mn5+", "Ce2+", 0.15096593], + ["Ce2+", "Mn5+", 0.15096593], + ["Mn5+", "Ce4+", 0.3313752205], + ["Ce4+", "Mn5+", 0.3313752205], + ["Mn5+", "Pr3+", 0.1569338872], + ["Pr3+", "Mn5+", 0.1569338872], + ["Mn5+", "Pr4+", 0.4975572429], + ["Pr4+", "Mn5+", 0.4975572429], + ["Mn5+", "Pr2+", 0.2006959065], + ["Pr2+", "Mn5+", 0.2006959065], + ["Mn5+", "Nd3+", 0.2525033251], + ["Nd3+", "Mn5+", 0.2525033251], + ["Mn5+", "Nd2+", 0.1204805657], + ["Nd2+", "Mn5+", 0.1204805657], + ["Mn5+", "Pm3+", 0.2224954153], + ["Pm3+", "Mn5+", 0.2224954153], + ["Mn5+", "Sm3+", 0.3017045429], + ["Sm3+", "Mn5+", 0.3017045429], + ["Mn5+", "Sm2+", -0.1457982737], + ["Sm2+", "Mn5+", -0.1457982737], + ["Mn5+", "Eu2+", 0.2737020941], + ["Eu2+", "Mn5+", 0.2737020941], + ["Mn5+", "Eu3+", 0.2443381792], + ["Eu3+", "Mn5+", 0.2443381792], + ["Mn5+", "Gd2+", -0.0211350493], + ["Gd2+", "Mn5+", -0.0211350493], + ["Mn5+", "Gd3+", 0.228341073], + ["Gd3+", "Mn5+", 0.228341073], + ["Mn5+", "Tb3+", 0.1293351886], + ["Tb3+", "Mn5+", 0.1293351886], + ["Mn5+", "Tb2+", -0.0412855531], + ["Tb2+", "Mn5+", -0.0412855531], + ["Mn5+", "Tb4+", 0.3018520453], + ["Tb4+", "Mn5+", 0.3018520453], + ["Mn5+", "Dy3+", 0.1260815269], + ["Dy3+", "Mn5+", 0.1260815269], + ["Mn5+", "Dy2+", 0.0104784298], + ["Dy2+", "Mn5+", 0.0104784298], + ["Mn5+", "Ho3+", 0.1905452072], + ["Ho3+", "Mn5+", 0.1905452072], + ["Mn5+", "Ho2+", 0.0250470139], + ["Ho2+", "Mn5+", 0.0250470139], + ["Mn5+", "Er3+", 0.135160232], + ["Er3+", "Mn5+", 0.135160232], + ["Mn5+", "Tm3+", 0.1978646272], + ["Tm3+", "Mn5+", 0.1978646272], + ["Mn5+", "Tm2+", -0.007171654], + ["Tm2+", "Mn5+", -0.007171654], + ["Mn5+", "Yb3+", 0.1584275609], + ["Yb3+", "Mn5+", 0.1584275609], + ["Mn5+", "Yb2+", -0.1276564684], + ["Yb2+", "Mn5+", -0.1276564684], + ["Mn5+", "Lu3+", 0.0636269996], + ["Lu3+", "Mn5+", 0.0636269996], + ["Mn5+", "Hf3+", 0.3710408926], + ["Hf3+", "Mn5+", 0.3710408926], + ["Mn5+", "Hf2+", 0.3324505817], + ["Hf2+", "Mn5+", 0.3324505817], + ["Mn5+", "Hf4+", 0.305889394], + ["Hf4+", "Mn5+", 0.305889394], + ["Mn5+", "Ta5+", 0.4268065067], + ["Ta5+", "Mn5+", 0.4268065067], + ["Mn5+", "Ta3+", -0.1628544007], + ["Ta3+", "Mn5+", -0.1628544007], + ["Mn5+", "Ta4+", 0.2143219541], + ["Ta4+", "Mn5+", 0.2143219541], + ["Mn5+", "Ta2+", -0.023599505], + ["Ta2+", "Mn5+", -0.023599505], + ["Mn5+", "W6+", 0.4767287705], + ["W6+", "Mn5+", 0.4767287705], + ["Mn5+", "W4+", 0.2726802654], + ["W4+", "Mn5+", 0.2726802654], + ["Mn5+", "W2+", 0.0643981174], + ["W2+", "Mn5+", 0.0643981174], + ["Mn5+", "W3+", 0.3410113794], + ["W3+", "Mn5+", 0.3410113794], + ["Mn5+", "W5+", 0.224348235], + ["W5+", "Mn5+", 0.224348235], + ["Mn5+", "Re5+", 0.3145218051], + ["Re5+", "Mn5+", 0.3145218051], + ["Mn5+", "Re3+", -0.0586032234], + ["Re3+", "Mn5+", -0.0586032234], + ["Mn5+", "Re6+", 0.0539785893], + ["Re6+", "Mn5+", 0.0539785893], + ["Mn5+", "Re2+", -0.0077936108], + ["Re2+", "Mn5+", -0.0077936108], + ["Mn5+", "Re4+", 0.18558547], + ["Re4+", "Mn5+", 0.18558547], + ["Mn5+", "Re7+", 0.1227210602], + ["Re7+", "Mn5+", 0.1227210602], + ["Mn5+", "Os7+", 0.1582749016], + ["Os7+", "Mn5+", 0.1582749016], + ["Mn5+", "Os6+", 0.0739710943], + ["Os6+", "Mn5+", 0.0739710943], + ["Mn5+", "Os5+", 0.3903810217], + ["Os5+", "Mn5+", 0.3903810217], + ["Mn5+", "Os2-", -0.0379098196], + ["Os2-", "Mn5+", -0.0379098196], + ["Mn5+", "Os3+", 0.0103355233], + ["Os3+", "Mn5+", 0.0103355233], + ["Mn5+", "Os4+", 0.213309815], + ["Os4+", "Mn5+", 0.213309815], + ["Mn5+", "Os8+", 0.1039559936], + ["Os8+", "Mn5+", 0.1039559936], + ["Mn5+", "Os2+", 0.2029407493], + ["Os2+", "Mn5+", 0.2029407493], + ["Mn5+", "Ir3+", 0.0454952345], + ["Ir3+", "Mn5+", 0.0454952345], + ["Mn5+", "Ir4+", 0.4718633403], + ["Ir4+", "Mn5+", 0.4718633403], + ["Mn5+", "Ir5+", 0.277625866], + ["Ir5+", "Mn5+", 0.277625866], + ["Mn5+", "Ir6+", 0.1261218661], + ["Ir6+", "Mn5+", 0.1261218661], + ["Mn5+", "Pt2+", 0.2059963371], + ["Pt2+", "Mn5+", 0.2059963371], + ["Mn5+", "Pt2-", -0.1017277133], + ["Pt2-", "Mn5+", -0.1017277133], + ["Mn5+", "Pt4+", 0.2358499993], + ["Pt4+", "Mn5+", 0.2358499993], + ["Mn5+", "Pt3+", 0.3748645127], + ["Pt3+", "Mn5+", 0.3748645127], + ["Mn5+", "Pt5+", 0.0903719695], + ["Pt5+", "Mn5+", 0.0903719695], + ["Mn5+", "Pt6+", 0.1792811616], + ["Pt6+", "Mn5+", 0.1792811616], + ["Mn5+", "Au2+", -0.1130266583], + ["Au2+", "Mn5+", -0.1130266583], + ["Mn5+", "Au3+", 0.0039449201], + ["Au3+", "Mn5+", 0.0039449201], + ["Mn5+", "Au5+", -0.0382494839], + ["Au5+", "Mn5+", -0.0382494839], + ["Mn5+", "Au4+", -0.2460872815], + ["Au4+", "Mn5+", -0.2460872815], + ["Mn5+", "Hg2+", 0.1052539448], + ["Hg2+", "Mn5+", 0.1052539448], + ["Mn5+", "Tl3+", 0.0804721733], + ["Tl3+", "Mn5+", 0.0804721733], + ["Mn5+", "Tl2+", 0.1423946801], + ["Tl2+", "Mn5+", 0.1423946801], + ["Mn5+", "Pb2+", 0.2148231174], + ["Pb2+", "Mn5+", 0.2148231174], + ["Mn5+", "Pb3+", 0.1971558908], + ["Pb3+", "Mn5+", 0.1971558908], + ["Mn5+", "Pb4+", 0.1686952617], + ["Pb4+", "Mn5+", 0.1686952617], + ["Mn5+", "Bi3+", 0.3357423365], + ["Bi3+", "Mn5+", 0.3357423365], + ["Mn5+", "Bi5+", 0.3664985748], + ["Bi5+", "Mn5+", 0.3664985748], + ["Mn5+", "Bi2+", 0.0553892323], + ["Bi2+", "Mn5+", 0.0553892323], + ["Mn5+", "Bi3-", -0.0617158289], + ["Bi3-", "Mn5+", -0.0617158289], + ["Mn5+", "Bi4+", 0.2252166186], + ["Bi4+", "Mn5+", 0.2252166186], + 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"Mn5+", 0.3971759548], + ["Mn5+", "Np5+", 0.2635646727], + ["Np5+", "Mn5+", 0.2635646727], + ["Mn5+", "Pu7+", 0.5195920961], + ["Pu7+", "Mn5+", 0.5195920961], + ["Mn5+", "Pu6+", 0.1296726396], + ["Pu6+", "Mn5+", 0.1296726396], + ["Mn5+", "Pu3+", 0.0053504977], + ["Pu3+", "Mn5+", 0.0053504977], + ["Mn5+", "Pu4+", 0.0130566833], + ["Pu4+", "Mn5+", 0.0130566833], + ["Mn5+", "Pu5+", 0.1316168928], + ["Pu5+", "Mn5+", 0.1316168928], + ["Mn5+", "H1+", 0.3425224291], + ["H1+", "Mn5+", 0.3425224291], + ["Mn5+", "H1-", 0.1825683581], + ["H1-", "Mn5+", 0.1825683581], + ["Mn5+", "Li1+", 0.3667306575], + ["Li1+", "Mn5+", 0.3667306575], + ["Mn5+", "B1+", -0.1054835557], + ["B1+", "Mn5+", -0.1054835557], + ["Mn5+", "B1-", -0.0694917408], + ["B1-", "Mn5+", -0.0694917408], + ["Mn5+", "C1-", 0.1729069213], + ["C1-", "Mn5+", 0.1729069213], + ["Mn5+", "C1+", 0.2070505345], + ["C1+", "Mn5+", 0.2070505345], + ["Mn5+", "N1-", 0.1014041174], + ["N1-", "Mn5+", 0.1014041174], + ["Mn5+", "N1+", 0.0519206423], + 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0.1446945778], + ["Ni1+", "Mn5+", 0.1446945778], + ["Mn5+", "Cu1+", 0.1329331792], + ["Cu1+", "Mn5+", 0.1329331792], + ["Mn5+", "Ga1+", -0.0101505799], + ["Ga1+", "Mn5+", -0.0101505799], + ["Mn5+", "As1-", -0.0765328622], + ["As1-", "Mn5+", -0.0765328622], + ["Mn5+", "As1+", 0.2070154972], + ["As1+", "Mn5+", 0.2070154972], + ["Mn5+", "Se1-", -0.2362615462], + ["Se1-", "Mn5+", -0.2362615462], + ["Mn5+", "Se1+", 0.2880049683], + ["Se1+", "Mn5+", 0.2880049683], + ["Mn5+", "Br1-", -0.0216946283], + ["Br1-", "Mn5+", -0.0216946283], + ["Mn5+", "Br1+", 0.1511944372], + ["Br1+", "Mn5+", 0.1511944372], + ["Mn5+", "Rb1+", 0.1465958216], + ["Rb1+", "Mn5+", 0.1465958216], + ["Mn5+", "Y1+", -0.0253134592], + ["Y1+", "Mn5+", -0.0253134592], + ["Mn5+", "Zr1+", -0.1228803778], + ["Zr1+", "Mn5+", -0.1228803778], + ["Mn5+", "Nb1+", 0.1207427371], + ["Nb1+", "Mn5+", 0.1207427371], + ["Mn5+", "Tc1-", -0.0762543905], + ["Tc1-", "Mn5+", -0.0762543905], + ["Mn5+", "Tc1+", 0.214574441], + ["Tc1+", "Mn5+", 0.214574441], + ["Mn5+", "Rh1+", 0.0650945785], + ["Rh1+", "Mn5+", 0.0650945785], + ["Mn5+", "Ag1+", 0.282852695], + ["Ag1+", "Mn5+", 0.282852695], + ["Mn5+", "In1+", -0.0328885766], + ["In1+", "Mn5+", -0.0328885766], + ["Mn5+", "Sb1-", -0.1335047644], + ["Sb1-", "Mn5+", -0.1335047644], + ["Mn5+", "Sb1+", -0.0685280357], + ["Sb1+", "Mn5+", -0.0685280357], + ["Mn5+", "Te1-", -0.1373415197], + ["Te1-", "Mn5+", -0.1373415197], + ["Mn5+", "Te1+", 0.1278087905], + ["Te1+", "Mn5+", 0.1278087905], + ["Mn5+", "I1-", 0.1142558095], + ["I1-", "Mn5+", 0.1142558095], + ["Mn5+", "I1+", 0.1254108984], + ["I1+", "Mn5+", 0.1254108984], + ["Mn5+", "Cs1+", 0.0825509329], + ["Cs1+", "Mn5+", 0.0825509329], + ["Mn5+", "La1+", -0.1157373877], + ["La1+", "Mn5+", -0.1157373877], + ["Mn5+", "Tb1+", -0.1126966206], + ["Tb1+", "Mn5+", -0.1126966206], + ["Mn5+", "Ta1+", 0.0309617418], + ["Ta1+", "Mn5+", 0.0309617418], + ["Mn5+", "Os1-", -0.1310922058], + ["Os1-", "Mn5+", -0.1310922058], + ["Mn5+", "Os1+", 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0.3584416258], + ["Cu2+", "As2-", 0.1248625883], + ["As2-", "Cu2+", 0.1248625883], + ["Cu2+", "As3+", 0.3734688155], + ["As3+", "Cu2+", 0.3734688155], + ["Cu2+", "As5+", 0.5045129472], + ["As5+", "Cu2+", 0.5045129472], + ["Cu2+", "As3-", 0.0319652814], + ["As3-", "Cu2+", 0.0319652814], + ["Cu2+", "As2+", 0.5431215442], + ["As2+", "Cu2+", 0.5431215442], + ["Cu2+", "As4+", 0.2814715045], + ["As4+", "Cu2+", 0.2814715045], + ["Cu2+", "Se2-", 0.1235338288], + ["Se2-", "Cu2+", 0.1235338288], + ["Cu2+", "Se4+", 0.4592446674], + ["Se4+", "Cu2+", 0.4592446674], + ["Cu2+", "Se6+", 0.2470576194], + ["Se6+", "Cu2+", 0.2470576194], + ["Cu2+", "Se5+", 0.300891311], + ["Se5+", "Cu2+", 0.300891311], + ["Cu2+", "Se2+", 0.1977116575], + ["Se2+", "Cu2+", 0.1977116575], + ["Cu2+", "Se3+", 0.1985270217], + ["Se3+", "Cu2+", 0.1985270217], + ["Cu2+", "Br2+", 0.2901868344], + ["Br2+", "Cu2+", 0.2901868344], + ["Cu2+", "Br5+", 0.4790903793], + ["Br5+", "Cu2+", 0.4790903793], + ["Cu2+", "Br3+", 0.31872857], + 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0.3865243506], + ["Mo5+", "Cu2+", 0.3865243506], + ["Cu2+", "Mo2+", 0.3029332438], + ["Mo2+", "Cu2+", 0.3029332438], + ["Cu2+", "Tc4+", 0.2620978317], + ["Tc4+", "Cu2+", 0.2620978317], + ["Cu2+", "Tc3-", -0.2039989497], + ["Tc3-", "Cu2+", -0.2039989497], + ["Cu2+", "Tc3+", 0.2152787433], + ["Tc3+", "Cu2+", 0.2152787433], + ["Cu2+", "Tc7+", 0.1440227188], + ["Tc7+", "Cu2+", 0.1440227188], + ["Cu2+", "Tc5+", 0.3637769866], + ["Tc5+", "Cu2+", 0.3637769866], + ["Cu2+", "Tc6+", 0.0393885319], + ["Tc6+", "Cu2+", 0.0393885319], + ["Cu2+", "Tc2-", -0.011497567], + ["Tc2-", "Cu2+", -0.011497567], + ["Cu2+", "Tc2+", 0.1301119885], + ["Tc2+", "Cu2+", 0.1301119885], + ["Cu2+", "Ru2+", 0.068314516], + ["Ru2+", "Cu2+", 0.068314516], + ["Cu2+", "Ru6+", 0.32340284], + ["Ru6+", "Cu2+", 0.32340284], + ["Cu2+", "Ru4+", 0.3971516297], + ["Ru4+", "Cu2+", 0.3971516297], + ["Cu2+", "Ru5+", 0.3801580618], + ["Ru5+", "Cu2+", 0.3801580618], + ["Cu2+", "Ru3+", 0.2210375959], + ["Ru3+", "Cu2+", 0.2210375959], + 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0.1901985958], + ["Cu2+", "Hf2+", 0.2115737198], + ["Hf2+", "Cu2+", 0.2115737198], + ["Cu2+", "Hf4+", 0.3537041929], + ["Hf4+", "Cu2+", 0.3537041929], + ["Cu2+", "Ta5+", 0.5475784816], + ["Ta5+", "Cu2+", 0.5475784816], + ["Cu2+", "Ta3+", 0.0840376765], + ["Ta3+", "Cu2+", 0.0840376765], + ["Cu2+", "Ta4+", 0.3211400057], + ["Ta4+", "Cu2+", 0.3211400057], + ["Cu2+", "Ta2+", 0.1002469812], + ["Ta2+", "Cu2+", 0.1002469812], + ["Cu2+", "W6+", 0.498257825], + ["W6+", "Cu2+", 0.498257825], + ["Cu2+", "W4+", 0.4148145943], + ["W4+", "Cu2+", 0.4148145943], + ["Cu2+", "W2+", 0.2894709227], + ["W2+", "Cu2+", 0.2894709227], + ["Cu2+", "W3+", 0.2759107285], + ["W3+", "Cu2+", 0.2759107285], + ["Cu2+", "W5+", 0.3301673866], + ["W5+", "Cu2+", 0.3301673866], + ["Cu2+", "Re5+", 0.3465183052], + ["Re5+", "Cu2+", 0.3465183052], + ["Cu2+", "Re3+", 0.0625320258], + ["Re3+", "Cu2+", 0.0625320258], + ["Cu2+", "Re6+", 0.1740112101], + ["Re6+", "Cu2+", 0.1740112101], + ["Cu2+", "Re2+", 0.1182909951], + ["Re2+", "Cu2+", 0.1182909951], + ["Cu2+", "Re4+", 0.2982497168], + ["Re4+", "Cu2+", 0.2982497168], + ["Cu2+", "Re7+", 0.3888621082], + ["Re7+", "Cu2+", 0.3888621082], + ["Cu2+", "Os7+", 0.187790272], + ["Os7+", "Cu2+", 0.187790272], + ["Cu2+", "Os6+", 0.1866616143], + ["Os6+", "Cu2+", 0.1866616143], + ["Cu2+", "Os5+", 0.363350607], + ["Os5+", "Cu2+", 0.363350607], + ["Cu2+", "Os2-", -0.0877430965], + ["Os2-", "Cu2+", -0.0877430965], + ["Cu2+", "Os3+", 0.114569519], + ["Os3+", "Cu2+", 0.114569519], + ["Cu2+", "Os4+", 0.2301942758], + ["Os4+", "Cu2+", 0.2301942758], + ["Cu2+", "Os8+", 0.1669543949], + ["Os8+", "Cu2+", 0.1669543949], + ["Cu2+", "Os2+", 0.2821123916], + ["Os2+", "Cu2+", 0.2821123916], + ["Cu2+", "Ir3+", 0.051571709], + ["Ir3+", "Cu2+", 0.051571709], + ["Cu2+", "Ir4+", 0.3565803733], + ["Ir4+", "Cu2+", 0.3565803733], + ["Cu2+", "Ir5+", 0.3245970957], + ["Ir5+", "Cu2+", 0.3245970957], + ["Cu2+", "Ir6+", 0.3552036368], + ["Ir6+", "Cu2+", 0.3552036368], + ["Cu2+", "Pt2+", 0.3148878363], + ["Pt2+", "Cu2+", 0.3148878363], + ["Cu2+", "Pt2-", -0.0975190424], + ["Pt2-", "Cu2+", -0.0975190424], + ["Cu2+", "Pt4+", 0.3421397755], + ["Pt4+", "Cu2+", 0.3421397755], + ["Cu2+", "Pt3+", 0.2811372307], + ["Pt3+", "Cu2+", 0.2811372307], + ["Cu2+", "Pt5+", 0.3707521082], + ["Pt5+", "Cu2+", 0.3707521082], + ["Cu2+", "Pt6+", 0.2523246872], + ["Pt6+", "Cu2+", 0.2523246872], + ["Cu2+", "Au2+", 0.0955326847], + ["Au2+", "Cu2+", 0.0955326847], + ["Cu2+", "Au3+", 0.3566336708], + ["Au3+", "Cu2+", 0.3566336708], + ["Cu2+", "Au5+", 0.3153381008], + ["Au5+", "Cu2+", 0.3153381008], + ["Cu2+", "Au4+", 0.2041335302], + ["Au4+", "Cu2+", 0.2041335302], + ["Cu2+", "Hg2+", 0.4985414814], + ["Hg2+", "Cu2+", 0.4985414814], + ["Cu2+", "Tl3+", 0.4021415101], + ["Tl3+", "Cu2+", 0.4021415101], + ["Cu2+", "Tl2+", 0.4113717536], + ["Tl2+", "Cu2+", 0.4113717536], + ["Cu2+", "Pb2+", 0.4497048559], + ["Pb2+", "Cu2+", 0.4497048559], + ["Cu2+", "Pb3+", 0.3465072983], + ["Pb3+", "Cu2+", 0.3465072983], + ["Cu2+", "Pb4+", 0.1886388114], + ["Pb4+", "Cu2+", 0.1886388114], + ["Cu2+", "Bi3+", 0.6027471466], + ["Bi3+", "Cu2+", 0.6027471466], + ["Cu2+", "Bi5+", 0.2982737787], + ["Bi5+", "Cu2+", 0.2982737787], + ["Cu2+", "Bi2+", 0.3236844144], + ["Bi2+", "Cu2+", 0.3236844144], + ["Cu2+", "Bi3-", 0.0733111487], + ["Bi3-", "Cu2+", 0.0733111487], + ["Cu2+", "Bi4+", 0.2903671003], + ["Bi4+", "Cu2+", 0.2903671003], + ["Cu2+", "Ac3+", 0.2724987369], + ["Ac3+", "Cu2+", 0.2724987369], + ["Cu2+", "Th4+", 0.3157810719], + ["Th4+", "Cu2+", 0.3157810719], + ["Cu2+", "Th3+", 0.0890473028], + ["Th3+", "Cu2+", 0.0890473028], + ["Cu2+", "Pa4+", 0.1190964424], + ["Pa4+", "Cu2+", 0.1190964424], + ["Cu2+", "Pa5+", 0.3192423581], + ["Pa5+", "Cu2+", 0.3192423581], + ["Cu2+", "Pa3+", 0.0407906802], + ["Pa3+", "Cu2+", 0.0407906802], + ["Cu2+", "U6+", 0.4031107827], + ["U6+", "Cu2+", 0.4031107827], + ["Cu2+", "U4+", 0.2333847693], + ["U4+", "Cu2+", 0.2333847693], + ["Cu2+", "U3+", 0.0799495071], + ["U3+", "Cu2+", 0.0799495071], + ["Cu2+", "U2+", 0.1732235795], + ["U2+", "Cu2+", 0.1732235795], + ["Cu2+", "U5+", 0.2653694447], + ["U5+", "Cu2+", 0.2653694447], + ["Cu2+", "Np6+", 0.2960832723], + ["Np6+", "Cu2+", 0.2960832723], + ["Cu2+", "Np4+", 0.1839324361], + ["Np4+", "Cu2+", 0.1839324361], + ["Cu2+", "Np3+", 0.201143209], + ["Np3+", "Cu2+", 0.201143209], + ["Cu2+", "Np7+", 0.342912868], + ["Np7+", "Cu2+", 0.342912868], + ["Cu2+", "Np5+", 0.5497031136], + ["Np5+", "Cu2+", 0.5497031136], + ["Cu2+", "Pu7+", 0.4181583455], + ["Pu7+", "Cu2+", 0.4181583455], + ["Cu2+", "Pu6+", 0.0658832659], + ["Pu6+", "Cu2+", 0.0658832659], + ["Cu2+", "Pu3+", 0.2282229041], + ["Pu3+", "Cu2+", 0.2282229041], + ["Cu2+", "Pu4+", 0.2590000022], + ["Pu4+", "Cu2+", 0.2590000022], + ["Cu2+", "Pu5+", 0.3136584957], + ["Pu5+", "Cu2+", 0.3136584957], + ["Cu2+", "H1+", 0.195442128], + ["H1+", "Cu2+", 0.195442128], + ["Cu2+", "H1-", 0.0162714189], + ["H1-", "Cu2+", 0.0162714189], + ["Cu2+", "Li1+", 0.4186531309], + ["Li1+", "Cu2+", 0.4186531309], + ["Cu2+", "B1+", 0.0048786624], + ["B1+", "Cu2+", 0.0048786624], + ["Cu2+", "B1-", -0.0317884096], + ["B1-", "Cu2+", -0.0317884096], + ["Cu2+", "C1-", 0.1224103138], + ["C1-", "Cu2+", 0.1224103138], + ["Cu2+", "C1+", 0.2383652439], + ["C1+", "Cu2+", 0.2383652439], + ["Cu2+", "N1-", 0.217834917], + ["N1-", "Cu2+", 0.217834917], + ["Cu2+", "N1+", 0.3442244185], + ["N1+", "Cu2+", 0.3442244185], + ["Cu2+", "O1-", 0.4203722841], + ["O1-", "Cu2+", 0.4203722841], + ["Cu2+", "F1-", 0.2967442631], + ["F1-", "Cu2+", 0.2967442631], + ["Cu2+", "Na1+", 0.60188049], + ["Na1+", "Cu2+", 0.60188049], + ["Cu2+", "Si1-", 0.0830603491], + ["Si1-", "Cu2+", 0.0830603491], + ["Cu2+", "P1+", 0.2136769965], + ["P1+", "Cu2+", 0.2136769965], + ["Cu2+", "P1-", 0.032525233], + ["P1-", "Cu2+", 0.032525233], + ["Cu2+", "S1-", 0.2998106187], + ["S1-", "Cu2+", 0.2998106187], + ["Cu2+", "S1+", 0.1507417389], + ["S1+", "Cu2+", 0.1507417389], + ["Cu2+", "Cl1-", 0.2364775827], + ["Cl1-", "Cu2+", 0.2364775827], + ["Cu2+", "K1+", 0.6528344155], + ["K1+", "Cu2+", 0.6528344155], + ["Cu2+", "Sc1+", -0.0077377821], + ["Sc1+", "Cu2+", -0.0077377821], + ["Cu2+", "Mn1+", 0.2759283742], + ["Mn1+", "Cu2+", 0.2759283742], + ["Cu2+", "Fe1+", 0.0573845624], + ["Fe1+", "Cu2+", 0.0573845624], + ["Cu2+", "Co1+", 0.193303842], + ["Co1+", "Cu2+", 0.193303842], + ["Cu2+", "Ni1+", 0.1411618322], + ["Ni1+", "Cu2+", 0.1411618322], + ["Cu2+", "Cu1+", 0.4852065782], + ["Cu1+", "Cu2+", 0.4852065782], + ["Cu2+", "Ga1+", 0.1667261819], + ["Ga1+", "Cu2+", 0.1667261819], + ["Cu2+", "As1-", 0.0617802267], + ["As1-", "Cu2+", 0.0617802267], + ["Cu2+", "As1+", 0.1894080104], + ["As1+", "Cu2+", 0.1894080104], + ["Cu2+", "Se1-", 0.2376278818], + ["Se1-", "Cu2+", 0.2376278818], + ["Cu2+", "Se1+", 0.2961558839], + ["Se1+", "Cu2+", 0.2961558839], + ["Cu2+", "Br1-", 0.2117449397], + ["Br1-", "Cu2+", 0.2117449397], + ["Cu2+", "Br1+", 0.3545606503], + ["Br1+", "Cu2+", 0.3545606503], + ["Cu2+", "Rb1+", 0.5936036052], + ["Rb1+", "Cu2+", 0.5936036052], + ["Cu2+", "Y1+", 0.1302019617], + ["Y1+", "Cu2+", 0.1302019617], + ["Cu2+", "Zr1+", 0.0815608817], + ["Zr1+", "Cu2+", 0.0815608817], + ["Cu2+", "Nb1+", 0.1567446574], + ["Nb1+", "Cu2+", 0.1567446574], + ["Cu2+", "Tc1-", -0.0012761404], + ["Tc1-", "Cu2+", -0.0012761404], + ["Cu2+", "Tc1+", 0.2838674991], + ["Tc1+", "Cu2+", 0.2838674991], + ["Cu2+", "Rh1+", 0.1289178741], + ["Rh1+", "Cu2+", 0.1289178741], + ["Cu2+", "Ag1+", 0.6396585594], + ["Ag1+", "Cu2+", 0.6396585594], + ["Cu2+", "In1+", 0.0741615763], + ["In1+", "Cu2+", 0.0741615763], + ["Cu2+", "Sb1-", -0.0602512193], + ["Sb1-", "Cu2+", -0.0602512193], + ["Cu2+", "Sb1+", 0.0882222183], + ["Sb1+", "Cu2+", 0.0882222183], + ["Cu2+", "Te1-", 0.1953793552], + ["Te1-", "Cu2+", 0.1953793552], + ["Cu2+", "Te1+", 0.2743449329], + ["Te1+", "Cu2+", 0.2743449329], + ["Cu2+", "I1-", 0.0916717757], + ["I1-", "Cu2+", 0.0916717757], + ["Cu2+", "I1+", 0.2753311889], + ["I1+", "Cu2+", 0.2753311889], + ["Cu2+", "Cs1+", 0.4892330895], + ["Cs1+", "Cu2+", 0.4892330895], + ["Cu2+", "La1+", -0.0447750376], + ["La1+", "Cu2+", -0.0447750376], + ["Cu2+", "Tb1+", 0.0409770367], + ["Tb1+", "Cu2+", 0.0409770367], + ["Cu2+", "Ta1+", 0.1215267462], + ["Ta1+", "Cu2+", 0.1215267462], + ["Cu2+", "Os1-", -0.0042719634], + ["Os1-", "Cu2+", -0.0042719634], + ["Cu2+", "Os1+", 0.0371955319], + ["Os1+", "Cu2+", 0.0371955319], + ["Cu2+", "Pt1-", 0.0387836519], + ["Pt1-", "Cu2+", 0.0387836519], + ["Cu2+", "Pt1+", 0.1623429577], + ["Pt1+", "Cu2+", 0.1623429577], + ["Cu2+", "Au1-", -0.0434749818], + ["Au1-", "Cu2+", -0.0434749818], + ["Cu2+", "Au1+", 0.2483797815], + ["Au1+", "Cu2+", 0.2483797815], + ["Cu2+", "Hg1+", 0.4653977925], + ["Hg1+", "Cu2+", 0.4653977925], + ["Cu2+", "Tl1+", 0.5335783099], + ["Tl1+", "Cu2+", 0.5335783099], + ["Cu2+", "Bi1+", 0.0134748082], + ["Bi1+", "Cu2+", 0.0134748082], + ["Cu3+", "Cu3+", 1.0], + ["Cu3+", "Zn2+", 0.1764032368], + ["Zn2+", "Cu3+", 0.1764032368], + ["Cu3+", "Ga3+", 0.2014084465], + ["Ga3+", "Cu3+", 0.2014084465], + ["Cu3+", "Ga4+", 0.3261441977], + ["Ga4+", "Cu3+", 0.3261441977], + ["Cu3+", "Ga2+", -0.1329720673], + ["Ga2+", "Cu3+", -0.1329720673], + ["Cu3+", "Ge4-", -0.1062707258], + ["Ge4-", "Cu3+", -0.1062707258], + ["Cu3+", "Ge4+", 0.2524004341], + ["Ge4+", "Cu3+", 0.2524004341], + ["Cu3+", "Ge2-", -0.0644082778], + ["Ge2-", "Cu3+", -0.0644082778], + ["Cu3+", "Ge2+", 0.1393875396], + ["Ge2+", "Cu3+", 0.1393875396], + ["Cu3+", "Ge3+", 0.0467964854], + ["Ge3+", "Cu3+", 0.0467964854], + ["Cu3+", "As2-", 0.035982952], + ["As2-", "Cu3+", 0.035982952], + ["Cu3+", "As3+", 0.2977810931], + ["As3+", "Cu3+", 0.2977810931], + ["Cu3+", "As5+", 0.5319072298], + ["As5+", "Cu3+", 0.5319072298], + ["Cu3+", "As3-", -0.1194118962], + ["As3-", "Cu3+", -0.1194118962], + ["Cu3+", "As2+", 0.2646039162], + ["As2+", "Cu3+", 0.2646039162], + ["Cu3+", "As4+", 0.4000980564], + ["As4+", "Cu3+", 0.4000980564], + ["Cu3+", "Se2-", 0.020126289], + ["Se2-", "Cu3+", 0.020126289], + ["Cu3+", "Se4+", 0.5429082767], + ["Se4+", "Cu3+", 0.5429082767], + ["Cu3+", "Se6+", 0.4552243467], + ["Se6+", "Cu3+", 0.4552243467], + ["Cu3+", "Se5+", 0.3968427904], + ["Se5+", "Cu3+", 0.3968427904], + ["Cu3+", "Se2+", 0.0878969627], + ["Se2+", "Cu3+", 0.0878969627], + ["Cu3+", "Se3+", 0.1844920987], + ["Se3+", "Cu3+", 0.1844920987], + ["Cu3+", "Br2+", 0.0732801907], + ["Br2+", "Cu3+", 0.0732801907], + ["Cu3+", "Br5+", 0.5893284143], + ["Br5+", "Cu3+", 0.5893284143], + ["Cu3+", "Br3+", 0.5352941864], + ["Br3+", "Cu3+", 0.5352941864], + ["Cu3+", "Sr2+", 0.4990731456], + ["Sr2+", "Cu3+", 0.4990731456], + ["Cu3+", "Y3+", 0.3867484635], + ["Y3+", "Cu3+", 0.3867484635], + ["Cu3+", "Y2+", 0.4071441529], + ["Y2+", "Cu3+", 0.4071441529], + ["Cu3+", "Zr2+", -0.1958905267], + ["Zr2+", "Cu3+", -0.1958905267], + ["Cu3+", "Zr4+", 0.3847696789], + ["Zr4+", "Cu3+", 0.3847696789], + ["Cu3+", "Zr3+", 0.0339927256], + ["Zr3+", "Cu3+", 0.0339927256], + ["Cu3+", "Nb5+", 0.4401362569], + ["Nb5+", "Cu3+", 0.4401362569], + ["Cu3+", "Nb3+", 0.1000060077], + ["Nb3+", "Cu3+", 0.1000060077], + ["Cu3+", "Nb4+", 0.2184535419], + ["Nb4+", "Cu3+", 0.2184535419], + ["Cu3+", "Nb2+", -0.0072717199], + ["Nb2+", "Cu3+", -0.0072717199], + ["Cu3+", "Nb7+", 0.3835444381], + ["Nb7+", "Cu3+", 0.3835444381], + ["Cu3+", "Mo3+", 0.1104679851], + ["Mo3+", "Cu3+", 0.1104679851], + ["Cu3+", "Mo4+", 0.2816595524], + ["Mo4+", "Cu3+", 0.2816595524], + ["Cu3+", "Mo6+", 0.3348234179], + ["Mo6+", "Cu3+", 0.3348234179], + ["Cu3+", "Mo5+", 0.4203924022], + ["Mo5+", "Cu3+", 0.4203924022], + ["Cu3+", "Mo2+", -0.0105572775], + ["Mo2+", "Cu3+", -0.0105572775], + ["Cu3+", "Tc4+", 0.2958572299], + ["Tc4+", "Cu3+", 0.2958572299], + ["Cu3+", "Tc3-", -0.4040887473], + ["Tc3-", "Cu3+", -0.4040887473], + ["Cu3+", "Tc3+", 0.0289573791], + ["Tc3+", "Cu3+", 0.0289573791], + ["Cu3+", "Tc7+", 0.3438922024], + ["Tc7+", "Cu3+", 0.3438922024], + ["Cu3+", "Tc5+", 0.2862736638], + ["Tc5+", "Cu3+", 0.2862736638], + ["Cu3+", "Tc6+", 0.0841888902], + ["Tc6+", "Cu3+", 0.0841888902], + ["Cu3+", "Tc2-", -0.1522858963], + ["Tc2-", "Cu3+", -0.1522858963], + ["Cu3+", "Tc2+", 0.077810841], + ["Tc2+", "Cu3+", 0.077810841], + ["Cu3+", "Ru2+", -0.074357133], + ["Ru2+", "Cu3+", -0.074357133], + ["Cu3+", "Ru6+", 0.3211920749], + ["Ru6+", "Cu3+", 0.3211920749], + ["Cu3+", "Ru4+", 0.2118350829], + ["Ru4+", "Cu3+", 0.2118350829], + ["Cu3+", "Ru5+", 0.2539144816], + ["Ru5+", "Cu3+", 0.2539144816], + ["Cu3+", "Ru3+", 0.0737836265], + ["Ru3+", "Cu3+", 0.0737836265], + ["Cu3+", "Rh4+", 0.1341926853], + ["Rh4+", "Cu3+", 0.1341926853], + ["Cu3+", "Rh3+", 0.0399338072], + ["Rh3+", "Cu3+", 0.0399338072], + ["Cu3+", "Pd2+", 0.1417007173], + ["Pd2+", "Cu3+", 0.1417007173], + ["Cu3+", "Pd4+", 0.1289431625], + ["Pd4+", "Cu3+", 0.1289431625], + ["Cu3+", "Pd3+", 0.131485046], + ["Pd3+", "Cu3+", 0.131485046], + ["Cu3+", "Ag3+", 0.6711280581], + ["Ag3+", "Cu3+", 0.6711280581], + ["Cu3+", "Ag2+", 0.4930080697], + ["Ag2+", "Cu3+", 0.4930080697], + ["Cu3+", "Cd2+", 0.3071984171], + ["Cd2+", "Cu3+", 0.3071984171], + ["Cu3+", "In3+", 0.2600415315], + ["In3+", "Cu3+", 0.2600415315], + ["Cu3+", "In2+", -0.0236872619], + ["In2+", "Cu3+", -0.0236872619], + ["Cu3+", "Sn4+", 0.1784554756], + ["Sn4+", "Cu3+", 0.1784554756], + ["Cu3+", "Sn3+", 0.350894229], + ["Sn3+", "Cu3+", 0.350894229], + ["Cu3+", "Sn2+", 0.273673042], + ["Sn2+", "Cu3+", 0.273673042], + ["Cu3+", "Sb5+", 0.4770199433], + ["Sb5+", "Cu3+", 0.4770199433], + ["Cu3+", "Sb2-", -0.0115210392], + ["Sb2-", "Cu3+", -0.0115210392], + ["Cu3+", "Sb3-", -0.1640874747], + ["Sb3-", "Cu3+", -0.1640874747], + ["Cu3+", "Sb3+", 0.2971112137], + ["Sb3+", "Cu3+", 0.2971112137], + ["Cu3+", "Sb4+", 0.5154269325], + ["Sb4+", "Cu3+", 0.5154269325], + ["Cu3+", "Te2-", 0.0211271483], + ["Te2-", "Cu3+", 0.0211271483], + ["Cu3+", "Te4+", 0.492414543], + ["Te4+", "Cu3+", 0.492414543], + ["Cu3+", "Te6+", 0.5149832484], + ["Te6+", "Cu3+", 0.5149832484], + ["Cu3+", "Te2+", 0.2225713314], + ["Te2+", "Cu3+", 0.2225713314], + ["Cu3+", "Te5+", 0.440760076], + ["Te5+", "Cu3+", 0.440760076], + ["Cu3+", "I3+", 0.5432442863], + ["I3+", "Cu3+", 0.5432442863], + ["Cu3+", "I7+", 0.4914798633], + ["I7+", "Cu3+", 0.4914798633], + ["Cu3+", "I5+", 0.6300106058], + ["I5+", "Cu3+", 0.6300106058], + ["Cu3+", "I2+", 0.547928766], + ["I2+", "Cu3+", 0.547928766], + ["Cu3+", "Ba2+", 0.4478712889], + ["Ba2+", "Cu3+", 0.4478712889], + ["Cu3+", "La3+", 0.2185925959], + ["La3+", "Cu3+", 0.2185925959], + ["Cu3+", "La2+", 0.0999516429], + ["La2+", "Cu3+", 0.0999516429], + ["Cu3+", "Ce3+", -0.0332461385], + ["Ce3+", "Cu3+", -0.0332461385], + ["Cu3+", "Ce2+", -0.1406315994], + ["Ce2+", "Cu3+", -0.1406315994], + ["Cu3+", "Ce4+", 0.2433137977], + ["Ce4+", "Cu3+", 0.2433137977], + ["Cu3+", "Pr3+", 0.0853990195], + ["Pr3+", "Cu3+", 0.0853990195], + ["Cu3+", "Pr4+", 0.2314985232], + ["Pr4+", "Cu3+", 0.2314985232], + ["Cu3+", "Pr2+", 0.01795545], + ["Pr2+", "Cu3+", 0.01795545], + 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"Cu3+", 0.12099418], + ["Cu3+", "Ho2+", -0.0240571676], + ["Ho2+", "Cu3+", -0.0240571676], + ["Cu3+", "Er3+", 0.1615840073], + ["Er3+", "Cu3+", 0.1615840073], + ["Cu3+", "Tm3+", 0.0876676343], + ["Tm3+", "Cu3+", 0.0876676343], + ["Cu3+", "Tm2+", -0.1388630598], + ["Tm2+", "Cu3+", -0.1388630598], + ["Cu3+", "Yb3+", 0.1815397396], + ["Yb3+", "Cu3+", 0.1815397396], + ["Cu3+", "Yb2+", -0.1217144035], + ["Yb2+", "Cu3+", -0.1217144035], + ["Cu3+", "Lu3+", 0.1430052861], + ["Lu3+", "Cu3+", 0.1430052861], + ["Cu3+", "Hf3+", -0.1394323812], + ["Hf3+", "Cu3+", -0.1394323812], + ["Cu3+", "Hf2+", 0.0726587667], + ["Hf2+", "Cu3+", 0.0726587667], + ["Cu3+", "Hf4+", 0.3099976735], + ["Hf4+", "Cu3+", 0.3099976735], + ["Cu3+", "Ta5+", 0.428313463], + ["Ta5+", "Cu3+", 0.428313463], + ["Cu3+", "Ta3+", -0.0277475116], + ["Ta3+", "Cu3+", -0.0277475116], + ["Cu3+", "Ta4+", 0.0873846454], + ["Ta4+", "Cu3+", 0.0873846454], + ["Cu3+", "Ta2+", -0.1651849438], + ["Ta2+", "Cu3+", -0.1651849438], + ["Cu3+", "W6+", 0.4924939351], + ["W6+", "Cu3+", 0.4924939351], + ["Cu3+", "W4+", 0.3575714457], + ["W4+", "Cu3+", 0.3575714457], + ["Cu3+", "W2+", -0.0063074247], + ["W2+", "Cu3+", -0.0063074247], + ["Cu3+", "W3+", 0.2406622039], + ["W3+", "Cu3+", 0.2406622039], + ["Cu3+", "W5+", 0.4244145588], + ["W5+", "Cu3+", 0.4244145588], + ["Cu3+", "Re5+", 0.1998364755], + ["Re5+", "Cu3+", 0.1998364755], + ["Cu3+", "Re3+", -0.1783078499], + ["Re3+", "Cu3+", -0.1783078499], + ["Cu3+", "Re6+", 0.1713620292], + ["Re6+", "Cu3+", 0.1713620292], + ["Cu3+", "Re2+", 0.1599551477], + ["Re2+", "Cu3+", 0.1599551477], + ["Cu3+", "Re4+", 0.0257667845], + ["Re4+", "Cu3+", 0.0257667845], + ["Cu3+", "Re7+", 0.1327576074], + ["Re7+", "Cu3+", 0.1327576074], + ["Cu3+", "Os7+", 0.3604230263], + ["Os7+", "Cu3+", 0.3604230263], + ["Cu3+", "Os6+", 0.2512141587], + ["Os6+", "Cu3+", 0.2512141587], + ["Cu3+", "Os5+", 0.1998745609], + ["Os5+", "Cu3+", 0.1998745609], + ["Cu3+", "Os2-", -0.3405588076], + ["Os2-", "Cu3+", -0.3405588076], + ["Cu3+", "Os3+", -0.0410752546], + ["Os3+", "Cu3+", -0.0410752546], + ["Cu3+", "Os4+", 0.0456474444], + ["Os4+", "Cu3+", 0.0456474444], + ["Cu3+", "Os8+", 0.1561440951], + ["Os8+", "Cu3+", 0.1561440951], + ["Cu3+", "Os2+", 0.1494849289], + ["Os2+", "Cu3+", 0.1494849289], + ["Cu3+", "Ir3+", 0.0234573518], + ["Ir3+", "Cu3+", 0.0234573518], + ["Cu3+", "Ir4+", 0.1363305918], + ["Ir4+", "Cu3+", 0.1363305918], + ["Cu3+", "Ir5+", 0.027087212], + ["Ir5+", "Cu3+", 0.027087212], + ["Cu3+", "Ir6+", 0.4190808237], + ["Ir6+", "Cu3+", 0.4190808237], + ["Cu3+", "Pt2+", 0.0030858305], + ["Pt2+", "Cu3+", 0.0030858305], + ["Cu3+", "Pt2-", -0.2504889407], + ["Pt2-", "Cu3+", -0.2504889407], + ["Cu3+", "Pt4+", 0.3445828516], + ["Pt4+", "Cu3+", 0.3445828516], + ["Cu3+", "Pt3+", 0.1861261691], + ["Pt3+", "Cu3+", 0.1861261691], + ["Cu3+", "Pt5+", 0.21084341], + ["Pt5+", "Cu3+", 0.21084341], + ["Cu3+", "Pt6+", 0.4241937452], + ["Pt6+", "Cu3+", 0.4241937452], + ["Cu3+", "Au2+", 0.030744469], + ["Au2+", "Cu3+", 0.030744469], + ["Cu3+", "Au3+", 0.2183702721], + ["Au3+", "Cu3+", 0.2183702721], + ["Cu3+", "Au5+", 0.2260483392], + ["Au5+", "Cu3+", 0.2260483392], + ["Cu3+", "Au4+", 0.2487346668], + ["Au4+", "Cu3+", 0.2487346668], + ["Cu3+", "Hg2+", 0.1530653247], + ["Hg2+", "Cu3+", 0.1530653247], + ["Cu3+", "Tl3+", 0.3517953491], + ["Tl3+", "Cu3+", 0.3517953491], + ["Cu3+", "Tl2+", 0.3597077056], + ["Tl2+", "Cu3+", 0.3597077056], + ["Cu3+", "Pb2+", 0.391535581], + ["Pb2+", "Cu3+", 0.391535581], + ["Cu3+", "Pb3+", 0.4212166624], + ["Pb3+", "Cu3+", 0.4212166624], + ["Cu3+", "Pb4+", 0.3922511857], + ["Pb4+", "Cu3+", 0.3922511857], + ["Cu3+", "Bi3+", 0.4825583492], + ["Bi3+", "Cu3+", 0.4825583492], + ["Cu3+", "Bi5+", 0.4925516037], + ["Bi5+", "Cu3+", 0.4925516037], + ["Cu3+", "Bi2+", 0.1877211138], + ["Bi2+", "Cu3+", 0.1877211138], + ["Cu3+", "Bi3-", 0.0712301878], + ["Bi3-", "Cu3+", 0.0712301878], + ["Cu3+", "Bi4+", 0.3861251893], + ["Bi4+", "Cu3+", 0.3861251893], + ["Cu3+", "Ac3+", 0.1201038945], + ["Ac3+", "Cu3+", 0.1201038945], + ["Cu3+", "Th4+", 0.2297248509], + ["Th4+", "Cu3+", 0.2297248509], + ["Cu3+", "Th3+", -0.2257609709], + ["Th3+", "Cu3+", -0.2257609709], + ["Cu3+", "Pa4+", -0.0388182797], + ["Pa4+", "Cu3+", -0.0388182797], + ["Cu3+", "Pa5+", 0.3449632586], + ["Pa5+", "Cu3+", 0.3449632586], + ["Cu3+", "Pa3+", -0.0742219316], + ["Pa3+", "Cu3+", -0.0742219316], + ["Cu3+", "U6+", 0.3916383962], + ["U6+", "Cu3+", 0.3916383962], + ["Cu3+", "U4+", 0.0440900461], + ["U4+", "Cu3+", 0.0440900461], + ["Cu3+", "U3+", -0.1843686104], + ["U3+", "Cu3+", -0.1843686104], + ["Cu3+", "U2+", -0.27207593], + ["U2+", "Cu3+", -0.27207593], + ["Cu3+", "U5+", 0.1861356792], + ["U5+", "Cu3+", 0.1861356792], + ["Cu3+", "Np6+", 0.2104282158], + ["Np6+", "Cu3+", 0.2104282158], + ["Cu3+", "Np4+", 0.1227382598], + ["Np4+", "Cu3+", 0.1227382598], + ["Cu3+", "Np3+", -0.0916627471], + ["Np3+", "Cu3+", -0.0916627471], + ["Cu3+", "Np7+", 0.3799738538], + ["Np7+", "Cu3+", 0.3799738538], + ["Cu3+", "Np5+", 0.2728208954], + ["Np5+", "Cu3+", 0.2728208954], + ["Cu3+", "Pu7+", 0.4872110177], + ["Pu7+", "Cu3+", 0.4872110177], + ["Cu3+", "Pu6+", 0.0222321152], + ["Pu6+", "Cu3+", 0.0222321152], + ["Cu3+", "Pu3+", -0.0110065093], + ["Pu3+", "Cu3+", -0.0110065093], + ["Cu3+", "Pu4+", 0.3362068317], + ["Pu4+", "Cu3+", 0.3362068317], + ["Cu3+", "Pu5+", 0.2198112452], + ["Pu5+", "Cu3+", 0.2198112452], + ["Cu3+", "H1+", 0.3556710139], + ["H1+", "Cu3+", 0.3556710139], + ["Cu3+", "H1-", 0.1410091915], + ["H1-", "Cu3+", 0.1410091915], + ["Cu3+", "Li1+", 0.4106927496], + ["Li1+", "Cu3+", 0.4106927496], + ["Cu3+", "B1+", 0.2165274487], + ["B1+", "Cu3+", 0.2165274487], + ["Cu3+", "B1-", -0.0497126224], + ["B1-", "Cu3+", -0.0497126224], + ["Cu3+", "C1-", 0.0718863921], + ["C1-", "Cu3+", 0.0718863921], + ["Cu3+", "C1+", 0.3181905975], + ["C1+", "Cu3+", 0.3181905975], + ["Cu3+", "N1-", 0.3235519006], + ["N1-", "Cu3+", 0.3235519006], + ["Cu3+", "N1+", 0.4055021369], + ["N1+", "Cu3+", 0.4055021369], + ["Cu3+", "O1-", 0.4956508547], + ["O1-", "Cu3+", 0.4956508547], + ["Cu3+", "F1-", 0.1789937661], + ["F1-", "Cu3+", 0.1789937661], + ["Cu3+", "Na1+", 0.5069841402], + ["Na1+", "Cu3+", 0.5069841402], + ["Cu3+", "Si1-", 0.0956421527], + ["Si1-", "Cu3+", 0.0956421527], + ["Cu3+", "P1+", 0.0287293682], + ["P1+", "Cu3+", 0.0287293682], + ["Cu3+", "P1-", 0.0401346041], + ["P1-", "Cu3+", 0.0401346041], + ["Cu3+", "S1-", 0.1776591559], + ["S1-", "Cu3+", 0.1776591559], + ["Cu3+", "S1+", 0.1785502696], + ["S1+", "Cu3+", 0.1785502696], + ["Cu3+", "Cl1-", 0.0911376658], + ["Cl1-", "Cu3+", 0.0911376658], + ["Cu3+", "K1+", 0.4408426544], + ["K1+", "Cu3+", 0.4408426544], + ["Cu3+", "Sc1+", -0.1584295589], + ["Sc1+", "Cu3+", -0.1584295589], + ["Cu3+", "Mn1+", 0.2125255998], + ["Mn1+", "Cu3+", 0.2125255998], + ["Cu3+", "Fe1+", -0.1477656895], + ["Fe1+", "Cu3+", -0.1477656895], + ["Cu3+", "Co1+", -0.1115378982], + ["Co1+", "Cu3+", -0.1115378982], + ["Cu3+", "Ni1+", -0.2202225902], + ["Ni1+", "Cu3+", -0.2202225902], + ["Cu3+", "Cu1+", -0.0034704446], + ["Cu1+", "Cu3+", -0.0034704446], + ["Cu3+", "Ga1+", 0.0902909019], + ["Ga1+", "Cu3+", 0.0902909019], + ["Cu3+", "As1-", 0.1267317226], + ["As1-", "Cu3+", 0.1267317226], + ["Cu3+", "As1+", 0.0259701808], + ["As1+", "Cu3+", 0.0259701808], + ["Cu3+", "Se1-", 0.2296906678], + ["Se1-", "Cu3+", 0.2296906678], + ["Cu3+", "Se1+", 0.2779980109], + ["Se1+", "Cu3+", 0.2779980109], + ["Cu3+", "Br1-", 0.1567770994], + ["Br1-", "Cu3+", 0.1567770994], + ["Cu3+", "Br1+", 0.4169852918], + ["Br1+", "Cu3+", 0.4169852918], + ["Cu3+", "Rb1+", 0.4390313921], + ["Rb1+", "Cu3+", 0.4390313921], + ["Cu3+", "Y1+", 0.1042738067], + ["Y1+", "Cu3+", 0.1042738067], + ["Cu3+", "Zr1+", -0.1661530554], + ["Zr1+", "Cu3+", -0.1661530554], + ["Cu3+", "Nb1+", -0.1006116229], + ["Nb1+", "Cu3+", -0.1006116229], + ["Cu3+", "Tc1-", -0.0553809923], + ["Tc1-", "Cu3+", -0.0553809923], + ["Cu3+", "Tc1+", 0.1133710843], + ["Tc1+", "Cu3+", 0.1133710843], + ["Cu3+", "Rh1+", -0.1462097014], + ["Rh1+", "Cu3+", -0.1462097014], + ["Cu3+", "Ag1+", 0.3081706506], + ["Ag1+", "Cu3+", 0.3081706506], + ["Cu3+", "In1+", -0.0090815082], + ["In1+", "Cu3+", -0.0090815082], + ["Cu3+", "Sb1-", -0.05939149], + ["Sb1-", "Cu3+", -0.05939149], + ["Cu3+", "Sb1+", 0.083869463], + ["Sb1+", "Cu3+", 0.083869463], + ["Cu3+", "Te1-", 0.1649728815], + ["Te1-", "Cu3+", 0.1649728815], + ["Cu3+", "Te1+", 0.2016988502], + ["Te1+", "Cu3+", 0.2016988502], + ["Cu3+", "I1-", 0.2309120779], + ["I1-", "Cu3+", 0.2309120779], + ["Cu3+", "I1+", 0.341813112], + ["I1+", "Cu3+", 0.341813112], + ["Cu3+", "Cs1+", 0.3069486809], + ["Cs1+", "Cu3+", 0.3069486809], + ["Cu3+", "La1+", -0.0920548025], + ["La1+", "Cu3+", -0.0920548025], + ["Cu3+", "Tb1+", -0.1553362676], + ["Tb1+", "Cu3+", -0.1553362676], + ["Cu3+", "Ta1+", -0.3124540532], + ["Ta1+", "Cu3+", -0.3124540532], + ["Cu3+", "Os1-", -0.272345555], + ["Os1-", "Cu3+", -0.272345555], + ["Cu3+", "Os1+", 0.1789057208], + ["Os1+", "Cu3+", 0.1789057208], + ["Cu3+", "Pt1-", -0.2042335991], + ["Pt1-", "Cu3+", -0.2042335991], + ["Cu3+", "Pt1+", 0.0816840556], + ["Pt1+", "Cu3+", 0.0816840556], + ["Cu3+", "Au1-", -0.0938173364], + ["Au1-", "Cu3+", -0.0938173364], + ["Cu3+", "Au1+", -0.03646918], + ["Au1+", "Cu3+", -0.03646918], + ["Cu3+", "Hg1+", 0.5654066627], + ["Hg1+", "Cu3+", 0.5654066627], + ["Cu3+", "Tl1+", 0.3619754366], + ["Tl1+", "Cu3+", 0.3619754366], + ["Cu3+", "Bi1+", 0.0027390844], + ["Bi1+", "Cu3+", 0.0027390844], + ["Zn2+", "Zn2+", 1.0], + ["Zn2+", "Ga3+", 0.6757182743], + ["Ga3+", "Zn2+", 0.6757182743], + ["Zn2+", "Ga4+", 0.1976353105], + ["Ga4+", "Zn2+", 0.1976353105], + ["Zn2+", "Ga2+", 0.3543053998], + ["Ga2+", "Zn2+", 0.3543053998], + ["Zn2+", "Ge4-", 0.13025822], + ["Ge4-", "Zn2+", 0.13025822], + ["Zn2+", "Ge4+", 0.6183291057], + ["Ge4+", "Zn2+", 0.6183291057], + ["Zn2+", "Ge2-", 0.2162929874], + ["Ge2-", "Zn2+", 0.2162929874], + ["Zn2+", "Ge2+", 0.1972076431], + ["Ge2+", "Zn2+", 0.1972076431], + ["Zn2+", "Ge3+", 0.30351513], + ["Ge3+", "Zn2+", 0.30351513], + ["Zn2+", "As2-", 0.260632235], + ["As2-", "Zn2+", 0.260632235], + ["Zn2+", "As3+", 0.2861014021], + ["As3+", "Zn2+", 0.2861014021], + ["Zn2+", "As5+", 0.2032665117], + ["As5+", "Zn2+", 0.2032665117], + ["Zn2+", "As3-", 0.1943862872], + ["As3-", "Zn2+", 0.1943862872], + ["Zn2+", "As2+", 0.3657314524], + ["As2+", "Zn2+", 0.3657314524], + ["Zn2+", "As4+", 0.1959914164], + ["As4+", "Zn2+", 0.1959914164], + ["Zn2+", "Se2-", 0.0082092702], + ["Se2-", "Zn2+", 0.0082092702], + ["Zn2+", "Se4+", 0.2889288431], + ["Se4+", "Zn2+", 0.2889288431], + ["Zn2+", "Se6+", 0.1305537603], + ["Se6+", "Zn2+", 0.1305537603], + ["Zn2+", "Se5+", 0.3329884143], + ["Se5+", "Zn2+", 0.3329884143], + ["Zn2+", "Se2+", 0.2896147288], + ["Se2+", "Zn2+", 0.2896147288], + ["Zn2+", "Se3+", 0.0756466], + ["Se3+", "Zn2+", 0.0756466], + ["Zn2+", "Br2+", 0.3780314804], + ["Br2+", "Zn2+", 0.3780314804], + ["Zn2+", "Br5+", 0.1620102127], + ["Br5+", "Zn2+", 0.1620102127], + ["Zn2+", "Br3+", 0.0780965333], + ["Br3+", "Zn2+", 0.0780965333], + ["Zn2+", "Sr2+", 0.6363314166], + ["Sr2+", "Zn2+", 0.6363314166], + ["Zn2+", "Y3+", 0.3664366921], + ["Y3+", "Zn2+", 0.3664366921], + ["Zn2+", "Y2+", 0.206822409], + ["Y2+", "Zn2+", 0.206822409], + ["Zn2+", "Zr2+", -0.0165451629], + ["Zr2+", "Zn2+", -0.0165451629], + ["Zn2+", "Zr4+", 0.1899843579], + ["Zr4+", "Zn2+", 0.1899843579], + ["Zn2+", "Zr3+", 0.1021837465], + ["Zr3+", "Zn2+", 0.1021837465], + ["Zn2+", "Nb5+", 0.3384091196], + ["Nb5+", "Zn2+", 0.3384091196], + ["Zn2+", "Nb3+", 0.3705181462], + ["Nb3+", "Zn2+", 0.3705181462], + ["Zn2+", "Nb4+", 0.3304402677], + ["Nb4+", "Zn2+", 0.3304402677], + ["Zn2+", "Nb2+", 0.341325094], + ["Nb2+", "Zn2+", 0.341325094], + ["Zn2+", "Nb7+", 0.1759060981], + ["Nb7+", "Zn2+", 0.1759060981], + ["Zn2+", "Mo3+", 0.470521713], + ["Mo3+", "Zn2+", 0.470521713], + ["Zn2+", "Mo4+", 0.4466937833], + ["Mo4+", "Zn2+", 0.4466937833], + ["Zn2+", "Mo6+", 0.4335489428], + ["Mo6+", "Zn2+", 0.4335489428], + ["Zn2+", "Mo5+", 0.2297238724], + ["Mo5+", "Zn2+", 0.2297238724], + ["Zn2+", "Mo2+", 0.3290875875], + ["Mo2+", "Zn2+", 0.3290875875], + ["Zn2+", "Tc4+", 0.1792489217], + ["Tc4+", "Zn2+", 0.1792489217], + ["Zn2+", "Tc3-", -0.052532984], + ["Tc3-", "Zn2+", -0.052532984], + ["Zn2+", "Tc3+", 0.4312564747], + ["Tc3+", "Zn2+", 0.4312564747], + ["Zn2+", "Tc7+", 0.1586638656], + ["Tc7+", "Zn2+", 0.1586638656], + ["Zn2+", "Tc5+", 0.2438317026], + ["Tc5+", "Zn2+", 0.2438317026], + ["Zn2+", "Tc6+", -0.174718231], + ["Tc6+", "Zn2+", -0.174718231], + ["Zn2+", "Tc2-", -0.0794881311], + ["Tc2-", "Zn2+", -0.0794881311], + ["Zn2+", "Tc2+", 0.1039939881], + ["Tc2+", "Zn2+", 0.1039939881], + ["Zn2+", "Ru2+", 0.2279890051], + ["Ru2+", "Zn2+", 0.2279890051], + ["Zn2+", "Ru6+", 0.1718867477], + ["Ru6+", "Zn2+", 0.1718867477], + ["Zn2+", "Ru4+", 0.4693098849], + ["Ru4+", "Zn2+", 0.4693098849], + ["Zn2+", "Ru5+", 0.5757732001], + ["Ru5+", "Zn2+", 0.5757732001], + ["Zn2+", "Ru3+", 0.1063755646], + ["Ru3+", "Zn2+", 0.1063755646], + ["Zn2+", "Rh4+", 0.2177980242], + ["Rh4+", "Zn2+", 0.2177980242], + ["Zn2+", "Rh3+", 0.372595899], + ["Rh3+", "Zn2+", 0.372595899], + ["Zn2+", "Pd2+", 0.3777487945], + ["Pd2+", "Zn2+", 0.3777487945], + ["Zn2+", "Pd4+", 0.2643206057], + ["Pd4+", "Zn2+", 0.2643206057], + ["Zn2+", "Pd3+", 0.2492442154], + ["Pd3+", "Zn2+", 0.2492442154], + ["Zn2+", "Ag3+", 0.2060606528], + ["Ag3+", "Zn2+", 0.2060606528], + ["Zn2+", "Ag2+", 0.2078186483], + ["Ag2+", "Zn2+", 0.2078186483], + ["Zn2+", "Cd2+", 0.5783212574], + ["Cd2+", "Zn2+", 0.5783212574], + ["Zn2+", "In3+", 0.6157775686], + ["In3+", "Zn2+", 0.6157775686], + ["Zn2+", "In2+", 0.3325386814], + ["In2+", "Zn2+", 0.3325386814], + ["Zn2+", "Sn4+", 0.5364940821], + ["Sn4+", "Zn2+", 0.5364940821], + ["Zn2+", "Sn3+", 0.4904360402], + ["Sn3+", "Zn2+", 0.4904360402], + ["Zn2+", "Sn2+", 0.370166505], + ["Sn2+", "Zn2+", 0.370166505], + ["Zn2+", "Sb5+", 0.2484395709], + ["Sb5+", "Zn2+", 0.2484395709], + ["Zn2+", "Sb2-", -0.0367492999], + ["Sb2-", "Zn2+", -0.0367492999], + ["Zn2+", "Sb3-", 0.009640532], + ["Sb3-", "Zn2+", 0.009640532], + ["Zn2+", "Sb3+", 0.3349520767], + ["Sb3+", "Zn2+", 0.3349520767], + ["Zn2+", "Sb4+", 0.1660998764], + ["Sb4+", "Zn2+", 0.1660998764], + ["Zn2+", "Te2-", 0.0389755288], + ["Te2-", "Zn2+", 0.0389755288], + ["Zn2+", "Te4+", 0.4089385186], + ["Te4+", "Zn2+", 0.4089385186], + ["Zn2+", "Te6+", 0.2828166836], + ["Te6+", "Zn2+", 0.2828166836], + ["Zn2+", "Te2+", 0.1931325974], + ["Te2+", "Zn2+", 0.1931325974], + ["Zn2+", "Te5+", 0.3570304615], + ["Te5+", "Zn2+", 0.3570304615], + ["Zn2+", "I3+", 0.1142487133], + ["I3+", "Zn2+", 0.1142487133], + ["Zn2+", "I7+", 0.2674473713], + ["I7+", "Zn2+", 0.2674473713], + ["Zn2+", "I5+", 0.1570233492], + ["I5+", "Zn2+", 0.1570233492], + ["Zn2+", "I2+", 0.2095931198], + ["I2+", "Zn2+", 0.2095931198], + ["Zn2+", "Ba2+", 0.56798228], + ["Ba2+", "Zn2+", 0.56798228], + ["Zn2+", "La3+", 0.5546326787], + ["La3+", "Zn2+", 0.5546326787], + ["Zn2+", "La2+", 0.2973685667], + ["La2+", "Zn2+", 0.2973685667], + ["Zn2+", "Ce3+", 0.3878317758], + ["Ce3+", "Zn2+", 0.3878317758], + ["Zn2+", "Ce2+", 0.3382186535], + ["Ce2+", "Zn2+", 0.3382186535], + ["Zn2+", "Ce4+", 0.1972052459], + ["Ce4+", "Zn2+", 0.1972052459], + ["Zn2+", "Pr3+", 0.4415482837], + ["Pr3+", "Zn2+", 0.4415482837], + ["Zn2+", "Pr4+", 0.2986800649], + ["Pr4+", "Zn2+", 0.2986800649], + ["Zn2+", "Pr2+", 0.1986438773], + ["Pr2+", "Zn2+", 0.1986438773], + ["Zn2+", "Nd3+", 0.4566200434], + ["Nd3+", "Zn2+", 0.4566200434], + ["Zn2+", "Nd2+", 0.181524825], + ["Nd2+", "Zn2+", 0.181524825], + ["Zn2+", "Pm3+", 0.4975521094], + ["Pm3+", "Zn2+", 0.4975521094], + ["Zn2+", "Sm3+", 0.5355262456], + ["Sm3+", "Zn2+", 0.5355262456], + ["Zn2+", "Sm2+", 0.222222823], + ["Sm2+", "Zn2+", 0.222222823], + ["Zn2+", "Eu2+", 0.5451758201], + ["Eu2+", "Zn2+", 0.5451758201], + ["Zn2+", "Eu3+", 0.4855575742], + ["Eu3+", "Zn2+", 0.4855575742], + ["Zn2+", "Gd2+", 0.0939969608], + ["Gd2+", "Zn2+", 0.0939969608], + ["Zn2+", "Gd3+", 0.4647121002], + ["Gd3+", "Zn2+", 0.4647121002], + ["Zn2+", "Tb3+", 0.2958651587], + ["Tb3+", "Zn2+", 0.2958651587], + ["Zn2+", "Tb2+", 0.2192822835], + ["Tb2+", "Zn2+", 0.2192822835], + ["Zn2+", "Tb4+", 0.1888735924], + ["Tb4+", "Zn2+", 0.1888735924], + ["Zn2+", "Dy3+", 0.3392599269], + ["Dy3+", "Zn2+", 0.3392599269], + ["Zn2+", "Dy2+", 0.1431290139], + ["Dy2+", "Zn2+", 0.1431290139], + ["Zn2+", "Ho3+", 0.3238585745], + ["Ho3+", "Zn2+", 0.3238585745], + ["Zn2+", "Ho2+", 0.3096328734], + ["Ho2+", "Zn2+", 0.3096328734], + ["Zn2+", "Er3+", 0.3651062334], + ["Er3+", "Zn2+", 0.3651062334], + ["Zn2+", "Tm3+", 0.3545900965], + ["Tm3+", "Zn2+", 0.3545900965], + ["Zn2+", "Tm2+", 0.2532471108], + ["Tm2+", "Zn2+", 0.2532471108], + ["Zn2+", "Yb3+", 0.3461584328], + ["Yb3+", "Zn2+", 0.3461584328], + ["Zn2+", "Yb2+", 0.2271114122], + ["Yb2+", "Zn2+", 0.2271114122], + ["Zn2+", "Lu3+", 0.3033171228], + ["Lu3+", "Zn2+", 0.3033171228], + ["Zn2+", "Hf3+", 0.4319221249], + ["Hf3+", "Zn2+", 0.4319221249], + ["Zn2+", "Hf2+", 0.0880737852], + ["Hf2+", "Zn2+", 0.0880737852], + ["Zn2+", "Hf4+", 0.4319929138], + ["Hf4+", "Zn2+", 0.4319929138], + ["Zn2+", "Ta5+", 0.3361546006], + ["Ta5+", "Zn2+", 0.3361546006], + ["Zn2+", "Ta3+", 0.1105277736], + ["Ta3+", "Zn2+", 0.1105277736], + ["Zn2+", "Ta4+", 0.2967198665], + ["Ta4+", "Zn2+", 0.2967198665], + ["Zn2+", "Ta2+", 0.1463767141], + ["Ta2+", "Zn2+", 0.1463767141], + ["Zn2+", "W6+", 0.3721760609], + ["W6+", "Zn2+", 0.3721760609], + ["Zn2+", "W4+", 0.3559457633], + ["W4+", "Zn2+", 0.3559457633], + ["Zn2+", "W2+", 0.3270025418], + ["W2+", "Zn2+", 0.3270025418], + ["Zn2+", "W3+", 0.369168257], + ["W3+", "Zn2+", 0.369168257], + ["Zn2+", "W5+", 0.1944151381], + ["W5+", "Zn2+", 0.1944151381], + ["Zn2+", "Re5+", 0.2710653363], + ["Re5+", "Zn2+", 0.2710653363], + ["Zn2+", "Re3+", 0.2212567887], + ["Re3+", "Zn2+", 0.2212567887], + ["Zn2+", "Re6+", 0.1267406612], + ["Re6+", "Zn2+", 0.1267406612], + ["Zn2+", "Re2+", 0.0795096256], + ["Re2+", "Zn2+", 0.0795096256], + ["Zn2+", "Re4+", 0.2984009489], + ["Re4+", "Zn2+", 0.2984009489], + ["Zn2+", "Re7+", 0.3329583558], + ["Re7+", "Zn2+", 0.3329583558], + ["Zn2+", "Os7+", 0.0839306787], + ["Os7+", "Zn2+", 0.0839306787], + ["Zn2+", "Os6+", -0.0355478944], + ["Os6+", "Zn2+", -0.0355478944], + ["Zn2+", "Os5+", 0.3947326038], + ["Os5+", "Zn2+", 0.3947326038], + ["Zn2+", "Os2-", -0.0050095057], + ["Os2-", "Zn2+", -0.0050095057], + ["Zn2+", "Os3+", 0.1312168904], + ["Os3+", "Zn2+", 0.1312168904], + ["Zn2+", "Os4+", 0.3048522328], + ["Os4+", "Zn2+", 0.3048522328], + ["Zn2+", "Os8+", 0.1151797861], + ["Os8+", "Zn2+", 0.1151797861], + ["Zn2+", "Os2+", 0.1935238], + ["Os2+", "Zn2+", 0.1935238], + ["Zn2+", "Ir3+", 0.2128579189], + ["Ir3+", "Zn2+", 0.2128579189], + ["Zn2+", "Ir4+", 0.2812515122], + ["Ir4+", "Zn2+", 0.2812515122], + ["Zn2+", "Ir5+", 0.3826098171], + ["Ir5+", "Zn2+", 0.3826098171], + ["Zn2+", "Ir6+", 0.0569640488], + ["Ir6+", "Zn2+", 0.0569640488], + ["Zn2+", "Pt2+", 0.3427952882], + ["Pt2+", "Zn2+", 0.3427952882], + ["Zn2+", "Pt2-", 0.0028561172], + ["Pt2-", "Zn2+", 0.0028561172], + ["Zn2+", "Pt4+", 0.2726085637], + ["Pt4+", "Zn2+", 0.2726085637], + ["Zn2+", "Pt3+", 0.2732398959], + ["Pt3+", "Zn2+", 0.2732398959], + ["Zn2+", "Pt5+", 0.3053397182], + ["Pt5+", "Zn2+", 0.3053397182], + ["Zn2+", "Pt6+", 0.1052730398], + ["Pt6+", "Zn2+", 0.1052730398], + ["Zn2+", "Au2+", 0.0321654014], + ["Au2+", "Zn2+", 0.0321654014], + ["Zn2+", "Au3+", 0.2644749369], + ["Au3+", "Zn2+", 0.2644749369], + ["Zn2+", "Au5+", 0.1247750295], + ["Au5+", "Zn2+", 0.1247750295], + ["Zn2+", "Au4+", 0.0502803774], + ["Au4+", "Zn2+", 0.0502803774], + ["Zn2+", "Hg2+", 0.4849385179], + ["Hg2+", "Zn2+", 0.4849385179], + ["Zn2+", "Tl3+", 0.324302274], + ["Tl3+", "Zn2+", 0.324302274], + ["Zn2+", "Tl2+", 0.3480025923], + ["Tl2+", "Zn2+", 0.3480025923], + ["Zn2+", "Pb2+", 0.5281193207], + ["Pb2+", "Zn2+", 0.5281193207], + ["Zn2+", "Pb3+", 0.1877205005], + ["Pb3+", "Zn2+", 0.1877205005], + ["Zn2+", "Pb4+", 0.0059530244], + ["Pb4+", "Zn2+", 0.0059530244], + ["Zn2+", "Bi3+", 0.5572254722], + ["Bi3+", "Zn2+", 0.5572254722], + ["Zn2+", "Bi5+", 0.2047142645], + ["Bi5+", "Zn2+", 0.2047142645], + ["Zn2+", "Bi2+", 0.2945020739], + ["Bi2+", "Zn2+", 0.2945020739], + ["Zn2+", "Bi3-", 0.2566686713], + ["Bi3-", "Zn2+", 0.2566686713], + ["Zn2+", "Bi4+", 0.2501790411], + ["Bi4+", "Zn2+", 0.2501790411], + ["Zn2+", "Ac3+", 0.4062589286], + ["Ac3+", "Zn2+", 0.4062589286], + ["Zn2+", "Th4+", 0.112055052], + ["Th4+", "Zn2+", 0.112055052], + ["Zn2+", "Th3+", 0.2468781074], + ["Th3+", "Zn2+", 0.2468781074], + ["Zn2+", "Pa4+", 0.1457135256], + ["Pa4+", "Zn2+", 0.1457135256], + ["Zn2+", "Pa5+", 0.1913661515], + ["Pa5+", "Zn2+", 0.1913661515], + ["Zn2+", "Pa3+", 0.2581819279], + ["Pa3+", "Zn2+", 0.2581819279], + ["Zn2+", "U6+", 0.2178273889], + ["U6+", "Zn2+", 0.2178273889], + ["Zn2+", "U4+", 0.1097226579], + ["U4+", "Zn2+", 0.1097226579], + ["Zn2+", "U3+", 0.214973911], + ["U3+", "Zn2+", 0.214973911], + ["Zn2+", "U2+", 0.2197392217], + ["U2+", "Zn2+", 0.2197392217], + ["Zn2+", "U5+", 0.0386368995], + ["U5+", "Zn2+", 0.0386368995], + ["Zn2+", "Np6+", 0.158406928], + ["Np6+", "Zn2+", 0.158406928], + ["Zn2+", "Np4+", 0.178022854], + ["Np4+", "Zn2+", 0.178022854], + ["Zn2+", "Np3+", 0.2271622046], + ["Np3+", "Zn2+", 0.2271622046], + ["Zn2+", "Np7+", 0.2219272743], + ["Np7+", "Zn2+", 0.2219272743], + ["Zn2+", "Np5+", 0.4231509721], + ["Np5+", "Zn2+", 0.4231509721], + ["Zn2+", "Pu7+", 0.258148983], + ["Pu7+", "Zn2+", 0.258148983], + ["Zn2+", "Pu6+", 0.1670152386], + ["Pu6+", "Zn2+", 0.1670152386], + ["Zn2+", "Pu3+", 0.2163778613], + ["Pu3+", "Zn2+", 0.2163778613], + ["Zn2+", "Pu4+", 0.0944463251], + ["Pu4+", "Zn2+", 0.0944463251], + ["Zn2+", "Pu5+", 0.2422491522], + ["Pu5+", "Zn2+", 0.2422491522], + ["Zn2+", "H1+", 0.0763699919], + ["H1+", "Zn2+", 0.0763699919], + ["Zn2+", "H1-", 0.1349558185], + ["H1-", "Zn2+", 0.1349558185], + ["Zn2+", "Li1+", 0.6337819046], + ["Li1+", "Zn2+", 0.6337819046], + ["Zn2+", "B1+", 0.0502085666], + ["B1+", "Zn2+", 0.0502085666], + ["Zn2+", "B1-", -0.1906213142], + ["B1-", "Zn2+", -0.1906213142], + ["Zn2+", "C1-", 0.0998807323], + ["C1-", "Zn2+", 0.0998807323], + ["Zn2+", "C1+", 0.2443155025], + ["C1+", "Zn2+", 0.2443155025], + ["Zn2+", "N1-", 0.0599670548], + ["N1-", "Zn2+", 0.0599670548], + ["Zn2+", "N1+", 0.2415883749], + ["N1+", "Zn2+", 0.2415883749], + ["Zn2+", "O1-", 0.1879195937], + ["O1-", "Zn2+", 0.1879195937], + ["Zn2+", "F1-", 0.1130575771], + ["F1-", "Zn2+", 0.1130575771], + ["Zn2+", "Na1+", 0.5491331864], + ["Na1+", "Zn2+", 0.5491331864], + ["Zn2+", "Si1-", 0.0200250763], + ["Si1-", "Zn2+", 0.0200250763], + ["Zn2+", "P1+", 0.1681496744], + ["P1+", "Zn2+", 0.1681496744], + ["Zn2+", "P1-", 0.0772227667], + ["P1-", "Zn2+", 0.0772227667], + ["Zn2+", "S1-", 0.0787846091], + ["S1-", "Zn2+", 0.0787846091], + ["Zn2+", "S1+", 0.127761689], + ["S1+", "Zn2+", 0.127761689], + ["Zn2+", "Cl1-", 0.1086385643], + ["Cl1-", "Zn2+", 0.1086385643], + ["Zn2+", "K1+", 0.4908269558], + ["K1+", "Zn2+", 0.4908269558], + ["Zn2+", "Sc1+", 0.1350140712], + ["Sc1+", "Zn2+", 0.1350140712], + ["Zn2+", "Mn1+", 0.4797089624], + ["Mn1+", "Zn2+", 0.4797089624], + ["Zn2+", "Fe1+", 0.2783854206], + ["Fe1+", "Zn2+", 0.2783854206], + ["Zn2+", "Co1+", 0.3196379915], + ["Co1+", "Zn2+", 0.3196379915], + ["Zn2+", "Ni1+", 0.3402813462], + ["Ni1+", "Zn2+", 0.3402813462], + ["Zn2+", "Cu1+", 0.6099581436], + ["Cu1+", "Zn2+", 0.6099581436], + ["Zn2+", "Ga1+", 0.1930691194], + ["Ga1+", "Zn2+", 0.1930691194], + ["Zn2+", "As1-", 0.0763242719], + ["As1-", "Zn2+", 0.0763242719], + ["Zn2+", "As1+", 0.3513382428], + ["As1+", "Zn2+", 0.3513382428], + ["Zn2+", "Se1-", -0.043334434], + ["Se1-", "Zn2+", -0.043334434], + ["Zn2+", "Se1+", 0.3180186192], + ["Se1+", "Zn2+", 0.3180186192], + ["Zn2+", "Br1-", 0.1376283591], + ["Br1-", "Zn2+", 0.1376283591], + ["Zn2+", "Br1+", 0.0384137933], + ["Br1+", "Zn2+", 0.0384137933], + ["Zn2+", "Rb1+", 0.4185413948], + ["Rb1+", "Zn2+", 0.4185413948], + ["Zn2+", "Y1+", 0.1160845941], + ["Y1+", "Zn2+", 0.1160845941], + ["Zn2+", "Zr1+", 0.2016210415], + ["Zr1+", "Zn2+", 0.2016210415], + ["Zn2+", "Nb1+", 0.3022457359], + ["Nb1+", "Zn2+", 0.3022457359], + ["Zn2+", "Tc1-", 0.04801932], + ["Tc1-", "Zn2+", 0.04801932], + ["Zn2+", "Tc1+", 0.5454163881], + ["Tc1+", "Zn2+", 0.5454163881], + ["Zn2+", "Rh1+", 0.2636235585], + ["Rh1+", "Zn2+", 0.2636235585], + ["Zn2+", "Ag1+", 0.6055282709], + ["Ag1+", "Zn2+", 0.6055282709], + ["Zn2+", "In1+", 0.2092603497], + ["In1+", "Zn2+", 0.2092603497], + ["Zn2+", "Sb1-", -0.0063505719], + ["Sb1-", "Zn2+", -0.0063505719], + ["Zn2+", "Sb1+", 0.0761590831], + ["Sb1+", "Zn2+", 0.0761590831], + ["Zn2+", "Te1-", -0.1725698308], + ["Te1-", "Zn2+", -0.1725698308], + ["Zn2+", "Te1+", 0.2678320461], + ["Te1+", "Zn2+", 0.2678320461], + ["Zn2+", "I1-", 0.0291719914], + ["I1-", "Zn2+", 0.0291719914], + ["Zn2+", "I1+", 0.0140767593], + ["I1+", "Zn2+", 0.0140767593], + ["Zn2+", "Cs1+", 0.3953740991], + ["Cs1+", "Zn2+", 0.3953740991], + ["Zn2+", "La1+", -0.0329930685], + ["La1+", "Zn2+", -0.0329930685], + ["Zn2+", "Tb1+", 0.084096457], + ["Tb1+", "Zn2+", 0.084096457], + ["Zn2+", "Ta1+", 0.3091839623], + ["Ta1+", "Zn2+", 0.3091839623], + ["Zn2+", "Os1-", -0.0303718527], + ["Os1-", "Zn2+", -0.0303718527], + ["Zn2+", "Os1+", -0.1248348124], + ["Os1+", "Zn2+", -0.1248348124], + ["Zn2+", "Pt1-", 0.0998354865], + ["Pt1-", "Zn2+", 0.0998354865], + ["Zn2+", "Pt1+", 0.0449358668], + ["Pt1+", "Zn2+", 0.0449358668], + ["Zn2+", "Au1-", -0.1760326043], + ["Au1-", "Zn2+", -0.1760326043], + ["Zn2+", "Au1+", 0.194579261], + ["Au1+", "Zn2+", 0.194579261], + ["Zn2+", "Hg1+", 0.2742468623], + ["Hg1+", "Zn2+", 0.2742468623], + ["Zn2+", "Tl1+", 0.3849203092], + ["Tl1+", "Zn2+", 0.3849203092], + ["Zn2+", "Bi1+", 0.0748309031], + ["Bi1+", "Zn2+", 0.0748309031], + ["Ga3+", "Ga3+", 1.0], + ["Ga3+", "Ga4+", 0.2618931484], + ["Ga4+", "Ga3+", 0.2618931484], + ["Ga3+", "Ga2+", 0.4834846294], + ["Ga2+", "Ga3+", 0.4834846294], + ["Ga3+", "Ge4-", -0.1243668673], + ["Ge4-", "Ga3+", -0.1243668673], + ["Ga3+", "Ge4+", 0.6493129424], + ["Ge4+", "Ga3+", 0.6493129424], + ["Ga3+", "Ge2-", -0.0508691166], + ["Ge2-", "Ga3+", -0.0508691166], + ["Ga3+", "Ge2+", 0.3459596595], + ["Ge2+", "Ga3+", 0.3459596595], + ["Ga3+", "Ge3+", 0.4459946877], + ["Ge3+", "Ga3+", 0.4459946877], + ["Ga3+", "As2-", 0.1355211529], + ["As2-", "Ga3+", 0.1355211529], + ["Ga3+", "As3+", 0.3702708014], + ["As3+", "Ga3+", 0.3702708014], + ["Ga3+", "As5+", 0.1663319544], + ["As5+", "Ga3+", 0.1663319544], + ["Ga3+", "As3-", 0.0999373946], + ["As3-", "Ga3+", 0.0999373946], + ["Ga3+", "As2+", 0.4035180711], + ["As2+", "Ga3+", 0.4035180711], + ["Ga3+", "As4+", 0.2179639824], + ["As4+", "Ga3+", 0.2179639824], + ["Ga3+", "Se2-", 0.0220658947], + ["Se2-", "Ga3+", 0.0220658947], + ["Ga3+", "Se4+", 0.2953631414], + ["Se4+", "Ga3+", 0.2953631414], + ["Ga3+", "Se6+", 0.1865823391], + ["Se6+", "Ga3+", 0.1865823391], + ["Ga3+", "Se5+", 0.1897106226], + ["Se5+", "Ga3+", 0.1897106226], + ["Ga3+", "Se2+", 0.2751326479], + ["Se2+", "Ga3+", 0.2751326479], + ["Ga3+", "Se3+", 0.1628566736], + ["Se3+", "Ga3+", 0.1628566736], + ["Ga3+", "Br2+", 0.4087967148], + ["Br2+", "Ga3+", 0.4087967148], + ["Ga3+", "Br5+", 0.2129347843], + ["Br5+", "Ga3+", 0.2129347843], + ["Ga3+", "Br3+", 0.0500902973], + ["Br3+", "Ga3+", 0.0500902973], + ["Ga3+", "Sr2+", 0.6540055356], + ["Sr2+", "Ga3+", 0.6540055356], + ["Ga3+", "Y3+", 0.4392392349], + ["Y3+", "Ga3+", 0.4392392349], + ["Ga3+", "Y2+", 0.0670450883], + ["Y2+", "Ga3+", 0.0670450883], + ["Ga3+", "Zr2+", 0.204117887], + ["Zr2+", "Ga3+", 0.204117887], + ["Ga3+", "Zr4+", 0.3625526889], + ["Zr4+", "Ga3+", 0.3625526889], + ["Ga3+", "Zr3+", 0.3204601751], + ["Zr3+", "Ga3+", 0.3204601751], + ["Ga3+", "Nb5+", 0.369974091], + ["Nb5+", "Ga3+", 0.369974091], + ["Ga3+", "Nb3+", 0.4645955141], + ["Nb3+", "Ga3+", 0.4645955141], + ["Ga3+", "Nb4+", 0.4288423031], + ["Nb4+", "Ga3+", 0.4288423031], + ["Ga3+", "Nb2+", 0.4019248029], + ["Nb2+", "Ga3+", 0.4019248029], + ["Ga3+", "Nb7+", 0.2090761746], + ["Nb7+", "Ga3+", 0.2090761746], + ["Ga3+", "Mo3+", 0.4712696603], + ["Mo3+", "Ga3+", 0.4712696603], + ["Ga3+", "Mo4+", 0.4141347271], + ["Mo4+", "Ga3+", 0.4141347271], + ["Ga3+", "Mo6+", 0.5021000107], + ["Mo6+", "Ga3+", 0.5021000107], + ["Ga3+", "Mo5+", 0.237968703], + ["Mo5+", "Ga3+", 0.237968703], + ["Ga3+", "Mo2+", 0.3878933402], + ["Mo2+", "Ga3+", 0.3878933402], + ["Ga3+", "Tc4+", 0.1013010335], + ["Tc4+", "Ga3+", 0.1013010335], + ["Ga3+", "Tc3-", 0.0632319457], + ["Tc3-", "Ga3+", 0.0632319457], + ["Ga3+", "Tc3+", 0.4436608977], + ["Tc3+", "Ga3+", 0.4436608977], + ["Ga3+", "Tc7+", 0.2051706885], + ["Tc7+", "Ga3+", 0.2051706885], + ["Ga3+", "Tc5+", 0.3790227999], + ["Tc5+", "Ga3+", 0.3790227999], + ["Ga3+", "Tc6+", 0.100845375], + ["Tc6+", "Ga3+", 0.100845375], + ["Ga3+", "Tc2-", -0.0134368821], + ["Tc2-", "Ga3+", -0.0134368821], + ["Ga3+", "Tc2+", 0.1860425631], + ["Tc2+", "Ga3+", 0.1860425631], + ["Ga3+", "Ru2+", 0.229830308], + ["Ru2+", "Ga3+", 0.229830308], + ["Ga3+", "Ru6+", 0.2626131761], + ["Ru6+", "Ga3+", 0.2626131761], + ["Ga3+", "Ru4+", 0.4211701607], + ["Ru4+", "Ga3+", 0.4211701607], + ["Ga3+", "Ru5+", 0.4927453222], + ["Ru5+", "Ga3+", 0.4927453222], + ["Ga3+", "Ru3+", 0.313695726], + ["Ru3+", "Ga3+", 0.313695726], + ["Ga3+", "Rh4+", 0.3744741685], + ["Rh4+", "Ga3+", 0.3744741685], + ["Ga3+", "Rh3+", 0.3631644549], + ["Rh3+", "Ga3+", 0.3631644549], + ["Ga3+", "Pd2+", 0.3197075296], + ["Pd2+", "Ga3+", 0.3197075296], + ["Ga3+", "Pd4+", 0.2063185076], + ["Pd4+", "Ga3+", 0.2063185076], + ["Ga3+", "Pd3+", 0.1993764188], + ["Pd3+", "Ga3+", 0.1993764188], + ["Ga3+", "Ag3+", 0.1648876627], + ["Ag3+", "Ga3+", 0.1648876627], + ["Ga3+", "Ag2+", 0.2739969494], + ["Ag2+", "Ga3+", 0.2739969494], + ["Ga3+", "Cd2+", 0.6681130954], + ["Cd2+", "Ga3+", 0.6681130954], + ["Ga3+", "In3+", 0.7515908589], + ["In3+", "Ga3+", 0.7515908589], + ["Ga3+", "In2+", 0.5035173384], + ["In2+", "Ga3+", 0.5035173384], + ["Ga3+", "Sn4+", 0.6378311482], + ["Sn4+", "Ga3+", 0.6378311482], + ["Ga3+", "Sn3+", 0.382225418], + ["Sn3+", "Ga3+", 0.382225418], + ["Ga3+", "Sn2+", 0.5335162279], + ["Sn2+", "Ga3+", 0.5335162279], + ["Ga3+", "Sb5+", 0.3650346729], + ["Sb5+", "Ga3+", 0.3650346729], + ["Ga3+", "Sb2-", -0.1200432798], + ["Sb2-", "Ga3+", -0.1200432798], + ["Ga3+", "Sb3-", -0.0028814981], + ["Sb3-", "Ga3+", -0.0028814981], + ["Ga3+", "Sb3+", 0.5600015267], + ["Sb3+", "Ga3+", 0.5600015267], + ["Ga3+", "Sb4+", 0.198454298], + ["Sb4+", "Ga3+", 0.198454298], + ["Ga3+", "Te2-", 0.1387830992], + ["Te2-", "Ga3+", 0.1387830992], + ["Ga3+", "Te4+", 0.4195418447], + ["Te4+", "Ga3+", 0.4195418447], + ["Ga3+", "Te6+", 0.2212476579], + ["Te6+", "Ga3+", 0.2212476579], + ["Ga3+", "Te2+", 0.2301432807], + ["Te2+", "Ga3+", 0.2301432807], + ["Ga3+", "Te5+", 0.4028603331], + ["Te5+", "Ga3+", 0.4028603331], + ["Ga3+", "I3+", 0.1225551491], + ["I3+", "Ga3+", 0.1225551491], + ["Ga3+", "I7+", 0.1703460873], + ["I7+", "Ga3+", 0.1703460873], + ["Ga3+", "I5+", 0.1662199599], + ["I5+", "Ga3+", 0.1662199599], + ["Ga3+", "I2+", 0.1445898397], + ["I2+", "Ga3+", 0.1445898397], + ["Ga3+", "Ba2+", 0.7175295801], + ["Ba2+", "Ga3+", 0.7175295801], + ["Ga3+", "La3+", 0.5534063797], + ["La3+", "Ga3+", 0.5534063797], + ["Ga3+", "La2+", 0.2422748562], + ["La2+", "Ga3+", 0.2422748562], + ["Ga3+", "Ce3+", 0.5202424228], + ["Ce3+", "Ga3+", 0.5202424228], + ["Ga3+", "Ce2+", 0.3177996951], + ["Ce2+", "Ga3+", 0.3177996951], + ["Ga3+", "Ce4+", 0.3627287005], + ["Ce4+", "Ga3+", 0.3627287005], + ["Ga3+", "Pr3+", 0.4988539857], + ["Pr3+", "Ga3+", 0.4988539857], + ["Ga3+", "Pr4+", 0.2482685231], + ["Pr4+", "Ga3+", 0.2482685231], + ["Ga3+", "Pr2+", 0.2752012155], + ["Pr2+", "Ga3+", 0.2752012155], + ["Ga3+", "Nd3+", 0.5386319946], + ["Nd3+", "Ga3+", 0.5386319946], + ["Ga3+", "Nd2+", 0.0960882484], + ["Nd2+", "Ga3+", 0.0960882484], + ["Ga3+", "Pm3+", 0.4325501185], + ["Pm3+", "Ga3+", 0.4325501185], + ["Ga3+", "Sm3+", 0.5525500494], + ["Sm3+", "Ga3+", 0.5525500494], + ["Ga3+", "Sm2+", 0.148104151], + ["Sm2+", "Ga3+", 0.148104151], + ["Ga3+", "Eu2+", 0.5106840955], + ["Eu2+", "Ga3+", 0.5106840955], + ["Ga3+", "Eu3+", 0.3497097645], + ["Eu3+", "Ga3+", 0.3497097645], + ["Ga3+", "Gd2+", 0.190583623], + ["Gd2+", "Ga3+", 0.190583623], + ["Ga3+", "Gd3+", 0.433094431], + ["Gd3+", "Ga3+", 0.433094431], + ["Ga3+", "Tb3+", 0.4725935528], + ["Tb3+", "Ga3+", 0.4725935528], + ["Ga3+", "Tb2+", 0.1316924141], + ["Tb2+", "Ga3+", 0.1316924141], + ["Ga3+", "Tb4+", 0.1565299975], + ["Tb4+", "Ga3+", 0.1565299975], + ["Ga3+", "Dy3+", 0.3687205672], + ["Dy3+", "Ga3+", 0.3687205672], + ["Ga3+", "Dy2+", 0.0617014722], + ["Dy2+", "Ga3+", 0.0617014722], + ["Ga3+", "Ho3+", 0.4211427162], + ["Ho3+", "Ga3+", 0.4211427162], + ["Ga3+", "Ho2+", 0.2093792693], + ["Ho2+", "Ga3+", 0.2093792693], + ["Ga3+", "Er3+", 0.3639833314], + ["Er3+", "Ga3+", 0.3639833314], + ["Ga3+", "Tm3+", 0.3659580266], + ["Tm3+", "Ga3+", 0.3659580266], + ["Ga3+", "Tm2+", 0.2090838823], + ["Tm2+", "Ga3+", 0.2090838823], + ["Ga3+", "Yb3+", 0.3201290455], + ["Yb3+", "Ga3+", 0.3201290455], + ["Ga3+", "Yb2+", 0.3320110024], + ["Yb2+", "Ga3+", 0.3320110024], + ["Ga3+", "Lu3+", 0.2150232672], + ["Lu3+", "Ga3+", 0.2150232672], + ["Ga3+", "Hf3+", 0.5212787788], + ["Hf3+", "Ga3+", 0.5212787788], + ["Ga3+", "Hf2+", 0.1260313008], + ["Hf2+", "Ga3+", 0.1260313008], + ["Ga3+", "Hf4+", 0.3916525916], + ["Hf4+", "Ga3+", 0.3916525916], + ["Ga3+", "Ta5+", 0.4860447541], + ["Ta5+", "Ga3+", 0.4860447541], + ["Ga3+", "Ta3+", 0.3440798975], + ["Ta3+", "Ga3+", 0.3440798975], + ["Ga3+", "Ta4+", 0.4501068866], + ["Ta4+", "Ga3+", 0.4501068866], + ["Ga3+", "Ta2+", 0.2479914126], + ["Ta2+", "Ga3+", 0.2479914126], + ["Ga3+", "W6+", 0.3658984623], + ["W6+", "Ga3+", 0.3658984623], + ["Ga3+", "W4+", 0.4371680825], + ["W4+", "Ga3+", 0.4371680825], + ["Ga3+", "W2+", 0.4155090914], + ["W2+", "Ga3+", 0.4155090914], + ["Ga3+", "W3+", 0.3953025641], + ["W3+", "Ga3+", 0.3953025641], + ["Ga3+", "W5+", 0.4257010039], + ["W5+", "Ga3+", 0.4257010039], + ["Ga3+", "Re5+", 0.4429130381], + ["Re5+", "Ga3+", 0.4429130381], + ["Ga3+", "Re3+", 0.3654396903], + ["Re3+", "Ga3+", 0.3654396903], + ["Ga3+", "Re6+", 0.2973499045], + ["Re6+", "Ga3+", 0.2973499045], + ["Ga3+", "Re2+", 0.109643657], + ["Re2+", "Ga3+", 0.109643657], + ["Ga3+", "Re4+", 0.4349007001], + ["Re4+", "Ga3+", 0.4349007001], + ["Ga3+", "Re7+", 0.390319842], + ["Re7+", "Ga3+", 0.390319842], + ["Ga3+", "Os7+", 0.1555620707], + ["Os7+", "Ga3+", 0.1555620707], + ["Ga3+", "Os6+", 0.1431721403], + ["Os6+", "Ga3+", 0.1431721403], + ["Ga3+", "Os5+", 0.5017137357], + ["Os5+", "Ga3+", 0.5017137357], + ["Ga3+", "Os2-", 0.0185285705], + ["Os2-", "Ga3+", 0.0185285705], + ["Ga3+", "Os3+", 0.3210168717], + ["Os3+", "Ga3+", 0.3210168717], + ["Ga3+", "Os4+", 0.3974657929], + ["Os4+", "Ga3+", 0.3974657929], + ["Ga3+", "Os8+", 0.1635570442], + ["Os8+", "Ga3+", 0.1635570442], + ["Ga3+", "Os2+", 0.1809816729], + ["Os2+", "Ga3+", 0.1809816729], + ["Ga3+", "Ir3+", 0.2659218056], + ["Ir3+", "Ga3+", 0.2659218056], + ["Ga3+", "Ir4+", 0.4467468647], + ["Ir4+", "Ga3+", 0.4467468647], + ["Ga3+", "Ir5+", 0.5322886812], + ["Ir5+", "Ga3+", 0.5322886812], + ["Ga3+", "Ir6+", 0.2400843851], + ["Ir6+", "Ga3+", 0.2400843851], + ["Ga3+", "Pt2+", 0.2777161807], + ["Pt2+", "Ga3+", 0.2777161807], + ["Ga3+", "Pt2-", 0.0324072785], + ["Pt2-", "Ga3+", 0.0324072785], + ["Ga3+", "Pt4+", 0.4408331368], + ["Pt4+", "Ga3+", 0.4408331368], + ["Ga3+", "Pt3+", 0.2226138372], + ["Pt3+", "Ga3+", 0.2226138372], + ["Ga3+", "Pt5+", 0.3558832712], + ["Pt5+", "Ga3+", 0.3558832712], + ["Ga3+", "Pt6+", 0.1516544293], + ["Pt6+", "Ga3+", 0.1516544293], + ["Ga3+", "Au2+", 0.1849647951], + ["Au2+", "Ga3+", 0.1849647951], + ["Ga3+", "Au3+", 0.3956991618], + ["Au3+", "Ga3+", 0.3956991618], + ["Ga3+", "Au5+", 0.2240684691], + ["Au5+", "Ga3+", 0.2240684691], + ["Ga3+", "Au4+", 0.1278374098], + ["Au4+", "Ga3+", 0.1278374098], + ["Ga3+", "Hg2+", 0.4378154924], + ["Hg2+", "Ga3+", 0.4378154924], + ["Ga3+", "Tl3+", 0.3405262961], + ["Tl3+", "Ga3+", 0.3405262961], + ["Ga3+", "Tl2+", 0.4926778672], + ["Tl2+", "Ga3+", 0.4926778672], + ["Ga3+", "Pb2+", 0.5638428532], + ["Pb2+", "Ga3+", 0.5638428532], + ["Ga3+", "Pb3+", 0.2470285337], + ["Pb3+", "Ga3+", 0.2470285337], + ["Ga3+", "Pb4+", 0.2842173577], + ["Pb4+", "Ga3+", 0.2842173577], + ["Ga3+", "Bi3+", 0.6555340944], + ["Bi3+", "Ga3+", 0.6555340944], + ["Ga3+", "Bi5+", 0.281933659], + ["Bi5+", "Ga3+", 0.281933659], + ["Ga3+", "Bi2+", 0.3001372533], + ["Bi2+", "Ga3+", 0.3001372533], + ["Ga3+", "Bi3-", 0.0641122959], + ["Bi3-", "Ga3+", 0.0641122959], + ["Ga3+", "Bi4+", 0.1634549778], + ["Bi4+", "Ga3+", 0.1634549778], + ["Ga3+", "Ac3+", 0.367641041], + ["Ac3+", "Ga3+", 0.367641041], + ["Ga3+", "Th4+", 0.2885851269], + ["Th4+", "Ga3+", 0.2885851269], + ["Ga3+", "Th3+", 0.375232285], + ["Th3+", "Ga3+", 0.375232285], + ["Ga3+", "Pa4+", 0.3659434043], + ["Pa4+", "Ga3+", 0.3659434043], + ["Ga3+", "Pa5+", 0.2850361747], + ["Pa5+", "Ga3+", 0.2850361747], + ["Ga3+", "Pa3+", 0.303485039], + ["Pa3+", "Ga3+", 0.303485039], + ["Ga3+", "U6+", 0.2892816957], + ["U6+", "Ga3+", 0.2892816957], + ["Ga3+", "U4+", 0.3475748555], + ["U4+", "Ga3+", 0.3475748555], + ["Ga3+", "U3+", 0.3005201932], + ["U3+", "Ga3+", 0.3005201932], + ["Ga3+", "U2+", 0.4288792691], + ["U2+", "Ga3+", 0.4288792691], + ["Ga3+", "U5+", 0.157403968], + ["U5+", "Ga3+", 0.157403968], + ["Ga3+", "Np6+", 0.2929966233], + ["Np6+", "Ga3+", 0.2929966233], + ["Ga3+", "Np4+", 0.1531188911], + ["Np4+", "Ga3+", 0.1531188911], + ["Ga3+", "Np3+", 0.4370895608], + ["Np3+", "Ga3+", 0.4370895608], + ["Ga3+", "Np7+", 0.3112926359], + ["Np7+", "Ga3+", 0.3112926359], + ["Ga3+", "Np5+", 0.5504762379], + ["Np5+", "Ga3+", 0.5504762379], + ["Ga3+", "Pu7+", 0.2575008622], + ["Pu7+", "Ga3+", 0.2575008622], + ["Ga3+", "Pu6+", 0.2099794013], + ["Pu6+", "Ga3+", 0.2099794013], + ["Ga3+", "Pu3+", 0.3658600113], + ["Pu3+", "Ga3+", 0.3658600113], + ["Ga3+", "Pu4+", 0.1695766403], + ["Pu4+", "Ga3+", 0.1695766403], + ["Ga3+", "Pu5+", 0.380207872], + ["Pu5+", "Ga3+", 0.380207872], + ["Ga3+", "H1+", 0.0860062656], + ["H1+", "Ga3+", 0.0860062656], + ["Ga3+", "H1-", 0.0942089418], + ["H1-", "Ga3+", 0.0942089418], + ["Ga3+", "Li1+", 0.4812281079], + ["Li1+", "Ga3+", 0.4812281079], + ["Ga3+", "B1+", 0.1229973945], + ["B1+", "Ga3+", 0.1229973945], + ["Ga3+", "B1-", -0.2963013491], + ["B1-", "Ga3+", -0.2963013491], + ["Ga3+", "C1-", 0.1884948174], + ["C1-", "Ga3+", 0.1884948174], + ["Ga3+", "C1+", 0.261784255], + ["C1+", "Ga3+", 0.261784255], + ["Ga3+", "N1-", 0.1121600081], + ["N1-", "Ga3+", 0.1121600081], + ["Ga3+", "N1+", 0.1158484476], + ["N1+", "Ga3+", 0.1158484476], + ["Ga3+", "O1-", 0.0461343411], + ["O1-", "Ga3+", 0.0461343411], + ["Ga3+", "F1-", 0.0008531568], + ["F1-", "Ga3+", 0.0008531568], + ["Ga3+", "Na1+", 0.6189991675], + ["Na1+", "Ga3+", 0.6189991675], + ["Ga3+", "Si1-", 0.0233574941], + ["Si1-", "Ga3+", 0.0233574941], + ["Ga3+", "P1+", 0.1689944797], + ["P1+", "Ga3+", 0.1689944797], + ["Ga3+", "P1-", -0.1246408572], + ["P1-", "Ga3+", -0.1246408572], + ["Ga3+", "S1-", 0.0641480829], + ["S1-", "Ga3+", 0.0641480829], + ["Ga3+", "S1+", 0.1999940328], + ["S1+", "Ga3+", 0.1999940328], + ["Ga3+", "Cl1-", 0.095285327], + ["Cl1-", "Ga3+", 0.095285327], + ["Ga3+", "K1+", 0.6592883998], + ["K1+", "Ga3+", 0.6592883998], + ["Ga3+", "Sc1+", 0.185680816], + ["Sc1+", "Ga3+", 0.185680816], + ["Ga3+", "Mn1+", 0.2606867793], + ["Mn1+", "Ga3+", 0.2606867793], + ["Ga3+", "Fe1+", 0.2264305293], + ["Fe1+", "Ga3+", 0.2264305293], + ["Ga3+", "Co1+", 0.2557454408], + ["Co1+", "Ga3+", 0.2557454408], + ["Ga3+", "Ni1+", 0.348413426], + ["Ni1+", "Ga3+", 0.348413426], + ["Ga3+", "Cu1+", 0.5618401611], + ["Cu1+", "Ga3+", 0.5618401611], + ["Ga3+", "Ga1+", 0.3110158737], + ["Ga1+", "Ga3+", 0.3110158737], + ["Ga3+", "As1-", -0.0109581131], + ["As1-", "Ga3+", -0.0109581131], + ["Ga3+", "As1+", 0.3321866994], + ["As1+", "Ga3+", 0.3321866994], + ["Ga3+", "Se1-", 0.1324886804], + ["Se1-", "Ga3+", 0.1324886804], + ["Ga3+", "Se1+", 0.2367947347], + ["Se1+", "Ga3+", 0.2367947347], + ["Ga3+", "Br1-", 0.0351051013], + ["Br1-", "Ga3+", 0.0351051013], + ["Ga3+", "Br1+", 0.1453753412], + ["Br1+", "Ga3+", 0.1453753412], + ["Ga3+", "Rb1+", 0.555422683], + ["Rb1+", "Ga3+", 0.555422683], + ["Ga3+", "Y1+", 0.1055011938], + ["Y1+", "Ga3+", 0.1055011938], + ["Ga3+", "Zr1+", 0.2687118107], + ["Zr1+", "Ga3+", 0.2687118107], + ["Ga3+", "Nb1+", 0.3854931441], + ["Nb1+", "Ga3+", 0.3854931441], + ["Ga3+", "Tc1-", 0.1491700555], + ["Tc1-", "Ga3+", 0.1491700555], + ["Ga3+", "Tc1+", 0.4450700218], + ["Tc1+", "Ga3+", 0.4450700218], + ["Ga3+", "Rh1+", 0.150911926], + ["Rh1+", "Ga3+", 0.150911926], + ["Ga3+", "Ag1+", 0.6060168163], + ["Ag1+", "Ga3+", 0.6060168163], + ["Ga3+", "In1+", 0.2803645444], + ["In1+", "Ga3+", 0.2803645444], + ["Ga3+", "Sb1-", -0.0254274329], + ["Sb1-", "Ga3+", -0.0254274329], + ["Ga3+", "Sb1+", 0.2358032548], + ["Sb1+", "Ga3+", 0.2358032548], + ["Ga3+", "Te1-", 0.025231129], + ["Te1-", "Ga3+", 0.025231129], + ["Ga3+", "Te1+", 0.2669605418], + ["Te1+", "Ga3+", 0.2669605418], + ["Ga3+", "I1-", 0.0070158], + ["I1-", "Ga3+", 0.0070158], + ["Ga3+", "I1+", 0.0891104672], + ["I1+", "Ga3+", 0.0891104672], + ["Ga3+", "Cs1+", 0.6067131714], + ["Cs1+", "Ga3+", 0.6067131714], + ["Ga3+", "La1+", 0.0043300571], + ["La1+", "Ga3+", 0.0043300571], + ["Ga3+", "Tb1+", 0.0497570496], + ["Tb1+", "Ga3+", 0.0497570496], + ["Ga3+", "Ta1+", 0.4068862602], + ["Ta1+", "Ga3+", 0.4068862602], + ["Ga3+", "Os1-", 0.1437044278], + ["Os1-", "Ga3+", 0.1437044278], + ["Ga3+", "Os1+", 0.0252232168], + ["Os1+", "Ga3+", 0.0252232168], + ["Ga3+", "Pt1-", 0.1598143231], + ["Pt1-", "Ga3+", 0.1598143231], + ["Ga3+", "Pt1+", 0.2259588618], + ["Pt1+", "Ga3+", 0.2259588618], + ["Ga3+", "Au1-", -0.1674987917], + ["Au1-", "Ga3+", -0.1674987917], + ["Ga3+", "Au1+", 0.3132242368], + ["Au1+", "Ga3+", 0.3132242368], + ["Ga3+", "Hg1+", 0.3015837566], + ["Hg1+", "Ga3+", 0.3015837566], + ["Ga3+", "Tl1+", 0.5869907001], + ["Tl1+", "Ga3+", 0.5869907001], + ["Ga3+", "Bi1+", 0.1976514154], + ["Bi1+", "Ga3+", 0.1976514154], + ["Ga4+", "Ga4+", 1.0], + ["Ga4+", "Ga2+", 0.0899515849], + ["Ga2+", "Ga4+", 0.0899515849], + ["Ga4+", "Ge4-", 0.1211007368], + ["Ge4-", "Ga4+", 0.1211007368], + ["Ga4+", "Ge4+", 0.2666699699], + ["Ge4+", "Ga4+", 0.2666699699], + ["Ga4+", "Ge2-", 0.136896561], + ["Ge2-", "Ga4+", 0.136896561], + ["Ga4+", "Ge2+", 0.1845691402], + ["Ge2+", "Ga4+", 0.1845691402], + ["Ga4+", "Ge3+", 0.0794863349], + ["Ge3+", "Ga4+", 0.0794863349], + ["Ga4+", "As2-", -0.0679875428], + ["As2-", "Ga4+", -0.0679875428], + ["Ga4+", "As3+", 0.1133345502], + ["As3+", "Ga4+", 0.1133345502], + ["Ga4+", "As5+", 0.215167228], + ["As5+", "Ga4+", 0.215167228], + ["Ga4+", "As3-", -0.0363262663], + ["As3-", "Ga4+", -0.0363262663], + ["Ga4+", "As2+", 0.2180996581], + ["As2+", "Ga4+", 0.2180996581], + ["Ga4+", "As4+", 0.197857748], + ["As4+", "Ga4+", 0.197857748], + ["Ga4+", "Se2-", 0.2617021851], + ["Se2-", "Ga4+", 0.2617021851], + ["Ga4+", "Se4+", 0.4569757485], + ["Se4+", "Ga4+", 0.4569757485], + ["Ga4+", "Se6+", 0.2950605124], + ["Se6+", "Ga4+", 0.2950605124], + ["Ga4+", "Se5+", 0.2927197105], + ["Se5+", "Ga4+", 0.2927197105], + ["Ga4+", "Se2+", 0.14822769], + ["Se2+", "Ga4+", 0.14822769], + ["Ga4+", "Se3+", 0.3347137463], + ["Se3+", "Ga4+", 0.3347137463], + ["Ga4+", "Br2+", 0.3734930361], + ["Br2+", "Ga4+", 0.3734930361], + ["Ga4+", "Br5+", 0.2626749435], + ["Br5+", "Ga4+", 0.2626749435], + ["Ga4+", "Br3+", 0.250693973], + ["Br3+", "Ga4+", 0.250693973], + ["Ga4+", "Sr2+", 0.2980034824], + ["Sr2+", "Ga4+", 0.2980034824], + ["Ga4+", "Y3+", 0.3359134423], + ["Y3+", "Ga4+", 0.3359134423], + ["Ga4+", "Y2+", 0.3324349487], + ["Y2+", "Ga4+", 0.3324349487], + ["Ga4+", "Zr2+", 0.0300001541], + ["Zr2+", "Ga4+", 0.0300001541], + ["Ga4+", "Zr4+", 0.2524007444], + ["Zr4+", "Ga4+", 0.2524007444], + ["Ga4+", "Zr3+", 0.1746955061], + ["Zr3+", "Ga4+", 0.1746955061], + ["Ga4+", "Nb5+", 0.2622685744], + ["Nb5+", "Ga4+", 0.2622685744], + ["Ga4+", "Nb3+", 0.1818700372], + ["Nb3+", "Ga4+", 0.1818700372], + ["Ga4+", "Nb4+", 0.0706290228], + ["Nb4+", "Ga4+", 0.0706290228], + ["Ga4+", "Nb2+", 0.077742081], + ["Nb2+", "Ga4+", 0.077742081], + ["Ga4+", "Nb7+", 0.2654669315], + ["Nb7+", "Ga4+", 0.2654669315], + ["Ga4+", "Mo3+", 0.1383985149], + ["Mo3+", "Ga4+", 0.1383985149], + ["Ga4+", "Mo4+", 0.2910029324], + ["Mo4+", "Ga4+", 0.2910029324], + ["Ga4+", "Mo6+", 0.3721579969], + ["Mo6+", "Ga4+", 0.3721579969], + ["Ga4+", "Mo5+", 0.2164606345], + ["Mo5+", "Ga4+", 0.2164606345], + ["Ga4+", "Mo2+", 0.0947772845], + ["Mo2+", "Ga4+", 0.0947772845], + ["Ga4+", "Tc4+", 0.0547503088], + ["Tc4+", "Ga4+", 0.0547503088], + ["Ga4+", "Tc3-", -0.0317243475], + ["Tc3-", "Ga4+", -0.0317243475], + ["Ga4+", "Tc3+", 0.0633921488], + ["Tc3+", "Ga4+", 0.0633921488], + ["Ga4+", "Tc7+", 0.0648476994], + ["Tc7+", "Ga4+", 0.0648476994], + ["Ga4+", "Tc5+", 0.2912772653], + ["Tc5+", "Ga4+", 0.2912772653], + ["Ga4+", "Tc6+", -0.0070502309], + ["Tc6+", "Ga4+", -0.0070502309], + ["Ga4+", "Tc2-", 0.060208736], + ["Tc2-", "Ga4+", 0.060208736], + ["Ga4+", "Tc2+", 0.1015841087], + ["Tc2+", "Ga4+", 0.1015841087], + ["Ga4+", "Ru2+", 0.0994345212], + ["Ru2+", "Ga4+", 0.0994345212], + ["Ga4+", "Ru6+", 0.1753218818], + ["Ru6+", "Ga4+", 0.1753218818], + ["Ga4+", "Ru4+", 0.3612242732], + ["Ru4+", "Ga4+", 0.3612242732], + ["Ga4+", "Ru5+", 0.2584436921], + ["Ru5+", "Ga4+", 0.2584436921], + ["Ga4+", "Ru3+", 0.1058419255], + ["Ru3+", "Ga4+", 0.1058419255], + ["Ga4+", "Rh4+", 0.3080909862], + ["Rh4+", "Ga4+", 0.3080909862], + ["Ga4+", "Rh3+", 0.2396328451], + ["Rh3+", "Ga4+", 0.2396328451], + ["Ga4+", "Pd2+", 0.1157073742], + ["Pd2+", "Ga4+", 0.1157073742], + ["Ga4+", "Pd4+", 0.0554322663], + ["Pd4+", "Ga4+", 0.0554322663], + ["Ga4+", "Pd3+", -0.0049440783], + ["Pd3+", "Ga4+", -0.0049440783], + ["Ga4+", "Ag3+", 0.3569667038], + ["Ag3+", "Ga4+", 0.3569667038], + ["Ga4+", "Ag2+", 0.1700887019], + ["Ag2+", "Ga4+", 0.1700887019], + ["Ga4+", "Cd2+", 0.1252183623], + ["Cd2+", "Ga4+", 0.1252183623], + ["Ga4+", "In3+", 0.2981422253], + ["In3+", "Ga4+", 0.2981422253], + ["Ga4+", "In2+", 0.0196017401], + ["In2+", "Ga4+", 0.0196017401], + ["Ga4+", "Sn4+", 0.2702497888], + ["Sn4+", "Ga4+", 0.2702497888], + ["Ga4+", "Sn3+", 0.2139627789], + ["Sn3+", "Ga4+", 0.2139627789], + ["Ga4+", "Sn2+", 0.1518242209], + ["Sn2+", "Ga4+", 0.1518242209], + ["Ga4+", "Sb5+", 0.353652322], + ["Sb5+", "Ga4+", 0.353652322], + ["Ga4+", "Sb2-", 0.1218981111], + ["Sb2-", "Ga4+", 0.1218981111], + ["Ga4+", "Sb3-", 0.0604401867], + ["Sb3-", "Ga4+", 0.0604401867], + ["Ga4+", "Sb3+", 0.1814517841], + ["Sb3+", "Ga4+", 0.1814517841], + ["Ga4+", "Sb4+", 0.2640792318], + ["Sb4+", "Ga4+", 0.2640792318], + ["Ga4+", "Te2-", 0.3154747837], + ["Te2-", "Ga4+", 0.3154747837], + ["Ga4+", "Te4+", 0.3402821798], + ["Te4+", "Ga4+", 0.3402821798], + ["Ga4+", "Te6+", 0.3018556955], + ["Te6+", "Ga4+", 0.3018556955], + ["Ga4+", "Te2+", -0.0801232474], + ["Te2+", "Ga4+", -0.0801232474], + ["Ga4+", "Te5+", 0.3126324056], + ["Te5+", "Ga4+", 0.3126324056], + ["Ga4+", "I3+", 0.2893932479], + ["I3+", "Ga4+", 0.2893932479], + ["Ga4+", "I7+", 0.2391001431], + ["I7+", "Ga4+", 0.2391001431], + ["Ga4+", "I5+", 0.3343362645], + ["I5+", "Ga4+", 0.3343362645], + ["Ga4+", "I2+", 0.2652084987], + ["I2+", "Ga4+", 0.2652084987], + ["Ga4+", "Ba2+", 0.2148379994], + ["Ba2+", "Ga4+", 0.2148379994], + ["Ga4+", "La3+", 0.2905880559], + ["La3+", "Ga4+", 0.2905880559], + ["Ga4+", "La2+", 0.0844944367], + ["La2+", "Ga4+", 0.0844944367], + ["Ga4+", "Ce3+", 0.1839920733], + ["Ce3+", "Ga4+", 0.1839920733], + ["Ga4+", "Ce2+", 0.0460261098], + ["Ce2+", "Ga4+", 0.0460261098], + ["Ga4+", "Ce4+", 0.3497694595], + ["Ce4+", "Ga4+", 0.3497694595], + ["Ga4+", "Pr3+", 0.1695589231], + ["Pr3+", "Ga4+", 0.1695589231], + ["Ga4+", "Pr4+", 0.265578247], + ["Pr4+", "Ga4+", 0.265578247], + ["Ga4+", "Pr2+", 0.0315286211], + ["Pr2+", "Ga4+", 0.0315286211], + ["Ga4+", "Nd3+", 0.2708592871], + ["Nd3+", "Ga4+", 0.2708592871], + ["Ga4+", "Nd2+", 0.111473556], + ["Nd2+", "Ga4+", 0.111473556], + ["Ga4+", "Pm3+", 0.2015025157], + ["Pm3+", "Ga4+", 0.2015025157], + ["Ga4+", "Sm3+", 0.2193919838], + ["Sm3+", "Ga4+", 0.2193919838], + ["Ga4+", "Sm2+", 0.0357949978], + ["Sm2+", "Ga4+", 0.0357949978], + ["Ga4+", "Eu2+", 0.1778922996], + ["Eu2+", "Ga4+", 0.1778922996], + ["Ga4+", "Eu3+", 0.3900544948], + ["Eu3+", "Ga4+", 0.3900544948], + ["Ga4+", "Gd2+", -0.0191305276], + ["Gd2+", "Ga4+", -0.0191305276], + ["Ga4+", "Gd3+", 0.2143513776], + ["Gd3+", "Ga4+", 0.2143513776], + ["Ga4+", "Tb3+", 0.2513420608], + ["Tb3+", "Ga4+", 0.2513420608], + ["Ga4+", "Tb2+", 0.0016022267], + ["Tb2+", "Ga4+", 0.0016022267], + ["Ga4+", "Tb4+", 0.2294002855], + ["Tb4+", "Ga4+", 0.2294002855], + ["Ga4+", "Dy3+", 0.2609849177], + ["Dy3+", "Ga4+", 0.2609849177], + ["Ga4+", "Dy2+", 0.0926389504], + ["Dy2+", "Ga4+", 0.0926389504], + ["Ga4+", "Ho3+", 0.2925748013], + ["Ho3+", "Ga4+", 0.2925748013], + ["Ga4+", "Ho2+", 0.0690712149], + ["Ho2+", "Ga4+", 0.0690712149], + ["Ga4+", "Er3+", 0.2433010307], + ["Er3+", "Ga4+", 0.2433010307], + ["Ga4+", "Tm3+", 0.2271981496], + ["Tm3+", "Ga4+", 0.2271981496], + ["Ga4+", "Tm2+", 0.0645837819], + ["Tm2+", "Ga4+", 0.0645837819], + ["Ga4+", "Yb3+", 0.2474919788], + ["Yb3+", "Ga4+", 0.2474919788], + ["Ga4+", "Yb2+", 0.0246285824], + ["Yb2+", "Ga4+", 0.0246285824], + ["Ga4+", "Lu3+", 0.2510011503], + ["Lu3+", "Ga4+", 0.2510011503], + ["Ga4+", "Hf3+", 0.1869039427], + ["Hf3+", "Ga4+", 0.1869039427], + ["Ga4+", "Hf2+", -0.0111527292], + ["Hf2+", "Ga4+", -0.0111527292], + ["Ga4+", "Hf4+", 0.3351166785], + ["Hf4+", "Ga4+", 0.3351166785], + ["Ga4+", "Ta5+", 0.3534436093], + ["Ta5+", "Ga4+", 0.3534436093], + ["Ga4+", "Ta3+", 0.0419007833], + ["Ta3+", "Ga4+", 0.0419007833], + ["Ga4+", "Ta4+", 0.2288933978], + ["Ta4+", "Ga4+", 0.2288933978], + ["Ga4+", "Ta2+", -0.0294888246], + ["Ta2+", "Ga4+", -0.0294888246], + ["Ga4+", "W6+", 0.3621098231], + ["W6+", "Ga4+", 0.3621098231], + ["Ga4+", "W4+", 0.375736337], + ["W4+", "Ga4+", 0.375736337], + ["Ga4+", "W2+", 0.153939089], + ["W2+", "Ga4+", 0.153939089], + ["Ga4+", "W3+", 0.1972486142], + ["W3+", "Ga4+", 0.1972486142], + ["Ga4+", "W5+", 0.2502706108], + ["W5+", "Ga4+", 0.2502706108], + ["Ga4+", "Re5+", 0.3692092402], + ["Re5+", "Ga4+", 0.3692092402], + ["Ga4+", "Re3+", 0.0634023561], + ["Re3+", "Ga4+", 0.0634023561], + ["Ga4+", "Re6+", 0.1735367105], + ["Re6+", "Ga4+", 0.1735367105], + ["Ga4+", "Re2+", 0.2000412091], + ["Re2+", "Ga4+", 0.2000412091], + ["Ga4+", "Re4+", 0.1544410359], + ["Re4+", "Ga4+", 0.1544410359], + ["Ga4+", "Re7+", 0.1820577437], + ["Re7+", "Ga4+", 0.1820577437], + ["Ga4+", "Os7+", 0.1687755439], + ["Os7+", "Ga4+", 0.1687755439], + ["Ga4+", "Os6+", 0.310900888], + ["Os6+", "Ga4+", 0.310900888], + ["Ga4+", "Os5+", 0.1844362278], + ["Os5+", "Ga4+", 0.1844362278], + ["Ga4+", "Os2-", -0.1867679251], + ["Os2-", "Ga4+", -0.1867679251], + ["Ga4+", "Os3+", 0.1621986797], + ["Os3+", "Ga4+", 0.1621986797], + ["Ga4+", "Os4+", 0.2301273663], + ["Os4+", "Ga4+", 0.2301273663], + ["Ga4+", "Os8+", 0.1243310897], + ["Os8+", "Ga4+", 0.1243310897], + ["Ga4+", "Os2+", 0.2845855638], + ["Os2+", "Ga4+", 0.2845855638], + ["Ga4+", "Ir3+", 0.0692353277], + ["Ir3+", "Ga4+", 0.0692353277], + ["Ga4+", "Ir4+", 0.1606015456], + ["Ir4+", "Ga4+", 0.1606015456], + ["Ga4+", "Ir5+", 0.2338762834], + ["Ir5+", "Ga4+", 0.2338762834], + ["Ga4+", "Ir6+", 0.2755783394], + ["Ir6+", "Ga4+", 0.2755783394], + ["Ga4+", "Pt2+", 0.1025221947], + ["Pt2+", "Ga4+", 0.1025221947], + ["Ga4+", "Pt2-", -0.0377522147], + ["Pt2-", "Ga4+", -0.0377522147], + ["Ga4+", "Pt4+", 0.1498892522], + ["Pt4+", "Ga4+", 0.1498892522], + ["Ga4+", "Pt3+", 0.1344309659], + ["Pt3+", "Ga4+", 0.1344309659], + ["Ga4+", "Pt5+", -0.0192879693], + ["Pt5+", "Ga4+", -0.0192879693], + ["Ga4+", "Pt6+", 0.1005643389], + ["Pt6+", "Ga4+", 0.1005643389], + ["Ga4+", "Au2+", 0.1811113055], + ["Au2+", "Ga4+", 0.1811113055], + ["Ga4+", "Au3+", 0.0037662312], + ["Au3+", "Ga4+", 0.0037662312], + ["Ga4+", "Au5+", 0.045459467], + ["Au5+", "Ga4+", 0.045459467], + ["Ga4+", "Au4+", -0.012021439], + ["Au4+", "Ga4+", -0.012021439], + ["Ga4+", "Hg2+", 0.0802784693], + ["Hg2+", "Ga4+", 0.0802784693], + ["Ga4+", "Tl3+", 0.1308829874], + ["Tl3+", "Ga4+", 0.1308829874], + ["Ga4+", "Tl2+", 0.2594412663], + ["Tl2+", "Ga4+", 0.2594412663], + ["Ga4+", "Pb2+", 0.3617674855], + ["Pb2+", "Ga4+", 0.3617674855], + ["Ga4+", "Pb3+", 0.2307685226], + ["Pb3+", "Ga4+", 0.2307685226], + ["Ga4+", "Pb4+", 0.2677948909], + ["Pb4+", "Ga4+", 0.2677948909], + ["Ga4+", "Bi3+", 0.3676636485], + ["Bi3+", "Ga4+", 0.3676636485], + ["Ga4+", "Bi5+", 0.2583643072], + ["Bi5+", "Ga4+", 0.2583643072], + ["Ga4+", "Bi2+", 0.2394006109], + ["Bi2+", "Ga4+", 0.2394006109], + ["Ga4+", "Bi3-", 0.1284179577], + ["Bi3-", "Ga4+", 0.1284179577], + ["Ga4+", "Bi4+", 0.1743927753], + ["Bi4+", "Ga4+", 0.1743927753], + ["Ga4+", "Ac3+", 0.0772668154], + ["Ac3+", "Ga4+", 0.0772668154], + ["Ga4+", "Th4+", 0.066823627], + ["Th4+", "Ga4+", 0.066823627], + ["Ga4+", "Th3+", -0.0069104712], + ["Th3+", "Ga4+", -0.0069104712], + ["Ga4+", "Pa4+", -0.0314645896], + ["Pa4+", "Ga4+", -0.0314645896], + ["Ga4+", "Pa5+", 0.234998135], + ["Pa5+", "Ga4+", 0.234998135], + ["Ga4+", "Pa3+", -0.0498683839], + ["Pa3+", "Ga4+", -0.0498683839], + ["Ga4+", "U6+", 0.3349882744], + ["U6+", "Ga4+", 0.3349882744], + ["Ga4+", "U4+", 0.0057270851], + ["U4+", "Ga4+", 0.0057270851], + ["Ga4+", "U3+", -0.0623467422], + ["U3+", "Ga4+", -0.0623467422], + ["Ga4+", "U2+", 0.0363406188], + ["U2+", "Ga4+", 0.0363406188], + ["Ga4+", "U5+", 0.1931976702], + ["U5+", "Ga4+", 0.1931976702], + ["Ga4+", "Np6+", 0.1770024834], + ["Np6+", "Ga4+", 0.1770024834], + ["Ga4+", "Np4+", -0.1049536982], + ["Np4+", "Ga4+", -0.1049536982], + ["Ga4+", "Np3+", 0.1116816516], + ["Np3+", "Ga4+", 0.1116816516], + ["Ga4+", "Np7+", 0.2961465263], + ["Np7+", "Ga4+", 0.2961465263], + ["Ga4+", "Np5+", 0.1928728578], + ["Np5+", "Ga4+", 0.1928728578], + ["Ga4+", "Pu7+", 0.3811894465], + ["Pu7+", "Ga4+", 0.3811894465], + ["Ga4+", "Pu6+", 0.1987266787], + ["Pu6+", "Ga4+", 0.1987266787], + ["Ga4+", "Pu3+", 0.209963277], + ["Pu3+", "Ga4+", 0.209963277], + ["Ga4+", "Pu4+", 0.2339681182], + ["Pu4+", "Ga4+", 0.2339681182], + ["Ga4+", "Pu5+", 0.2872866433], + ["Pu5+", "Ga4+", 0.2872866433], + ["Ga4+", "H1+", 0.3161104175], + ["H1+", "Ga4+", 0.3161104175], + ["Ga4+", "H1-", 0.1630197007], + ["H1-", "Ga4+", 0.1630197007], + ["Ga4+", "Li1+", 0.1694276069], + ["Li1+", "Ga4+", 0.1694276069], + ["Ga4+", "B1+", 0.0967593196], + ["B1+", "Ga4+", 0.0967593196], + ["Ga4+", "B1-", 0.1115631265], + ["B1-", "Ga4+", 0.1115631265], + ["Ga4+", "C1-", 0.1864085744], + ["C1-", "Ga4+", 0.1864085744], + ["Ga4+", "C1+", 0.2137217584], + ["C1+", "Ga4+", 0.2137217584], + ["Ga4+", "N1-", 0.2144321175], + ["N1-", "Ga4+", 0.2144321175], + ["Ga4+", "N1+", 0.092177023], + ["N1+", "Ga4+", 0.092177023], + ["Ga4+", "O1-", 0.3025236627], + ["O1-", "Ga4+", 0.3025236627], + ["Ga4+", "F1-", 0.2224325226], + ["F1-", "Ga4+", 0.2224325226], + ["Ga4+", "Na1+", 0.404718384], + ["Na1+", "Ga4+", 0.404718384], + ["Ga4+", "Si1-", 0.132961502], + ["Si1-", "Ga4+", 0.132961502], + ["Ga4+", "P1+", 0.1186788543], + ["P1+", "Ga4+", 0.1186788543], + ["Ga4+", "P1-", 0.0576405239], + ["P1-", "Ga4+", 0.0576405239], + ["Ga4+", "S1-", 0.0441332512], + ["S1-", "Ga4+", 0.0441332512], + ["Ga4+", "S1+", 0.2240999462], + ["S1+", "Ga4+", 0.2240999462], + ["Ga4+", "Cl1-", 0.2223757425], + ["Cl1-", "Ga4+", 0.2223757425], + ["Ga4+", "K1+", 0.2572289403], + ["K1+", "Ga4+", 0.2572289403], + ["Ga4+", "Sc1+", 0.074325455], + ["Sc1+", "Ga4+", 0.074325455], + ["Ga4+", "Mn1+", 0.2402830565], + ["Mn1+", "Ga4+", 0.2402830565], + ["Ga4+", "Fe1+", -0.0562807258], + ["Fe1+", "Ga4+", -0.0562807258], + ["Ga4+", "Co1+", 0.0250394457], + ["Co1+", "Ga4+", 0.0250394457], + ["Ga4+", "Ni1+", -0.0602710161], + ["Ni1+", "Ga4+", -0.0602710161], + ["Ga4+", "Cu1+", 0.1653011861], + ["Cu1+", "Ga4+", 0.1653011861], + ["Ga4+", "Ga1+", 0.0796520695], + ["Ga1+", "Ga4+", 0.0796520695], + ["Ga4+", "As1-", -0.0229074939], + ["As1-", "Ga4+", -0.0229074939], + ["Ga4+", "As1+", 0.1698888054], + ["As1+", "Ga4+", 0.1698888054], + ["Ga4+", "Se1-", 0.0927636784], + ["Se1-", "Ga4+", 0.0927636784], + ["Ga4+", "Se1+", 0.3247581753], + ["Se1+", "Ga4+", 0.3247581753], + ["Ga4+", "Br1-", 0.2306179966], + ["Br1-", "Ga4+", 0.2306179966], + ["Ga4+", "Br1+", 0.2432235739], + ["Br1+", "Ga4+", 0.2432235739], + ["Ga4+", "Rb1+", 0.2500613585], + ["Rb1+", "Ga4+", 0.2500613585], + ["Ga4+", "Y1+", 0.0087732129], + ["Y1+", "Ga4+", 0.0087732129], + ["Ga4+", "Zr1+", -0.0406908158], + ["Zr1+", "Ga4+", -0.0406908158], + ["Ga4+", "Nb1+", -0.0326768527], + ["Nb1+", "Ga4+", -0.0326768527], + ["Ga4+", "Tc1-", 0.0432715011], + ["Tc1-", "Ga4+", 0.0432715011], + ["Ga4+", "Tc1+", -0.0249468436], + ["Tc1+", "Ga4+", -0.0249468436], + ["Ga4+", "Rh1+", -0.0085451267], + ["Rh1+", "Ga4+", -0.0085451267], + ["Ga4+", "Ag1+", 0.2828782245], + ["Ag1+", "Ga4+", 0.2828782245], + ["Ga4+", "In1+", 0.0600565732], + ["In1+", "Ga4+", 0.0600565732], + ["Ga4+", "Sb1-", 0.1041659859], + ["Sb1-", "Ga4+", 0.1041659859], + ["Ga4+", "Sb1+", 0.0761348838], + ["Sb1+", "Ga4+", 0.0761348838], + ["Ga4+", "Te1-", 0.2045843883], + ["Te1-", "Ga4+", 0.2045843883], + ["Ga4+", "Te1+", 0.0693095624], + ["Te1+", "Ga4+", 0.0693095624], + ["Ga4+", "I1-", 0.1632108909], + ["I1-", "Ga4+", 0.1632108909], + ["Ga4+", "I1+", 0.1790090907], + ["I1+", "Ga4+", 0.1790090907], + ["Ga4+", "Cs1+", 0.2256227533], + ["Cs1+", "Ga4+", 0.2256227533], + ["Ga4+", "La1+", 0.07271763], + ["La1+", "Ga4+", 0.07271763], + ["Ga4+", "Tb1+", -0.058270537], + ["Tb1+", "Ga4+", -0.058270537], + ["Ga4+", "Ta1+", 0.0457150481], + ["Ta1+", "Ga4+", 0.0457150481], + ["Ga4+", "Os1-", 0.0592880975], + ["Os1-", "Ga4+", 0.0592880975], + ["Ga4+", "Os1+", 0.0415387134], + ["Os1+", "Ga4+", 0.0415387134], + ["Ga4+", "Pt1-", 0.1041220976], + ["Pt1-", "Ga4+", 0.1041220976], + ["Ga4+", "Pt1+", 0.1747906135], + ["Pt1+", "Ga4+", 0.1747906135], + ["Ga4+", "Au1-", -0.0954406811], + ["Au1-", "Ga4+", -0.0954406811], + ["Ga4+", "Au1+", 0.0457187082], + ["Au1+", "Ga4+", 0.0457187082], + ["Ga4+", "Hg1+", 0.2629484654], + ["Hg1+", "Ga4+", 0.2629484654], + ["Ga4+", "Tl1+", 0.2865092885], + ["Tl1+", "Ga4+", 0.2865092885], + ["Ga4+", "Bi1+", 0.1680679878], + ["Bi1+", "Ga4+", 0.1680679878], + ["Ga2+", "Ga2+", 1.0], + ["Ga2+", "Ge4-", 0.0543731085], + ["Ge4-", "Ga2+", 0.0543731085], + ["Ga2+", "Ge4+", 0.3752429636], + ["Ge4+", "Ga2+", 0.3752429636], + ["Ga2+", "Ge2-", 0.0975086183], + ["Ge2-", "Ga2+", 0.0975086183], + ["Ga2+", "Ge2+", 0.3891184864], + ["Ge2+", "Ga2+", 0.3891184864], + ["Ga2+", "Ge3+", 0.273085574], + ["Ge3+", "Ga2+", 0.273085574], + ["Ga2+", "As2-", 0.1626803719], + ["As2-", "Ga2+", 0.1626803719], + ["Ga2+", "As3+", 0.2346013816], + ["As3+", "Ga2+", 0.2346013816], + ["Ga2+", "As5+", -0.2192397911], + ["As5+", "Ga2+", -0.2192397911], + ["Ga2+", "As3-", 0.229879271], + ["As3-", "Ga2+", 0.229879271], + ["Ga2+", "As2+", 0.1178543631], + ["As2+", "Ga2+", 0.1178543631], + ["Ga2+", "As4+", -0.063126918], + ["As4+", "Ga2+", -0.063126918], + ["Ga2+", "Se2-", 0.0548023921], + ["Se2-", "Ga2+", 0.0548023921], + ["Ga2+", "Se4+", 0.1126573014], + ["Se4+", "Ga2+", 0.1126573014], + ["Ga2+", "Se6+", -0.0409814661], + ["Se6+", "Ga2+", -0.0409814661], + ["Ga2+", "Se5+", -0.0110049274], + ["Se5+", "Ga2+", -0.0110049274], + ["Ga2+", "Se2+", 0.3426008646], + ["Se2+", "Ga2+", 0.3426008646], + ["Ga2+", "Se3+", 0.1749394619], + ["Se3+", "Ga2+", 0.1749394619], + ["Ga2+", "Br2+", 0.1852700804], + ["Br2+", "Ga2+", 0.1852700804], + ["Ga2+", "Br5+", -0.0826881755], + ["Br5+", "Ga2+", -0.0826881755], + ["Ga2+", "Br3+", -0.1992216368], + ["Br3+", "Ga2+", -0.1992216368], + ["Ga2+", "Sr2+", 0.3579930972], + ["Sr2+", "Ga2+", 0.3579930972], + ["Ga2+", "Y3+", 0.3305754458], + ["Y3+", "Ga2+", 0.3305754458], + ["Ga2+", "Y2+", 0.0207687404], + ["Y2+", "Ga2+", 0.0207687404], + ["Ga2+", "Zr2+", 0.4815497424], + ["Zr2+", "Ga2+", 0.4815497424], + ["Ga2+", "Zr4+", 0.0419256496], + ["Zr4+", "Ga2+", 0.0419256496], + ["Ga2+", "Zr3+", 0.3900265498], + ["Zr3+", "Ga2+", 0.3900265498], + ["Ga2+", "Nb5+", 0.1544937189], + ["Nb5+", "Ga2+", 0.1544937189], + ["Ga2+", "Nb3+", 0.3963581198], + ["Nb3+", "Ga2+", 0.3963581198], + ["Ga2+", "Nb4+", 0.2237902249], + ["Nb4+", "Ga2+", 0.2237902249], + ["Ga2+", "Nb2+", 0.5654970244], + ["Nb2+", "Ga2+", 0.5654970244], + ["Ga2+", "Nb7+", 0.0892156256], + ["Nb7+", "Ga2+", 0.0892156256], + ["Ga2+", "Mo3+", 0.2790217452], + ["Mo3+", "Ga2+", 0.2790217452], + ["Ga2+", "Mo4+", 0.2059042782], + ["Mo4+", "Ga2+", 0.2059042782], + ["Ga2+", "Mo6+", 0.0529215432], + ["Mo6+", "Ga2+", 0.0529215432], + ["Ga2+", "Mo5+", -0.0313470842], + ["Mo5+", "Ga2+", -0.0313470842], + ["Ga2+", "Mo2+", 0.4496353673], + ["Mo2+", "Ga2+", 0.4496353673], + ["Ga2+", "Tc4+", 0.1420043271], + ["Tc4+", "Ga2+", 0.1420043271], + ["Ga2+", "Tc3-", 0.162381312], + ["Tc3-", "Ga2+", 0.162381312], + ["Ga2+", "Tc3+", 0.3153206055], + ["Tc3+", "Ga2+", 0.3153206055], + ["Ga2+", "Tc7+", -0.0901990407], + ["Tc7+", "Ga2+", -0.0901990407], + ["Ga2+", "Tc5+", 0.2130452943], + ["Tc5+", "Ga2+", 0.2130452943], + ["Ga2+", "Tc6+", -0.2325086317], + ["Tc6+", "Ga2+", -0.2325086317], + ["Ga2+", "Tc2-", -0.0242921804], + ["Tc2-", "Ga2+", -0.0242921804], + ["Ga2+", "Tc2+", 0.2794134195], + ["Tc2+", "Ga2+", 0.2794134195], + ["Ga2+", "Ru2+", 0.367008958], + ["Ru2+", "Ga2+", 0.367008958], + ["Ga2+", "Ru6+", 0.1375780705], + ["Ru6+", "Ga2+", 0.1375780705], + ["Ga2+", "Ru4+", 0.2366447342], + ["Ru4+", "Ga2+", 0.2366447342], + ["Ga2+", "Ru5+", 0.1562047256], + ["Ru5+", "Ga2+", 0.1562047256], + ["Ga2+", "Ru3+", 0.1341429139], + ["Ru3+", "Ga2+", 0.1341429139], + ["Ga2+", "Rh4+", 0.1923281306], + ["Rh4+", "Ga2+", 0.1923281306], + ["Ga2+", "Rh3+", 0.1907171324], + ["Rh3+", "Ga2+", 0.1907171324], + ["Ga2+", "Pd2+", 0.1868663634], + ["Pd2+", "Ga2+", 0.1868663634], + ["Ga2+", "Pd4+", 0.2920950423], + ["Pd4+", "Ga2+", 0.2920950423], + ["Ga2+", "Pd3+", 0.0549325133], + ["Pd3+", "Ga2+", 0.0549325133], + ["Ga2+", "Ag3+", -0.1378107274], + ["Ag3+", "Ga2+", -0.1378107274], + ["Ga2+", "Ag2+", 0.0289131888], + ["Ag2+", "Ga2+", 0.0289131888], + ["Ga2+", "Cd2+", 0.4455937781], + ["Cd2+", "Ga2+", 0.4455937781], + ["Ga2+", "In3+", 0.4397335588], + ["In3+", "Ga2+", 0.4397335588], + ["Ga2+", "In2+", 0.5183320247], + ["In2+", "Ga2+", 0.5183320247], + ["Ga2+", "Sn4+", 0.2627607298], + ["Sn4+", "Ga2+", 0.2627607298], + ["Ga2+", "Sn3+", 0.1158928223], + ["Sn3+", "Ga2+", 0.1158928223], + ["Ga2+", "Sn2+", 0.30299931], + ["Sn2+", "Ga2+", 0.30299931], + ["Ga2+", "Sb5+", 0.0264200161], + ["Sb5+", "Ga2+", 0.0264200161], + ["Ga2+", "Sb2-", -0.1149410608], + ["Sb2-", "Ga2+", -0.1149410608], + ["Ga2+", "Sb3-", 0.1244191926], + ["Sb3-", "Ga2+", 0.1244191926], + ["Ga2+", "Sb3+", 0.2881688264], + ["Sb3+", "Ga2+", 0.2881688264], + ["Ga2+", "Sb4+", -0.0061707443], + ["Sb4+", "Ga2+", -0.0061707443], + ["Ga2+", "Te2-", 0.2603335126], + ["Te2-", "Ga2+", 0.2603335126], + ["Ga2+", "Te4+", 0.2177751076], + ["Te4+", "Ga2+", 0.2177751076], + ["Ga2+", "Te6+", -0.1026855668], + ["Te6+", "Ga2+", -0.1026855668], + ["Ga2+", "Te2+", 0.1724736912], + ["Te2+", "Ga2+", 0.1724736912], + ["Ga2+", "Te5+", 0.2268784545], + ["Te5+", "Ga2+", 0.2268784545], + ["Ga2+", "I3+", 0.045709518], + ["I3+", "Ga2+", 0.045709518], + ["Ga2+", "I7+", -0.1416076513], + ["I7+", "Ga2+", -0.1416076513], + ["Ga2+", "I5+", -0.0189400276], + ["I5+", "Ga2+", -0.0189400276], + ["Ga2+", "I2+", -0.0288889177], + ["I2+", "Ga2+", -0.0288889177], + ["Ga2+", "Ba2+", 0.2839547906], + ["Ba2+", "Ga2+", 0.2839547906], + ["Ga2+", "La3+", 0.3392334638], + ["La3+", "Ga2+", 0.3392334638], + ["Ga2+", "La2+", 0.3494979741], + ["La2+", "Ga2+", 0.3494979741], + ["Ga2+", "Ce3+", 0.364960024], + ["Ce3+", "Ga2+", 0.364960024], + ["Ga2+", "Ce2+", 0.4083368628], + ["Ce2+", "Ga2+", 0.4083368628], + ["Ga2+", "Ce4+", 0.0842832214], + ["Ce4+", "Ga2+", 0.0842832214], + ["Ga2+", "Pr3+", 0.2495386163], + ["Pr3+", "Ga2+", 0.2495386163], + ["Ga2+", "Pr4+", 0.0519654005], + ["Pr4+", "Ga2+", 0.0519654005], + ["Ga2+", "Pr2+", 0.2933014188], + ["Pr2+", "Ga2+", 0.2933014188], + ["Ga2+", "Nd3+", 0.197956809], + ["Nd3+", "Ga2+", 0.197956809], + ["Ga2+", "Nd2+", 0.3252745916], + ["Nd2+", "Ga2+", 0.3252745916], + ["Ga2+", "Pm3+", 0.4006792169], + ["Pm3+", "Ga2+", 0.4006792169], + ["Ga2+", "Sm3+", 0.27013071], + ["Sm3+", "Ga2+", 0.27013071], + ["Ga2+", "Sm2+", 0.4218399876], + ["Sm2+", "Ga2+", 0.4218399876], + ["Ga2+", "Eu2+", 0.3970188278], + ["Eu2+", "Ga2+", 0.3970188278], + ["Ga2+", "Eu3+", 0.2199145894], + ["Eu3+", "Ga2+", 0.2199145894], + ["Ga2+", "Gd2+", 0.1620987034], + ["Gd2+", "Ga2+", 0.1620987034], + ["Ga2+", "Gd3+", 0.2423089481], + ["Gd3+", "Ga2+", 0.2423089481], + ["Ga2+", "Tb3+", 0.2641509137], + ["Tb3+", "Ga2+", 0.2641509137], + ["Ga2+", "Tb2+", 0.3211035727], + ["Tb2+", "Ga2+", 0.3211035727], + ["Ga2+", "Tb4+", -0.0452818958], + ["Tb4+", "Ga2+", -0.0452818958], + ["Ga2+", "Dy3+", 0.2297966058], + ["Dy3+", "Ga2+", 0.2297966058], + ["Ga2+", "Dy2+", 0.339444878], + ["Dy2+", "Ga2+", 0.339444878], + ["Ga2+", "Ho3+", 0.2506202871], + ["Ho3+", "Ga2+", 0.2506202871], + ["Ga2+", "Ho2+", 0.3058184989], + ["Ho2+", "Ga2+", 0.3058184989], + ["Ga2+", "Er3+", 0.1654853775], + ["Er3+", "Ga2+", 0.1654853775], + ["Ga2+", "Tm3+", 0.2175753782], + ["Tm3+", "Ga2+", 0.2175753782], + ["Ga2+", "Tm2+", 0.3967585787], + ["Tm2+", "Ga2+", 0.3967585787], + ["Ga2+", "Yb3+", 0.1598643299], + ["Yb3+", "Ga2+", 0.1598643299], + ["Ga2+", "Yb2+", 0.3738990931], + ["Yb2+", "Ga2+", 0.3738990931], + ["Ga2+", "Lu3+", 0.0829574499], + ["Lu3+", "Ga2+", 0.0829574499], + ["Ga2+", "Hf3+", 0.3624338094], + ["Hf3+", "Ga2+", 0.3624338094], + ["Ga2+", "Hf2+", 0.082626429], + ["Hf2+", "Ga2+", 0.082626429], + ["Ga2+", "Hf4+", 0.0621375426], + ["Hf4+", "Ga2+", 0.0621375426], + ["Ga2+", "Ta5+", 0.1700834422], + ["Ta5+", "Ga2+", 0.1700834422], + ["Ga2+", "Ta3+", 0.232475269], + ["Ta3+", "Ga2+", 0.232475269], + ["Ga2+", "Ta4+", 0.385170806], + ["Ta4+", "Ga2+", 0.385170806], + ["Ga2+", "Ta2+", 0.3806224547], + ["Ta2+", "Ga2+", 0.3806224547], + ["Ga2+", "W6+", 0.0635682785], + ["W6+", "Ga2+", 0.0635682785], + ["Ga2+", "W4+", 0.2970775981], + ["W4+", "Ga2+", 0.2970775981], + ["Ga2+", "W2+", 0.5001559048], + ["W2+", "Ga2+", 0.5001559048], + ["Ga2+", "W3+", 0.3433224552], + ["W3+", "Ga2+", 0.3433224552], + ["Ga2+", "W5+", 0.153199921], + ["W5+", "Ga2+", 0.153199921], + ["Ga2+", "Re5+", 0.4094608611], + ["Re5+", "Ga2+", 0.4094608611], + ["Ga2+", "Re3+", 0.443357762], + ["Re3+", "Ga2+", 0.443357762], + ["Ga2+", "Re6+", -0.0307251133], + ["Re6+", "Ga2+", -0.0307251133], + ["Ga2+", "Re2+", 0.1607340191], + ["Re2+", "Ga2+", 0.1607340191], + ["Ga2+", "Re4+", 0.41488017], + ["Re4+", "Ga2+", 0.41488017], + ["Ga2+", "Re7+", 0.1202358907], + ["Re7+", "Ga2+", 0.1202358907], + ["Ga2+", "Os7+", -0.1220560613], + ["Os7+", "Ga2+", -0.1220560613], + ["Ga2+", "Os6+", -0.0863253292], + ["Os6+", "Ga2+", -0.0863253292], + ["Ga2+", "Os5+", 0.1947683058], + ["Os5+", "Ga2+", 0.1947683058], + ["Ga2+", "Os2-", 0.1131051623], + ["Os2-", "Ga2+", 0.1131051623], + ["Ga2+", "Os3+", 0.2036393442], + ["Os3+", "Ga2+", 0.2036393442], + ["Ga2+", "Os4+", 0.3378119958], + ["Os4+", "Ga2+", 0.3378119958], + ["Ga2+", "Os8+", 0.0923431806], + ["Os8+", "Ga2+", 0.0923431806], + ["Ga2+", "Os2+", 0.2041161455], + ["Os2+", "Ga2+", 0.2041161455], + ["Ga2+", "Ir3+", 0.185649447], + ["Ir3+", "Ga2+", 0.185649447], + ["Ga2+", "Ir4+", 0.2900303776], + ["Ir4+", "Ga2+", 0.2900303776], + ["Ga2+", "Ir5+", 0.3110305358], + ["Ir5+", "Ga2+", 0.3110305358], + ["Ga2+", "Ir6+", 0.0399367016], + ["Ir6+", "Ga2+", 0.0399367016], + ["Ga2+", "Pt2+", 0.3546233506], + ["Pt2+", "Ga2+", 0.3546233506], + ["Ga2+", "Pt2-", 0.2549086205], + ["Pt2-", "Ga2+", 0.2549086205], + ["Ga2+", "Pt4+", 0.1946237895], + ["Pt4+", "Ga2+", 0.1946237895], + ["Ga2+", "Pt3+", 0.1727335258], + ["Pt3+", "Ga2+", 0.1727335258], + ["Ga2+", "Pt5+", 0.2961163863], + ["Pt5+", "Ga2+", 0.2961163863], + ["Ga2+", "Pt6+", 0.0358519294], + ["Pt6+", "Ga2+", 0.0358519294], + ["Ga2+", "Au2+", 0.1981651026], + ["Au2+", "Ga2+", 0.1981651026], + ["Ga2+", "Au3+", 0.1323269507], + ["Au3+", "Ga2+", 0.1323269507], + ["Ga2+", "Au5+", 0.0708989889], + ["Au5+", "Ga2+", 0.0708989889], + ["Ga2+", "Au4+", 0.0209442103], + ["Au4+", "Ga2+", 0.0209442103], + ["Ga2+", "Hg2+", 0.3562491203], + ["Hg2+", "Ga2+", 0.3562491203], + ["Ga2+", "Tl3+", 0.0798526399], + ["Tl3+", "Ga2+", 0.0798526399], + ["Ga2+", "Tl2+", 0.1034635247], + ["Tl2+", "Ga2+", 0.1034635247], + ["Ga2+", "Pb2+", 0.3306475547], + ["Pb2+", "Ga2+", 0.3306475547], + ["Ga2+", "Pb3+", 0.1896211692], + ["Pb3+", "Ga2+", 0.1896211692], + ["Ga2+", "Pb4+", 0.0790501893], + ["Pb4+", "Ga2+", 0.0790501893], + ["Ga2+", "Bi3+", 0.3518873332], + ["Bi3+", "Ga2+", 0.3518873332], + ["Ga2+", "Bi5+", 0.0378116653], + ["Bi5+", "Ga2+", 0.0378116653], + ["Ga2+", "Bi2+", 0.4378571801], + ["Bi2+", "Ga2+", 0.4378571801], + ["Ga2+", "Bi3-", 0.0959641227], + ["Bi3-", "Ga2+", 0.0959641227], + ["Ga2+", "Bi4+", -0.115812578], + ["Bi4+", "Ga2+", -0.115812578], + ["Ga2+", "Ac3+", 0.349682632], + ["Ac3+", "Ga2+", 0.349682632], + ["Ga2+", "Th4+", -0.0572453654], + ["Th4+", "Ga2+", -0.0572453654], + ["Ga2+", "Th3+", 0.2058150455], + ["Th3+", "Ga2+", 0.2058150455], + ["Ga2+", "Pa4+", 0.358969567], + ["Pa4+", "Ga2+", 0.358969567], + ["Ga2+", "Pa5+", 0.0301245415], + ["Pa5+", "Ga2+", 0.0301245415], + ["Ga2+", "Pa3+", 0.3396007003], + ["Pa3+", "Ga2+", 0.3396007003], + ["Ga2+", "U6+", 0.0974311944], + ["U6+", "Ga2+", 0.0974311944], + ["Ga2+", "U4+", 0.1382567016], + ["U4+", "Ga2+", 0.1382567016], + ["Ga2+", "U3+", 0.2526358016], + ["U3+", "Ga2+", 0.2526358016], + ["Ga2+", "U2+", 0.4857002579], + ["U2+", "Ga2+", 0.4857002579], + ["Ga2+", "U5+", 0.0028824382], + ["U5+", "Ga2+", 0.0028824382], + ["Ga2+", "Np6+", 0.1633517223], + ["Np6+", "Ga2+", 0.1633517223], + ["Ga2+", "Np4+", 0.0683562629], + ["Np4+", "Ga2+", 0.0683562629], + ["Ga2+", "Np3+", 0.4357665938], + ["Np3+", "Ga2+", 0.4357665938], + ["Ga2+", "Np7+", 0.2586874864], + ["Np7+", "Ga2+", 0.2586874864], + ["Ga2+", "Np5+", 0.3484767672], + ["Np5+", "Ga2+", 0.3484767672], + ["Ga2+", "Pu7+", 0.0374447267], + ["Pu7+", "Ga2+", 0.0374447267], + ["Ga2+", "Pu6+", 0.3055048007], + ["Pu6+", "Ga2+", 0.3055048007], + ["Ga2+", "Pu3+", 0.2020411239], + ["Pu3+", "Ga2+", 0.2020411239], + ["Ga2+", "Pu4+", 0.0460393242], + ["Pu4+", "Ga2+", 0.0460393242], + ["Ga2+", "Pu5+", 0.3179151771], + ["Pu5+", "Ga2+", 0.3179151771], + ["Ga2+", "H1+", -0.2341216511], + ["H1+", "Ga2+", -0.2341216511], + ["Ga2+", "H1-", 0.0102380006], + ["H1-", "Ga2+", 0.0102380006], + ["Ga2+", "Li1+", 0.0409776233], + ["Li1+", "Ga2+", 0.0409776233], + ["Ga2+", "B1+", 0.2170186224], + ["B1+", "Ga2+", 0.2170186224], + ["Ga2+", "B1-", -0.0511564076], + ["B1-", "Ga2+", -0.0511564076], + ["Ga2+", "C1-", 0.0664200156], + ["C1-", "Ga2+", 0.0664200156], + ["Ga2+", "C1+", 0.08253618], + ["C1+", "Ga2+", 0.08253618], + ["Ga2+", "N1-", 0.0165523606], + ["N1-", "Ga2+", 0.0165523606], + ["Ga2+", "N1+", 0.2257199425], + ["N1+", "Ga2+", 0.2257199425], + ["Ga2+", "O1-", 0.0518785798], + ["O1-", "Ga2+", 0.0518785798], + ["Ga2+", "F1-", 0.0237346219], + ["F1-", "Ga2+", 0.0237346219], + ["Ga2+", "Na1+", 0.2305869167], + ["Na1+", "Ga2+", 0.2305869167], + ["Ga2+", "Si1-", 0.0287576195], + ["Si1-", "Ga2+", 0.0287576195], + ["Ga2+", "P1+", 0.2282672844], + ["P1+", "Ga2+", 0.2282672844], + ["Ga2+", "P1-", 0.0087982513], + ["P1-", "Ga2+", 0.0087982513], + ["Ga2+", "S1-", 0.0428495063], + ["S1-", "Ga2+", 0.0428495063], + ["Ga2+", "S1+", 0.2066272895], + ["S1+", "Ga2+", 0.2066272895], + ["Ga2+", "Cl1-", 0.1742625374], + ["Cl1-", "Ga2+", 0.1742625374], + ["Ga2+", "K1+", 0.2234434876], + ["K1+", "Ga2+", 0.2234434876], + ["Ga2+", "Sc1+", 0.4002408797], + ["Sc1+", "Ga2+", 0.4002408797], + ["Ga2+", "Mn1+", 0.088297323], + ["Mn1+", "Ga2+", 0.088297323], + ["Ga2+", "Fe1+", 0.295482097], + ["Fe1+", "Ga2+", 0.295482097], + ["Ga2+", "Co1+", 0.2116095276], + ["Co1+", "Ga2+", 0.2116095276], + ["Ga2+", "Ni1+", 0.3632290873], + ["Ni1+", "Ga2+", 0.3632290873], + ["Ga2+", "Cu1+", 0.4425279872], + ["Cu1+", "Ga2+", 0.4425279872], + ["Ga2+", "Ga1+", 0.2263388383], + ["Ga1+", "Ga2+", 0.2263388383], + ["Ga2+", "As1-", 0.1051157599], + ["As1-", "Ga2+", 0.1051157599], + ["Ga2+", "As1+", 0.3787871174], + ["As1+", "Ga2+", 0.3787871174], + ["Ga2+", "Se1-", 0.0394228372], + ["Se1-", "Ga2+", 0.0394228372], + ["Ga2+", "Se1+", 0.2783170191], + ["Se1+", "Ga2+", 0.2783170191], + ["Ga2+", "Br1-", 0.14276557], + ["Br1-", "Ga2+", 0.14276557], + ["Ga2+", "Br1+", -0.0455264178], + ["Br1+", "Ga2+", -0.0455264178], + ["Ga2+", "Rb1+", 0.2881273799], + ["Rb1+", "Ga2+", 0.2881273799], + ["Ga2+", "Y1+", -0.0437282483], + ["Y1+", "Ga2+", -0.0437282483], + ["Ga2+", "Zr1+", 0.2485391602], + ["Zr1+", "Ga2+", 0.2485391602], + ["Ga2+", "Nb1+", 0.3204301105], + ["Nb1+", "Ga2+", 0.3204301105], + ["Ga2+", "Tc1-", 0.1705823669], + ["Tc1-", "Ga2+", 0.1705823669], + ["Ga2+", "Tc1+", 0.3825023022], + ["Tc1+", "Ga2+", 0.3825023022], + ["Ga2+", "Rh1+", 0.2991224291], + ["Rh1+", "Ga2+", 0.2991224291], + ["Ga2+", "Ag1+", 0.4045555628], + ["Ag1+", "Ga2+", 0.4045555628], + ["Ga2+", "In1+", 0.3665396964], + ["In1+", "Ga2+", 0.3665396964], + ["Ga2+", "Sb1-", 0.1966395917], + ["Sb1-", "Ga2+", 0.1966395917], + ["Ga2+", "Sb1+", 0.0972542562], + ["Sb1+", "Ga2+", 0.0972542562], + ["Ga2+", "Te1-", 0.0924286746], + ["Te1-", "Ga2+", 0.0924286746], + ["Ga2+", "Te1+", 0.2842993569], + ["Te1+", "Ga2+", 0.2842993569], + ["Ga2+", "I1-", 0.1466471713], + ["I1-", "Ga2+", 0.1466471713], + ["Ga2+", "I1+", -0.0118333343], + ["I1+", "Ga2+", -0.0118333343], + ["Ga2+", "Cs1+", 0.3607582797], + ["Cs1+", "Ga2+", 0.3607582797], + ["Ga2+", "La1+", 0.2587311], + ["La1+", "Ga2+", 0.2587311], + ["Ga2+", "Tb1+", 0.240410045], + ["Tb1+", "Ga2+", 0.240410045], + ["Ga2+", "Ta1+", 0.3331385338], + ["Ta1+", "Ga2+", 0.3331385338], + ["Ga2+", "Os1-", 0.1823147051], + ["Os1-", "Ga2+", 0.1823147051], + ["Ga2+", "Os1+", 0.1661232257], + ["Os1+", "Ga2+", 0.1661232257], + ["Ga2+", "Pt1-", 0.1904925994], + ["Pt1-", "Ga2+", 0.1904925994], + ["Ga2+", "Pt1+", 0.2384814469], + ["Pt1+", "Ga2+", 0.2384814469], + ["Ga2+", "Au1-", -0.0747609612], + ["Au1-", "Ga2+", -0.0747609612], + ["Ga2+", "Au1+", 0.2726423738], + ["Au1+", "Ga2+", 0.2726423738], + ["Ga2+", "Hg1+", 0.2062541002], + ["Hg1+", "Ga2+", 0.2062541002], + ["Ga2+", "Tl1+", 0.3309985324], + ["Tl1+", "Ga2+", 0.3309985324], + ["Ga2+", "Bi1+", 0.4730137237], + ["Bi1+", "Ga2+", 0.4730137237], + ["Ge4-", "Ge4-", 1.0], + ["Ge4-", "Ge4+", 0.0078033647], + ["Ge4+", "Ge4-", 0.0078033647], + ["Ge4-", "Ge2-", 0.7390539394], + ["Ge2-", "Ge4-", 0.7390539394], + ["Ge4-", "Ge2+", 0.1120518517], + ["Ge2+", "Ge4-", 0.1120518517], + ["Ge4-", "Ge3+", -0.0101778848], + ["Ge3+", "Ge4-", -0.0101778848], + ["Ge4-", "As2-", 0.1933526206], + ["As2-", "Ge4-", 0.1933526206], + ["Ge4-", "As3+", -0.1210024595], + ["As3+", "Ge4-", -0.1210024595], + ["Ge4-", "As5+", -0.2130533134], + ["As5+", "Ge4-", -0.2130533134], + ["Ge4-", "As3-", 0.3155663672], + ["As3-", "Ge4-", 0.3155663672], + ["Ge4-", "As2+", -0.06500339], + ["As2+", "Ge4-", -0.06500339], + ["Ge4-", "As4+", -0.0564046522], + ["As4+", "Ge4-", -0.0564046522], + ["Ge4-", "Se2-", 0.3903987853], + ["Se2-", "Ge4-", 0.3903987853], + ["Ge4-", "Se4+", -0.1537662932], + ["Se4+", "Ge4-", -0.1537662932], + ["Ge4-", "Se6+", -0.1159885969], + ["Se6+", "Ge4-", -0.1159885969], + ["Ge4-", "Se5+", 0.0328622964], + ["Se5+", "Ge4-", 0.0328622964], + ["Ge4-", "Se2+", -0.0799432757], + ["Se2+", "Ge4-", -0.0799432757], + ["Ge4-", "Se3+", -0.0378549082], + ["Se3+", "Ge4-", -0.0378549082], + ["Ge4-", "Br2+", 0.072007662], + ["Br2+", "Ge4-", 0.072007662], + ["Ge4-", "Br5+", -0.0426953998], + ["Br5+", "Ge4-", -0.0426953998], + ["Ge4-", "Br3+", -0.008312793], + ["Br3+", "Ge4-", -0.008312793], + ["Ge4-", "Sr2+", 0.0429958028], + ["Sr2+", "Ge4-", 0.0429958028], + ["Ge4-", "Y3+", 0.0855714196], + ["Y3+", "Ge4-", 0.0855714196], + ["Ge4-", "Y2+", 0.0170561803], + ["Y2+", "Ge4-", 0.0170561803], + ["Ge4-", "Zr2+", 0.0393925743], + ["Zr2+", "Ge4-", 0.0393925743], + ["Ge4-", "Zr4+", -0.0997459187], + ["Zr4+", "Ge4-", -0.0997459187], + ["Ge4-", "Zr3+", 0.0844211651], + ["Zr3+", "Ge4-", 0.0844211651], + ["Ge4-", "Nb5+", -0.0272870879], + ["Nb5+", "Ge4-", -0.0272870879], + ["Ge4-", "Nb3+", 0.2378103066], + ["Nb3+", "Ge4-", 0.2378103066], + ["Ge4-", "Nb4+", -0.066421144], + ["Nb4+", "Ge4-", -0.066421144], + ["Ge4-", "Nb2+", 0.2780801516], + ["Nb2+", "Ge4-", 0.2780801516], + ["Ge4-", "Nb7+", 0.0008385386], + ["Nb7+", "Ge4-", 0.0008385386], + ["Ge4-", "Mo3+", 0.1364947711], + ["Mo3+", "Ge4-", 0.1364947711], + ["Ge4-", "Mo4+", 0.20134097], + ["Mo4+", "Ge4-", 0.20134097], + ["Ge4-", "Mo6+", -0.0958487677], + ["Mo6+", "Ge4-", -0.0958487677], + ["Ge4-", "Mo5+", -0.2701142275], + ["Mo5+", "Ge4-", -0.2701142275], + ["Ge4-", "Mo2+", 0.044336038], + ["Mo2+", "Ge4-", 0.044336038], + ["Ge4-", "Tc4+", -0.111911934], + ["Tc4+", "Ge4-", -0.111911934], + ["Ge4-", "Tc3-", 0.1054418922], + ["Tc3-", "Ge4-", 0.1054418922], + ["Ge4-", "Tc3+", -0.0232079701], + ["Tc3+", "Ge4-", -0.0232079701], + ["Ge4-", "Tc7+", 0.0822619649], + ["Tc7+", "Ge4-", 0.0822619649], + ["Ge4-", "Tc5+", -0.0404017857], + ["Tc5+", "Ge4-", -0.0404017857], + ["Ge4-", "Tc6+", -0.16054163], + ["Tc6+", "Ge4-", -0.16054163], + ["Ge4-", "Tc2-", 0.2407898021], + ["Tc2-", "Ge4-", 0.2407898021], + ["Ge4-", "Tc2+", 0.0548203194], + ["Tc2+", "Ge4-", 0.0548203194], + ["Ge4-", "Ru2+", 0.2261426019], + ["Ru2+", "Ge4-", 0.2261426019], + ["Ge4-", "Ru6+", 0.0057334732], + ["Ru6+", "Ge4-", 0.0057334732], + ["Ge4-", "Ru4+", 0.0032843449], + ["Ru4+", "Ge4-", 0.0032843449], + ["Ge4-", "Ru5+", 0.2803571817], + ["Ru5+", "Ge4-", 0.2803571817], + ["Ge4-", "Ru3+", -0.0280759128], + ["Ru3+", "Ge4-", -0.0280759128], + ["Ge4-", "Rh4+", -0.1466937486], + ["Rh4+", "Ge4-", -0.1466937486], + ["Ge4-", "Rh3+", 0.3026597025], + ["Rh3+", "Ge4-", 0.3026597025], + ["Ge4-", "Pd2+", 0.3843566334], + ["Pd2+", "Ge4-", 0.3843566334], + ["Ge4-", "Pd4+", -0.0822274063], + ["Pd4+", "Ge4-", -0.0822274063], + ["Ge4-", "Pd3+", 0.2950275111], + ["Pd3+", "Ge4-", 0.2950275111], + ["Ge4-", "Ag3+", -0.0124895133], + ["Ag3+", "Ge4-", -0.0124895133], + ["Ge4-", "Ag2+", -0.1166538558], + ["Ag2+", "Ge4-", -0.1166538558], + ["Ge4-", "Cd2+", 0.0191663393], + ["Cd2+", "Ge4-", 0.0191663393], + ["Ge4-", "In3+", 0.0460837597], + ["In3+", "Ge4-", 0.0460837597], + ["Ge4-", "In2+", 0.048923249], + ["In2+", "Ge4-", 0.048923249], + ["Ge4-", "Sn4+", -0.1856057258], + ["Sn4+", "Ge4-", -0.1856057258], + ["Ge4-", "Sn3+", -0.0201603014], + ["Sn3+", "Ge4-", -0.0201603014], + ["Ge4-", "Sn2+", -0.0366035822], + ["Sn2+", "Ge4-", -0.0366035822], + ["Ge4-", "Sb5+", -0.185642146], + ["Sb5+", "Ge4-", -0.185642146], + ["Ge4-", "Sb2-", 0.1910377885], + ["Sb2-", "Ge4-", 0.1910377885], + ["Ge4-", "Sb3-", 0.3425553858], + ["Sb3-", "Ge4-", 0.3425553858], + ["Ge4-", "Sb3+", -0.2172763013], + ["Sb3+", "Ge4-", -0.2172763013], + ["Ge4-", "Sb4+", -0.1353418692], + ["Sb4+", "Ge4-", -0.1353418692], + ["Ge4-", "Te2-", 0.2904325355], + ["Te2-", "Ge4-", 0.2904325355], + ["Ge4-", "Te4+", -0.2206714383], + ["Te4+", "Ge4-", -0.2206714383], + ["Ge4-", "Te6+", -0.1090824963], + ["Te6+", "Ge4-", -0.1090824963], + ["Ge4-", "Te2+", 0.0347739773], + ["Te2+", "Ge4-", 0.0347739773], + ["Ge4-", "Te5+", -0.0771459955], + ["Te5+", "Ge4-", -0.0771459955], + ["Ge4-", "I3+", -0.0979387829], + ["I3+", "Ge4-", -0.0979387829], + ["Ge4-", "I7+", 0.0535894896], + ["I7+", "Ge4-", 0.0535894896], + ["Ge4-", "I5+", -0.1124765836], + ["I5+", "Ge4-", -0.1124765836], + ["Ge4-", "I2+", 0.1696774997], + ["I2+", "Ge4-", 0.1696774997], + ["Ge4-", "Ba2+", -0.0629421058], + ["Ba2+", "Ge4-", -0.0629421058], + ["Ge4-", "La3+", 0.0259034278], + ["La3+", "Ge4-", 0.0259034278], + ["Ge4-", "La2+", 0.2776117627], + ["La2+", "Ge4-", 0.2776117627], + ["Ge4-", "Ce3+", 0.2738891626], + ["Ce3+", "Ge4-", 0.2738891626], + ["Ge4-", "Ce2+", 0.3188403165], + ["Ce2+", "Ge4-", 0.3188403165], + ["Ge4-", "Ce4+", 0.1055977078], + ["Ce4+", "Ge4-", 0.1055977078], + ["Ge4-", "Pr3+", 0.097750915], + ["Pr3+", "Ge4-", 0.097750915], + ["Ge4-", "Pr4+", 0.0671169026], + ["Pr4+", "Ge4-", 0.0671169026], + ["Ge4-", "Pr2+", -0.1379588427], + ["Pr2+", "Ge4-", -0.1379588427], + ["Ge4-", "Nd3+", -0.109385293], + ["Nd3+", "Ge4-", -0.109385293], + ["Ge4-", "Nd2+", 0.3200302846], + ["Nd2+", "Ge4-", 0.3200302846], + ["Ge4-", "Pm3+", -0.0091705366], + ["Pm3+", "Ge4-", -0.0091705366], + ["Ge4-", "Sm3+", -0.0949195907], + ["Sm3+", "Ge4-", -0.0949195907], + ["Ge4-", "Sm2+", 0.3308399764], + ["Sm2+", "Ge4-", 0.3308399764], + ["Ge4-", "Eu2+", 0.2618906517], + ["Eu2+", "Ge4-", 0.2618906517], + ["Ge4-", "Eu3+", 0.1822999206], + ["Eu3+", "Ge4-", 0.1822999206], + ["Ge4-", "Gd2+", -0.0460452043], + ["Gd2+", "Ge4-", -0.0460452043], + ["Ge4-", "Gd3+", 0.0110717509], + ["Gd3+", "Ge4-", 0.0110717509], + ["Ge4-", "Tb3+", -0.137350153], + ["Tb3+", "Ge4-", -0.137350153], + ["Ge4-", "Tb2+", 0.2599441068], + ["Tb2+", "Ge4-", 0.2599441068], + ["Ge4-", "Tb4+", 0.2071429021], + ["Tb4+", "Ge4-", 0.2071429021], + ["Ge4-", "Dy3+", -0.0098205185], + ["Dy3+", "Ge4-", -0.0098205185], + ["Ge4-", "Dy2+", 0.3373630063], + ["Dy2+", "Ge4-", 0.3373630063], + ["Ge4-", "Ho3+", -0.0135582024], + ["Ho3+", "Ge4-", -0.0135582024], + ["Ge4-", "Ho2+", 0.3267647661], + ["Ho2+", "Ge4-", 0.3267647661], + ["Ge4-", "Er3+", 0.2462773526], + ["Er3+", "Ge4-", 0.2462773526], + ["Ge4-", "Tm3+", 0.0087704475], + ["Tm3+", "Ge4-", 0.0087704475], + ["Ge4-", "Tm2+", 0.3148658352], + ["Tm2+", "Ge4-", 0.3148658352], + ["Ge4-", "Yb3+", 0.1993407781], + ["Yb3+", "Ge4-", 0.1993407781], + ["Ge4-", "Yb2+", 0.1741271101], + ["Yb2+", "Ge4-", 0.1741271101], + ["Ge4-", "Lu3+", 0.215547098], + ["Lu3+", "Ge4-", 0.215547098], + ["Ge4-", "Hf3+", -0.1098913271], + ["Hf3+", "Ge4-", -0.1098913271], + ["Ge4-", "Hf2+", -0.0472754841], + ["Hf2+", "Ge4-", -0.0472754841], + ["Ge4-", "Hf4+", 0.2482518316], + ["Hf4+", "Ge4-", 0.2482518316], + ["Ge4-", "Ta5+", -0.0314520803], + ["Ta5+", "Ge4-", -0.0314520803], + ["Ge4-", "Ta3+", -0.0655092862], + ["Ta3+", "Ge4-", -0.0655092862], + ["Ge4-", "Ta4+", 0.0310780208], + ["Ta4+", "Ge4-", 0.0310780208], + ["Ge4-", "Ta2+", 0.163958838], + ["Ta2+", "Ge4-", 0.163958838], + ["Ge4-", "W6+", -0.0568068526], + ["W6+", "Ge4-", -0.0568068526], + ["Ge4-", "W4+", 0.0464775827], + ["W4+", "Ge4-", 0.0464775827], + ["Ge4-", "W2+", -0.0353421757], + ["W2+", "Ge4-", -0.0353421757], + ["Ge4-", "W3+", -0.0359608432], + ["W3+", "Ge4-", -0.0359608432], + ["Ge4-", "W5+", -0.2362893697], + ["W5+", "Ge4-", -0.2362893697], + ["Ge4-", "Re5+", 0.1113155517], + ["Re5+", "Ge4-", 0.1113155517], + ["Ge4-", "Re3+", -0.017464847], + ["Re3+", "Ge4-", -0.017464847], + ["Ge4-", "Re6+", -0.0365223528], + ["Re6+", "Ge4-", -0.0365223528], + ["Ge4-", "Re2+", -0.0483563158], + ["Re2+", "Ge4-", -0.0483563158], + ["Ge4-", "Re4+", 0.0099460145], + ["Re4+", "Ge4-", 0.0099460145], + ["Ge4-", "Re7+", -0.0608956229], + ["Re7+", "Ge4-", -0.0608956229], + ["Ge4-", "Os7+", -0.0353883273], + ["Os7+", "Ge4-", -0.0353883273], + ["Ge4-", "Os6+", 0.0161614089], + ["Os6+", "Ge4-", 0.0161614089], + ["Ge4-", "Os5+", -0.0990216265], + ["Os5+", "Ge4-", -0.0990216265], + ["Ge4-", "Os2-", 0.0515050793], + ["Os2-", "Ge4-", 0.0515050793], + ["Ge4-", "Os3+", 0.0900992304], + ["Os3+", "Ge4-", 0.0900992304], + ["Ge4-", "Os4+", 0.0072787209], + ["Os4+", "Ge4-", 0.0072787209], + ["Ge4-", "Os8+", -0.0283963288], + ["Os8+", "Ge4-", -0.0283963288], + ["Ge4-", "Os2+", -0.0419180305], + ["Os2+", "Ge4-", -0.0419180305], + ["Ge4-", "Ir3+", 0.2486328148], + ["Ir3+", "Ge4-", 0.2486328148], + ["Ge4-", "Ir4+", -0.1292053917], + ["Ir4+", "Ge4-", -0.1292053917], + ["Ge4-", "Ir5+", -0.1653231536], + ["Ir5+", "Ge4-", -0.1653231536], + ["Ge4-", "Ir6+", -0.220759963], + ["Ir6+", "Ge4-", -0.220759963], + ["Ge4-", "Pt2+", 0.0663165562], + ["Pt2+", "Ge4-", 0.0663165562], + ["Ge4-", "Pt2-", 0.1510371474], + ["Pt2-", "Ge4-", 0.1510371474], + ["Ge4-", "Pt4+", -0.1121425734], + ["Pt4+", "Ge4-", -0.1121425734], + ["Ge4-", "Pt3+", 0.0003592839], + ["Pt3+", "Ge4-", 0.0003592839], + ["Ge4-", "Pt5+", -0.0521448884], + ["Pt5+", "Ge4-", -0.0521448884], + ["Ge4-", "Pt6+", -0.1083611398], + ["Pt6+", "Ge4-", -0.1083611398], + ["Ge4-", "Au2+", 0.0273623722], + ["Au2+", "Ge4-", 0.0273623722], + ["Ge4-", "Au3+", -0.1459032921], + ["Au3+", "Ge4-", -0.1459032921], + ["Ge4-", "Au5+", -0.1368860471], + ["Au5+", "Ge4-", -0.1368860471], + ["Ge4-", "Au4+", -0.0750849069], + ["Au4+", "Ge4-", -0.0750849069], + ["Ge4-", "Hg2+", -0.1221345927], + ["Hg2+", "Ge4-", -0.1221345927], + ["Ge4-", "Tl3+", -0.0412835366], + ["Tl3+", "Ge4-", -0.0412835366], + ["Ge4-", "Tl2+", -0.0443771034], + ["Tl2+", "Ge4-", -0.0443771034], + ["Ge4-", "Pb2+", 0.0238646438], + ["Pb2+", "Ge4-", 0.0238646438], + ["Ge4-", "Pb3+", -0.1904489341], + ["Pb3+", "Ge4-", -0.1904489341], + ["Ge4-", "Pb4+", -0.1821559791], + ["Pb4+", "Ge4-", -0.1821559791], + ["Ge4-", "Bi3+", -0.0517043884], + ["Bi3+", "Ge4-", -0.0517043884], + ["Ge4-", "Bi5+", -0.1658822135], + ["Bi5+", "Ge4-", -0.1658822135], + ["Ge4-", "Bi2+", -0.1216244272], + ["Bi2+", "Ge4-", -0.1216244272], + ["Ge4-", "Bi3-", 0.7009947502], + ["Bi3-", "Ge4-", 0.7009947502], + ["Ge4-", "Bi4+", 0.0295022755], + ["Bi4+", "Ge4-", 0.0295022755], + ["Ge4-", "Ac3+", 0.0007699598], + ["Ac3+", "Ge4-", 0.0007699598], + ["Ge4-", "Th4+", 0.0740784456], + ["Th4+", "Ge4-", 0.0740784456], + ["Ge4-", "Th3+", -0.0739603364], + ["Th3+", "Ge4-", -0.0739603364], + ["Ge4-", "Pa4+", -0.1606708724], + ["Pa4+", "Ge4-", -0.1606708724], + 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0.0615136779], + ["As4+", "Te1+", -0.0910626794], + ["Te1+", "As4+", -0.0910626794], + ["As4+", "I1-", -0.0132581119], + ["I1-", "As4+", -0.0132581119], + ["As4+", "I1+", 0.1032286982], + ["I1+", "As4+", 0.1032286982], + ["As4+", "Cs1+", 0.2201072519], + ["Cs1+", "As4+", 0.2201072519], + ["As4+", "La1+", -0.0608975973], + ["La1+", "As4+", -0.0608975973], + ["As4+", "Tb1+", -0.1876769264], + ["Tb1+", "As4+", -0.1876769264], + ["As4+", "Ta1+", -0.1377132056], + ["Ta1+", "As4+", -0.1377132056], + ["As4+", "Os1-", -0.1071554161], + ["Os1-", "As4+", -0.1071554161], + ["As4+", "Os1+", -0.0387440644], + ["Os1+", "As4+", -0.0387440644], + ["As4+", "Pt1-", -0.0687203406], + ["Pt1-", "As4+", -0.0687203406], + ["As4+", "Pt1+", 0.038467886], + ["Pt1+", "As4+", 0.038467886], + ["As4+", "Au1-", -0.0817542503], + ["Au1-", "As4+", -0.0817542503], + ["As4+", "Au1+", -0.0908686726], + ["Au1+", "As4+", -0.0908686726], + ["As4+", "Hg1+", 0.2349381465], + ["Hg1+", "As4+", 0.2349381465], + ["As4+", "Tl1+", 0.2258833073], + ["Tl1+", "As4+", 0.2258833073], + ["As4+", "Bi1+", -0.0096511433], + ["Bi1+", "As4+", -0.0096511433], + ["Se2-", "Se2-", 1.0], + ["Se2-", "Se4+", -0.0366050446], + ["Se4+", "Se2-", -0.0366050446], + ["Se2-", "Se6+", 0.0461399247], + ["Se6+", "Se2-", 0.0461399247], + ["Se2-", "Se5+", 0.0933709261], + ["Se5+", "Se2-", 0.0933709261], + ["Se2-", "Se2+", 0.0308543432], + ["Se2+", "Se2-", 0.0308543432], + ["Se2-", "Se3+", 0.0341208065], + ["Se3+", "Se2-", 0.0341208065], + ["Se2-", "Br2+", 0.2867576261], + ["Br2+", "Se2-", 0.2867576261], + ["Se2-", "Br5+", 0.0278492553], + ["Br5+", "Se2-", 0.0278492553], + ["Se2-", "Br3+", 0.0653356982], + ["Br3+", "Se2-", 0.0653356982], + ["Se2-", "Sr2+", -0.0834309365], + ["Sr2+", "Se2-", -0.0834309365], + ["Se2-", "Y3+", 0.1055342579], + ["Y3+", "Se2-", 0.1055342579], + ["Se2-", "Y2+", 0.0444187951], + ["Y2+", "Se2-", 0.0444187951], + ["Se2-", "Zr2+", -0.0868378137], + ["Zr2+", "Se2-", -0.0868378137], + ["Se2-", "Zr4+", -0.022102243], + ["Zr4+", "Se2-", -0.022102243], + ["Se2-", "Zr3+", -0.0512756435], + ["Zr3+", "Se2-", -0.0512756435], + ["Se2-", "Nb5+", 0.09910552], + ["Nb5+", "Se2-", 0.09910552], + ["Se2-", "Nb3+", 0.1074924328], + ["Nb3+", "Se2-", 0.1074924328], + ["Se2-", "Nb4+", 0.0544052611], + ["Nb4+", "Se2-", 0.0544052611], + ["Se2-", "Nb2+", 0.0068429346], + ["Nb2+", "Se2-", 0.0068429346], + ["Se2-", "Nb7+", 0.0105808429], + ["Nb7+", "Se2-", 0.0105808429], + ["Se2-", "Mo3+", 0.191433522], + ["Mo3+", "Se2-", 0.191433522], + ["Se2-", "Mo4+", 0.2235485999], + ["Mo4+", "Se2-", 0.2235485999], + ["Se2-", "Mo6+", -0.0154884518], + ["Mo6+", "Se2-", -0.0154884518], + ["Se2-", "Mo5+", -0.120195947], + ["Mo5+", "Se2-", -0.120195947], + ["Se2-", "Mo2+", 0.0871668576], + ["Mo2+", "Se2-", 0.0871668576], + ["Se2-", "Tc4+", 0.0322017732], + ["Tc4+", "Se2-", 0.0322017732], + ["Se2-", "Tc3-", 0.329160504], + ["Tc3-", "Se2-", 0.329160504], + ["Se2-", "Tc3+", 0.2234320795], + ["Tc3+", "Se2-", 0.2234320795], + ["Se2-", "Tc7+", 0.0568729918], + ["Tc7+", "Se2-", 0.0568729918], + ["Se2-", "Tc5+", 0.0146639913], + ["Tc5+", "Se2-", 0.0146639913], + ["Se2-", "Tc6+", -0.0140536128], + ["Tc6+", "Se2-", -0.0140536128], + ["Se2-", "Tc2-", 0.2856482534], + ["Tc2-", "Se2-", 0.2856482534], + ["Se2-", "Tc2+", 0.1650052907], + ["Tc2+", "Se2-", 0.1650052907], + ["Se2-", "Ru2+", -0.0904911818], + ["Ru2+", "Se2-", -0.0904911818], + ["Se2-", "Ru6+", -0.0205050523], + ["Ru6+", "Se2-", -0.0205050523], + ["Se2-", "Ru4+", 0.0324963072], + ["Ru4+", "Se2-", 0.0324963072], + ["Se2-", "Ru5+", 0.1245584294], + ["Ru5+", "Se2-", 0.1245584294], + ["Se2-", "Ru3+", -0.173216954], + ["Ru3+", "Se2-", -0.173216954], + ["Se2-", "Rh4+", 0.1219905683], + ["Rh4+", "Se2-", 0.1219905683], + ["Se2-", "Rh3+", 0.1906034552], + ["Rh3+", "Se2-", 0.1906034552], + ["Se2-", "Pd2+", 0.2661121554], + ["Pd2+", "Se2-", 0.2661121554], + ["Se2-", "Pd4+", 0.0840768171], + ["Pd4+", "Se2-", 0.0840768171], + ["Se2-", "Pd3+", 0.005902806], + ["Pd3+", "Se2-", 0.005902806], + ["Se2-", "Ag3+", 0.1583214848], + ["Ag3+", "Se2-", 0.1583214848], + ["Se2-", "Ag2+", 0.0253070189], + ["Ag2+", "Se2-", 0.0253070189], + ["Se2-", "Cd2+", 0.0869780022], + ["Cd2+", "Se2-", 0.0869780022], + ["Se2-", "In3+", 0.1592518099], + ["In3+", "Se2-", 0.1592518099], + ["Se2-", "In2+", 0.1195256162], + ["In2+", "Se2-", 0.1195256162], + ["Se2-", "Sn4+", 0.1417609333], + ["Sn4+", "Se2-", 0.1417609333], + ["Se2-", "Sn3+", -0.0397525426], + ["Sn3+", "Se2-", -0.0397525426], + ["Se2-", "Sn2+", 0.0965068339], + ["Sn2+", "Se2-", 0.0965068339], + ["Se2-", "Sb5+", 0.0417806239], + ["Sb5+", "Se2-", 0.0417806239], + ["Se2-", "Sb2-", 0.2610723584], + ["Sb2-", "Se2-", 0.2610723584], + ["Se2-", "Sb3-", 0.3092993726], + ["Sb3-", "Se2-", 0.3092993726], + ["Se2-", "Sb3+", 0.2386166672], + ["Sb3+", "Se2-", 0.2386166672], + ["Se2-", "Sb4+", 0.0853820926], + ["Sb4+", "Se2-", 0.0853820926], + ["Se2-", "Te2-", 0.6181273092], + ["Te2-", "Se2-", 0.6181273092], + ["Se2-", "Te4+", 0.0503165323], + ["Te4+", "Se2-", 0.0503165323], + ["Se2-", "Te6+", -0.0277911205], + ["Te6+", "Se2-", -0.0277911205], + ["Se2-", "Te2+", 0.1410575564], + ["Te2+", "Se2-", 0.1410575564], + ["Se2-", "Te5+", 0.1002785395], + ["Te5+", "Se2-", 0.1002785395], + ["Se2-", "I3+", 0.0467020895], + ["I3+", "Se2-", 0.0467020895], + ["Se2-", "I7+", 0.0700915266], + ["I7+", "Se2-", 0.0700915266], + ["Se2-", "I5+", 0.0118884411], + ["I5+", "Se2-", 0.0118884411], + ["Se2-", "I2+", 0.3898164405], + ["I2+", "Se2-", 0.3898164405], + ["Se2-", "Ba2+", 0.0821474639], + ["Ba2+", "Se2-", 0.0821474639], + ["Se2-", "La3+", 0.0787247645], + ["La3+", "Se2-", 0.0787247645], + ["Se2-", "La2+", 0.0179663771], + ["La2+", "Se2-", 0.0179663771], + ["Se2-", "Ce3+", 0.2229579848], + ["Ce3+", "Se2-", 0.2229579848], + ["Se2-", "Ce2+", 0.0657325098], + ["Ce2+", "Se2-", 0.0657325098], + ["Se2-", "Ce4+", 0.1995276878], + ["Ce4+", "Se2-", 0.1995276878], + ["Se2-", "Pr3+", 0.0517261089], + ["Pr3+", "Se2-", 0.0517261089], + ["Se2-", "Pr4+", 0.1194095069], + ["Pr4+", "Se2-", 0.1194095069], + ["Se2-", "Pr2+", -0.051117366], + ["Pr2+", "Se2-", -0.051117366], + ["Se2-", "Nd3+", 0.0322618796], + ["Nd3+", "Se2-", 0.0322618796], + ["Se2-", "Nd2+", 0.0432820906], + ["Nd2+", "Se2-", 0.0432820906], + ["Se2-", "Pm3+", 0.2057687522], + ["Pm3+", "Se2-", 0.2057687522], + ["Se2-", "Sm3+", 0.0079808914], + ["Sm3+", "Se2-", 0.0079808914], + ["Se2-", "Sm2+", 0.0463303313], + ["Sm2+", "Se2-", 0.0463303313], + ["Se2-", "Eu2+", 0.1263722638], + ["Eu2+", "Se2-", 0.1263722638], + ["Se2-", "Eu3+", 0.1160411508], + ["Eu3+", "Se2-", 0.1160411508], + ["Se2-", "Gd2+", -0.1796482257], + ["Gd2+", "Se2-", -0.1796482257], + ["Se2-", "Gd3+", -0.0437278932], + ["Gd3+", "Se2-", -0.0437278932], + ["Se2-", "Tb3+", 0.0735265503], + ["Tb3+", "Se2-", 0.0735265503], + ["Se2-", "Tb2+", -0.0609711774], + ["Tb2+", "Se2-", -0.0609711774], + ["Se2-", "Tb4+", 0.1194829125], + ["Tb4+", "Se2-", 0.1194829125], + ["Se2-", "Dy3+", 0.0050846699], + ["Dy3+", "Se2-", 0.0050846699], + ["Se2-", "Dy2+", -0.018089087], + ["Dy2+", "Se2-", -0.018089087], + ["Se2-", "Ho3+", 0.0320138392], + ["Ho3+", "Se2-", 0.0320138392], + ["Se2-", "Ho2+", -0.1343071321], + ["Ho2+", "Se2-", -0.1343071321], + ["Se2-", "Er3+", 0.171033175], + ["Er3+", "Se2-", 0.171033175], + ["Se2-", "Tm3+", 0.1163173431], + ["Tm3+", "Se2-", 0.1163173431], + ["Se2-", "Tm2+", 0.0495831135], + ["Tm2+", "Se2-", 0.0495831135], + ["Se2-", "Yb3+", 0.1810886879], + ["Yb3+", "Se2-", 0.1810886879], + ["Se2-", "Yb2+", 0.1164048429], + ["Yb2+", "Se2-", 0.1164048429], + ["Se2-", "Lu3+", 0.2022383589], + ["Lu3+", "Se2-", 0.2022383589], + ["Se2-", "Hf3+", -0.1274023957], + ["Hf3+", "Se2-", -0.1274023957], + ["Se2-", "Hf2+", -0.157444762], + ["Hf2+", "Se2-", -0.157444762], + ["Se2-", "Hf4+", 0.0435370469], + ["Hf4+", "Se2-", 0.0435370469], + ["Se2-", "Ta5+", 0.0688795772], + ["Ta5+", "Se2-", 0.0688795772], + ["Se2-", "Ta3+", 0.0370605564], + ["Ta3+", "Se2-", 0.0370605564], + ["Se2-", "Ta4+", 0.1944800888], + ["Ta4+", "Se2-", 0.1944800888], + ["Se2-", "Ta2+", 0.0929295439], + ["Ta2+", "Se2-", 0.0929295439], + ["Se2-", "W6+", 0.0672300348], + ["W6+", "Se2-", 0.0672300348], + ["Se2-", "W4+", 0.0459849637], + ["W4+", "Se2-", 0.0459849637], + ["Se2-", "W2+", 0.0754093588], + ["W2+", "Se2-", 0.0754093588], + ["Se2-", "W3+", -0.0135489575], + ["W3+", "Se2-", -0.0135489575], + ["Se2-", "W5+", 0.0443079803], + ["W5+", "Se2-", 0.0443079803], + ["Se2-", "Re5+", 0.1217010424], + ["Re5+", "Se2-", 0.1217010424], + ["Se2-", "Re3+", 0.0849617498], + ["Re3+", "Se2-", 0.0849617498], + ["Se2-", "Re6+", 0.1663488876], + ["Re6+", "Se2-", 0.1663488876], + ["Se2-", "Re2+", 0.057303986], + ["Re2+", "Se2-", 0.057303986], + ["Se2-", "Re4+", -0.003863529], + ["Re4+", "Se2-", -0.003863529], + ["Se2-", "Re7+", 0.1122820203], + ["Re7+", "Se2-", 0.1122820203], + ["Se2-", "Os7+", 0.0273661512], + ["Os7+", "Se2-", 0.0273661512], + ["Se2-", "Os6+", 0.0205295535], + ["Os6+", "Se2-", 0.0205295535], + ["Se2-", "Os5+", 0.0684124138], + ["Os5+", "Se2-", 0.0684124138], + ["Se2-", "Os2-", 0.0845282847], + ["Os2-", "Se2-", 0.0845282847], + ["Se2-", "Os3+", -0.0240925995], + ["Os3+", "Se2-", -0.0240925995], + ["Se2-", "Os4+", 0.116086479], + ["Os4+", "Se2-", 0.116086479], + ["Se2-", "Os8+", 0.1133186229], + ["Os8+", "Se2-", 0.1133186229], + ["Se2-", "Os2+", 0.0034247228], + ["Os2+", "Se2-", 0.0034247228], + ["Se2-", "Ir3+", -0.0522030418], + ["Ir3+", "Se2-", -0.0522030418], + ["Se2-", "Ir4+", 0.1861383074], + ["Ir4+", "Se2-", 0.1861383074], + ["Se2-", "Ir5+", 0.0184231253], + ["Ir5+", "Se2-", 0.0184231253], + ["Se2-", "Ir6+", 0.2075318505], + ["Ir6+", "Se2-", 0.2075318505], + ["Se2-", "Pt2+", 0.1316619587], + ["Pt2+", "Se2-", 0.1316619587], + ["Se2-", "Pt2-", 0.3059941133], + ["Pt2-", "Se2-", 0.3059941133], + ["Se2-", "Pt4+", -0.0151430715], + ["Pt4+", "Se2-", -0.0151430715], + ["Se2-", "Pt3+", -0.0114601141], + ["Pt3+", "Se2-", -0.0114601141], + ["Se2-", "Pt5+", 0.0580167905], + ["Pt5+", "Se2-", 0.0580167905], + ["Se2-", "Pt6+", 0.0616719332], + ["Pt6+", "Se2-", 0.0616719332], + ["Se2-", "Au2+", 0.2433036787], + ["Au2+", "Se2-", 0.2433036787], + ["Se2-", "Au3+", -0.0380382107], + ["Au3+", "Se2-", -0.0380382107], + ["Se2-", "Au5+", -0.041727956], + ["Au5+", "Se2-", -0.041727956], + ["Se2-", "Au4+", 0.1276537842], + ["Au4+", "Se2-", 0.1276537842], + ["Se2-", "Hg2+", 0.0944273264], + ["Hg2+", "Se2-", 0.0944273264], + ["Se2-", "Tl3+", 0.0780202126], + ["Tl3+", "Se2-", 0.0780202126], + ["Se2-", "Tl2+", 0.0182235286], + ["Tl2+", "Se2-", 0.0182235286], + ["Se2-", "Pb2+", 0.2236615143], + ["Pb2+", "Se2-", 0.2236615143], + ["Se2-", "Pb3+", 0.0140400815], + ["Pb3+", "Se2-", 0.0140400815], + ["Se2-", "Pb4+", 0.0635399426], + ["Pb4+", "Se2-", 0.0635399426], + ["Se2-", "Bi3+", 0.2338588234], + ["Bi3+", "Se2-", 0.2338588234], + ["Se2-", "Bi5+", -0.1338430867], + ["Bi5+", "Se2-", -0.1338430867], + ["Se2-", "Bi2+", 0.1441874896], + ["Bi2+", "Se2-", 0.1441874896], + ["Se2-", "Bi3-", 0.3871306858], + ["Bi3-", "Se2-", 0.3871306858], + ["Se2-", "Bi4+", 0.0606797672], + ["Bi4+", "Se2-", 0.0606797672], + ["Se2-", "Ac3+", 0.107941589], + ["Ac3+", "Se2-", 0.107941589], + ["Se2-", "Th4+", 0.1906637418], + ["Th4+", "Se2-", 0.1906637418], + ["Se2-", "Th3+", 0.1022421057], + ["Th3+", "Se2-", 0.1022421057], + ["Se2-", "Pa4+", -0.2349354369], + ["Pa4+", "Se2-", -0.2349354369], + ["Se2-", "Pa5+", -0.0376212436], + ["Pa5+", "Se2-", -0.0376212436], + ["Se2-", "Pa3+", -0.0665719104], + ["Pa3+", "Se2-", -0.0665719104], + ["Se2-", "U6+", -0.0561287124], + ["U6+", "Se2-", -0.0561287124], + ["Se2-", "U4+", 0.1317069106], + ["U4+", "Se2-", 0.1317069106], + ["Se2-", "U3+", 0.1501852233], + ["U3+", "Se2-", 0.1501852233], + ["Se2-", "U2+", 0.1023560003], + ["U2+", "Se2-", 0.1023560003], + ["Se2-", "U5+", 0.0353688428], + ["U5+", "Se2-", 0.0353688428], + ["Se2-", "Np6+", 0.0755211442], + ["Np6+", "Se2-", 0.0755211442], + ["Se2-", "Np4+", 0.0464942338], + ["Np4+", "Se2-", 0.0464942338], + ["Se2-", "Np3+", 0.1824454437], + ["Np3+", "Se2-", 0.1824454437], + ["Se2-", "Np7+", -0.0442531642], + ["Np7+", "Se2-", -0.0442531642], + ["Se2-", "Np5+", 0.0972807211], + ["Np5+", "Se2-", 0.0972807211], + ["Se2-", "Pu7+", -0.0284240214], + ["Pu7+", "Se2-", -0.0284240214], + ["Se2-", "Pu6+", -0.0540426148], + ["Pu6+", "Se2-", -0.0540426148], + ["Se2-", "Pu3+", 0.1158492577], + ["Pu3+", "Se2-", 0.1158492577], + ["Se2-", "Pu4+", 0.1765733226], + ["Pu4+", "Se2-", 0.1765733226], + ["Se2-", "Pu5+", -0.1552067884], + ["Pu5+", "Se2-", -0.1552067884], + ["Se2-", "H1+", 0.0136973278], + ["H1+", "Se2-", 0.0136973278], + ["Se2-", "H1-", 0.3002277236], + ["H1-", "Se2-", 0.3002277236], + ["Se2-", "Li1+", 0.0438536667], + ["Li1+", "Se2-", 0.0438536667], + ["Se2-", "B1+", -0.0175622485], + ["B1+", "Se2-", -0.0175622485], + ["Se2-", "B1-", 0.2916773521], + ["B1-", "Se2-", 0.2916773521], + ["Se2-", "C1-", 0.2636361485], + ["C1-", "Se2-", 0.2636361485], + ["Se2-", "C1+", 0.0895118811], + ["C1+", "Se2-", 0.0895118811], + ["Se2-", "N1-", 0.2966061711], + ["N1-", "Se2-", 0.2966061711], + ["Se2-", "N1+", 0.0685341868], + ["N1+", "Se2-", 0.0685341868], + ["Se2-", "O1-", 0.3545044746], + ["O1-", "Se2-", 0.3545044746], + ["Se2-", "F1-", 0.6030688195], + ["F1-", "Se2-", 0.6030688195], + ["Se2-", "Na1+", 0.1406825731], + ["Na1+", "Se2-", 0.1406825731], + ["Se2-", "Si1-", 0.3105428787], + ["Si1-", "Se2-", 0.3105428787], + ["Se2-", "P1+", 0.1659393805], + ["P1+", "Se2-", 0.1659393805], + ["Se2-", "P1-", 0.2868405454], + ["P1-", "Se2-", 0.2868405454], + ["Se2-", "S1-", 0.3668653243], + ["S1-", "Se2-", 0.3668653243], + ["Se2-", "S1+", 0.0523139353], + ["S1+", "Se2-", 0.0523139353], + ["Se2-", "Cl1-", 0.5798093269], + ["Cl1-", "Se2-", 0.5798093269], + ["Se2-", "K1+", 0.2310156454], + ["K1+", "Se2-", 0.2310156454], + ["Se2-", "Sc1+", 0.084762202], + ["Sc1+", "Se2-", 0.084762202], + ["Se2-", "Mn1+", 0.1083853542], + ["Mn1+", "Se2-", 0.1083853542], + ["Se2-", "Fe1+", -0.2094453401], + ["Fe1+", "Se2-", -0.2094453401], + ["Se2-", "Co1+", -0.1713444216], + ["Co1+", "Se2-", -0.1713444216], + ["Se2-", "Ni1+", -0.1683811372], + ["Ni1+", "Se2-", -0.1683811372], + ["Se2-", "Cu1+", 0.2931648182], + ["Cu1+", "Se2-", 0.2931648182], + ["Se2-", "Ga1+", 0.0568397125], + ["Ga1+", "Se2-", 0.0568397125], + ["Se2-", "As1-", 0.4701247114], + ["As1-", "Se2-", 0.4701247114], + ["Se2-", "As1+", 0.2559294498], + ["As1+", "Se2-", 0.2559294498], + ["Se2-", "Se1-", 0.550991535], + ["Se1-", "Se2-", 0.550991535], + ["Se2-", "Se1+", 0.1538249803], + ["Se1+", "Se2-", 0.1538249803], + ["Se2-", "Br1-", 0.6193199469], + ["Br1-", "Se2-", 0.6193199469], + ["Se2-", "Br1+", 0.1535307628], + ["Br1+", "Se2-", 0.1535307628], + ["Se2-", "Rb1+", 0.19833181], + ["Rb1+", "Se2-", 0.19833181], + ["Se2-", "Y1+", -0.0885784169], + ["Y1+", "Se2-", -0.0885784169], + ["Se2-", "Zr1+", -0.1171111152], + ["Zr1+", "Se2-", -0.1171111152], + ["Se2-", "Nb1+", -0.08315637], + ["Nb1+", "Se2-", -0.08315637], + ["Se2-", "Tc1-", 0.1932905023], + ["Tc1-", "Se2-", 0.1932905023], + ["Se2-", "Tc1+", -0.0055302182], + ["Tc1+", "Se2-", -0.0055302182], + ["Se2-", "Rh1+", 0.0910904167], + ["Rh1+", "Se2-", 0.0910904167], + ["Se2-", "Ag1+", 0.380177029], + ["Ag1+", "Se2-", 0.380177029], + ["Se2-", "In1+", 0.2566103914], + ["In1+", "Se2-", 0.2566103914], + ["Se2-", "Sb1-", 0.3530918004], + ["Sb1-", "Se2-", 0.3530918004], + ["Se2-", "Sb1+", 0.104411053], + ["Sb1+", "Se2-", 0.104411053], + ["Se2-", "Te1-", 0.5118060364], + ["Te1-", "Se2-", 0.5118060364], + ["Se2-", "Te1+", 0.2244085134], + ["Te1+", "Se2-", 0.2244085134], + ["Se2-", "I1-", 0.5149989428], + ["I1-", "Se2-", 0.5149989428], + ["Se2-", "I1+", 0.1229980911], + ["I1+", "Se2-", 0.1229980911], + ["Se2-", "Cs1+", 0.2501966084], + ["Cs1+", "Se2-", 0.2501966084], + ["Se2-", "La1+", -0.0000594775], + ["La1+", "Se2-", -0.0000594775], + ["Se2-", "Tb1+", 0.0442355047], + ["Tb1+", "Se2-", 0.0442355047], + ["Se2-", "Ta1+", 0.0870709267], + ["Ta1+", "Se2-", 0.0870709267], + ["Se2-", "Os1-", 0.3112386036], + ["Os1-", "Se2-", 0.3112386036], + ["Se2-", "Os1+", -0.0499062579], + ["Os1+", "Se2-", -0.0499062579], + ["Se2-", "Pt1-", 0.460607518], + ["Pt1-", "Se2-", 0.460607518], + ["Se2-", "Pt1+", -0.0848162045], + ["Pt1+", "Se2-", -0.0848162045], + ["Se2-", "Au1-", 0.0922315327], + ["Au1-", "Se2-", 0.0922315327], + ["Se2-", "Au1+", 0.2674625121], + ["Au1+", "Se2-", 0.2674625121], + ["Se2-", "Hg1+", 0.1037039749], + ["Hg1+", "Se2-", 0.1037039749], + ["Se2-", "Tl1+", 0.4476319224], + ["Tl1+", "Se2-", 0.4476319224], + ["Se2-", "Bi1+", 0.1357617215], + ["Bi1+", "Se2-", 0.1357617215], + ["Se4+", "Se4+", 1.0], + ["Se4+", "Se6+", 0.5435777157], + ["Se6+", "Se4+", 0.5435777157], + ["Se4+", "Se5+", 0.6068359609], + ["Se5+", "Se4+", 0.6068359609], + ["Se4+", "Se2+", 0.307231428], + ["Se2+", "Se4+", 0.307231428], + ["Se4+", "Se3+", 0.4220195035], + ["Se3+", "Se4+", 0.4220195035], + ["Se4+", "Br2+", 0.242207308], + ["Br2+", "Se4+", 0.242207308], + ["Se4+", "Br5+", 0.5381950982], + ["Br5+", "Se4+", 0.5381950982], + ["Se4+", "Br3+", 0.459911208], + ["Br3+", "Se4+", 0.459911208], + ["Se4+", "Sr2+", 0.5106151786], + ["Sr2+", "Se4+", 0.5106151786], + ["Se4+", "Y3+", 0.3907140166], + ["Y3+", "Se4+", 0.3907140166], + ["Se4+", "Y2+", 0.4330881517], + ["Y2+", "Se4+", 0.4330881517], + ["Se4+", "Zr2+", 0.0147239543], + ["Zr2+", "Se4+", 0.0147239543], + ["Se4+", "Zr4+", 0.2540067823], + ["Zr4+", "Se4+", 0.2540067823], + ["Se4+", "Zr3+", 0.1698829538], + ["Zr3+", "Se4+", 0.1698829538], + ["Se4+", "Nb5+", 0.4886116797], + ["Nb5+", "Se4+", 0.4886116797], + ["Se4+", "Nb3+", 0.1660041475], + ["Nb3+", "Se4+", 0.1660041475], + ["Se4+", "Nb4+", 0.2125958321], + ["Nb4+", "Se4+", 0.2125958321], + ["Se4+", "Nb2+", 0.1995319592], + ["Nb2+", "Se4+", 0.1995319592], + ["Se4+", "Nb7+", 0.4542414923], + ["Nb7+", "Se4+", 0.4542414923], + ["Se4+", "Mo3+", 0.2119332433], + ["Mo3+", "Se4+", 0.2119332433], + ["Se4+", "Mo4+", 0.3267981508], + ["Mo4+", "Se4+", 0.3267981508], + ["Se4+", "Mo6+", 0.5202657089], + ["Mo6+", "Se4+", 0.5202657089], + ["Se4+", "Mo5+", 0.6141511537], + ["Mo5+", "Se4+", 0.6141511537], + ["Se4+", "Mo2+", 0.1831027241], + ["Mo2+", "Se4+", 0.1831027241], + ["Se4+", "Tc4+", 0.3890751775], + ["Tc4+", "Se4+", 0.3890751775], + ["Se4+", "Tc3-", -0.2533579364], + ["Tc3-", "Se4+", -0.2533579364], + ["Se4+", "Tc3+", 0.1015989041], + ["Tc3+", "Se4+", 0.1015989041], + ["Se4+", "Tc7+", 0.2348770727], + ["Tc7+", "Se4+", 0.2348770727], + ["Se4+", "Tc5+", 0.5252615197], + ["Tc5+", "Se4+", 0.5252615197], + ["Se4+", "Tc6+", -0.1194676396], + ["Tc6+", "Se4+", -0.1194676396], + ["Se4+", "Tc2-", -0.1834154196], + ["Tc2-", "Se4+", -0.1834154196], + ["Se4+", "Tc2+", 0.381952463], + ["Tc2+", "Se4+", 0.381952463], + ["Se4+", "Ru2+", -0.0831586811], + ["Ru2+", "Se4+", -0.0831586811], + ["Se4+", "Ru6+", 0.2902328574], + ["Ru6+", "Se4+", 0.2902328574], + ["Se4+", "Ru4+", 0.5051775603], + ["Ru4+", "Se4+", 0.5051775603], + ["Se4+", "Ru5+", 0.3262711263], + ["Ru5+", "Se4+", 0.3262711263], + ["Se4+", "Ru3+", 0.2460241042], + ["Ru3+", "Se4+", 0.2460241042], + ["Se4+", "Rh4+", 0.2171892478], + ["Rh4+", "Se4+", 0.2171892478], + ["Se4+", "Rh3+", 0.1297604184], + ["Rh3+", "Se4+", 0.1297604184], + ["Se4+", "Pd2+", -0.0027514805], + ["Pd2+", "Se4+", -0.0027514805], + ["Se4+", "Pd4+", 0.0194569786], + ["Pd4+", "Se4+", 0.0194569786], + ["Se4+", "Pd3+", -0.0385167869], + ["Pd3+", "Se4+", -0.0385167869], + ["Se4+", "Ag3+", 0.3657439392], + ["Ag3+", "Se4+", 0.3657439392], + ["Se4+", "Ag2+", 0.2802519544], + ["Ag2+", "Se4+", 0.2802519544], + ["Se4+", "Cd2+", 0.3128844051], + ["Cd2+", "Se4+", 0.3128844051], + ["Se4+", "In3+", 0.3368973408], + ["In3+", "Se4+", 0.3368973408], + ["Se4+", "In2+", -0.0290074233], + ["In2+", "Se4+", -0.0290074233], + ["Se4+", "Sn4+", 0.3348904304], + ["Sn4+", "Se4+", 0.3348904304], + ["Se4+", "Sn3+", 0.3501887768], + ["Sn3+", "Se4+", 0.3501887768], + ["Se4+", "Sn2+", 0.2942818965], + ["Sn2+", "Se4+", 0.2942818965], + ["Se4+", "Sb5+", 0.5861263477], + ["Sb5+", "Se4+", 0.5861263477], + ["Se4+", "Sb2-", -0.0228267013], + ["Sb2-", "Se4+", -0.0228267013], + ["Se4+", "Sb3-", -0.1318595137], + ["Sb3-", "Se4+", -0.1318595137], + ["Se4+", "Sb3+", 0.1875050579], + ["Sb3+", "Se4+", 0.1875050579], + ["Se4+", "Sb4+", 0.548147086], + ["Sb4+", "Se4+", 0.548147086], + ["Se4+", "Te2-", 0.1855335778], + ["Te2-", "Se4+", 0.1855335778], + ["Se4+", "Te4+", 0.68725158], + ["Te4+", "Se4+", 0.68725158], + ["Se4+", "Te6+", 0.5340923311], + ["Te6+", "Se4+", 0.5340923311], + ["Se4+", "Te2+", 0.0984616521], + ["Te2+", "Se4+", 0.0984616521], + ["Se4+", "Te5+", 0.4255726214], + ["Te5+", "Se4+", 0.4255726214], + ["Se4+", "I3+", 0.5187669624], + ["I3+", "Se4+", 0.5187669624], + ["Se4+", "I7+", 0.4329586067], + ["I7+", "Se4+", 0.4329586067], + ["Se4+", "I5+", 0.6417668265], + ["I5+", "Se4+", 0.6417668265], + ["Se4+", "I2+", 0.329542721], + ["I2+", "Se4+", 0.329542721], + ["Se4+", "Ba2+", 0.3577291104], + ["Ba2+", "Se4+", 0.3577291104], + ["Se4+", "La3+", 0.3815767515], + ["La3+", "Se4+", 0.3815767515], + ["Se4+", "La2+", 0.2948162418], + ["La2+", "Se4+", 0.2948162418], + ["Se4+", "Ce3+", -0.023525806], + ["Ce3+", "Se4+", -0.023525806], + ["Se4+", "Ce2+", -0.0091817963], + ["Ce2+", "Se4+", -0.0091817963], + ["Se4+", "Ce4+", 0.1989576157], + ["Ce4+", "Se4+", 0.1989576157], + ["Se4+", "Pr3+", 0.2080518274], + ["Pr3+", "Se4+", 0.2080518274], + ["Se4+", "Pr4+", 0.2110704849], + ["Pr4+", "Se4+", 0.2110704849], + ["Se4+", "Pr2+", 0.2216851366], + ["Pr2+", "Se4+", 0.2216851366], + ["Se4+", "Nd3+", 0.2803344057], + ["Nd3+", "Se4+", 0.2803344057], + ["Se4+", "Nd2+", 0.334489146], + ["Nd2+", "Se4+", 0.334489146], + ["Se4+", "Pm3+", 0.07162556], + ["Pm3+", "Se4+", 0.07162556], + ["Se4+", "Sm3+", 0.1972926761], + ["Sm3+", "Se4+", 0.1972926761], + ["Se4+", "Sm2+", 0.0206146143], + ["Sm2+", "Se4+", 0.0206146143], + ["Se4+", "Eu2+", 0.2087075327], + ["Eu2+", "Se4+", 0.2087075327], + ["Se4+", "Eu3+", 0.4729651297], + ["Eu3+", "Se4+", 0.4729651297], + ["Se4+", "Gd2+", 0.1917016574], + ["Gd2+", "Se4+", 0.1917016574], + ["Se4+", "Gd3+", 0.3388150408], + ["Gd3+", "Se4+", 0.3388150408], + ["Se4+", "Tb3+", 0.2008677567], + ["Tb3+", "Se4+", 0.2008677567], + ["Se4+", "Tb2+", 0.0687997455], + ["Tb2+", "Se4+", 0.0687997455], + ["Se4+", "Tb4+", 0.2323927444], + ["Tb4+", "Se4+", 0.2323927444], + ["Se4+", "Dy3+", 0.2055610623], + ["Dy3+", "Se4+", 0.2055610623], + ["Se4+", "Dy2+", 0.2361428344], + ["Dy2+", "Se4+", 0.2361428344], + ["Se4+", "Ho3+", 0.1845840737], + ["Ho3+", "Se4+", 0.1845840737], + ["Se4+", "Ho2+", 0.1534090916], + ["Ho2+", "Se4+", 0.1534090916], + ["Se4+", "Er3+", 0.111239378], + ["Er3+", "Se4+", 0.111239378], + ["Se4+", "Tm3+", 0.1931078077], + ["Tm3+", "Se4+", 0.1931078077], + ["Se4+", "Tm2+", 0.126250971], + ["Tm2+", "Se4+", 0.126250971], + ["Se4+", "Yb3+", 0.1783853367], + ["Yb3+", "Se4+", 0.1783853367], + ["Se4+", "Yb2+", -0.1510524632], + ["Yb2+", "Se4+", -0.1510524632], + ["Se4+", "Lu3+", 0.0974355637], + ["Lu3+", "Se4+", 0.0974355637], + ["Se4+", "Hf3+", -0.0054865424], + ["Hf3+", "Se4+", -0.0054865424], + ["Se4+", "Hf2+", 0.1708525429], + ["Hf2+", "Se4+", 0.1708525429], + ["Se4+", "Hf4+", 0.2856078569], + ["Hf4+", "Se4+", 0.2856078569], + ["Se4+", "Ta5+", 0.4957006625], + ["Ta5+", "Se4+", 0.4957006625], + ["Se4+", "Ta3+", -0.080595436], + ["Ta3+", "Se4+", -0.080595436], + ["Se4+", "Ta4+", 0.1648965485], + ["Ta4+", "Se4+", 0.1648965485], + ["Se4+", "Ta2+", -0.1675233622], + ["Ta2+", "Se4+", -0.1675233622], + ["Se4+", "W6+", 0.6095123415], + ["W6+", "Se4+", 0.6095123415], + ["Se4+", "W4+", 0.4510948956], + ["W4+", "Se4+", 0.4510948956], + ["Se4+", "W2+", 0.3017330763], + ["W2+", "Se4+", 0.3017330763], + ["Se4+", "W3+", 0.3680439585], + ["W3+", "Se4+", 0.3680439585], + ["Se4+", "W5+", 0.5802277294], + ["W5+", "Se4+", 0.5802277294], + ["Se4+", "Re5+", 0.3139496779], + ["Re5+", "Se4+", 0.3139496779], + ["Se4+", "Re3+", -0.0782784934], + ["Re3+", "Se4+", -0.0782784934], + ["Se4+", "Re6+", 0.1831268701], + ["Re6+", "Se4+", 0.1831268701], + ["Se4+", "Re2+", 0.3742315792], + ["Re2+", "Se4+", 0.3742315792], + ["Se4+", "Re4+", 0.1249418902], + ["Re4+", "Se4+", 0.1249418902], + ["Se4+", "Re7+", 0.2525095992], + ["Re7+", "Se4+", 0.2525095992], + ["Se4+", "Os7+", 0.2183394695], + ["Os7+", "Se4+", 0.2183394695], + ["Se4+", "Os6+", 0.1639381787], + ["Os6+", "Se4+", 0.1639381787], + ["Se4+", "Os5+", 0.0835762035], + ["Os5+", "Se4+", 0.0835762035], + ["Se4+", "Os2-", -0.3246858894], + ["Os2-", "Se4+", -0.3246858894], + ["Se4+", "Os3+", 0.0569693975], + ["Os3+", "Se4+", 0.0569693975], + ["Se4+", "Os4+", 0.2292944262], + ["Os4+", "Se4+", 0.2292944262], + ["Se4+", "Os8+", 0.1564423172], + ["Os8+", "Se4+", 0.1564423172], + ["Se4+", "Os2+", 0.3928062584], + ["Os2+", "Se4+", 0.3928062584], + ["Se4+", "Ir3+", -0.032650271], + ["Ir3+", "Se4+", -0.032650271], + ["Se4+", "Ir4+", 0.239942361], + ["Ir4+", "Se4+", 0.239942361], + ["Se4+", "Ir5+", 0.2337057505], + ["Ir5+", "Se4+", 0.2337057505], + ["Se4+", "Ir6+", 0.4089566418], + ["Ir6+", "Se4+", 0.4089566418], + ["Se4+", "Pt2+", 0.1629691787], + ["Pt2+", "Se4+", 0.1629691787], + ["Se4+", "Pt2-", -0.261587127], + ["Pt2-", "Se4+", -0.261587127], + ["Se4+", "Pt4+", 0.3403689183], + ["Pt4+", "Se4+", 0.3403689183], + ["Se4+", "Pt3+", 0.3442187666], + ["Pt3+", "Se4+", 0.3442187666], + ["Se4+", "Pt5+", 0.1042652339], + ["Pt5+", "Se4+", 0.1042652339], + ["Se4+", "Pt6+", 0.3360363579], + ["Pt6+", "Se4+", 0.3360363579], + ["Se4+", "Au2+", 0.0665347117], + ["Au2+", "Se4+", 0.0665347117], + ["Se4+", "Au3+", 0.2598160187], + ["Au3+", "Se4+", 0.2598160187], + ["Se4+", "Au5+", 0.0645773099], + ["Au5+", "Se4+", 0.0645773099], + ["Se4+", "Au4+", 0.0281111413], + ["Au4+", "Se4+", 0.0281111413], + ["Se4+", "Hg2+", 0.2468809566], + ["Hg2+", "Se4+", 0.2468809566], + ["Se4+", "Tl3+", 0.4824286623], + ["Tl3+", "Se4+", 0.4824286623], + ["Se4+", "Tl2+", 0.2732234835], + ["Tl2+", "Se4+", 0.2732234835], + ["Se4+", "Pb2+", 0.3893871635], + ["Pb2+", "Se4+", 0.3893871635], + ["Se4+", "Pb3+", 0.539731271], + ["Pb3+", "Se4+", 0.539731271], + ["Se4+", "Pb4+", 0.5027205521], + ["Pb4+", "Se4+", 0.5027205521], + ["Se4+", "Bi3+", 0.5344281922], + ["Bi3+", "Se4+", 0.5344281922], + ["Se4+", "Bi5+", 0.6180023657], + ["Bi5+", "Se4+", 0.6180023657], + ["Se4+", "Bi2+", 0.4416283945], + ["Bi2+", "Se4+", 0.4416283945], + ["Se4+", "Bi3-", 0.0493680593], + ["Bi3-", "Se4+", 0.0493680593], + ["Se4+", "Bi4+", 0.3825251079], + ["Bi4+", "Se4+", 0.3825251079], + ["Se4+", "Ac3+", 0.1275257477], + ["Ac3+", "Se4+", 0.1275257477], + ["Se4+", "Th4+", -0.0179822481], + ["Th4+", "Se4+", -0.0179822481], + ["Se4+", "Th3+", -0.1447320284], + ["Th3+", "Se4+", -0.1447320284], + ["Se4+", "Pa4+", 0.2982509032], + ["Pa4+", "Se4+", 0.2982509032], + ["Se4+", "Pa5+", 0.4913952721], + ["Pa5+", "Se4+", 0.4913952721], + ["Se4+", "Pa3+", -0.0307236683], + ["Pa3+", "Se4+", -0.0307236683], + ["Se4+", "U6+", 0.5137961684], + ["U6+", "Se4+", 0.5137961684], + ["Se4+", "U4+", -0.1220357203], + ["U4+", "Se4+", -0.1220357203], + ["Se4+", "U3+", -0.2922837671], + ["U3+", "Se4+", -0.2922837671], + ["Se4+", "U2+", -0.1241729751], + ["U2+", "Se4+", -0.1241729751], + ["Se4+", "U5+", 0.2828515839], + ["U5+", "Se4+", 0.2828515839], + ["Se4+", "Np6+", 0.1887596527], + ["Np6+", "Se4+", 0.1887596527], + ["Se4+", "Np4+", 0.0337358666], + ["Np4+", "Se4+", 0.0337358666], + ["Se4+", "Np3+", -0.0186024902], + ["Np3+", "Se4+", -0.0186024902], + ["Se4+", "Np7+", 0.5465830722], + ["Np7+", "Se4+", 0.5465830722], + ["Se4+", "Np5+", 0.222492397], + ["Np5+", "Se4+", 0.222492397], + ["Se4+", "Pu7+", 0.5801792446], + ["Pu7+", "Se4+", 0.5801792446], + ["Se4+", "Pu6+", 0.3411503803], + ["Pu6+", "Se4+", 0.3411503803], + ["Se4+", "Pu3+", 0.1302743147], + ["Pu3+", "Se4+", 0.1302743147], + ["Se4+", "Pu4+", 0.3139636882], + ["Pu4+", "Se4+", 0.3139636882], + ["Se4+", "Pu5+", 0.4579740465], + ["Pu5+", "Se4+", 0.4579740465], + ["Se4+", "H1+", 0.5216385979], + ["H1+", "Se4+", 0.5216385979], + ["Se4+", "H1-", 0.0959914028], + ["H1-", "Se4+", 0.0959914028], + ["Se4+", "Li1+", 0.4182751781], + ["Li1+", "Se4+", 0.4182751781], + ["Se4+", "B1+", 0.2890691233], + ["B1+", "Se4+", 0.2890691233], + ["Se4+", "B1-", -0.0676911358], + ["B1-", "Se4+", -0.0676911358], + ["Se4+", "C1-", 0.0714714583], + ["C1-", "Se4+", 0.0714714583], + ["Se4+", "C1+", 0.3581717335], + ["C1+", "Se4+", 0.3581717335], + ["Se4+", "N1-", 0.211759053], + ["N1-", "Se4+", 0.211759053], + ["Se4+", "N1+", 0.3496438101], + ["N1+", "Se4+", 0.3496438101], + ["Se4+", "O1-", 0.3359190226], + ["O1-", "Se4+", 0.3359190226], + ["Se4+", "F1-", 0.0986112714], + ["F1-", "Se4+", 0.0986112714], + ["Se4+", "Na1+", 0.5918609445], + ["Na1+", "Se4+", 0.5918609445], + ["Se4+", "Si1-", 0.0285827944], + ["Si1-", "Se4+", 0.0285827944], + ["Se4+", "P1+", -0.0754658675], + ["P1+", "Se4+", -0.0754658675], + ["Se4+", "P1-", 0.0396546731], + ["P1-", "Se4+", 0.0396546731], + ["Se4+", "S1-", 0.0192661196], + ["S1-", "Se4+", 0.0192661196], + ["Se4+", "S1+", 0.2995991998], + ["S1+", "Se4+", 0.2995991998], + ["Se4+", "Cl1-", 0.1450852812], + ["Cl1-", "Se4+", 0.1450852812], + ["Se4+", "K1+", 0.3739047879], + ["K1+", "Se4+", 0.3739047879], + ["Se4+", "Sc1+", 0.0697562219], + ["Sc1+", "Se4+", 0.0697562219], + ["Se4+", "Mn1+", 0.2466147436], + ["Mn1+", "Se4+", 0.2466147436], + ["Se4+", "Fe1+", -0.0855493589], + ["Fe1+", "Se4+", -0.0855493589], + ["Se4+", "Co1+", -0.0268301278], + ["Co1+", "Se4+", -0.0268301278], + ["Se4+", "Ni1+", -0.1393729019], + ["Ni1+", "Se4+", -0.1393729019], + ["Se4+", "Cu1+", 0.0172542186], + ["Cu1+", "Se4+", 0.0172542186], + ["Se4+", "Ga1+", -0.0108201744], + ["Ga1+", "Se4+", -0.0108201744], + ["Se4+", "As1-", -0.0746535265], + ["As1-", "Se4+", -0.0746535265], + ["Se4+", "As1+", 0.1211508976], + ["As1+", "Se4+", 0.1211508976], + ["Se4+", "Se1-", 0.0133535138], + ["Se1-", "Se4+", 0.0133535138], + ["Se4+", "Se1+", 0.5230763302], + ["Se1+", "Se4+", 0.5230763302], + ["Se4+", "Br1-", 0.1222609144], + ["Br1-", "Se4+", 0.1222609144], + ["Se4+", "Br1+", 0.2478972199], + ["Br1+", "Se4+", 0.2478972199], + ["Se4+", "Rb1+", 0.3971806437], + ["Rb1+", "Se4+", 0.3971806437], + ["Se4+", "Y1+", 0.0845969942], + ["Y1+", "Se4+", 0.0845969942], + ["Se4+", "Zr1+", -0.2757086994], + ["Zr1+", "Se4+", -0.2757086994], + ["Se4+", "Nb1+", -0.0713888689], + ["Nb1+", "Se4+", -0.0713888689], + ["Se4+", "Tc1-", -0.0331342478], + ["Tc1-", "Se4+", -0.0331342478], + ["Se4+", "Tc1+", 0.1602927582], + ["Tc1+", "Se4+", 0.1602927582], + ["Se4+", "Rh1+", -0.1272488469], + ["Rh1+", "Se4+", -0.1272488469], + ["Se4+", "Ag1+", 0.2298427136], + ["Ag1+", "Se4+", 0.2298427136], + ["Se4+", "In1+", 0.0929758191], + ["In1+", "Se4+", 0.0929758191], + ["Se4+", "Sb1-", 0.0163288378], + ["Sb1-", "Se4+", 0.0163288378], + ["Se4+", "Sb1+", 0.0365247318], + ["Sb1+", "Se4+", 0.0365247318], + ["Se4+", "Te1-", 0.1524928719], + ["Te1-", "Se4+", 0.1524928719], + ["Se4+", "Te1+", 0.1858133266], + ["Te1+", "Se4+", 0.1858133266], + ["Se4+", "I1-", 0.1377025268], + ["I1-", "Se4+", 0.1377025268], + ["Se4+", "I1+", 0.3702975798], + ["I1+", "Se4+", 0.3702975798], + ["Se4+", "Cs1+", 0.2999777114], + ["Cs1+", "Se4+", 0.2999777114], + ["Se4+", "La1+", 0.0799830613], + ["La1+", "Se4+", 0.0799830613], + ["Se4+", "Tb1+", -0.0061426732], + ["Tb1+", "Se4+", -0.0061426732], + ["Se4+", "Ta1+", -0.2773123128], + ["Ta1+", "Se4+", -0.2773123128], + ["Se4+", "Os1-", -0.2618985108], + ["Os1-", "Se4+", -0.2618985108], + ["Se4+", "Os1+", 0.1406244757], + ["Os1+", "Se4+", 0.1406244757], + ["Se4+", "Pt1-", -0.2345178919], + ["Pt1-", "Se4+", -0.2345178919], + ["Se4+", "Pt1+", 0.1363281232], + ["Pt1+", "Se4+", 0.1363281232], + ["Se4+", "Au1-", -0.1190093072], + ["Au1-", "Se4+", -0.1190093072], + ["Se4+", "Au1+", 0.0381811642], + ["Au1+", "Se4+", 0.0381811642], + ["Se4+", "Hg1+", 0.5853753485], + ["Hg1+", "Se4+", 0.5853753485], + ["Se4+", "Tl1+", 0.3049815676], + ["Tl1+", "Se4+", 0.3049815676], + ["Se4+", "Bi1+", 0.2664172273], + ["Bi1+", "Se4+", 0.2664172273], + ["Se6+", "Se6+", 1.0], + ["Se6+", "Se5+", 0.6501666415], + ["Se5+", "Se6+", 0.6501666415], + ["Se6+", "Se2+", 0.1121424626], + ["Se2+", "Se6+", 0.1121424626], + ["Se6+", "Se3+", 0.2432291322], + ["Se3+", "Se6+", 0.2432291322], + ["Se6+", "Br2+", 0.110319181], + ["Br2+", "Se6+", 0.110319181], + ["Se6+", "Br5+", 0.4739479475], + ["Br5+", "Se6+", 0.4739479475], + ["Se6+", "Br3+", 0.3646448877], + ["Br3+", "Se6+", 0.3646448877], + ["Se6+", "Sr2+", 0.315503197], + ["Sr2+", "Se6+", 0.315503197], + ["Se6+", "Y3+", 0.2769101593], + ["Y3+", "Se6+", 0.2769101593], + ["Se6+", "Y2+", 0.4537991633], + ["Y2+", "Se6+", 0.4537991633], + ["Se6+", "Zr2+", -0.30426755], + ["Zr2+", "Se6+", -0.30426755], + ["Se6+", "Zr4+", 0.3269496391], + ["Zr4+", "Se6+", 0.3269496391], + ["Se6+", "Zr3+", -0.1523466749], + ["Zr3+", "Se6+", -0.1523466749], + ["Se6+", "Nb5+", 0.4860130554], + ["Nb5+", "Se6+", 0.4860130554], + ["Se6+", "Nb3+", -0.0556070536], + ["Nb3+", "Se6+", -0.0556070536], + ["Se6+", "Nb4+", 0.2313441736], + ["Nb4+", "Se6+", 0.2313441736], + ["Se6+", "Nb2+", -0.088784402], + ["Nb2+", "Se6+", -0.088784402], + ["Se6+", "Nb7+", 0.4526497529], + ["Nb7+", "Se6+", 0.4526497529], + ["Se6+", "Mo3+", 0.0636735797], + ["Mo3+", "Se6+", 0.0636735797], + ["Se6+", "Mo4+", 0.1969988545], + ["Mo4+", "Se6+", 0.1969988545], + ["Se6+", "Mo6+", 0.3655828459], + ["Mo6+", "Se6+", 0.3655828459], + ["Se6+", "Mo5+", 0.364842937], + ["Mo5+", "Se6+", 0.364842937], + ["Se6+", "Mo2+", -0.0519140016], + ["Mo2+", "Se6+", -0.0519140016], + ["Se6+", "Tc4+", 0.1648529946], + ["Tc4+", "Se6+", 0.1648529946], + ["Se6+", "Tc3-", -0.1278224878], + ["Tc3-", "Se6+", -0.1278224878], + ["Se6+", "Tc3+", -0.0229222143], + ["Tc3+", "Se6+", -0.0229222143], + ["Se6+", "Tc7+", 0.3267472796], + ["Tc7+", "Se6+", 0.3267472796], + ["Se6+", "Tc5+", 0.3111006379], + ["Tc5+", "Se6+", 0.3111006379], + ["Se6+", "Tc6+", 0.0251432583], + ["Tc6+", "Se6+", 0.0251432583], + ["Se6+", "Tc2-", -0.1621690167], + ["Tc2-", "Se6+", 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0.2711833845], + ["In3+", "Se6+", 0.2711833845], + ["Se6+", "In2+", -0.0450318809], + ["In2+", "Se6+", -0.0450318809], + ["Se6+", "Sn4+", 0.2882030516], + ["Sn4+", "Se6+", 0.2882030516], + ["Se6+", "Sn3+", 0.2999809142], + ["Sn3+", "Se6+", 0.2999809142], + ["Se6+", "Sn2+", 0.1079928005], + ["Sn2+", "Se6+", 0.1079928005], + ["Se6+", "Sb5+", 0.4719402524], + ["Sb5+", "Se6+", 0.4719402524], + ["Se6+", "Sb2-", 0.0272551001], + ["Sb2-", "Se6+", 0.0272551001], + ["Se6+", "Sb3-", -0.056482139], + ["Sb3-", "Se6+", -0.056482139], + ["Se6+", "Sb3+", 0.1932986566], + ["Sb3+", "Se6+", 0.1932986566], + ["Se6+", "Sb4+", 0.4901012506], + ["Sb4+", "Se6+", 0.4901012506], + ["Se6+", "Te2-", 0.1310567368], + ["Te2-", "Se6+", 0.1310567368], + ["Se6+", "Te4+", 0.4032977543], + ["Te4+", "Se6+", 0.4032977543], + ["Se6+", "Te6+", 0.4763827865], + ["Te6+", "Se6+", 0.4763827865], + ["Se6+", "Te2+", -0.0516880713], + ["Te2+", "Se6+", -0.0516880713], + ["Se6+", "Te5+", 0.3793580105], + ["Te5+", "Se6+", 0.3793580105], + ["Se6+", "I3+", 0.3392678579], + ["I3+", "Se6+", 0.3392678579], + ["Se6+", "I7+", 0.3737817755], + ["I7+", "Se6+", 0.3737817755], + ["Se6+", "I5+", 0.6025129478], + ["I5+", "Se6+", 0.6025129478], + ["Se6+", "I2+", 0.3847682665], + ["I2+", "Se6+", 0.3847682665], + ["Se6+", "Ba2+", 0.2517162102], + ["Ba2+", "Se6+", 0.2517162102], + ["Se6+", "La3+", 0.2066570771], + ["La3+", "Se6+", 0.2066570771], + ["Se6+", "La2+", 0.099763746], + ["La2+", "Se6+", 0.099763746], + ["Se6+", "Ce3+", -0.0561187008], + ["Ce3+", "Se6+", -0.0561187008], + ["Se6+", "Ce2+", -0.1026593573], + ["Ce2+", "Se6+", -0.1026593573], + ["Se6+", "Ce4+", 0.204262344], + ["Ce4+", "Se6+", 0.204262344], + ["Se6+", "Pr3+", -0.0368757665], + ["Pr3+", "Se6+", -0.0368757665], + ["Se6+", "Pr4+", 0.3085983928], + ["Pr4+", "Se6+", 0.3085983928], + ["Se6+", "Pr2+", 0.0217256858], + ["Pr2+", "Se6+", 0.0217256858], + ["Se6+", "Nd3+", 0.0730686712], + ["Nd3+", "Se6+", 0.0730686712], + ["Se6+", "Nd2+", 0.1493336302], + 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"Er3+", 0.0539448686], + ["Er3+", "Se6+", 0.0539448686], + ["Se6+", "Tm3+", 0.1975742139], + ["Tm3+", "Se6+", 0.1975742139], + ["Se6+", "Tm2+", -0.1906295749], + ["Tm2+", "Se6+", -0.1906295749], + ["Se6+", "Yb3+", 0.1611279305], + ["Yb3+", "Se6+", 0.1611279305], + ["Se6+", "Yb2+", -0.1878318578], + ["Yb2+", "Se6+", -0.1878318578], + ["Se6+", "Lu3+", 0.1058676547], + ["Lu3+", "Se6+", 0.1058676547], + ["Se6+", "Hf3+", -0.1895167282], + ["Hf3+", "Se6+", -0.1895167282], + ["Se6+", "Hf2+", 0.1648158836], + ["Hf2+", "Se6+", 0.1648158836], + ["Se6+", "Hf4+", 0.2920808695], + ["Hf4+", "Se6+", 0.2920808695], + ["Se6+", "Ta5+", 0.4626642999], + ["Ta5+", "Se6+", 0.4626642999], + ["Se6+", "Ta3+", -0.1765275837], + ["Ta3+", "Se6+", -0.1765275837], + ["Se6+", "Ta4+", 0.1827339743], + ["Ta4+", "Se6+", 0.1827339743], + ["Se6+", "Ta2+", -0.1970280171], + ["Ta2+", "Se6+", -0.1970280171], + ["Se6+", "W6+", 0.5399275888], + ["W6+", "Se6+", 0.5399275888], + ["Se6+", "W4+", 0.2679539478], + ["W4+", "Se6+", 0.2679539478], + ["Se6+", "W2+", 0.0387310698], + ["W2+", "Se6+", 0.0387310698], + ["Se6+", "W3+", 0.2163574649], + ["W3+", "Se6+", 0.2163574649], + ["Se6+", "W5+", 0.4071010709], + ["W5+", "Se6+", 0.4071010709], + ["Se6+", "Re5+", 0.2679932749], + ["Re5+", "Se6+", 0.2679932749], + ["Se6+", "Re3+", -0.2652302496], + ["Re3+", "Se6+", -0.2652302496], + ["Se6+", "Re6+", 0.2102291359], + ["Re6+", "Se6+", 0.2102291359], + ["Se6+", "Re2+", 0.2485733327], + ["Re2+", "Se6+", 0.2485733327], + ["Se6+", "Re4+", -0.0398486654], + ["Re4+", "Se6+", -0.0398486654], + ["Se6+", "Re7+", 0.2583696958], + ["Re7+", "Se6+", 0.2583696958], + ["Se6+", "Os7+", 0.4097752665], + ["Os7+", "Se6+", 0.4097752665], + ["Se6+", "Os6+", 0.1737050687], + ["Os6+", "Se6+", 0.1737050687], + ["Se6+", "Os5+", 0.2070364053], + ["Os5+", "Se6+", 0.2070364053], + ["Se6+", "Os2-", -0.2527207033], + ["Os2-", "Se6+", -0.2527207033], + ["Se6+", "Os3+", 0.0647375771], + ["Os3+", "Se6+", 0.0647375771], + ["Se6+", "Os4+", 0.0756343007], + ["Os4+", "Se6+", 0.0756343007], + ["Se6+", "Os8+", 0.1772808018], + ["Os8+", "Se6+", 0.1772808018], + ["Se6+", "Os2+", 0.2096025442], + ["Os2+", "Se6+", 0.2096025442], + ["Se6+", "Ir3+", -0.138197422], + ["Ir3+", "Se6+", -0.138197422], + ["Se6+", "Ir4+", 0.3117615934], + ["Ir4+", "Se6+", 0.3117615934], + ["Se6+", "Ir5+", 0.1249603931], + ["Ir5+", "Se6+", 0.1249603931], + ["Se6+", "Ir6+", 0.2762152187], + ["Ir6+", "Se6+", 0.2762152187], + ["Se6+", "Pt2+", -0.071095712], + ["Pt2+", "Se6+", -0.071095712], + ["Se6+", "Pt2-", -0.2188482507], + ["Pt2-", "Se6+", -0.2188482507], + ["Se6+", "Pt4+", 0.2453648207], + ["Pt4+", "Se6+", 0.2453648207], + ["Se6+", "Pt3+", 0.3673295219], + ["Pt3+", "Se6+", 0.3673295219], + ["Se6+", "Pt5+", 0.0582308885], + ["Pt5+", "Se6+", 0.0582308885], + ["Se6+", "Pt6+", 0.230442109], + ["Pt6+", "Se6+", 0.230442109], + ["Se6+", "Au2+", 0.0590074788], + ["Au2+", "Se6+", 0.0590074788], + ["Se6+", "Au3+", 0.084737482], + ["Au3+", "Se6+", 0.084737482], + ["Se6+", 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0.0736931627], + ["Se6+", "Th3+", -0.2018979031], + ["Th3+", "Se6+", -0.2018979031], + ["Se6+", "Pa4+", 0.119710834], + ["Pa4+", "Se6+", 0.119710834], + ["Se6+", "Pa5+", 0.3426803358], + ["Pa5+", "Se6+", 0.3426803358], + ["Se6+", "Pa3+", -0.0894306841], + ["Pa3+", "Se6+", -0.0894306841], + ["Se6+", "U6+", 0.4351046561], + ["U6+", "Se6+", 0.4351046561], + ["Se6+", "U4+", -0.1546087569], + ["U4+", "Se6+", -0.1546087569], + ["Se6+", "U3+", -0.1838630159], + ["U3+", "Se6+", -0.1838630159], + ["Se6+", "U2+", -0.2218092417], + ["U2+", "Se6+", -0.2218092417], + ["Se6+", "U5+", 0.3024674242], + ["U5+", "Se6+", 0.3024674242], + ["Se6+", "Np6+", 0.1834282038], + ["Np6+", "Se6+", 0.1834282038], + ["Se6+", "Np4+", 0.0790939474], + ["Np4+", "Se6+", 0.0790939474], + ["Se6+", "Np3+", -0.1140473623], + ["Np3+", "Se6+", -0.1140473623], + ["Se6+", "Np7+", 0.4467082136], + ["Np7+", "Se6+", 0.4467082136], + ["Se6+", "Np5+", 0.1880262598], + ["Np5+", "Se6+", 0.1880262598], + ["Se6+", "Pu7+", 0.6553757637], + ["Pu7+", "Se6+", 0.6553757637], + ["Se6+", "Pu6+", 0.1438283182], + ["Pu6+", "Se6+", 0.1438283182], + ["Se6+", "Pu3+", 0.076969957], + ["Pu3+", "Se6+", 0.076969957], + ["Se6+", "Pu4+", 0.2898388414], + ["Pu4+", "Se6+", 0.2898388414], + ["Se6+", "Pu5+", 0.1957866365], + ["Pu5+", "Se6+", 0.1957866365], + ["Se6+", "H1+", 0.472587484], + ["H1+", "Se6+", 0.472587484], + ["Se6+", "H1-", 0.057968702], + ["H1-", "Se6+", 0.057968702], + ["Se6+", "Li1+", 0.4790864498], + ["Li1+", "Se6+", 0.4790864498], + ["Se6+", "B1+", 0.1121891777], + ["B1+", "Se6+", 0.1121891777], + ["Se6+", "B1-", 0.0187967164], + ["B1-", "Se6+", 0.0187967164], + ["Se6+", "C1-", 0.1025002698], + ["C1-", "Se6+", 0.1025002698], + ["Se6+", "C1+", 0.1956456421], + ["C1+", "Se6+", 0.1956456421], + ["Se6+", "N1-", 0.2042928859], + ["N1-", "Se6+", 0.2042928859], + ["Se6+", "N1+", 0.2193038372], + ["N1+", "Se6+", 0.2193038372], + ["Se6+", "O1-", 0.1075501082], + ["O1-", "Se6+", 0.1075501082], + ["Se6+", "F1-", -0.001887874], + ["F1-", "Se6+", -0.001887874], + ["Se6+", "Na1+", 0.5503458153], + ["Na1+", "Se6+", 0.5503458153], + ["Se6+", "Si1-", -0.0044673214], + ["Si1-", "Se6+", -0.0044673214], + ["Se6+", "P1+", -0.1060843038], + ["P1+", "Se6+", -0.1060843038], + ["Se6+", "P1-", -0.0164926104], + ["P1-", "Se6+", -0.0164926104], + ["Se6+", "S1-", -0.0074935559], + ["S1-", "Se6+", -0.0074935559], + ["Se6+", "S1+", 0.1126626969], + ["S1+", "Se6+", 0.1126626969], + ["Se6+", "Cl1-", 0.0843685318], + ["Cl1-", "Se6+", 0.0843685318], + ["Se6+", "K1+", 0.2403409781], + ["K1+", "Se6+", 0.2403409781], + ["Se6+", "Sc1+", -0.1517324053], + ["Sc1+", "Se6+", -0.1517324053], + ["Se6+", "Mn1+", 0.1550351156], + ["Mn1+", "Se6+", 0.1550351156], + ["Se6+", "Fe1+", -0.1959761027], + ["Fe1+", "Se6+", -0.1959761027], + ["Se6+", "Co1+", -0.1380252398], + ["Co1+", "Se6+", -0.1380252398], + ["Se6+", "Ni1+", -0.2650469434], + ["Ni1+", "Se6+", -0.2650469434], + ["Se6+", "Cu1+", -0.144092519], + ["Cu1+", "Se6+", -0.144092519], + ["Se6+", "Ga1+", -0.1915577449], + ["Ga1+", "Se6+", -0.1915577449], + ["Se6+", "As1-", -0.0276951471], + ["As1-", "Se6+", -0.0276951471], + ["Se6+", "As1+", 0.1249794132], + ["As1+", "Se6+", 0.1249794132], + ["Se6+", "Se1-", 0.0057253118], + ["Se1-", "Se6+", 0.0057253118], + ["Se6+", "Se1+", 0.282105786], + ["Se1+", "Se6+", 0.282105786], + ["Se6+", "Br1-", 0.1205128983], + ["Br1-", "Se6+", 0.1205128983], + ["Se6+", "Br1+", 0.1982733103], + ["Br1+", "Se6+", 0.1982733103], + ["Se6+", "Rb1+", 0.2092580491], + ["Rb1+", "Se6+", 0.2092580491], + ["Se6+", "Y1+", -0.0323441406], + ["Y1+", "Se6+", -0.0323441406], + ["Se6+", "Zr1+", -0.3820895028], + ["Zr1+", "Se6+", -0.3820895028], + ["Se6+", "Nb1+", -0.1375534917], + ["Nb1+", "Se6+", -0.1375534917], + ["Se6+", "Tc1-", -0.1720686018], + ["Tc1-", "Se6+", -0.1720686018], + ["Se6+", "Tc1+", -0.0461317019], + ["Tc1+", "Se6+", -0.0461317019], + ["Se6+", "Rh1+", -0.2769129871], + ["Rh1+", "Se6+", -0.2769129871], + ["Se6+", "Ag1+", 0.0824295345], + ["Ag1+", 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["Mn1+", "Se5+", 0.2950892324], + ["Se5+", "Fe1+", -0.1587148802], + ["Fe1+", "Se5+", -0.1587148802], + ["Se5+", "Co1+", -0.1357513183], + ["Co1+", "Se5+", -0.1357513183], + ["Se5+", "Ni1+", -0.1933689717], + ["Ni1+", "Se5+", -0.1933689717], + ["Se5+", "Cu1+", -0.0107073289], + ["Cu1+", "Se5+", -0.0107073289], + ["Se5+", "Ga1+", -0.3144638253], + ["Ga1+", "Se5+", -0.3144638253], + ["Se5+", "As1-", -0.0125965303], + ["As1-", "Se5+", -0.0125965303], + ["Se5+", "As1+", 0.2494494451], + ["As1+", "Se5+", 0.2494494451], + ["Se5+", "Se1-", 0.006486544], + ["Se1-", "Se5+", 0.006486544], + ["Se5+", "Se1+", 0.4454921949], + ["Se1+", "Se5+", 0.4454921949], + ["Se5+", "Br1-", 0.1909858447], + ["Br1-", "Se5+", 0.1909858447], + ["Se5+", "Br1+", 0.1263191861], + ["Br1+", "Se5+", 0.1263191861], + ["Se5+", "Rb1+", 0.2020759262], + ["Rb1+", "Se5+", 0.2020759262], + ["Se5+", "Y1+", 0.089207686], + ["Y1+", "Se5+", 0.089207686], + ["Se5+", "Zr1+", -0.4465715703], + ["Zr1+", "Se5+", -0.4465715703], + ["Se5+", "Nb1+", -0.2200997362], + ["Nb1+", "Se5+", -0.2200997362], + ["Se5+", "Tc1-", -0.1072509523], + ["Tc1-", "Se5+", -0.1072509523], + ["Se5+", "Tc1+", -0.0459053863], + ["Tc1+", "Se5+", -0.0459053863], + ["Se5+", "Rh1+", -0.2074114273], + ["Rh1+", "Se5+", -0.2074114273], + ["Se5+", "Ag1+", 0.1948659032], + ["Ag1+", "Se5+", 0.1948659032], + ["Se5+", "In1+", -0.0225967911], + ["In1+", "Se5+", -0.0225967911], + ["Se5+", "Sb1-", 0.0017125522], + ["Sb1-", "Se5+", 0.0017125522], + ["Se5+", "Sb1+", 0.1258816098], + ["Sb1+", "Se5+", 0.1258816098], + ["Se5+", "Te1-", -0.0074213007], + ["Te1-", "Se5+", -0.0074213007], + ["Se5+", "Te1+", -0.0477276965], + ["Te1+", "Se5+", -0.0477276965], + ["Se5+", "I1-", 0.05681862], + ["I1-", "Se5+", 0.05681862], + ["Se5+", "I1+", 0.1951141145], + ["I1+", "Se5+", 0.1951141145], + ["Se5+", "Cs1+", 0.0506387109], + ["Cs1+", "Se5+", 0.0506387109], + ["Se5+", "La1+", -0.128208437], + ["La1+", "Se5+", -0.128208437], + ["Se5+", "Tb1+", -0.0716506176], + ["Tb1+", "Se5+", -0.0716506176], + ["Se5+", "Ta1+", -0.2772443648], + ["Ta1+", "Se5+", -0.2772443648], + ["Se5+", "Os1-", -0.2843921864], + ["Os1-", "Se5+", -0.2843921864], + ["Se5+", "Os1+", -0.1122407649], + ["Os1+", "Se5+", -0.1122407649], + ["Se5+", "Pt1-", -0.1160055517], + ["Pt1-", "Se5+", -0.1160055517], + ["Se5+", "Pt1+", -0.0564646283], + ["Pt1+", "Se5+", -0.0564646283], + ["Se5+", "Au1-", -0.2180465951], + ["Au1-", "Se5+", -0.2180465951], + ["Se5+", "Au1+", -0.2376258082], + ["Au1+", "Se5+", -0.2376258082], + ["Se5+", "Hg1+", 0.2740519245], + ["Hg1+", "Se5+", 0.2740519245], + ["Se5+", "Tl1+", 0.1234541028], + ["Tl1+", "Se5+", 0.1234541028], + ["Se5+", "Bi1+", 0.0854537947], + ["Bi1+", "Se5+", 0.0854537947], + ["Se2+", "Se2+", 1.0], + ["Se2+", "Se3+", 0.3941168822], + ["Se3+", "Se2+", 0.3941168822], + ["Se2+", "Br2+", 0.1954144291], + ["Br2+", "Se2+", 0.1954144291], + ["Se2+", "Br5+", -0.0095994399], + ["Br5+", "Se2+", -0.0095994399], + ["Se2+", "Br3+", 0.1531527858], + ["Br3+", "Se2+", 0.1531527858], + ["Se2+", "Sr2+", 0.2729783234], + ["Sr2+", "Se2+", 0.2729783234], + ["Se2+", "Y3+", 0.2347297551], + ["Y3+", "Se2+", 0.2347297551], + ["Se2+", "Y2+", 0.2354409736], + ["Y2+", "Se2+", 0.2354409736], + ["Se2+", "Zr2+", 0.2288127734], + ["Zr2+", "Se2+", 0.2288127734], + ["Se2+", "Zr4+", 0.0150079336], + ["Zr4+", "Se2+", 0.0150079336], + ["Se2+", "Zr3+", 0.3557776329], + ["Zr3+", "Se2+", 0.3557776329], + ["Se2+", "Nb5+", 0.2310486889], + ["Nb5+", "Se2+", 0.2310486889], + ["Se2+", "Nb3+", 0.2922070173], + ["Nb3+", "Se2+", 0.2922070173], + ["Se2+", "Nb4+", 0.052178305], + ["Nb4+", "Se2+", 0.052178305], + ["Se2+", "Nb2+", 0.3924458973], + ["Nb2+", "Se2+", 0.3924458973], + ["Se2+", "Nb7+", 0.060282366], + ["Nb7+", "Se2+", 0.060282366], + ["Se2+", "Mo3+", 0.4276162793], + ["Mo3+", "Se2+", 0.4276162793], + ["Se2+", "Mo4+", 0.1452469194], + ["Mo4+", "Se2+", 0.1452469194], + ["Se2+", "Mo6+", 0.1377432678], + ["Mo6+", "Se2+", 0.1377432678], + ["Se2+", "Mo5+", 0.3553325382], + ["Mo5+", "Se2+", 0.3553325382], + ["Se2+", "Mo2+", 0.489437198], + ["Mo2+", "Se2+", 0.489437198], + ["Se2+", "Tc4+", 0.1945070723], + ["Tc4+", "Se2+", 0.1945070723], + ["Se2+", "Tc3-", -0.0027802751], + ["Tc3-", "Se2+", -0.0027802751], + ["Se2+", "Tc3+", 0.4598799823], + ["Tc3+", "Se2+", 0.4598799823], + ["Se2+", "Tc7+", 0.0009331467], + ["Tc7+", "Se2+", 0.0009331467], + ["Se2+", "Tc5+", 0.2710336624], + ["Tc5+", "Se2+", 0.2710336624], + ["Se2+", "Tc6+", 0.0393099681], + ["Tc6+", "Se2+", 0.0393099681], + ["Se2+", "Tc2-", -0.2295327236], + ["Tc2-", "Se2+", -0.2295327236], + ["Se2+", "Tc2+", 0.4331137876], + ["Tc2+", "Se2+", 0.4331137876], + ["Se2+", "Ru2+", 0.2986172809], + ["Ru2+", "Se2+", 0.2986172809], + ["Se2+", "Ru6+", 0.3176844651], + ["Ru6+", "Se2+", 0.3176844651], + ["Se2+", "Ru4+", 0.4355452139], + ["Ru4+", "Se2+", 0.4355452139], + ["Se2+", "Ru5+", 0.2478914235], + ["Ru5+", "Se2+", 0.2478914235], + ["Se2+", "Ru3+", 0.1727037644], + ["Ru3+", "Se2+", 0.1727037644], + ["Se2+", "Rh4+", 0.1663473888], + ["Rh4+", "Se2+", 0.1663473888], + ["Se2+", "Rh3+", 0.1842951834], + ["Rh3+", "Se2+", 0.1842951834], + ["Se2+", "Pd2+", 0.2435125043], + ["Pd2+", "Se2+", 0.2435125043], + ["Se2+", "Pd4+", 0.2195405074], + ["Pd4+", "Se2+", 0.2195405074], + ["Se2+", "Pd3+", 0.000607126], + ["Pd3+", "Se2+", 0.000607126], + ["Se2+", "Ag3+", -0.1392588093], + ["Ag3+", "Se2+", -0.1392588093], + ["Se2+", "Ag2+", -0.0193884962], + ["Ag2+", "Se2+", -0.0193884962], + ["Se2+", "Cd2+", 0.22613401], + ["Cd2+", "Se2+", 0.22613401], + ["Se2+", "In3+", 0.2731677561], + ["In3+", "Se2+", 0.2731677561], + ["Se2+", "In2+", 0.4163028878], + ["In2+", "Se2+", 0.4163028878], + ["Se2+", "Sn4+", 0.3208680542], + ["Sn4+", "Se2+", 0.3208680542], + ["Se2+", "Sn3+", 0.1439165199], + ["Sn3+", "Se2+", 0.1439165199], + ["Se2+", "Sn2+", 0.3435573133], + ["Sn2+", "Se2+", 0.3435573133], + ["Se2+", "Sb5+", 0.4224669302], + ["Sb5+", "Se2+", 0.4224669302], + ["Se2+", "Sb2-", -0.1078130179], + ["Sb2-", "Se2+", -0.1078130179], + ["Se2+", "Sb3-", -0.0799833313], + ["Sb3-", "Se2+", -0.0799833313], + ["Se2+", "Sb3+", 0.2419358536], + ["Sb3+", "Se2+", 0.2419358536], + ["Se2+", "Sb4+", 0.1032832561], + ["Sb4+", "Se2+", 0.1032832561], + ["Se2+", "Te2-", 0.2085939087], + ["Te2-", "Se2+", 0.2085939087], + ["Se2+", "Te4+", 0.4529848787], + ["Te4+", "Se2+", 0.4529848787], + ["Se2+", "Te6+", 0.1024636595], + ["Te6+", "Se2+", 0.1024636595], + ["Se2+", "Te2+", 0.2169454433], + ["Te2+", "Se2+", 0.2169454433], + ["Se2+", "Te5+", 0.1731148163], + ["Te5+", "Se2+", 0.1731148163], + ["Se2+", "I3+", 0.3704606356], + ["I3+", "Se2+", 0.3704606356], + ["Se2+", "I7+", -0.0274641417], + ["I7+", "Se2+", -0.0274641417], + ["Se2+", "I5+", 0.1228302278], + ["I5+", "Se2+", 0.1228302278], + ["Se2+", "I2+", 0.1605268205], + ["I2+", "Se2+", 0.1605268205], + ["Se2+", "Ba2+", 0.299354797], + ["Ba2+", "Se2+", 0.299354797], + ["Se2+", "La3+", 0.3373009304], + ["La3+", "Se2+", 0.3373009304], + ["Se2+", "La2+", 0.0907277249], + ["La2+", "Se2+", 0.0907277249], + ["Se2+", "Ce3+", 0.3778900222], + ["Ce3+", "Se2+", 0.3778900222], + ["Se2+", "Ce2+", 0.0309514953], + ["Ce2+", "Se2+", 0.0309514953], + ["Se2+", "Ce4+", 0.0587781549], + ["Ce4+", "Se2+", 0.0587781549], + ["Se2+", "Pr3+", 0.3493751325], + ["Pr3+", "Se2+", 0.3493751325], + ["Se2+", "Pr4+", 0.0651866039], + ["Pr4+", "Se2+", 0.0651866039], + ["Se2+", "Pr2+", 0.296668244], + ["Pr2+", "Se2+", 0.296668244], + ["Se2+", "Nd3+", 0.2316985369], + ["Nd3+", "Se2+", 0.2316985369], + ["Se2+", "Nd2+", 0.2547082054], + ["Nd2+", "Se2+", 0.2547082054], + ["Se2+", "Pm3+", 0.248949205], + ["Pm3+", "Se2+", 0.248949205], + ["Se2+", "Sm3+", 0.2325118964], + ["Sm3+", "Se2+", 0.2325118964], + ["Se2+", "Sm2+", 0.1865715447], + ["Sm2+", "Se2+", 0.1865715447], + ["Se2+", "Eu2+", 0.3242058813], + ["Eu2+", "Se2+", 0.3242058813], + ["Se2+", "Eu3+", 0.2689049165], + ["Eu3+", "Se2+", 0.2689049165], + ["Se2+", "Gd2+", 0.3430476414], + ["Gd2+", "Se2+", 0.3430476414], + ["Se2+", "Gd3+", 0.2240714754], + ["Gd3+", "Se2+", 0.2240714754], + ["Se2+", "Tb3+", 0.1202099829], + ["Tb3+", "Se2+", 0.1202099829], + ["Se2+", "Tb2+", 0.2890962682], + ["Tb2+", "Se2+", 0.2890962682], + ["Se2+", "Tb4+", -0.2602113415], + ["Tb4+", "Se2+", -0.2602113415], + ["Se2+", "Dy3+", 0.148926766], + ["Dy3+", "Se2+", 0.148926766], + ["Se2+", "Dy2+", 0.299250425], + ["Dy2+", "Se2+", 0.299250425], + ["Se2+", "Ho3+", 0.1003087746], + ["Ho3+", "Se2+", 0.1003087746], + ["Se2+", "Ho2+", 0.3109456786], + ["Ho2+", "Se2+", 0.3109456786], + ["Se2+", "Er3+", 0.0361755224], + ["Er3+", "Se2+", 0.0361755224], + ["Se2+", "Tm3+", 0.1540064322], + ["Tm3+", "Se2+", 0.1540064322], + ["Se2+", "Tm2+", 0.3044721185], + ["Tm2+", "Se2+", 0.3044721185], + ["Se2+", "Yb3+", 0.1307536052], + ["Yb3+", "Se2+", 0.1307536052], + ["Se2+", "Yb2+", 0.260954875], + ["Yb2+", "Se2+", 0.260954875], + ["Se2+", "Lu3+", 0.0660510645], + ["Lu3+", "Se2+", 0.0660510645], + ["Se2+", "Hf3+", 0.1903558095], + ["Hf3+", "Se2+", 0.1903558095], + ["Se2+", "Hf2+", 0.1566378448], + ["Hf2+", "Se2+", 0.1566378448], + ["Se2+", "Hf4+", 0.1135878944], + ["Hf4+", "Se2+", 0.1135878944], + ["Se2+", "Ta5+", 0.2489153083], + ["Ta5+", "Se2+", 0.2489153083], + ["Se2+", "Ta3+", 0.2582541082], + ["Ta3+", "Se2+", 0.2582541082], + ["Se2+", "Ta4+", 0.3127544163], + ["Ta4+", "Se2+", 0.3127544163], + ["Se2+", "Ta2+", 0.2638692025], + ["Ta2+", "Se2+", 0.2638692025], + ["Se2+", "W6+", 0.4286652708], + ["W6+", "Se2+", 0.4286652708], + ["Se2+", "W4+", 0.2897335591], + ["W4+", "Se2+", 0.2897335591], + ["Se2+", "W2+", 0.5149604362], + ["W2+", "Se2+", 0.5149604362], + ["Se2+", "W3+", 0.3540522493], + ["W3+", "Se2+", 0.3540522493], + ["Se2+", "W5+", 0.2980844467], + ["W5+", "Se2+", 0.2980844467], + ["Se2+", "Re5+", 0.3686559078], + ["Re5+", "Se2+", 0.3686559078], + ["Se2+", "Re3+", 0.4431404042], + ["Re3+", "Se2+", 0.4431404042], + ["Se2+", "Re6+", 0.190082932], + ["Re6+", "Se2+", 0.190082932], + ["Se2+", "Re2+", 0.247605327], + ["Re2+", "Se2+", 0.247605327], + ["Se2+", "Re4+", 0.3558819342], + ["Re4+", "Se2+", 0.3558819342], + ["Se2+", "Re7+", 0.221949935], + ["Re7+", "Se2+", 0.221949935], + ["Se2+", "Os7+", 0.1305285741], + ["Os7+", "Se2+", 0.1305285741], + ["Se2+", "Os6+", 0.2330759911], + ["Os6+", "Se2+", 0.2330759911], + ["Se2+", "Os5+", -0.0276855167], + ["Os5+", "Se2+", -0.0276855167], + ["Se2+", "Os2-", 0.0164596167], + ["Os2-", "Se2+", 0.0164596167], + ["Se2+", "Os3+", 0.2973023271], + ["Os3+", "Se2+", 0.2973023271], + ["Se2+", "Os4+", 0.3970984079], + ["Os4+", "Se2+", 0.3970984079], + ["Se2+", "Os8+", 0.3434976211], + ["Os8+", "Se2+", 0.3434976211], + ["Se2+", "Os2+", 0.2992380535], + ["Os2+", "Se2+", 0.2992380535], + ["Se2+", "Ir3+", 0.3378619686], + ["Ir3+", "Se2+", 0.3378619686], + ["Se2+", "Ir4+", 0.2597515938], + ["Ir4+", "Se2+", 0.2597515938], + ["Se2+", "Ir5+", 0.3070611801], + ["Ir5+", "Se2+", 0.3070611801], + ["Se2+", "Ir6+", 0.4318121394], + ["Ir6+", "Se2+", 0.4318121394], + ["Se2+", "Pt2+", 0.4757656341], + ["Pt2+", "Se2+", 0.4757656341], + ["Se2+", "Pt2-", 0.0187850014], + ["Pt2-", "Se2+", 0.0187850014], + ["Se2+", "Pt4+", 0.2827965107], + ["Pt4+", "Se2+", 0.2827965107], + ["Se2+", "Pt3+", 0.0165675592], + ["Pt3+", "Se2+", 0.0165675592], + ["Se2+", "Pt5+", 0.2650456026], + ["Pt5+", "Se2+", 0.2650456026], + ["Se2+", "Pt6+", 0.3516959523], + ["Pt6+", "Se2+", 0.3516959523], + ["Se2+", "Au2+", -0.0182036073], + ["Au2+", "Se2+", -0.0182036073], + ["Se2+", "Au3+", 0.1400855281], + ["Au3+", "Se2+", 0.1400855281], + ["Se2+", "Au5+", 0.1195821004], + ["Au5+", "Se2+", 0.1195821004], + ["Se2+", "Au4+", 0.2045020836], + ["Au4+", "Se2+", 0.2045020836], + ["Se2+", "Hg2+", 0.4743194832], + ["Hg2+", "Se2+", 0.4743194832], + ["Se2+", "Tl3+", 0.1624452479], + ["Tl3+", "Se2+", 0.1624452479], + ["Se2+", "Tl2+", 0.0196504926], + ["Tl2+", "Se2+", 0.0196504926], + ["Se2+", "Pb2+", 0.4010026346], + ["Pb2+", "Se2+", 0.4010026346], + ["Se2+", "Pb3+", 0.1718093276], + ["Pb3+", "Se2+", 0.1718093276], + ["Se2+", "Pb4+", 0.1712835229], + ["Pb4+", "Se2+", 0.1712835229], + ["Se2+", "Bi3+", 0.3020139085], + ["Bi3+", "Se2+", 0.3020139085], + ["Se2+", "Bi5+", 0.013816351], + ["Bi5+", "Se2+", 0.013816351], + ["Se2+", "Bi2+", 0.4330732216], + ["Bi2+", "Se2+", 0.4330732216], + ["Se2+", "Bi3-", 0.0207553182], + ["Bi3-", "Se2+", 0.0207553182], + ["Se2+", "Bi4+", -0.0988304377], + ["Bi4+", "Se2+", -0.0988304377], + ["Se2+", "Ac3+", 0.3806539995], + ["Ac3+", "Se2+", 0.3806539995], + ["Se2+", "Th4+", -0.1715603091], + ["Th4+", "Se2+", -0.1715603091], + ["Se2+", "Th3+", 0.1183282338], + ["Th3+", "Se2+", 0.1183282338], + ["Se2+", "Pa4+", 0.2873337289], + ["Pa4+", "Se2+", 0.2873337289], + ["Se2+", "Pa5+", 0.2292574791], + ["Pa5+", "Se2+", 0.2292574791], + ["Se2+", "Pa3+", 0.0361993677], + ["Pa3+", "Se2+", 0.0361993677], + ["Se2+", "U6+", 0.096363405], + ["U6+", "Se2+", 0.096363405], + ["Se2+", "U4+", -0.0629700809], + ["U4+", "Se2+", -0.0629700809], + ["Se2+", "U3+", 0.1400505626], + 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0.1721160402], + ["Li1+", "Se2+", 0.1721160402], + ["Se2+", "B1+", 0.241410605], + ["B1+", "Se2+", 0.241410605], + ["Se2+", "B1-", -0.0231747308], + ["B1-", "Se2+", -0.0231747308], + ["Se2+", "C1-", 0.3027464898], + ["C1-", "Se2+", 0.3027464898], + ["Se2+", "C1+", 0.3133830635], + ["C1+", "Se2+", 0.3133830635], + ["Se2+", "N1-", 0.2852744786], + ["N1-", "Se2+", 0.2852744786], + ["Se2+", "N1+", 0.3698804721], + ["N1+", "Se2+", 0.3698804721], + ["Se2+", "O1-", 0.0765121266], + ["O1-", "Se2+", 0.0765121266], + ["Se2+", "F1-", 0.0571169679], + ["F1-", "Se2+", 0.0571169679], + ["Se2+", "Na1+", 0.1259504376], + ["Na1+", "Se2+", 0.1259504376], + ["Se2+", "Si1-", -0.0052856525], + ["Si1-", "Se2+", -0.0052856525], + ["Se2+", "P1+", 0.047070935], + ["P1+", "Se2+", 0.047070935], + ["Se2+", "P1-", -0.0182165245], + ["P1-", "Se2+", -0.0182165245], + ["Se2+", "S1-", 0.157814493], + ["S1-", "Se2+", 0.157814493], + ["Se2+", "S1+", 0.4676488918], + ["S1+", "Se2+", 0.4676488918], + ["Se2+", "Cl1-", 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0.37530789], + ["Se2+", "Cs1+", 0.4027316327], + ["Cs1+", "Se2+", 0.4027316327], + ["Se2+", "La1+", 0.0860040804], + ["La1+", "Se2+", 0.0860040804], + ["Se2+", "Tb1+", 0.2975458465], + ["Tb1+", "Se2+", 0.2975458465], + ["Se2+", "Ta1+", 0.1270950106], + ["Ta1+", "Se2+", 0.1270950106], + ["Se2+", "Os1-", -0.0016101381], + ["Os1-", "Se2+", -0.0016101381], + ["Se2+", "Os1+", 0.2963504156], + ["Os1+", "Se2+", 0.2963504156], + ["Se2+", "Pt1-", -0.0939838981], + ["Pt1-", "Se2+", -0.0939838981], + ["Se2+", "Pt1+", 0.0695942959], + ["Pt1+", "Se2+", 0.0695942959], + ["Se2+", "Au1-", -0.0813784563], + ["Au1-", "Se2+", -0.0813784563], + ["Se2+", "Au1+", 0.3696903585], + ["Au1+", "Se2+", 0.3696903585], + ["Se2+", "Hg1+", 0.3098862869], + ["Hg1+", "Se2+", 0.3098862869], + ["Se2+", "Tl1+", 0.3767329652], + ["Tl1+", "Se2+", 0.3767329652], + ["Se2+", "Bi1+", 0.3142528222], + ["Bi1+", "Se2+", 0.3142528222], + ["Se3+", "Se3+", 1.0], + ["Se3+", "Br2+", 0.1910637797], + ["Br2+", "Se3+", 0.1910637797], + 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0.1902209143], + ["Se3+", "Mo6+", 0.1098948585], + ["Mo6+", "Se3+", 0.1098948585], + ["Se3+", "Mo5+", 0.4213471628], + ["Mo5+", "Se3+", 0.4213471628], + ["Se3+", "Mo2+", 0.0318722359], + ["Mo2+", "Se3+", 0.0318722359], + ["Se3+", "Tc4+", 0.1847522031], + ["Tc4+", "Se3+", 0.1847522031], + ["Se3+", "Tc3-", 0.0239479816], + ["Tc3-", "Se3+", 0.0239479816], + ["Se3+", "Tc3+", 0.1173621066], + ["Tc3+", "Se3+", 0.1173621066], + ["Se3+", "Tc7+", 0.1218421171], + ["Tc7+", "Se3+", 0.1218421171], + ["Se3+", "Tc5+", 0.286237591], + ["Tc5+", "Se3+", 0.286237591], + ["Se3+", "Tc6+", 0.1389069], + ["Tc6+", "Se3+", 0.1389069], + ["Se3+", "Tc2-", -0.1556829023], + ["Tc2-", "Se3+", -0.1556829023], + ["Se3+", "Tc2+", 0.2510768064], + ["Tc2+", "Se3+", 0.2510768064], + ["Se3+", "Ru2+", 0.169934031], + ["Ru2+", "Se3+", 0.169934031], + ["Se3+", "Ru6+", 0.2363827887], + ["Ru6+", "Se3+", 0.2363827887], + ["Se3+", "Ru4+", 0.4488563017], + ["Ru4+", "Se3+", 0.4488563017], + ["Se3+", "Ru5+", 0.2430625168], + 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0.4792255454], + ["Sb5+", "Se3+", 0.4792255454], + ["Se3+", "Sb2-", 0.0173735956], + ["Sb2-", "Se3+", 0.0173735956], + ["Se3+", "Sb3-", 0.0340959623], + ["Sb3-", "Se3+", 0.0340959623], + ["Se3+", "Sb3+", 0.1266400913], + ["Sb3+", "Se3+", 0.1266400913], + ["Se3+", "Sb4+", 0.2242680995], + ["Sb4+", "Se3+", 0.2242680995], + ["Se3+", "Te2-", 0.3918689428], + ["Te2-", "Se3+", 0.3918689428], + ["Se3+", "Te4+", 0.2236581996], + ["Te4+", "Se3+", 0.2236581996], + ["Se3+", "Te6+", 0.0712569155], + ["Te6+", "Se3+", 0.0712569155], + ["Se3+", "Te2+", 0.0830766188], + ["Te2+", "Se3+", 0.0830766188], + ["Se3+", "Te5+", 0.091936205], + ["Te5+", "Se3+", 0.091936205], + ["Se3+", "I3+", 0.2506740808], + ["I3+", "Se3+", 0.2506740808], + ["Se3+", "I7+", 0.076342862], + ["I7+", "Se3+", 0.076342862], + ["Se3+", "I5+", 0.2764459287], + ["I5+", "Se3+", 0.2764459287], + ["Se3+", "I2+", 0.1464728257], + ["I2+", "Se3+", 0.1464728257], + ["Se3+", "Ba2+", 0.1571923751], + ["Ba2+", "Se3+", 0.1571923751], + ["Se3+", 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0.3424848024], + ["Se3+", "Gd2+", 0.0239358544], + ["Gd2+", "Se3+", 0.0239358544], + ["Se3+", "Gd3+", 0.0406326776], + ["Gd3+", "Se3+", 0.0406326776], + ["Se3+", "Tb3+", -0.0838428844], + ["Tb3+", "Se3+", -0.0838428844], + ["Se3+", "Tb2+", -0.0115268569], + ["Tb2+", "Se3+", -0.0115268569], + ["Se3+", "Tb4+", -0.0211766978], + ["Tb4+", "Se3+", -0.0211766978], + ["Se3+", "Dy3+", -0.0927873771], + ["Dy3+", "Se3+", -0.0927873771], + ["Se3+", "Dy2+", 0.1795799058], + ["Dy2+", "Se3+", 0.1795799058], + ["Se3+", "Ho3+", -0.0005062786], + ["Ho3+", "Se3+", -0.0005062786], + ["Se3+", "Ho2+", 0.1176392125], + ["Ho2+", "Se3+", 0.1176392125], + ["Se3+", "Er3+", -0.0112184904], + ["Er3+", "Se3+", -0.0112184904], + ["Se3+", "Tm3+", 0.0082229345], + ["Tm3+", "Se3+", 0.0082229345], + ["Se3+", "Tm2+", 0.1889939907], + ["Tm2+", "Se3+", 0.1889939907], + ["Se3+", "Yb3+", 0.043701132], + ["Yb3+", "Se3+", 0.043701132], + ["Se3+", "Yb2+", -0.1060333941], + ["Yb2+", "Se3+", -0.1060333941], + ["Se3+", "Lu3+", 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"Re6+", 0.2193630923], + ["Re6+", "Se3+", 0.2193630923], + ["Se3+", "Re2+", 0.3962023302], + ["Re2+", "Se3+", 0.3962023302], + ["Se3+", "Re4+", 0.2943250685], + ["Re4+", "Se3+", 0.2943250685], + ["Se3+", "Re7+", 0.219452756], + ["Re7+", "Se3+", 0.219452756], + ["Se3+", "Os7+", 0.2603420957], + ["Os7+", "Se3+", 0.2603420957], + ["Se3+", "Os6+", 0.4866548335], + ["Os6+", "Se3+", 0.4866548335], + ["Se3+", "Os5+", 0.1246611696], + ["Os5+", "Se3+", 0.1246611696], + ["Se3+", "Os2-", -0.2524835025], + ["Os2-", "Se3+", -0.2524835025], + ["Se3+", "Os3+", 0.2641306042], + ["Os3+", "Se3+", 0.2641306042], + ["Se3+", "Os4+", 0.2342210871], + ["Os4+", "Se3+", 0.2342210871], + ["Se3+", "Os8+", 0.3210193648], + ["Os8+", "Se3+", 0.3210193648], + ["Se3+", "Os2+", 0.1467961905], + ["Os2+", "Se3+", 0.1467961905], + ["Se3+", "Ir3+", 0.157521402], + ["Ir3+", "Se3+", 0.157521402], + ["Se3+", "Ir4+", 0.2069719441], + ["Ir4+", "Se3+", 0.2069719441], + ["Se3+", "Ir5+", 0.2967698451], + ["Ir5+", "Se3+", 0.2967698451], + ["Se3+", "Ir6+", 0.2423973441], + ["Ir6+", "Se3+", 0.2423973441], + ["Se3+", "Pt2+", 0.1889291529], + ["Pt2+", "Se3+", 0.1889291529], + ["Se3+", "Pt2-", -0.1293126469], + ["Pt2-", "Se3+", -0.1293126469], + ["Se3+", "Pt4+", 0.173257987], + ["Pt4+", "Se3+", 0.173257987], + ["Se3+", "Pt3+", 0.0900590432], + ["Pt3+", "Se3+", 0.0900590432], + ["Se3+", "Pt5+", 0.0181409625], + ["Pt5+", "Se3+", 0.0181409625], + ["Se3+", "Pt6+", 0.3170740657], + ["Pt6+", "Se3+", 0.3170740657], + ["Se3+", "Au2+", 0.0338520861], + ["Au2+", "Se3+", 0.0338520861], + ["Se3+", "Au3+", 0.0706714213], + ["Au3+", "Se3+", 0.0706714213], + ["Se3+", "Au5+", 0.0056885256], + ["Au5+", "Se3+", 0.0056885256], + ["Se3+", "Au4+", -0.1133628012], + ["Au4+", "Se3+", -0.1133628012], + ["Se3+", "Hg2+", 0.2245508561], + ["Hg2+", "Se3+", 0.2245508561], + ["Se3+", "Tl3+", 0.1368881884], + ["Tl3+", "Se3+", 0.1368881884], + ["Se3+", "Tl2+", 0.0153509839], + ["Tl2+", "Se3+", 0.0153509839], + ["Se3+", "Pb2+", 0.275144866], + ["Pb2+", "Se3+", 0.275144866], + ["Se3+", "Pb3+", 0.2984366252], + ["Pb3+", "Se3+", 0.2984366252], + ["Se3+", "Pb4+", 0.2012076381], + ["Pb4+", "Se3+", 0.2012076381], + ["Se3+", "Bi3+", 0.2138958249], + ["Bi3+", "Se3+", 0.2138958249], + ["Se3+", "Bi5+", 0.2583977815], + ["Bi5+", "Se3+", 0.2583977815], + ["Se3+", "Bi2+", 0.198835759], + ["Bi2+", "Se3+", 0.198835759], + ["Se3+", "Bi3-", -0.0154762253], + ["Bi3-", "Se3+", -0.0154762253], + ["Se3+", "Bi4+", 0.0203782392], + ["Bi4+", "Se3+", 0.0203782392], + ["Se3+", "Ac3+", 0.1567521373], + ["Ac3+", "Se3+", 0.1567521373], + ["Se3+", "Th4+", -0.2107652743], + ["Th4+", "Se3+", -0.2107652743], + ["Se3+", "Th3+", -0.1484366159], + ["Th3+", "Se3+", -0.1484366159], + ["Se3+", "Pa4+", 0.1486844929], + ["Pa4+", "Se3+", 0.1486844929], + ["Se3+", "Pa5+", 0.1865612731], + ["Pa5+", "Se3+", 0.1865612731], + ["Se3+", "Pa3+", -0.0654460814], + ["Pa3+", "Se3+", -0.0654460814], + ["Se3+", "U6+", 0.084491891], + ["U6+", "Se3+", 0.084491891], + ["Se3+", "U4+", -0.1639716907], + ["U4+", "Se3+", -0.1639716907], + ["Se3+", "U3+", -0.2251281784], + ["U3+", "Se3+", -0.2251281784], + ["Se3+", "U2+", 0.0569408232], + ["U2+", "Se3+", 0.0569408232], + ["Se3+", "U5+", 0.2628183523], + ["U5+", "Se3+", 0.2628183523], + ["Se3+", "Np6+", 0.0906821241], + ["Np6+", "Se3+", 0.0906821241], + ["Se3+", "Np4+", 0.0490769759], + ["Np4+", "Se3+", 0.0490769759], + ["Se3+", "Np3+", -0.1733428666], + ["Np3+", "Se3+", -0.1733428666], + ["Se3+", "Np7+", 0.2847484027], + ["Np7+", "Se3+", 0.2847484027], + ["Se3+", "Np5+", 0.2078639892], + ["Np5+", "Se3+", 0.2078639892], + ["Se3+", "Pu7+", 0.2410737366], + ["Pu7+", "Se3+", 0.2410737366], + ["Se3+", "Pu6+", 0.1972918047], + ["Pu6+", "Se3+", 0.1972918047], + ["Se3+", "Pu3+", 0.0651534927], + ["Pu3+", "Se3+", 0.0651534927], + ["Se3+", "Pu4+", 0.0865981124], + ["Pu4+", "Se3+", 0.0865981124], + ["Se3+", "Pu5+", 0.2898384447], + ["Pu5+", "Se3+", 0.2898384447], + ["Se3+", "H1+", 0.4632416332], + ["H1+", "Se3+", 0.4632416332], + ["Se3+", "H1-", 0.2012043852], + ["H1-", "Se3+", 0.2012043852], + ["Se3+", "Li1+", 0.171848145], + ["Li1+", "Se3+", 0.171848145], + ["Se3+", "B1+", 0.090137592], + ["B1+", "Se3+", 0.090137592], + ["Se3+", "B1-", 0.0453680157], + ["B1-", "Se3+", 0.0453680157], + ["Se3+", "C1-", 0.3426878503], + ["C1-", "Se3+", 0.3426878503], + ["Se3+", "C1+", 0.3566421854], + ["C1+", "Se3+", 0.3566421854], + ["Se3+", "N1-", 0.1243580617], + ["N1-", "Se3+", 0.1243580617], + ["Se3+", "N1+", 0.2140233073], + ["N1+", "Se3+", 0.2140233073], + ["Se3+", "O1-", 0.2692069122], + ["O1-", "Se3+", 0.2692069122], + ["Se3+", "F1-", 0.0546036996], + ["F1-", "Se3+", 0.0546036996], + ["Se3+", "Na1+", 0.2167028431], + ["Na1+", "Se3+", 0.2167028431], + ["Se3+", "Si1-", 0.0484417013], + ["Si1-", "Se3+", 0.0484417013], + ["Se3+", "P1+", -0.1828348359], + ["P1+", "Se3+", -0.1828348359], + ["Se3+", "P1-", 0.040387237], + ["P1-", "Se3+", 0.040387237], + ["Se3+", "S1-", 0.1155699574], + ["S1-", "Se3+", 0.1155699574], + ["Se3+", "S1+", 0.3312789115], + ["S1+", "Se3+", 0.3312789115], + ["Se3+", "Cl1-", 0.27299564], + ["Cl1-", "Se3+", 0.27299564], + ["Se3+", "K1+", 0.2222160636], + ["K1+", "Se3+", 0.2222160636], + ["Se3+", "Sc1+", 0.2935563613], + ["Sc1+", "Se3+", 0.2935563613], + ["Se3+", "Mn1+", -0.0082406473], + ["Mn1+", "Se3+", -0.0082406473], + ["Se3+", "Fe1+", 0.0691892836], + ["Fe1+", "Se3+", 0.0691892836], + ["Se3+", "Co1+", 0.1016868856], + ["Co1+", "Se3+", 0.1016868856], + ["Se3+", "Ni1+", -0.0218408395], + ["Ni1+", "Se3+", -0.0218408395], + ["Se3+", "Cu1+", -0.0099198569], + ["Cu1+", "Se3+", -0.0099198569], + ["Se3+", "Ga1+", 0.1232275447], + ["Ga1+", "Se3+", 0.1232275447], + ["Se3+", "As1-", -0.0759281941], + ["As1-", "Se3+", -0.0759281941], + ["Se3+", "As1+", -0.0037326866], + ["As1+", "Se3+", -0.0037326866], + ["Se3+", "Se1-", -0.0081980716], + ["Se1-", "Se3+", -0.0081980716], + ["Se3+", "Se1+", 0.5545903858], + ["Se1+", "Se3+", 0.5545903858], + ["Se3+", "Br1-", 0.1607773592], + ["Br1-", "Se3+", 0.1607773592], + ["Se3+", "Br1+", 0.4624527843], + ["Br1+", "Se3+", 0.4624527843], + ["Se3+", "Rb1+", 0.2314660528], + ["Rb1+", "Se3+", 0.2314660528], + ["Se3+", "Y1+", -0.0969866131], + ["Y1+", "Se3+", -0.0969866131], + ["Se3+", "Zr1+", -0.2152913179], + ["Zr1+", "Se3+", -0.2152913179], + ["Se3+", "Nb1+", 0.0511893035], + ["Nb1+", "Se3+", 0.0511893035], + ["Se3+", "Tc1-", 0.1419838945], + ["Tc1-", "Se3+", 0.1419838945], + ["Se3+", "Tc1+", 0.1733570472], + ["Tc1+", "Se3+", 0.1733570472], + ["Se3+", "Rh1+", -0.0339419184], + ["Rh1+", "Se3+", -0.0339419184], + ["Se3+", "Ag1+", 0.1318387405], + ["Ag1+", "Se3+", 0.1318387405], + ["Se3+", "In1+", 0.2446615189], + ["In1+", "Se3+", 0.2446615189], + ["Se3+", "Sb1-", -0.0410054497], + ["Sb1-", "Se3+", -0.0410054497], + ["Se3+", "Sb1+", -0.0395831737], + ["Sb1+", "Se3+", -0.0395831737], + ["Se3+", "Te1-", 0.1170741473], + ["Te1-", "Se3+", 0.1170741473], + ["Se3+", "Te1+", 0.2449391383], + ["Te1+", "Se3+", 0.2449391383], + ["Se3+", "I1-", 0.1460674917], + ["I1-", "Se3+", 0.1460674917], + ["Se3+", "I1+", 0.5048138595], + ["I1+", "Se3+", 0.5048138595], + ["Se3+", "Cs1+", 0.1486462694], + ["Cs1+", "Se3+", 0.1486462694], + ["Se3+", "La1+", 0.0731832688], + ["La1+", "Se3+", 0.0731832688], + ["Se3+", "Tb1+", -0.01227728], + ["Tb1+", "Se3+", -0.01227728], + ["Se3+", "Ta1+", -0.0546209832], + ["Ta1+", "Se3+", -0.0546209832], + ["Se3+", "Os1-", -0.0533254976], + ["Os1-", "Se3+", -0.0533254976], + ["Se3+", "Os1+", 0.1707940887], + ["Os1+", "Se3+", 0.1707940887], + ["Se3+", "Pt1-", -0.1705572326], + ["Pt1-", "Se3+", -0.1705572326], + ["Se3+", "Pt1+", 0.0673641155], + ["Pt1+", "Se3+", 0.0673641155], + ["Se3+", "Au1-", -0.0063500365], + ["Au1-", "Se3+", -0.0063500365], + ["Se3+", "Au1+", 0.1975701242], + ["Au1+", "Se3+", 0.1975701242], + ["Se3+", "Hg1+", 0.2838632689], + ["Hg1+", "Se3+", 0.2838632689], + ["Se3+", "Tl1+", 0.2449245371], + ["Tl1+", "Se3+", 0.2449245371], + ["Se3+", "Bi1+", 0.1651669096], + ["Bi1+", "Se3+", 0.1651669096], + ["Br2+", "Br2+", 1.0], + ["Br2+", "Br5+", 0.0083031035], + ["Br5+", "Br2+", 0.0083031035], + ["Br2+", "Br3+", 0.0369405138], + ["Br3+", "Br2+", 0.0369405138], + ["Br2+", "Sr2+", 0.3070079115], + ["Sr2+", "Br2+", 0.3070079115], + ["Br2+", "Y3+", 0.1966784547], + ["Y3+", "Br2+", 0.1966784547], + ["Br2+", "Y2+", 0.2155248172], + ["Y2+", "Br2+", 0.2155248172], + ["Br2+", "Zr2+", 0.0209017983], + ["Zr2+", "Br2+", 0.0209017983], + ["Br2+", "Zr4+", 0.2326749719], + ["Zr4+", "Br2+", 0.2326749719], + ["Br2+", "Zr3+", 0.1914559301], + ["Zr3+", "Br2+", 0.1914559301], + ["Br2+", "Nb5+", 0.2262871422], + ["Nb5+", "Br2+", 0.2262871422], + ["Br2+", "Nb3+", 0.2794023142], + ["Nb3+", "Br2+", 0.2794023142], + ["Br2+", "Nb4+", 0.2711170836], + ["Nb4+", "Br2+", 0.2711170836], + ["Br2+", "Nb2+", 0.1552933476], + ["Nb2+", "Br2+", 0.1552933476], + ["Br2+", "Nb7+", 0.2035278588], + ["Nb7+", "Br2+", 0.2035278588], + ["Br2+", "Mo3+", 0.2844633021], + ["Mo3+", "Br2+", 0.2844633021], + ["Br2+", "Mo4+", 0.3372372535], + ["Mo4+", "Br2+", 0.3372372535], + ["Br2+", "Mo6+", 0.3411380061], + ["Mo6+", "Br2+", 0.3411380061], + ["Br2+", "Mo5+", 0.1364760099], + ["Mo5+", "Br2+", 0.1364760099], + ["Br2+", "Mo2+", 0.2590968543], + ["Mo2+", "Br2+", 0.2590968543], + ["Br2+", "Tc4+", 0.0574435215], + ["Tc4+", "Br2+", 0.0574435215], + ["Br2+", "Tc3-", 0.1424772524], + ["Tc3-", "Br2+", 0.1424772524], + ["Br2+", "Tc3+", 0.2927089838], + ["Tc3+", "Br2+", 0.2927089838], + ["Br2+", "Tc7+", 0.0318374354], + ["Tc7+", "Br2+", 0.0318374354], + ["Br2+", "Tc5+", 0.1519239187], + ["Tc5+", "Br2+", 0.1519239187], + ["Br2+", "Tc6+", 0.0673477205], + ["Tc6+", "Br2+", 0.0673477205], + ["Br2+", "Tc2-", 0.0351860752], + ["Tc2-", "Br2+", 0.0351860752], + ["Br2+", "Tc2+", 0.0797954689], + ["Tc2+", "Br2+", 0.0797954689], + ["Br2+", "Ru2+", 0.1212646007], + ["Ru2+", "Br2+", 0.1212646007], + ["Br2+", "Ru6+", 0.1605075354], + ["Ru6+", "Br2+", 0.1605075354], + ["Br2+", "Ru4+", 0.2683616581], + ["Ru4+", "Br2+", 0.2683616581], + ["Br2+", "Ru5+", 0.2699195742], + ["Ru5+", "Br2+", 0.2699195742], + ["Br2+", "Ru3+", 0.0939237272], + ["Ru3+", "Br2+", 0.0939237272], + ["Br2+", "Rh4+", 0.210370477], + ["Rh4+", "Br2+", 0.210370477], + ["Br2+", "Rh3+", 0.2279045914], + ["Rh3+", "Br2+", 0.2279045914], + ["Br2+", "Pd2+", 0.1814793142], + ["Pd2+", "Br2+", 0.1814793142], + ["Br2+", "Pd4+", 0.0936548188], + ["Pd4+", "Br2+", 0.0936548188], + ["Br2+", "Pd3+", -0.0491163248], + ["Pd3+", "Br2+", -0.0491163248], + ["Br2+", "Ag3+", 0.1424192813], + ["Ag3+", "Br2+", 0.1424192813], + ["Br2+", "Ag2+", -0.0343058929], + ["Ag2+", "Br2+", -0.0343058929], + ["Br2+", "Cd2+", 0.2648299359], + ["Cd2+", "Br2+", 0.2648299359], + ["Br2+", "In3+", 0.3381374161], + ["In3+", "Br2+", 0.3381374161], + ["Br2+", "In2+", 0.2347987802], + ["In2+", "Br2+", 0.2347987802], + ["Br2+", "Sn4+", 0.3743533703], + ["Sn4+", "Br2+", 0.3743533703], + ["Br2+", "Sn3+", 0.1462530885], + ["Sn3+", "Br2+", 0.1462530885], + ["Br2+", "Sn2+", 0.2040894915], + ["Sn2+", "Br2+", 0.2040894915], + ["Br2+", "Sb5+", 0.2006872369], + ["Sb5+", "Br2+", 0.2006872369], + ["Br2+", "Sb2-", 0.0225490442], + ["Sb2-", "Br2+", 0.0225490442], + ["Br2+", "Sb3-", 0.0524428591], + ["Sb3-", "Br2+", 0.0524428591], + ["Br2+", "Sb3+", 0.2572820045], + ["Sb3+", "Br2+", 0.2572820045], + ["Br2+", "Sb4+", 0.041792753], + ["Sb4+", "Br2+", 0.041792753], + ["Br2+", "Te2-", 0.2562095922], + ["Te2-", "Br2+", 0.2562095922], + ["Br2+", "Te4+", 0.2781538684], + ["Te4+", "Br2+", 0.2781538684], + ["Br2+", "Te6+", 0.0800897975], + ["Te6+", "Br2+", 0.0800897975], + ["Br2+", "Te2+", 0.1423776006], + ["Te2+", "Br2+", 0.1423776006], + ["Br2+", "Te5+", 0.2427265978], + ["Te5+", "Br2+", 0.2427265978], + ["Br2+", "I3+", 0.061223767], + ["I3+", "Br2+", 0.061223767], + ["Br2+", "I7+", 0.1401587799], + ["I7+", "Br2+", 0.1401587799], + ["Br2+", "I5+", 0.0658351577], + ["I5+", "Br2+", 0.0658351577], + ["Br2+", "I2+", 0.2110132095], + ["I2+", 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0.301162745], + ["Cd2+", "Tc4+", 0.301162745], + ["Tc4+", "In3+", 0.1174743729], + ["In3+", "Tc4+", 0.1174743729], + ["Tc4+", "In2+", 0.0530899052], + ["In2+", "Tc4+", 0.0530899052], + ["Tc4+", "Sn4+", 0.1208552993], + ["Sn4+", "Tc4+", 0.1208552993], + ["Tc4+", "Sn3+", 0.2105258745], + ["Sn3+", "Tc4+", 0.2105258745], + ["Tc4+", "Sn2+", 0.110673175], + ["Sn2+", "Tc4+", 0.110673175], + ["Tc4+", "Sb5+", 0.3014739153], + ["Sb5+", "Tc4+", 0.3014739153], + ["Tc4+", "Sb2-", -0.0166904283], + ["Sb2-", "Tc4+", -0.0166904283], + ["Tc4+", "Sb3-", -0.1789552198], + ["Sb3-", "Tc4+", -0.1789552198], + ["Tc4+", "Sb3+", 0.3104046136], + ["Sb3+", "Tc4+", 0.3104046136], + ["Tc4+", "Sb4+", 0.3920635053], + ["Sb4+", "Tc4+", 0.3920635053], + ["Tc4+", "Te2-", 0.0069651941], + ["Te2-", "Tc4+", 0.0069651941], + ["Tc4+", "Te4+", 0.563038139], + ["Te4+", "Tc4+", 0.563038139], + ["Tc4+", "Te6+", 0.3896724533], + ["Te6+", "Tc4+", 0.3896724533], + ["Tc4+", "Te2+", 0.1815484124], + ["Te2+", "Tc4+", 0.1815484124], + ["Tc4+", "Te5+", 0.2496895783], + ["Te5+", "Tc4+", 0.2496895783], + ["Tc4+", "I3+", 0.2643525168], + ["I3+", "Tc4+", 0.2643525168], + ["Tc4+", "I7+", 0.0871567633], + ["I7+", "Tc4+", 0.0871567633], + ["Tc4+", "I5+", 0.2798930874], + ["I5+", "Tc4+", 0.2798930874], + ["Tc4+", "I2+", 0.2468913573], + ["I2+", "Tc4+", 0.2468913573], + ["Tc4+", "Ba2+", 0.3261033227], + ["Ba2+", "Tc4+", 0.3261033227], + ["Tc4+", "La3+", 0.3370504408], + ["La3+", "Tc4+", 0.3370504408], + ["Tc4+", "La2+", 0.3202215448], + ["La2+", "Tc4+", 0.3202215448], + ["Tc4+", "Ce3+", 0.1653913408], + ["Ce3+", "Tc4+", 0.1653913408], + ["Tc4+", "Ce2+", 0.1901177079], + ["Ce2+", "Tc4+", 0.1901177079], + ["Tc4+", "Ce4+", 0.203527277], + ["Ce4+", "Tc4+", 0.203527277], + ["Tc4+", "Pr3+", 0.2676833398], + ["Pr3+", "Tc4+", 0.2676833398], + ["Tc4+", "Pr4+", 0.1708035825], + ["Pr4+", "Tc4+", 0.1708035825], + ["Tc4+", "Pr2+", 0.3539493524], + ["Pr2+", "Tc4+", 0.3539493524], + ["Tc4+", "Nd3+", 0.2470058284], + ["Nd3+", "Tc4+", 0.2470058284], + ["Tc4+", "Nd2+", 0.3845060258], + ["Nd2+", "Tc4+", 0.3845060258], + ["Tc4+", "Pm3+", 0.1531313287], + ["Pm3+", "Tc4+", 0.1531313287], + ["Tc4+", "Sm3+", 0.1797099139], + ["Sm3+", "Tc4+", 0.1797099139], + ["Tc4+", "Sm2+", 0.2664684129], + ["Sm2+", "Tc4+", 0.2664684129], + ["Tc4+", "Eu2+", 0.1080706158], + ["Eu2+", "Tc4+", 0.1080706158], + ["Tc4+", "Eu3+", 0.3455683707], + ["Eu3+", "Tc4+", 0.3455683707], + ["Tc4+", "Gd2+", 0.1398868353], + ["Gd2+", "Tc4+", 0.1398868353], + ["Tc4+", "Gd3+", 0.3687942515], + ["Gd3+", "Tc4+", 0.3687942515], + ["Tc4+", "Tb3+", 0.1550396263], + ["Tb3+", "Tc4+", 0.1550396263], + ["Tc4+", "Tb2+", 0.2843755118], + ["Tb2+", "Tc4+", 0.2843755118], + ["Tc4+", "Tb4+", 0.2902001806], + ["Tb4+", "Tc4+", 0.2902001806], + ["Tc4+", "Dy3+", 0.2036327802], + ["Dy3+", "Tc4+", 0.2036327802], + ["Tc4+", "Dy2+", 0.2311958468], + ["Dy2+", "Tc4+", 0.2311958468], + ["Tc4+", "Ho3+", 0.1770326199], + ["Ho3+", "Tc4+", 0.1770326199], + ["Tc4+", "Ho2+", 0.223539678], + ["Ho2+", "Tc4+", 0.223539678], + ["Tc4+", "Er3+", 0.238313527], + ["Er3+", "Tc4+", 0.238313527], + ["Tc4+", "Tm3+", 0.1592408001], + ["Tm3+", "Tc4+", 0.1592408001], + ["Tc4+", "Tm2+", 0.2126224221], + ["Tm2+", "Tc4+", 0.2126224221], + ["Tc4+", "Yb3+", 0.1469834777], + ["Yb3+", "Tc4+", 0.1469834777], + ["Tc4+", "Yb2+", 0.0999251835], + ["Yb2+", "Tc4+", 0.0999251835], + ["Tc4+", "Lu3+", 0.1727885646], + ["Lu3+", "Tc4+", 0.1727885646], + ["Tc4+", "Hf3+", 0.0404240338], + ["Hf3+", "Tc4+", 0.0404240338], + ["Tc4+", "Hf2+", 0.1864323554], + ["Hf2+", "Tc4+", 0.1864323554], + ["Tc4+", "Hf4+", 0.1485141532], + ["Hf4+", "Tc4+", 0.1485141532], + ["Tc4+", "Ta5+", 0.1820073744], + ["Ta5+", "Tc4+", 0.1820073744], + ["Tc4+", "Ta3+", 0.0976296084], + ["Ta3+", "Tc4+", 0.0976296084], + ["Tc4+", "Ta4+", 0.1202996436], + ["Ta4+", "Tc4+", 0.1202996436], + ["Tc4+", "Ta2+", 0.1788931196], + ["Ta2+", "Tc4+", 0.1788931196], + ["Tc4+", "W6+", 0.3204920086], + ["W6+", "Tc4+", 0.3204920086], + ["Tc4+", "W4+", 0.3485891223], + ["W4+", "Tc4+", 0.3485891223], + ["Tc4+", "W2+", 0.3510914086], + ["W2+", "Tc4+", 0.3510914086], + ["Tc4+", "W3+", 0.3094272613], + ["W3+", "Tc4+", 0.3094272613], + ["Tc4+", "W5+", 0.4843091805], + ["W5+", "Tc4+", 0.4843091805], + ["Tc4+", "Re5+", 0.143500909], + ["Re5+", "Tc4+", 0.143500909], + ["Tc4+", "Re3+", 0.105691287], + ["Re3+", "Tc4+", 0.105691287], + ["Tc4+", "Re6+", 0.0852649879], + ["Re6+", "Tc4+", 0.0852649879], + ["Tc4+", "Re2+", 0.1161988954], + ["Re2+", "Tc4+", 0.1161988954], + ["Tc4+", "Re4+", 0.2126486674], + ["Re4+", "Tc4+", 0.2126486674], + ["Tc4+", "Re7+", 0.0921108316], + ["Re7+", "Tc4+", 0.0921108316], + ["Tc4+", "Os7+", 0.0082014104], + ["Os7+", "Tc4+", 0.0082014104], + ["Tc4+", "Os6+", 0.06651477], + ["Os6+", "Tc4+", 0.06651477], + ["Tc4+", "Os5+", 0.0149427894], + ["Os5+", "Tc4+", 0.0149427894], + ["Tc4+", "Os2-", 0.0270647098], + ["Os2-", "Tc4+", 0.0270647098], + ["Tc4+", "Os3+", -0.0432644169], + ["Os3+", "Tc4+", -0.0432644169], + ["Tc4+", "Os4+", 0.220726089], + ["Os4+", "Tc4+", 0.220726089], + ["Tc4+", "Os8+", 0.3694661109], + ["Os8+", "Tc4+", 0.3694661109], + ["Tc4+", "Os2+", 0.1330496856], + ["Os2+", "Tc4+", 0.1330496856], + ["Tc4+", "Ir3+", 0.1666446275], + ["Ir3+", "Tc4+", 0.1666446275], + ["Tc4+", "Ir4+", 0.2167927687], + ["Ir4+", "Tc4+", 0.2167927687], + ["Tc4+", "Ir5+", 0.1095016302], + ["Ir5+", "Tc4+", 0.1095016302], + ["Tc4+", "Ir6+", 0.2304699197], + ["Ir6+", "Tc4+", 0.2304699197], + ["Tc4+", "Pt2+", 0.2273401765], + ["Pt2+", "Tc4+", 0.2273401765], + ["Tc4+", "Pt2-", -0.0380076873], + ["Pt2-", "Tc4+", -0.0380076873], + ["Tc4+", "Pt4+", 0.3639405175], + ["Pt4+", "Tc4+", 0.3639405175], + ["Tc4+", "Pt3+", 0.2579399985], + ["Pt3+", "Tc4+", 0.2579399985], + ["Tc4+", "Pt5+", 0.2965384111], + ["Pt5+", "Tc4+", 0.2965384111], + ["Tc4+", "Pt6+", 0.3415817726], + ["Pt6+", "Tc4+", 0.3415817726], + ["Tc4+", "Au2+", 0.2319736202], + ["Au2+", "Tc4+", 0.2319736202], + ["Tc4+", "Au3+", 0.2381232564], + ["Au3+", "Tc4+", 0.2381232564], + ["Tc4+", "Au5+", 0.1294930607], + ["Au5+", "Tc4+", 0.1294930607], + ["Tc4+", "Au4+", 0.1963930921], + ["Au4+", "Tc4+", 0.1963930921], + ["Tc4+", "Hg2+", 0.3605137446], + ["Hg2+", "Tc4+", 0.3605137446], + ["Tc4+", "Tl3+", 0.431906158], + ["Tl3+", "Tc4+", 0.431906158], + ["Tc4+", "Tl2+", 0.1473327878], + ["Tl2+", "Tc4+", 0.1473327878], + ["Tc4+", "Pb2+", 0.3754421729], + ["Pb2+", "Tc4+", 0.3754421729], + ["Tc4+", "Pb3+", 0.4394810272], + ["Pb3+", "Tc4+", 0.4394810272], + ["Tc4+", "Pb4+", 0.1812962658], + ["Pb4+", "Tc4+", 0.1812962658], + ["Tc4+", "Bi3+", 0.4287911556], + ["Bi3+", "Tc4+", 0.4287911556], + ["Tc4+", "Bi5+", 0.4268254622], + ["Bi5+", "Tc4+", 0.4268254622], + ["Tc4+", "Bi2+", 0.2754312364], + ["Bi2+", "Tc4+", 0.2754312364], + ["Tc4+", "Bi3-", 0.0165436557], + ["Bi3-", "Tc4+", 0.0165436557], + ["Tc4+", "Bi4+", 0.1472720009], + ["Bi4+", "Tc4+", 0.1472720009], + ["Tc4+", "Ac3+", 0.1800975468], + ["Ac3+", "Tc4+", 0.1800975468], + ["Tc4+", "Th4+", 0.2167504409], + ["Th4+", "Tc4+", 0.2167504409], + ["Tc4+", "Th3+", 0.0469493047], + ["Th3+", "Tc4+", 0.0469493047], + ["Tc4+", "Pa4+", 0.1654193473], + ["Pa4+", "Tc4+", 0.1654193473], + ["Tc4+", "Pa5+", 0.2616967387], + ["Pa5+", "Tc4+", 0.2616967387], + ["Tc4+", "Pa3+", 0.105845962], + ["Pa3+", "Tc4+", 0.105845962], + ["Tc4+", "U6+", 0.1895393841], + ["U6+", "Tc4+", 0.1895393841], + ["Tc4+", "U4+", 0.1458181855], + ["U4+", "Tc4+", 0.1458181855], + ["Tc4+", "U3+", 0.0430262225], + ["U3+", "Tc4+", 0.0430262225], + ["Tc4+", "U2+", 0.0553432946], + ["U2+", "Tc4+", 0.0553432946], + ["Tc4+", "U5+", 0.2260160417], + ["U5+", "Tc4+", 0.2260160417], + ["Tc4+", "Np6+", 0.0984259659], + ["Np6+", "Tc4+", 0.0984259659], + ["Tc4+", "Np4+", 0.3394868497], + ["Np4+", "Tc4+", 0.3394868497], + ["Tc4+", "Np3+", 0.1117009184], + ["Np3+", "Tc4+", 0.1117009184], + ["Tc4+", "Np7+", 0.2791171022], + ["Np7+", "Tc4+", 0.2791171022], + ["Tc4+", "Np5+", 0.2349369823], + ["Np5+", "Tc4+", 0.2349369823], + ["Tc4+", "Pu7+", 0.1666018927], + ["Pu7+", "Tc4+", 0.1666018927], + ["Tc4+", "Pu6+", 0.2380325486], + ["Pu6+", "Tc4+", 0.2380325486], + ["Tc4+", "Pu3+", 0.1283530108], + ["Pu3+", "Tc4+", 0.1283530108], + ["Tc4+", "Pu4+", 0.2611603192], + ["Pu4+", "Tc4+", 0.2611603192], + ["Tc4+", "Pu5+", 0.2325665541], + ["Pu5+", "Tc4+", 0.2325665541], + ["Tc4+", "H1+", 0.1180463832], + ["H1+", "Tc4+", 0.1180463832], + ["Tc4+", "H1-", -0.1661404545], + ["H1-", "Tc4+", -0.1661404545], + ["Tc4+", "Li1+", 0.2633874674], + ["Li1+", "Tc4+", 0.2633874674], + ["Tc4+", "B1+", 0.2575592603], + ["B1+", "Tc4+", 0.2575592603], + ["Tc4+", "B1-", -0.0189648226], + ["B1-", "Tc4+", -0.0189648226], + ["Tc4+", "C1-", -0.1354263407], + ["C1-", "Tc4+", -0.1354263407], + ["Tc4+", "C1+", 0.2197234807], + ["C1+", "Tc4+", 0.2197234807], + ["Tc4+", "N1-", 0.020927105], + ["N1-", "Tc4+", 0.020927105], + ["Tc4+", "N1+", 0.2413358237], + ["N1+", "Tc4+", 0.2413358237], + ["Tc4+", "O1-", 0.1212941627], + ["O1-", "Tc4+", 0.1212941627], + ["Tc4+", 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["Tc4+", "Ga1+", 0.0561917772], + ["Ga1+", "Tc4+", 0.0561917772], + ["Tc4+", "As1-", -0.0931440465], + ["As1-", "Tc4+", -0.0931440465], + ["Tc4+", "As1+", 0.1228795995], + ["As1+", "Tc4+", 0.1228795995], + ["Tc4+", "Se1-", 0.1052834971], + ["Se1-", "Tc4+", 0.1052834971], + ["Tc4+", "Se1+", 0.3183391114], + ["Se1+", "Tc4+", 0.3183391114], + ["Tc4+", "Br1-", 0.1061902395], + ["Br1-", "Tc4+", 0.1061902395], + ["Tc4+", "Br1+", 0.0515828054], + ["Br1+", "Tc4+", 0.0515828054], + ["Tc4+", "Rb1+", 0.1992149908], + ["Rb1+", "Tc4+", 0.1992149908], + ["Tc4+", "Y1+", 0.1616722501], + ["Y1+", "Tc4+", 0.1616722501], + ["Tc4+", "Zr1+", -0.1345740626], + ["Zr1+", "Tc4+", -0.1345740626], + ["Tc4+", "Nb1+", 0.0162243032], + ["Nb1+", "Tc4+", 0.0162243032], + ["Tc4+", "Tc1-", -0.078740341], + ["Tc1-", "Tc4+", -0.078740341], + ["Tc4+", "Tc1+", 0.2585429569], + ["Tc1+", "Tc4+", 0.2585429569], + ["Tc4+", "Rh1+", 0.1549729398], + ["Rh1+", "Tc4+", 0.1549729398], + ["Tc4+", "Ag1+", 0.2923104074], + ["Ag1+", "Tc4+", 0.2923104074], + ["Tc4+", "In1+", 0.1801745649], + ["In1+", "Tc4+", 0.1801745649], + ["Tc4+", "Sb1-", 0.0153824036], + ["Sb1-", "Tc4+", 0.0153824036], + ["Tc4+", "Sb1+", 0.141451356], + ["Sb1+", "Tc4+", 0.141451356], + ["Tc4+", "Te1-", 0.2064402089], + ["Te1-", "Tc4+", 0.2064402089], + ["Tc4+", "Te1+", 0.4309023598], + ["Te1+", "Tc4+", 0.4309023598], + ["Tc4+", "I1-", 0.1226714934], + ["I1-", "Tc4+", 0.1226714934], + ["Tc4+", "I1+", 0.1039302239], + ["I1+", "Tc4+", 0.1039302239], + ["Tc4+", "Cs1+", 0.2060102002], + ["Cs1+", "Tc4+", 0.2060102002], + ["Tc4+", "La1+", 0.2261997526], + ["La1+", "Tc4+", 0.2261997526], + ["Tc4+", "Tb1+", 0.2841411397], + ["Tb1+", "Tc4+", 0.2841411397], + ["Tc4+", "Ta1+", -0.2120224688], + ["Ta1+", "Tc4+", -0.2120224688], + ["Tc4+", "Os1-", -0.172674142], + ["Os1-", "Tc4+", -0.172674142], + ["Tc4+", "Os1+", 0.3074936912], + ["Os1+", "Tc4+", 0.3074936912], + ["Tc4+", "Pt1-", -0.1119450289], + ["Pt1-", "Tc4+", -0.1119450289], + ["Tc4+", "Pt1+", 0.2317481717], + ["Pt1+", "Tc4+", 0.2317481717], + ["Tc4+", "Au1-", 0.043595813], + ["Au1-", "Tc4+", 0.043595813], + ["Tc4+", "Au1+", 0.2187524871], + ["Au1+", "Tc4+", 0.2187524871], + ["Tc4+", "Hg1+", 0.5213022489], + ["Hg1+", "Tc4+", 0.5213022489], + ["Tc4+", "Tl1+", 0.2929371706], + ["Tl1+", "Tc4+", 0.2929371706], + ["Tc4+", "Bi1+", 0.2244081524], + ["Bi1+", "Tc4+", 0.2244081524], + ["Tc3-", "Tc3-", 1.0], + ["Tc3-", "Tc3+", 0.0434568209], + ["Tc3+", "Tc3-", 0.0434568209], + ["Tc3-", "Tc7+", -0.0949190013], + ["Tc7+", "Tc3-", -0.0949190013], + ["Tc3-", "Tc5+", 0.025611196], + ["Tc5+", "Tc3-", 0.025611196], + ["Tc3-", "Tc6+", -0.02703428], + ["Tc6+", "Tc3-", -0.02703428], + ["Tc3-", "Tc2-", 0.1428961789], + ["Tc2-", "Tc3-", 0.1428961789], + ["Tc3-", "Tc2+", -0.1416508285], + ["Tc2+", "Tc3-", -0.1416508285], + ["Tc3-", "Ru2+", 0.1316509363], + ["Ru2+", "Tc3-", 0.1316509363], + ["Tc3-", "Ru6+", -0.2117115029], + ["Ru6+", "Tc3-", -0.2117115029], + ["Tc3-", "Ru4+", 0.100065961], + ["Ru4+", "Tc3-", 0.100065961], + ["Tc3-", "Ru5+", 0.072737562], + ["Ru5+", "Tc3-", 0.072737562], + ["Tc3-", "Ru3+", 0.1140975594], + ["Ru3+", "Tc3-", 0.1140975594], + ["Tc3-", "Rh4+", 0.0662350443], + ["Rh4+", "Tc3-", 0.0662350443], + ["Tc3-", "Rh3+", 0.2372476896], + ["Rh3+", "Tc3-", 0.2372476896], + ["Tc3-", "Pd2+", 0.0768019589], + ["Pd2+", "Tc3-", 0.0768019589], + ["Tc3-", "Pd4+", -0.1202877047], + ["Pd4+", "Tc3-", -0.1202877047], + ["Tc3-", "Pd3+", -0.1816476045], + ["Pd3+", "Tc3-", -0.1816476045], + ["Tc3-", "Ag3+", -0.2774544094], + ["Ag3+", "Tc3-", -0.2774544094], + ["Tc3-", "Ag2+", -0.2938761754], + ["Ag2+", "Tc3-", -0.2938761754], + ["Tc3-", "Cd2+", -0.0101882341], + ["Cd2+", "Tc3-", -0.0101882341], + ["Tc3-", "In3+", 0.0228321221], + ["In3+", "Tc3-", 0.0228321221], + ["Tc3-", "In2+", -0.0178280357], + ["In2+", "Tc3-", -0.0178280357], + ["Tc3-", "Sn4+", 0.1084410991], + ["Sn4+", "Tc3-", 0.1084410991], + ["Tc3-", "Sn3+", -0.1536173549], + ["Sn3+", "Tc3-", -0.1536173549], + ["Tc3-", "Sn2+", -0.0722590243], + ["Sn2+", "Tc3-", -0.0722590243], + ["Tc3-", "Sb5+", -0.1016795118], + ["Sb5+", "Tc3-", -0.1016795118], + ["Tc3-", "Sb2-", -0.1516700427], + ["Sb2-", "Tc3-", -0.1516700427], + ["Tc3-", "Sb3-", 0.0696863726], + ["Sb3-", "Tc3-", 0.0696863726], + ["Tc3-", "Sb3+", 0.0592344493], + ["Sb3+", "Tc3-", 0.0592344493], + ["Tc3-", "Sb4+", -0.3301383758], + ["Sb4+", "Tc3-", -0.3301383758], + ["Tc3-", "Te2-", 0.3622303852], + ["Te2-", "Tc3-", 0.3622303852], + ["Tc3-", "Te4+", -0.2729808789], + ["Te4+", "Tc3-", -0.2729808789], + ["Tc3-", "Te6+", -0.3632389892], + ["Te6+", "Tc3-", -0.3632389892], + ["Tc3-", "Te2+", -0.0935677483], + ["Te2+", "Tc3-", -0.0935677483], + ["Tc3-", "Te5+", -0.1433944553], + ["Te5+", "Tc3-", -0.1433944553], + ["Tc3-", "I3+", -0.2876476495], + ["I3+", "Tc3-", -0.2876476495], + ["Tc3-", "I7+", -0.2572311628], + ["I7+", "Tc3-", -0.2572311628], + ["Tc3-", "I5+", -0.2099510931], + ["I5+", "Tc3-", -0.2099510931], + ["Tc3-", "I2+", -0.1606153569], + ["I2+", "Tc3-", -0.1606153569], + ["Tc3-", "Ba2+", -0.2335692682], + ["Ba2+", "Tc3-", -0.2335692682], + ["Tc3-", "La3+", -0.0034849126], + ["La3+", "Tc3-", -0.0034849126], + ["Tc3-", "La2+", -0.0677440235], + ["La2+", "Tc3-", -0.0677440235], + ["Tc3-", "Ce3+", 0.1591838599], + ["Ce3+", "Tc3-", 0.1591838599], + ["Tc3-", "Ce2+", 0.0373210673], + ["Ce2+", "Tc3-", 0.0373210673], + ["Tc3-", "Ce4+", -0.0673288385], + ["Ce4+", "Tc3-", -0.0673288385], + ["Tc3-", "Pr3+", -0.1018888851], + ["Pr3+", "Tc3-", -0.1018888851], + ["Tc3-", "Pr4+", 0.1145297437], + ["Pr4+", "Tc3-", 0.1145297437], + ["Tc3-", "Pr2+", -0.1154898366], + ["Pr2+", "Tc3-", -0.1154898366], + ["Tc3-", "Nd3+", -0.0713131223], + ["Nd3+", "Tc3-", -0.0713131223], + ["Tc3-", "Nd2+", -0.1741304903], + ["Nd2+", "Tc3-", -0.1741304903], + ["Tc3-", "Pm3+", 0.1359312013], + ["Pm3+", "Tc3-", 0.1359312013], + ["Tc3-", "Sm3+", -0.0035530172], + ["Sm3+", "Tc3-", -0.0035530172], + ["Tc3-", "Sm2+", -0.1971397737], + ["Sm2+", "Tc3-", -0.1971397737], + ["Tc3-", "Eu2+", -0.1604354681], + ["Eu2+", "Tc3-", -0.1604354681], + ["Tc3-", "Eu3+", -0.1200114697], + ["Eu3+", "Tc3-", -0.1200114697], + ["Tc3-", "Gd2+", -0.1362439887], + ["Gd2+", "Tc3-", -0.1362439887], + ["Tc3-", "Gd3+", -0.1265148367], + ["Gd3+", "Tc3-", -0.1265148367], + ["Tc3-", "Tb3+", 0.1044400768], + ["Tb3+", "Tc3-", 0.1044400768], + ["Tc3-", "Tb2+", -0.2167994268], + ["Tb2+", "Tc3-", -0.2167994268], + ["Tc3-", "Tb4+", -0.0869491894], + ["Tb4+", "Tc3-", -0.0869491894], + ["Tc3-", "Dy3+", -0.0101393985], + ["Dy3+", "Tc3-", -0.0101393985], + ["Tc3-", "Dy2+", -0.1533982745], + ["Dy2+", "Tc3-", -0.1533982745], + ["Tc3-", "Ho3+", 0.011988999], + ["Ho3+", "Tc3-", 0.011988999], + ["Tc3-", "Ho2+", -0.0674289837], + ["Ho2+", "Tc3-", -0.0674289837], + ["Tc3-", "Er3+", 0.0295482773], + ["Er3+", "Tc3-", 0.0295482773], + ["Tc3-", "Tm3+", -0.032665672], + ["Tm3+", "Tc3-", -0.032665672], + ["Tc3-", "Tm2+", 0.0570963923], + ["Tm2+", "Tc3-", 0.0570963923], + ["Tc3-", "Yb3+", -0.1483976883], + ["Yb3+", "Tc3-", -0.1483976883], + ["Tc3-", "Yb2+", -0.0007365139], + ["Yb2+", "Tc3-", -0.0007365139], + ["Tc3-", "Lu3+", -0.0697411862], + ["Lu3+", "Tc3-", -0.0697411862], + ["Tc3-", "Hf3+", 0.1276835228], + ["Hf3+", "Tc3-", 0.1276835228], + ["Tc3-", "Hf2+", -0.0473210851], + ["Hf2+", "Tc3-", -0.0473210851], + ["Tc3-", "Hf4+", -0.0523743364], + ["Hf4+", "Tc3-", -0.0523743364], + ["Tc3-", "Ta5+", 0.0175009779], + ["Ta5+", "Tc3-", 0.0175009779], + ["Tc3-", "Ta3+", 0.0188497449], + ["Ta3+", "Tc3-", 0.0188497449], + ["Tc3-", "Ta4+", 0.1965654595], + ["Ta4+", "Tc3-", 0.1965654595], + ["Tc3-", "Ta2+", 0.099823747], + ["Ta2+", "Tc3-", 0.099823747], + ["Tc3-", "W6+", -0.1580807609], + ["W6+", "Tc3-", -0.1580807609], + ["Tc3-", "W4+", -0.0348013081], + ["W4+", "Tc3-", -0.0348013081], + ["Tc3-", "W2+", 0.08535843], + ["W2+", "Tc3-", 0.08535843], + ["Tc3-", "W3+", 0.0811407654], + ["W3+", "Tc3-", 0.0811407654], + ["Tc3-", "W5+", -0.1714322186], + ["W5+", "Tc3-", -0.1714322186], + ["Tc3-", "Re5+", 0.13258592], + ["Re5+", "Tc3-", 0.13258592], + ["Tc3-", "Re3+", 0.1777999177], + ["Re3+", "Tc3-", 0.1777999177], + ["Tc3-", "Re6+", 0.015213069], + ["Re6+", "Tc3-", 0.015213069], + ["Tc3-", "Re2+", 0.0552858958], + ["Re2+", "Tc3-", 0.0552858958], + ["Tc3-", "Re4+", 0.0964796939], + ["Re4+", "Tc3-", 0.0964796939], + ["Tc3-", "Re7+", 0.123492766], + ["Re7+", "Tc3-", 0.123492766], + ["Tc3-", "Os7+", -0.1308609056], + ["Os7+", "Tc3-", -0.1308609056], + ["Tc3-", "Os6+", -0.0549921019], + ["Os6+", "Tc3-", -0.0549921019], + ["Tc3-", "Os5+", 0.0652260089], + ["Os5+", "Tc3-", 0.0652260089], + ["Tc3-", "Os2-", 0.3780874632], + ["Os2-", "Tc3-", 0.3780874632], + ["Tc3-", "Os3+", 0.0499080525], + ["Os3+", "Tc3-", 0.0499080525], + ["Tc3-", "Os4+", 0.0885524226], + ["Os4+", "Tc3-", 0.0885524226], + ["Tc3-", "Os8+", -0.0230188791], + ["Os8+", "Tc3-", -0.0230188791], + ["Tc3-", "Os2+", -0.0184992151], + ["Os2+", "Tc3-", -0.0184992151], + ["Tc3-", "Ir3+", 0.0940722695], + ["Ir3+", "Tc3-", 0.0940722695], + ["Tc3-", "Ir4+", 0.1193596327], + ["Ir4+", "Tc3-", 0.1193596327], + ["Tc3-", "Ir5+", 0.109023931], + ["Ir5+", "Tc3-", 0.109023931], + ["Tc3-", "Ir6+", -0.1946578087], + ["Ir6+", "Tc3-", -0.1946578087], + ["Tc3-", "Pt2+", 0.1906475507], + ["Pt2+", "Tc3-", 0.1906475507], + ["Tc3-", "Pt2-", 0.3863129821], + ["Pt2-", "Tc3-", 0.3863129821], + ["Tc3-", "Pt4+", -0.0396198786], + ["Pt4+", "Tc3-", -0.0396198786], + ["Tc3-", "Pt3+", -0.0285036045], + ["Pt3+", "Tc3-", -0.0285036045], + ["Tc3-", "Pt5+", -0.0843803882], + ["Pt5+", "Tc3-", -0.0843803882], + ["Tc3-", "Pt6+", -0.1894260339], + ["Pt6+", "Tc3-", -0.1894260339], + ["Tc3-", "Au2+", -0.0531882936], + ["Au2+", "Tc3-", -0.0531882936], + ["Tc3-", "Au3+", -0.1058704243], + ["Au3+", "Tc3-", -0.1058704243], + ["Tc3-", "Au5+", -0.0765949558], + ["Au5+", "Tc3-", -0.0765949558], + ["Tc3-", "Au4+", -0.2063442045], + ["Au4+", "Tc3-", -0.2063442045], + ["Tc3-", "Hg2+", -0.0685210622], + ["Hg2+", "Tc3-", -0.0685210622], + ["Tc3-", "Tl3+", -0.2419653489], + ["Tl3+", "Tc3-", -0.2419653489], + ["Tc3-", "Tl2+", -0.0782738713], + ["Tl2+", "Tc3-", -0.0782738713], + ["Tc3-", "Pb2+", -0.0244787153], + ["Pb2+", "Tc3-", -0.0244787153], + ["Tc3-", "Pb3+", -0.2483061224], + ["Pb3+", "Tc3-", -0.2483061224], + ["Tc3-", "Pb4+", -0.099846871], + ["Pb4+", "Tc3-", -0.099846871], + ["Tc3-", "Bi3+", -0.0616677295], + ["Bi3+", "Tc3-", -0.0616677295], + ["Tc3-", "Bi5+", -0.2300577949], + ["Bi5+", "Tc3-", -0.2300577949], + ["Tc3-", "Bi2+", 0.0020687128], + ["Bi2+", "Tc3-", 0.0020687128], + ["Tc3-", "Bi3-", -0.0853852171], + ["Bi3-", "Tc3-", -0.0853852171], + ["Tc3-", "Bi4+", -0.0604453718], + ["Bi4+", "Tc3-", -0.0604453718], + ["Tc3-", "Ac3+", 0.0505669934], + ["Ac3+", "Tc3-", 0.0505669934], + ["Tc3-", "Th4+", -0.2140155402], + ["Th4+", "Tc3-", -0.2140155402], + ["Tc3-", "Th3+", 0.0203350615], + ["Th3+", "Tc3-", 0.0203350615], + ["Tc3-", "Pa4+", -0.0708190805], + ["Pa4+", "Tc3-", -0.0708190805], + ["Tc3-", "Pa5+", -0.2390329888], + ["Pa5+", "Tc3-", -0.2390329888], + ["Tc3-", "Pa3+", 0.2147639736], + ["Pa3+", "Tc3-", 0.2147639736], + ["Tc3-", "U6+", -0.2073314019], + ["U6+", "Tc3-", -0.2073314019], + ["Tc3-", "U4+", -0.0113356554], + ["U4+", "Tc3-", -0.0113356554], + ["Tc3-", "U3+", 0.0880816567], + ["U3+", "Tc3-", 0.0880816567], + ["Tc3-", "U2+", 0.1969703362], + ["U2+", "Tc3-", 0.1969703362], + ["Tc3-", "U5+", -0.0508433275], + ["U5+", "Tc3-", -0.0508433275], + ["Tc3-", "Np6+", -0.1160971497], + ["Np6+", "Tc3-", -0.1160971497], + ["Tc3-", "Np4+", -0.0057838509], + ["Np4+", "Tc3-", -0.0057838509], + ["Tc3-", "Np3+", 0.1603782767], + ["Np3+", "Tc3-", 0.1603782767], + ["Tc3-", "Np7+", -0.1384232862], + ["Np7+", "Tc3-", -0.1384232862], + ["Tc3-", "Np5+", 0.0655380182], + ["Np5+", "Tc3-", 0.0655380182], + ["Tc3-", "Pu7+", -0.2259650792], + ["Pu7+", "Tc3-", -0.2259650792], + ["Tc3-", "Pu6+", 0.0039332007], + ["Pu6+", "Tc3-", 0.0039332007], + ["Tc3-", "Pu3+", 0.2711332476], + ["Pu3+", "Tc3-", 0.2711332476], + ["Tc3-", "Pu4+", -0.0036523094], + ["Pu4+", "Tc3-", -0.0036523094], + ["Tc3-", "Pu5+", -0.1544150801], + ["Pu5+", "Tc3-", -0.1544150801], + ["Tc3-", "H1+", -0.110321071], + ["H1+", "Tc3-", -0.110321071], + ["Tc3-", "H1-", 0.3155180971], + ["H1-", "Tc3-", 0.3155180971], + ["Tc3-", "Li1+", -0.2227070434], + ["Li1+", "Tc3-", -0.2227070434], + ["Tc3-", "B1+", -0.078469883], + ["B1+", "Tc3-", -0.078469883], + ["Tc3-", "B1-", 0.0074836578], + ["B1-", "Tc3-", 0.0074836578], + ["Tc3-", "C1-", 0.0113875153], + ["C1-", "Tc3-", 0.0113875153], + ["Tc3-", "C1+", 0.0039286591], + ["C1+", "Tc3-", 0.0039286591], + ["Tc3-", "N1-", -0.0323481728], + ["N1-", "Tc3-", -0.0323481728], + ["Tc3-", "N1+", -0.1684447178], + ["N1+", "Tc3-", -0.1684447178], + ["Tc3-", "O1-", -0.2516706987], + ["O1-", "Tc3-", -0.2516706987], + ["Tc3-", "F1-", 0.1364988089], + ["F1-", "Tc3-", 0.1364988089], + ["Tc3-", "Na1+", -0.1194547815], + ["Na1+", "Tc3-", -0.1194547815], + ["Tc3-", "Si1-", -0.0789256883], + ["Si1-", "Tc3-", -0.0789256883], + ["Tc3-", "P1+", -0.0342642538], + ["P1+", "Tc3-", -0.0342642538], + ["Tc3-", "P1-", 0.0552539205], + ["P1-", "Tc3-", 0.0552539205], + ["Tc3-", "S1-", 0.0234221384], + ["S1-", "Tc3-", 0.0234221384], + ["Tc3-", "S1+", -0.0448737988], + ["S1+", "Tc3-", -0.0448737988], + ["Tc3-", "Cl1-", 0.2480300144], + ["Cl1-", "Tc3-", 0.2480300144], + ["Tc3-", "K1+", -0.1194829468], + ["K1+", "Tc3-", -0.1194829468], + ["Tc3-", "Sc1+", -0.0186954669], + ["Sc1+", "Tc3-", -0.0186954669], + ["Tc3-", "Mn1+", -0.2042205153], + ["Mn1+", "Tc3-", -0.2042205153], + ["Tc3-", "Fe1+", 0.0938659608], + ["Fe1+", "Tc3-", 0.0938659608], + ["Tc3-", "Co1+", 0.097401395], + ["Co1+", "Tc3-", 0.097401395], + ["Tc3-", "Ni1+", 0.1294865081], + ["Ni1+", "Tc3-", 0.1294865081], + ["Tc3-", "Cu1+", 0.0510908629], + ["Cu1+", "Tc3-", 0.0510908629], + ["Tc3-", "Ga1+", -0.0410761927], + ["Ga1+", "Tc3-", -0.0410761927], + ["Tc3-", "As1-", 0.0967882544], + ["As1-", "Tc3-", 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0.0252829761], + ["Tc6+", "Ac3+", -0.1185737737], + ["Ac3+", "Tc6+", -0.1185737737], + ["Tc6+", "Th4+", 0.1796383033], + ["Th4+", "Tc6+", 0.1796383033], + ["Tc6+", "Th3+", 0.0540194767], + ["Th3+", "Tc6+", 0.0540194767], + ["Tc6+", "Pa4+", -0.1018477458], + ["Pa4+", "Tc6+", -0.1018477458], + ["Tc6+", "Pa5+", 0.0806137939], + ["Pa5+", "Tc6+", 0.0806137939], + ["Tc6+", "Pa3+", -0.11589421], + ["Pa3+", "Tc6+", -0.11589421], + ["Tc6+", "U6+", -0.0297585654], + ["U6+", "Tc6+", -0.0297585654], + ["Tc6+", "U4+", 0.1723694904], + ["U4+", "Tc6+", 0.1723694904], + ["Tc6+", "U3+", 0.0903483105], + ["U3+", "Tc6+", 0.0903483105], + ["Tc6+", "U2+", 0.1168066994], + ["U2+", "Tc6+", 0.1168066994], + ["Tc6+", "U5+", 0.0894248345], + ["U5+", "Tc6+", 0.0894248345], + ["Tc6+", "Np6+", 0.136120184], + ["Np6+", "Tc6+", 0.136120184], + ["Tc6+", "Np4+", 0.2148668438], + ["Np4+", "Tc6+", 0.2148668438], + ["Tc6+", "Np3+", -0.1574688064], + ["Np3+", "Tc6+", -0.1574688064], + ["Tc6+", "Np7+", -0.1402264714], + ["Np7+", "Tc6+", -0.1402264714], + ["Tc6+", "Np5+", 0.0133628997], + ["Np5+", "Tc6+", 0.0133628997], + ["Tc6+", "Pu7+", -0.1179615409], + ["Pu7+", "Tc6+", -0.1179615409], + ["Tc6+", "Pu6+", -0.0714816753], + ["Pu6+", "Tc6+", -0.0714816753], + ["Tc6+", "Pu3+", -0.038123905], + ["Pu3+", "Tc6+", -0.038123905], + ["Tc6+", "Pu4+", 0.0904012399], + ["Pu4+", "Tc6+", 0.0904012399], + ["Tc6+", "Pu5+", -0.009438986], + ["Pu5+", "Tc6+", -0.009438986], + ["Tc6+", "H1+", 0.1567771553], + ["H1+", "Tc6+", 0.1567771553], + ["Tc6+", "H1-", -0.0885900925], + ["H1-", "Tc6+", -0.0885900925], + ["Tc6+", "Li1+", 0.0784954541], + ["Li1+", "Tc6+", 0.0784954541], + ["Tc6+", "B1+", -0.0434954309], + ["B1+", "Tc6+", -0.0434954309], + ["Tc6+", "B1-", -0.1673310823], + ["B1-", "Tc6+", -0.1673310823], + ["Tc6+", "C1-", 0.0761499295], + ["C1-", "Tc6+", 0.0761499295], + ["Tc6+", "C1+", 0.2605552721], + ["C1+", "Tc6+", 0.2605552721], + ["Tc6+", "N1-", 0.0151353035], + ["N1-", "Tc6+", 0.0151353035], + ["Tc6+", "N1+", 0.0039654607], + ["N1+", "Tc6+", 0.0039654607], + ["Tc6+", "O1-", -0.0649378856], + ["O1-", "Tc6+", -0.0649378856], + ["Tc6+", "F1-", -0.1743302453], + ["F1-", "Tc6+", -0.1743302453], + ["Tc6+", "Na1+", -0.0968257935], + ["Na1+", "Tc6+", -0.0968257935], + ["Tc6+", "Si1-", -0.1670799482], + ["Si1-", "Tc6+", -0.1670799482], + ["Tc6+", "P1+", 0.0291347872], + ["P1+", "Tc6+", 0.0291347872], + ["Tc6+", "P1-", -0.1450155434], + ["P1-", "Tc6+", -0.1450155434], + ["Tc6+", "S1-", 0.0736146713], + ["S1-", "Tc6+", 0.0736146713], + ["Tc6+", "S1+", 0.18707707], + ["S1+", "Tc6+", 0.18707707], + ["Tc6+", "Cl1-", -0.0254064191], + ["Cl1-", "Tc6+", -0.0254064191], + ["Tc6+", "K1+", 0.1057414818], + ["K1+", "Tc6+", 0.1057414818], + ["Tc6+", "Sc1+", 0.0030667752], + ["Sc1+", "Tc6+", 0.0030667752], + ["Tc6+", "Mn1+", -0.1781340316], + ["Mn1+", "Tc6+", -0.1781340316], + ["Tc6+", "Fe1+", -0.1502379112], + ["Fe1+", "Tc6+", -0.1502379112], + ["Tc6+", "Co1+", -0.1270188306], + ["Co1+", "Tc6+", -0.1270188306], + ["Tc6+", "Ni1+", -0.1136019953], + ["Ni1+", "Tc6+", -0.1136019953], + ["Tc6+", "Cu1+", -0.1642479338], + ["Cu1+", "Tc6+", -0.1642479338], + ["Tc6+", "Ga1+", 0.0413178059], + ["Ga1+", "Tc6+", 0.0413178059], + ["Tc6+", "As1-", -0.2502165813], + ["As1-", "Tc6+", -0.2502165813], + ["Tc6+", "As1+", -0.1591265496], + ["As1+", "Tc6+", -0.1591265496], + ["Tc6+", "Se1-", 0.091896015], + ["Se1-", "Tc6+", 0.091896015], + ["Tc6+", "Se1+", -0.0285618017], + ["Se1+", "Tc6+", -0.0285618017], + ["Tc6+", "Br1-", -0.0352502144], + ["Br1-", "Tc6+", -0.0352502144], + ["Tc6+", "Br1+", 0.2792511], + ["Br1+", "Tc6+", 0.2792511], + ["Tc6+", "Rb1+", -0.0028210408], + ["Rb1+", "Tc6+", -0.0028210408], + ["Tc6+", "Y1+", 0.07550531], + ["Y1+", "Tc6+", 0.07550531], + ["Tc6+", "Zr1+", -0.049289741], + ["Zr1+", "Tc6+", -0.049289741], + ["Tc6+", "Nb1+", -0.0016796728], + ["Nb1+", "Tc6+", -0.0016796728], + ["Tc6+", "Tc1-", -0.0761302259], + ["Tc1-", "Tc6+", -0.0761302259], + ["Tc6+", "Tc1+", -0.0912478426], + ["Tc1+", "Tc6+", -0.0912478426], + ["Tc6+", "Rh1+", -0.1929300703], + ["Rh1+", "Tc6+", -0.1929300703], + ["Tc6+", "Ag1+", -0.0517550279], + ["Ag1+", "Tc6+", -0.0517550279], + ["Tc6+", "In1+", 0.0534234857], + ["In1+", "Tc6+", 0.0534234857], + ["Tc6+", "Sb1-", -0.0903031351], + ["Sb1-", "Tc6+", -0.0903031351], + ["Tc6+", "Sb1+", 0.3463497685], + ["Sb1+", "Tc6+", 0.3463497685], + ["Tc6+", "Te1-", 0.0501838008], + ["Te1-", "Tc6+", 0.0501838008], + ["Tc6+", "Te1+", 0.1434923395], + ["Te1+", "Tc6+", 0.1434923395], + ["Tc6+", "I1-", -0.1204009805], + ["I1-", "Tc6+", -0.1204009805], + ["Tc6+", "I1+", 0.2339438696], + ["I1+", "Tc6+", 0.2339438696], + ["Tc6+", "Cs1+", 0.0368716338], + ["Cs1+", "Tc6+", 0.0368716338], + ["Tc6+", "La1+", -0.2344930013], + ["La1+", "Tc6+", -0.2344930013], + ["Tc6+", "Tb1+", 0.0622562603], + ["Tb1+", "Tc6+", 0.0622562603], + ["Tc6+", "Ta1+", -0.0680194984], + ["Ta1+", "Tc6+", -0.0680194984], + ["Tc6+", "Os1-", -0.0538179463], + ["Os1-", "Tc6+", -0.0538179463], + ["Tc6+", "Os1+", 0.3682422226], + ["Os1+", "Tc6+", 0.3682422226], + ["Tc6+", "Pt1-", -0.0046602228], + ["Pt1-", "Tc6+", -0.0046602228], + ["Tc6+", "Pt1+", -0.0592410122], + ["Pt1+", "Tc6+", -0.0592410122], + ["Tc6+", "Au1-", 0.0992508723], + ["Au1-", "Tc6+", 0.0992508723], + ["Tc6+", "Au1+", 0.0514908182], + ["Au1+", "Tc6+", 0.0514908182], + ["Tc6+", "Hg1+", 0.0950351557], + ["Hg1+", "Tc6+", 0.0950351557], + ["Tc6+", "Tl1+", 0.1456820588], + ["Tl1+", "Tc6+", 0.1456820588], + ["Tc6+", "Bi1+", -0.1404108226], + ["Bi1+", "Tc6+", -0.1404108226], + ["Tc2-", "Tc2-", 1.0], + ["Tc2-", "Tc2+", 0.0273904413], + ["Tc2+", "Tc2-", 0.0273904413], + ["Tc2-", "Ru2+", 0.1501353153], + ["Ru2+", "Tc2-", 0.1501353153], + ["Tc2-", "Ru6+", -0.1497576357], + ["Ru6+", "Tc2-", -0.1497576357], + ["Tc2-", "Ru4+", -0.2190017889], + ["Ru4+", "Tc2-", -0.2190017889], + ["Tc2-", "Ru5+", -0.0156503362], + ["Ru5+", "Tc2-", -0.0156503362], + ["Tc2-", "Ru3+", 0.1130702302], + ["Ru3+", "Tc2-", 0.1130702302], + ["Tc2-", "Rh4+", 0.1056073635], + ["Rh4+", "Tc2-", 0.1056073635], + ["Tc2-", "Rh3+", 0.0867754848], + ["Rh3+", "Tc2-", 0.0867754848], + ["Tc2-", "Pd2+", 0.2024471726], + ["Pd2+", "Tc2-", 0.2024471726], + ["Tc2-", "Pd4+", -0.0165802132], + ["Pd4+", "Tc2-", -0.0165802132], + ["Tc2-", "Pd3+", 0.2460055782], + ["Pd3+", "Tc2-", 0.2460055782], + ["Tc2-", "Ag3+", -0.0173383982], + ["Ag3+", "Tc2-", -0.0173383982], + ["Tc2-", "Ag2+", -0.04037767], + ["Ag2+", "Tc2-", -0.04037767], + ["Tc2-", "Cd2+", -0.0031848058], + ["Cd2+", "Tc2-", -0.0031848058], + ["Tc2-", "In3+", 0.1714747126], + ["In3+", "Tc2-", 0.1714747126], + ["Tc2-", "In2+", 0.1540019545], + ["In2+", "Tc2-", 0.1540019545], + ["Tc2-", "Sn4+", -0.0348065348], + ["Sn4+", "Tc2-", -0.0348065348], + ["Tc2-", "Sn3+", -0.0198293145], + ["Sn3+", "Tc2-", -0.0198293145], + ["Tc2-", "Sn2+", 0.1362333253], + ["Sn2+", "Tc2-", 0.1362333253], + ["Tc2-", "Sb5+", -0.19743732], + ["Sb5+", "Tc2-", -0.19743732], + ["Tc2-", "Sb2-", 0.1825484322], + ["Sb2-", "Tc2-", 0.1825484322], + ["Tc2-", "Sb3-", 0.1893487257], + ["Sb3-", "Tc2-", 0.1893487257], + ["Tc2-", "Sb3+", 0.0654114081], + ["Sb3+", "Tc2-", 0.0654114081], + ["Tc2-", "Sb4+", 0.012339568], + ["Sb4+", "Tc2-", 0.012339568], + ["Tc2-", "Te2-", 0.2423925143], + ["Te2-", "Tc2-", 0.2423925143], + ["Tc2-", "Te4+", -0.1552447777], + ["Te4+", "Tc2-", -0.1552447777], + ["Tc2-", "Te6+", -0.1284328868], + ["Te6+", "Tc2-", -0.1284328868], + ["Tc2-", "Te2+", 0.1161079093], + ["Te2+", "Tc2-", 0.1161079093], + ["Tc2-", "Te5+", 0.0572184045], + ["Te5+", "Tc2-", 0.0572184045], + ["Tc2-", "I3+", -0.2116944963], + ["I3+", "Tc2-", -0.2116944963], + ["Tc2-", "I7+", -0.0836656589], + ["I7+", "Tc2-", -0.0836656589], + ["Tc2-", "I5+", -0.3065695139], + ["I5+", "Tc2-", -0.3065695139], + ["Tc2-", "I2+", -0.0316923305], + ["I2+", "Tc2-", -0.0316923305], + ["Tc2-", "Ba2+", -0.007644962], + ["Ba2+", "Tc2-", -0.007644962], + ["Tc2-", "La3+", 0.0883870335], + ["La3+", "Tc2-", 0.0883870335], + ["Tc2-", "La2+", 0.1897585622], + ["La2+", "Tc2-", 0.1897585622], + ["Tc2-", "Ce3+", 0.2253571576], + ["Ce3+", "Tc2-", 0.2253571576], + ["Tc2-", "Ce2+", 0.2787165604], + ["Ce2+", "Tc2-", 0.2787165604], + ["Tc2-", "Ce4+", 0.2652232125], + ["Ce4+", "Tc2-", 0.2652232125], + ["Tc2-", "Pr3+", 0.3130318716], + ["Pr3+", "Tc2-", 0.3130318716], + ["Tc2-", "Pr4+", 0.0130827254], + ["Pr4+", "Tc2-", 0.0130827254], + ["Tc2-", "Pr2+", 0.115187452], + ["Pr2+", "Tc2-", 0.115187452], + ["Tc2-", "Nd3+", 0.1010194515], + ["Nd3+", "Tc2-", 0.1010194515], + ["Tc2-", "Nd2+", 0.1667789368], + ["Nd2+", "Tc2-", 0.1667789368], + ["Tc2-", "Pm3+", 0.1597355432], + ["Pm3+", "Tc2-", 0.1597355432], + ["Tc2-", "Sm3+", 0.1218404802], + ["Sm3+", "Tc2-", 0.1218404802], + ["Tc2-", "Sm2+", 0.11927587], + ["Sm2+", "Tc2-", 0.11927587], + ["Tc2-", "Eu2+", -0.0155489506], + ["Eu2+", "Tc2-", -0.0155489506], + ["Tc2-", "Eu3+", 0.0846148607], + ["Eu3+", "Tc2-", 0.0846148607], + ["Tc2-", "Gd2+", 0.074078012], + ["Gd2+", "Tc2-", 0.074078012], + ["Tc2-", "Gd3+", 0.0602238096], + ["Gd3+", "Tc2-", 0.0602238096], + ["Tc2-", "Tb3+", 0.2558201467], + ["Tb3+", "Tc2-", 0.2558201467], + ["Tc2-", "Tb2+", 0.3343434315], + ["Tb2+", "Tc2-", 0.3343434315], + ["Tc2-", "Tb4+", 0.3359326025], + ["Tb4+", "Tc2-", 0.3359326025], + ["Tc2-", "Dy3+", 0.1110153331], + ["Dy3+", "Tc2-", 0.1110153331], + ["Tc2-", "Dy2+", 0.1716885542], + ["Dy2+", "Tc2-", 0.1716885542], + ["Tc2-", "Ho3+", 0.0960937478], + ["Ho3+", "Tc2-", 0.0960937478], + ["Tc2-", "Ho2+", 0.1298218424], + ["Ho2+", "Tc2-", 0.1298218424], + ["Tc2-", "Er3+", 0.2273012052], + ["Er3+", "Tc2-", 0.2273012052], + ["Tc2-", "Tm3+", 0.056694054], + ["Tm3+", "Tc2-", 0.056694054], + ["Tc2-", "Tm2+", 0.2593451442], + ["Tm2+", "Tc2-", 0.2593451442], + ["Tc2-", "Yb3+", 0.1293765625], + ["Yb3+", "Tc2-", 0.1293765625], + ["Tc2-", "Yb2+", 0.2147870887], + ["Yb2+", "Tc2-", 0.2147870887], + ["Tc2-", "Lu3+", 0.0604861406], + ["Lu3+", "Tc2-", 0.0604861406], + ["Tc2-", "Hf3+", 0.024402432], + ["Hf3+", "Tc2-", 0.024402432], + ["Tc2-", "Hf2+", -0.288760622], + ["Hf2+", "Tc2-", -0.288760622], + ["Tc2-", "Hf4+", 0.2690151504], + ["Hf4+", "Tc2-", 0.2690151504], + ["Tc2-", "Ta5+", 0.1791215527], + ["Ta5+", "Tc2-", 0.1791215527], + ["Tc2-", "Ta3+", 0.1514563991], + ["Ta3+", "Tc2-", 0.1514563991], + ["Tc2-", "Ta4+", 0.1967302723], + ["Ta4+", "Tc2-", 0.1967302723], + ["Tc2-", "Ta2+", 0.2159381068], + ["Ta2+", "Tc2-", 0.2159381068], + ["Tc2-", "W6+", -0.1857197885], + ["W6+", "Tc2-", -0.1857197885], + ["Tc2-", "W4+", 0.0546229302], + ["W4+", "Tc2-", 0.0546229302], + ["Tc2-", "W2+", 0.0450670557], + ["W2+", "Tc2-", 0.0450670557], + ["Tc2-", "W3+", -0.2845579127], + ["W3+", "Tc2-", -0.2845579127], + ["Tc2-", "W5+", 0.0026786739], + ["W5+", "Tc2-", 0.0026786739], + ["Tc2-", "Re5+", 0.2263125252], + ["Re5+", "Tc2-", 0.2263125252], + ["Tc2-", "Re3+", 0.2045099476], + ["Re3+", "Tc2-", 0.2045099476], + ["Tc2-", "Re6+", 0.0831757497], + ["Re6+", "Tc2-", 0.0831757497], + ["Tc2-", "Re2+", 0.0525921058], + ["Re2+", "Tc2-", 0.0525921058], + ["Tc2-", "Re4+", 0.0948773746], + ["Re4+", "Tc2-", 0.0948773746], + ["Tc2-", "Re7+", -0.0981295608], + ["Re7+", "Tc2-", -0.0981295608], + ["Tc2-", "Os7+", -0.2471024978], + ["Os7+", "Tc2-", -0.2471024978], + ["Tc2-", "Os6+", 0.0540607759], + ["Os6+", "Tc2-", 0.0540607759], + ["Tc2-", "Os5+", 0.0799140592], + ["Os5+", "Tc2-", 0.0799140592], + ["Tc2-", "Os2-", 0.3101045634], + ["Os2-", "Tc2-", 0.3101045634], + ["Tc2-", "Os3+", 0.1904826179], + ["Os3+", "Tc2-", 0.1904826179], + ["Tc2-", "Os4+", 0.1360801489], + ["Os4+", "Tc2-", 0.1360801489], + ["Tc2-", "Os8+", -0.0650089757], + ["Os8+", "Tc2-", -0.0650089757], + ["Tc2-", "Os2+", -0.0508732702], + ["Os2+", "Tc2-", -0.0508732702], + ["Tc2-", "Ir3+", -0.0710823142], + ["Ir3+", "Tc2-", -0.0710823142], + ["Tc2-", "Ir4+", -0.046088224], + ["Ir4+", "Tc2-", -0.046088224], + ["Tc2-", "Ir5+", 0.0092678619], + ["Ir5+", "Tc2-", 0.0092678619], + ["Tc2-", "Ir6+", 0.0113030053], + ["Ir6+", "Tc2-", 0.0113030053], + ["Tc2-", "Pt2+", -0.0727683226], + ["Pt2+", "Tc2-", -0.0727683226], + ["Tc2-", "Pt2-", 0.1404669772], + ["Pt2-", "Tc2-", 0.1404669772], + ["Tc2-", "Pt4+", -0.1300048703], + ["Pt4+", "Tc2-", -0.1300048703], + ["Tc2-", "Pt3+", -0.0071865348], + ["Pt3+", "Tc2-", -0.0071865348], + ["Tc2-", "Pt5+", -0.0774740563], + ["Pt5+", "Tc2-", -0.0774740563], + ["Tc2-", "Pt6+", -0.2800457878], + ["Pt6+", "Tc2-", -0.2800457878], + ["Tc2-", "Au2+", 0.0263137778], + ["Au2+", "Tc2-", 0.0263137778], + ["Tc2-", "Au3+", -0.0220899942], + ["Au3+", "Tc2-", -0.0220899942], + ["Tc2-", "Au5+", -0.16935532], + ["Au5+", "Tc2-", -0.16935532], + ["Tc2-", "Au4+", 0.023681051], + ["Au4+", "Tc2-", 0.023681051], + ["Tc2-", "Hg2+", -0.0029138212], + ["Hg2+", "Tc2-", -0.0029138212], + ["Tc2-", "Tl3+", 0.0286053435], + ["Tl3+", "Tc2-", 0.0286053435], + ["Tc2-", "Tl2+", -0.0714685156], + ["Tl2+", "Tc2-", -0.0714685156], + ["Tc2-", "Pb2+", -0.0138151874], + ["Pb2+", "Tc2-", -0.0138151874], + ["Tc2-", "Pb3+", -0.1486747925], + ["Pb3+", "Tc2-", -0.1486747925], + ["Tc2-", "Pb4+", -0.2037788828], + ["Pb4+", "Tc2-", -0.2037788828], + ["Tc2-", "Bi3+", 0.0419342978], + ["Bi3+", "Tc2-", 0.0419342978], + ["Tc2-", "Bi5+", -0.1675642329], + ["Bi5+", "Tc2-", -0.1675642329], + ["Tc2-", "Bi2+", 0.0675706469], + ["Bi2+", "Tc2-", 0.0675706469], + ["Tc2-", "Bi3-", 0.2818071664], + ["Bi3-", "Tc2-", 0.2818071664], + ["Tc2-", "Bi4+", -0.1270015318], + ["Bi4+", "Tc2-", -0.1270015318], + ["Tc2-", "Ac3+", 0.0170661384], + ["Ac3+", "Tc2-", 0.0170661384], + ["Tc2-", "Th4+", 0.4262358933], + ["Th4+", "Tc2-", 0.4262358933], + ["Tc2-", "Th3+", 0.0864784269], + ["Th3+", "Tc2-", 0.0864784269], + ["Tc2-", "Pa4+", -0.0769183509], + ["Pa4+", "Tc2-", -0.0769183509], + ["Tc2-", "Pa5+", -0.1185621469], + ["Pa5+", "Tc2-", -0.1185621469], + ["Tc2-", "Pa3+", -0.0175805289], + ["Pa3+", "Tc2-", -0.0175805289], + ["Tc2-", "U6+", -0.0261794594], + ["U6+", "Tc2-", -0.0261794594], + ["Tc2-", "U4+", 0.243254096], + ["U4+", "Tc2-", 0.243254096], + ["Tc2-", "U3+", 0.1158052987], + ["U3+", "Tc2-", 0.1158052987], + ["Tc2-", "U2+", 0.1726955858], + ["U2+", "Tc2-", 0.1726955858], + ["Tc2-", "U5+", 0.1609117725], + ["U5+", "Tc2-", 0.1609117725], + ["Tc2-", "Np6+", 0.0205288182], + ["Np6+", "Tc2-", 0.0205288182], + ["Tc2-", "Np4+", 0.0188095343], + ["Np4+", "Tc2-", 0.0188095343], + ["Tc2-", "Np3+", -0.0198062044], + ["Np3+", "Tc2-", -0.0198062044], + ["Tc2-", "Np7+", -0.2485967262], + ["Np7+", "Tc2-", -0.2485967262], + ["Tc2-", "Np5+", 0.0608051463], + ["Np5+", "Tc2-", 0.0608051463], + ["Tc2-", "Pu7+", -0.2450648737], + ["Pu7+", "Tc2-", -0.2450648737], + ["Tc2-", "Pu6+", 0.0100964335], + ["Pu6+", "Tc2-", 0.0100964335], + ["Tc2-", "Pu3+", 0.0083953132], + ["Pu3+", "Tc2-", 0.0083953132], + ["Tc2-", "Pu4+", -0.023628108], + ["Pu4+", "Tc2-", -0.023628108], + ["Tc2-", "Pu5+", 0.0262153403], + ["Pu5+", "Tc2-", 0.0262153403], + ["Tc2-", "H1+", -0.3099040883], + ["H1+", "Tc2-", -0.3099040883], + ["Tc2-", "H1-", -0.2616799156], + ["H1-", "Tc2-", -0.2616799156], + ["Tc2-", "Li1+", -0.1488789805], + ["Li1+", "Tc2-", -0.1488789805], + ["Tc2-", "B1+", -0.2297788093], + ["B1+", "Tc2-", -0.2297788093], + ["Tc2-", "B1-", 0.2437581509], + ["B1-", "Tc2-", 0.2437581509], + ["Tc2-", "C1-", -0.0780801002], + ["C1-", "Tc2-", -0.0780801002], + ["Tc2-", "C1+", -0.1232178284], + ["C1+", "Tc2-", -0.1232178284], + ["Tc2-", "N1-", -0.3095850314], + ["N1-", "Tc2-", -0.3095850314], + ["Tc2-", "N1+", -0.3080797799], + ["N1+", "Tc2-", -0.3080797799], + ["Tc2-", "O1-", 0.076871688], + ["O1-", "Tc2-", 0.076871688], + ["Tc2-", "F1-", 0.2981689594], + ["F1-", "Tc2-", 0.2981689594], + ["Tc2-", "Na1+", -0.1012453162], + ["Na1+", "Tc2-", -0.1012453162], + ["Tc2-", "Si1-", 0.1278605479], + ["Si1-", "Tc2-", 0.1278605479], + ["Tc2-", "P1+", 0.1219095224], + ["P1+", "Tc2-", 0.1219095224], + ["Tc2-", "P1-", 0.0833403915], + ["P1-", "Tc2-", 0.0833403915], + ["Tc2-", "S1-", 0.1154051052], + ["S1-", "Tc2-", 0.1154051052], + ["Tc2-", "S1+", -0.2542559667], + ["S1+", "Tc2-", -0.2542559667], + ["Tc2-", "Cl1-", 0.1345042135], + ["Cl1-", "Tc2-", 0.1345042135], + ["Tc2-", "K1+", 0.0018405863], + ["K1+", "Tc2-", 0.0018405863], + ["Tc2-", "Sc1+", 0.2225340207], + ["Sc1+", "Tc2-", 0.2225340207], + ["Tc2-", "Mn1+", 0.1531490434], + ["Mn1+", "Tc2-", 0.1531490434], + ["Tc2-", "Fe1+", 0.0899728772], + ["Fe1+", "Tc2-", 0.0899728772], + ["Tc2-", "Co1+", 0.0809137985], + ["Co1+", "Tc2-", 0.0809137985], + ["Tc2-", "Ni1+", 0.0518048229], + ["Ni1+", "Tc2-", 0.0518048229], + ["Tc2-", "Cu1+", 0.2291166272], + ["Cu1+", "Tc2-", 0.2291166272], + ["Tc2-", "Ga1+", 0.1722804102], + ["Ga1+", "Tc2-", 0.1722804102], + ["Tc2-", "As1-", 0.0349406047], + ["As1-", "Tc2-", 0.0349406047], + ["Tc2-", "As1+", 0.0736103886], + ["As1+", "Tc2-", 0.0736103886], + ["Tc2-", "Se1-", 0.269933403], + ["Se1-", "Tc2-", 0.269933403], + ["Tc2-", "Se1+", -0.1313053316], + ["Se1+", "Tc2-", -0.1313053316], + ["Tc2-", "Br1-", 0.1895190041], + ["Br1-", "Tc2-", 0.1895190041], + ["Tc2-", "Br1+", -0.1847467783], + ["Br1+", "Tc2-", -0.1847467783], + ["Tc2-", "Rb1+", -0.1165512831], + ["Rb1+", "Tc2-", -0.1165512831], + ["Tc2-", "Y1+", 0.1404173449], + ["Y1+", "Tc2-", 0.1404173449], + ["Tc2-", "Zr1+", 0.1280415702], + ["Zr1+", "Tc2-", 0.1280415702], + ["Tc2-", "Nb1+", 0.2368954966], + ["Nb1+", "Tc2-", 0.2368954966], + ["Tc2-", "Tc1-", 0.0421578837], + ["Tc1-", "Tc2-", 0.0421578837], + ["Tc2-", "Tc1+", -0.1253226575], + ["Tc1+", "Tc2-", -0.1253226575], + ["Tc2-", "Rh1+", 0.31729088], + ["Rh1+", "Tc2-", 0.31729088], + ["Tc2-", "Ag1+", 0.119182053], + ["Ag1+", "Tc2-", 0.119182053], + ["Tc2-", "In1+", 0.3421859765], + ["In1+", "Tc2-", 0.3421859765], + ["Tc2-", "Sb1-", 0.0616793746], + ["Sb1-", "Tc2-", 0.0616793746], + ["Tc2-", "Sb1+", 0.1501004384], + ["Sb1+", "Tc2-", 0.1501004384], + ["Tc2-", "Te1-", 0.2355876916], + ["Te1-", "Tc2-", 0.2355876916], + ["Tc2-", "Te1+", -0.0087486163], + ["Te1+", "Tc2-", -0.0087486163], + ["Tc2-", "I1-", 0.1396335378], + ["I1-", "Tc2-", 0.1396335378], + ["Tc2-", "I1+", -0.1666555689], + ["I1+", "Tc2-", -0.1666555689], + ["Tc2-", "Cs1+", -0.0167755215], + ["Cs1+", "Tc2-", -0.0167755215], + ["Tc2-", "La1+", 0.1137795587], + ["La1+", "Tc2-", 0.1137795587], + ["Tc2-", "Tb1+", 0.1655108072], + ["Tb1+", "Tc2-", 0.1655108072], + ["Tc2-", "Ta1+", 0.3391412992], + ["Ta1+", "Tc2-", 0.3391412992], + ["Tc2-", "Os1-", 0.357421154], + ["Os1-", "Tc2-", 0.357421154], + ["Tc2-", "Os1+", -0.0336435826], + ["Os1+", "Tc2-", -0.0336435826], + ["Tc2-", "Pt1-", 0.5284752986], + ["Pt1-", "Tc2-", 0.5284752986], + ["Tc2-", "Pt1+", -0.0584751139], + ["Pt1+", "Tc2-", -0.0584751139], + ["Tc2-", "Au1-", 0.0246521788], + ["Au1-", "Tc2-", 0.0246521788], + ["Tc2-", "Au1+", -0.1909336926], + ["Au1+", "Tc2-", -0.1909336926], + ["Tc2-", "Hg1+", -0.0299922694], + ["Hg1+", "Tc2-", -0.0299922694], + ["Tc2-", "Tl1+", 0.1407261264], + ["Tl1+", "Tc2-", 0.1407261264], + ["Tc2-", "Bi1+", 0.0913167265], + ["Bi1+", "Tc2-", 0.0913167265], + ["Tc2+", "Tc2+", 1.0], + ["Tc2+", "Ru2+", 0.0061764055], + ["Ru2+", "Tc2+", 0.0061764055], + ["Tc2+", "Ru6+", 0.2974826904], + ["Ru6+", "Tc2+", 0.2974826904], + ["Tc2+", "Ru4+", 0.2748059938], + ["Ru4+", "Tc2+", 0.2748059938], + ["Tc2+", "Ru5+", 0.0636355482], + ["Ru5+", "Tc2+", 0.0636355482], + ["Tc2+", "Ru3+", 0.2160757135], + ["Ru3+", "Tc2+", 0.2160757135], + ["Tc2+", "Rh4+", 0.1673390728], + ["Rh4+", "Tc2+", 0.1673390728], + ["Tc2+", "Rh3+", 0.1565147867], + ["Rh3+", "Tc2+", 0.1565147867], + ["Tc2+", "Pd2+", 0.124390682], + ["Pd2+", "Tc2+", 0.124390682], + ["Tc2+", "Pd4+", 0.2440474589], + ["Pd4+", "Tc2+", 0.2440474589], + ["Tc2+", "Pd3+", 0.1880486801], + ["Pd3+", "Tc2+", 0.1880486801], + ["Tc2+", "Ag3+", -0.061089996], + ["Ag3+", "Tc2+", -0.061089996], + ["Tc2+", "Ag2+", 0.023976845], + ["Ag2+", "Tc2+", 0.023976845], + ["Tc2+", "Cd2+", 0.169634673], + ["Cd2+", "Tc2+", 0.169634673], + ["Tc2+", "In3+", 0.2503230169], + ["In3+", "Tc2+", 0.2503230169], + ["Tc2+", "In2+", 0.296975131], + ["In2+", "Tc2+", 0.296975131], + ["Tc2+", "Sn4+", 0.1803131291], + ["Sn4+", "Tc2+", 0.1803131291], + ["Tc2+", "Sn3+", -0.0390578649], + ["Sn3+", "Tc2+", -0.0390578649], + ["Tc2+", "Sn2+", 0.2043395517], + ["Sn2+", "Tc2+", 0.2043395517], + ["Tc2+", "Sb5+", 0.2191891256], + ["Sb5+", "Tc2+", 0.2191891256], + ["Tc2+", "Sb2-", 0.0771676824], + ["Sb2-", "Tc2+", 0.0771676824], + ["Tc2+", "Sb3-", -0.0160714701], + ["Sb3-", "Tc2+", -0.0160714701], + ["Tc2+", "Sb3+", 0.1965394535], + ["Sb3+", "Tc2+", 0.1965394535], + ["Tc2+", "Sb4+", 0.2483125714], + ["Sb4+", "Tc2+", 0.2483125714], + ["Tc2+", "Te2-", 0.1925952532], + ["Te2-", "Tc2+", 0.1925952532], + ["Tc2+", "Te4+", 0.4151125653], + ["Te4+", "Tc2+", 0.4151125653], + ["Tc2+", "Te6+", 0.2318904367], + ["Te6+", "Tc2+", 0.2318904367], + ["Tc2+", "Te2+", 0.2459098122], + ["Te2+", "Tc2+", 0.2459098122], + ["Tc2+", "Te5+", 0.290771183], + ["Te5+", "Tc2+", 0.290771183], + ["Tc2+", "I3+", 0.3460241237], + ["I3+", "Tc2+", 0.3460241237], + ["Tc2+", "I7+", -0.0149298748], + ["I7+", "Tc2+", -0.0149298748], + ["Tc2+", "I5+", 0.1844676337], + ["I5+", "Tc2+", 0.1844676337], + ["Tc2+", "I2+", 0.1075913324], + ["I2+", "Tc2+", 0.1075913324], + ["Tc2+", "Ba2+", 0.2271316115], + ["Ba2+", "Tc2+", 0.2271316115], + ["Tc2+", "La3+", 0.306507335], + ["La3+", "Tc2+", 0.306507335], + ["Tc2+", "La2+", 0.2889028673], + ["La2+", "Tc2+", 0.2889028673], + ["Tc2+", "Ce3+", 0.290860062], + ["Ce3+", "Tc2+", 0.290860062], + ["Tc2+", "Ce2+", 0.1648314022], + ["Ce2+", "Tc2+", 0.1648314022], + ["Tc2+", "Ce4+", 0.1328239356], + ["Ce4+", "Tc2+", 0.1328239356], + ["Tc2+", "Pr3+", 0.246386403], + ["Pr3+", "Tc2+", 0.246386403], + ["Tc2+", "Pr4+", 0.0470813185], + ["Pr4+", "Tc2+", 0.0470813185], + ["Tc2+", "Pr2+", 0.423956523], + ["Pr2+", "Tc2+", 0.423956523], + ["Tc2+", "Nd3+", 0.2706477024], + ["Nd3+", "Tc2+", 0.2706477024], + ["Tc2+", "Nd2+", 0.4226883984], + ["Nd2+", "Tc2+", 0.4226883984], + ["Tc2+", "Pm3+", 0.1028867061], + ["Pm3+", "Tc2+", 0.1028867061], + ["Tc2+", "Sm3+", 0.1725840632], + ["Sm3+", "Tc2+", 0.1725840632], + ["Tc2+", "Sm2+", 0.4275460272], + ["Sm2+", "Tc2+", 0.4275460272], + ["Tc2+", "Eu2+", 0.1986504732], + ["Eu2+", "Tc2+", 0.1986504732], + ["Tc2+", "Eu3+", 0.271232165], + ["Eu3+", "Tc2+", 0.271232165], + ["Tc2+", "Gd2+", 0.3854291068], + ["Gd2+", "Tc2+", 0.3854291068], + ["Tc2+", "Gd3+", 0.1889179337], + ["Gd3+", "Tc2+", 0.1889179337], + ["Tc2+", "Tb3+", 0.2011460426], + ["Tb3+", "Tc2+", 0.2011460426], + ["Tc2+", "Tb2+", 0.3927832775], + ["Tb2+", "Tc2+", 0.3927832775], + ["Tc2+", "Tb4+", 0.0688959608], + ["Tb4+", "Tc2+", 0.0688959608], + ["Tc2+", "Dy3+", 0.1157992247], + ["Dy3+", "Tc2+", 0.1157992247], + ["Tc2+", "Dy2+", 0.3601062937], + ["Dy2+", "Tc2+", 0.3601062937], + ["Tc2+", "Ho3+", 0.1058150029], + ["Ho3+", "Tc2+", 0.1058150029], + ["Tc2+", "Ho2+", 0.1900914541], + ["Ho2+", "Tc2+", 0.1900914541], + ["Tc2+", "Er3+", 0.1400518735], + ["Er3+", "Tc2+", 0.1400518735], + ["Tc2+", "Tm3+", 0.1735305068], + ["Tm3+", "Tc2+", 0.1735305068], + ["Tc2+", "Tm2+", 0.3666048065], + ["Tm2+", "Tc2+", 0.3666048065], + ["Tc2+", "Yb3+", 0.1725946526], + ["Yb3+", "Tc2+", 0.1725946526], + ["Tc2+", "Yb2+", 0.2328526802], + ["Yb2+", "Tc2+", 0.2328526802], + ["Tc2+", "Lu3+", 0.1184178822], + ["Lu3+", "Tc2+", 0.1184178822], + ["Tc2+", "Hf3+", -0.0047285177], + ["Hf3+", "Tc2+", -0.0047285177], + ["Tc2+", "Hf2+", 0.1057278628], + ["Hf2+", "Tc2+", 0.1057278628], + ["Tc2+", "Hf4+", 0.0559374999], + ["Hf4+", "Tc2+", 0.0559374999], + ["Tc2+", "Ta5+", 0.195879241], + ["Ta5+", "Tc2+", 0.195879241], + ["Tc2+", "Ta3+", 0.2582312775], + ["Ta3+", "Tc2+", 0.2582312775], + ["Tc2+", "Ta4+", 0.2279853066], + ["Ta4+", "Tc2+", 0.2279853066], + ["Tc2+", "Ta2+", 0.2631939134], + ["Ta2+", "Tc2+", 0.2631939134], + ["Tc2+", "W6+", 0.2657710679], + ["W6+", "Tc2+", 0.2657710679], + ["Tc2+", "W4+", 0.1812333729], + ["W4+", "Tc2+", 0.1812333729], + ["Tc2+", "W2+", 0.5339969016], + ["W2+", "Tc2+", 0.5339969016], + ["Tc2+", "W3+", 0.1865570945], + ["W3+", "Tc2+", 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["Sm3+", "Rh3+", 0.3058451729], + ["Rh3+", "Sm2+", 0.1720635655], + ["Sm2+", "Rh3+", 0.1720635655], + ["Rh3+", "Eu2+", 0.2374270453], + ["Eu2+", "Rh3+", 0.2374270453], + ["Rh3+", "Eu3+", 0.4574997157], + ["Eu3+", "Rh3+", 0.4574997157], + ["Rh3+", "Gd2+", 0.0739549714], + ["Gd2+", "Rh3+", 0.0739549714], + ["Rh3+", "Gd3+", 0.41901774], + ["Gd3+", "Rh3+", 0.41901774], + ["Rh3+", "Tb3+", 0.3701776458], + ["Tb3+", "Rh3+", 0.3701776458], + ["Rh3+", "Tb2+", 0.2276475558], + ["Tb2+", "Rh3+", 0.2276475558], + ["Rh3+", "Tb4+", 0.314372585], + ["Tb4+", "Rh3+", 0.314372585], + ["Rh3+", "Dy3+", 0.3645920701], + ["Dy3+", "Rh3+", 0.3645920701], + ["Rh3+", "Dy2+", 0.1912921401], + ["Dy2+", "Rh3+", 0.1912921401], + ["Rh3+", "Ho3+", 0.3658073003], + ["Ho3+", "Rh3+", 0.3658073003], + ["Rh3+", "Ho2+", 0.4626833105], + ["Ho2+", "Rh3+", 0.4626833105], + ["Rh3+", "Er3+", 0.5088304318], + ["Er3+", "Rh3+", 0.5088304318], + ["Rh3+", "Tm3+", 0.3291151901], + ["Tm3+", "Rh3+", 0.3291151901], + ["Rh3+", "Tm2+", 0.3627263996], + ["Tm2+", "Rh3+", 0.3627263996], + ["Rh3+", "Yb3+", 0.3948294226], + ["Yb3+", "Rh3+", 0.3948294226], + ["Rh3+", "Yb2+", 0.3169320929], + ["Yb2+", "Rh3+", 0.3169320929], + ["Rh3+", "Lu3+", 0.4113786936], + ["Lu3+", "Rh3+", 0.4113786936], + ["Rh3+", "Hf3+", 0.3224426196], + ["Hf3+", "Rh3+", 0.3224426196], + ["Rh3+", "Hf2+", 0.271212849], + ["Hf2+", "Rh3+", 0.271212849], + ["Rh3+", "Hf4+", 0.3189876771], + ["Hf4+", "Rh3+", 0.3189876771], + ["Rh3+", "Ta5+", 0.2991425594], + ["Ta5+", "Rh3+", 0.2991425594], + ["Rh3+", "Ta3+", 0.1975721612], + ["Ta3+", "Rh3+", 0.1975721612], + ["Rh3+", "Ta4+", 0.2022455944], + ["Ta4+", "Rh3+", 0.2022455944], + ["Rh3+", "Ta2+", 0.3380154731], + ["Ta2+", "Rh3+", 0.3380154731], + ["Rh3+", "W6+", 0.2368942931], + ["W6+", "Rh3+", 0.2368942931], + ["Rh3+", "W4+", 0.2516395212], + ["W4+", "Rh3+", 0.2516395212], + ["Rh3+", "W2+", 0.3018431781], + ["W2+", "Rh3+", 0.3018431781], + ["Rh3+", "W3+", 0.2845575979], + ["W3+", "Rh3+", 0.2845575979], + ["Rh3+", "W5+", 0.2507654416], + ["W5+", "Rh3+", 0.2507654416], + ["Rh3+", "Re5+", 0.3855603902], + ["Re5+", "Rh3+", 0.3855603902], + ["Rh3+", "Re3+", 0.2004272316], + ["Re3+", "Rh3+", 0.2004272316], + ["Rh3+", "Re6+", 0.1768040144], + ["Re6+", "Rh3+", 0.1768040144], + ["Rh3+", "Re2+", 0.0447756434], + ["Re2+", "Rh3+", 0.0447756434], + ["Rh3+", "Re4+", 0.3419600756], + ["Re4+", "Rh3+", 0.3419600756], + ["Rh3+", "Re7+", 0.3594053775], + ["Re7+", "Rh3+", 0.3594053775], + ["Rh3+", "Os7+", 0.0541058704], + ["Os7+", "Rh3+", 0.0541058704], + ["Rh3+", "Os6+", 0.1635670018], + ["Os6+", "Rh3+", 0.1635670018], + ["Rh3+", "Os5+", 0.2745869191], + ["Os5+", "Rh3+", 0.2745869191], + ["Rh3+", "Os2-", 0.089520747], + ["Os2-", "Rh3+", 0.089520747], + ["Rh3+", "Os3+", 0.1426154997], + ["Os3+", "Rh3+", 0.1426154997], + ["Rh3+", "Os4+", 0.3719259914], + ["Os4+", "Rh3+", 0.3719259914], + ["Rh3+", "Os8+", 0.2948408554], + ["Os8+", "Rh3+", 0.2948408554], + ["Rh3+", "Os2+", 0.1993249551], + ["Os2+", "Rh3+", 0.1993249551], + ["Rh3+", "Ir3+", 0.5677490509], + ["Ir3+", "Rh3+", 0.5677490509], + ["Rh3+", "Ir4+", 0.1674091008], + ["Ir4+", "Rh3+", 0.1674091008], + ["Rh3+", "Ir5+", 0.363761346], + ["Ir5+", "Rh3+", 0.363761346], + ["Rh3+", "Ir6+", 0.1231618481], + ["Ir6+", "Rh3+", 0.1231618481], + ["Rh3+", "Pt2+", 0.3527450908], + ["Pt2+", "Rh3+", 0.3527450908], + ["Rh3+", "Pt2-", 0.1576445029], + ["Pt2-", "Rh3+", 0.1576445029], + ["Rh3+", "Pt4+", 0.3571445377], + ["Pt4+", "Rh3+", 0.3571445377], + ["Rh3+", "Pt3+", 0.2150556094], + ["Pt3+", "Rh3+", 0.2150556094], + ["Rh3+", "Pt5+", 0.2572112418], + ["Pt5+", "Rh3+", 0.2572112418], + ["Rh3+", "Pt6+", 0.2995751663], + ["Pt6+", "Rh3+", 0.2995751663], + ["Rh3+", "Au2+", 0.2013287051], + ["Au2+", "Rh3+", 0.2013287051], + ["Rh3+", "Au3+", 0.2803755917], + ["Au3+", "Rh3+", 0.2803755917], + ["Rh3+", "Au5+", 0.2342683624], + ["Au5+", "Rh3+", 0.2342683624], + ["Rh3+", "Au4+", -0.0284147656], + ["Au4+", "Rh3+", -0.0284147656], + ["Rh3+", "Hg2+", 0.2804599189], + ["Hg2+", "Rh3+", 0.2804599189], + ["Rh3+", "Tl3+", 0.2797067299], + ["Tl3+", "Rh3+", 0.2797067299], + ["Rh3+", "Tl2+", 0.1432962083], + ["Tl2+", "Rh3+", 0.1432962083], + ["Rh3+", "Pb2+", 0.2832707002], + ["Pb2+", "Rh3+", 0.2832707002], + ["Rh3+", "Pb3+", 0.0385112304], + ["Pb3+", "Rh3+", 0.0385112304], + ["Rh3+", "Pb4+", -0.0635154892], + ["Pb4+", "Rh3+", -0.0635154892], + ["Rh3+", "Bi3+", 0.3464936429], + ["Bi3+", "Rh3+", 0.3464936429], + ["Rh3+", "Bi5+", 0.1150082375], + ["Bi5+", "Rh3+", 0.1150082375], + ["Rh3+", "Bi2+", 0.0907866588], + ["Bi2+", "Rh3+", 0.0907866588], + ["Rh3+", "Bi3-", 0.1664811821], + ["Bi3-", "Rh3+", 0.1664811821], + ["Rh3+", "Bi4+", 0.2082173663], + ["Bi4+", "Rh3+", 0.2082173663], + ["Rh3+", "Ac3+", 0.129399449], + ["Ac3+", "Rh3+", 0.129399449], + ["Rh3+", "Th4+", 0.1724616165], + ["Th4+", "Rh3+", 0.1724616165], + ["Rh3+", "Th3+", 0.1844338435], + ["Th3+", "Rh3+", 0.1844338435], + ["Rh3+", "Pa4+", 0.0798045958], + ["Pa4+", "Rh3+", 0.0798045958], + ["Rh3+", "Pa5+", 0.0370631562], + ["Pa5+", "Rh3+", 0.0370631562], + ["Rh3+", "Pa3+", 0.3214447906], + ["Pa3+", "Rh3+", 0.3214447906], + ["Rh3+", "U6+", 0.067473623], + ["U6+", "Rh3+", 0.067473623], + ["Rh3+", "U4+", 0.0899955866], + ["U4+", "Rh3+", 0.0899955866], + ["Rh3+", "U3+", 0.3339314349], + ["U3+", "Rh3+", 0.3339314349], + ["Rh3+", "U2+", 0.1993154405], + ["U2+", "Rh3+", 0.1993154405], + ["Rh3+", "U5+", 0.1502995641], + ["U5+", "Rh3+", 0.1502995641], + ["Rh3+", "Np6+", 0.0716393618], + ["Np6+", "Rh3+", 0.0716393618], + ["Rh3+", "Np4+", 0.2122895074], + ["Np4+", "Rh3+", 0.2122895074], + ["Rh3+", "Np3+", 0.3952901819], + ["Np3+", "Rh3+", 0.3952901819], + ["Rh3+", "Np7+", 0.145074773], + ["Np7+", "Rh3+", 0.145074773], + ["Rh3+", "Np5+", 0.3541033462], + ["Np5+", "Rh3+", 0.3541033462], + ["Rh3+", "Pu7+", 0.1155205864], + ["Pu7+", "Rh3+", 0.1155205864], + ["Rh3+", "Pu6+", 0.2297961996], + ["Pu6+", "Rh3+", 0.2297961996], + ["Rh3+", "Pu3+", 0.4032600858], + ["Pu3+", "Rh3+", 0.4032600858], + ["Rh3+", "Pu4+", 0.3570854411], + ["Pu4+", "Rh3+", 0.3570854411], + ["Rh3+", "Pu5+", 0.2122014471], + ["Pu5+", "Rh3+", 0.2122014471], + ["Rh3+", "H1+", 0.2139301936], + ["H1+", "Rh3+", 0.2139301936], + ["Rh3+", "H1-", 0.2725317872], + ["H1-", "Rh3+", 0.2725317872], + ["Rh3+", "Li1+", 0.3011370293], + ["Li1+", "Rh3+", 0.3011370293], + ["Rh3+", "B1+", 0.2068523229], + ["B1+", "Rh3+", 0.2068523229], + ["Rh3+", "B1-", 0.0299146431], + ["B1-", "Rh3+", 0.0299146431], + ["Rh3+", "C1-", 0.0642780627], + ["C1-", "Rh3+", 0.0642780627], + ["Rh3+", "C1+", 0.3628084006], + ["C1+", "Rh3+", 0.3628084006], + ["Rh3+", "N1-", 0.1380481931], + ["N1-", "Rh3+", 0.1380481931], + ["Rh3+", "N1+", 0.0496376455], + ["N1+", "Rh3+", 0.0496376455], + ["Rh3+", "O1-", -0.0931451584], + ["O1-", "Rh3+", -0.0931451584], + ["Rh3+", "F1-", 0.1528752161], + ["F1-", "Rh3+", 0.1528752161], + ["Rh3+", "Na1+", 0.2940454885], + ["Na1+", "Rh3+", 0.2940454885], + ["Rh3+", "Si1-", 0.0147238657], + ["Si1-", "Rh3+", 0.0147238657], + ["Rh3+", "P1+", -0.0237344154], + ["P1+", "Rh3+", -0.0237344154], + ["Rh3+", "P1-", -0.0431559799], + ["P1-", "Rh3+", -0.0431559799], + ["Rh3+", "S1-", 0.0278702958], + ["S1-", "Rh3+", 0.0278702958], + ["Rh3+", "S1+", 0.1157884012], + ["S1+", "Rh3+", 0.1157884012], + ["Rh3+", "Cl1-", 0.2363702557], + ["Cl1-", "Rh3+", 0.2363702557], + ["Rh3+", "K1+", 0.3001406895], + ["K1+", "Rh3+", 0.3001406895], + ["Rh3+", "Sc1+", 0.2482682455], + ["Sc1+", "Rh3+", 0.2482682455], + ["Rh3+", "Mn1+", 0.4006555567], + ["Mn1+", "Rh3+", 0.4006555567], + ["Rh3+", "Fe1+", 0.1924469173], + ["Fe1+", "Rh3+", 0.1924469173], + ["Rh3+", "Co1+", 0.3061594883], + ["Co1+", "Rh3+", 0.3061594883], + ["Rh3+", "Ni1+", 0.3194833736], + ["Ni1+", "Rh3+", 0.3194833736], + ["Rh3+", "Cu1+", 0.2814926014], + ["Cu1+", "Rh3+", 0.2814926014], + ["Rh3+", "Ga1+", 0.2876930012], + ["Ga1+", "Rh3+", 0.2876930012], + ["Rh3+", "As1-", 0.0991214066], + ["As1-", "Rh3+", 0.0991214066], + ["Rh3+", "As1+", 0.2052468761], + ["As1+", "Rh3+", 0.2052468761], + ["Rh3+", "Se1-", 0.0279578978], + ["Se1-", "Rh3+", 0.0279578978], + ["Rh3+", "Se1+", 0.1673258239], + ["Se1+", "Rh3+", 0.1673258239], + ["Rh3+", "Br1-", 0.2003706804], + ["Br1-", "Rh3+", 0.2003706804], + ["Rh3+", "Br1+", 0.1537277854], + ["Br1+", "Rh3+", 0.1537277854], + ["Rh3+", "Rb1+", 0.2408672776], + ["Rb1+", "Rh3+", 0.2408672776], + ["Rh3+", "Y1+", 0.255964209], + ["Y1+", "Rh3+", 0.255964209], + ["Rh3+", "Zr1+", 0.2676987947], + ["Zr1+", "Rh3+", 0.2676987947], + ["Rh3+", "Nb1+", 0.3980740087], + ["Nb1+", "Rh3+", 0.3980740087], + ["Rh3+", "Tc1-", 0.2811884097], + ["Tc1-", "Rh3+", 0.2811884097], + ["Rh3+", "Tc1+", 0.3028127564], + ["Tc1+", "Rh3+", 0.3028127564], + ["Rh3+", "Rh1+", 0.3991563965], + ["Rh1+", "Rh3+", 0.3991563965], + ["Rh3+", "Ag1+", 0.3099184654], + ["Ag1+", "Rh3+", 0.3099184654], + ["Rh3+", "In1+", 0.3235337715], + ["In1+", "Rh3+", 0.3235337715], + ["Rh3+", "Sb1-", 0.0563338087], + ["Sb1-", "Rh3+", 0.0563338087], + ["Rh3+", "Sb1+", 0.0980783161], + ["Sb1+", "Rh3+", 0.0980783161], + ["Rh3+", "Te1-", -0.0033541213], + ["Te1-", "Rh3+", -0.0033541213], + ["Rh3+", "Te1+", 0.100040399], + ["Te1+", "Rh3+", 0.100040399], + ["Rh3+", "I1-", 0.153922506], + ["I1-", "Rh3+", 0.153922506], + ["Rh3+", "I1+", 0.0265386803], + ["I1+", "Rh3+", 0.0265386803], + ["Rh3+", "Cs1+", 0.2630146362], + ["Cs1+", "Rh3+", 0.2630146362], + ["Rh3+", "La1+", 0.2324788642], + ["La1+", "Rh3+", 0.2324788642], + ["Rh3+", "Tb1+", 0.088292792], + ["Tb1+", "Rh3+", 0.088292792], + ["Rh3+", "Ta1+", 0.3343347377], + ["Ta1+", "Rh3+", 0.3343347377], + ["Rh3+", "Os1-", 0.1408231163], + ["Os1-", "Rh3+", 0.1408231163], + ["Rh3+", "Os1+", 0.0892410869], + ["Os1+", "Rh3+", 0.0892410869], + ["Rh3+", "Pt1-", 0.1723676212], + ["Pt1-", "Rh3+", 0.1723676212], + ["Rh3+", "Pt1+", 0.1790298825], + ["Pt1+", "Rh3+", 0.1790298825], + ["Rh3+", "Au1-", -0.0957953816], + ["Au1-", "Rh3+", -0.0957953816], + ["Rh3+", "Au1+", 0.1955602181], + ["Au1+", "Rh3+", 0.1955602181], + ["Rh3+", "Hg1+", 0.2052197871], + ["Hg1+", "Rh3+", 0.2052197871], + ["Rh3+", "Tl1+", 0.2759086433], + ["Tl1+", "Rh3+", 0.2759086433], + ["Rh3+", "Bi1+", 0.0305590347], + ["Bi1+", "Rh3+", 0.0305590347], + ["Pd2+", "Pd2+", 1.0], + ["Pd2+", "Pd4+", 0.3350971202], + ["Pd4+", "Pd2+", 0.3350971202], + ["Pd2+", "Pd3+", 0.4282364312], + ["Pd3+", "Pd2+", 0.4282364312], + ["Pd2+", "Ag3+", 0.1520123659], + ["Ag3+", "Pd2+", 0.1520123659], + ["Pd2+", "Ag2+", 0.155069655], + ["Ag2+", "Pd2+", 0.155069655], + ["Pd2+", "Cd2+", 0.3887539588], + ["Cd2+", "Pd2+", 0.3887539588], + ["Pd2+", "In3+", 0.3091700855], + ["In3+", "Pd2+", 0.3091700855], + ["Pd2+", "In2+", 0.3975946068], + ["In2+", "Pd2+", 0.3975946068], + ["Pd2+", "Sn4+", 0.0913010825], + ["Sn4+", "Pd2+", 0.0913010825], + ["Pd2+", "Sn3+", 0.1806062922], + ["Sn3+", "Pd2+", 0.1806062922], + ["Pd2+", "Sn2+", 0.2810708794], + ["Sn2+", "Pd2+", 0.2810708794], + ["Pd2+", "Sb5+", 0.1926828193], + ["Sb5+", "Pd2+", 0.1926828193], + ["Pd2+", "Sb2-", -0.1002305837], + 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["Ag3+", "Ta1+", -0.2171676527], + ["Ta1+", "Ag3+", -0.2171676527], + ["Ag3+", "Os1-", -0.214836228], + ["Os1-", "Ag3+", -0.214836228], + ["Ag3+", "Os1+", 0.0527197541], + ["Os1+", "Ag3+", 0.0527197541], + ["Ag3+", "Pt1-", -0.0084172574], + ["Pt1-", "Ag3+", -0.0084172574], + ["Ag3+", "Pt1+", 0.0883118964], + ["Pt1+", "Ag3+", 0.0883118964], + ["Ag3+", "Au1-", -0.1325825647], + ["Au1-", "Ag3+", -0.1325825647], + ["Ag3+", "Au1+", -0.1187653325], + ["Au1+", "Ag3+", -0.1187653325], + ["Ag3+", "Hg1+", 0.2956573704], + ["Hg1+", "Ag3+", 0.2956573704], + ["Ag3+", "Tl1+", 0.2341433486], + ["Tl1+", "Ag3+", 0.2341433486], + ["Ag3+", "Bi1+", -0.1937481691], + ["Bi1+", "Ag3+", -0.1937481691], + ["Ag2+", "Ag2+", 1.0], + ["Ag2+", "Cd2+", 0.3710682999], + ["Cd2+", "Ag2+", 0.3710682999], + ["Ag2+", "In3+", 0.2257845728], + ["In3+", "Ag2+", 0.2257845728], + ["Ag2+", "In2+", 0.0896540058], + ["In2+", "Ag2+", 0.0896540058], + ["Ag2+", "Sn4+", 0.0820262463], + ["Sn4+", "Ag2+", 0.0820262463], + ["Ag2+", "Sn3+", 0.2381916045], + ["Sn3+", "Ag2+", 0.2381916045], + ["Ag2+", "Sn2+", 0.4316516248], + ["Sn2+", "Ag2+", 0.4316516248], + ["Ag2+", "Sb5+", 0.3226722532], + ["Sb5+", "Ag2+", 0.3226722532], + ["Ag2+", "Sb2-", -0.0167077968], + ["Sb2-", "Ag2+", -0.0167077968], + ["Ag2+", "Sb3-", -0.2172792578], + ["Sb3-", "Ag2+", -0.2172792578], + ["Ag2+", "Sb3+", 0.4137437407], + ["Sb3+", "Ag2+", 0.4137437407], + ["Ag2+", "Sb4+", 0.3234531907], + ["Sb4+", "Ag2+", 0.3234531907], + ["Ag2+", "Te2-", 0.0705080939], + ["Te2-", "Ag2+", 0.0705080939], + ["Ag2+", "Te4+", 0.2765771012], + ["Te4+", "Ag2+", 0.2765771012], + ["Ag2+", "Te6+", 0.4210442981], + ["Te6+", "Ag2+", 0.4210442981], + ["Ag2+", "Te2+", 0.061894717], + ["Te2+", "Ag2+", 0.061894717], + ["Ag2+", "Te5+", 0.1724892645], + ["Te5+", "Ag2+", 0.1724892645], + ["Ag2+", "I3+", 0.1840917692], + ["I3+", "Ag2+", 0.1840917692], + ["Ag2+", "I7+", 0.4030049229], + ["I7+", "Ag2+", 0.4030049229], + ["Ag2+", "I5+", 0.3362767232], + ["I5+", "Ag2+", 0.3362767232], + ["Ag2+", "I2+", 0.2809909816], + ["I2+", "Ag2+", 0.2809909816], + ["Ag2+", "Ba2+", 0.4427003214], + ["Ba2+", "Ag2+", 0.4427003214], + ["Ag2+", "La3+", 0.1830019977], + ["La3+", "Ag2+", 0.1830019977], + ["Ag2+", "La2+", 0.0589002091], + ["La2+", "Ag2+", 0.0589002091], + ["Ag2+", "Ce3+", 0.1163424923], + ["Ce3+", "Ag2+", 0.1163424923], + ["Ag2+", "Ce2+", -0.0666272175], + ["Ce2+", "Ag2+", -0.0666272175], + ["Ag2+", "Ce4+", 0.0679369606], + ["Ce4+", "Ag2+", 0.0679369606], + ["Ag2+", "Pr3+", 0.1647611855], + ["Pr3+", "Ag2+", 0.1647611855], + ["Ag2+", "Pr4+", 0.046611561], + ["Pr4+", "Ag2+", 0.046611561], + ["Ag2+", "Pr2+", 0.0743211859], + ["Pr2+", "Ag2+", 0.0743211859], + ["Ag2+", "Nd3+", 0.2697358326], + ["Nd3+", "Ag2+", 0.2697358326], + ["Ag2+", "Nd2+", -0.0819253869], + ["Nd2+", "Ag2+", -0.0819253869], + ["Ag2+", "Pm3+", 0.1508806945], + ["Pm3+", "Ag2+", 0.1508806945], + ["Ag2+", "Sm3+", 0.2009855064], + ["Sm3+", "Ag2+", 0.2009855064], + ["Ag2+", "Sm2+", -0.0311072976], + ["Sm2+", "Ag2+", -0.0311072976], + ["Ag2+", "Eu2+", 0.2602284878], + ["Eu2+", "Ag2+", 0.2602284878], + ["Ag2+", "Eu3+", 0.2154244368], + ["Eu3+", "Ag2+", 0.2154244368], + ["Ag2+", "Gd2+", 0.0291104744], + ["Gd2+", "Ag2+", 0.0291104744], + ["Ag2+", "Gd3+", 0.3212799404], + ["Gd3+", "Ag2+", 0.3212799404], + ["Ag2+", "Tb3+", 0.2514155983], + ["Tb3+", "Ag2+", 0.2514155983], + ["Ag2+", "Tb2+", -0.0310825946], + ["Tb2+", "Ag2+", -0.0310825946], + ["Ag2+", "Tb4+", 0.3445430572], + ["Tb4+", "Ag2+", 0.3445430572], + ["Ag2+", "Dy3+", 0.2098500746], + ["Dy3+", "Ag2+", 0.2098500746], + ["Ag2+", "Dy2+", 0.0241963404], + ["Dy2+", "Ag2+", 0.0241963404], + ["Ag2+", "Ho3+", 0.2271035678], + ["Ho3+", "Ag2+", 0.2271035678], + ["Ag2+", "Ho2+", -0.0184419586], + ["Ho2+", "Ag2+", -0.0184419586], + ["Ag2+", "Er3+", 0.3300599456], + ["Er3+", "Ag2+", 0.3300599456], + ["Ag2+", "Tm3+", 0.2809254503], + ["Tm3+", "Ag2+", 0.2809254503], + ["Ag2+", "Tm2+", 0.0056243377], + ["Tm2+", "Ag2+", 0.0056243377], + ["Ag2+", "Yb3+", 0.2303906982], + ["Yb3+", "Ag2+", 0.2303906982], + ["Ag2+", "Yb2+", 0.0127876179], + ["Yb2+", "Ag2+", 0.0127876179], + ["Ag2+", "Lu3+", 0.2678873269], + ["Lu3+", "Ag2+", 0.2678873269], + ["Ag2+", "Hf3+", 0.01994561], + ["Hf3+", "Ag2+", 0.01994561], + ["Ag2+", "Hf2+", 0.012958948], + ["Hf2+", "Ag2+", 0.012958948], + ["Ag2+", "Hf4+", 0.2142958691], + ["Hf4+", "Ag2+", 0.2142958691], + ["Ag2+", "Ta5+", 0.2680485157], + ["Ta5+", "Ag2+", 0.2680485157], + ["Ag2+", "Ta3+", 0.2391458348], + ["Ta3+", "Ag2+", 0.2391458348], + ["Ag2+", "Ta4+", 0.0732357416], + ["Ta4+", "Ag2+", 0.0732357416], + ["Ag2+", "Ta2+", 0.0093160654], + ["Ta2+", "Ag2+", 0.0093160654], + ["Ag2+", "W6+", 0.2027754606], + ["W6+", "Ag2+", 0.2027754606], + ["Ag2+", "W4+", 0.2235344817], + ["W4+", "Ag2+", 0.2235344817], + ["Ag2+", "W2+", 0.0757222943], + ["W2+", "Ag2+", 0.0757222943], + ["Ag2+", "W3+", 0.235402448], + ["W3+", "Ag2+", 0.235402448], + ["Ag2+", "W5+", 0.1494932703], + ["W5+", "Ag2+", 0.1494932703], + ["Ag2+", "Re5+", 0.0436639974], + ["Re5+", "Ag2+", 0.0436639974], + ["Ag2+", "Re3+", 0.0448173974], + ["Re3+", "Ag2+", 0.0448173974], + ["Ag2+", "Re6+", -0.0371003924], + ["Re6+", "Ag2+", -0.0371003924], + ["Ag2+", "Re2+", -0.139940125], + ["Re2+", "Ag2+", -0.139940125], + ["Ag2+", "Re4+", 0.1367295501], + ["Re4+", "Ag2+", 0.1367295501], + ["Ag2+", "Re7+", 0.1121350052], + ["Re7+", "Ag2+", 0.1121350052], + ["Ag2+", "Os7+", 0.1584787143], + ["Os7+", "Ag2+", 0.1584787143], + ["Ag2+", "Os6+", 0.2217207385], + ["Os6+", "Ag2+", 0.2217207385], + ["Ag2+", "Os5+", 0.1897822128], + ["Os5+", "Ag2+", 0.1897822128], + ["Ag2+", "Os2-", -0.2333429065], + ["Os2-", "Ag2+", -0.2333429065], + ["Ag2+", "Os3+", -0.0071517352], + ["Os3+", "Ag2+", -0.0071517352], + ["Ag2+", "Os4+", 0.1068002366], + ["Os4+", "Ag2+", 0.1068002366], + ["Ag2+", "Os8+", 0.1839445313], + ["Os8+", "Ag2+", 0.1839445313], + ["Ag2+", "Os2+", -0.0609252188], + ["Os2+", "Ag2+", -0.0609252188], + ["Ag2+", "Ir3+", 0.2354541533], + ["Ir3+", "Ag2+", 0.2354541533], + ["Ag2+", "Ir4+", 0.1318199339], + ["Ir4+", "Ag2+", 0.1318199339], + ["Ag2+", "Ir5+", -0.0875245038], + ["Ir5+", "Ag2+", -0.0875245038], + ["Ag2+", "Ir6+", 0.2628088628], + ["Ir6+", "Ag2+", 0.2628088628], + ["Ag2+", "Pt2+", 0.046072706], + ["Pt2+", "Ag2+", 0.046072706], + ["Ag2+", "Pt2-", -0.0936649611], + ["Pt2-", "Ag2+", -0.0936649611], + ["Ag2+", "Pt4+", 0.2891652995], + ["Pt4+", "Ag2+", 0.2891652995], + ["Ag2+", "Pt3+", 0.1252757581], + ["Pt3+", "Ag2+", 0.1252757581], + ["Ag2+", "Pt5+", 0.2488366715], + ["Pt5+", "Ag2+", 0.2488366715], + ["Ag2+", "Pt6+", 0.1777767411], + ["Pt6+", "Ag2+", 0.1777767411], + ["Ag2+", "Au2+", 0.2056981468], + ["Au2+", "Ag2+", 0.2056981468], + ["Ag2+", "Au3+", 0.2411589429], + ["Au3+", "Ag2+", 0.2411589429], + ["Ag2+", "Au5+", 0.3394308039], + ["Au5+", "Ag2+", 0.3394308039], + ["Ag2+", "Au4+", 0.2724320317], + ["Au4+", "Ag2+", 0.2724320317], + ["Ag2+", "Hg2+", 0.302373296], + ["Hg2+", "Ag2+", 0.302373296], + ["Ag2+", "Tl3+", 0.3197294859], + ["Tl3+", "Ag2+", 0.3197294859], + ["Ag2+", "Tl2+", 0.2909677094], + ["Tl2+", "Ag2+", 0.2909677094], + ["Ag2+", "Pb2+", 0.3175761244], + ["Pb2+", "Ag2+", 0.3175761244], + ["Ag2+", "Pb3+", 0.2317379894], + ["Pb3+", "Ag2+", 0.2317379894], + ["Ag2+", "Pb4+", 0.1776571024], + ["Pb4+", "Ag2+", 0.1776571024], + ["Ag2+", "Bi3+", 0.3923303454], + ["Bi3+", "Ag2+", 0.3923303454], + ["Ag2+", "Bi5+", 0.2382882209], + ["Bi5+", "Ag2+", 0.2382882209], + ["Ag2+", "Bi2+", 0.0808622206], + ["Bi2+", "Ag2+", 0.0808622206], + ["Ag2+", "Bi3-", -0.1313227177], + ["Bi3-", "Ag2+", -0.1313227177], + ["Ag2+", "Bi4+", 0.1761363507], + ["Bi4+", "Ag2+", 0.1761363507], + ["Ag2+", "Ac3+", 0.168607496], + ["Ac3+", "Ag2+", 0.168607496], + ["Ag2+", "Th4+", 0.3508755401], + ["Th4+", "Ag2+", 0.3508755401], + ["Ag2+", "Th3+", 0.1293066321], + ["Th3+", "Ag2+", 0.1293066321], + ["Ag2+", "Pa4+", 0.0120658058], + ["Pa4+", "Ag2+", 0.0120658058], + ["Ag2+", "Pa5+", 0.327577805], + ["Pa5+", "Ag2+", 0.327577805], + ["Ag2+", "Pa3+", 0.2122837959], + ["Pa3+", "Ag2+", 0.2122837959], + ["Ag2+", "U6+", 0.211665964], + ["U6+", "Ag2+", 0.211665964], + ["Ag2+", "U4+", 0.2843423138], + ["U4+", "Ag2+", 0.2843423138], + ["Ag2+", "U3+", 0.1027531502], + ["U3+", "Ag2+", 0.1027531502], + ["Ag2+", "U2+", 0.0809503975], + ["U2+", "Ag2+", 0.0809503975], + ["Ag2+", "U5+", 0.1422176604], + ["U5+", "Ag2+", 0.1422176604], + ["Ag2+", "Np6+", 0.2375102815], + ["Np6+", "Ag2+", 0.2375102815], + ["Ag2+", "Np4+", 0.2953508055], + ["Np4+", "Ag2+", 0.2953508055], + ["Ag2+", "Np3+", 0.2376651575], + ["Np3+", "Ag2+", 0.2376651575], + ["Ag2+", "Np7+", 0.1526475402], + ["Np7+", "Ag2+", 0.1526475402], + ["Ag2+", "Np5+", 0.2902451132], + ["Np5+", "Ag2+", 0.2902451132], + ["Ag2+", "Pu7+", 0.1133687478], + ["Pu7+", "Ag2+", 0.1133687478], + ["Ag2+", "Pu6+", -0.0220296321], + ["Pu6+", "Ag2+", -0.0220296321], + ["Ag2+", "Pu3+", 0.0372120742], + ["Pu3+", "Ag2+", 0.0372120742], + ["Ag2+", "Pu4+", 0.190556964], + ["Pu4+", "Ag2+", 0.190556964], + ["Ag2+", "Pu5+", 0.1183159643], + ["Pu5+", "Ag2+", 0.1183159643], + ["Ag2+", "H1+", -0.0658116558], + ["H1+", "Ag2+", -0.0658116558], + ["Ag2+", "H1-", -0.2057551102], + ["H1-", "Ag2+", -0.2057551102], + ["Ag2+", "Li1+", 0.3668859929], + ["Li1+", "Ag2+", 0.3668859929], + ["Ag2+", "B1+", 0.2030221693], + ["B1+", "Ag2+", 0.2030221693], + ["Ag2+", "B1-", -0.1133698429], + ["B1-", "Ag2+", -0.1133698429], + ["Ag2+", "C1-", 0.0152882802], + ["C1-", "Ag2+", 0.0152882802], + ["Ag2+", "C1+", 0.1884092272], + ["C1+", "Ag2+", 0.1884092272], + ["Ag2+", "N1-", 0.0475880951], + ["N1-", "Ag2+", 0.0475880951], + ["Ag2+", "N1+", 0.3667685941], + ["N1+", "Ag2+", 0.3667685941], + ["Ag2+", "O1-", 0.3389853042], + ["O1-", "Ag2+", 0.3389853042], + ["Ag2+", "F1-", 0.0837514012], + ["F1-", "Ag2+", 0.0837514012], + ["Ag2+", "Na1+", 0.2869456641], + ["Na1+", "Ag2+", 0.2869456641], + ["Ag2+", "Si1-", -0.0862607208], + ["Si1-", "Ag2+", -0.0862607208], + ["Ag2+", "P1+", 0.2274863786], + ["P1+", "Ag2+", 0.2274863786], + ["Ag2+", "P1-", 0.1610661632], + ["P1-", "Ag2+", 0.1610661632], + ["Ag2+", "S1-", 0.2264263166], + ["S1-", "Ag2+", 0.2264263166], + ["Ag2+", "S1+", 0.0971830402], + ["S1+", "Ag2+", 0.0971830402], + ["Ag2+", "Cl1-", 0.0734548891], + ["Cl1-", "Ag2+", 0.0734548891], + ["Ag2+", "K1+", 0.3954628983], + ["K1+", "Ag2+", 0.3954628983], + ["Ag2+", "Sc1+", 0.0502404687], + ["Sc1+", "Ag2+", 0.0502404687], + ["Ag2+", "Mn1+", 0.1711864789], + ["Mn1+", "Ag2+", 0.1711864789], + ["Ag2+", "Fe1+", -0.1019764303], + ["Fe1+", "Ag2+", -0.1019764303], + ["Ag2+", "Co1+", -0.1353526323], + ["Co1+", "Ag2+", -0.1353526323], + ["Ag2+", "Ni1+", -0.0820346946], + ["Ni1+", "Ag2+", -0.0820346946], + ["Ag2+", "Cu1+", 0.1561765748], + ["Cu1+", "Ag2+", 0.1561765748], + ["Ag2+", "Ga1+", 0.1456481965], + ["Ga1+", "Ag2+", 0.1456481965], + ["Ag2+", "As1-", 0.1189432033], + ["As1-", "Ag2+", 0.1189432033], + ["Ag2+", "As1+", 0.0922789544], + ["As1+", "Ag2+", 0.0922789544], + ["Ag2+", "Se1-", 0.0500958833], + ["Se1-", "Ag2+", 0.0500958833], + ["Ag2+", "Se1+", 0.1133880755], + ["Se1+", "Ag2+", 0.1133880755], + ["Ag2+", "Br1-", 0.0457983264], + ["Br1-", "Ag2+", 0.0457983264], + ["Ag2+", "Br1+", 0.0489950547], + ["Br1+", "Ag2+", 0.0489950547], + ["Ag2+", "Rb1+", 0.3596230409], + ["Rb1+", "Ag2+", 0.3596230409], + ["Ag2+", "Y1+", 0.1292784629], + ["Y1+", "Ag2+", 0.1292784629], + ["Ag2+", "Zr1+", 0.0957031972], + ["Zr1+", "Ag2+", 0.0957031972], + ["Ag2+", "Nb1+", 0.0405804851], + ["Nb1+", "Ag2+", 0.0405804851], + ["Ag2+", "Tc1-", -0.0175743285], + ["Tc1-", "Ag2+", -0.0175743285], + ["Ag2+", "Tc1+", 0.244339552], + ["Tc1+", "Ag2+", 0.244339552], + ["Ag2+", "Rh1+", -0.0167769662], + ["Rh1+", "Ag2+", -0.0167769662], + ["Ag2+", "Ag1+", 0.3686222473], + ["Ag1+", "Ag2+", 0.3686222473], + ["Ag2+", "In1+", 0.0946673056], + ["In1+", "Ag2+", 0.0946673056], + ["Ag2+", "Sb1-", 0.032774143], + ["Sb1-", "Ag2+", 0.032774143], + ["Ag2+", "Sb1+", 0.1460833944], + ["Sb1+", "Ag2+", 0.1460833944], + ["Ag2+", "Te1-", 0.1152727013], + ["Te1-", "Ag2+", 0.1152727013], + ["Ag2+", "Te1+", 0.2312041609], + ["Te1+", "Ag2+", 0.2312041609], + ["Ag2+", "I1-", 0.1618869962], + ["I1-", "Ag2+", 0.1618869962], + ["Ag2+", "I1+", 0.1931801255], + ["I1+", "Ag2+", 0.1931801255], + ["Ag2+", "Cs1+", 0.3093296521], + ["Cs1+", "Ag2+", 0.3093296521], + ["Ag2+", "La1+", -0.0713401575], + ["La1+", "Ag2+", -0.0713401575], + ["Ag2+", "Tb1+", 0.0392953526], + ["Tb1+", "Ag2+", 0.0392953526], + ["Ag2+", "Ta1+", -0.0346047255], + ["Ta1+", "Ag2+", -0.0346047255], + ["Ag2+", "Os1-", -0.0341791349], + ["Os1-", "Ag2+", -0.0341791349], + ["Ag2+", "Os1+", 0.1641145556], + ["Os1+", "Ag2+", 0.1641145556], + ["Ag2+", "Pt1-", -0.0359228439], + ["Pt1-", "Ag2+", -0.0359228439], + ["Ag2+", "Pt1+", 0.2585090578], + ["Pt1+", "Ag2+", 0.2585090578], + ["Ag2+", "Au1-", -0.0434503819], + ["Au1-", "Ag2+", -0.0434503819], + ["Ag2+", "Au1+", 0.1726185641], + ["Au1+", "Ag2+", 0.1726185641], + ["Ag2+", "Hg1+", 0.3939401961], + ["Hg1+", "Ag2+", 0.3939401961], + ["Ag2+", "Tl1+", 0.381095063], + ["Tl1+", "Ag2+", 0.381095063], + ["Ag2+", "Bi1+", -0.0939323053], + ["Bi1+", "Ag2+", -0.0939323053], + ["Cd2+", "Cd2+", 1.0], + ["Cd2+", "In3+", 0.6043817792], + ["In3+", "Cd2+", 0.6043817792], + ["Cd2+", "In2+", 0.4023794342], + ["In2+", "Cd2+", 0.4023794342], + ["Cd2+", "Sn4+", 0.3622186968], + ["Sn4+", "Cd2+", 0.3622186968], + ["Cd2+", "Sn3+", 0.3196778505], + ["Sn3+", "Cd2+", 0.3196778505], + ["Cd2+", "Sn2+", 0.4981222035], + ["Sn2+", "Cd2+", 0.4981222035], + ["Cd2+", "Sb5+", 0.1943683363], + ["Sb5+", "Cd2+", 0.1943683363], + ["Cd2+", "Sb2-", -0.1194763632], + ["Sb2-", "Cd2+", -0.1194763632], + ["Cd2+", "Sb3-", 0.0012015726], + ["Sb3-", "Cd2+", 0.0012015726], + ["Cd2+", "Sb3+", 0.4634409619], + ["Sb3+", "Cd2+", 0.4634409619], + ["Cd2+", "Sb4+", 0.149076157], + ["Sb4+", "Cd2+", 0.149076157], + ["Cd2+", "Te2-", 0.2080709532], + ["Te2-", "Cd2+", 0.2080709532], + ["Cd2+", "Te4+", 0.4470719648], + ["Te4+", "Cd2+", 0.4470719648], + ["Cd2+", "Te6+", 0.1168475179], + ["Te6+", "Cd2+", 0.1168475179], + ["Cd2+", "Te2+", 0.3488634849], + ["Te2+", "Cd2+", 0.3488634849], + ["Cd2+", "Te5+", 0.3230125212], + ["Te5+", "Cd2+", 0.3230125212], + ["Cd2+", "I3+", 0.1457361696], + ["I3+", "Cd2+", 0.1457361696], + ["Cd2+", "I7+", 0.1603422251], + ["I7+", "Cd2+", 0.1603422251], + ["Cd2+", "I5+", 0.1839781533], + ["I5+", "Cd2+", 0.1839781533], + ["Cd2+", "I2+", 0.1783178569], + ["I2+", "Cd2+", 0.1783178569], + ["Cd2+", "Ba2+", 0.6495430928], + ["Ba2+", "Cd2+", 0.6495430928], + ["Cd2+", "La3+", 0.542077069], + ["La3+", "Cd2+", 0.542077069], + ["Cd2+", "La2+", 0.3739593257], + ["La2+", "Cd2+", 0.3739593257], + ["Cd2+", "Ce3+", 0.4242189167], + ["Ce3+", "Cd2+", 0.4242189167], + ["Cd2+", "Ce2+", 0.390032331], + ["Ce2+", "Cd2+", 0.390032331], + ["Cd2+", "Ce4+", 0.2649017045], + ["Ce4+", "Cd2+", 0.2649017045], + ["Cd2+", "Pr3+", 0.4142522453], + ["Pr3+", "Cd2+", 0.4142522453], + ["Cd2+", "Pr4+", 0.1966948237], + ["Pr4+", "Cd2+", 0.1966948237], + ["Cd2+", "Pr2+", 0.269713045], + ["Pr2+", "Cd2+", 0.269713045], + ["Cd2+", "Nd3+", 0.4067562052], + ["Nd3+", "Cd2+", 0.4067562052], + ["Cd2+", "Nd2+", 0.1786105948], + ["Nd2+", "Cd2+", 0.1786105948], + ["Cd2+", "Pm3+", 0.3540420322], + ["Pm3+", "Cd2+", 0.3540420322], + ["Cd2+", "Sm3+", 0.3107109938], + ["Sm3+", "Cd2+", 0.3107109938], + ["Cd2+", "Sm2+", 0.1988765762], + ["Sm2+", "Cd2+", 0.1988765762], + ["Cd2+", "Eu2+", 0.5320299062], + ["Eu2+", "Cd2+", 0.5320299062], + ["Cd2+", "Eu3+", 0.3685390916], + ["Eu3+", "Cd2+", 0.3685390916], + ["Cd2+", "Gd2+", 0.1486968493], + ["Gd2+", "Cd2+", 0.1486968493], + ["Cd2+", "Gd3+", 0.3391089451], + ["Gd3+", "Cd2+", 0.3391089451], + ["Cd2+", "Tb3+", 0.2622606277], + ["Tb3+", "Cd2+", 0.2622606277], + ["Cd2+", "Tb2+", 0.1061068639], + ["Tb2+", "Cd2+", 0.1061068639], + ["Cd2+", "Tb4+", 0.1613131422], + ["Tb4+", "Cd2+", 0.1613131422], + ["Cd2+", "Dy3+", 0.2721264043], + ["Dy3+", "Cd2+", 0.2721264043], + ["Cd2+", "Dy2+", 0.1925532946], + ["Dy2+", "Cd2+", 0.1925532946], + ["Cd2+", "Ho3+", 0.2860999729], + ["Ho3+", "Cd2+", 0.2860999729], + ["Cd2+", "Ho2+", 0.2237494574], + ["Ho2+", "Cd2+", 0.2237494574], + ["Cd2+", "Er3+", 0.293395942], + ["Er3+", "Cd2+", 0.293395942], + ["Cd2+", "Tm3+", 0.2247994812], + ["Tm3+", "Cd2+", 0.2247994812], + ["Cd2+", "Tm2+", 0.2984560177], + ["Tm2+", "Cd2+", 0.2984560177], + ["Cd2+", "Yb3+", 0.2259313311], + ["Yb3+", "Cd2+", 0.2259313311], + ["Cd2+", "Yb2+", 0.217432816], + ["Yb2+", "Cd2+", 0.217432816], + ["Cd2+", "Lu3+", 0.1201102739], + ["Lu3+", "Cd2+", 0.1201102739], + ["Cd2+", "Hf3+", 0.3940161344], + ["Hf3+", "Cd2+", 0.3940161344], + ["Cd2+", "Hf2+", 0.2142362846], + ["Hf2+", "Cd2+", 0.2142362846], + ["Cd2+", "Hf4+", 0.2060467125], + ["Hf4+", "Cd2+", 0.2060467125], + ["Cd2+", "Ta5+", 0.3515713947], + ["Ta5+", "Cd2+", 0.3515713947], + ["Cd2+", "Ta3+", 0.2321700395], + ["Ta3+", "Cd2+", 0.2321700395], + ["Cd2+", "Ta4+", 0.2716219023], + ["Ta4+", "Cd2+", 0.2716219023], + ["Cd2+", "Ta2+", 0.3011656813], + ["Ta2+", "Cd2+", 0.3011656813], + ["Cd2+", "W6+", 0.2168879407], + ["W6+", "Cd2+", 0.2168879407], + ["Cd2+", "W4+", 0.3909111379], + ["W4+", "Cd2+", 0.3909111379], + ["Cd2+", "W2+", 0.3636238374], + ["W2+", "Cd2+", 0.3636238374], + ["Cd2+", "W3+", 0.3598015715], + ["W3+", "Cd2+", 0.3598015715], + ["Cd2+", "W5+", 0.3259575084], + ["W5+", "Cd2+", 0.3259575084], + ["Cd2+", "Re5+", 0.2428395597], + ["Re5+", "Cd2+", 0.2428395597], + ["Cd2+", "Re3+", 0.2609642035], + ["Re3+", "Cd2+", 0.2609642035], + ["Cd2+", "Re6+", 0.1412133764], + ["Re6+", "Cd2+", 0.1412133764], + ["Cd2+", "Re2+", 0.0334422622], + ["Re2+", "Cd2+", 0.0334422622], + ["Cd2+", "Re4+", 0.413944939], + ["Re4+", "Cd2+", 0.413944939], + ["Cd2+", "Re7+", 0.1014420258], + ["Re7+", "Cd2+", 0.1014420258], + ["Cd2+", "Os7+", 0.0485559293], + ["Os7+", "Cd2+", 0.0485559293], + ["Cd2+", "Os6+", -0.0293752329], + ["Os6+", "Cd2+", -0.0293752329], + ["Cd2+", "Os5+", 0.3667371507], + ["Os5+", "Cd2+", 0.3667371507], + ["Cd2+", "Os2-", 0.0261569077], + ["Os2-", "Cd2+", 0.0261569077], + ["Cd2+", "Os3+", 0.217672839], + ["Os3+", "Cd2+", 0.217672839], + ["Cd2+", "Os4+", 0.3014156274], + ["Os4+", "Cd2+", 0.3014156274], + ["Cd2+", "Os8+", 0.0891088203], + ["Os8+", "Cd2+", 0.0891088203], + ["Cd2+", "Os2+", 0.200234824], + ["Os2+", "Cd2+", 0.200234824], + ["Cd2+", "Ir3+", 0.2906240084], + ["Ir3+", "Cd2+", 0.2906240084], + ["Cd2+", "Ir4+", 0.3622666616], + ["Ir4+", "Cd2+", 0.3622666616], + ["Cd2+", "Ir5+", 0.3391396724], + ["Ir5+", "Cd2+", 0.3391396724], + ["Cd2+", "Ir6+", 0.1910788553], + ["Ir6+", "Cd2+", 0.1910788553], + ["Cd2+", "Pt2+", 0.365855343], + ["Pt2+", "Cd2+", 0.365855343], + ["Cd2+", "Pt2-", 0.1666995208], + ["Pt2-", "Cd2+", 0.1666995208], + ["Cd2+", "Pt4+", 0.4468844805], + ["Pt4+", "Cd2+", 0.4468844805], + ["Cd2+", "Pt3+", 0.1948784022], + ["Pt3+", "Cd2+", 0.1948784022], + ["Cd2+", "Pt5+", 0.444234602], + ["Pt5+", "Cd2+", 0.444234602], + ["Cd2+", "Pt6+", 0.2775547003], + ["Pt6+", "Cd2+", 0.2775547003], + ["Cd2+", "Au2+", 0.2540193417], + ["Au2+", "Cd2+", 0.2540193417], + ["Cd2+", "Au3+", 0.4523047724], + ["Au3+", "Cd2+", 0.4523047724], + ["Cd2+", "Au5+", 0.2632496158], + ["Au5+", "Cd2+", 0.2632496158], + ["Cd2+", "Au4+", 0.0897145344], + ["Au4+", "Cd2+", 0.0897145344], + ["Cd2+", "Hg2+", 0.5661915916], + ["Hg2+", "Cd2+", 0.5661915916], + ["Cd2+", "Tl3+", 0.3920521215], + ["Tl3+", "Cd2+", 0.3920521215], + ["Cd2+", "Tl2+", 0.3144778596], + ["Tl2+", "Cd2+", 0.3144778596], + ["Cd2+", "Pb2+", 0.4545075368], + ["Pb2+", "Cd2+", 0.4545075368], + ["Cd2+", "Pb3+", 0.227535734], + ["Pb3+", "Cd2+", 0.227535734], + ["Cd2+", "Pb4+", 0.2467124958], + ["Pb4+", "Cd2+", 0.2467124958], + ["Cd2+", "Bi3+", 0.6028293801], + ["Bi3+", "Cd2+", 0.6028293801], + ["Cd2+", "Bi5+", 0.1852163315], + ["Bi5+", "Cd2+", 0.1852163315], + ["Cd2+", "Bi2+", 0.161467249], + ["Bi2+", "Cd2+", 0.161467249], + ["Cd2+", "Bi3-", 0.1753695011], + ["Bi3-", "Cd2+", 0.1753695011], + ["Cd2+", "Bi4+", 0.0849851053], + ["Bi4+", "Cd2+", 0.0849851053], + ["Cd2+", "Ac3+", 0.2894504639], + ["Ac3+", "Cd2+", 0.2894504639], + ["Cd2+", "Th4+", 0.2443373752], + ["Th4+", "Cd2+", 0.2443373752], + ["Cd2+", "Th3+", 0.2414241328], + ["Th3+", "Cd2+", 0.2414241328], + ["Cd2+", "Pa4+", 0.2966769609], + ["Pa4+", "Cd2+", 0.2966769609], + ["Cd2+", "Pa5+", 0.2042349032], + ["Pa5+", "Cd2+", 0.2042349032], + ["Cd2+", "Pa3+", 0.357724756], + ["Pa3+", "Cd2+", 0.357724756], + ["Cd2+", "U6+", 0.1152617658], + ["U6+", "Cd2+", 0.1152617658], + ["Cd2+", "U4+", 0.2115822431], + ["U4+", "Cd2+", 0.2115822431], + ["Cd2+", "U3+", 0.2619700726], + ["U3+", "Cd2+", 0.2619700726], + ["Cd2+", "U2+", 0.3221594749], + ["U2+", "Cd2+", 0.3221594749], + ["Cd2+", "U5+", 0.0912751657], + ["U5+", "Cd2+", 0.0912751657], + ["Cd2+", "Np6+", 0.2489499549], + ["Np6+", "Cd2+", 0.2489499549], + ["Cd2+", "Np4+", 0.1231775532], + ["Np4+", "Cd2+", 0.1231775532], + ["Cd2+", "Np3+", 0.381949364], + ["Np3+", "Cd2+", 0.381949364], + ["Cd2+", "Np7+", 0.2745045816], + ["Np7+", "Cd2+", 0.2745045816], + ["Cd2+", "Np5+", 0.4636961345], + ["Np5+", "Cd2+", 0.4636961345], + ["Cd2+", "Pu7+", 0.1305000196], + ["Pu7+", "Cd2+", 0.1305000196], + ["Cd2+", "Pu6+", 0.162827846], + ["Pu6+", "Cd2+", 0.162827846], + ["Cd2+", "Pu3+", 0.2414863513], + ["Pu3+", "Cd2+", 0.2414863513], + ["Cd2+", "Pu4+", 0.053901878], + ["Pu4+", "Cd2+", 0.053901878], + ["Cd2+", "Pu5+", 0.2342351031], + ["Pu5+", "Cd2+", 0.2342351031], + ["Cd2+", "H1+", -0.0446861566], + ["H1+", "Cd2+", -0.0446861566], + ["Cd2+", "H1-", 0.1370125445], + ["H1-", "Cd2+", 0.1370125445], + ["Cd2+", "Li1+", 0.3371325115], + ["Li1+", "Cd2+", 0.3371325115], + ["Cd2+", "B1+", 0.1802399373], + ["B1+", "Cd2+", 0.1802399373], + ["Cd2+", "B1-", -0.2296276612], + ["B1-", "Cd2+", -0.2296276612], + ["Cd2+", "C1-", 0.1849700212], + ["C1-", "Cd2+", 0.1849700212], + ["Cd2+", "C1+", 0.2566678032], + ["C1+", "Cd2+", 0.2566678032], + ["Cd2+", "N1-", 0.0936708868], + ["N1-", "Cd2+", 0.0936708868], + ["Cd2+", "N1+", 0.1930550982], + ["N1+", "Cd2+", 0.1930550982], + ["Cd2+", "O1-", 0.1791864284], + ["O1-", "Cd2+", 0.1791864284], + ["Cd2+", "F1-", 0.1325758583], + ["F1-", "Cd2+", 0.1325758583], + ["Cd2+", "Na1+", 0.4994514814], + ["Na1+", "Cd2+", 0.4994514814], + ["Cd2+", "Si1-", 0.0410325605], + ["Si1-", "Cd2+", 0.0410325605], + ["Cd2+", "P1+", 0.0867827021], + ["P1+", "Cd2+", 0.0867827021], + ["Cd2+", "P1-", 0.1218619972], + ["P1-", "Cd2+", 0.1218619972], + ["Cd2+", "S1-", 0.1117611829], + ["S1-", "Cd2+", 0.1117611829], + ["Cd2+", "S1+", 0.1684745816], + ["S1+", "Cd2+", 0.1684745816], + ["Cd2+", "Cl1-", 0.1798831683], + ["Cl1-", "Cd2+", 0.1798831683], + ["Cd2+", "K1+", 0.5965634997], + ["K1+", "Cd2+", 0.5965634997], + ["Cd2+", "Sc1+", 0.2272166192], + ["Sc1+", "Cd2+", 0.2272166192], + ["Cd2+", "Mn1+", 0.2786799929], + ["Mn1+", "Cd2+", 0.2786799929], + ["Cd2+", "Fe1+", 0.1927160485], + ["Fe1+", "Cd2+", 0.1927160485], + ["Cd2+", "Co1+", 0.2992816629], + ["Co1+", "Cd2+", 0.2992816629], + ["Cd2+", "Ni1+", 0.2962814898], + ["Ni1+", "Cd2+", 0.2962814898], + ["Cd2+", "Cu1+", 0.5696463824], + ["Cu1+", "Cd2+", 0.5696463824], + ["Cd2+", "Ga1+", 0.3085526126], + ["Ga1+", "Cd2+", 0.3085526126], + ["Cd2+", "As1-", 0.1381814761], + ["As1-", "Cd2+", 0.1381814761], + ["Cd2+", "As1+", 0.3134498812], + ["As1+", "Cd2+", 0.3134498812], + ["Cd2+", "Se1-", 0.1516984443], + ["Se1-", "Cd2+", 0.1516984443], + ["Cd2+", "Se1+", 0.2598057739], + ["Se1+", "Cd2+", 0.2598057739], + ["Cd2+", "Br1-", 0.160336827], + ["Br1-", "Cd2+", 0.160336827], + ["Cd2+", "Br1+", 0.1583199823], + ["Br1+", "Cd2+", 0.1583199823], + ["Cd2+", "Rb1+", 0.5039794115], + ["Rb1+", "Cd2+", 0.5039794115], + ["Cd2+", "Y1+", 0.0752636334], + ["Y1+", "Cd2+", 0.0752636334], + ["Cd2+", "Zr1+", 0.2008582525], + ["Zr1+", "Cd2+", 0.2008582525], + ["Cd2+", "Nb1+", 0.3949956726], + ["Nb1+", "Cd2+", 0.3949956726], + ["Cd2+", "Tc1-", 0.1891800161], + ["Tc1-", "Cd2+", 0.1891800161], + ["Cd2+", "Tc1+", 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["Sn4+", "Sm3+", 0.5174172394], + ["Sm3+", "Sn4+", 0.5174172394], + ["Sn4+", "Sm2+", 0.0742743238], + ["Sm2+", "Sn4+", 0.0742743238], + ["Sn4+", "Eu2+", 0.3091496435], + ["Eu2+", "Sn4+", 0.3091496435], + ["Sn4+", "Eu3+", 0.3523445585], + ["Eu3+", "Sn4+", 0.3523445585], + ["Sn4+", "Gd2+", 0.1780966091], + ["Gd2+", "Sn4+", 0.1780966091], + ["Sn4+", "Gd3+", 0.4773256594], + ["Gd3+", "Sn4+", 0.4773256594], + ["Sn4+", "Tb3+", 0.4598471225], + ["Tb3+", "Sn4+", 0.4598471225], + ["Sn4+", "Tb2+", 0.0940399039], + ["Tb2+", "Sn4+", 0.0940399039], + ["Sn4+", "Tb4+", 0.1123152289], + ["Tb4+", "Sn4+", 0.1123152289], + ["Sn4+", "Dy3+", 0.4266126911], + ["Dy3+", "Sn4+", 0.4266126911], + ["Sn4+", "Dy2+", 0.0814197239], + ["Dy2+", "Sn4+", 0.0814197239], + ["Sn4+", "Ho3+", 0.4631518629], + ["Ho3+", "Sn4+", 0.4631518629], + ["Sn4+", "Ho2+", 0.2184953627], + ["Ho2+", "Sn4+", 0.2184953627], + ["Sn4+", "Er3+", 0.3283771525], + ["Er3+", "Sn4+", 0.3283771525], + ["Sn4+", "Tm3+", 0.4064090729], + ["Tm3+", "Sn4+", 0.4064090729], + ["Sn4+", "Tm2+", 0.2089592516], + ["Tm2+", "Sn4+", 0.2089592516], + ["Sn4+", "Yb3+", 0.3118323704], + ["Yb3+", "Sn4+", 0.3118323704], + ["Sn4+", "Yb2+", 0.2327604735], + ["Yb2+", "Sn4+", 0.2327604735], + ["Sn4+", "Lu3+", 0.2656755899], + ["Lu3+", "Sn4+", 0.2656755899], + ["Sn4+", "Hf3+", 0.2521076465], + ["Hf3+", "Sn4+", 0.2521076465], + ["Sn4+", "Hf2+", 0.0847514461], + ["Hf2+", "Sn4+", 0.0847514461], + ["Sn4+", "Hf4+", 0.3552682851], + ["Hf4+", "Sn4+", 0.3552682851], + ["Sn4+", "Ta5+", 0.5190771944], + ["Ta5+", "Sn4+", 0.5190771944], + ["Sn4+", "Ta3+", 0.0487298974], + ["Ta3+", "Sn4+", 0.0487298974], + ["Sn4+", "Ta4+", 0.4459474051], + ["Ta4+", "Sn4+", 0.4459474051], + ["Sn4+", "Ta2+", 0.0134851839], + ["Ta2+", "Sn4+", 0.0134851839], + ["Sn4+", "W6+", 0.5163287253], + ["W6+", "Sn4+", 0.5163287253], + ["Sn4+", "W4+", 0.388689438], + ["W4+", "Sn4+", 0.388689438], + ["Sn4+", "W2+", 0.4177574016], + ["W2+", "Sn4+", 0.4177574016], + ["Sn4+", "W3+", 0.3304676724], + ["W3+", "Sn4+", 0.3304676724], + ["Sn4+", "W5+", 0.4267271518], + ["W5+", "Sn4+", 0.4267271518], + ["Sn4+", "Re5+", 0.3982255973], + ["Re5+", "Sn4+", 0.3982255973], + ["Sn4+", "Re3+", 0.240138649], + ["Re3+", "Sn4+", 0.240138649], + ["Sn4+", "Re6+", 0.2405990802], + ["Re6+", "Sn4+", 0.2405990802], + ["Sn4+", "Re2+", 0.3381444152], + ["Re2+", "Sn4+", 0.3381444152], + ["Sn4+", "Re4+", 0.255406916], + ["Re4+", "Sn4+", 0.255406916], + ["Sn4+", "Re7+", 0.4056457702], + ["Re7+", "Sn4+", 0.4056457702], + ["Sn4+", "Os7+", 0.2097079454], + ["Os7+", "Sn4+", 0.2097079454], + ["Sn4+", "Os6+", 0.0399447082], + ["Os6+", "Sn4+", 0.0399447082], + ["Sn4+", "Os5+", 0.3434663351], + ["Os5+", "Sn4+", 0.3434663351], + ["Sn4+", "Os2-", 0.1870557433], + ["Os2-", "Sn4+", 0.1870557433], + ["Sn4+", "Os3+", 0.212570939], + ["Os3+", "Sn4+", 0.212570939], + ["Sn4+", "Os4+", 0.1758441189], + ["Os4+", "Sn4+", 0.1758441189], + ["Sn4+", "Os8+", 0.1107698882], + ["Os8+", "Sn4+", 0.1107698882], + ["Sn4+", "Os2+", 0.2259650281], + ["Os2+", "Sn4+", 0.2259650281], + ["Sn4+", "Ir3+", -0.0631310583], + ["Ir3+", "Sn4+", -0.0631310583], + ["Sn4+", "Ir4+", 0.3430301857], + ["Ir4+", "Sn4+", 0.3430301857], + ["Sn4+", "Ir5+", 0.5190798094], + ["Ir5+", "Sn4+", 0.5190798094], + ["Sn4+", "Ir6+", 0.241023219], + ["Ir6+", "Sn4+", 0.241023219], + ["Sn4+", "Pt2+", 0.263125937], + ["Pt2+", "Sn4+", 0.263125937], + ["Sn4+", "Pt2-", -0.0182936454], + ["Pt2-", "Sn4+", -0.0182936454], + ["Sn4+", "Pt4+", 0.235721028], + ["Pt4+", "Sn4+", 0.235721028], + ["Sn4+", "Pt3+", 0.1908090924], + ["Pt3+", "Sn4+", 0.1908090924], + ["Sn4+", "Pt5+", 0.2252595865], + ["Pt5+", "Sn4+", 0.2252595865], + ["Sn4+", "Pt6+", 0.1260590338], + ["Pt6+", "Sn4+", 0.1260590338], + ["Sn4+", "Au2+", 0.1324976285], + ["Au2+", "Sn4+", 0.1324976285], + ["Sn4+", "Au3+", 0.141481111], + ["Au3+", "Sn4+", 0.141481111], + ["Sn4+", "Au5+", 0.0770047323], + ["Au5+", "Sn4+", 0.0770047323], + ["Sn4+", "Au4+", 0.0800751006], + ["Au4+", "Sn4+", 0.0800751006], + ["Sn4+", "Hg2+", 0.3522391104], + ["Hg2+", "Sn4+", 0.3522391104], + ["Sn4+", "Tl3+", 0.2370220668], + ["Tl3+", "Sn4+", 0.2370220668], + ["Sn4+", "Tl2+", 0.3641694161], + ["Tl2+", "Sn4+", 0.3641694161], + ["Sn4+", "Pb2+", 0.4719760267], + ["Pb2+", "Sn4+", 0.4719760267], + ["Sn4+", "Pb3+", 0.2307992192], + ["Pb3+", "Sn4+", 0.2307992192], + ["Sn4+", "Pb4+", 0.3337454203], + ["Pb4+", "Sn4+", 0.3337454203], + ["Sn4+", "Bi3+", 0.5943915793], + ["Bi3+", "Sn4+", 0.5943915793], + ["Sn4+", "Bi5+", 0.2376775023], + ["Bi5+", "Sn4+", 0.2376775023], + ["Sn4+", "Bi2+", 0.5122031985], + ["Bi2+", "Sn4+", 0.5122031985], + ["Sn4+", "Bi3-", 0.0489337331], + ["Bi3-", "Sn4+", 0.0489337331], + ["Sn4+", "Bi4+", 0.2288325584], + ["Bi4+", "Sn4+", 0.2288325584], + ["Sn4+", "Ac3+", 0.2945239933], + ["Ac3+", "Sn4+", 0.2945239933], + ["Sn4+", "Th4+", 0.1177634268], + ["Th4+", "Sn4+", 0.1177634268], + ["Sn4+", "Th3+", 0.2405604972], + ["Th3+", "Sn4+", 0.2405604972], + ["Sn4+", "Pa4+", 0.2399003767], + ["Pa4+", "Sn4+", 0.2399003767], + ["Sn4+", "Pa5+", 0.3051931267], + ["Pa5+", "Sn4+", 0.3051931267], + ["Sn4+", "Pa3+", 0.0065315074], + ["Pa3+", "Sn4+", 0.0065315074], + ["Sn4+", "U6+", 0.4257459833], + ["U6+", "Sn4+", 0.4257459833], + ["Sn4+", "U4+", 0.174400614], + ["U4+", "Sn4+", 0.174400614], + ["Sn4+", "U3+", 0.0502700094], + ["U3+", "Sn4+", 0.0502700094], + ["Sn4+", "U2+", 0.2650061076], + ["U2+", "Sn4+", 0.2650061076], + ["Sn4+", "U5+", 0.1109988281], + ["U5+", "Sn4+", 0.1109988281], + ["Sn4+", "Np6+", 0.1413244573], + ["Np6+", "Sn4+", 0.1413244573], + ["Sn4+", "Np4+", 0.1317469968], + ["Np4+", "Sn4+", 0.1317469968], + ["Sn4+", "Np3+", 0.191637839], + ["Np3+", "Sn4+", 0.191637839], + ["Sn4+", "Np7+", 0.3718857768], + ["Np7+", "Sn4+", 0.3718857768], + ["Sn4+", "Np5+", 0.4001562891], + ["Np5+", "Sn4+", 0.4001562891], + ["Sn4+", "Pu7+", 0.3882044067], + ["Pu7+", "Sn4+", 0.3882044067], + ["Sn4+", "Pu6+", 0.2232011159], + ["Pu6+", "Sn4+", 0.2232011159], + ["Sn4+", "Pu3+", 0.4730140355], + ["Pu3+", "Sn4+", 0.4730140355], + ["Sn4+", "Pu4+", 0.2344177873], + ["Pu4+", "Sn4+", 0.2344177873], + ["Sn4+", "Pu5+", 0.308988368], + ["Pu5+", "Sn4+", 0.308988368], + ["Sn4+", "H1+", 0.3393488318], + ["H1+", "Sn4+", 0.3393488318], + ["Sn4+", "H1-", 0.1629158733], + ["H1-", "Sn4+", 0.1629158733], + ["Sn4+", "Li1+", 0.3741623643], + ["Li1+", "Sn4+", 0.3741623643], + ["Sn4+", "B1+", 0.0591892394], + ["B1+", "Sn4+", 0.0591892394], + ["Sn4+", "B1-", -0.1198881951], + ["B1-", "Sn4+", -0.1198881951], + ["Sn4+", "C1-", 0.1045117494], + ["C1-", "Sn4+", 0.1045117494], + ["Sn4+", "C1+", 0.0861532661], + ["C1+", "Sn4+", 0.0861532661], + ["Sn4+", "N1-", 0.2132860332], + ["N1-", "Sn4+", 0.2132860332], + ["Sn4+", "N1+", 0.1665400546], + ["N1+", "Sn4+", 0.1665400546], + ["Sn4+", "O1-", 0.0787609792], + ["O1-", "Sn4+", 0.0787609792], + ["Sn4+", "F1-", 0.1342846732], + ["F1-", "Sn4+", 0.1342846732], + ["Sn4+", "Na1+", 0.550519683], + ["Na1+", "Sn4+", 0.550519683], + ["Sn4+", "Si1-", 0.0260045305], + ["Si1-", "Sn4+", 0.0260045305], + ["Sn4+", "P1+", 0.0816084149], + ["P1+", "Sn4+", 0.0816084149], + ["Sn4+", "P1-", -0.1438641249], + ["P1-", "Sn4+", -0.1438641249], + ["Sn4+", "S1-", 0.2927565502], + ["S1-", "Sn4+", 0.2927565502], + ["Sn4+", "S1+", 0.1658197478], + ["S1+", "Sn4+", 0.1658197478], + ["Sn4+", "Cl1-", 0.1346426785], + ["Cl1-", "Sn4+", 0.1346426785], + ["Sn4+", "K1+", 0.4363219624], + ["K1+", "Sn4+", 0.4363219624], + ["Sn4+", "Sc1+", -0.0703582231], + ["Sc1+", "Sn4+", -0.0703582231], + ["Sn4+", "Mn1+", 0.0744171625], + ["Mn1+", "Sn4+", 0.0744171625], + ["Sn4+", "Fe1+", 0.1251533052], + ["Fe1+", "Sn4+", 0.1251533052], + ["Sn4+", "Co1+", 0.1070011364], + ["Co1+", "Sn4+", 0.1070011364], + ["Sn4+", "Ni1+", 0.1438446306], + ["Ni1+", "Sn4+", 0.1438446306], + ["Sn4+", "Cu1+", 0.4142389917], + ["Cu1+", "Sn4+", 0.4142389917], + ["Sn4+", "Ga1+", -0.0601538375], + ["Ga1+", "Sn4+", -0.0601538375], + ["Sn4+", "As1-", -0.0370521584], + ["As1-", "Sn4+", -0.0370521584], + ["Sn4+", "As1+", 0.4354807267], + ["As1+", "Sn4+", 0.4354807267], + ["Sn4+", "Se1-", 0.17470558], + ["Se1-", "Sn4+", 0.17470558], + ["Sn4+", "Se1+", 0.3064060085], + ["Se1+", "Sn4+", 0.3064060085], + ["Sn4+", "Br1-", 0.1454897129], + ["Br1-", "Sn4+", 0.1454897129], + ["Sn4+", "Br1+", 0.1830446556], + ["Br1+", "Sn4+", 0.1830446556], + ["Sn4+", "Rb1+", 0.3658540194], + ["Rb1+", "Sn4+", 0.3658540194], + ["Sn4+", "Y1+", 0.0902731737], + ["Y1+", "Sn4+", 0.0902731737], + ["Sn4+", "Zr1+", -0.1056823055], + ["Zr1+", "Sn4+", -0.1056823055], + ["Sn4+", "Nb1+", 0.0782458247], + ["Nb1+", "Sn4+", 0.0782458247], + ["Sn4+", "Tc1-", 0.086120316], + ["Tc1-", "Sn4+", 0.086120316], + ["Sn4+", "Tc1+", 0.2450891406], + ["Tc1+", "Sn4+", 0.2450891406], + ["Sn4+", "Rh1+", -0.0636441742], + ["Rh1+", "Sn4+", -0.0636441742], + ["Sn4+", "Ag1+", 0.5137710238], + ["Ag1+", "Sn4+", 0.5137710238], + ["Sn4+", "In1+", 0.1202834624], + ["In1+", "Sn4+", 0.1202834624], + ["Sn4+", "Sb1-", -0.0557984462], + ["Sb1-", "Sn4+", -0.0557984462], + ["Sn4+", "Sb1+", 0.2550087109], + ["Sb1+", "Sn4+", 0.2550087109], + ["Sn4+", "Te1-", 0.1455863926], + ["Te1-", "Sn4+", 0.1455863926], + ["Sn4+", "Te1+", 0.1486294588], + ["Te1+", "Sn4+", 0.1486294588], + ["Sn4+", "I1-", -0.0112719627], + ["I1-", "Sn4+", -0.0112719627], + ["Sn4+", "I1+", 0.1611404456], + ["I1+", "Sn4+", 0.1611404456], + ["Sn4+", "Cs1+", 0.4635923007], + ["Cs1+", "Sn4+", 0.4635923007], + ["Sn4+", "La1+", -0.0744658864], + ["La1+", "Sn4+", -0.0744658864], + ["Sn4+", "Tb1+", -0.0257987978], + ["Tb1+", "Sn4+", -0.0257987978], + ["Sn4+", "Ta1+", 0.2215193864], + ["Ta1+", "Sn4+", 0.2215193864], + ["Sn4+", "Os1-", 0.1319437746], + ["Os1-", "Sn4+", 0.1319437746], + ["Sn4+", "Os1+", -0.1274746636], + ["Os1+", "Sn4+", -0.1274746636], + ["Sn4+", "Pt1-", 0.1388166756], + ["Pt1-", "Sn4+", 0.1388166756], + ["Sn4+", "Pt1+", 0.0222983382], + ["Pt1+", "Sn4+", 0.0222983382], + ["Sn4+", "Au1-", -0.0719723434], + ["Au1-", "Sn4+", -0.0719723434], + ["Sn4+", "Au1+", 0.1886694825], + ["Au1+", "Sn4+", 0.1886694825], + ["Sn4+", "Hg1+", 0.1890560931], + ["Hg1+", "Sn4+", 0.1890560931], + ["Sn4+", "Tl1+", 0.4975295365], + ["Tl1+", "Sn4+", 0.4975295365], + ["Sn4+", "Bi1+", 0.2966480938], + ["Bi1+", "Sn4+", 0.2966480938], + ["Sn3+", "Sn3+", 1.0], + ["Sn3+", "Sn2+", 0.3852007053], + ["Sn2+", "Sn3+", 0.3852007053], + ["Sn3+", "Sb5+", 0.4077779909], + ["Sb5+", "Sn3+", 0.4077779909], + ["Sn3+", "Sb2-", -0.0307578346], + ["Sb2-", "Sn3+", -0.0307578346], + ["Sn3+", "Sb3-", -0.0426526977], + ["Sb3-", "Sn3+", -0.0426526977], + ["Sn3+", "Sb3+", 0.3520521426], + ["Sb3+", "Sn3+", 0.3520521426], + ["Sn3+", "Sb4+", 0.3057649348], + ["Sb4+", "Sn3+", 0.3057649348], + ["Sn3+", "Te2-", 0.0412254653], + ["Te2-", "Sn3+", 0.0412254653], + ["Sn3+", "Te4+", 0.4417361472], + ["Te4+", "Sn3+", 0.4417361472], + ["Sn3+", "Te6+", 0.2909742603], + ["Te6+", "Sn3+", 0.2909742603], + ["Sn3+", "Te2+", 0.2204026549], + ["Te2+", "Sn3+", 0.2204026549], + ["Sn3+", "Te5+", 0.4050556467], + ["Te5+", "Sn3+", 0.4050556467], + ["Sn3+", "I3+", 0.2317706009], + ["I3+", "Sn3+", 0.2317706009], + ["Sn3+", "I7+", 0.3770082107], + ["I7+", "Sn3+", 0.3770082107], + ["Sn3+", "I5+", 0.4094340049], + ["I5+", "Sn3+", 0.4094340049], + ["Sn3+", "I2+", 0.3519373824], + ["I2+", "Sn3+", 0.3519373824], + ["Sn3+", "Ba2+", 0.4784422576], + ["Ba2+", "Sn3+", 0.4784422576], + ["Sn3+", "La3+", 0.4552060004], + ["La3+", "Sn3+", 0.4552060004], + ["Sn3+", "La2+", 0.3086241825], + ["La2+", "Sn3+", 0.3086241825], + ["Sn3+", "Ce3+", 0.2222315108], + ["Ce3+", "Sn3+", 0.2222315108], + ["Sn3+", "Ce2+", 0.1615390009], + ["Ce2+", "Sn3+", 0.1615390009], + ["Sn3+", "Ce4+", 0.2246007912], + ["Ce4+", "Sn3+", 0.2246007912], + ["Sn3+", "Pr3+", 0.2988453709], + ["Pr3+", "Sn3+", 0.2988453709], + ["Sn3+", "Pr4+", 0.2563571112], + ["Pr4+", "Sn3+", 0.2563571112], + ["Sn3+", "Pr2+", 0.1233795406], + ["Pr2+", "Sn3+", 0.1233795406], + ["Sn3+", "Nd3+", 0.2259640634], + ["Nd3+", "Sn3+", 0.2259640634], + ["Sn3+", "Nd2+", 0.2921265975], + ["Nd2+", "Sn3+", 0.2921265975], + ["Sn3+", "Pm3+", 0.3695773309], + ["Pm3+", "Sn3+", 0.3695773309], + ["Sn3+", "Sm3+", 0.3112457805], + ["Sm3+", "Sn3+", 0.3112457805], + ["Sn3+", "Sm2+", 0.1035156596], + ["Sm2+", "Sn3+", 0.1035156596], + ["Sn3+", "Eu2+", 0.3798183587], + ["Eu2+", "Sn3+", 0.3798183587], + ["Sn3+", "Eu3+", 0.4340701614], + ["Eu3+", "Sn3+", 0.4340701614], + ["Sn3+", "Gd2+", 0.1081985575], + ["Gd2+", "Sn3+", 0.1081985575], + ["Sn3+", "Gd3+", 0.448998585], + ["Gd3+", "Sn3+", 0.448998585], + ["Sn3+", "Tb3+", 0.2714528162], + ["Tb3+", "Sn3+", 0.2714528162], + ["Sn3+", "Tb2+", 0.142080881], + ["Tb2+", "Sn3+", 0.142080881], + ["Sn3+", "Tb4+", 0.23929373], + ["Tb4+", "Sn3+", 0.23929373], + ["Sn3+", "Dy3+", 0.3318548228], + ["Dy3+", "Sn3+", 0.3318548228], + ["Sn3+", "Dy2+", 0.0733238832], + ["Dy2+", "Sn3+", 0.0733238832], + ["Sn3+", "Ho3+", 0.3548431907], + ["Ho3+", "Sn3+", 0.3548431907], + ["Sn3+", "Ho2+", 0.2132040458], + ["Ho2+", "Sn3+", 0.2132040458], + ["Sn3+", "Er3+", 0.2912172803], + ["Er3+", "Sn3+", 0.2912172803], + ["Sn3+", "Tm3+", 0.3638692056], + ["Tm3+", "Sn3+", 0.3638692056], + ["Sn3+", "Tm2+", 0.0341585653], + ["Tm2+", "Sn3+", 0.0341585653], + ["Sn3+", "Yb3+", 0.3177940907], + ["Yb3+", "Sn3+", 0.3177940907], + ["Sn3+", "Yb2+", 0.0777841749], + ["Yb2+", "Sn3+", 0.0777841749], + ["Sn3+", "Lu3+", 0.3012024598], + ["Lu3+", "Sn3+", 0.3012024598], + ["Sn3+", "Hf3+", 0.0276031898], + ["Hf3+", "Sn3+", 0.0276031898], + ["Sn3+", "Hf2+", 0.1215504025], + ["Hf2+", "Sn3+", 0.1215504025], + ["Sn3+", "Hf4+", 0.308891268], + ["Hf4+", "Sn3+", 0.308891268], + ["Sn3+", "Ta5+", 0.3906182716], + ["Ta5+", "Sn3+", 0.3906182716], + ["Sn3+", "Ta3+", -0.1302345975], + ["Ta3+", "Sn3+", -0.1302345975], + ["Sn3+", "Ta4+", 0.1862389149], + ["Ta4+", "Sn3+", 0.1862389149], + ["Sn3+", "Ta2+", -0.1198608213], + ["Ta2+", "Sn3+", -0.1198608213], + ["Sn3+", "W6+", 0.3168266509], + ["W6+", "Sn3+", 0.3168266509], + ["Sn3+", "W4+", 0.3412904051], + ["W4+", "Sn3+", 0.3412904051], + ["Sn3+", "W2+", 0.1007557526], + ["W2+", "Sn3+", 0.1007557526], + ["Sn3+", "W3+", 0.1435470732], + ["W3+", "Sn3+", 0.1435470732], + ["Sn3+", "W5+", 0.3497642158], + ["W5+", "Sn3+", 0.3497642158], + ["Sn3+", "Re5+", 0.1525886599], + ["Re5+", "Sn3+", 0.1525886599], + ["Sn3+", "Re3+", -0.0309995547], + ["Re3+", "Sn3+", -0.0309995547], + ["Sn3+", "Re6+", 0.1496640305], + ["Re6+", "Sn3+", 0.1496640305], + ["Sn3+", "Re2+", 0.1973410819], + ["Re2+", "Sn3+", 0.1973410819], + ["Sn3+", "Re4+", -0.0498685403], + ["Re4+", "Sn3+", -0.0498685403], + ["Sn3+", "Re7+", 0.3277703342], + ["Re7+", "Sn3+", 0.3277703342], + ["Sn3+", "Os7+", 0.2689732278], + ["Os7+", "Sn3+", 0.2689732278], + ["Sn3+", "Os6+", 0.0337399129], + ["Os6+", "Sn3+", 0.0337399129], + ["Sn3+", "Os5+", 0.2993553908], + ["Os5+", "Sn3+", 0.2993553908], + ["Sn3+", "Os2-", -0.1061230272], + ["Os2-", "Sn3+", -0.1061230272], + ["Sn3+", "Os3+", -0.0453536328], + ["Os3+", "Sn3+", -0.0453536328], + ["Sn3+", "Os4+", -0.0072551675], + ["Os4+", "Sn3+", -0.0072551675], + ["Sn3+", "Os8+", -0.0300512449], + ["Os8+", "Sn3+", -0.0300512449], + ["Sn3+", "Os2+", 0.1970707783], + ["Os2+", "Sn3+", 0.1970707783], + ["Sn3+", "Ir3+", -0.0056749426], + ["Ir3+", "Sn3+", -0.0056749426], + ["Sn3+", "Ir4+", 0.1171671074], + ["Ir4+", "Sn3+", 0.1171671074], + ["Sn3+", "Ir5+", 0.2441334057], + ["Ir5+", "Sn3+", 0.2441334057], + ["Sn3+", "Ir6+", 0.2037170126], + ["Ir6+", "Sn3+", 0.2037170126], + ["Sn3+", "Pt2+", 0.1083106638], + ["Pt2+", "Sn3+", 0.1083106638], + ["Sn3+", "Pt2-", -0.066138094], + ["Pt2-", "Sn3+", -0.066138094], + ["Sn3+", "Pt4+", 0.2119279734], + ["Pt4+", "Sn3+", 0.2119279734], + ["Sn3+", "Pt3+", 0.1701039461], + ["Pt3+", "Sn3+", 0.1701039461], + ["Sn3+", "Pt5+", 0.1259279944], + ["Pt5+", "Sn3+", 0.1259279944], + ["Sn3+", "Pt6+", 0.1150502431], + ["Pt6+", "Sn3+", 0.1150502431], + ["Sn3+", "Au2+", 0.2007254719], + ["Au2+", "Sn3+", 0.2007254719], + ["Sn3+", "Au3+", 0.1726033753], + ["Au3+", "Sn3+", 0.1726033753], + ["Sn3+", "Au5+", 0.1099011473], + ["Au5+", "Sn3+", 0.1099011473], + ["Sn3+", "Au4+", -0.0087989211], + ["Au4+", "Sn3+", -0.0087989211], + ["Sn3+", "Hg2+", 0.2537265616], + ["Hg2+", "Sn3+", 0.2537265616], + ["Sn3+", "Tl3+", 0.2937291408], + ["Tl3+", "Sn3+", 0.2937291408], + ["Sn3+", "Tl2+", 0.3695099382], + ["Tl2+", "Sn3+", 0.3695099382], + ["Sn3+", "Pb2+", 0.3322201992], + ["Pb2+", "Sn3+", 0.3322201992], + ["Sn3+", "Pb3+", 0.2398938473], + ["Pb3+", "Sn3+", 0.2398938473], + ["Sn3+", "Pb4+", 0.3340254586], + ["Pb4+", "Sn3+", 0.3340254586], + ["Sn3+", "Bi3+", 0.466596371], + ["Bi3+", "Sn3+", 0.466596371], + ["Sn3+", "Bi5+", 0.3440427825], + ["Bi5+", "Sn3+", 0.3440427825], + ["Sn3+", "Bi2+", 0.3491638189], + ["Bi2+", "Sn3+", 0.3491638189], + ["Sn3+", "Bi3-", 0.1953150047], + ["Bi3-", "Sn3+", 0.1953150047], + ["Sn3+", "Bi4+", 0.3283340563], + ["Bi4+", "Sn3+", 0.3283340563], + ["Sn3+", "Ac3+", 0.1911072032], + ["Ac3+", "Sn3+", 0.1911072032], + ["Sn3+", "Th4+", 0.1861727988], + ["Th4+", "Sn3+", 0.1861727988], + ["Sn3+", "Th3+", -0.0381596816], + ["Th3+", "Sn3+", -0.0381596816], + ["Sn3+", "Pa4+", 0.1632062634], + ["Pa4+", "Sn3+", 0.1632062634], + ["Sn3+", "Pa5+", 0.4009976226], + ["Pa5+", "Sn3+", 0.4009976226], + ["Sn3+", "Pa3+", 0.1459466189], + ["Pa3+", "Sn3+", 0.1459466189], + ["Sn3+", "U6+", 0.2762590783], + ["U6+", "Sn3+", 0.2762590783], + ["Sn3+", "U4+", 0.1078250041], + ["U4+", "Sn3+", 0.1078250041], + ["Sn3+", "U3+", -0.0270876691], + ["U3+", "Sn3+", -0.0270876691], + ["Sn3+", "U2+", -0.0088607336], + ["U2+", "Sn3+", -0.0088607336], + ["Sn3+", "U5+", 0.1192509391], + ["U5+", "Sn3+", 0.1192509391], + ["Sn3+", "Np6+", 0.32353051], + ["Np6+", "Sn3+", 0.32353051], + ["Sn3+", "Np4+", 0.1857893845], + ["Np4+", "Sn3+", 0.1857893845], + ["Sn3+", "Np3+", 0.0515387542], + ["Np3+", "Sn3+", 0.0515387542], + ["Sn3+", "Np7+", 0.3407638544], + ["Np7+", "Sn3+", 0.3407638544], + ["Sn3+", "Np5+", 0.2784396666], + ["Np5+", "Sn3+", 0.2784396666], + ["Sn3+", "Pu7+", 0.3766444535], + ["Pu7+", "Sn3+", 0.3766444535], + ["Sn3+", "Pu6+", 0.1353113061], + ["Pu6+", "Sn3+", 0.1353113061], + ["Sn3+", "Pu3+", 0.169904734], + ["Pu3+", "Sn3+", 0.169904734], + ["Sn3+", "Pu4+", 0.1878096807], + ["Pu4+", "Sn3+", 0.1878096807], + ["Sn3+", "Pu5+", 0.3069309781], + ["Pu5+", "Sn3+", 0.3069309781], + ["Sn3+", "H1+", 0.1372836926], + ["H1+", "Sn3+", 0.1372836926], + ["Sn3+", "H1-", 0.0351966672], + ["H1-", "Sn3+", 0.0351966672], + ["Sn3+", "Li1+", 0.5473416989], + ["Li1+", "Sn3+", 0.5473416989], + ["Sn3+", "B1+", 0.0504640204], + ["B1+", "Sn3+", 0.0504640204], + ["Sn3+", "B1-", -0.0567572266], + ["B1-", "Sn3+", -0.0567572266], + ["Sn3+", "C1-", -0.0149660188], + ["C1-", "Sn3+", -0.0149660188], + ["Sn3+", "C1+", 0.1628661249], + ["C1+", "Sn3+", 0.1628661249], + ["Sn3+", "N1-", 0.0853948414], + ["N1-", "Sn3+", 0.0853948414], + ["Sn3+", "N1+", 0.228371955], + ["N1+", "Sn3+", 0.228371955], + ["Sn3+", "O1-", 0.0472695472], + ["O1-", "Sn3+", 0.0472695472], + ["Sn3+", "F1-", 0.1553858039], + ["F1-", "Sn3+", 0.1553858039], + ["Sn3+", "Na1+", 0.5234876041], + ["Na1+", "Sn3+", 0.5234876041], + ["Sn3+", "Si1-", 0.0221416741], + ["Si1-", "Sn3+", 0.0221416741], + ["Sn3+", "P1+", 0.0178656196], + ["P1+", "Sn3+", 0.0178656196], + ["Sn3+", "P1-", 0.0365602216], + ["P1-", "Sn3+", 0.0365602216], + ["Sn3+", "S1-", 0.2348446959], + ["S1-", "Sn3+", 0.2348446959], + ["Sn3+", "S1+", 0.1123494948], + ["S1+", "Sn3+", 0.1123494948], + ["Sn3+", "Cl1-", 0.0233552757], + ["Cl1-", "Sn3+", 0.0233552757], + ["Sn3+", "K1+", 0.4511852414], + ["K1+", "Sn3+", 0.4511852414], + ["Sn3+", "Sc1+", -0.001409833], + ["Sc1+", "Sn3+", -0.001409833], + ["Sn3+", "Mn1+", 0.3764601555], + ["Mn1+", "Sn3+", 0.3764601555], + ["Sn3+", "Fe1+", 0.0332278559], + ["Fe1+", "Sn3+", 0.0332278559], + ["Sn3+", "Co1+", 0.0303658285], + ["Co1+", "Sn3+", 0.0303658285], + ["Sn3+", "Ni1+", 0.0926032074], + ["Ni1+", "Sn3+", 0.0926032074], + ["Sn3+", "Cu1+", 0.2628379543], + ["Cu1+", "Sn3+", 0.2628379543], + ["Sn3+", "Ga1+", -0.0224111868], + ["Ga1+", "Sn3+", -0.0224111868], + ["Sn3+", "As1-", 0.0506836228], + ["As1-", "Sn3+", 0.0506836228], + ["Sn3+", "As1+", 0.3234954175], + ["As1+", "Sn3+", 0.3234954175], + ["Sn3+", "Se1-", -0.0004342844], + ["Se1-", "Sn3+", -0.0004342844], + ["Sn3+", "Se1+", 0.1389918754], + ["Se1+", "Sn3+", 0.1389918754], + ["Sn3+", "Br1-", 0.1208800497], + ["Br1-", "Sn3+", 0.1208800497], + ["Sn3+", "Br1+", 0.0735103169], + ["Br1+", "Sn3+", 0.0735103169], + ["Sn3+", "Rb1+", 0.3197221145], + ["Rb1+", "Sn3+", 0.3197221145], + ["Sn3+", "Y1+", 0.1894663631], + ["Y1+", "Sn3+", 0.1894663631], + ["Sn3+", "Zr1+", -0.0403255176], + ["Zr1+", "Sn3+", -0.0403255176], + ["Sn3+", "Nb1+", 0.1500682368], + ["Nb1+", "Sn3+", 0.1500682368], + ["Sn3+", "Tc1-", -0.0468107694], + ["Tc1-", "Sn3+", -0.0468107694], + ["Sn3+", "Tc1+", 0.2308668052], + ["Tc1+", "Sn3+", 0.2308668052], + ["Sn3+", "Rh1+", 0.0511817804], + ["Rh1+", "Sn3+", 0.0511817804], + ["Sn3+", "Ag1+", 0.3570178357], + ["Ag1+", "Sn3+", 0.3570178357], + ["Sn3+", "In1+", 0.1131469029], + ["In1+", "Sn3+", 0.1131469029], + ["Sn3+", "Sb1-", 0.0217182755], + ["Sb1-", "Sn3+", 0.0217182755], + ["Sn3+", "Sb1+", 0.285909217], + ["Sb1+", "Sn3+", 0.285909217], + ["Sn3+", "Te1-", -0.0099447801], + ["Te1-", "Sn3+", -0.0099447801], + ["Sn3+", "Te1+", 0.0674851132], + ["Te1+", "Sn3+", 0.0674851132], + ["Sn3+", "I1-", 0.0977715021], + ["I1-", "Sn3+", 0.0977715021], + ["Sn3+", "I1+", 0.0825799305], + ["I1+", "Sn3+", 0.0825799305], + ["Sn3+", "Cs1+", 0.3285833837], + ["Cs1+", "Sn3+", 0.3285833837], + ["Sn3+", "La1+", -0.0953645413], + ["La1+", "Sn3+", -0.0953645413], + ["Sn3+", "Tb1+", -0.062106715], + ["Tb1+", "Sn3+", -0.062106715], + ["Sn3+", "Ta1+", 0.0678209384], + ["Ta1+", "Sn3+", 0.0678209384], + ["Sn3+", "Os1-", -0.0600676197], + ["Os1-", "Sn3+", -0.0600676197], + ["Sn3+", "Os1+", -0.0820119293], + ["Os1+", "Sn3+", -0.0820119293], + ["Sn3+", "Pt1-", -0.0388302141], + ["Pt1-", "Sn3+", -0.0388302141], + ["Sn3+", "Pt1+", 0.0902625735], + ["Pt1+", "Sn3+", 0.0902625735], + ["Sn3+", "Au1-", -0.0685025845], + ["Au1-", "Sn3+", -0.0685025845], + ["Sn3+", "Au1+", 0.0609066478], + ["Au1+", "Sn3+", 0.0609066478], + ["Sn3+", "Hg1+", 0.3051572979], + ["Hg1+", "Sn3+", 0.3051572979], + ["Sn3+", "Tl1+", 0.3851996114], + ["Tl1+", "Sn3+", 0.3851996114], + ["Sn3+", "Bi1+", 0.0953403531], + ["Bi1+", "Sn3+", 0.0953403531], + ["Sn2+", "Sn2+", 1.0], + ["Sn2+", "Sb5+", 0.4320055537], + ["Sb5+", "Sn2+", 0.4320055537], + ["Sn2+", "Sb2-", 0.0963281616], + ["Sb2-", "Sn2+", 0.0963281616], + ["Sn2+", "Sb3-", -0.0390473207], + ["Sb3-", "Sn2+", -0.0390473207], + ["Sn2+", "Sb3+", 0.4928585789], + ["Sb3+", "Sn2+", 0.4928585789], + ["Sn2+", "Sb4+", 0.1210707047], + ["Sb4+", "Sn2+", 0.1210707047], + ["Sn2+", "Te2-", 0.1904023211], + ["Te2-", "Sn2+", 0.1904023211], + ["Sn2+", "Te4+", 0.4321031134], + ["Te4+", "Sn2+", 0.4321031134], + ["Sn2+", "Te6+", 0.2981610956], + ["Te6+", "Sn2+", 0.2981610956], + ["Sn2+", "Te2+", 0.2672873969], + ["Te2+", "Sn2+", 0.2672873969], + ["Sn2+", "Te5+", 0.2752098009], + ["Te5+", "Sn2+", 0.2752098009], + ["Sn2+", "I3+", 0.1901101542], + ["I3+", "Sn2+", 0.1901101542], + ["Sn2+", "I7+", 0.2487206556], + ["I7+", "Sn2+", 0.2487206556], + ["Sn2+", "I5+", 0.1708450644], + ["I5+", "Sn2+", 0.1708450644], + ["Sn2+", "I2+", 0.2281921338], + ["I2+", "Sn2+", 0.2281921338], + ["Sn2+", "Ba2+", 0.6133574469], + ["Ba2+", "Sn2+", 0.6133574469], + ["Sn2+", "La3+", 0.4318792113], + ["La3+", "Sn2+", 0.4318792113], + ["Sn2+", "La2+", 0.202343022], + ["La2+", "Sn2+", 0.202343022], + ["Sn2+", "Ce3+", 0.442339322], + ["Ce3+", "Sn2+", 0.442339322], + ["Sn2+", "Ce2+", 0.1753633221], + ["Ce2+", "Sn2+", 0.1753633221], + ["Sn2+", "Ce4+", 0.3152579182], + ["Ce4+", "Sn2+", 0.3152579182], + ["Sn2+", "Pr3+", 0.4351955615], + ["Pr3+", "Sn2+", 0.4351955615], + ["Sn2+", "Pr4+", 0.0626216325], + ["Pr4+", "Sn2+", 0.0626216325], + ["Sn2+", "Pr2+", 0.2460213225], + ["Pr2+", "Sn2+", 0.2460213225], + ["Sn2+", "Nd3+", 0.3278230817], + ["Nd3+", "Sn2+", 0.3278230817], + ["Sn2+", "Nd2+", 0.1580159632], + ["Nd2+", "Sn2+", 0.1580159632], + ["Sn2+", "Pm3+", 0.3004743378], + ["Pm3+", "Sn2+", 0.3004743378], + ["Sn2+", "Sm3+", 0.3450751305], + ["Sm3+", "Sn2+", 0.3450751305], + ["Sn2+", "Sm2+", 0.0957390934], + ["Sm2+", "Sn2+", 0.0957390934], + ["Sn2+", "Eu2+", 0.4314303164], + ["Eu2+", "Sn2+", 0.4314303164], + ["Sn2+", "Eu3+", 0.2858603723], + ["Eu3+", "Sn2+", 0.2858603723], + ["Sn2+", "Gd2+", 0.2058368814], + ["Gd2+", "Sn2+", 0.2058368814], + ["Sn2+", "Gd3+", 0.233200541], + ["Gd3+", "Sn2+", 0.233200541], + ["Sn2+", "Tb3+", 0.3973868116], + ["Tb3+", "Sn2+", 0.3973868116], + ["Sn2+", "Tb2+", 0.1387298501], + ["Tb2+", "Sn2+", 0.1387298501], + ["Sn2+", "Tb4+", 0.1006183931], + ["Tb4+", "Sn2+", 0.1006183931], + ["Sn2+", "Dy3+", 0.266459427], + ["Dy3+", "Sn2+", 0.266459427], + ["Sn2+", "Dy2+", 0.1087616116], + ["Dy2+", "Sn2+", 0.1087616116], + ["Sn2+", "Ho3+", 0.1872835079], + ["Ho3+", "Sn2+", 0.1872835079], + ["Sn2+", "Ho2+", 0.1646791045], + ["Ho2+", "Sn2+", 0.1646791045], + ["Sn2+", "Er3+", 0.2699633269], + ["Er3+", "Sn2+", 0.2699633269], + ["Sn2+", "Tm3+", 0.3074019758], + ["Tm3+", "Sn2+", 0.3074019758], + ["Sn2+", "Tm2+", 0.1354567289], + ["Tm2+", "Sn2+", 0.1354567289], + ["Sn2+", "Yb3+", 0.2325706331], + ["Yb3+", "Sn2+", 0.2325706331], + ["Sn2+", "Yb2+", 0.1536314352], + ["Yb2+", "Sn2+", 0.1536314352], + ["Sn2+", "Lu3+", 0.0890983495], + ["Lu3+", "Sn2+", 0.0890983495], + ["Sn2+", "Hf3+", 0.159749924], + ["Hf3+", "Sn2+", 0.159749924], + ["Sn2+", "Hf2+", 0.0460223884], + ["Hf2+", "Sn2+", 0.0460223884], + ["Sn2+", "Hf4+", 0.3115055228], + ["Hf4+", "Sn2+", 0.3115055228], + ["Sn2+", "Ta5+", 0.4635027877], + ["Ta5+", "Sn2+", 0.4635027877], + ["Sn2+", "Ta3+", 0.274011256], + ["Ta3+", "Sn2+", 0.274011256], + ["Sn2+", "Ta4+", 0.3380296296], + ["Ta4+", "Sn2+", 0.3380296296], + ["Sn2+", "Ta2+", 0.1289164151], + ["Ta2+", "Sn2+", 0.1289164151], + ["Sn2+", "W6+", 0.2985181023], + ["W6+", "Sn2+", 0.2985181023], + ["Sn2+", "W4+", 0.3094065574], + ["W4+", "Sn2+", 0.3094065574], + ["Sn2+", "W2+", 0.2645092243], + ["W2+", "Sn2+", 0.2645092243], + ["Sn2+", "W3+", 0.1345181047], + ["W3+", "Sn2+", 0.1345181047], + ["Sn2+", "W5+", 0.3315961475], + ["W5+", "Sn2+", 0.3315961475], + ["Sn2+", "Re5+", 0.2023718397], + ["Re5+", "Sn2+", 0.2023718397], + ["Sn2+", "Re3+", 0.2974999193], + ["Re3+", "Sn2+", 0.2974999193], + ["Sn2+", "Re6+", 0.2640812449], + ["Re6+", "Sn2+", 0.2640812449], + ["Sn2+", "Re2+", 0.0056573987], + ["Re2+", "Sn2+", 0.0056573987], + ["Sn2+", "Re4+", 0.2892167076], + ["Re4+", "Sn2+", 0.2892167076], + ["Sn2+", "Re7+", 0.1598457114], + ["Re7+", "Sn2+", 0.1598457114], + ["Sn2+", "Os7+", 0.144201445], + ["Os7+", "Sn2+", 0.144201445], + ["Sn2+", "Os6+", 0.2072075283], + ["Os6+", "Sn2+", 0.2072075283], + ["Sn2+", "Os5+", 0.3521325576], + ["Os5+", "Sn2+", 0.3521325576], + ["Sn2+", "Os2-", -0.0263119058], + ["Os2-", "Sn2+", -0.0263119058], + ["Sn2+", "Os3+", 0.3065133982], + ["Os3+", "Sn2+", 0.3065133982], + ["Sn2+", "Os4+", 0.3227082365], + ["Os4+", "Sn2+", 0.3227082365], + ["Sn2+", "Os8+", 0.1768667352], + ["Os8+", "Sn2+", 0.1768667352], + ["Sn2+", "Os2+", 0.1247674451], + ["Os2+", "Sn2+", 0.1247674451], + ["Sn2+", "Ir3+", 0.2459471392], + ["Ir3+", "Sn2+", 0.2459471392], + ["Sn2+", "Ir4+", 0.2785319369], + ["Ir4+", "Sn2+", 0.2785319369], + ["Sn2+", "Ir5+", 0.2920074644], + ["Ir5+", "Sn2+", 0.2920074644], + ["Sn2+", "Ir6+", 0.365353672], + ["Ir6+", "Sn2+", 0.365353672], + ["Sn2+", "Pt2+", 0.326461361], + ["Pt2+", "Sn2+", 0.326461361], + ["Sn2+", "Pt2-", 0.0846490197], + ["Pt2-", "Sn2+", 0.0846490197], + ["Sn2+", "Pt4+", 0.4134150938], + ["Pt4+", "Sn2+", 0.4134150938], + ["Sn2+", "Pt3+", 0.0762751341], + ["Pt3+", "Sn2+", 0.0762751341], + ["Sn2+", "Pt5+", 0.3020629036], + ["Pt5+", "Sn2+", 0.3020629036], + ["Sn2+", "Pt6+", 0.2809502626], + ["Pt6+", "Sn2+", 0.2809502626], + ["Sn2+", "Au2+", 0.1957049761], + ["Au2+", "Sn2+", 0.1957049761], + ["Sn2+", "Au3+", 0.4403530086], + ["Au3+", "Sn2+", 0.4403530086], + ["Sn2+", "Au5+", 0.3229134757], + ["Au5+", "Sn2+", 0.3229134757], + ["Sn2+", "Au4+", 0.3885309777], + ["Au4+", "Sn2+", 0.3885309777], + ["Sn2+", "Hg2+", 0.522420352], + ["Hg2+", "Sn2+", 0.522420352], + ["Sn2+", "Tl3+", 0.3415908453], + ["Tl3+", "Sn2+", 0.3415908453], + ["Sn2+", "Tl2+", 0.2547207268], + ["Tl2+", "Sn2+", 0.2547207268], + ["Sn2+", "Pb2+", 0.4863997479], + ["Pb2+", "Sn2+", 0.4863997479], + ["Sn2+", "Pb3+", 0.1961323903], + ["Pb3+", "Sn2+", 0.1961323903], + ["Sn2+", "Pb4+", 0.2807897449], + ["Pb4+", "Sn2+", 0.2807897449], + ["Sn2+", "Bi3+", 0.5152602566], + ["Bi3+", "Sn2+", 0.5152602566], + ["Sn2+", "Bi5+", 0.1703308114], + ["Bi5+", "Sn2+", 0.1703308114], + ["Sn2+", "Bi2+", 0.3123558972], + ["Bi2+", "Sn2+", 0.3123558972], + ["Sn2+", "Bi3-", 0.1513975577], + ["Bi3-", "Sn2+", 0.1513975577], + ["Sn2+", "Bi4+", 0.2199214396], + ["Bi4+", "Sn2+", 0.2199214396], + ["Sn2+", "Ac3+", 0.1886667256], + ["Ac3+", "Sn2+", 0.1886667256], + ["Sn2+", "Th4+", 0.4038501568], + ["Th4+", "Sn2+", 0.4038501568], + ["Sn2+", "Th3+", 0.229587674], + ["Th3+", "Sn2+", 0.229587674], + ["Sn2+", "Pa4+", 0.2152516287], + ["Pa4+", "Sn2+", 0.2152516287], + ["Sn2+", "Pa5+", 0.3543833927], + ["Pa5+", "Sn2+", 0.3543833927], + ["Sn2+", "Pa3+", 0.1768446875], + ["Pa3+", "Sn2+", 0.1768446875], + ["Sn2+", "U6+", 0.1736400619], + ["U6+", "Sn2+", 0.1736400619], + ["Sn2+", "U4+", 0.2254186369], + ["U4+", "Sn2+", 0.2254186369], + ["Sn2+", "U3+", 0.2329849782], + ["U3+", "Sn2+", 0.2329849782], + ["Sn2+", "U2+", 0.2351127864], + ["U2+", "Sn2+", 0.2351127864], + ["Sn2+", "U5+", 0.1474849664], + ["U5+", "Sn2+", 0.1474849664], + ["Sn2+", "Np6+", 0.2271237536], + ["Np6+", "Sn2+", 0.2271237536], + ["Sn2+", "Np4+", 0.1803569595], + ["Np4+", "Sn2+", 0.1803569595], + ["Sn2+", "Np3+", 0.277307663], + ["Np3+", "Sn2+", 0.277307663], + ["Sn2+", "Np7+", 0.2226358947], + ["Np7+", "Sn2+", 0.2226358947], + ["Sn2+", "Np5+", 0.4442669981], + ["Np5+", "Sn2+", 0.4442669981], + ["Sn2+", "Pu7+", 0.1259605092], + ["Pu7+", "Sn2+", 0.1259605092], + ["Sn2+", "Pu6+", 0.0946906756], + ["Pu6+", "Sn2+", 0.0946906756], + ["Sn2+", "Pu3+", 0.2102478285], + ["Pu3+", "Sn2+", 0.2102478285], + ["Sn2+", "Pu4+", 0.1647026823], + ["Pu4+", "Sn2+", 0.1647026823], + ["Sn2+", "Pu5+", 0.2163066175], + ["Pu5+", "Sn2+", 0.2163066175], + ["Sn2+", "H1+", -0.0113698485], + ["H1+", "Sn2+", -0.0113698485], + ["Sn2+", "H1-", -0.1114555518], + ["H1-", "Sn2+", -0.1114555518], + ["Sn2+", "Li1+", 0.3943480729], + ["Li1+", "Sn2+", 0.3943480729], + ["Sn2+", "B1+", 0.0297416643], + ["B1+", "Sn2+", 0.0297416643], + ["Sn2+", "B1-", -0.1709000901], + ["B1-", "Sn2+", -0.1709000901], + ["Sn2+", "C1-", 0.1038827218], + ["C1-", "Sn2+", 0.1038827218], + ["Sn2+", "C1+", 0.3042953276], + ["C1+", "Sn2+", 0.3042953276], + ["Sn2+", "N1-", 0.0923145275], + ["N1-", "Sn2+", 0.0923145275], + ["Sn2+", "N1+", 0.1995574131], + ["N1+", "Sn2+", 0.1995574131], + ["Sn2+", "O1-", 0.043934259], + ["O1-", "Sn2+", 0.043934259], + ["Sn2+", "F1-", 0.1848328518], + ["F1-", "Sn2+", 0.1848328518], + ["Sn2+", "Na1+", 0.4159642863], + ["Na1+", "Sn2+", 0.4159642863], + ["Sn2+", "Si1-", -0.0394028125], + ["Si1-", "Sn2+", -0.0394028125], + ["Sn2+", "P1+", 0.1217401831], + ["P1+", "Sn2+", 0.1217401831], + ["Sn2+", "P1-", 0.1004575688], + ["P1-", "Sn2+", 0.1004575688], + ["Sn2+", "S1-", 0.2617132708], + ["S1-", "Sn2+", 0.2617132708], + ["Sn2+", "S1+", 0.2153525477], + ["S1+", "Sn2+", 0.2153525477], + ["Sn2+", "Cl1-", 0.1025507894], + ["Cl1-", "Sn2+", 0.1025507894], + ["Sn2+", "K1+", 0.5016349495], + ["K1+", "Sn2+", 0.5016349495], + ["Sn2+", "Sc1+", 0.1475312241], + ["Sc1+", "Sn2+", 0.1475312241], + ["Sn2+", "Mn1+", 0.2362290714], + ["Mn1+", "Sn2+", 0.2362290714], + ["Sn2+", "Fe1+", -0.0249178702], + ["Fe1+", "Sn2+", -0.0249178702], + ["Sn2+", "Co1+", 0.042277731], + ["Co1+", "Sn2+", 0.042277731], + ["Sn2+", "Ni1+", 0.1686860161], + ["Ni1+", "Sn2+", 0.1686860161], + ["Sn2+", "Cu1+", 0.2891458333], + ["Cu1+", "Sn2+", 0.2891458333], + ["Sn2+", "Ga1+", 0.2496588943], + ["Ga1+", "Sn2+", 0.2496588943], + ["Sn2+", "As1-", 0.1676754632], + ["As1-", "Sn2+", 0.1676754632], + ["Sn2+", "As1+", 0.2638038417], + ["As1+", "Sn2+", 0.2638038417], + ["Sn2+", "Se1-", 0.1662684051], + ["Se1-", "Sn2+", 0.1662684051], + ["Sn2+", "Se1+", 0.1588921045], + ["Se1+", "Sn2+", 0.1588921045], + ["Sn2+", "Br1-", 0.1383934552], + ["Br1-", "Sn2+", 0.1383934552], + ["Sn2+", "Br1+", 0.0645307272], + ["Br1+", "Sn2+", 0.0645307272], + ["Sn2+", "Rb1+", 0.5150363644], + ["Rb1+", "Sn2+", 0.5150363644], + ["Sn2+", "Y1+", 0.0541781706], + ["Y1+", "Sn2+", 0.0541781706], + ["Sn2+", "Zr1+", 0.0928639457], + ["Zr1+", "Sn2+", 0.0928639457], + ["Sn2+", "Nb1+", 0.2949750789], + ["Nb1+", "Sn2+", 0.2949750789], + ["Sn2+", "Tc1-", 0.0100157541], + ["Tc1-", "Sn2+", 0.0100157541], + ["Sn2+", "Tc1+", 0.3964732095], + ["Tc1+", "Sn2+", 0.3964732095], + ["Sn2+", "Rh1+", 0.1191948209], + ["Rh1+", "Sn2+", 0.1191948209], + ["Sn2+", "Ag1+", 0.4754472876], + ["Ag1+", "Sn2+", 0.4754472876], + ["Sn2+", "In1+", 0.3859940068], + ["In1+", "Sn2+", 0.3859940068], + ["Sn2+", "Sb1-", 0.3079551466], + ["Sb1-", "Sn2+", 0.3079551466], + ["Sn2+", "Sb1+", 0.2915325405], + ["Sb1+", "Sn2+", 0.2915325405], + ["Sn2+", "Te1-", 0.3022534734], + ["Te1-", "Sn2+", 0.3022534734], + ["Sn2+", "Te1+", 0.337659681], + ["Te1+", "Sn2+", 0.337659681], + ["Sn2+", "I1-", 0.1545852479], + ["I1-", "Sn2+", 0.1545852479], + ["Sn2+", "I1+", 0.2021398987], + ["I1+", "Sn2+", 0.2021398987], + ["Sn2+", "Cs1+", 0.5520547732], + ["Cs1+", "Sn2+", 0.5520547732], + ["Sn2+", "La1+", -0.1340463025], + ["La1+", "Sn2+", -0.1340463025], + ["Sn2+", "Tb1+", 0.0858876702], + ["Tb1+", "Sn2+", 0.0858876702], + ["Sn2+", "Ta1+", 0.2479730718], + ["Ta1+", "Sn2+", 0.2479730718], + ["Sn2+", "Os1-", 0.071455151], + ["Os1-", "Sn2+", 0.071455151], + ["Sn2+", "Os1+", 0.1993026759], + ["Os1+", "Sn2+", 0.1993026759], + ["Sn2+", "Pt1-", 0.1757275806], + ["Pt1-", "Sn2+", 0.1757275806], + ["Sn2+", "Pt1+", 0.134415339], + ["Pt1+", "Sn2+", 0.134415339], + ["Sn2+", "Au1-", -0.0535773453], + ["Au1-", "Sn2+", -0.0535773453], + ["Sn2+", "Au1+", 0.2711736745], + ["Au1+", "Sn2+", 0.2711736745], + ["Sn2+", "Hg1+", 0.4369056755], + ["Hg1+", "Sn2+", 0.4369056755], + ["Sn2+", "Tl1+", 0.6075750795], + ["Tl1+", "Sn2+", 0.6075750795], + ["Sn2+", "Bi1+", 0.1450723536], + ["Bi1+", "Sn2+", 0.1450723536], + ["Sb5+", "Sb5+", 1.0], + ["Sb5+", "Sb2-", -0.0786054641], + ["Sb2-", "Sb5+", -0.0786054641], + ["Sb5+", "Sb3-", -0.1774034015], + ["Sb3-", "Sb5+", -0.1774034015], + ["Sb5+", "Sb3+", 0.4928647997], + ["Sb3+", "Sb5+", 0.4928647997], + ["Sb5+", "Sb4+", 0.4416654841], + ["Sb4+", "Sb5+", 0.4416654841], + ["Sb5+", "Te2-", 0.2676689658], + ["Te2-", "Sb5+", 0.2676689658], + ["Sb5+", "Te4+", 0.5807709954], + ["Te4+", "Sb5+", 0.5807709954], + ["Sb5+", "Te6+", 0.5279092721], + ["Te6+", "Sb5+", 0.5279092721], + ["Sb5+", "Te2+", 0.1140605775], + ["Te2+", "Sb5+", 0.1140605775], + ["Sb5+", "Te5+", 0.1602314283], + ["Te5+", "Sb5+", 0.1602314283], + ["Sb5+", "I3+", 0.4888081952], + ["I3+", "Sb5+", 0.4888081952], + ["Sb5+", "I7+", 0.3756065458], + ["I7+", "Sb5+", 0.3756065458], + ["Sb5+", "I5+", 0.5588489469], + ["I5+", "Sb5+", 0.5588489469], + ["Sb5+", "I2+", 0.2902628578], + ["I2+", "Sb5+", 0.2902628578], + ["Sb5+", "Ba2+", 0.483698246], + ["Ba2+", "Sb5+", 0.483698246], + ["Sb5+", "La3+", 0.2157622543], + ["La3+", "Sb5+", 0.2157622543], + ["Sb5+", "La2+", -0.0497214607], + ["La2+", "Sb5+", -0.0497214607], + ["Sb5+", "Ce3+", 0.1336802922], + ["Ce3+", "Sb5+", 0.1336802922], + ["Sb5+", "Ce2+", -0.1897667617], + ["Ce2+", "Sb5+", -0.1897667617], + ["Sb5+", "Ce4+", 0.1302107111], + ["Ce4+", "Sb5+", 0.1302107111], + ["Sb5+", "Pr3+", 0.1859603499], + ["Pr3+", "Sb5+", 0.1859603499], + ["Sb5+", "Pr4+", 0.1703097219], + ["Pr4+", "Sb5+", 0.1703097219], + ["Sb5+", "Pr2+", 0.0669852195], + ["Pr2+", "Sb5+", 0.0669852195], + ["Sb5+", "Nd3+", 0.2618028877], + ["Nd3+", "Sb5+", 0.2618028877], + ["Sb5+", "Nd2+", 0.1050764617], + ["Nd2+", "Sb5+", 0.1050764617], + ["Sb5+", "Pm3+", 0.0945210678], + ["Pm3+", "Sb5+", 0.0945210678], + ["Sb5+", "Sm3+", 0.2028096152], + ["Sm3+", "Sb5+", 0.2028096152], + ["Sb5+", "Sm2+", -0.0136974359], + ["Sm2+", "Sb5+", -0.0136974359], + ["Sb5+", "Eu2+", 0.1397356294], + ["Eu2+", "Sb5+", 0.1397356294], + ["Sb5+", "Eu3+", 0.3947521686], + ["Eu3+", "Sb5+", 0.3947521686], + ["Sb5+", "Gd2+", 0.110777941], + ["Gd2+", "Sb5+", 0.110777941], + ["Sb5+", "Gd3+", 0.3248527957], + ["Gd3+", "Sb5+", 0.3248527957], + ["Sb5+", "Tb3+", 0.1920822563], + ["Tb3+", "Sb5+", 0.1920822563], + ["Sb5+", "Tb2+", -0.0644743703], + ["Tb2+", "Sb5+", -0.0644743703], + ["Sb5+", "Tb4+", 0.1638606944], + ["Tb4+", "Sb5+", 0.1638606944], + ["Sb5+", "Dy3+", 0.1107702188], + ["Dy3+", "Sb5+", 0.1107702188], + ["Sb5+", "Dy2+", -0.0012605378], + ["Dy2+", "Sb5+", -0.0012605378], + ["Sb5+", "Ho3+", 0.2203038026], + ["Ho3+", "Sb5+", 0.2203038026], + ["Sb5+", "Ho2+", 0.1043741077], + ["Ho2+", "Sb5+", 0.1043741077], + ["Sb5+", "Er3+", 0.2697835057], + ["Er3+", "Sb5+", 0.2697835057], + ["Sb5+", "Tm3+", 0.2337166443], + ["Tm3+", "Sb5+", 0.2337166443], + ["Sb5+", "Tm2+", -0.0179326248], + ["Tm2+", "Sb5+", -0.0179326248], + ["Sb5+", "Yb3+", 0.2877440639], + ["Yb3+", "Sb5+", 0.2877440639], + ["Sb5+", "Yb2+", -0.0264828146], + ["Yb2+", "Sb5+", -0.0264828146], + ["Sb5+", "Lu3+", 0.2432196272], + ["Lu3+", "Sb5+", 0.2432196272], + ["Sb5+", "Hf3+", 0.004626071], + ["Hf3+", "Sb5+", 0.004626071], + ["Sb5+", "Hf2+", 0.187945739], + ["Hf2+", "Sb5+", 0.187945739], + ["Sb5+", "Hf4+", 0.3066893354], + ["Hf4+", "Sb5+", 0.3066893354], + ["Sb5+", "Ta5+", 0.462644505], + ["Ta5+", "Sb5+", 0.462644505], + ["Sb5+", "Ta3+", 0.2346593124], + ["Ta3+", "Sb5+", 0.2346593124], + ["Sb5+", "Ta4+", 0.1734065192], + ["Ta4+", "Sb5+", 0.1734065192], + ["Sb5+", "Ta2+", -0.0771810215], + ["Ta2+", "Sb5+", -0.0771810215], + ["Sb5+", "W6+", 0.6204027129], + ["W6+", "Sb5+", 0.6204027129], + ["Sb5+", "W4+", 0.3539341193], + ["W4+", "Sb5+", 0.3539341193], + ["Sb5+", "W2+", 0.192094623], + ["W2+", "Sb5+", 0.192094623], + ["Sb5+", "W3+", 0.3519595991], + ["W3+", "Sb5+", 0.3519595991], + ["Sb5+", "W5+", 0.5886930961], + ["W5+", "Sb5+", 0.5886930961], + ["Sb5+", "Re5+", 0.318590497], + ["Re5+", "Sb5+", 0.318590497], + ["Sb5+", "Re3+", 0.0921249252], + ["Re3+", "Sb5+", 0.0921249252], + ["Sb5+", "Re6+", 0.491092881], + ["Re6+", "Sb5+", 0.491092881], + ["Sb5+", "Re2+", 0.3042106641], + ["Re2+", "Sb5+", 0.3042106641], + ["Sb5+", "Re4+", 0.3049966559], + ["Re4+", "Sb5+", 0.3049966559], + ["Sb5+", "Re7+", 0.5407490499], + ["Re7+", "Sb5+", 0.5407490499], + ["Sb5+", "Os7+", 0.4235095583], + ["Os7+", "Sb5+", 0.4235095583], + ["Sb5+", "Os6+", 0.5616380903], + ["Os6+", "Sb5+", 0.5616380903], + ["Sb5+", "Os5+", 0.2638040708], + ["Os5+", "Sb5+", 0.2638040708], + ["Sb5+", "Os2-", -0.1784007777], + ["Os2-", "Sb5+", -0.1784007777], + ["Sb5+", "Os3+", 0.1884352734], + ["Os3+", "Sb5+", 0.1884352734], + ["Sb5+", "Os4+", 0.261151037], + ["Os4+", "Sb5+", 0.261151037], + ["Sb5+", "Os8+", 0.3625533445], + ["Os8+", "Sb5+", 0.3625533445], + ["Sb5+", "Os2+", 0.2539247289], + ["Os2+", "Sb5+", 0.2539247289], + ["Sb5+", "Ir3+", 0.2928642979], + ["Ir3+", "Sb5+", 0.2928642979], + ["Sb5+", "Ir4+", 0.3088346412], + ["Ir4+", "Sb5+", 0.3088346412], + ["Sb5+", "Ir5+", 0.2786672977], + ["Ir5+", "Sb5+", 0.2786672977], + ["Sb5+", "Ir6+", 0.4812868069], + ["Ir6+", "Sb5+", 0.4812868069], + ["Sb5+", "Pt2+", 0.16699042], + ["Pt2+", "Sb5+", 0.16699042], + ["Sb5+", "Pt2-", -0.2842476982], + ["Pt2-", "Sb5+", -0.2842476982], + ["Sb5+", "Pt4+", 0.4499446359], + ["Pt4+", "Sb5+", 0.4499446359], + ["Sb5+", "Pt3+", 0.1097584911], + ["Pt3+", "Sb5+", 0.1097584911], + ["Sb5+", "Pt5+", 0.1397656527], + ["Pt5+", "Sb5+", 0.1397656527], + ["Sb5+", "Pt6+", 0.4903613569], + ["Pt6+", "Sb5+", 0.4903613569], + ["Sb5+", "Au2+", 0.1725868446], + ["Au2+", "Sb5+", 0.1725868446], + ["Sb5+", "Au3+", 0.4265130221], + ["Au3+", "Sb5+", 0.4265130221], + ["Sb5+", "Au5+", 0.3437728546], + ["Au5+", "Sb5+", 0.3437728546], + ["Sb5+", "Au4+", 0.2880038292], + ["Au4+", "Sb5+", 0.2880038292], + ["Sb5+", "Hg2+", 0.2837191079], + ["Hg2+", "Sb5+", 0.2837191079], + ["Sb5+", "Tl3+", 0.3756044521], + ["Tl3+", "Sb5+", 0.3756044521], + ["Sb5+", "Tl2+", 0.3936070811], + ["Tl2+", "Sb5+", 0.3936070811], + ["Sb5+", "Pb2+", 0.5392610329], + ["Pb2+", "Sb5+", 0.5392610329], + ["Sb5+", "Pb3+", 0.4107517723], + ["Pb3+", "Sb5+", 0.4107517723], + ["Sb5+", "Pb4+", 0.4321006176], + ["Pb4+", "Sb5+", 0.4321006176], + ["Sb5+", "Bi3+", 0.4864810273], + ["Bi3+", "Sb5+", 0.4864810273], + ["Sb5+", "Bi5+", 0.486926], + ["Bi5+", "Sb5+", 0.486926], + ["Sb5+", "Bi2+", 0.2912536156], + ["Bi2+", "Sb5+", 0.2912536156], + ["Sb5+", "Bi3-", -0.0114995189], + ["Bi3-", "Sb5+", -0.0114995189], + ["Sb5+", "Bi4+", 0.3967243582], + ["Bi4+", "Sb5+", 0.3967243582], + ["Sb5+", "Ac3+", 0.2746583924], + ["Ac3+", "Sb5+", 0.2746583924], + ["Sb5+", "Th4+", 0.1756498726], + ["Th4+", "Sb5+", 0.1756498726], + ["Sb5+", "Th3+", 0.1438650039], + ["Th3+", "Sb5+", 0.1438650039], + ["Sb5+", "Pa4+", 0.1919501836], + ["Pa4+", "Sb5+", 0.1919501836], + ["Sb5+", "Pa5+", 0.4943029614], + ["Pa5+", "Sb5+", 0.4943029614], + ["Sb5+", "Pa3+", -0.0068916461], + ["Pa3+", "Sb5+", -0.0068916461], + ["Sb5+", "U6+", 0.3033856536], + ["U6+", "Sb5+", 0.3033856536], + ["Sb5+", "U4+", 0.1625359534], + ["U4+", "Sb5+", 0.1625359534], + ["Sb5+", "U3+", -0.0401548033], + ["U3+", "Sb5+", -0.0401548033], + ["Sb5+", "U2+", -0.0254988099], + ["U2+", "Sb5+", -0.0254988099], + ["Sb5+", "U5+", 0.3636915], + ["U5+", "Sb5+", 0.3636915], + ["Sb5+", "Np6+", 0.2218845669], + ["Np6+", "Sb5+", 0.2218845669], + ["Sb5+", "Np4+", 0.3701740374], + ["Np4+", "Sb5+", 0.3701740374], + ["Sb5+", "Np3+", 0.0163686544], + ["Np3+", "Sb5+", 0.0163686544], + ["Sb5+", "Np7+", 0.3674223905], + ["Np7+", "Sb5+", 0.3674223905], + ["Sb5+", "Np5+", 0.3689716409], + ["Np5+", "Sb5+", 0.3689716409], + ["Sb5+", "Pu7+", 0.3729447319], + ["Pu7+", "Sb5+", 0.3729447319], + ["Sb5+", "Pu6+", 0.227100682], + ["Pu6+", "Sb5+", 0.227100682], + ["Sb5+", "Pu3+", 0.2600603062], + ["Pu3+", "Sb5+", 0.2600603062], + ["Sb5+", "Pu4+", 0.3628266006], + ["Pu4+", "Sb5+", 0.3628266006], + ["Sb5+", "Pu5+", 0.2359768358], + ["Pu5+", "Sb5+", 0.2359768358], + ["Sb5+", "H1+", 0.5189083248], + ["H1+", "Sb5+", 0.5189083248], + ["Sb5+", "H1-", 0.114899402], + ["H1-", "Sb5+", 0.114899402], + ["Sb5+", "Li1+", 0.5822158667], + ["Li1+", "Sb5+", 0.5822158667], + ["Sb5+", "B1+", 0.2949474215], + ["B1+", "Sb5+", 0.2949474215], + ["Sb5+", "B1-", -0.0117439073], + ["B1-", "Sb5+", -0.0117439073], + ["Sb5+", "C1-", 0.2460373538], + ["C1-", "Sb5+", 0.2460373538], + ["Sb5+", "C1+", 0.5414594237], + ["C1+", "Sb5+", 0.5414594237], + ["Sb5+", "N1-", 0.3039802333], + ["N1-", "Sb5+", 0.3039802333], + ["Sb5+", "N1+", 0.4474912481], + ["N1+", "Sb5+", 0.4474912481], + ["Sb5+", "O1-", 0.1587574521], + ["O1-", "Sb5+", 0.1587574521], + ["Sb5+", "F1-", 0.1461172233], + ["F1-", "Sb5+", 0.1461172233], + ["Sb5+", "Na1+", 0.5199291351], + ["Na1+", "Sb5+", 0.5199291351], + ["Sb5+", "Si1-", -0.0159112889], + ["Si1-", "Sb5+", -0.0159112889], + ["Sb5+", "P1+", -0.03009841], + ["P1+", "Sb5+", -0.03009841], + ["Sb5+", "P1-", -0.0319085091], + ["P1-", "Sb5+", -0.0319085091], + ["Sb5+", "S1-", 0.207695466], + ["S1-", "Sb5+", 0.207695466], + ["Sb5+", "S1+", 0.3342155164], + ["S1+", "Sb5+", 0.3342155164], + ["Sb5+", "Cl1-", 0.2058960125], + ["Cl1-", "Sb5+", 0.2058960125], + ["Sb5+", "K1+", 0.5458447747], + ["K1+", "Sb5+", 0.5458447747], + ["Sb5+", "Sc1+", 0.1171929084], + ["Sc1+", "Sb5+", 0.1171929084], + ["Sb5+", "Mn1+", 0.0917482558], + ["Mn1+", "Sb5+", 0.0917482558], + ["Sb5+", "Fe1+", -0.1402947662], + ["Fe1+", "Sb5+", -0.1402947662], + ["Sb5+", "Co1+", -0.1011772342], + ["Co1+", "Sb5+", -0.1011772342], + ["Sb5+", "Ni1+", -0.0767769225], + ["Ni1+", "Sb5+", -0.0767769225], + ["Sb5+", "Cu1+", 0.0155904938], + ["Cu1+", "Sb5+", 0.0155904938], + ["Sb5+", "Ga1+", 0.0909168421], + ["Ga1+", "Sb5+", 0.0909168421], + ["Sb5+", "As1-", -0.0903179615], + ["As1-", "Sb5+", -0.0903179615], + ["Sb5+", "As1+", 0.1235900824], + ["As1+", "Sb5+", 0.1235900824], + ["Sb5+", "Se1-", 0.0892507176], + ["Se1-", "Sb5+", 0.0892507176], + ["Sb5+", "Se1+", 0.3620336205], + ["Se1+", "Sb5+", 0.3620336205], + ["Sb5+", "Br1-", 0.1563276748], + ["Br1-", "Sb5+", 0.1563276748], + ["Sb5+", "Br1+", 0.4373531826], + ["Br1+", "Sb5+", 0.4373531826], + ["Sb5+", "Rb1+", 0.5485282086], + ["Rb1+", "Sb5+", 0.5485282086], + ["Sb5+", "Y1+", 0.0688492077], + ["Y1+", "Sb5+", 0.0688492077], + ["Sb5+", "Zr1+", -0.1430199138], + ["Zr1+", "Sb5+", -0.1430199138], + ["Sb5+", "Nb1+", 0.0449450815], + ["Nb1+", "Sb5+", 0.0449450815], + ["Sb5+", "Tc1-", -0.0170520364], + ["Tc1-", "Sb5+", -0.0170520364], + ["Sb5+", "Tc1+", 0.1528045116], + ["Tc1+", "Sb5+", 0.1528045116], + ["Sb5+", "Rh1+", -0.1217505548], + ["Rh1+", "Sb5+", -0.1217505548], + ["Sb5+", "Ag1+", 0.2330924782], + ["Ag1+", "Sb5+", 0.2330924782], + ["Sb5+", "In1+", 0.1516421484], + ["In1+", "Sb5+", 0.1516421484], + ["Sb5+", "Sb1-", -0.0486897169], + ["Sb1-", "Sb5+", -0.0486897169], + ["Sb5+", "Sb1+", 0.271337684], + ["Sb1+", "Sb5+", 0.271337684], + ["Sb5+", "Te1-", 0.2458043457], + ["Te1-", "Sb5+", 0.2458043457], + ["Sb5+", "Te1+", 0.282894161], + ["Te1+", "Sb5+", 0.282894161], + ["Sb5+", "I1-", 0.0097107595], + ["I1-", "Sb5+", 0.0097107595], + ["Sb5+", "I1+", 0.5337314637], + ["I1+", "Sb5+", 0.5337314637], + ["Sb5+", "Cs1+", 0.5318982328], + ["Cs1+", "Sb5+", 0.5318982328], + ["Sb5+", "La1+", -0.0551625735], + ["La1+", "Sb5+", -0.0551625735], + ["Sb5+", "Tb1+", -0.0720871056], + ["Tb1+", "Sb5+", -0.0720871056], + ["Sb5+", "Ta1+", -0.1472450137], + ["Ta1+", "Sb5+", -0.1472450137], + ["Sb5+", "Os1-", -0.0862791454], + ["Os1-", "Sb5+", -0.0862791454], + ["Sb5+", "Os1+", 0.3486880725], + ["Os1+", "Sb5+", 0.3486880725], + ["Sb5+", "Pt1-", -0.3230610137], + ["Pt1-", "Sb5+", -0.3230610137], + ["Sb5+", "Pt1+", 0.1913220904], + ["Pt1+", "Sb5+", 0.1913220904], + ["Sb5+", "Au1-", -0.0073754144], + ["Au1-", "Sb5+", -0.0073754144], + ["Sb5+", "Au1+", 0.2365428988], + ["Au1+", "Sb5+", 0.2365428988], + ["Sb5+", "Hg1+", 0.4656508939], + ["Hg1+", "Sb5+", 0.4656508939], + ["Sb5+", "Tl1+", 0.504835697], + ["Tl1+", "Sb5+", 0.504835697], + ["Sb5+", "Bi1+", 0.0584458809], + ["Bi1+", "Sb5+", 0.0584458809], + ["Sb2-", "Sb2-", 1.0], + ["Sb2-", "Sb3-", 0.6744482021], + ["Sb3-", "Sb2-", 0.6744482021], + ["Sb2-", "Sb3+", -0.2529392009], + ["Sb3+", "Sb2-", -0.2529392009], + ["Sb2-", "Sb4+", 0.0398435355], + ["Sb4+", "Sb2-", 0.0398435355], + ["Sb2-", "Te2-", 0.2017688931], + ["Te2-", "Sb2-", 0.2017688931], + ["Sb2-", "Te4+", -0.0900596872], + ["Te4+", "Sb2-", -0.0900596872], + ["Sb2-", "Te6+", 0.0457529549], + ["Te6+", "Sb2-", 0.0457529549], + ["Sb2-", "Te2+", -0.0532800698], + ["Te2+", "Sb2-", -0.0532800698], + ["Sb2-", "Te5+", 0.0106240892], + ["Te5+", "Sb2-", 0.0106240892], + ["Sb2-", "I3+", -0.0594923968], + ["I3+", "Sb2-", -0.0594923968], + ["Sb2-", "I7+", 0.1542976612], + ["I7+", "Sb2-", 0.1542976612], + ["Sb2-", "I5+", 0.0048361548], + ["I5+", "Sb2-", 0.0048361548], + ["Sb2-", "I2+", 0.1481976803], + ["I2+", "Sb2-", 0.1481976803], + ["Sb2-", "Ba2+", 0.0092231497], + ["Ba2+", "Sb2-", 0.0092231497], + ["Sb2-", "La3+", -0.0280730048], + ["La3+", "Sb2-", -0.0280730048], + ["Sb2-", "La2+", -0.0189355664], + ["La2+", "Sb2-", -0.0189355664], + ["Sb2-", "Ce3+", 0.0231564952], + ["Ce3+", "Sb2-", 0.0231564952], + ["Sb2-", "Ce2+", -0.0231043716], + ["Ce2+", "Sb2-", -0.0231043716], + ["Sb2-", "Ce4+", 0.1047651039], + ["Ce4+", "Sb2-", 0.1047651039], + ["Sb2-", "Pr3+", -0.028194773], + ["Pr3+", "Sb2-", -0.028194773], + ["Sb2-", "Pr4+", -0.1948423358], + ["Pr4+", "Sb2-", -0.1948423358], + ["Sb2-", "Pr2+", -0.1584732101], + ["Pr2+", "Sb2-", -0.1584732101], + ["Sb2-", "Nd3+", -0.0343990352], + ["Nd3+", "Sb2-", -0.0343990352], + ["Sb2-", "Nd2+", -0.0720753946], + ["Nd2+", "Sb2-", -0.0720753946], + ["Sb2-", "Pm3+", -0.0957105775], + ["Pm3+", "Sb2-", -0.0957105775], + ["Sb2-", "Sm3+", -0.0749460742], + ["Sm3+", "Sb2-", -0.0749460742], + ["Sb2-", "Sm2+", 0.0259600293], + ["Sm2+", "Sb2-", 0.0259600293], + ["Sb2-", "Eu2+", 0.0230048927], + ["Eu2+", "Sb2-", 0.0230048927], + ["Sb2-", "Eu3+", 0.0541974069], + ["Eu3+", "Sb2-", 0.0541974069], + ["Sb2-", "Gd2+", -0.1405540356], + ["Gd2+", "Sb2-", -0.1405540356], + ["Sb2-", "Gd3+", -0.2389453114], + ["Gd3+", "Sb2-", -0.2389453114], + ["Sb2-", "Tb3+", -0.1189406039], + ["Tb3+", "Sb2-", -0.1189406039], + ["Sb2-", "Tb2+", 0.0091968899], + ["Tb2+", "Sb2-", 0.0091968899], + ["Sb2-", "Tb4+", -0.1032303872], + ["Tb4+", "Sb2-", -0.1032303872], + ["Sb2-", "Dy3+", -0.1288053112], + ["Dy3+", "Sb2-", -0.1288053112], + ["Sb2-", "Dy2+", -0.1169123784], + ["Dy2+", "Sb2-", -0.1169123784], + ["Sb2-", "Ho3+", -0.2699690967], + ["Ho3+", "Sb2-", -0.2699690967], + ["Sb2-", "Ho2+", -0.1178797216], + ["Ho2+", "Sb2-", -0.1178797216], + ["Sb2-", "Er3+", -0.2471576724], + ["Er3+", "Sb2-", -0.2471576724], + ["Sb2-", "Tm3+", -0.127509218], + ["Tm3+", "Sb2-", -0.127509218], + ["Sb2-", "Tm2+", -0.1683602473], + ["Tm2+", "Sb2-", -0.1683602473], + ["Sb2-", "Yb3+", 0.0303609522], + ["Yb3+", "Sb2-", 0.0303609522], + ["Sb2-", "Yb2+", -0.070988579], + ["Yb2+", "Sb2-", -0.070988579], + ["Sb2-", "Lu3+", -0.2517011856], + ["Lu3+", "Sb2-", -0.2517011856], + ["Sb2-", "Hf3+", -0.0833147612], + ["Hf3+", "Sb2-", -0.0833147612], + ["Sb2-", "Hf2+", -0.0589466199], + ["Hf2+", "Sb2-", -0.0589466199], + ["Sb2-", "Hf4+", 0.1199431605], + ["Hf4+", "Sb2-", 0.1199431605], + ["Sb2-", "Ta5+", -0.1759711568], + ["Ta5+", "Sb2-", -0.1759711568], + ["Sb2-", "Ta3+", -0.1351417808], + ["Ta3+", "Sb2-", -0.1351417808], + ["Sb2-", "Ta4+", -0.1959987199], + ["Ta4+", "Sb2-", -0.1959987199], + ["Sb2-", "Ta2+", -0.3303656988], + ["Ta2+", "Sb2-", -0.3303656988], + ["Sb2-", "W6+", -0.061115135], + ["W6+", "Sb2-", -0.061115135], + ["Sb2-", "W4+", -0.2914599839], + ["W4+", "Sb2-", -0.2914599839], + ["Sb2-", "W2+", -0.3471172147], + ["W2+", "Sb2-", -0.3471172147], + ["Sb2-", "W3+", -0.3002930659], + ["W3+", "Sb2-", -0.3002930659], + ["Sb2-", "W5+", -0.1215272596], + ["W5+", "Sb2-", -0.1215272596], + ["Sb2-", "Re5+", -0.1991765856], + ["Re5+", "Sb2-", -0.1991765856], + ["Sb2-", "Re3+", -0.3517118624], + ["Re3+", "Sb2-", -0.3517118624], + ["Sb2-", "Re6+", -0.0332122936], + ["Re6+", "Sb2-", -0.0332122936], + ["Sb2-", "Re2+", -0.2057904994], + ["Re2+", "Sb2-", -0.2057904994], + ["Sb2-", "Re4+", -0.290163447], + ["Re4+", "Sb2-", -0.290163447], + ["Sb2-", "Re7+", -0.1755632497], + ["Re7+", "Sb2-", -0.1755632497], + ["Sb2-", "Os7+", 0.0246625438], + ["Os7+", "Sb2-", 0.0246625438], + ["Sb2-", "Os6+", 0.0097060925], + ["Os6+", "Sb2-", 0.0097060925], + ["Sb2-", "Os5+", -0.0666832403], + ["Os5+", "Sb2-", -0.0666832403], + ["Sb2-", "Os2-", -0.1617774237], + ["Os2-", "Sb2-", -0.1617774237], + ["Sb2-", "Os3+", -0.0941596053], + ["Os3+", "Sb2-", -0.0941596053], + ["Sb2-", "Os4+", -0.1986956391], + ["Os4+", "Sb2-", -0.1986956391], + ["Sb2-", "Os8+", 0.0354491221], + ["Os8+", "Sb2-", 0.0354491221], + ["Sb2-", "Os2+", -0.1889564882], + ["Os2+", "Sb2-", -0.1889564882], + ["Sb2-", "Ir3+", -0.1775136606], + ["Ir3+", "Sb2-", -0.1775136606], + ["Sb2-", "Ir4+", -0.0379483464], + ["Ir4+", "Sb2-", -0.0379483464], + ["Sb2-", "Ir5+", -0.0881379505], + ["Ir5+", "Sb2-", -0.0881379505], + ["Sb2-", "Ir6+", 0.0133104557], + ["Ir6+", "Sb2-", 0.0133104557], + ["Sb2-", "Pt2+", -0.0634303605], + ["Pt2+", "Sb2-", -0.0634303605], + ["Sb2-", "Pt2-", 0.0137393619], + ["Pt2-", "Sb2-", 0.0137393619], + ["Sb2-", "Pt4+", -0.1301202418], + ["Pt4+", "Sb2-", -0.1301202418], + ["Sb2-", "Pt3+", -0.0777109644], + ["Pt3+", "Sb2-", -0.0777109644], + ["Sb2-", "Pt5+", 0.0543695535], + ["Pt5+", "Sb2-", 0.0543695535], + ["Sb2-", "Pt6+", 0.0298864238], + ["Pt6+", "Sb2-", 0.0298864238], + ["Sb2-", "Au2+", 0.0848687123], + ["Au2+", "Sb2-", 0.0848687123], + ["Sb2-", "Au3+", -0.1380560343], + ["Au3+", "Sb2-", -0.1380560343], + ["Sb2-", "Au5+", -0.2582231432], + ["Au5+", "Sb2-", -0.2582231432], + ["Sb2-", "Au4+", 0.0174734956], + ["Au4+", "Sb2-", 0.0174734956], + ["Sb2-", "Hg2+", 0.0363652717], + ["Hg2+", "Sb2-", 0.0363652717], + ["Sb2-", "Tl3+", 0.0152973561], + ["Tl3+", "Sb2-", 0.0152973561], + ["Sb2-", "Tl2+", -0.1008703756], + ["Tl2+", "Sb2-", -0.1008703756], + ["Sb2-", "Pb2+", -0.0115631516], + ["Pb2+", "Sb2-", -0.0115631516], + ["Sb2-", "Pb3+", 0.057950362], + ["Pb3+", "Sb2-", 0.057950362], + ["Sb2-", "Pb4+", -0.0528687687], + ["Pb4+", "Sb2-", -0.0528687687], + ["Sb2-", "Bi3+", -0.1219880766], + ["Bi3+", "Sb2-", -0.1219880766], + ["Sb2-", "Bi5+", -0.0485591578], + ["Bi5+", "Sb2-", -0.0485591578], + ["Sb2-", "Bi2+", -0.0252849572], + ["Bi2+", "Sb2-", -0.0252849572], + ["Sb2-", "Bi3-", 0.433024096], + ["Bi3-", "Sb2-", 0.433024096], + ["Sb2-", "Bi4+", 0.0706145858], + ["Bi4+", "Sb2-", 0.0706145858], + ["Sb2-", "Ac3+", -0.0603053969], + ["Ac3+", "Sb2-", -0.0603053969], + ["Sb2-", "Th4+", 0.057398224], + ["Th4+", "Sb2-", 0.057398224], + ["Sb2-", "Th3+", -0.0273519449], + ["Th3+", "Sb2-", -0.0273519449], + ["Sb2-", "Pa4+", -0.0487547611], + ["Pa4+", "Sb2-", -0.0487547611], + ["Sb2-", "Pa5+", -0.0155245779], + ["Pa5+", "Sb2-", -0.0155245779], + ["Sb2-", "Pa3+", -0.2105375265], + ["Pa3+", "Sb2-", -0.2105375265], + ["Sb2-", "U6+", 0.0210414331], + ["U6+", "Sb2-", 0.0210414331], + ["Sb2-", "U4+", -0.1026610101], + ["U4+", "Sb2-", -0.1026610101], + ["Sb2-", "U3+", -0.1433347984], + ["U3+", "Sb2-", -0.1433347984], + ["Sb2-", "U2+", -0.03849118], + ["U2+", "Sb2-", -0.03849118], + ["Sb2-", "U5+", -0.0412335265], + ["U5+", "Sb2-", -0.0412335265], + ["Sb2-", "Np6+", 0.0514830476], + ["Np6+", "Sb2-", 0.0514830476], + ["Sb2-", "Np4+", -0.0387762446], + ["Np4+", "Sb2-", -0.0387762446], + ["Sb2-", "Np3+", -0.1713720808], + ["Np3+", "Sb2-", -0.1713720808], + ["Sb2-", "Np7+", 0.0129560726], + ["Np7+", "Sb2-", 0.0129560726], + ["Sb2-", "Np5+", -0.1161086792], + ["Np5+", "Sb2-", -0.1161086792], + ["Sb2-", "Pu7+", 0.0810556828], + ["Pu7+", "Sb2-", 0.0810556828], + ["Sb2-", "Pu6+", -0.0801294549], + ["Pu6+", "Sb2-", -0.0801294549], + ["Sb2-", "Pu3+", -0.273967294], + ["Pu3+", "Sb2-", -0.273967294], + ["Sb2-", "Pu4+", -0.041583305], + ["Pu4+", "Sb2-", -0.041583305], + ["Sb2-", "Pu5+", -0.1014542875], + ["Pu5+", "Sb2-", -0.1014542875], + ["Sb2-", "H1+", -0.0563190129], + ["H1+", "Sb2-", -0.0563190129], + ["Sb2-", "H1-", -0.045559703], + ["H1-", "Sb2-", -0.045559703], + ["Sb2-", "Li1+", 0.1074651951], + ["Li1+", "Sb2-", 0.1074651951], + ["Sb2-", "B1+", -0.2778086446], + ["B1+", "Sb2-", -0.2778086446], + ["Sb2-", "B1-", 0.0691928668], + ["B1-", "Sb2-", 0.0691928668], + ["Sb2-", "C1-", -0.0960432894], + ["C1-", "Sb2-", -0.0960432894], + ["Sb2-", "C1+", -0.10243766], + ["C1+", "Sb2-", -0.10243766], + ["Sb2-", "N1-", 0.0668479186], + ["N1-", "Sb2-", 0.0668479186], + ["Sb2-", "N1+", -0.0215987035], + ["N1+", "Sb2-", -0.0215987035], + ["Sb2-", "O1-", 0.1898800101], + ["O1-", "Sb2-", 0.1898800101], + ["Sb2-", "F1-", 0.2134606088], + ["F1-", "Sb2-", 0.2134606088], + ["Sb2-", "Na1+", 0.0683648044], + ["Na1+", "Sb2-", 0.0683648044], + ["Sb2-", "Si1-", 0.104785591], + ["Si1-", "Sb2-", 0.104785591], + ["Sb2-", "P1+", -0.0981772523], + ["P1+", "Sb2-", -0.0981772523], + ["Sb2-", "P1-", 0.2447258772], + ["P1-", "Sb2-", 0.2447258772], + ["Sb2-", "S1-", 0.1227532839], + ["S1-", "Sb2-", 0.1227532839], + ["Sb2-", "S1+", -0.0041768515], + ["S1+", "Sb2-", -0.0041768515], + ["Sb2-", "Cl1-", 0.1268579432], + ["Cl1-", "Sb2-", 0.1268579432], + ["Sb2-", "K1+", 0.0397855781], + ["K1+", "Sb2-", 0.0397855781], + ["Sb2-", "Sc1+", 0.0041425578], + ["Sc1+", "Sb2-", 0.0041425578], + ["Sb2-", "Mn1+", 0.1061664791], + ["Mn1+", "Sb2-", 0.1061664791], + ["Sb2-", "Fe1+", -0.3725651233], + ["Fe1+", "Sb2-", -0.3725651233], + ["Sb2-", "Co1+", -0.2882089045], + ["Co1+", "Sb2-", -0.2882089045], + ["Sb2-", "Ni1+", -0.3073116647], + ["Ni1+", "Sb2-", -0.3073116647], + ["Sb2-", "Cu1+", -0.0784829137], + ["Cu1+", "Sb2-", -0.0784829137], + ["Sb2-", "Ga1+", -0.1245271308], + ["Ga1+", "Sb2-", -0.1245271308], + ["Sb2-", "As1-", 0.2095554558], + ["As1-", "Sb2-", 0.2095554558], + ["Sb2-", "As1+", -0.0474343057], + ["As1+", "Sb2-", -0.0474343057], + ["Sb2-", "Se1-", 0.1474341779], + ["Se1-", "Sb2-", 0.1474341779], + ["Sb2-", "Se1+", 0.0538950652], + ["Se1+", "Sb2-", 0.0538950652], + ["Sb2-", "Br1-", 0.2826272989], + ["Br1-", "Sb2-", 0.2826272989], + ["Sb2-", "Br1+", -0.0885489412], + ["Br1+", "Sb2-", -0.0885489412], + ["Sb2-", "Rb1+", -0.0017784383], + ["Rb1+", "Sb2-", -0.0017784383], + ["Sb2-", "Y1+", 0.084207918], + ["Y1+", "Sb2-", 0.084207918], + ["Sb2-", "Zr1+", -0.1257862304], + ["Zr1+", "Sb2-", -0.1257862304], + ["Sb2-", "Nb1+", -0.2356989768], + ["Nb1+", "Sb2-", -0.2356989768], + ["Sb2-", "Tc1-", 0.1652456377], + ["Tc1-", "Sb2-", 0.1652456377], + ["Sb2-", "Tc1+", -0.067152408], + ["Tc1+", "Sb2-", -0.067152408], + ["Sb2-", "Rh1+", -0.0821595029], + ["Rh1+", "Sb2-", -0.0821595029], + ["Sb2-", "Ag1+", -0.0019261105], + ["Ag1+", "Sb2-", -0.0019261105], + ["Sb2-", "In1+", 0.0553954132], + ["In1+", "Sb2-", 0.0553954132], + ["Sb2-", "Sb1-", 0.498948285], + ["Sb1-", "Sb2-", 0.498948285], + ["Sb2-", "Sb1+", 0.0230543329], + ["Sb1+", "Sb2-", 0.0230543329], + ["Sb2-", "Te1-", 0.1993182004], + ["Te1-", "Sb2-", 0.1993182004], + ["Sb2-", "Te1+", -0.0186769576], + ["Te1+", "Sb2-", -0.0186769576], + ["Sb2-", "I1-", 0.2110739587], + ["I1-", "Sb2-", 0.2110739587], + ["Sb2-", "I1+", 0.0274846489], + ["I1+", "Sb2-", 0.0274846489], + ["Sb2-", "Cs1+", -0.103684067], + ["Cs1+", "Sb2-", -0.103684067], + ["Sb2-", "La1+", -0.0375884165], + ["La1+", "Sb2-", -0.0375884165], + ["Sb2-", "Tb1+", 0.0168718095], + ["Tb1+", "Sb2-", 0.0168718095], + ["Sb2-", "Ta1+", -0.2308655436], + ["Ta1+", "Sb2-", -0.2308655436], + ["Sb2-", "Os1-", -0.2451506514], + ["Os1-", "Sb2-", -0.2451506514], + ["Sb2-", "Os1+", -0.0196765906], + ["Os1+", "Sb2-", -0.0196765906], + ["Sb2-", "Pt1-", 0.1906218008], + ["Pt1-", "Sb2-", 0.1906218008], + ["Sb2-", "Pt1+", -0.2256212094], + ["Pt1+", "Sb2-", -0.2256212094], + ["Sb2-", "Au1-", 0.1578064734], + ["Au1-", "Sb2-", 0.1578064734], + ["Sb2-", "Au1+", -0.0528281186], + ["Au1+", "Sb2-", -0.0528281186], + ["Sb2-", "Hg1+", 0.1251374218], + ["Hg1+", "Sb2-", 0.1251374218], + ["Sb2-", "Tl1+", -0.001216182], + ["Tl1+", "Sb2-", -0.001216182], + ["Sb2-", "Bi1+", -0.1330661555], + ["Bi1+", "Sb2-", -0.1330661555], + ["Sb3-", "Sb3-", 1.0], + ["Sb3-", "Sb3+", -0.247116496], + ["Sb3+", "Sb3-", -0.247116496], + ["Sb3-", "Sb4+", -0.1352717742], + ["Sb4+", "Sb3-", -0.1352717742], + ["Sb3-", "Te2-", 0.3592360359], + ["Te2-", "Sb3-", 0.3592360359], + ["Sb3-", "Te4+", -0.1943762467], + ["Te4+", "Sb3-", -0.1943762467], + ["Sb3-", "Te6+", -0.190863754], + ["Te6+", "Sb3-", -0.190863754], + ["Sb3-", "Te2+", -0.0090327973], + ["Te2+", "Sb3-", -0.0090327973], + ["Sb3-", "Te5+", -0.1061432234], + ["Te5+", "Sb3-", -0.1061432234], + ["Sb3-", "I3+", -0.0724403341], + ["I3+", "Sb3-", -0.0724403341], + ["Sb3-", "I7+", -0.0188648531], + ["I7+", "Sb3-", -0.0188648531], + ["Sb3-", "I5+", -0.0535612167], + ["I5+", "Sb3-", -0.0535612167], + ["Sb3-", "I2+", 0.1052198542], + ["I2+", "Sb3-", 0.1052198542], + ["Sb3-", "Ba2+", -0.0204033776], + ["Ba2+", "Sb3-", -0.0204033776], + ["Sb3-", "La3+", -0.0687775361], + ["La3+", "Sb3-", -0.0687775361], + ["Sb3-", "La2+", 0.0656856941], + ["La2+", "Sb3-", 0.0656856941], + ["Sb3-", "Ce3+", 0.0469207975], + ["Ce3+", "Sb3-", 0.0469207975], + ["Sb3-", "Ce2+", 0.1290689217], + ["Ce2+", "Sb3-", 0.1290689217], + ["Sb3-", "Ce4+", -0.016483901], + ["Ce4+", "Sb3-", -0.016483901], + ["Sb3-", "Pr3+", -0.081451795], + ["Pr3+", "Sb3-", -0.081451795], + ["Sb3-", "Pr4+", -0.221206469], + ["Pr4+", "Sb3-", -0.221206469], + ["Sb3-", "Pr2+", -0.2078660244], + ["Pr2+", "Sb3-", -0.2078660244], + ["Sb3-", "Nd3+", -0.0955790988], + ["Nd3+", "Sb3-", -0.0955790988], + ["Sb3-", "Nd2+", 0.0058890215], + ["Nd2+", "Sb3-", 0.0058890215], + ["Sb3-", "Pm3+", -0.0436791558], + ["Pm3+", "Sb3-", -0.0436791558], + ["Sb3-", "Sm3+", -0.0632420554], + ["Sm3+", "Sb3-", -0.0632420554], + ["Sb3-", "Sm2+", 0.1557467602], + ["Sm2+", "Sb3-", 0.1557467602], + ["Sb3-", "Eu2+", 0.1240143581], + ["Eu2+", "Sb3-", 0.1240143581], + ["Sb3-", "Eu3+", -0.0086576112], + ["Eu3+", "Sb3-", -0.0086576112], + ["Sb3-", "Gd2+", -0.1085506164], + ["Gd2+", "Sb3-", -0.1085506164], + ["Sb3-", "Gd3+", -0.2082533953], + ["Gd3+", "Sb3-", -0.2082533953], + ["Sb3-", "Tb3+", -0.1814722864], + ["Tb3+", "Sb3-", -0.1814722864], + ["Sb3-", "Tb2+", 0.0112027035], + ["Tb2+", "Sb3-", 0.0112027035], + ["Sb3-", "Tb4+", -0.1381902692], + ["Tb4+", "Sb3-", -0.1381902692], + ["Sb3-", "Dy3+", -0.1263891348], + ["Dy3+", "Sb3-", -0.1263891348], + ["Sb3-", "Dy2+", -0.0006328578], + ["Dy2+", "Sb3-", -0.0006328578], + ["Sb3-", "Ho3+", -0.1757064973], + ["Ho3+", "Sb3-", -0.1757064973], + ["Sb3-", "Ho2+", 0.0453882576], + ["Ho2+", "Sb3-", 0.0453882576], + ["Sb3-", "Er3+", -0.1827551091], + ["Er3+", "Sb3-", -0.1827551091], + ["Sb3-", "Tm3+", -0.1188604769], + ["Tm3+", "Sb3-", -0.1188604769], + ["Sb3-", "Tm2+", 0.0077516508], + ["Tm2+", "Sb3-", 0.0077516508], + ["Sb3-", "Yb3+", 0.0742721223], + ["Yb3+", "Sb3-", 0.0742721223], + ["Sb3-", "Yb2+", 0.1294135706], + ["Yb2+", "Sb3-", 0.1294135706], + ["Sb3-", "Lu3+", -0.2220048015], + ["Lu3+", "Sb3-", -0.2220048015], + ["Sb3-", "Hf3+", 0.0304830953], + ["Hf3+", "Sb3-", 0.0304830953], + ["Sb3-", "Hf2+", 0.1309245484], + ["Hf2+", "Sb3-", 0.1309245484], + ["Sb3-", "Hf4+", -0.0081549056], + ["Hf4+", "Sb3-", -0.0081549056], + ["Sb3-", "Ta5+", -0.2252036365], + ["Ta5+", "Sb3-", -0.2252036365], + ["Sb3-", "Ta3+", -0.1483745239], + ["Ta3+", "Sb3-", -0.1483745239], + ["Sb3-", "Ta4+", -0.086210136], + ["Ta4+", "Sb3-", -0.086210136], + ["Sb3-", "Ta2+", -0.1466039018], + ["Ta2+", "Sb3-", -0.1466039018], + ["Sb3-", "W6+", -0.1353195002], + ["W6+", "Sb3-", -0.1353195002], + ["Sb3-", "W4+", -0.2661042564], + ["W4+", "Sb3-", -0.2661042564], + ["Sb3-", "W2+", -0.2492350893], + ["W2+", "Sb3-", -0.2492350893], + ["Sb3-", "W3+", -0.2191490513], + ["W3+", "Sb3-", -0.2191490513], + ["Sb3-", "W5+", -0.2323639696], + ["W5+", "Sb3-", -0.2323639696], + ["Sb3-", "Re5+", -0.0590778987], + ["Re5+", "Sb3-", -0.0590778987], + ["Sb3-", "Re3+", -0.283232211], + ["Re3+", "Sb3-", -0.283232211], + ["Sb3-", "Re6+", 0.00002754], + ["Re6+", "Sb3-", 0.00002754], + ["Sb3-", "Re2+", -0.0663802474], + ["Re2+", "Sb3-", -0.0663802474], + ["Sb3-", "Re4+", -0.1690175553], + ["Re4+", "Sb3-", -0.1690175553], + ["Sb3-", "Re7+", -0.0978151464], + ["Re7+", "Sb3-", -0.0978151464], + ["Sb3-", "Os7+", 0.0156242064], + ["Os7+", "Sb3-", 0.0156242064], + ["Sb3-", "Os6+", -0.0608553441], + ["Os6+", "Sb3-", -0.0608553441], + ["Sb3-", "Os5+", -0.037446966], + ["Os5+", "Sb3-", -0.037446966], + ["Sb3-", "Os2-", 0.1064405363], + ["Os2-", "Sb3-", 0.1064405363], + ["Sb3-", "Os3+", -0.0454070899], + ["Os3+", "Sb3-", -0.0454070899], + ["Sb3-", "Os4+", -0.2713323146], + ["Os4+", "Sb3-", -0.2713323146], + ["Sb3-", "Os8+", -0.0144768711], + ["Os8+", "Sb3-", -0.0144768711], + ["Sb3-", "Os2+", -0.0756505189], + ["Os2+", "Sb3-", -0.0756505189], + ["Sb3-", "Ir3+", -0.1506766492], + ["Ir3+", "Sb3-", -0.1506766492], + ["Sb3-", "Ir4+", -0.1139847326], + ["Ir4+", "Sb3-", -0.1139847326], + ["Sb3-", "Ir5+", -0.0440789313], + ["Ir5+", "Sb3-", -0.0440789313], + ["Sb3-", "Ir6+", -0.1292830873], + ["Ir6+", "Sb3-", -0.1292830873], + ["Sb3-", "Pt2+", 0.0667063205], + ["Pt2+", "Sb3-", 0.0667063205], + ["Sb3-", "Pt2-", 0.0846669397], + ["Pt2-", "Sb3-", 0.0846669397], + ["Sb3-", "Pt4+", -0.1039391773], + ["Pt4+", "Sb3-", -0.1039391773], + ["Sb3-", "Pt3+", -0.0087323134], + ["Pt3+", "Sb3-", -0.0087323134], + ["Sb3-", "Pt5+", 0.1565277284], + ["Pt5+", "Sb3-", 0.1565277284], + ["Sb3-", "Pt6+", -0.0676884927], + ["Pt6+", "Sb3-", -0.0676884927], + ["Sb3-", "Au2+", 0.1007407322], + ["Au2+", "Sb3-", 0.1007407322], + ["Sb3-", "Au3+", -0.1034948412], + ["Au3+", "Sb3-", -0.1034948412], + ["Sb3-", "Au5+", -0.1987059705], + ["Au5+", "Sb3-", -0.1987059705], + ["Sb3-", "Au4+", -0.13717709], + ["Au4+", "Sb3-", -0.13717709], + ["Sb3-", "Hg2+", 0.0116039597], + ["Hg2+", "Sb3-", 0.0116039597], + ["Sb3-", "Tl3+", -0.1243616598], + ["Tl3+", "Sb3-", -0.1243616598], + ["Sb3-", "Tl2+", -0.108959604], + ["Tl2+", "Sb3-", -0.108959604], + ["Sb3-", "Pb2+", -0.0758695303], + ["Pb2+", "Sb3-", -0.0758695303], + ["Sb3-", "Pb3+", -0.0597682705], + ["Pb3+", "Sb3-", -0.0597682705], + ["Sb3-", "Pb4+", -0.124378686], + ["Pb4+", "Sb3-", -0.124378686], + ["Sb3-", "Bi3+", -0.1593581393], + ["Bi3+", "Sb3-", -0.1593581393], + ["Sb3-", "Bi5+", -0.177066918], + ["Bi5+", "Sb3-", -0.177066918], + ["Sb3-", "Bi2+", -0.0426412879], + ["Bi2+", "Sb3-", -0.0426412879], + ["Sb3-", "Bi3-", 0.5655565308], + ["Bi3-", "Sb3-", 0.5655565308], + ["Sb3-", "Bi4+", -0.0862719822], + ["Bi4+", "Sb3-", -0.0862719822], + ["Sb3-", "Ac3+", 0.0204601841], + ["Ac3+", "Sb3-", 0.0204601841], + ["Sb3-", "Th4+", -0.0298557576], + ["Th4+", "Sb3-", -0.0298557576], + ["Sb3-", "Th3+", 0.0055533019], + ["Th3+", "Sb3-", 0.0055533019], + ["Sb3-", "Pa4+", 0.0681652737], + ["Pa4+", "Sb3-", 0.0681652737], + ["Sb3-", "Pa5+", -0.1397641333], + ["Pa5+", "Sb3-", -0.1397641333], + ["Sb3-", "Pa3+", -0.1441296051], + ["Pa3+", "Sb3-", -0.1441296051], + ["Sb3-", "U6+", -0.0206704875], + ["U6+", "Sb3-", -0.0206704875], + ["Sb3-", "U4+", 0.0599975942], + ["U4+", "Sb3-", 0.0599975942], + ["Sb3-", "U3+", 0.000291683], + ["U3+", "Sb3-", 0.000291683], + ["Sb3-", "U2+", 0.2062177731], + ["U2+", "Sb3-", 0.2062177731], + ["Sb3-", "U5+", -0.1221140777], + ["U5+", "Sb3-", -0.1221140777], + ["Sb3-", "Np6+", 0.1088200334], + ["Np6+", "Sb3-", 0.1088200334], + ["Sb3-", "Np4+", -0.1145693869], + ["Np4+", "Sb3-", -0.1145693869], + ["Sb3-", "Np3+", -0.1591230418], + ["Np3+", "Sb3-", -0.1591230418], + ["Sb3-", "Np7+", -0.0325235109], + ["Np7+", "Sb3-", -0.0325235109], + ["Sb3-", "Np5+", -0.0967635954], + ["Np5+", "Sb3-", -0.0967635954], + ["Sb3-", "Pu7+", -0.0335573655], + ["Pu7+", "Sb3-", -0.0335573655], + ["Sb3-", "Pu6+", 0.052039144], + ["Pu6+", "Sb3-", 0.052039144], + ["Sb3-", "Pu3+", -0.1302645107], + ["Pu3+", "Sb3-", -0.1302645107], + ["Sb3-", "Pu4+", -0.1092972136], + ["Pu4+", "Sb3-", -0.1092972136], + ["Sb3-", "Pu5+", -0.0853860049], + ["Pu5+", "Sb3-", -0.0853860049], + ["Sb3-", "H1+", -0.1287069361], + ["H1+", "Sb3-", -0.1287069361], + ["Sb3-", "H1-", 0.2304110826], + ["H1-", "Sb3-", 0.2304110826], + ["Sb3-", "Li1+", -0.0289175007], + ["Li1+", "Sb3-", -0.0289175007], + ["Sb3-", "B1+", -0.2196193359], + ["B1+", "Sb3-", -0.2196193359], + ["Sb3-", "B1-", 0.1831581581], + ["B1-", "Sb3-", 0.1831581581], + ["Sb3-", "C1-", 0.0738372599], + ["C1-", "Sb3-", 0.0738372599], + ["Sb3-", "C1+", -0.0797209802], + ["C1+", "Sb3-", -0.0797209802], + ["Sb3-", "N1-", 0.2058429568], + ["N1-", "Sb3-", 0.2058429568], + ["Sb3-", "N1+", -0.0602536666], + ["N1+", "Sb3-", -0.0602536666], + ["Sb3-", "O1-", 0.2156517068], + ["O1-", "Sb3-", 0.2156517068], + ["Sb3-", "F1-", 0.3305914222], + ["F1-", "Sb3-", 0.3305914222], + ["Sb3-", "Na1+", 0.0440104604], + ["Na1+", "Sb3-", 0.0440104604], + ["Sb3-", "Si1-", 0.2981136157], + ["Si1-", "Sb3-", 0.2981136157], + ["Sb3-", "P1+", -0.0599935467], + ["P1+", "Sb3-", -0.0599935467], + ["Sb3-", "P1-", 0.1398292069], + ["P1-", "Sb3-", 0.1398292069], + ["Sb3-", "S1-", 0.2109470129], + ["S1-", "Sb3-", 0.2109470129], + ["Sb3-", "S1+", -0.0470583987], + ["S1+", "Sb3-", -0.0470583987], + ["Sb3-", "Cl1-", 0.3007008415], + ["Cl1-", "Sb3-", 0.3007008415], + ["Sb3-", "K1+", 0.0193804156], + ["K1+", "Sb3-", 0.0193804156], + ["Sb3-", "Sc1+", 0.1192335741], + ["Sc1+", "Sb3-", 0.1192335741], + ["Sb3-", "Mn1+", 0.0934189231], + ["Mn1+", "Sb3-", 0.0934189231], + ["Sb3-", "Fe1+", -0.0707192649], + ["Fe1+", "Sb3-", -0.0707192649], + ["Sb3-", "Co1+", 0.0572163415], + ["Co1+", "Sb3-", 0.0572163415], + ["Sb3-", "Ni1+", 0.0115918456], + ["Ni1+", "Sb3-", 0.0115918456], + ["Sb3-", "Cu1+", 0.1595142428], + ["Cu1+", "Sb3-", 0.1595142428], + ["Sb3-", "Ga1+", -0.0039224487], + ["Ga1+", "Sb3-", -0.0039224487], + ["Sb3-", "As1-", 0.1437986976], + ["As1-", "Sb3-", 0.1437986976], + ["Sb3-", "As1+", -0.0100520952], + ["As1+", "Sb3-", -0.0100520952], + ["Sb3-", "Se1-", 0.2092744818], + ["Se1-", "Sb3-", 0.2092744818], + ["Sb3-", "Se1+", -0.0128700647], + ["Se1+", "Sb3-", -0.0128700647], + ["Sb3-", "Br1-", 0.3700118469], + ["Br1-", "Sb3-", 0.3700118469], + ["Sb3-", "Br1+", 0.0600920532], + ["Br1+", "Sb3-", 0.0600920532], + ["Sb3-", "Rb1+", -0.0306007957], + ["Rb1+", "Sb3-", -0.0306007957], + ["Sb3-", "Y1+", 0.1291942426], + ["Y1+", "Sb3-", 0.1291942426], + ["Sb3-", "Zr1+", 0.0925171741], + ["Zr1+", "Sb3-", 0.0925171741], + ["Sb3-", "Nb1+", -0.0409864974], + ["Nb1+", "Sb3-", -0.0409864974], + ["Sb3-", "Tc1-", 0.3338977409], + ["Tc1-", "Sb3-", 0.3338977409], + ["Sb3-", "Tc1+", -0.0610796133], + ["Tc1+", "Sb3-", -0.0610796133], + ["Sb3-", "Rh1+", 0.1892032612], + ["Rh1+", "Sb3-", 0.1892032612], + ["Sb3-", "Ag1+", 0.1377774956], + ["Ag1+", "Sb3-", 0.1377774956], + ["Sb3-", "In1+", -0.0017718984], + ["In1+", "Sb3-", -0.0017718984], + ["Sb3-", "Sb1-", 0.3330907288], + ["Sb1-", "Sb3-", 0.3330907288], + ["Sb3-", "Sb1+", -0.0084766921], + ["Sb1+", "Sb3-", -0.0084766921], + ["Sb3-", "Te1-", 0.2094694812], + ["Te1-", "Sb3-", 0.2094694812], + ["Sb3-", "Te1+", -0.0164761947], + ["Te1+", "Sb3-", -0.0164761947], + ["Sb3-", "I1-", 0.2775991921], + ["I1-", "Sb3-", 0.2775991921], + ["Sb3-", "I1+", 0.0080938607], + ["I1+", "Sb3-", 0.0080938607], + ["Sb3-", "Cs1+", -0.0690366644], + ["Cs1+", "Sb3-", -0.0690366644], + ["Sb3-", "La1+", 0.1619753501], + ["La1+", "Sb3-", 0.1619753501], + ["Sb3-", "Tb1+", 0.1227632503], + ["Tb1+", "Sb3-", 0.1227632503], + ["Sb3-", "Ta1+", 0.0126541714], + ["Ta1+", "Sb3-", 0.0126541714], + ["Sb3-", "Os1-", 0.0364592134], + ["Os1-", "Sb3-", 0.0364592134], + ["Sb3-", "Os1+", -0.1055396754], + ["Os1+", "Sb3-", -0.1055396754], + ["Sb3-", "Pt1-", 0.1311980562], + ["Pt1-", "Sb3-", 0.1311980562], + ["Sb3-", "Pt1+", -0.2237343603], + ["Pt1+", "Sb3-", -0.2237343603], + ["Sb3-", "Au1-", 0.13323024], + ["Au1-", "Sb3-", 0.13323024], + ["Sb3-", "Au1+", 0.1203319671], + ["Au1+", "Sb3-", 0.1203319671], + ["Sb3-", "Hg1+", 0.0386548137], + ["Hg1+", "Sb3-", 0.0386548137], + ["Sb3-", "Tl1+", 0.036569913], + ["Tl1+", "Sb3-", 0.036569913], + ["Sb3-", "Bi1+", -0.0077856248], + ["Bi1+", "Sb3-", -0.0077856248], + ["Sb3+", "Sb3+", 1.0], + ["Sb3+", "Sb4+", 0.317480692], + ["Sb4+", "Sb3+", 0.317480692], + ["Sb3+", "Te2-", 0.2296528841], + ["Te2-", "Sb3+", 0.2296528841], + ["Sb3+", "Te4+", 0.4873404594], + ["Te4+", "Sb3+", 0.4873404594], + ["Sb3+", "Te6+", 0.2367983524], + ["Te6+", "Sb3+", 0.2367983524], + ["Sb3+", "Te2+", 0.271025215], + ["Te2+", "Sb3+", 0.271025215], + ["Sb3+", "Te5+", 0.223322331], + ["Te5+", "Sb3+", 0.223322331], + ["Sb3+", "I3+", 0.1265155662], + ["I3+", "Sb3+", 0.1265155662], + ["Sb3+", "I7+", 0.1882324485], + ["I7+", "Sb3+", 0.1882324485], + ["Sb3+", "I5+", 0.1826170563], + ["I5+", "Sb3+", 0.1826170563], + ["Sb3+", "I2+", 0.2829352274], + ["I2+", "Sb3+", 0.2829352274], + ["Sb3+", "Ba2+", 0.5339271069], + ["Ba2+", "Sb3+", 0.5339271069], + ["Sb3+", "La3+", 0.4195748422], + ["La3+", "Sb3+", 0.4195748422], + ["Sb3+", "La2+", 0.0326854301], + ["La2+", "Sb3+", 0.0326854301], + ["Sb3+", "Ce3+", 0.3590131828], + ["Ce3+", "Sb3+", 0.3590131828], + ["Sb3+", "Ce2+", 0.1551331502], + ["Ce2+", "Sb3+", 0.1551331502], + ["Sb3+", "Ce4+", 0.1040022474], + ["Ce4+", "Sb3+", 0.1040022474], + ["Sb3+", "Pr3+", 0.3423715272], + ["Pr3+", "Sb3+", 0.3423715272], + ["Sb3+", "Pr4+", 0.1589950067], + ["Pr4+", "Sb3+", 0.1589950067], + ["Sb3+", "Pr2+", 0.1312140076], + ["Pr2+", "Sb3+", 0.1312140076], + ["Sb3+", "Nd3+", 0.3959657565], + ["Nd3+", "Sb3+", 0.3959657565], + ["Sb3+", "Nd2+", 0.0475380006], + ["Nd2+", "Sb3+", 0.0475380006], + ["Sb3+", "Pm3+", 0.4534060784], + ["Pm3+", "Sb3+", 0.4534060784], + ["Sb3+", "Sm3+", 0.296668449], + ["Sm3+", "Sb3+", 0.296668449], + ["Sb3+", "Sm2+", 0.2182273849], + ["Sm2+", "Sb3+", 0.2182273849], + ["Sb3+", "Eu2+", 0.2133591007], + ["Eu2+", "Sb3+", 0.2133591007], + ["Sb3+", "Eu3+", 0.2116885166], + ["Eu3+", "Sb3+", 0.2116885166], + ["Sb3+", "Gd2+", 0.142229081], + ["Gd2+", "Sb3+", 0.142229081], + ["Sb3+", "Gd3+", 0.3960978339], + ["Gd3+", "Sb3+", 0.3960978339], + ["Sb3+", "Tb3+", 0.3987636591], + ["Tb3+", "Sb3+", 0.3987636591], + ["Sb3+", "Tb2+", -0.0593471366], + ["Tb2+", "Sb3+", -0.0593471366], + ["Sb3+", "Tb4+", 0.1770731668], + ["Tb4+", "Sb3+", 0.1770731668], + ["Sb3+", "Dy3+", 0.3412317929], + ["Dy3+", "Sb3+", 0.3412317929], + ["Sb3+", "Dy2+", 0.0431931057], + ["Dy2+", "Sb3+", 0.0431931057], + ["Sb3+", "Ho3+", 0.4020867888], + ["Ho3+", "Sb3+", 0.4020867888], + ["Sb3+", "Ho2+", 0.0663222687], + ["Ho2+", "Sb3+", 0.0663222687], + ["Sb3+", "Er3+", 0.4628465875], + ["Er3+", "Sb3+", 0.4628465875], + ["Sb3+", "Tm3+", 0.4041069385], + ["Tm3+", "Sb3+", 0.4041069385], + ["Sb3+", "Tm2+", 0.1303217172], + ["Tm2+", "Sb3+", 0.1303217172], + ["Sb3+", "Yb3+", 0.2947505269], + ["Yb3+", "Sb3+", 0.2947505269], + ["Sb3+", "Yb2+", 0.2245026404], + ["Yb2+", "Sb3+", 0.2245026404], + ["Sb3+", "Lu3+", 0.3597772434], + ["Lu3+", "Sb3+", 0.3597772434], + ["Sb3+", "Hf3+", 0.0829397919], + ["Hf3+", "Sb3+", 0.0829397919], + ["Sb3+", "Hf2+", -0.1536155036], + ["Hf2+", "Sb3+", -0.1536155036], + ["Sb3+", "Hf4+", 0.2543568665], + ["Hf4+", "Sb3+", 0.2543568665], + ["Sb3+", "Ta5+", 0.4366626539], + ["Ta5+", "Sb3+", 0.4366626539], + ["Sb3+", "Ta3+", 0.4420762755], + ["Ta3+", "Sb3+", 0.4420762755], + ["Sb3+", "Ta4+", 0.4135416272], + ["Ta4+", "Sb3+", 0.4135416272], + ["Sb3+", "Ta2+", 0.1974302751], + ["Ta2+", "Sb3+", 0.1974302751], + ["Sb3+", "W6+", 0.3146256468], + ["W6+", "Sb3+", 0.3146256468], + ["Sb3+", "W4+", 0.4989430388], + ["W4+", "Sb3+", 0.4989430388], + ["Sb3+", "W2+", 0.4252554184], + ["W2+", "Sb3+", 0.4252554184], + ["Sb3+", "W3+", 0.44233747], + ["W3+", "Sb3+", 0.44233747], + ["Sb3+", "W5+", 0.4526621865], + ["W5+", "Sb3+", 0.4526621865], + ["Sb3+", "Re5+", 0.2902753748], + ["Re5+", "Sb3+", 0.2902753748], + ["Sb3+", "Re3+", 0.4499710501], + ["Re3+", "Sb3+", 0.4499710501], + ["Sb3+", "Re6+", 0.2466318778], + ["Re6+", "Sb3+", 0.2466318778], + ["Sb3+", "Re2+", 0.2334594199], + ["Re2+", "Sb3+", 0.2334594199], + ["Sb3+", "Re4+", 0.4433277278], + ["Re4+", "Sb3+", 0.4433277278], + ["Sb3+", "Re7+", 0.2328458891], + ["Re7+", "Sb3+", 0.2328458891], + ["Sb3+", "Os7+", 0.1725618167], + ["Os7+", "Sb3+", 0.1725618167], + ["Sb3+", "Os6+", 0.2772335403], + ["Os6+", "Sb3+", 0.2772335403], + ["Sb3+", "Os5+", 0.3571171926], + ["Os5+", "Sb3+", 0.3571171926], + ["Sb3+", "Os2-", 0.1123492502], + ["Os2-", "Sb3+", 0.1123492502], + ["Sb3+", "Os3+", 0.247770755], + ["Os3+", "Sb3+", 0.247770755], + ["Sb3+", "Os4+", 0.2441737349], + ["Os4+", "Sb3+", 0.2441737349], + ["Sb3+", "Os8+", 0.3060806224], + ["Os8+", "Sb3+", 0.3060806224], + ["Sb3+", "Os2+", 0.070120409], + ["Os2+", "Sb3+", 0.070120409], + ["Sb3+", "Ir3+", 0.2011278417], + ["Ir3+", "Sb3+", 0.2011278417], + ["Sb3+", "Ir4+", 0.3566030966], + ["Ir4+", "Sb3+", 0.3566030966], + ["Sb3+", "Ir5+", 0.3338675774], + ["Ir5+", "Sb3+", 0.3338675774], + ["Sb3+", "Ir6+", 0.2921347665], + ["Ir6+", "Sb3+", 0.2921347665], + ["Sb3+", "Pt2+", 0.1859611367], + ["Pt2+", "Sb3+", 0.1859611367], + ["Sb3+", "Pt2-", 0.0764136172], + ["Pt2-", "Sb3+", 0.0764136172], + ["Sb3+", "Pt4+", 0.3202490998], + ["Pt4+", "Sb3+", 0.3202490998], + ["Sb3+", "Pt3+", 0.0853958767], + ["Pt3+", "Sb3+", 0.0853958767], + ["Sb3+", "Pt5+", 0.2810275892], + ["Pt5+", "Sb3+", 0.2810275892], + ["Sb3+", "Pt6+", 0.2201943831], + ["Pt6+", "Sb3+", 0.2201943831], + ["Sb3+", "Au2+", 0.2630611041], + ["Au2+", "Sb3+", 0.2630611041], + ["Sb3+", "Au3+", 0.3380419735], + ["Au3+", "Sb3+", 0.3380419735], + ["Sb3+", "Au5+", 0.4085632312], + ["Au5+", "Sb3+", 0.4085632312], + ["Sb3+", "Au4+", 0.4097779944], + ["Au4+", "Sb3+", 0.4097779944], + ["Sb3+", "Hg2+", 0.3765764494], + ["Hg2+", "Sb3+", 0.3765764494], + ["Sb3+", "Tl3+", 0.425853404], + ["Tl3+", "Sb3+", 0.425853404], + ["Sb3+", "Tl2+", 0.4532585871], + ["Tl2+", "Sb3+", 0.4532585871], + ["Sb3+", "Pb2+", 0.6853270313], + ["Pb2+", "Sb3+", 0.6853270313], + ["Sb3+", "Pb3+", 0.2644337871], + ["Pb3+", "Sb3+", 0.2644337871], + ["Sb3+", "Pb4+", 0.3353793032], + ["Pb4+", "Sb3+", 0.3353793032], + ["Sb3+", "Bi3+", 0.7487242819], + ["Bi3+", "Sb3+", 0.7487242819], + ["Sb3+", "Bi5+", 0.2157009626], + ["Bi5+", "Sb3+", 0.2157009626], + ["Sb3+", "Bi2+", 0.380565461], + ["Bi2+", "Sb3+", 0.380565461], + ["Sb3+", "Bi3-", -0.0741469713], + ["Bi3-", "Sb3+", -0.0741469713], + ["Sb3+", "Bi4+", 0.1670989955], + ["Bi4+", "Sb3+", 0.1670989955], + ["Sb3+", "Ac3+", 0.4973741913], + ["Ac3+", "Sb3+", 0.4973741913], + ["Sb3+", "Th4+", 0.360307305], + ["Th4+", "Sb3+", 0.360307305], + ["Sb3+", "Th3+", 0.3453898425], + ["Th3+", "Sb3+", 0.3453898425], + ["Sb3+", "Pa4+", 0.0540078265], + ["Pa4+", "Sb3+", 0.0540078265], + ["Sb3+", "Pa5+", 0.3844398324], + ["Pa5+", "Sb3+", 0.3844398324], + ["Sb3+", "Pa3+", 0.2355869888], + ["Pa3+", "Sb3+", 0.2355869888], + ["Sb3+", "U6+", 0.191289138], + ["U6+", "Sb3+", 0.191289138], + ["Sb3+", "U4+", 0.4778926065], + ["U4+", "Sb3+", 0.4778926065], + ["Sb3+", "U3+", 0.2987875025], + ["U3+", "Sb3+", 0.2987875025], + ["Sb3+", "U2+", 0.2301370107], + ["U2+", "Sb3+", 0.2301370107], + ["Sb3+", "U5+", 0.1375621927], + ["U5+", "Sb3+", 0.1375621927], + ["Sb3+", "Np6+", 0.2808329973], + ["Np6+", "Sb3+", 0.2808329973], + ["Sb3+", "Np4+", 0.3676603261], + ["Np4+", "Sb3+", 0.3676603261], + ["Sb3+", "Np3+", 0.4074653888], + ["Np3+", "Sb3+", 0.4074653888], + ["Sb3+", "Np7+", 0.2142076038], + ["Np7+", "Sb3+", 0.2142076038], + ["Sb3+", "Np5+", 0.5008532168], + ["Np5+", "Sb3+", 0.5008532168], + ["Sb3+", "Pu7+", 0.0141243122], + ["Pu7+", "Sb3+", 0.0141243122], + ["Sb3+", "Pu6+", 0.1891265529], + ["Pu6+", "Sb3+", 0.1891265529], + ["Sb3+", "Pu3+", 0.5381935925], + ["Pu3+", "Sb3+", 0.5381935925], + ["Sb3+", "Pu4+", 0.2914795951], + ["Pu4+", "Sb3+", 0.2914795951], + ["Sb3+", "Pu5+", 0.1621907158], + ["Pu5+", "Sb3+", 0.1621907158], + ["Sb3+", "H1+", 0.0215414545], + ["H1+", "Sb3+", 0.0215414545], + ["Sb3+", "H1-", 0.0011249225], + ["H1-", "Sb3+", 0.0011249225], + ["Sb3+", "Li1+", 0.3365042811], + ["Li1+", "Sb3+", 0.3365042811], + ["Sb3+", "B1+", 0.3202478568], + ["B1+", "Sb3+", 0.3202478568], + ["Sb3+", "B1-", -0.0256127166], + ["B1-", "Sb3+", -0.0256127166], + ["Sb3+", "C1-", 0.1490887259], + ["C1-", "Sb3+", 0.1490887259], + ["Sb3+", "C1+", 0.2646020475], + ["C1+", "Sb3+", 0.2646020475], + ["Sb3+", "N1-", 0.0998419276], + ["N1-", "Sb3+", 0.0998419276], + ["Sb3+", "N1+", 0.3055074221], + ["N1+", "Sb3+", 0.3055074221], + ["Sb3+", "O1-", 0.0970868028], + ["O1-", "Sb3+", 0.0970868028], + ["Sb3+", "F1-", 0.1528830826], + ["F1-", "Sb3+", 0.1528830826], + ["Sb3+", "Na1+", 0.3788683913], + ["Na1+", "Sb3+", 0.3788683913], + ["Sb3+", "Si1-", 0.037729854], + ["Si1-", "Sb3+", 0.037729854], + ["Sb3+", "P1+", 0.2220014605], + ["P1+", "Sb3+", 0.2220014605], + ["Sb3+", "P1-", -0.1140770541], + ["P1-", "Sb3+", -0.1140770541], + ["Sb3+", "S1-", 0.3208446058], + ["S1-", "Sb3+", 0.3208446058], + ["Sb3+", "S1+", 0.1340651411], + ["S1+", "Sb3+", 0.1340651411], + ["Sb3+", "Cl1-", 0.2047013964], + ["Cl1-", "Sb3+", 0.2047013964], + ["Sb3+", "K1+", 0.5164055961], + ["K1+", "Sb3+", 0.5164055961], + ["Sb3+", "Sc1+", 0.0636783767], + ["Sc1+", "Sb3+", 0.0636783767], + ["Sb3+", "Mn1+", -0.0438056851], + ["Mn1+", "Sb3+", -0.0438056851], + ["Sb3+", "Fe1+", -0.0865611724], + ["Fe1+", "Sb3+", -0.0865611724], + ["Sb3+", "Co1+", -0.1844616929], + ["Co1+", "Sb3+", -0.1844616929], + ["Sb3+", "Ni1+", -0.0726001892], + ["Ni1+", "Sb3+", -0.0726001892], + ["Sb3+", "Cu1+", 0.3978190862], + ["Cu1+", "Sb3+", 0.3978190862], + ["Sb3+", "Ga1+", 0.1155114267], + ["Ga1+", "Sb3+", 0.1155114267], + ["Sb3+", "As1-", 0.0806408778], + ["As1-", "Sb3+", 0.0806408778], + ["Sb3+", "As1+", 0.4090750513], + ["As1+", "Sb3+", 0.4090750513], + ["Sb3+", "Se1-", 0.293842884], + ["Se1-", "Sb3+", 0.293842884], + ["Sb3+", "Se1+", 0.1118896819], + ["Se1+", "Sb3+", 0.1118896819], + ["Sb3+", "Br1-", 0.0910965816], + ["Br1-", "Sb3+", 0.0910965816], + ["Sb3+", "Br1+", 0.1217289832], + ["Br1+", "Sb3+", 0.1217289832], + ["Sb3+", "Rb1+", 0.4952246891], + ["Rb1+", "Sb3+", 0.4952246891], + ["Sb3+", "Y1+", -0.0072228078], + ["Y1+", "Sb3+", -0.0072228078], + ["Sb3+", "Zr1+", -0.0082169756], + ["Zr1+", "Sb3+", -0.0082169756], + ["Sb3+", "Nb1+", 0.205193101], + ["Nb1+", "Sb3+", 0.205193101], + ["Sb3+", "Tc1-", 0.089902465], + ["Tc1-", "Sb3+", 0.089902465], + ["Sb3+", "Tc1+", 0.3875061367], + ["Tc1+", "Sb3+", 0.3875061367], + ["Sb3+", "Rh1+", -0.0195726423], + ["Rh1+", "Sb3+", -0.0195726423], + ["Sb3+", "Ag1+", 0.5553805427], + ["Ag1+", "Sb3+", 0.5553805427], + ["Sb3+", "In1+", 0.2905244074], + ["In1+", "Sb3+", 0.2905244074], + ["Sb3+", "Sb1-", 0.0272996034], + ["Sb1-", "Sb3+", 0.0272996034], + ["Sb3+", "Sb1+", 0.4408382413], + ["Sb1+", "Sb3+", 0.4408382413], + ["Sb3+", "Te1-", 0.347594968], + ["Te1-", "Sb3+", 0.347594968], + ["Sb3+", "Te1+", 0.3933226063], + ["Te1+", "Sb3+", 0.3933226063], + ["Sb3+", "I1-", 0.156208791], + ["I1-", "Sb3+", 0.156208791], + ["Sb3+", "I1+", 0.1407201554], + ["I1+", "Sb3+", 0.1407201554], + ["Sb3+", "Cs1+", 0.648151407], + ["Cs1+", "Sb3+", 0.648151407], + ["Sb3+", "La1+", -0.0543692578], + ["La1+", "Sb3+", -0.0543692578], + ["Sb3+", "Tb1+", -0.050219773], + ["Tb1+", "Sb3+", -0.050219773], + ["Sb3+", "Ta1+", 0.1892141763], + ["Ta1+", "Sb3+", 0.1892141763], + ["Sb3+", "Os1-", 0.3018937457], + ["Os1-", "Sb3+", 0.3018937457], + ["Sb3+", "Os1+", 0.1698559771], + ["Os1+", "Sb3+", 0.1698559771], + ["Sb3+", "Pt1-", 0.1594551922], + ["Pt1-", "Sb3+", 0.1594551922], + ["Sb3+", "Pt1+", 0.2248199981], + ["Pt1+", "Sb3+", 0.2248199981], + ["Sb3+", "Au1-", 0.0412335258], + ["Au1-", "Sb3+", 0.0412335258], + ["Sb3+", "Au1+", 0.3474713438], + ["Au1+", "Sb3+", 0.3474713438], + ["Sb3+", "Hg1+", 0.3227993293], + ["Hg1+", "Sb3+", 0.3227993293], + ["Sb3+", "Tl1+", 0.7592450182], + ["Tl1+", "Sb3+", 0.7592450182], + ["Sb3+", "Bi1+", 0.3150688845], + ["Bi1+", "Sb3+", 0.3150688845], + ["Sb4+", "Sb4+", 1.0], + ["Sb4+", "Te2-", 0.1174127432], + ["Te2-", "Sb4+", 0.1174127432], + ["Sb4+", "Te4+", 0.5160005567], + ["Te4+", "Sb4+", 0.5160005567], + ["Sb4+", "Te6+", 0.5170987085], + ["Te6+", "Sb4+", 0.5170987085], + ["Sb4+", "Te2+", 0.180262991], + ["Te2+", "Sb4+", 0.180262991], + ["Sb4+", "Te5+", 0.4266173495], + ["Te5+", "Sb4+", 0.4266173495], + ["Sb4+", "I3+", 0.34396522], + ["I3+", "Sb4+", 0.34396522], + ["Sb4+", "I7+", 0.402449925], + ["I7+", "Sb4+", 0.402449925], + ["Sb4+", "I5+", 0.5543678257], + ["I5+", "Sb4+", 0.5543678257], + ["Sb4+", "I2+", 0.3225137637], + ["I2+", "Sb4+", 0.3225137637], + ["Sb4+", "Ba2+", 0.3260276123], + ["Ba2+", "Sb4+", 0.3260276123], + ["Sb4+", "La3+", 0.2357660658], + ["La3+", "Sb4+", 0.2357660658], + ["Sb4+", "La2+", 0.1677934422], + ["La2+", "Sb4+", 0.1677934422], + ["Sb4+", "Ce3+", 0.0501445569], + ["Ce3+", "Sb4+", 0.0501445569], + ["Sb4+", "Ce2+", -0.0297525212], + ["Ce2+", "Sb4+", -0.0297525212], + ["Sb4+", "Ce4+", 0.190692639], + ["Ce4+", "Sb4+", 0.190692639], + ["Sb4+", "Pr3+", 0.1126956818], + ["Pr3+", "Sb4+", 0.1126956818], + ["Sb4+", "Pr4+", 0.1264178648], + ["Pr4+", "Sb4+", 0.1264178648], + ["Sb4+", "Pr2+", 0.188477717], + ["Pr2+", "Sb4+", 0.188477717], + ["Sb4+", "Nd3+", 0.1770033437], + ["Nd3+", "Sb4+", 0.1770033437], + ["Sb4+", "Nd2+", 0.2644479557], + ["Nd2+", "Sb4+", 0.2644479557], + ["Sb4+", "Pm3+", 0.0712294599], + ["Pm3+", "Sb4+", 0.0712294599], + ["Sb4+", "Sm3+", 0.1247263271], + ["Sm3+", "Sb4+", 0.1247263271], + ["Sb4+", "Sm2+", 0.1786910897], + ["Sm2+", "Sb4+", 0.1786910897], + ["Sb4+", "Eu2+", 0.1083505634], + ["Eu2+", "Sb4+", 0.1083505634], + ["Sb4+", "Eu3+", 0.3227376863], + ["Eu3+", "Sb4+", 0.3227376863], + ["Sb4+", "Gd2+", 0.0619604482], + ["Gd2+", "Sb4+", 0.0619604482], + ["Sb4+", "Gd3+", 0.2835176785], + ["Gd3+", "Sb4+", 0.2835176785], + ["Sb4+", "Tb3+", 0.2366893723], + ["Tb3+", "Sb4+", 0.2366893723], + ["Sb4+", "Tb2+", 0.1395549666], + ["Tb2+", "Sb4+", 0.1395549666], + ["Sb4+", "Tb4+", 0.3131284961], + ["Tb4+", "Sb4+", 0.3131284961], + ["Sb4+", "Dy3+", 0.2315363701], + ["Dy3+", "Sb4+", 0.2315363701], + ["Sb4+", "Dy2+", 0.1450953068], + ["Dy2+", "Sb4+", 0.1450953068], + ["Sb4+", "Ho3+", 0.2031609638], + ["Ho3+", "Sb4+", 0.2031609638], + ["Sb4+", "Ho2+", 0.0826007234], + ["Ho2+", "Sb4+", 0.0826007234], + ["Sb4+", "Er3+", 0.1852691772], + ["Er3+", "Sb4+", 0.1852691772], + ["Sb4+", "Tm3+", 0.2496731508], + ["Tm3+", "Sb4+", 0.2496731508], + ["Sb4+", "Tm2+", 0.0739913986], + ["Tm2+", "Sb4+", 0.0739913986], + ["Sb4+", "Yb3+", 0.2243786788], + ["Yb3+", "Sb4+", 0.2243786788], + ["Sb4+", "Yb2+", -0.073595629], + ["Yb2+", "Sb4+", -0.073595629], + ["Sb4+", "Lu3+", 0.2978520763], + ["Lu3+", "Sb4+", 0.2978520763], + ["Sb4+", "Hf3+", -0.1842485065], + ["Hf3+", "Sb4+", -0.1842485065], + ["Sb4+", "Hf2+", 0.0574141096], + ["Hf2+", "Sb4+", 0.0574141096], + ["Sb4+", "Hf4+", 0.247708311], + ["Hf4+", "Sb4+", 0.247708311], + ["Sb4+", "Ta5+", 0.3608520379], + ["Ta5+", "Sb4+", 0.3608520379], + ["Sb4+", "Ta3+", -0.0158564126], + ["Ta3+", "Sb4+", -0.0158564126], + ["Sb4+", "Ta4+", 0.0576980889], + ["Ta4+", "Sb4+", 0.0576980889], + ["Sb4+", "Ta2+", -0.0544812777], + ["Ta2+", "Sb4+", -0.0544812777], + ["Sb4+", "W6+", 0.4058753373], + ["W6+", "Sb4+", 0.4058753373], + ["Sb4+", "W4+", 0.3047543443], + ["W4+", "Sb4+", 0.3047543443], + ["Sb4+", "W2+", 0.2058143053], + ["W2+", "Sb4+", 0.2058143053], + ["Sb4+", "W3+", 0.1894341707], + ["W3+", "Sb4+", 0.1894341707], + ["Sb4+", "W5+", 0.5160203439], + ["W5+", "Sb4+", 0.5160203439], + ["Sb4+", "Re5+", 0.1856286495], + ["Re5+", "Sb4+", 0.1856286495], + ["Sb4+", "Re3+", -0.1553763611], + ["Re3+", "Sb4+", -0.1553763611], + ["Sb4+", "Re6+", 0.0710823698], + ["Re6+", "Sb4+", 0.0710823698], + ["Sb4+", "Re2+", 0.2241110177], + ["Re2+", "Sb4+", 0.2241110177], + ["Sb4+", "Re4+", 0.00612977], + ["Re4+", "Sb4+", 0.00612977], + ["Sb4+", "Re7+", 0.293159832], + ["Re7+", "Sb4+", 0.293159832], + ["Sb4+", "Os7+", 0.1470821746], + ["Os7+", "Sb4+", 0.1470821746], + ["Sb4+", "Os6+", 0.0924884239], + ["Os6+", "Sb4+", 0.0924884239], + ["Sb4+", "Os5+", 0.1098142955], + ["Os5+", "Sb4+", 0.1098142955], + ["Sb4+", "Os2-", -0.3288524033], + ["Os2-", "Sb4+", -0.3288524033], + ["Sb4+", "Os3+", 0.0186605236], + ["Os3+", "Sb4+", 0.0186605236], + ["Sb4+", "Os4+", 0.0660082801], + ["Os4+", "Sb4+", 0.0660082801], + ["Sb4+", "Os8+", 0.1790905398], + ["Os8+", "Sb4+", 0.1790905398], + ["Sb4+", "Os2+", 0.195902186], + ["Os2+", "Sb4+", 0.195902186], + ["Sb4+", "Ir3+", -0.0349334667], + ["Ir3+", "Sb4+", -0.0349334667], + ["Sb4+", "Ir4+", 0.2056742263], + ["Ir4+", "Sb4+", 0.2056742263], + ["Sb4+", "Ir5+", 0.1005275945], + ["Ir5+", "Sb4+", 0.1005275945], + ["Sb4+", "Ir6+", 0.38324443], + ["Ir6+", "Sb4+", 0.38324443], + ["Sb4+", "Pt2+", -0.1660339595], + ["Pt2+", "Sb4+", -0.1660339595], + ["Sb4+", "Pt2-", -0.3168428013], + ["Pt2-", "Sb4+", -0.3168428013], + ["Sb4+", "Pt4+", 0.3475877889], + ["Pt4+", "Sb4+", 0.3475877889], + ["Sb4+", "Pt3+", 0.2414280306], + ["Pt3+", "Sb4+", 0.2414280306], + ["Sb4+", "Pt5+", 0.1705287011], + ["Pt5+", "Sb4+", 0.1705287011], + ["Sb4+", "Pt6+", 0.2634386492], + ["Pt6+", "Sb4+", 0.2634386492], + ["Sb4+", "Au2+", 0.2585389395], + ["Au2+", "Sb4+", 0.2585389395], + ["Sb4+", "Au3+", 0.2087908525], + ["Au3+", "Sb4+", 0.2087908525], + ["Sb4+", "Au5+", 0.0732676253], + ["Au5+", "Sb4+", 0.0732676253], + ["Sb4+", "Au4+", 0.1950721515], + ["Au4+", "Sb4+", 0.1950721515], + ["Sb4+", "Hg2+", 0.1309027031], + ["Hg2+", "Sb4+", 0.1309027031], + ["Sb4+", "Tl3+", 0.4829279384], + ["Tl3+", "Sb4+", 0.4829279384], + ["Sb4+", "Tl2+", 0.2956471429], + ["Tl2+", "Sb4+", 0.2956471429], + ["Sb4+", "Pb2+", 0.3728010355], + ["Pb2+", "Sb4+", 0.3728010355], + ["Sb4+", "Pb3+", 0.4341472008], + ["Pb3+", "Sb4+", 0.4341472008], + ["Sb4+", "Pb4+", 0.3225449307], + ["Pb4+", "Sb4+", 0.3225449307], + ["Sb4+", "Bi3+", 0.4598905324], + ["Bi3+", "Sb4+", 0.4598905324], + ["Sb4+", "Bi5+", 0.5517558422], + ["Bi5+", "Sb4+", 0.5517558422], + ["Sb4+", "Bi2+", 0.3082461503], + ["Bi2+", "Sb4+", 0.3082461503], + ["Sb4+", "Bi3-", 0.0501339003], + ["Bi3-", "Sb4+", 0.0501339003], + ["Sb4+", "Bi4+", 0.3356105359], + ["Bi4+", "Sb4+", 0.3356105359], + ["Sb4+", "Ac3+", 0.1103126181], + ["Ac3+", "Sb4+", 0.1103126181], + ["Sb4+", "Th4+", 0.2311027478], + ["Th4+", "Sb4+", 0.2311027478], + ["Sb4+", "Th3+", 0.0128661907], + ["Th3+", "Sb4+", 0.0128661907], + ["Sb4+", "Pa4+", 0.145436104], + ["Pa4+", "Sb4+", 0.145436104], + ["Sb4+", "Pa5+", 0.4302590225], + ["Pa5+", "Sb4+", 0.4302590225], + ["Sb4+", "Pa3+", -0.0644293299], + ["Pa3+", "Sb4+", -0.0644293299], + ["Sb4+", "U6+", 0.4368554596], + ["U6+", "Sb4+", 0.4368554596], + ["Sb4+", "U4+", 0.0407634086], + ["U4+", "Sb4+", 0.0407634086], + ["Sb4+", "U3+", -0.0928361229], + ["U3+", "Sb4+", -0.0928361229], + ["Sb4+", "U2+", -0.1468058725], + ["U2+", "Sb4+", -0.1468058725], + ["Sb4+", "U5+", 0.3179415465], + ["U5+", "Sb4+", 0.3179415465], + ["Sb4+", "Np6+", 0.2109275443], + ["Np6+", "Sb4+", 0.2109275443], + ["Sb4+", "Np4+", 0.267124404], + ["Np4+", "Sb4+", 0.267124404], + ["Sb4+", "Np3+", 0.0161965187], + ["Np3+", "Sb4+", 0.0161965187], + ["Sb4+", "Np7+", 0.3522105684], + ["Np7+", "Sb4+", 0.3522105684], + ["Sb4+", "Np5+", 0.2053878334], + ["Np5+", "Sb4+", 0.2053878334], + ["Sb4+", "Pu7+", 0.4482456479], + ["Pu7+", "Sb4+", 0.4482456479], + ["Sb4+", "Pu6+", 0.1354798368], + ["Pu6+", "Sb4+", 0.1354798368], + ["Sb4+", "Pu3+", 0.0905247765], + ["Pu3+", "Sb4+", 0.0905247765], + ["Sb4+", "Pu4+", 0.4079860957], + ["Pu4+", "Sb4+", 0.4079860957], + ["Sb4+", "Pu5+", 0.3709112284], + ["Pu5+", "Sb4+", 0.3709112284], + ["Sb4+", "H1+", 0.396365587], + ["H1+", "Sb4+", 0.396365587], + ["Sb4+", "H1-", -0.1024954475], + ["H1-", "Sb4+", -0.1024954475], + ["Sb4+", "Li1+", 0.4648720158], + ["Li1+", "Sb4+", 0.4648720158], + ["Sb4+", "B1+", 0.3262324609], + ["B1+", "Sb4+", 0.3262324609], + ["Sb4+", "B1-", 0.0345352272], + ["B1-", "Sb4+", 0.0345352272], + ["Sb4+", "C1-", -0.0255798625], + ["C1-", "Sb4+", -0.0255798625], + ["Sb4+", "C1+", 0.2039992328], + ["C1+", "Sb4+", 0.2039992328], + ["Sb4+", "N1-", 0.1208296499], + ["N1-", "Sb4+", 0.1208296499], + ["Sb4+", "N1+", 0.3252348041], + ["N1+", "Sb4+", 0.3252348041], + ["Sb4+", "O1-", 0.2680429265], + ["O1-", "Sb4+", 0.2680429265], + ["Sb4+", "F1-", 0.1431506917], + ["F1-", "Sb4+", 0.1431506917], + ["Sb4+", "Na1+", 0.5097464464], + ["Na1+", "Sb4+", 0.5097464464], + ["Sb4+", "Si1-", -0.0048333221], + ["Si1-", "Sb4+", -0.0048333221], + ["Sb4+", "P1+", 0.0031116932], + ["P1+", "Sb4+", 0.0031116932], + ["Sb4+", "P1-", -0.075413487], + ["P1-", "Sb4+", -0.075413487], + ["Sb4+", "S1-", 0.0306874621], + ["S1-", "Sb4+", 0.0306874621], + ["Sb4+", "S1+", 0.0625670201], + ["S1+", "Sb4+", 0.0625670201], + ["Sb4+", "Cl1-", 0.2116067061], + ["Cl1-", "Sb4+", 0.2116067061], + ["Sb4+", "K1+", 0.357432027], + ["K1+", "Sb4+", 0.357432027], + ["Sb4+", "Sc1+", 0.0446984561], + ["Sc1+", "Sb4+", 0.0446984561], + ["Sb4+", "Mn1+", 0.2251337142], + ["Mn1+", "Sb4+", 0.2251337142], + ["Sb4+", "Fe1+", -0.1771478007], + ["Fe1+", "Sb4+", -0.1771478007], + ["Sb4+", "Co1+", -0.1795392003], + ["Co1+", "Sb4+", -0.1795392003], + ["Sb4+", "Ni1+", -0.2358490175], + ["Ni1+", "Sb4+", -0.2358490175], + ["Sb4+", "Cu1+", 0.0066158311], + ["Cu1+", "Sb4+", 0.0066158311], + ["Sb4+", "Ga1+", -0.0033148385], + ["Ga1+", "Sb4+", -0.0033148385], + ["Sb4+", "As1-", -0.0096367531], + ["As1-", "Sb4+", -0.0096367531], + ["Sb4+", "As1+", 0.0349517729], + ["As1+", "Sb4+", 0.0349517729], + ["Sb4+", "Se1-", 0.1802943392], + ["Se1-", "Sb4+", 0.1802943392], + ["Sb4+", "Se1+", 0.2693156015], + ["Se1+", "Sb4+", 0.2693156015], + ["Sb4+", "Br1-", 0.2163944608], + ["Br1-", "Sb4+", 0.2163944608], + ["Sb4+", "Br1+", 0.1310140078], + ["Br1+", "Sb4+", 0.1310140078], + ["Sb4+", "Rb1+", 0.3318429006], + ["Rb1+", "Sb4+", 0.3318429006], + ["Sb4+", "Y1+", 0.1947690161], + ["Y1+", "Sb4+", 0.1947690161], + ["Sb4+", "Zr1+", -0.1860121222], + ["Zr1+", "Sb4+", -0.1860121222], + ["Sb4+", "Nb1+", -0.0738003555], + ["Nb1+", "Sb4+", -0.0738003555], + ["Sb4+", "Tc1-", -0.1823003334], + ["Tc1-", "Sb4+", -0.1823003334], + ["Sb4+", "Tc1+", 0.0070719248], + ["Tc1+", "Sb4+", 0.0070719248], + ["Sb4+", "Rh1+", -0.1676938098], + ["Rh1+", "Sb4+", -0.1676938098], + ["Sb4+", "Ag1+", 0.1886164958], + ["Ag1+", "Sb4+", 0.1886164958], + ["Sb4+", "In1+", 0.0199933592], + ["In1+", "Sb4+", 0.0199933592], + ["Sb4+", "Sb1-", -0.0359841659], + ["Sb1-", "Sb4+", -0.0359841659], + ["Sb4+", "Sb1+", 0.1660108795], + ["Sb1+", "Sb4+", 0.1660108795], + ["Sb4+", "Te1-", 0.15577128], + ["Te1-", "Sb4+", 0.15577128], + ["Sb4+", "Te1+", 0.0835674684], + ["Te1+", "Sb4+", 0.0835674684], + ["Sb4+", "I1-", 0.1856713889], + ["I1-", "Sb4+", 0.1856713889], + ["Sb4+", "I1+", 0.2114765207], + ["I1+", "Sb4+", 0.2114765207], + ["Sb4+", "Cs1+", 0.2767750422], + ["Cs1+", "Sb4+", 0.2767750422], + ["Sb4+", "La1+", 0.0483887079], + ["La1+", "Sb4+", 0.0483887079], + ["Sb4+", "Tb1+", 0.0696784382], + ["Tb1+", "Sb4+", 0.0696784382], + ["Sb4+", "Ta1+", -0.2486691272], + ["Ta1+", "Sb4+", -0.2486691272], + ["Sb4+", "Os1-", -0.1844706656], + ["Os1-", "Sb4+", -0.1844706656], + ["Sb4+", "Os1+", 0.2028326126], + ["Os1+", "Sb4+", 0.2028326126], + ["Sb4+", "Pt1-", -0.1916296151], + ["Pt1-", "Sb4+", -0.1916296151], + ["Sb4+", "Pt1+", 0.1244120073], + ["Pt1+", "Sb4+", 0.1244120073], + ["Sb4+", "Au1-", -0.1010640772], + ["Au1-", "Sb4+", -0.1010640772], + ["Sb4+", "Au1+", -0.0731891241], + ["Au1+", "Sb4+", -0.0731891241], + ["Sb4+", "Hg1+", 0.5433142189], + ["Hg1+", "Sb4+", 0.5433142189], + ["Sb4+", "Tl1+", 0.2774809496], + ["Tl1+", "Sb4+", 0.2774809496], + ["Sb4+", "Bi1+", 0.1510937386], + ["Bi1+", "Sb4+", 0.1510937386], + ["Te2-", "Te2-", 1.0], + ["Te2-", "Te4+", 0.0349725946], + ["Te4+", "Te2-", 0.0349725946], + ["Te2-", "Te6+", -0.0957091951], + ["Te6+", "Te2-", -0.0957091951], + ["Te2-", "Te2+", 0.0702551684], + ["Te2+", "Te2-", 0.0702551684], + ["Te2-", "Te5+", 0.0416376017], + ["Te5+", "Te2-", 0.0416376017], + ["Te2-", "I3+", 0.108858107], + ["I3+", "Te2-", 0.108858107], + ["Te2-", "I7+", 0.0796075635], + ["I7+", "Te2-", 0.0796075635], + ["Te2-", "I5+", 0.1505739336], + ["I5+", "Te2-", 0.1505739336], + ["Te2-", "I2+", 0.3140231031], + ["I2+", "Te2-", 0.3140231031], + ["Te2-", "Ba2+", 0.1173248775], + ["Ba2+", "Te2-", 0.1173248775], + ["Te2-", "La3+", 0.1248148725], + ["La3+", "Te2-", 0.1248148725], + ["Te2-", "La2+", -0.0461293591], + ["La2+", "Te2-", -0.0461293591], + ["Te2-", "Ce3+", 0.2128672305], + ["Ce3+", "Te2-", 0.2128672305], + ["Te2-", "Ce2+", -0.0019421838], + ["Ce2+", "Te2-", -0.0019421838], + ["Te2-", "Ce4+", -0.001912837], + ["Ce4+", "Te2-", -0.001912837], + ["Te2-", "Pr3+", 0.1007033502], + ["Pr3+", "Te2-", 0.1007033502], + ["Te2-", "Pr4+", 0.0309930591], + ["Pr4+", "Te2-", 0.0309930591], + ["Te2-", "Pr2+", -0.0445026852], + ["Pr2+", "Te2-", -0.0445026852], + ["Te2-", "Nd3+", 0.0156130007], + ["Nd3+", "Te2-", 0.0156130007], + ["Te2-", "Nd2+", 0.0665325662], + ["Nd2+", "Te2-", 0.0665325662], + ["Te2-", "Pm3+", 0.0851593908], + ["Pm3+", "Te2-", 0.0851593908], + ["Te2-", "Sm3+", 0.0459087929], + ["Sm3+", "Te2-", 0.0459087929], + ["Te2-", "Sm2+", 0.1221636335], + ["Sm2+", "Te2-", 0.1221636335], + ["Te2-", "Eu2+", 0.0942924398], + ["Eu2+", "Te2-", 0.0942924398], + ["Te2-", "Eu3+", 0.1810880404], + ["Eu3+", "Te2-", 0.1810880404], + ["Te2-", "Gd2+", -0.0557250976], + ["Gd2+", "Te2-", -0.0557250976], + ["Te2-", "Gd3+", 0.072169304], + ["Gd3+", "Te2-", 0.072169304], + ["Te2-", "Tb3+", 0.1287413281], + ["Tb3+", "Te2-", 0.1287413281], + ["Te2-", "Tb2+", -0.0474095262], + ["Tb2+", "Te2-", -0.0474095262], + ["Te2-", "Tb4+", 0.1015203429], + ["Tb4+", "Te2-", 0.1015203429], + ["Te2-", "Dy3+", 0.0790474952], + ["Dy3+", "Te2-", 0.0790474952], + ["Te2-", "Dy2+", 0.1310681206], + ["Dy2+", "Te2-", 0.1310681206], + ["Te2-", "Ho3+", 0.1105086054], + ["Ho3+", "Te2-", 0.1105086054], + ["Te2-", "Ho2+", 0.1048221649], + ["Ho2+", "Te2-", 0.1048221649], + ["Te2-", "Er3+", 0.1615731603], + ["Er3+", "Te2-", 0.1615731603], + ["Te2-", "Tm3+", 0.178208291], + ["Tm3+", "Te2-", 0.178208291], + ["Te2-", "Tm2+", 0.1845092038], + ["Tm2+", "Te2-", 0.1845092038], + ["Te2-", "Yb3+", 0.1614923184], + ["Yb3+", "Te2-", 0.1614923184], + ["Te2-", "Yb2+", 0.0673696587], + ["Yb2+", "Te2-", 0.0673696587], + ["Te2-", "Lu3+", 0.0587533996], + ["Lu3+", "Te2-", 0.0587533996], + ["Te2-", "Hf3+", -0.057706067], + ["Hf3+", "Te2-", -0.057706067], + ["Te2-", "Hf2+", -0.0644120661], + ["Hf2+", "Te2-", -0.0644120661], + ["Te2-", "Hf4+", 0.1668700389], + ["Hf4+", "Te2-", 0.1668700389], + ["Te2-", "Ta5+", 0.2370774667], + ["Ta5+", "Te2-", 0.2370774667], + ["Te2-", "Ta3+", 0.1033296943], + ["Ta3+", "Te2-", 0.1033296943], + ["Te2-", "Ta4+", 0.1960884788], + ["Ta4+", "Te2-", 0.1960884788], + ["Te2-", "Ta2+", 0.1051083244], + ["Ta2+", "Te2-", 0.1051083244], + ["Te2-", "W6+", 0.0937070393], + ["W6+", "Te2-", 0.0937070393], + ["Te2-", "W4+", 0.1254813363], + ["W4+", "Te2-", 0.1254813363], + ["Te2-", "W2+", 0.1721414887], + ["W2+", "Te2-", 0.1721414887], + ["Te2-", "W3+", 0.169838779], + ["W3+", "Te2-", 0.169838779], + ["Te2-", "W5+", 0.037044966], + ["W5+", "Te2-", 0.037044966], + ["Te2-", "Re5+", 0.3286306314], + ["Re5+", "Te2-", 0.3286306314], + ["Te2-", "Re3+", 0.107708009], + ["Re3+", "Te2-", 0.107708009], + ["Te2-", "Re6+", 0.1917658276], + ["Re6+", "Te2-", 0.1917658276], + ["Te2-", "Re2+", 0.2441851506], + ["Re2+", "Te2-", 0.2441851506], + ["Te2-", "Re4+", 0.2234858686], + ["Re4+", "Te2-", 0.2234858686], + ["Te2-", "Re7+", 0.2411650667], + ["Re7+", "Te2-", 0.2411650667], + ["Te2-", "Os7+", 0.0461807607], + ["Os7+", "Te2-", 0.0461807607], + ["Te2-", "Os6+", 0.3261396054], + ["Os6+", "Te2-", 0.3261396054], + ["Te2-", "Os5+", 0.0924052], + ["Os5+", "Te2-", 0.0924052], + ["Te2-", "Os2-", -0.0909461482], + ["Os2-", "Te2-", -0.0909461482], + ["Te2-", "Os3+", 0.1342402302], + ["Os3+", "Te2-", 0.1342402302], + ["Te2-", "Os4+", 0.2347291979], + ["Os4+", "Te2-", 0.2347291979], + ["Te2-", "Os8+", 0.1712830977], + ["Os8+", "Te2-", 0.1712830977], + ["Te2-", "Os2+", 0.0753932414], + ["Os2+", "Te2-", 0.0753932414], + ["Te2-", "Ir3+", 0.1186311016], + ["Ir3+", "Te2-", 0.1186311016], + ["Te2-", "Ir4+", 0.1911717721], + ["Ir4+", "Te2-", 0.1911717721], + ["Te2-", "Ir5+", 0.1026980783], + ["Ir5+", "Te2-", 0.1026980783], + ["Te2-", "Ir6+", 0.127786398], + ["Ir6+", "Te2-", 0.127786398], + ["Te2-", "Pt2+", 0.2478412675], + ["Pt2+", "Te2-", 0.2478412675], + ["Te2-", "Pt2-", 0.213390915], + ["Pt2-", "Te2-", 0.213390915], + ["Te2-", "Pt4+", 0.0501671176], + ["Pt4+", "Te2-", 0.0501671176], + ["Te2-", "Pt3+", 0.140931889], + ["Pt3+", "Te2-", 0.140931889], + ["Te2-", "Pt5+", 0.0241208536], + ["Pt5+", "Te2-", 0.0241208536], + ["Te2-", "Pt6+", 0.0773887158], + 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0.0664590742], + ["Er3+", "K1+", 0.2857989728], + ["K1+", "Er3+", 0.2857989728], + ["Er3+", "Sc1+", 0.2890919694], + ["Sc1+", "Er3+", 0.2890919694], + ["Er3+", "Mn1+", 0.4333022694], + ["Mn1+", "Er3+", 0.4333022694], + ["Er3+", "Fe1+", 0.1725867674], + ["Fe1+", "Er3+", 0.1725867674], + ["Er3+", "Co1+", 0.1876370535], + ["Co1+", "Er3+", 0.1876370535], + ["Er3+", "Ni1+", 0.3238764131], + ["Ni1+", "Er3+", 0.3238764131], + ["Er3+", "Cu1+", 0.459371895], + ["Cu1+", "Er3+", 0.459371895], + ["Er3+", "Ga1+", 0.2097480296], + ["Ga1+", "Er3+", 0.2097480296], + ["Er3+", "As1-", 0.1235233346], + ["As1-", "Er3+", 0.1235233346], + ["Er3+", "As1+", 0.3524144132], + ["As1+", "Er3+", 0.3524144132], + ["Er3+", "Se1-", -0.0061016854], + ["Se1-", "Er3+", -0.0061016854], + ["Er3+", "Se1+", 0.0165970026], + ["Se1+", "Er3+", 0.0165970026], + ["Er3+", "Br1-", 0.0321329706], + ["Br1-", "Er3+", 0.0321329706], + ["Er3+", "Br1+", 0.0554101241], + ["Br1+", "Er3+", 0.0554101241], + ["Er3+", "Rb1+", 0.2080979041], + ["Rb1+", "Er3+", 0.2080979041], + ["Er3+", "Y1+", 0.3559322587], + ["Y1+", "Er3+", 0.3559322587], + ["Er3+", "Zr1+", 0.3728464013], + ["Zr1+", "Er3+", 0.3728464013], + ["Er3+", "Nb1+", 0.4136328126], + ["Nb1+", "Er3+", 0.4136328126], + ["Er3+", "Tc1-", 0.059862499], + ["Tc1-", "Er3+", 0.059862499], + ["Er3+", "Tc1+", 0.184993413], + ["Tc1+", "Er3+", 0.184993413], + ["Er3+", "Rh1+", 0.4119045364], + ["Rh1+", "Er3+", 0.4119045364], + ["Er3+", "Ag1+", 0.4796120774], + ["Ag1+", "Er3+", 0.4796120774], + ["Er3+", "In1+", 0.1899999887], + ["In1+", "Er3+", 0.1899999887], + ["Er3+", "Sb1-", -0.1164477397], + ["Sb1-", "Er3+", -0.1164477397], + ["Er3+", "Sb1+", 0.1933718986], + ["Sb1+", "Er3+", 0.1933718986], + ["Er3+", "Te1-", 0.1111603884], + ["Te1-", "Er3+", 0.1111603884], + ["Er3+", "Te1+", 0.0227302364], + ["Te1+", "Er3+", 0.0227302364], + ["Er3+", "I1-", 0.0463946918], + ["I1-", "Er3+", 0.0463946918], + ["Er3+", "I1+", -0.0266310982], + ["I1+", "Er3+", -0.0266310982], + ["Er3+", "Cs1+", 0.2535167177], + ["Cs1+", "Er3+", 0.2535167177], + ["Er3+", "La1+", 0.2644667195], + ["La1+", "Er3+", 0.2644667195], + ["Er3+", "Tb1+", 0.2179993518], + ["Tb1+", "Er3+", 0.2179993518], + ["Er3+", "Ta1+", 0.4155394586], + ["Ta1+", "Er3+", 0.4155394586], + ["Er3+", "Os1-", 0.2282897787], + ["Os1-", "Er3+", 0.2282897787], + ["Er3+", "Os1+", -0.0671472372], + ["Os1+", "Er3+", -0.0671472372], + ["Er3+", "Pt1-", 0.1761260499], + ["Pt1-", "Er3+", 0.1761260499], + ["Er3+", "Pt1+", 0.2991030352], + ["Pt1+", "Er3+", 0.2991030352], + ["Er3+", "Au1-", -0.0366827712], + ["Au1-", "Er3+", -0.0366827712], + ["Er3+", "Au1+", 0.1882773167], + ["Au1+", "Er3+", 0.1882773167], + ["Er3+", "Hg1+", 0.1136026326], + ["Hg1+", "Er3+", 0.1136026326], + ["Er3+", "Tl1+", 0.3548576275], + ["Tl1+", "Er3+", 0.3548576275], + ["Er3+", "Bi1+", 0.1169227963], + ["Bi1+", "Er3+", 0.1169227963], + ["Tm3+", "Tm3+", 1.0], + ["Tm3+", "Tm2+", 0.3468793269], + ["Tm2+", "Tm3+", 0.3468793269], + ["Tm3+", "Yb3+", 0.6068998563], + 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0.3512831604], + ["Re5+", "Tm3+", 0.3512831604], + ["Tm3+", "Re3+", 0.2782884974], + ["Re3+", "Tm3+", 0.2782884974], + ["Tm3+", "Re6+", -0.005734785], + ["Re6+", "Tm3+", -0.005734785], + ["Tm3+", "Re2+", 0.1525762131], + ["Re2+", "Tm3+", 0.1525762131], + ["Tm3+", "Re4+", 0.2701206295], + ["Re4+", "Tm3+", 0.2701206295], + ["Tm3+", "Re7+", 0.3861741778], + ["Re7+", "Tm3+", 0.3861741778], + ["Tm3+", "Os7+", 0.0021271469], + ["Os7+", "Tm3+", 0.0021271469], + ["Tm3+", "Os6+", 0.109933876], + ["Os6+", "Tm3+", 0.109933876], + ["Tm3+", "Os5+", 0.1297487125], + ["Os5+", "Tm3+", 0.1297487125], + ["Tm3+", "Os2-", 0.0510009135], + ["Os2-", "Tm3+", 0.0510009135], + ["Tm3+", "Os3+", -0.0817250529], + ["Os3+", "Tm3+", -0.0817250529], + ["Tm3+", "Os4+", 0.2060701823], + ["Os4+", "Tm3+", 0.2060701823], + ["Tm3+", "Os8+", 0.1123475201], + ["Os8+", "Tm3+", 0.1123475201], + ["Tm3+", "Os2+", 0.3116876346], + ["Os2+", "Tm3+", 0.3116876346], + ["Tm3+", "Ir3+", 0.0699406708], + ["Ir3+", "Tm3+", 0.0699406708], + ["Tm3+", "Ir4+", 0.3483981939], + ["Ir4+", "Tm3+", 0.3483981939], + ["Tm3+", "Ir5+", 0.2175730619], + ["Ir5+", "Tm3+", 0.2175730619], + ["Tm3+", "Ir6+", 0.1877884884], + ["Ir6+", "Tm3+", 0.1877884884], + ["Tm3+", "Pt2+", 0.2173594955], + ["Pt2+", "Tm3+", 0.2173594955], + ["Tm3+", "Pt2-", 0.0270808015], + ["Pt2-", "Tm3+", 0.0270808015], + ["Tm3+", "Pt4+", 0.135260088], + ["Pt4+", "Tm3+", 0.135260088], + ["Tm3+", "Pt3+", 0.3841018834], + ["Pt3+", "Tm3+", 0.3841018834], + ["Tm3+", "Pt5+", 0.1966699001], + ["Pt5+", "Tm3+", 0.1966699001], + ["Tm3+", "Pt6+", -0.0619775058], + ["Pt6+", "Tm3+", -0.0619775058], + ["Tm3+", "Au2+", 0.2544004168], + ["Au2+", "Tm3+", 0.2544004168], + ["Tm3+", "Au3+", 0.1064083133], + ["Au3+", "Tm3+", 0.1064083133], + ["Tm3+", "Au5+", 0.283732657], + ["Au5+", "Tm3+", 0.283732657], + ["Tm3+", "Au4+", -0.0168035929], + ["Au4+", "Tm3+", -0.0168035929], + ["Tm3+", "Hg2+", 0.3519367799], + ["Hg2+", "Tm3+", 0.3519367799], + ["Tm3+", "Tl3+", 0.3594652789], + ["Tl3+", 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0.3083639134], + ["Pa3+", "Tm3+", 0.3083639134], + ["Tm3+", "U6+", 0.3781622932], + ["U6+", "Tm3+", 0.3781622932], + ["Tm3+", "U4+", 0.424968875], + ["U4+", "Tm3+", 0.424968875], + ["Tm3+", "U3+", 0.2930070889], + ["U3+", "Tm3+", 0.2930070889], + ["Tm3+", "U2+", 0.294677317], + ["U2+", "Tm3+", 0.294677317], + ["Tm3+", "U5+", 0.2779248061], + ["U5+", "Tm3+", 0.2779248061], + ["Tm3+", "Np6+", 0.3099349976], + ["Np6+", "Tm3+", 0.3099349976], + ["Tm3+", "Np4+", 0.1364998253], + ["Np4+", "Tm3+", 0.1364998253], + ["Tm3+", "Np3+", 0.4907361311], + ["Np3+", "Tm3+", 0.4907361311], + ["Tm3+", "Np7+", 0.3233058936], + ["Np7+", "Tm3+", 0.3233058936], + ["Tm3+", "Np5+", 0.5705013048], + ["Np5+", "Tm3+", 0.5705013048], + ["Tm3+", "Pu7+", 0.3507582294], + ["Pu7+", "Tm3+", 0.3507582294], + ["Tm3+", "Pu6+", 0.3387453808], + ["Pu6+", "Tm3+", 0.3387453808], + ["Tm3+", "Pu3+", 0.5063123231], + ["Pu3+", "Tm3+", 0.5063123231], + ["Tm3+", "Pu4+", 0.2872871013], + ["Pu4+", "Tm3+", 0.2872871013], + ["Tm3+", 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0.0005885448], + ["Os7+", "Se1-", 0.037868451], + ["Se1-", "Os7+", 0.037868451], + ["Os7+", "Se1+", 0.0926722083], + ["Se1+", "Os7+", 0.0926722083], + ["Os7+", "Br1-", 0.1203390153], + ["Br1-", "Os7+", 0.1203390153], + ["Os7+", "Br1+", 0.4520640938], + ["Br1+", "Os7+", 0.4520640938], + ["Os7+", "Rb1+", 0.2002745432], + ["Rb1+", "Os7+", 0.2002745432], + ["Os7+", "Y1+", 0.0146027514], + ["Y1+", "Os7+", 0.0146027514], + ["Os7+", "Zr1+", -0.16480182], + ["Zr1+", "Os7+", -0.16480182], + ["Os7+", "Nb1+", -0.0575008641], + ["Nb1+", "Os7+", -0.0575008641], + ["Os7+", "Tc1-", -0.122372603], + ["Tc1-", "Os7+", -0.122372603], + ["Os7+", "Tc1+", 0.0880612614], + ["Tc1+", "Os7+", 0.0880612614], + ["Os7+", "Rh1+", -0.2165248663], + ["Rh1+", "Os7+", -0.2165248663], + ["Os7+", "Ag1+", 0.0505637636], + ["Ag1+", "Os7+", 0.0505637636], + ["Os7+", "In1+", -0.0056510289], + ["In1+", "Os7+", -0.0056510289], + ["Os7+", "Sb1-", 0.0035254466], + ["Sb1-", "Os7+", 0.0035254466], + ["Os7+", "Sb1+", 0.2416231569], 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0.2088787328], + ["Os6+", "Y1+", 0.0315720907], + ["Y1+", "Os6+", 0.0315720907], + ["Os6+", "Zr1+", 0.0104587514], + ["Zr1+", "Os6+", 0.0104587514], + ["Os6+", "Nb1+", 0.1699200272], + ["Nb1+", "Os6+", 0.1699200272], + ["Os6+", "Tc1-", 0.1093085891], + ["Tc1-", "Os6+", 0.1093085891], + ["Os6+", "Tc1+", 0.0072987587], + ["Tc1+", "Os6+", 0.0072987587], + ["Os6+", "Rh1+", 0.0019608056], + ["Rh1+", "Os6+", 0.0019608056], + ["Os6+", "Ag1+", 0.0995225504], + ["Ag1+", "Os6+", 0.0995225504], + ["Os6+", "In1+", 0.2102159423], + ["In1+", "Os6+", 0.2102159423], + ["Os6+", "Sb1-", -0.0892775812], + ["Sb1-", "Os6+", -0.0892775812], + ["Os6+", "Sb1+", 0.2365985503], + ["Sb1+", "Os6+", 0.2365985503], + ["Os6+", "Te1-", 0.1881487141], + ["Te1-", "Os6+", 0.1881487141], + ["Os6+", "Te1+", 0.2027804176], + ["Te1+", "Os6+", 0.2027804176], + ["Os6+", "I1-", -0.0326573878], + ["I1-", "Os6+", -0.0326573878], + ["Os6+", "I1+", 0.5112822615], + ["I1+", "Os6+", 0.5112822615], + ["Os6+", "Cs1+", 0.174218868], + 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0.2517751346], + ["Th4+", "Os5+", 0.2517751346], + ["Os5+", "Th3+", 0.1587838518], + ["Th3+", "Os5+", 0.1587838518], + ["Os5+", "Pa4+", 0.0454854911], + ["Pa4+", "Os5+", 0.0454854911], + ["Os5+", "Pa5+", 0.1032203798], + ["Pa5+", "Os5+", 0.1032203798], + ["Os5+", "Pa3+", 0.0624204646], + ["Pa3+", "Os5+", 0.0624204646], + ["Os5+", "U6+", 0.1069765843], + ["U6+", "Os5+", 0.1069765843], + ["Os5+", "U4+", 0.1644737426], + ["U4+", "Os5+", 0.1644737426], + ["Os5+", "U3+", 0.1731550025], + ["U3+", "Os5+", 0.1731550025], + ["Os5+", "U2+", 0.0954047142], + ["U2+", "Os5+", 0.0954047142], + ["Os5+", "U5+", 0.1701603202], + ["U5+", "Os5+", 0.1701603202], + ["Os5+", "Np6+", 0.322993819], + ["Np6+", "Os5+", 0.322993819], + ["Os5+", "Np4+", 0.2034859581], + ["Np4+", "Os5+", 0.2034859581], + ["Os5+", "Np3+", 0.117733961], + ["Np3+", "Os5+", 0.117733961], + ["Os5+", "Np7+", 0.1996603982], + ["Np7+", "Os5+", 0.1996603982], + ["Os5+", "Np5+", 0.3617015581], + ["Np5+", "Os5+", 0.3617015581], + ["Os5+", 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["S1-", "Os8+", 0.0766794887], + ["Os8+", "S1+", 0.1385210067], + ["S1+", "Os8+", 0.1385210067], + ["Os8+", "Cl1-", 0.1380746239], + ["Cl1-", "Os8+", 0.1380746239], + ["Os8+", "K1+", 0.1689115962], + ["K1+", "Os8+", 0.1689115962], + ["Os8+", "Sc1+", 0.1357489098], + ["Sc1+", "Os8+", 0.1357489098], + ["Os8+", "Mn1+", 0.0356506632], + ["Mn1+", "Os8+", 0.0356506632], + ["Os8+", "Fe1+", -0.072637477], + ["Fe1+", "Os8+", -0.072637477], + ["Os8+", "Co1+", 0.0236697876], + ["Co1+", "Os8+", 0.0236697876], + ["Os8+", "Ni1+", -0.0507979264], + ["Ni1+", "Os8+", -0.0507979264], + ["Os8+", "Cu1+", 0.0858843158], + ["Cu1+", "Os8+", 0.0858843158], + ["Os8+", "Ga1+", 0.1924352083], + ["Ga1+", "Os8+", 0.1924352083], + ["Os8+", "As1-", -0.008247486], + ["As1-", "Os8+", -0.008247486], + ["Os8+", "As1+", 0.0800091996], + ["As1+", "Os8+", 0.0800091996], + ["Os8+", "Se1-", 0.0687445532], + ["Se1-", "Os8+", 0.0687445532], + ["Os8+", "Se1+", 0.2635376027], + ["Se1+", "Os8+", 0.2635376027], + ["Os8+", "Br1-", 0.0877790264], + ["Br1-", "Os8+", 0.0877790264], + ["Os8+", "Br1+", 0.284602635], + ["Br1+", "Os8+", 0.284602635], + ["Os8+", "Rb1+", 0.2944051805], + ["Rb1+", "Os8+", 0.2944051805], + ["Os8+", "Y1+", -0.138769348], + ["Y1+", "Os8+", -0.138769348], + ["Os8+", "Zr1+", -0.1168375789], + ["Zr1+", "Os8+", -0.1168375789], + ["Os8+", "Nb1+", 0.0930184226], + ["Nb1+", "Os8+", 0.0930184226], + ["Os8+", "Tc1-", 0.1256562909], + ["Tc1-", "Os8+", 0.1256562909], + ["Os8+", "Tc1+", 0.1975124374], + ["Tc1+", "Os8+", 0.1975124374], + ["Os8+", "Rh1+", 0.0958293814], + ["Rh1+", "Os8+", 0.0958293814], + ["Os8+", "Ag1+", 0.1937823382], + ["Ag1+", "Os8+", 0.1937823382], + ["Os8+", "In1+", 0.1903058228], + ["In1+", "Os8+", 0.1903058228], + ["Os8+", "Sb1-", 0.1082807396], + ["Sb1-", "Os8+", 0.1082807396], + ["Os8+", "Sb1+", 0.0831961173], + ["Sb1+", "Os8+", 0.0831961173], + ["Os8+", "Te1-", 0.1199370651], + ["Te1-", "Os8+", 0.1199370651], + ["Os8+", "Te1+", 0.3847283492], + ["Te1+", "Os8+", 0.3847283492], + ["Os8+", "I1-", -0.0248958052], + ["I1-", "Os8+", -0.0248958052], + ["Os8+", "I1+", 0.2904912599], + ["I1+", "Os8+", 0.2904912599], + ["Os8+", "Cs1+", 0.2056987854], + ["Cs1+", "Os8+", 0.2056987854], + ["Os8+", "La1+", 0.0056256635], + ["La1+", "Os8+", 0.0056256635], + ["Os8+", "Tb1+", 0.064818459], + ["Tb1+", "Os8+", 0.064818459], + ["Os8+", "Ta1+", -0.0395956048], + ["Ta1+", "Os8+", -0.0395956048], + ["Os8+", "Os1-", 0.0688362067], + ["Os1-", "Os8+", 0.0688362067], + ["Os8+", "Os1+", 0.4049697913], + ["Os1+", "Os8+", 0.4049697913], + ["Os8+", "Pt1-", -0.0573473059], + ["Pt1-", "Os8+", -0.0573473059], + ["Os8+", "Pt1+", 0.2270679878], + ["Pt1+", "Os8+", 0.2270679878], + ["Os8+", "Au1-", 0.1016757881], + ["Au1-", "Os8+", 0.1016757881], + ["Os8+", "Au1+", 0.310782187], + ["Au1+", "Os8+", 0.310782187], + ["Os8+", "Hg1+", 0.2989057668], + ["Hg1+", "Os8+", 0.2989057668], + ["Os8+", "Tl1+", 0.2429876884], + ["Tl1+", "Os8+", 0.2429876884], + ["Os8+", "Bi1+", 0.0224490606], + ["Bi1+", "Os8+", 0.0224490606], + ["Os2+", "Os2+", 1.0], + ["Os2+", "Ir3+", 0.0166692806], + ["Ir3+", "Os2+", 0.0166692806], + ["Os2+", "Ir4+", 0.2138732548], + ["Ir4+", "Os2+", 0.2138732548], + ["Os2+", "Ir5+", 0.2738101858], + ["Ir5+", "Os2+", 0.2738101858], + ["Os2+", "Ir6+", 0.2178638743], + ["Ir6+", "Os2+", 0.2178638743], + ["Os2+", "Pt2+", 0.2055943531], + ["Pt2+", "Os2+", 0.2055943531], + ["Os2+", "Pt2-", -0.0858376324], + ["Pt2-", "Os2+", -0.0858376324], + ["Os2+", "Pt4+", 0.1250032703], + ["Pt4+", "Os2+", 0.1250032703], + ["Os2+", "Pt3+", 0.215881287], + ["Pt3+", "Os2+", 0.215881287], + ["Os2+", "Pt5+", 0.1667029299], + ["Pt5+", "Os2+", 0.1667029299], + ["Os2+", "Pt6+", 0.2014486377], + ["Pt6+", "Os2+", 0.2014486377], + ["Os2+", "Au2+", 0.1886839776], + ["Au2+", "Os2+", 0.1886839776], + ["Os2+", "Au3+", 0.198854366], + ["Au3+", "Os2+", 0.198854366], + ["Os2+", "Au5+", 0.1394632631], + ["Au5+", "Os2+", 0.1394632631], + ["Os2+", "Au4+", -0.0577185798], + ["Au4+", "Os2+", -0.0577185798], + ["Os2+", "Hg2+", 0.2909518934], + ["Hg2+", "Os2+", 0.2909518934], + ["Os2+", "Tl3+", 0.2795578594], + ["Tl3+", "Os2+", 0.2795578594], + ["Os2+", "Tl2+", 0.0824896024], + ["Tl2+", "Os2+", 0.0824896024], + ["Os2+", "Pb2+", 0.164564657], + ["Pb2+", "Os2+", 0.164564657], + ["Os2+", "Pb3+", 0.1833858813], + ["Pb3+", "Os2+", 0.1833858813], + ["Os2+", "Pb4+", 0.2150707043], + ["Pb4+", "Os2+", 0.2150707043], + ["Os2+", "Bi3+", 0.2230059072], + ["Bi3+", "Os2+", 0.2230059072], + ["Os2+", "Bi5+", 0.1141622645], + ["Bi5+", "Os2+", 0.1141622645], + ["Os2+", "Bi2+", 0.2374081091], + ["Bi2+", "Os2+", 0.2374081091], + ["Os2+", "Bi3-", 0.0117776936], + ["Bi3-", "Os2+", 0.0117776936], + ["Os2+", "Bi4+", 0.0221518304], + ["Bi4+", "Os2+", 0.0221518304], + ["Os2+", "Ac3+", 0.0452003497], + ["Ac3+", "Os2+", 0.0452003497], + ["Os2+", "Th4+", 0.0550306317], + ["Th4+", "Os2+", 0.0550306317], + ["Os2+", "Th3+", 0.1032025388], + ["Th3+", "Os2+", 0.1032025388], + ["Os2+", "Pa4+", 0.3380859913], + ["Pa4+", "Os2+", 0.3380859913], + ["Os2+", "Pa5+", 0.1344165941], + ["Pa5+", "Os2+", 0.1344165941], + ["Os2+", "Pa3+", 0.0981715668], + ["Pa3+", "Os2+", 0.0981715668], + ["Os2+", "U6+", 0.2758483973], + ["U6+", "Os2+", 0.2758483973], + ["Os2+", "U4+", 0.0635110668], + ["U4+", "Os2+", 0.0635110668], + ["Os2+", "U3+", 0.0927413158], + ["U3+", "Os2+", 0.0927413158], + ["Os2+", "U2+", 0.1892934852], + ["U2+", "Os2+", 0.1892934852], + ["Os2+", "U5+", 0.2923355866], + ["U5+", "Os2+", 0.2923355866], + ["Os2+", "Np6+", 0.0947620945], + ["Np6+", "Os2+", 0.0947620945], + ["Os2+", "Np4+", 0.0558999107], + ["Np4+", "Os2+", 0.0558999107], + ["Os2+", "Np3+", 0.1360329825], + ["Np3+", "Os2+", 0.1360329825], + ["Os2+", "Np7+", 0.2688998137], + ["Np7+", "Os2+", 0.2688998137], + ["Os2+", "Np5+", 0.3188103813], + ["Np5+", "Os2+", 0.3188103813], + ["Os2+", "Pu7+", 0.2617036327], + ["Pu7+", "Os2+", 0.2617036327], + ["Os2+", "Pu6+", 0.2607000976], + ["Pu6+", "Os2+", 0.2607000976], + ["Os2+", "Pu3+", 0.1967705676], + ["Pu3+", "Os2+", 0.1967705676], + ["Os2+", "Pu4+", 0.2595791914], + ["Pu4+", "Os2+", 0.2595791914], + ["Os2+", "Pu5+", 0.2577427356], + ["Pu5+", "Os2+", 0.2577427356], + ["Os2+", "H1+", 0.2038271314], + ["H1+", "Os2+", 0.2038271314], + ["Os2+", "H1-", 0.0696358325], + ["H1-", "Os2+", 0.0696358325], + ["Os2+", "Li1+", 0.123131173], + ["Li1+", "Os2+", 0.123131173], + ["Os2+", "B1+", 0.2716118497], + ["B1+", "Os2+", 0.2716118497], + ["Os2+", "B1-", 0.0500131321], + ["B1-", "Os2+", 0.0500131321], + ["Os2+", "C1-", -0.0057478072], + ["C1-", "Os2+", -0.0057478072], + ["Os2+", "C1+", 0.1296059169], + ["C1+", "Os2+", 0.1296059169], + ["Os2+", "N1-", 0.0277901784], + ["N1-", "Os2+", 0.0277901784], + ["Os2+", "N1+", 0.0500092618], + ["N1+", "Os2+", 0.0500092618], + ["Os2+", "O1-", -0.0287085632], + ["O1-", "Os2+", -0.0287085632], + ["Os2+", "F1-", 0.0011065727], + ["F1-", "Os2+", 0.0011065727], + ["Os2+", "Na1+", 0.3046094318], + ["Na1+", "Os2+", 0.3046094318], + ["Os2+", "Si1-", 0.0871190122], + ["Si1-", "Os2+", 0.0871190122], + ["Os2+", "P1+", 0.0170862902], + ["P1+", "Os2+", 0.0170862902], + ["Os2+", "P1-", -0.0525273743], + ["P1-", "Os2+", -0.0525273743], + ["Os2+", "S1-", -0.1298215735], + ["S1-", "Os2+", -0.1298215735], + ["Os2+", "S1+", 0.218719308], + ["S1+", "Os2+", 0.218719308], + ["Os2+", "Cl1-", -0.0638141348], + ["Cl1-", "Os2+", -0.0638141348], + ["Os2+", "K1+", 0.1728896612], + ["K1+", "Os2+", 0.1728896612], + ["Os2+", "Sc1+", 0.2899324837], + ["Sc1+", "Os2+", 0.2899324837], + ["Os2+", "Mn1+", 0.2612885462], + ["Mn1+", "Os2+", 0.2612885462], + ["Os2+", "Fe1+", 0.124289603], + ["Fe1+", "Os2+", 0.124289603], + ["Os2+", "Co1+", 0.2643777], + ["Co1+", "Os2+", 0.2643777], + ["Os2+", "Ni1+", 0.248975204], + ["Ni1+", "Os2+", 0.248975204], + ["Os2+", "Cu1+", 0.2375035945], + ["Cu1+", "Os2+", 0.2375035945], + ["Os2+", "Ga1+", 0.104780546], + ["Ga1+", "Os2+", 0.104780546], + ["Os2+", "As1-", -0.0253493176], + ["As1-", "Os2+", -0.0253493176], + ["Os2+", "As1+", 0.1420913392], + ["As1+", "Os2+", 0.1420913392], + ["Os2+", "Se1-", -0.0832140934], + ["Se1-", "Os2+", -0.0832140934], + ["Os2+", "Se1+", 0.2729937092], + ["Se1+", "Os2+", 0.2729937092], + ["Os2+", "Br1-", -0.0456399159], + ["Br1-", "Os2+", -0.0456399159], + ["Os2+", "Br1+", 0.1953681375], + ["Br1+", "Os2+", 0.1953681375], + ["Os2+", "Rb1+", 0.3229057089], + ["Rb1+", "Os2+", 0.3229057089], + ["Os2+", "Y1+", 0.1902532661], + ["Y1+", "Os2+", 0.1902532661], + ["Os2+", "Zr1+", 0.1821862403], + ["Zr1+", "Os2+", 0.1821862403], + ["Os2+", "Nb1+", 0.1910470271], + ["Nb1+", "Os2+", 0.1910470271], + ["Os2+", "Tc1-", -0.0197260059], + ["Tc1-", "Os2+", -0.0197260059], + ["Os2+", "Tc1+", 0.0189962149], + ["Tc1+", "Os2+", 0.0189962149], + ["Os2+", "Rh1+", 0.2040539382], + ["Rh1+", "Os2+", 0.2040539382], + ["Os2+", "Ag1+", 0.0705127333], + ["Ag1+", "Os2+", 0.0705127333], + ["Os2+", "In1+", 0.1763184781], + ["In1+", "Os2+", 0.1763184781], + ["Os2+", "Sb1-", -0.0291594621], + ["Sb1-", "Os2+", -0.0291594621], + ["Os2+", "Sb1+", -0.1641507323], + ["Sb1+", "Os2+", -0.1641507323], + ["Os2+", "Te1-", -0.015155513], + ["Te1-", "Os2+", -0.015155513], + ["Os2+", "Te1+", 0.1156268917], + ["Te1+", "Os2+", 0.1156268917], + ["Os2+", "I1-", -0.0994429256], + ["I1-", "Os2+", -0.0994429256], + ["Os2+", "I1+", 0.1489229533], + ["I1+", "Os2+", 0.1489229533], + ["Os2+", "Cs1+", 0.2045496414], + ["Cs1+", "Os2+", 0.2045496414], + ["Os2+", "La1+", 0.2830955415], + ["La1+", "Os2+", 0.2830955415], + ["Os2+", "Tb1+", 0.2311154321], + ["Tb1+", "Os2+", 0.2311154321], + ["Os2+", "Ta1+", 0.1372614266], + ["Ta1+", "Os2+", 0.1372614266], + ["Os2+", "Os1-", 0.0764121242], + ["Os1-", "Os2+", 0.0764121242], + ["Os2+", "Os1+", 0.1679448544], + ["Os1+", "Os2+", 0.1679448544], + ["Os2+", "Pt1-", -0.1322968998], + ["Pt1-", "Os2+", -0.1322968998], + ["Os2+", "Pt1+", 0.1519687213], + ["Pt1+", "Os2+", 0.1519687213], + ["Os2+", "Au1-", -0.0902192688], + ["Au1-", "Os2+", -0.0902192688], + ["Os2+", "Au1+", 0.1388426766], + ["Au1+", "Os2+", 0.1388426766], + ["Os2+", "Hg1+", 0.2750418327], + ["Hg1+", "Os2+", 0.2750418327], + ["Os2+", "Tl1+", 0.0676545893], + ["Tl1+", "Os2+", 0.0676545893], + ["Os2+", "Bi1+", 0.3388487835], + ["Bi1+", "Os2+", 0.3388487835], + ["Ir3+", "Ir3+", 1.0], + ["Ir3+", "Ir4+", 0.0807284139], + ["Ir4+", "Ir3+", 0.0807284139], + ["Ir3+", "Ir5+", 0.0596084562], + ["Ir5+", "Ir3+", 0.0596084562], + ["Ir3+", "Ir6+", 0.1249306477], + ["Ir6+", "Ir3+", 0.1249306477], + ["Ir3+", "Pt2+", 0.2939963337], + ["Pt2+", "Ir3+", 0.2939963337], + ["Ir3+", "Pt2-", 0.1255572791], + ["Pt2-", "Ir3+", 0.1255572791], + ["Ir3+", "Pt4+", 0.3304804242], + ["Pt4+", "Ir3+", 0.3304804242], + ["Ir3+", "Pt3+", 0.0166150807], + ["Pt3+", "Ir3+", 0.0166150807], + ["Ir3+", "Pt5+", 0.2280504517], + ["Pt5+", "Ir3+", 0.2280504517], + ["Ir3+", "Pt6+", 0.2644929729], + ["Pt6+", "Ir3+", 0.2644929729], + ["Ir3+", "Au2+", 0.0847638269], + ["Au2+", "Ir3+", 0.0847638269], + ["Ir3+", "Au3+", 0.2802438038], + ["Au3+", "Ir3+", 0.2802438038], + ["Ir3+", "Au5+", 0.2891862597], + ["Au5+", "Ir3+", 0.2891862597], + ["Ir3+", "Au4+", 0.1456376771], + ["Au4+", "Ir3+", 0.1456376771], + ["Ir3+", "Hg2+", 0.212467904], + ["Hg2+", "Ir3+", 0.212467904], + ["Ir3+", "Tl3+", 0.084300668], + ["Tl3+", "Ir3+", 0.084300668], + ["Ir3+", "Tl2+", 0.0773075388], + ["Tl2+", "Ir3+", 0.0773075388], + ["Ir3+", "Pb2+", 0.2382599802], + ["Pb2+", "Ir3+", 0.2382599802], + ["Ir3+", "Pb3+", -0.0095295489], + ["Pb3+", "Ir3+", -0.0095295489], + ["Ir3+", "Pb4+", -0.0630969601], + ["Pb4+", "Ir3+", -0.0630969601], + ["Ir3+", "Bi3+", 0.1045069703], + ["Bi3+", "Ir3+", 0.1045069703], + ["Ir3+", "Bi5+", 0.0282073694], + ["Bi5+", "Ir3+", 0.0282073694], + ["Ir3+", "Bi2+", -0.1231150881], + ["Bi2+", "Ir3+", -0.1231150881], + ["Ir3+", "Bi3-", 0.0016974521], + ["Bi3-", "Ir3+", 0.0016974521], + ["Ir3+", "Bi4+", -0.1433821967], + ["Bi4+", "Ir3+", -0.1433821967], + ["Ir3+", "Ac3+", 0.1982890829], + ["Ac3+", "Ir3+", 0.1982890829], + ["Ir3+", "Th4+", 0.0686309083], + ["Th4+", "Ir3+", 0.0686309083], + ["Ir3+", "Th3+", 0.217905342], + ["Th3+", "Ir3+", 0.217905342], + ["Ir3+", "Pa4+", 0.0925569386], + ["Pa4+", "Ir3+", 0.0925569386], + ["Ir3+", "Pa5+", 0.0055262623], + ["Pa5+", "Ir3+", 0.0055262623], + ["Ir3+", "Pa3+", 0.3510821849], + ["Pa3+", "Ir3+", 0.3510821849], + ["Ir3+", "U6+", -0.1599211648], + ["U6+", "Ir3+", -0.1599211648], + ["Ir3+", "U4+", 0.1370904203], + ["U4+", "Ir3+", 0.1370904203], + ["Ir3+", "U3+", 0.2861788502], + ["U3+", "Ir3+", 0.2861788502], + ["Ir3+", "U2+", 0.2583632689], + ["U2+", "Ir3+", 0.2583632689], + ["Ir3+", "U5+", -0.0354477404], + ["U5+", "Ir3+", -0.0354477404], + ["Ir3+", "Np6+", 0.0605599147], + ["Np6+", "Ir3+", 0.0605599147], + ["Ir3+", "Np4+", 0.2020659123], + ["Np4+", "Ir3+", 0.2020659123], + ["Ir3+", "Np3+", 0.3294702941], + ["Np3+", "Ir3+", 0.3294702941], + ["Ir3+", "Np7+", -0.0326652766], + ["Np7+", "Ir3+", -0.0326652766], + ["Ir3+", "Np5+", 0.1594636395], + ["Np5+", "Ir3+", 0.1594636395], + ["Ir3+", "Pu7+", -0.1884732728], + ["Pu7+", "Ir3+", -0.1884732728], + ["Ir3+", "Pu6+", 0.1223782486], + ["Pu6+", "Ir3+", 0.1223782486], + ["Ir3+", "Pu3+", 0.2395108833], + ["Pu3+", "Ir3+", 0.2395108833], + ["Ir3+", "Pu4+", 0.0688430799], + ["Pu4+", "Ir3+", 0.0688430799], + ["Ir3+", "Pu5+", -0.0023504552], + ["Pu5+", "Ir3+", -0.0023504552], + ["Ir3+", "H1+", 0.0092314824], + ["H1+", "Ir3+", 0.0092314824], + ["Ir3+", "H1-", 0.1689498066], + ["H1-", "Ir3+", 0.1689498066], + ["Ir3+", "Li1+", 0.1920803463], + ["Li1+", "Ir3+", 0.1920803463], + ["Ir3+", "B1+", 0.189433914], + ["B1+", "Ir3+", 0.189433914], + ["Ir3+", "B1-", -0.0976273056], + ["B1-", "Ir3+", -0.0976273056], + ["Ir3+", "C1-", 0.0869942751], + ["C1-", "Ir3+", 0.0869942751], + ["Ir3+", "C1+", 0.4297291], + ["C1+", "Ir3+", 0.4297291], + ["Ir3+", "N1-", 0.1575864401], + ["N1-", "Ir3+", 0.1575864401], + ["Ir3+", "N1+", 0.1759509129], + ["N1+", "Ir3+", 0.1759509129], + ["Ir3+", "O1-", -0.0297423148], + ["O1-", "Ir3+", -0.0297423148], + ["Ir3+", "F1-", -0.0388850345], + ["F1-", "Ir3+", -0.0388850345], + ["Ir3+", "Na1+", -0.0327740075], + ["Na1+", "Ir3+", -0.0327740075], + ["Ir3+", "Si1-", -0.0898154873], + ["Si1-", "Ir3+", -0.0898154873], + ["Ir3+", "P1+", -0.0099861594], + ["P1+", "Ir3+", -0.0099861594], + ["Ir3+", "P1-", 0.0218982697], + ["P1-", "Ir3+", 0.0218982697], + ["Ir3+", "S1-", 0.0281175652], + ["S1-", "Ir3+", 0.0281175652], + ["Ir3+", "S1+", 0.1644361149], + ["S1+", "Ir3+", 0.1644361149], + ["Ir3+", "Cl1-", 0.1409880021], + ["Cl1-", "Ir3+", 0.1409880021], + ["Ir3+", "K1+", 0.169019415], + ["K1+", "Ir3+", 0.169019415], + ["Ir3+", "Sc1+", 0.358235168], + ["Sc1+", "Ir3+", 0.358235168], + ["Ir3+", "Mn1+", 0.2556899172], + ["Mn1+", "Ir3+", 0.2556899172], + ["Ir3+", "Fe1+", 0.2247420428], + ["Fe1+", "Ir3+", 0.2247420428], + ["Ir3+", "Co1+", 0.2772103127], + ["Co1+", "Ir3+", 0.2772103127], + ["Ir3+", "Ni1+", 0.3813462428], + ["Ni1+", "Ir3+", 0.3813462428], + ["Ir3+", "Cu1+", 0.1386082421], + ["Cu1+", "Ir3+", 0.1386082421], + ["Ir3+", "Ga1+", 0.533335641], + ["Ga1+", "Ir3+", 0.533335641], + ["Ir3+", "As1-", 0.0724438288], + ["As1-", "Ir3+", 0.0724438288], + ["Ir3+", "As1+", 0.0276589606], + ["As1+", "Ir3+", 0.0276589606], + ["Ir3+", "Se1-", -0.0111071018], + ["Se1-", "Ir3+", -0.0111071018], + ["Ir3+", "Se1+", 0.0951554417], + ["Se1+", "Ir3+", 0.0951554417], + ["Ir3+", "Br1-", 0.0863975822], + ["Br1-", "Ir3+", 0.0863975822], + ["Ir3+", "Br1+", 0.2181053629], + ["Br1+", "Ir3+", 0.2181053629], + ["Ir3+", "Rb1+", 0.1765355142], + ["Rb1+", "Ir3+", 0.1765355142], + ["Ir3+", "Y1+", 0.2202221687], + ["Y1+", "Ir3+", 0.2202221687], + ["Ir3+", "Zr1+", 0.3545014566], + ["Zr1+", "Ir3+", 0.3545014566], + ["Ir3+", "Nb1+", 0.3034221262], + ["Nb1+", "Ir3+", 0.3034221262], + ["Ir3+", "Tc1-", 0.2054186824], + ["Tc1-", "Ir3+", 0.2054186824], + ["Ir3+", "Tc1+", 0.2828434314], + ["Tc1+", "Ir3+", 0.2828434314], + ["Ir3+", "Rh1+", 0.3103107727], + ["Rh1+", "Ir3+", 0.3103107727], + ["Ir3+", "Ag1+", 0.2084365754], + ["Ag1+", "Ir3+", 0.2084365754], + ["Ir3+", "In1+", 0.2499348163], + ["In1+", "Ir3+", 0.2499348163], + ["Ir3+", "Sb1-", 0.0317922455], + ["Sb1-", "Ir3+", 0.0317922455], + ["Ir3+", "Sb1+", 0.0228397806], + ["Sb1+", "Ir3+", 0.0228397806], + ["Ir3+", "Te1-", -0.0384342208], + ["Te1-", "Ir3+", -0.0384342208], + ["Ir3+", "Te1+", 0.2354381443], + ["Te1+", "Ir3+", 0.2354381443], + ["Ir3+", "I1-", 0.0525715376], + ["I1-", "Ir3+", 0.0525715376], + ["Ir3+", "I1+", 0.2053728411], + ["I1+", "Ir3+", 0.2053728411], + ["Ir3+", "Cs1+", 0.2140812753], + ["Cs1+", "Ir3+", 0.2140812753], + ["Ir3+", "La1+", 0.1742936572], + ["La1+", "Ir3+", 0.1742936572], + ["Ir3+", "Tb1+", 0.2055582328], + ["Tb1+", "Ir3+", 0.2055582328], + ["Ir3+", "Ta1+", 0.255016293], + ["Ta1+", "Ir3+", 0.255016293], + ["Ir3+", "Os1-", 0.035033607], + ["Os1-", "Ir3+", 0.035033607], + ["Ir3+", "Os1+", 0.4058385353], + ["Os1+", "Ir3+", 0.4058385353], + ["Ir3+", "Pt1-", -0.0002924738], + ["Pt1-", "Ir3+", -0.0002924738], + ["Ir3+", "Pt1+", 0.2385299618], + ["Pt1+", "Ir3+", 0.2385299618], + ["Ir3+", "Au1-", -0.0146590809], + ["Au1-", "Ir3+", -0.0146590809], + ["Ir3+", "Au1+", 0.3692661283], + ["Au1+", "Ir3+", 0.3692661283], + ["Ir3+", "Hg1+", 0.187165763], + ["Hg1+", "Ir3+", 0.187165763], + ["Ir3+", "Tl1+", 0.2411731891], + ["Tl1+", "Ir3+", 0.2411731891], + ["Ir3+", "Bi1+", -0.109188192], + ["Bi1+", "Ir3+", -0.109188192], + ["Ir4+", "Ir4+", 1.0], + ["Ir4+", "Ir5+", 0.4380893502], + ["Ir5+", "Ir4+", 0.4380893502], + ["Ir4+", "Ir6+", 0.2461117351], + ["Ir6+", "Ir4+", 0.2461117351], + ["Ir4+", "Pt2+", 0.1889373153], + ["Pt2+", "Ir4+", 0.1889373153], + ["Ir4+", "Pt2-", -0.0048822396], + ["Pt2-", "Ir4+", -0.0048822396], + ["Ir4+", "Pt4+", 0.2337870672], + ["Pt4+", "Ir4+", 0.2337870672], + ["Ir4+", "Pt3+", 0.3251678975], + ["Pt3+", "Ir4+", 0.3251678975], + ["Ir4+", "Pt5+", 0.3414743058], + ["Pt5+", "Ir4+", 0.3414743058], + ["Ir4+", "Pt6+", 0.2161033574], + ["Pt6+", "Ir4+", 0.2161033574], + ["Ir4+", "Au2+", 0.0819976486], + ["Au2+", "Ir4+", 0.0819976486], + ["Ir4+", "Au3+", 0.1747717087], + ["Au3+", "Ir4+", 0.1747717087], + ["Ir4+", "Au5+", 0.1988698645], + ["Au5+", "Ir4+", 0.1988698645], + ["Ir4+", "Au4+", 0.0866951675], + ["Au4+", "Ir4+", 0.0866951675], + ["Ir4+", "Hg2+", 0.2789905292], + ["Hg2+", "Ir4+", 0.2789905292], + ["Ir4+", "Tl3+", 0.2776564797], + ["Tl3+", "Ir4+", 0.2776564797], + ["Ir4+", "Tl2+", 0.1225606857], + ["Tl2+", "Ir4+", 0.1225606857], + ["Ir4+", "Pb2+", 0.3345998302], + ["Pb2+", "Ir4+", 0.3345998302], + ["Ir4+", "Pb3+", 0.2564139786], + ["Pb3+", "Ir4+", 0.2564139786], + ["Ir4+", "Pb4+", 0.2765908599], + ["Pb4+", "Ir4+", 0.2765908599], + ["Ir4+", "Bi3+", 0.4687087626], + ["Bi3+", "Ir4+", 0.4687087626], + ["Ir4+", "Bi5+", 0.1799233593], + ["Bi5+", "Ir4+", 0.1799233593], + ["Ir4+", "Bi2+", 0.2419627472], + ["Bi2+", "Ir4+", 0.2419627472], + ["Ir4+", "Bi3-", -0.0964304123], + ["Bi3-", "Ir4+", -0.0964304123], + ["Ir4+", "Bi4+", 0.1900314026], + ["Bi4+", "Ir4+", 0.1900314026], + ["Ir4+", "Ac3+", 0.1376148838], + ["Ac3+", "Ir4+", 0.1376148838], + ["Ir4+", "Th4+", 0.2558443684], + ["Th4+", "Ir4+", 0.2558443684], + ["Ir4+", "Th3+", 0.2543758983], + ["Th3+", "Ir4+", 0.2543758983], + ["Ir4+", "Pa4+", 0.2478989508], + ["Pa4+", "Ir4+", 0.2478989508], + ["Ir4+", "Pa5+", 0.2420006643], + ["Pa5+", "Ir4+", 0.2420006643], + ["Ir4+", "Pa3+", 0.0989095216], + ["Pa3+", "Ir4+", 0.0989095216], + ["Ir4+", "U6+", 0.1982787687], + ["U6+", "Ir4+", 0.1982787687], + ["Ir4+", "U4+", 0.1422894793], + ["U4+", "Ir4+", 0.1422894793], + ["Ir4+", "U3+", 0.1288556774], + ["U3+", "Ir4+", 0.1288556774], + ["Ir4+", "U2+", 0.2387019948], + ["U2+", "Ir4+", 0.2387019948], + ["Ir4+", "U5+", 0.3626578231], + ["U5+", "Ir4+", 0.3626578231], + ["Ir4+", "Np6+", 0.2072522171], + ["Np6+", "Ir4+", 0.2072522171], + ["Ir4+", "Np4+", 0.1574482951], + ["Np4+", "Ir4+", 0.1574482951], + ["Ir4+", "Np3+", 0.3409088285], + ["Np3+", "Ir4+", 0.3409088285], + ["Ir4+", "Np7+", 0.3524366452], + ["Np7+", "Ir4+", 0.3524366452], + ["Ir4+", "Np5+", 0.4938961613], + ["Np5+", "Ir4+", 0.4938961613], + ["Ir4+", "Pu7+", 0.3832400475], + ["Pu7+", "Ir4+", 0.3832400475], + ["Ir4+", "Pu6+", 0.130269796], + ["Pu6+", "Ir4+", 0.130269796], + ["Ir4+", "Pu3+", 0.2358133384], + ["Pu3+", "Ir4+", 0.2358133384], + ["Ir4+", "Pu4+", 0.1237209001], + ["Pu4+", "Ir4+", 0.1237209001], + ["Ir4+", "Pu5+", 0.1488373503], + ["Pu5+", "Ir4+", 0.1488373503], + ["Ir4+", "H1+", 0.2444432469], + ["H1+", "Ir4+", 0.2444432469], + ["Ir4+", "H1-", -0.0887849307], + ["H1-", "Ir4+", -0.0887849307], + ["Ir4+", "Li1+", 0.357324542], + ["Li1+", "Ir4+", 0.357324542], + ["Ir4+", "B1+", 0.0194787143], + ["B1+", "Ir4+", 0.0194787143], + ["Ir4+", "B1-", -0.0302726704], + ["B1-", "Ir4+", -0.0302726704], + ["Ir4+", "C1-", 0.1690444135], + ["C1-", "Ir4+", 0.1690444135], + ["Ir4+", "C1+", 0.1254872189], + ["C1+", "Ir4+", 0.1254872189], + ["Ir4+", "N1-", 0.0807162395], + ["N1-", "Ir4+", 0.0807162395], + ["Ir4+", "N1+", 0.169655659], + ["N1+", "Ir4+", 0.169655659], + ["Ir4+", "O1-", 0.0597562385], + ["O1-", "Ir4+", 0.0597562385], + ["Ir4+", "F1-", -0.0444606054], + ["F1-", "Ir4+", -0.0444606054], + ["Ir4+", "Na1+", 0.487337002], + ["Na1+", "Ir4+", 0.487337002], + ["Ir4+", "Si1-", -0.0309370691], + ["Si1-", "Ir4+", -0.0309370691], + ["Ir4+", "P1+", 0.1749165927], + ["P1+", "Ir4+", 0.1749165927], + ["Ir4+", "P1-", 0.0110245582], + ["P1-", "Ir4+", 0.0110245582], + ["Ir4+", "S1-", 0.0066874087], + ["S1-", "Ir4+", 0.0066874087], + ["Ir4+", "S1+", 0.2713350852], + ["S1+", "Ir4+", 0.2713350852], + ["Ir4+", "Cl1-", 0.1751229111], + ["Cl1-", "Ir4+", 0.1751229111], + ["Ir4+", "K1+", 0.3944401673], + ["K1+", "Ir4+", 0.3944401673], + ["Ir4+", "Sc1+", 0.1020004561], + ["Sc1+", "Ir4+", 0.1020004561], + ["Ir4+", "Mn1+", 0.0208243267], + ["Mn1+", "Ir4+", 0.0208243267], + ["Ir4+", "Fe1+", -0.0468126932], + ["Fe1+", "Ir4+", -0.0468126932], + ["Ir4+", "Co1+", -0.0447686217], + ["Co1+", "Ir4+", -0.0447686217], + ["Ir4+", "Ni1+", 0.0223640181], + ["Ni1+", "Ir4+", 0.0223640181], + ["Ir4+", "Cu1+", 0.2153291051], + ["Cu1+", "Ir4+", 0.2153291051], + ["Ir4+", "Ga1+", -0.0717418635], + ["Ga1+", "Ir4+", -0.0717418635], + ["Ir4+", "As1-", 0.0025563662], + ["As1-", "Ir4+", 0.0025563662], + ["Ir4+", "As1+", 0.3625626616], + ["As1+", "Ir4+", 0.3625626616], + ["Ir4+", "Se1-", 0.0487785447], + ["Se1-", "Ir4+", 0.0487785447], + ["Ir4+", "Se1+", 0.2913117316], + ["Se1+", "Ir4+", 0.2913117316], + ["Ir4+", "Br1-", 0.1204693072], + ["Br1-", "Ir4+", 0.1204693072], + ["Ir4+", "Br1+", 0.1160584411], + ["Br1+", "Ir4+", 0.1160584411], + ["Ir4+", "Rb1+", 0.3456520233], + ["Rb1+", "Ir4+", 0.3456520233], + ["Ir4+", "Y1+", -0.04520617], + ["Y1+", "Ir4+", -0.04520617], + ["Ir4+", "Zr1+", -0.1094854593], + ["Zr1+", "Ir4+", -0.1094854593], + ["Ir4+", "Nb1+", 0.0478273663], + ["Nb1+", "Ir4+", 0.0478273663], + ["Ir4+", "Tc1-", -0.0443557474], + ["Tc1-", "Ir4+", -0.0443557474], + ["Ir4+", "Tc1+", 0.1529664731], + ["Tc1+", "Ir4+", 0.1529664731], + ["Ir4+", "Rh1+", 0.0003815775], + ["Rh1+", "Ir4+", 0.0003815775], + ["Ir4+", "Ag1+", 0.4013526042], + ["Ag1+", "Ir4+", 0.4013526042], + ["Ir4+", "In1+", 0.1419257665], + ["In1+", "Ir4+", 0.1419257665], + ["Ir4+", "Sb1-", 0.0314362859], + ["Sb1-", "Ir4+", 0.0314362859], + ["Ir4+", "Sb1+", 0.101489934], + ["Sb1+", "Ir4+", 0.101489934], + ["Ir4+", "Te1-", 0.1238728743], + ["Te1-", "Ir4+", 0.1238728743], + ["Ir4+", "Te1+", 0.2237498865], + ["Te1+", "Ir4+", 0.2237498865], + ["Ir4+", "I1-", 0.1069591216], + ["I1-", "Ir4+", 0.1069591216], + ["Ir4+", "I1+", 0.1174693282], + ["I1+", "Ir4+", 0.1174693282], + ["Ir4+", "Cs1+", 0.3319872142], + ["Cs1+", "Ir4+", 0.3319872142], + ["Ir4+", "La1+", -0.0019165715], + ["La1+", "Ir4+", -0.0019165715], + ["Ir4+", "Tb1+", 0.0932937656], + ["Tb1+", "Ir4+", 0.0932937656], + ["Ir4+", "Ta1+", 0.0966096972], + ["Ta1+", "Ir4+", 0.0966096972], + ["Ir4+", "Os1-", 0.0674027622], + ["Os1-", "Ir4+", 0.0674027622], + ["Ir4+", "Os1+", 0.1454266204], + ["Os1+", "Ir4+", 0.1454266204], + ["Ir4+", "Pt1-", 0.1323383401], + ["Pt1-", "Ir4+", 0.1323383401], + ["Ir4+", "Pt1+", 0.2771718754], + ["Pt1+", "Ir4+", 0.2771718754], + ["Ir4+", "Au1-", -0.1401235267], + ["Au1-", "Ir4+", -0.1401235267], + ["Ir4+", "Au1+", 0.2260797677], + ["Au1+", "Ir4+", 0.2260797677], + ["Ir4+", "Hg1+", 0.1502474283], + ["Hg1+", "Ir4+", 0.1502474283], + ["Ir4+", "Tl1+", 0.393056924], + ["Tl1+", "Ir4+", 0.393056924], + ["Ir4+", "Bi1+", 0.0801237175], + ["Bi1+", "Ir4+", 0.0801237175], + ["Ir5+", "Ir5+", 1.0], + ["Ir5+", "Ir6+", 0.2261529781], + ["Ir6+", "Ir5+", 0.2261529781], + ["Ir5+", "Pt2+", 0.2233721392], + ["Pt2+", "Ir5+", 0.2233721392], + ["Ir5+", "Pt2-", -0.0607730205], + ["Pt2-", "Ir5+", -0.0607730205], + ["Ir5+", "Pt4+", 0.1409672519], + ["Pt4+", "Ir5+", 0.1409672519], + ["Ir5+", "Pt3+", 0.1878049138], + ["Pt3+", "Ir5+", 0.1878049138], + ["Ir5+", "Pt5+", 0.2824105172], + ["Pt5+", "Ir5+", 0.2824105172], + ["Ir5+", "Pt6+", 0.2623663829], + ["Pt6+", "Ir5+", 0.2623663829], + ["Ir5+", "Au2+", 0.1332292509], + ["Au2+", "Ir5+", 0.1332292509], + ["Ir5+", "Au3+", 0.2825200387], + ["Au3+", "Ir5+", 0.2825200387], + ["Ir5+", "Au5+", 0.2132235457], + ["Au5+", "Ir5+", 0.2132235457], + ["Ir5+", "Au4+", 0.0366976148], + ["Au4+", "Ir5+", 0.0366976148], + ["Ir5+", "Hg2+", 0.3907532225], + ["Hg2+", "Ir5+", 0.3907532225], + ["Ir5+", "Tl3+", 0.170108271], + ["Tl3+", "Ir5+", 0.170108271], + ["Ir5+", "Tl2+", 0.0281448263], + ["Tl2+", "Ir5+", 0.0281448263], + ["Ir5+", "Pb2+", 0.2773433011], + ["Pb2+", "Ir5+", 0.2773433011], + ["Ir5+", "Pb3+", 0.0899936717], + ["Pb3+", "Ir5+", 0.0899936717], + ["Ir5+", "Pb4+", 0.234986319], + ["Pb4+", "Ir5+", 0.234986319], + ["Ir5+", "Bi3+", 0.3750476867], + ["Bi3+", "Ir5+", 0.3750476867], + ["Ir5+", "Bi5+", 0.1504659941], + ["Bi5+", "Ir5+", 0.1504659941], + ["Ir5+", "Bi2+", 0.3100879051], + ["Bi2+", "Ir5+", 0.3100879051], + ["Ir5+", "Bi3-", -0.0148776499], + ["Bi3-", "Ir5+", -0.0148776499], + ["Ir5+", "Bi4+", 0.1413217256], + ["Bi4+", "Ir5+", 0.1413217256], + ["Ir5+", "Ac3+", 0.0204653724], + ["Ac3+", "Ir5+", 0.0204653724], + ["Ir5+", "Th4+", 0.0792653892], + ["Th4+", "Ir5+", 0.0792653892], + ["Ir5+", "Th3+", 0.2277897201], + ["Th3+", "Ir5+", 0.2277897201], + ["Ir5+", "Pa4+", 0.279728911], + ["Pa4+", "Ir5+", 0.279728911], + ["Ir5+", "Pa5+", 0.1704805883], + ["Pa5+", "Ir5+", 0.1704805883], + ["Ir5+", "Pa3+", 0.0497739767], + ["Pa3+", "Ir5+", 0.0497739767], + ["Ir5+", "U6+", 0.1783131375], + ["U6+", "Ir5+", 0.1783131375], + ["Ir5+", "U4+", 0.1163962562], + ["U4+", "Ir5+", 0.1163962562], + ["Ir5+", "U3+", 0.1189467911], + ["U3+", "Ir5+", 0.1189467911], + ["Ir5+", "U2+", 0.2986529557], + ["U2+", "Ir5+", 0.2986529557], + ["Ir5+", "U5+", 0.3563790117], + ["U5+", "Ir5+", 0.3563790117], + ["Ir5+", "Np6+", 0.1051618045], + ["Np6+", "Ir5+", 0.1051618045], + ["Ir5+", "Np4+", 0.0847009448], + ["Np4+", "Ir5+", 0.0847009448], + ["Ir5+", "Np3+", 0.1894138271], + ["Np3+", "Ir5+", 0.1894138271], + ["Ir5+", "Np7+", 0.2268005208], + ["Np7+", "Ir5+", 0.2268005208], + ["Ir5+", "Np5+", 0.3114043532], + ["Np5+", "Ir5+", 0.3114043532], + ["Ir5+", "Pu7+", 0.2154525761], + ["Pu7+", "Ir5+", 0.2154525761], + ["Ir5+", "Pu6+", 0.2664320662], + ["Pu6+", "Ir5+", 0.2664320662], + ["Ir5+", "Pu3+", 0.3241877175], + ["Pu3+", "Ir5+", 0.3241877175], + ["Ir5+", "Pu4+", 0.2194670053], + ["Pu4+", "Ir5+", 0.2194670053], + ["Ir5+", "Pu5+", 0.3291218125], + ["Pu5+", "Ir5+", 0.3291218125], + ["Ir5+", "H1+", 0.3730520843], + ["H1+", "Ir5+", 0.3730520843], + ["Ir5+", "H1-", 0.0827305429], + ["H1-", "Ir5+", 0.0827305429], + ["Ir5+", "Li1+", 0.1603159553], + ["Li1+", "Ir5+", 0.1603159553], + ["Ir5+", "B1+", 0.0288065966], + ["B1+", "Ir5+", 0.0288065966], + ["Ir5+", "B1-", -0.0067748695], + ["B1-", "Ir5+", -0.0067748695], + ["Ir5+", "C1-", 0.1643686003], + ["C1-", "Ir5+", 0.1643686003], + ["Ir5+", "C1+", 0.0471904423], + ["C1+", "Ir5+", 0.0471904423], + ["Ir5+", "N1-", -0.0086577889], + ["N1-", "Ir5+", -0.0086577889], + ["Ir5+", "N1+", -0.0368109386], + ["N1+", "Ir5+", -0.0368109386], + ["Ir5+", "O1-", -0.0540710886], + ["O1-", "Ir5+", -0.0540710886], + ["Ir5+", "F1-", -0.0526270606], + ["F1-", "Ir5+", -0.0526270606], + ["Ir5+", "Na1+", 0.3779421867], + ["Na1+", "Ir5+", 0.3779421867], + ["Ir5+", "Si1-", -0.0089070683], + ["Si1-", "Ir5+", -0.0089070683], + ["Ir5+", "P1+", -0.0467038148], + ["P1+", "Ir5+", -0.0467038148], + ["Ir5+", "P1-", -0.1508020033], + ["P1-", "Ir5+", -0.1508020033], + ["Ir5+", "S1-", -0.0724930925], + ["S1-", "Ir5+", -0.0724930925], + ["Ir5+", "S1+", 0.2179725913], + ["S1+", "Ir5+", 0.2179725913], + ["Ir5+", "Cl1-", 0.0811560508], + ["Cl1-", "Ir5+", 0.0811560508], + ["Ir5+", "K1+", 0.320177782], + ["K1+", "Ir5+", 0.320177782], + ["Ir5+", "Sc1+", 0.2037165134], + ["Sc1+", "Ir5+", 0.2037165134], + ["Ir5+", "Mn1+", 0.0298523681], + ["Mn1+", "Ir5+", 0.0298523681], + ["Ir5+", "Fe1+", 0.2587674321], + ["Fe1+", "Ir5+", 0.2587674321], + ["Ir5+", "Co1+", 0.2740772507], + ["Co1+", "Ir5+", 0.2740772507], + ["Ir5+", "Ni1+", 0.193114692], + ["Ni1+", "Ir5+", 0.193114692], + ["Ir5+", "Cu1+", 0.2760898988], + ["Cu1+", "Ir5+", 0.2760898988], + ["Ir5+", "Ga1+", -0.0015690598], + ["Ga1+", "Ir5+", -0.0015690598], + ["Ir5+", "As1-", -0.1589215936], + ["As1-", "Ir5+", -0.1589215936], + ["Ir5+", "As1+", 0.172220152], + ["As1+", "Ir5+", 0.172220152], + ["Ir5+", "Se1-", -0.0683594549], + ["Se1-", "Ir5+", -0.0683594549], + ["Ir5+", "Se1+", 0.2249437453], + ["Se1+", "Ir5+", 0.2249437453], + ["Ir5+", "Br1-", 0.0319495115], + ["Br1-", "Ir5+", 0.0319495115], + ["Ir5+", "Br1+", 0.1422011465], + ["Br1+", "Ir5+", 0.1422011465], + ["Ir5+", "Rb1+", 0.273765735], + ["Rb1+", "Ir5+", 0.273765735], + ["Ir5+", "Y1+", 0.0902994182], + ["Y1+", "Ir5+", 0.0902994182], + ["Ir5+", "Zr1+", 0.0294603954], + ["Zr1+", "Ir5+", 0.0294603954], + ["Ir5+", "Nb1+", 0.2609963855], + ["Nb1+", "Ir5+", 0.2609963855], + ["Ir5+", "Tc1-", 0.0454672068], + ["Tc1-", "Ir5+", 0.0454672068], + ["Ir5+", "Tc1+", 0.2069579516], + ["Tc1+", "Ir5+", 0.2069579516], + ["Ir5+", "Rh1+", 0.1730183568], + ["Rh1+", "Ir5+", 0.1730183568], + ["Ir5+", "Ag1+", 0.321766854], + ["Ag1+", "Ir5+", 0.321766854], + ["Ir5+", "In1+", 0.1738554551], + ["In1+", "Ir5+", 0.1738554551], + ["Ir5+", "Sb1-", -0.1313019467], + ["Sb1-", "Ir5+", -0.1313019467], + ["Ir5+", "Sb1+", 0.1155815232], + ["Sb1+", "Ir5+", 0.1155815232], + ["Ir5+", "Te1-", 0.1164673384], + ["Te1-", "Ir5+", 0.1164673384], + ["Ir5+", "Te1+", 0.1041071264], + ["Te1+", "Ir5+", 0.1041071264], + ["Ir5+", "I1-", 0.0483833611], + ["I1-", "Ir5+", 0.0483833611], + ["Ir5+", "I1+", 0.1621411928], + ["I1+", "Ir5+", 0.1621411928], + ["Ir5+", "Cs1+", 0.4085331728], + ["Cs1+", "Ir5+", 0.4085331728], + ["Ir5+", "La1+", 0.1550822458], + ["La1+", "Ir5+", 0.1550822458], + ["Ir5+", "Tb1+", 0.1066266863], + ["Tb1+", "Ir5+", 0.1066266863], + ["Ir5+", "Ta1+", 0.2615948537], + ["Ta1+", "Ir5+", 0.2615948537], + ["Ir5+", "Os1-", 0.1445054493], + ["Os1-", "Ir5+", 0.1445054493], + ["Ir5+", "Os1+", -0.0183489936], + ["Os1+", "Ir5+", -0.0183489936], + ["Ir5+", "Pt1-", 0.0254692504], + ["Pt1-", "Ir5+", 0.0254692504], + ["Ir5+", "Pt1+", 0.2016013782], + ["Pt1+", "Ir5+", 0.2016013782], + ["Ir5+", "Au1-", -0.1306303791], + ["Au1-", "Ir5+", -0.1306303791], + ["Ir5+", "Au1+", 0.2290094438], + ["Au1+", "Ir5+", 0.2290094438], + ["Ir5+", "Hg1+", 0.1144507714], + ["Hg1+", "Ir5+", 0.1144507714], + ["Ir5+", "Tl1+", 0.2600847159], + ["Tl1+", "Ir5+", 0.2600847159], + ["Ir5+", "Bi1+", 0.3349602971], + ["Bi1+", "Ir5+", 0.3349602971], + ["Ir6+", "Ir6+", 1.0], + ["Ir6+", "Pt2+", 0.1126508544], + ["Pt2+", "Ir6+", 0.1126508544], + ["Ir6+", "Pt2-", -0.0057995077], + ["Pt2-", "Ir6+", -0.0057995077], + ["Ir6+", "Pt4+", 0.3260872777], + ["Pt4+", "Ir6+", 0.3260872777], + ["Ir6+", "Pt3+", 0.0793614228], + ["Pt3+", "Ir6+", 0.0793614228], + ["Ir6+", "Pt5+", 0.2531513345], + ["Pt5+", "Ir6+", 0.2531513345], + ["Ir6+", "Pt6+", 0.4488177706], + ["Pt6+", "Ir6+", 0.4488177706], + ["Ir6+", "Au2+", 0.2301813314], + ["Au2+", "Ir6+", 0.2301813314], + ["Ir6+", "Au3+", 0.3176529331], + ["Au3+", "Ir6+", 0.3176529331], + ["Ir6+", "Au5+", 0.2810997734], + ["Au5+", "Ir6+", 0.2810997734], + ["Ir6+", "Au4+", 0.3056387963], + ["Au4+", "Ir6+", 0.3056387963], + ["Ir6+", "Hg2+", 0.2602161372], + ["Hg2+", "Ir6+", 0.2602161372], + ["Ir6+", "Tl3+", 0.2458438102], + ["Tl3+", "Ir6+", 0.2458438102], + ["Ir6+", "Tl2+", 0.171905562], + ["Tl2+", "Ir6+", 0.171905562], + ["Ir6+", "Pb2+", 0.3385869529], + ["Pb2+", "Ir6+", 0.3385869529], + ["Ir6+", "Pb3+", 0.2770994979], + ["Pb3+", "Ir6+", 0.2770994979], + ["Ir6+", "Pb4+", 0.4040760079], + ["Pb4+", "Ir6+", 0.4040760079], + ["Ir6+", "Bi3+", 0.360847104], + ["Bi3+", "Ir6+", 0.360847104], + ["Ir6+", "Bi5+", 0.2293057492], + ["Bi5+", "Ir6+", 0.2293057492], + ["Ir6+", "Bi2+", 0.30253379], + ["Bi2+", "Ir6+", 0.30253379], + ["Ir6+", "Bi3-", -0.0290830447], + ["Bi3-", "Ir6+", -0.0290830447], + ["Ir6+", "Bi4+", 0.0451113424], + ["Bi4+", "Ir6+", 0.0451113424], + ["Ir6+", "Ac3+", 0.0375789441], + ["Ac3+", "Ir6+", 0.0375789441], + ["Ir6+", "Th4+", 0.2722228146], + ["Th4+", "Ir6+", 0.2722228146], + ["Ir6+", "Th3+", 0.1405864573], + ["Th3+", "Ir6+", 0.1405864573], + ["Ir6+", "Pa4+", 0.187617254], + ["Pa4+", "Ir6+", 0.187617254], + ["Ir6+", "Pa5+", 0.3787058541], + ["Pa5+", "Ir6+", 0.3787058541], + ["Ir6+", "Pa3+", -0.0892152858], + ["Pa3+", "Ir6+", -0.0892152858], + ["Ir6+", "U6+", 0.30809556], + ["U6+", "Ir6+", 0.30809556], + ["Ir6+", "U4+", 0.1554756609], + ["U4+", "Ir6+", 0.1554756609], + ["Ir6+", "U3+", -0.0930389851], + ["U3+", "Ir6+", -0.0930389851], + ["Ir6+", "U2+", 0.0458206737], + ["U2+", "Ir6+", 0.0458206737], + ["Ir6+", "U5+", 0.3048293672], + ["U5+", "Ir6+", 0.3048293672], + ["Ir6+", "Np6+", 0.1092052715], + ["Np6+", "Ir6+", 0.1092052715], + ["Ir6+", "Np4+", 0.119352554], + ["Np4+", "Ir6+", 0.119352554], + ["Ir6+", "Np3+", 0.1132523761], + ["Np3+", "Ir6+", 0.1132523761], + ["Ir6+", "Np7+", 0.2722846356], + ["Np7+", "Ir6+", 0.2722846356], + ["Ir6+", "Np5+", 0.2103621609], + ["Np5+", "Ir6+", 0.2103621609], + ["Ir6+", "Pu7+", 0.2437042437], + ["Pu7+", "Ir6+", 0.2437042437], + ["Ir6+", "Pu6+", 0.0975733497], + ["Pu6+", "Ir6+", 0.0975733497], + ["Ir6+", "Pu3+", 0.0881713897], + ["Pu3+", "Ir6+", 0.0881713897], + ["Ir6+", "Pu4+", 0.2446681905], + ["Pu4+", "Ir6+", 0.2446681905], + ["Ir6+", "Pu5+", 0.1710225961], + ["Pu5+", "Ir6+", 0.1710225961], + ["Ir6+", "H1+", 0.4165457636], + ["H1+", "Ir6+", 0.4165457636], + ["Ir6+", "H1-", -0.0074496674], + ["H1-", "Ir6+", -0.0074496674], + ["Ir6+", "Li1+", 0.2663129633], + ["Li1+", "Ir6+", 0.2663129633], + ["Ir6+", "B1+", 0.1119761342], + ["B1+", "Ir6+", 0.1119761342], + ["Ir6+", "B1-", 0.0449260791], + ["B1-", "Ir6+", 0.0449260791], + ["Ir6+", "C1-", 0.2797945237], + ["C1-", "Ir6+", 0.2797945237], + ["Ir6+", "C1+", 0.2876539396], + ["C1+", "Ir6+", 0.2876539396], + ["Ir6+", "N1-", 0.2579895216], + ["N1-", "Ir6+", 0.2579895216], + ["Ir6+", "N1+", 0.2229173242], + ["N1+", "Ir6+", 0.2229173242], + ["Ir6+", "O1-", 0.1919751895], + ["O1-", "Ir6+", 0.1919751895], + ["Ir6+", "F1-", 0.1558213714], + ["F1-", "Ir6+", 0.1558213714], + ["Ir6+", "Na1+", 0.3301448123], + ["Na1+", "Ir6+", 0.3301448123], + ["Ir6+", "Si1-", 0.0011128186], + ["Si1-", "Ir6+", 0.0011128186], + ["Ir6+", "P1+", 0.0910710631], + ["P1+", "Ir6+", 0.0910710631], + ["Ir6+", "P1-", 0.0161256034], + ["P1-", "Ir6+", 0.0161256034], + ["Ir6+", "S1-", 0.1199865776], + ["S1-", "Ir6+", 0.1199865776], + ["Ir6+", "S1+", 0.2279105027], + ["S1+", "Ir6+", 0.2279105027], + ["Ir6+", "Cl1-", 0.2132993478], + ["Cl1-", "Ir6+", 0.2132993478], + ["Ir6+", "K1+", 0.4030051839], + ["K1+", "Ir6+", 0.4030051839], + ["Ir6+", "Sc1+", 0.0192887816], + ["Sc1+", "Ir6+", 0.0192887816], + ["Ir6+", "Mn1+", 0.0414037106], + ["Mn1+", "Ir6+", 0.0414037106], + ["Ir6+", "Fe1+", -0.1298287377], + ["Fe1+", "Ir6+", -0.1298287377], + ["Ir6+", "Co1+", -0.1745443934], + ["Co1+", "Ir6+", -0.1745443934], + ["Ir6+", "Ni1+", -0.1648178413], + ["Ni1+", "Ir6+", -0.1648178413], + ["Ir6+", "Cu1+", 0.0992518339], + ["Cu1+", "Ir6+", 0.0992518339], + ["Ir6+", "Ga1+", 0.129877099], + ["Ga1+", "Ir6+", 0.129877099], + ["Ir6+", "As1-", -0.0020273648], + ["As1-", "Ir6+", -0.0020273648], + ["Ir6+", "As1+", 0.082247205], + ["As1+", "Ir6+", 0.082247205], + ["Ir6+", "Se1-", 0.2059316265], + ["Se1-", "Ir6+", 0.2059316265], + ["Ir6+", "Se1+", 0.3649095281], + ["Se1+", "Ir6+", 0.3649095281], + ["Ir6+", "Br1-", 0.2520628313], + ["Br1-", "Ir6+", 0.2520628313], + ["Ir6+", "Br1+", 0.3610834678], + ["Br1+", "Ir6+", 0.3610834678], + ["Ir6+", "Rb1+", 0.4550200657], + ["Rb1+", "Ir6+", 0.4550200657], + ["Ir6+", "Y1+", -0.0463435461], + ["Y1+", "Ir6+", -0.0463435461], + ["Ir6+", "Zr1+", -0.1080461576], + ["Zr1+", "Ir6+", -0.1080461576], + ["Ir6+", "Nb1+", -0.0202169116], + ["Nb1+", "Ir6+", -0.0202169116], + ["Ir6+", "Tc1-", -0.1316826047], + ["Tc1-", "Ir6+", -0.1316826047], + ["Ir6+", "Tc1+", -0.0433278536], + ["Tc1+", "Ir6+", -0.0433278536], + ["Ir6+", "Rh1+", -0.0335532388], + ["Rh1+", "Ir6+", -0.0335532388], + ["Ir6+", "Ag1+", 0.2371570111], + ["Ag1+", "Ir6+", 0.2371570111], + ["Ir6+", "In1+", 0.1561975575], + ["In1+", "Ir6+", 0.1561975575], + ["Ir6+", "Sb1-", 0.05408998], + ["Sb1-", "Ir6+", 0.05408998], + ["Ir6+", "Sb1+", 0.071647848], + ["Sb1+", "Ir6+", 0.071647848], + ["Ir6+", "Te1-", 0.2641944717], + ["Te1-", "Ir6+", 0.2641944717], + ["Ir6+", "Te1+", 0.2511668806], + ["Te1+", "Ir6+", 0.2511668806], + ["Ir6+", "I1-", 0.1927050095], + ["I1-", "Ir6+", 0.1927050095], + ["Ir6+", "I1+", 0.4090959667], + ["I1+", "Ir6+", 0.4090959667], + ["Ir6+", "Cs1+", 0.4405855802], + ["Cs1+", "Ir6+", 0.4405855802], + ["Ir6+", "La1+", -0.0431619858], + ["La1+", "Ir6+", -0.0431619858], + ["Ir6+", "Tb1+", 0.1449438562], + ["Tb1+", "Ir6+", 0.1449438562], + ["Ir6+", "Ta1+", -0.0846310544], + ["Ta1+", "Ir6+", -0.0846310544], + ["Ir6+", "Os1-", 0.0213707359], + ["Os1-", "Ir6+", 0.0213707359], + ["Ir6+", "Os1+", 0.2769156697], + ["Os1+", "Ir6+", 0.2769156697], + 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"Ni1+", 0.2153134224], + ["Ni1+", "Au1-", -0.118277425], + ["Au1-", "Ni1+", -0.118277425], + ["Ni1+", "Au1+", 0.1625237499], + ["Au1+", "Ni1+", 0.1625237499], + ["Ni1+", "Hg1+", -0.0087880269], + ["Hg1+", "Ni1+", -0.0087880269], + ["Ni1+", "Tl1+", 0.0028771696], + ["Tl1+", "Ni1+", 0.0028771696], + ["Ni1+", "Bi1+", 0.0580057121], + ["Bi1+", "Ni1+", 0.0580057121], + ["Cu1+", "Cu1+", 1.0], + ["Cu1+", "Ga1+", 0.3026775345], + ["Ga1+", "Cu1+", 0.3026775345], + ["Cu1+", "As1-", 0.1378294018], + ["As1-", "Cu1+", 0.1378294018], + ["Cu1+", "As1+", 0.416633306], + ["As1+", "Cu1+", 0.416633306], + ["Cu1+", "Se1-", 0.1743523866], + ["Se1-", "Cu1+", 0.1743523866], + ["Cu1+", "Se1+", 0.1591850263], + ["Se1+", "Cu1+", 0.1591850263], + ["Cu1+", "Br1-", 0.2089218774], + ["Br1-", "Cu1+", 0.2089218774], + ["Cu1+", "Br1+", 0.0737028015], + ["Br1+", "Cu1+", 0.0737028015], + ["Cu1+", "Rb1+", 0.4104353143], + ["Rb1+", "Cu1+", 0.4104353143], + ["Cu1+", "Y1+", 0.1084301727], + ["Y1+", "Cu1+", 0.1084301727], + ["Cu1+", "Zr1+", 0.3546747448], + ["Zr1+", "Cu1+", 0.3546747448], + ["Cu1+", "Nb1+", 0.4472737153], + ["Nb1+", "Cu1+", 0.4472737153], + ["Cu1+", "Tc1-", 0.0910149614], + ["Tc1-", "Cu1+", 0.0910149614], + ["Cu1+", "Tc1+", 0.3901695732], + ["Tc1+", "Cu1+", 0.3901695732], + ["Cu1+", "Rh1+", 0.5356852444], + ["Rh1+", "Cu1+", 0.5356852444], + ["Cu1+", "Ag1+", 0.7051210313], + ["Ag1+", "Cu1+", 0.7051210313], + ["Cu1+", "In1+", 0.2930550111], + ["In1+", "Cu1+", 0.2930550111], + ["Cu1+", "Sb1-", 0.0371361658], + ["Sb1-", "Cu1+", 0.0371361658], + ["Cu1+", "Sb1+", -0.0172721355], + ["Sb1+", "Cu1+", -0.0172721355], + ["Cu1+", "Te1-", 0.0694335004], + ["Te1-", "Cu1+", 0.0694335004], + ["Cu1+", "Te1+", 0.3021395012], + ["Te1+", "Cu1+", 0.3021395012], + ["Cu1+", "I1-", 0.1448272461], + ["I1-", "Cu1+", 0.1448272461], + ["Cu1+", "I1+", -0.0465015999], + ["I1+", "Cu1+", -0.0465015999], + ["Cu1+", "Cs1+", 0.3899553465], + ["Cs1+", "Cu1+", 0.3899553465], + ["Cu1+", "La1+", 0.138304147], + ["La1+", "Cu1+", 0.138304147], + ["Cu1+", "Tb1+", 0.2903640424], + ["Tb1+", "Cu1+", 0.2903640424], + ["Cu1+", "Ta1+", 0.5774091127], + ["Ta1+", "Cu1+", 0.5774091127], + ["Cu1+", "Os1-", 0.4051519055], + ["Os1-", "Cu1+", 0.4051519055], + ["Cu1+", "Os1+", -0.1336756146], + ["Os1+", "Cu1+", -0.1336756146], + ["Cu1+", "Pt1-", 0.3083188752], + ["Pt1-", "Cu1+", 0.3083188752], + ["Cu1+", "Pt1+", 0.1161796097], + ["Pt1+", "Cu1+", 0.1161796097], + ["Cu1+", "Au1-", 0.0060911905], + ["Au1-", "Cu1+", 0.0060911905], + ["Cu1+", "Au1+", 0.415615163], + ["Au1+", "Cu1+", 0.415615163], + ["Cu1+", "Hg1+", 0.1547379592], + ["Hg1+", "Cu1+", 0.1547379592], + ["Cu1+", "Tl1+", 0.4783855537], + ["Tl1+", "Cu1+", 0.4783855537], + ["Cu1+", "Bi1+", 0.2703586677], + ["Bi1+", "Cu1+", 0.2703586677], + ["Ga1+", "Ga1+", 1.0], + ["Ga1+", "As1-", 0.1164866519], + ["As1-", "Ga1+", 0.1164866519], + ["Ga1+", "As1+", -0.0902558245], + ["As1+", "Ga1+", -0.0902558245], + ["Ga1+", "Se1-", 0.1836954557], + ["Se1-", "Ga1+", 0.1836954557], + ["Ga1+", "Se1+", 0.1770223827], + ["Se1+", "Ga1+", 0.1770223827], + ["Ga1+", "Br1-", 0.1830711189], + ["Br1-", "Ga1+", 0.1830711189], + ["Ga1+", "Br1+", 0.3527147994], + ["Br1+", "Ga1+", 0.3527147994], + ["Ga1+", "Rb1+", 0.3392239701], + ["Rb1+", "Ga1+", 0.3392239701], + ["Ga1+", "Y1+", 0.1975745337], + ["Y1+", "Ga1+", 0.1975745337], + ["Ga1+", "Zr1+", 0.4860918688], + ["Zr1+", "Ga1+", 0.4860918688], + ["Ga1+", "Nb1+", 0.4573414752], + ["Nb1+", "Ga1+", 0.4573414752], + ["Ga1+", "Tc1-", 0.0731656167], + ["Tc1-", "Ga1+", 0.0731656167], + ["Ga1+", "Tc1+", 0.3363119754], + ["Tc1+", "Ga1+", 0.3363119754], + ["Ga1+", "Rh1+", 0.3691280835], + ["Rh1+", "Ga1+", 0.3691280835], + ["Ga1+", "Ag1+", 0.3023995555], + ["Ag1+", "Ga1+", 0.3023995555], + ["Ga1+", "In1+", 0.4154184796], + ["In1+", "Ga1+", 0.4154184796], + ["Ga1+", "Sb1-", 0.0762729601], + ["Sb1-", "Ga1+", 0.0762729601], + ["Ga1+", "Sb1+", -0.1630282951], + ["Sb1+", "Ga1+", -0.1630282951], + ["Ga1+", "Te1-", 0.0450654416], + ["Te1-", "Ga1+", 0.0450654416], + ["Ga1+", "Te1+", 0.2977432339], + ["Te1+", "Ga1+", 0.2977432339], + ["Ga1+", "I1-", 0.1445194905], + ["I1-", "Ga1+", 0.1445194905], + ["Ga1+", "I1+", 0.2071887058], + ["I1+", "Ga1+", 0.2071887058], + ["Ga1+", "Cs1+", 0.244683956], + ["Cs1+", "Ga1+", 0.244683956], + ["Ga1+", "La1+", 0.2834173031], + ["La1+", "Ga1+", 0.2834173031], + ["Ga1+", "Tb1+", 0.3697394126], + ["Tb1+", "Ga1+", 0.3697394126], + ["Ga1+", "Ta1+", 0.3044214027], + ["Ta1+", "Ga1+", 0.3044214027], + ["Ga1+", "Os1-", 0.0451326045], + ["Os1-", "Ga1+", 0.0451326045], + ["Ga1+", "Os1+", 0.2018110266], + ["Os1+", "Ga1+", 0.2018110266], + ["Ga1+", "Pt1-", 0.1060867403], + ["Pt1-", "Ga1+", 0.1060867403], + ["Ga1+", "Pt1+", 0.2266703754], + ["Pt1+", "Ga1+", 0.2266703754], + ["Ga1+", "Au1-", -0.0252754865], + ["Au1-", "Ga1+", -0.0252754865], + ["Ga1+", "Au1+", 0.2877854947], + ["Au1+", "Ga1+", 0.2877854947], + ["Ga1+", "Hg1+", 0.2966233407], + ["Hg1+", "Ga1+", 0.2966233407], + ["Ga1+", "Tl1+", 0.2741967821], + ["Tl1+", "Ga1+", 0.2741967821], + ["Ga1+", "Bi1+", -0.0117010404], + ["Bi1+", "Ga1+", -0.0117010404], + ["As1-", "As1-", 1.0], + ["As1-", "As1+", 0.2538761851], + ["As1+", "As1-", 0.2538761851], + ["As1-", "Se1-", 0.3862521417], + ["Se1-", "As1-", 0.3862521417], + ["As1-", "Se1+", 0.0613760124], + ["Se1+", "As1-", 0.0613760124], + ["As1-", "Br1-", 0.2245224897], + ["Br1-", "As1-", 0.2245224897], + ["As1-", "Br1+", -0.0157353264], + ["Br1+", "As1-", -0.0157353264], + ["As1-", "Rb1+", 0.1726757426], + ["Rb1+", "As1-", 0.1726757426], + ["As1-", "Y1+", -0.0344950176], + ["Y1+", "As1-", -0.0344950176], + ["As1-", "Zr1+", 0.0326210557], + ["Zr1+", "As1-", 0.0326210557], + ["As1-", "Nb1+", -0.0101684657], + ["Nb1+", "As1-", -0.0101684657], + ["As1-", "Tc1-", 0.3718654434], + ["Tc1-", "As1-", 0.3718654434], + ["As1-", "Tc1+", 0.1001209386], + ["Tc1+", "As1-", 0.1001209386], + ["As1-", "Rh1+", 0.0431370734], + ["Rh1+", "As1-", 0.0431370734], + ["As1-", "Ag1+", 0.1879022183], + ["Ag1+", "As1-", 0.1879022183], + ["As1-", "In1+", 0.2579346236], + ["In1+", "As1-", 0.2579346236], + ["As1-", "Sb1-", 0.4991224061], + ["Sb1-", "As1-", 0.4991224061], + ["As1-", "Sb1+", -0.0591630133], + ["Sb1+", "As1-", -0.0591630133], + ["As1-", "Te1-", 0.2933206796], + ["Te1-", "As1-", 0.2933206796], + ["As1-", "Te1+", 0.1083052475], + ["Te1+", "As1-", 0.1083052475], + ["As1-", "I1-", 0.3539818614], + ["I1-", "As1-", 0.3539818614], + ["As1-", "I1+", 0.0170859429], + ["I1+", "As1-", 0.0170859429], + ["As1-", "Cs1+", 0.1251792209], + ["Cs1+", "As1-", 0.1251792209], + ["As1-", "La1+", -0.0788206466], + ["La1+", "As1-", -0.0788206466], + ["As1-", "Tb1+", -0.0841455907], + ["Tb1+", "As1-", -0.0841455907], + ["As1-", "Ta1+", 0.0940749889], + ["Ta1+", "As1-", 0.0940749889], + ["As1-", "Os1-", 0.031543122], + ["Os1-", "As1-", 0.031543122], + ["As1-", "Os1+", -0.1467657375], + ["Os1+", "As1-", -0.1467657375], + ["As1-", "Pt1-", 0.3010768482], + ["Pt1-", "As1-", 0.3010768482], + ["As1-", "Pt1+", -0.0878711961], + ["Pt1+", "As1-", -0.0878711961], + ["As1-", "Au1-", -0.1180345184], + ["Au1-", "As1-", -0.1180345184], + ["As1-", "Au1+", 0.1429333766], + ["Au1+", "As1-", 0.1429333766], + ["As1-", "Hg1+", 0.0131661158], + ["Hg1+", "As1-", 0.0131661158], + ["As1-", "Tl1+", 0.1768724155], + ["Tl1+", "As1-", 0.1768724155], + ["As1-", "Bi1+", 0.0648320647], + ["Bi1+", "As1-", 0.0648320647], + ["As1+", "As1+", 1.0], + ["As1+", "Se1-", 0.1205716936], + ["Se1-", "As1+", 0.1205716936], + ["As1+", "Se1+", 0.1521357912], + ["Se1+", "As1+", 0.1521357912], + ["As1+", "Br1-", 0.1709582008], + ["Br1-", "As1+", 0.1709582008], + ["As1+", "Br1+", -0.0418575272], + ["Br1+", "As1+", -0.0418575272], + ["As1+", "Rb1+", 0.2223433321], + ["Rb1+", "As1+", 0.2223433321], + ["As1+", "Y1+", -0.0465154833], + ["Y1+", "As1+", -0.0465154833], + ["As1+", "Zr1+", -0.0641729425], + ["Zr1+", "As1+", -0.0641729425], + ["As1+", "Nb1+", 0.1446752052], + ["Nb1+", "As1+", 0.1446752052], + ["As1+", "Tc1-", 0.2341890011], + ["Tc1-", "As1+", 0.2341890011], + ["As1+", "Tc1+", 0.1742687709], + ["Tc1+", "As1+", 0.1742687709], + ["As1+", "Rh1+", 0.110009572], + ["Rh1+", "As1+", 0.110009572], + ["As1+", "Ag1+", 0.3997351511], + ["Ag1+", "As1+", 0.3997351511], + ["As1+", "In1+", 0.2777130271], + ["In1+", "As1+", 0.2777130271], + ["As1+", "Sb1-", 0.2654977258], + ["Sb1-", "As1+", 0.2654977258], + ["As1+", "Sb1+", 0.2998793527], + ["Sb1+", "As1+", 0.2998793527], + ["As1+", "Te1-", 0.0973563497], + ["Te1-", "As1+", 0.0973563497], + ["As1+", "Te1+", 0.0890937914], + ["Te1+", "As1+", 0.0890937914], + ["As1+", "I1-", 0.1436788471], + ["I1-", "As1+", 0.1436788471], + ["As1+", "I1+", -0.0239810319], + ["I1+", "As1+", -0.0239810319], + ["As1+", "Cs1+", 0.2437201571], + ["Cs1+", "As1+", 0.2437201571], + ["As1+", "La1+", -0.0076564666], + ["La1+", "As1+", -0.0076564666], + ["As1+", "Tb1+", -0.0754296117], + ["Tb1+", "As1+", -0.0754296117], + ["As1+", "Ta1+", 0.2912898221], + ["Ta1+", "As1+", 0.2912898221], + ["As1+", "Os1-", 0.2385471335], + ["Os1-", "As1+", 0.2385471335], + ["As1+", "Os1+", -0.0483524642], + ["Os1+", "As1+", -0.0483524642], + ["As1+", "Pt1-", 0.3304749204], + ["Pt1-", "As1+", 0.3304749204], + ["As1+", "Pt1+", 0.2484097286], + ["Pt1+", "As1+", 0.2484097286], + ["As1+", "Au1-", -0.0481976856], + ["Au1-", "As1+", -0.0481976856], + ["As1+", "Au1+", 0.036931309], + ["Au1+", "As1+", 0.036931309], + ["As1+", "Hg1+", 0.0130955351], + ["Hg1+", "As1+", 0.0130955351], + ["As1+", "Tl1+", 0.3771831629], + ["Tl1+", "As1+", 0.3771831629], + ["As1+", "Bi1+", 0.3548996031], + ["Bi1+", "As1+", 0.3548996031], + ["Se1-", "Se1-", 1.0], + ["Se1-", "Se1+", 0.1281937292], + ["Se1+", "Se1-", 0.1281937292], + ["Se1-", "Br1-", 0.443271623], + ["Br1-", "Se1-", 0.443271623], + ["Se1-", "Br1+", 0.1418149408], + ["Br1+", "Se1-", 0.1418149408], + ["Se1-", "Rb1+", 0.3345699151], + ["Rb1+", "Se1-", 0.3345699151], + ["Se1-", "Y1+", -0.1156378647], + ["Y1+", "Se1-", -0.1156378647], + ["Se1-", "Zr1+", -0.1364166928], + ["Zr1+", "Se1-", -0.1364166928], + ["Se1-", "Nb1+", -0.1064798257], + ["Nb1+", "Se1-", -0.1064798257], + ["Se1-", "Tc1-", 0.2780234023], + ["Tc1-", "Se1-", 0.2780234023], + ["Se1-", "Tc1+", 0.0457825634], + ["Tc1+", "Se1-", 0.0457825634], + ["Se1-", "Rh1+", 0.0331825788], + ["Rh1+", "Se1-", 0.0331825788], + ["Se1-", "Ag1+", 0.3519533095], + ["Ag1+", "Se1-", 0.3519533095], + ["Se1-", "In1+", 0.2199414727], + ["In1+", "Se1-", 0.2199414727], + ["Se1-", "Sb1-", 0.2975241056], + ["Sb1-", "Se1-", 0.2975241056], + ["Se1-", "Sb1+", 0.1289162073], + ["Sb1+", "Se1-", 0.1289162073], + ["Se1-", "Te1-", 0.5836840215], + ["Te1-", "Se1-", 0.5836840215], + ["Se1-", "Te1+", 0.247554309], + ["Te1+", "Se1-", 0.247554309], + ["Se1-", "I1-", 0.408784666], + ["I1-", "Se1-", 0.408784666], + ["Se1-", "I1+", 0.1772478791], + ["I1+", "Se1-", 0.1772478791], + ["Se1-", "Cs1+", 0.3882204095], + ["Cs1+", "Se1-", 0.3882204095], + ["Se1-", "La1+", -0.0032572375], + ["La1+", "Se1-", -0.0032572375], + ["Se1-", "Tb1+", 0.0492361178], + ["Tb1+", "Se1-", 0.0492361178], + ["Se1-", "Ta1+", -0.0840190626], + ["Ta1+", "Se1-", -0.0840190626], + ["Se1-", "Os1-", 0.1455080214], + ["Os1-", "Se1-", 0.1455080214], + ["Se1-", "Os1+", 0.0972099728], + ["Os1+", "Se1-", 0.0972099728], + ["Se1-", "Pt1-", 0.3474520654], + ["Pt1-", "Se1-", 0.3474520654], + ["Se1-", "Pt1+", -0.2155193605], + ["Pt1+", "Se1-", -0.2155193605], + ["Se1-", "Au1-", 0.0521488825], + ["Au1-", "Se1-", 0.0521488825], + ["Se1-", "Au1+", 0.2106328054], + ["Au1+", "Se1-", 0.2106328054], + ["Se1-", "Hg1+", 0.206310858], + ["Hg1+", "Se1-", 0.206310858], + ["Se1-", "Tl1+", 0.503555068], + ["Tl1+", "Se1-", 0.503555068], + ["Se1-", "Bi1+", 0.0847517315], + ["Bi1+", "Se1-", 0.0847517315], + ["Se1+", "Se1+", 1.0], + ["Se1+", "Br1-", 0.2868436259], + ["Br1-", "Se1+", 0.2868436259], + ["Se1+", "Br1+", 0.3228740191], + ["Br1+", "Se1+", 0.3228740191], + ["Se1+", "Rb1+", 0.3973931389], + ["Rb1+", "Se1+", 0.3973931389], + ["Se1+", "Y1+", 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["Te1+", "Ta1+", 0.0647111001], + ["Ta1+", "Te1+", 0.0647111001], + ["Te1+", "Os1-", -0.0035549341], + ["Os1-", "Te1+", -0.0035549341], + ["Te1+", "Os1+", 0.2872537291], + ["Os1+", "Te1+", 0.2872537291], + ["Te1+", "Pt1-", 0.0487532728], + ["Pt1-", "Te1+", 0.0487532728], + ["Te1+", "Pt1+", 0.0578415526], + ["Pt1+", "Te1+", 0.0578415526], + ["Te1+", "Au1-", 0.09161118], + ["Au1-", "Te1+", 0.09161118], + ["Te1+", "Au1+", 0.4384039717], + ["Au1+", "Te1+", 0.4384039717], + ["Te1+", "Hg1+", 0.3726071498], + ["Hg1+", "Te1+", 0.3726071498], + ["Te1+", "Tl1+", 0.447254243], + ["Tl1+", "Te1+", 0.447254243], + ["Te1+", "Bi1+", 0.2369796047], + ["Bi1+", "Te1+", 0.2369796047], + ["I1-", "I1-", 1.0], + ["I1-", "I1+", 0.1474053975], + ["I1+", "I1-", 0.1474053975], + ["I1-", "Cs1+", 0.2392198388], + ["Cs1+", "I1-", 0.2392198388], + ["I1-", "La1+", 0.1504152322], + ["La1+", "I1-", 0.1504152322], + ["I1-", "Tb1+", 0.0533946285], + ["Tb1+", "I1-", 0.0533946285], + ["I1-", "Ta1+", -0.0526083664], + ["Ta1+", "I1-", -0.0526083664], + ["I1-", "Os1-", 0.1064350892], + ["Os1-", "I1-", 0.1064350892], + ["I1-", "Os1+", -0.0524242463], + ["Os1+", "I1-", -0.0524242463], + ["I1-", "Pt1-", 0.1261480057], + ["Pt1-", "I1-", 0.1261480057], + ["I1-", "Pt1+", -0.0006039096], + ["Pt1+", "I1-", -0.0006039096], + ["I1-", "Au1-", -0.0797087644], + ["Au1-", "I1-", -0.0797087644], + ["I1-", "Au1+", 0.2000491457], + ["Au1+", "I1-", 0.2000491457], + ["I1-", "Hg1+", 0.3260217785], + ["Hg1+", "I1-", 0.3260217785], + ["I1-", "Tl1+", 0.4080605068], + ["Tl1+", "I1-", 0.4080605068], + ["I1-", "Bi1+", 0.1642477944], + ["Bi1+", "I1-", 0.1642477944], + ["I1+", "I1+", 1.0], + ["I1+", "Cs1+", 0.2969816011], + ["Cs1+", "I1+", 0.2969816011], + ["I1+", "La1+", -0.0412920822], + ["La1+", "I1+", -0.0412920822], + ["I1+", "Tb1+", 0.0704984525], + ["Tb1+", "I1+", 0.0704984525], + ["I1+", "Ta1+", -0.1622742359], + ["Ta1+", "I1+", -0.1622742359], + ["I1+", "Os1-", -0.1238578773], + ["Os1-", "I1+", -0.1238578773], + ["I1+", "Os1+", 0.349028501], + ["Os1+", "I1+", 0.349028501], + ["I1+", "Pt1-", -0.1968697769], + ["Pt1-", "I1+", -0.1968697769], + ["I1+", "Pt1+", 0.0489195801], + ["Pt1+", "I1+", 0.0489195801], + ["I1+", "Au1-", 0.153762997], + ["Au1-", "I1+", 0.153762997], + ["I1+", "Au1+", 0.1480166883], + ["Au1+", "I1+", 0.1480166883], + ["I1+", "Hg1+", 0.2652678239], + ["Hg1+", "I1+", 0.2652678239], + ["I1+", "Tl1+", 0.2765396845], + ["Tl1+", "I1+", 0.2765396845], + ["I1+", "Bi1+", 0.10142647], + ["Bi1+", "I1+", 0.10142647], + ["Cs1+", "Cs1+", 1.0], + ["Cs1+", "La1+", 0.0712480727], + ["La1+", "Cs1+", 0.0712480727], + ["Cs1+", "Tb1+", 0.0677070968], + ["Tb1+", "Cs1+", 0.0677070968], + ["Cs1+", "Ta1+", 0.168913316], + ["Ta1+", "Cs1+", 0.168913316], + ["Cs1+", "Os1-", 0.1968625071], + ["Os1-", "Cs1+", 0.1968625071], + ["Cs1+", "Os1+", 0.1891837077], + ["Os1+", "Cs1+", 0.1891837077], + ["Cs1+", "Pt1-", 0.0335560936], + ["Pt1-", "Cs1+", 0.0335560936], + ["Cs1+", "Pt1+", 0.196554621], + ["Pt1+", "Cs1+", 0.196554621], + ["Cs1+", "Au1-", 0.0616993172], + ["Au1-", "Cs1+", 0.0616993172], + ["Cs1+", "Au1+", 0.4101707206], + ["Au1+", "Cs1+", 0.4101707206], + ["Cs1+", "Hg1+", 0.4531598838], + ["Hg1+", "Cs1+", 0.4531598838], + ["Cs1+", "Tl1+", 0.701731157], + ["Tl1+", "Cs1+", 0.701731157], + ["Cs1+", "Bi1+", 0.2484421765], + ["Bi1+", "Cs1+", 0.2484421765], + ["La1+", "La1+", 1.0], + ["La1+", "Tb1+", 0.5723510687], + ["Tb1+", "La1+", 0.5723510687], + ["La1+", "Ta1+", 0.1323783224], + ["Ta1+", "La1+", 0.1323783224], + ["La1+", "Os1-", -0.0356870559], + ["Os1-", "La1+", -0.0356870559], + ["La1+", "Os1+", 0.0381421459], + ["Os1+", "La1+", 0.0381421459], + ["La1+", "Pt1-", -0.0949790484], + ["Pt1-", "La1+", -0.0949790484], + ["La1+", "Pt1+", 0.2839304964], + ["Pt1+", "La1+", 0.2839304964], + ["La1+", "Au1-", 0.0089676543], + ["Au1-", "La1+", 0.0089676543], + ["La1+", "Au1+", 0.201484105], + ["Au1+", "La1+", 0.201484105], + ["La1+", "Hg1+", 0.2474415783], + ["Hg1+", "La1+", 0.2474415783], + ["La1+", "Tl1+", 0.0183323506], + ["Tl1+", "La1+", 0.0183323506], + ["La1+", "Bi1+", 0.3142553226], + ["Bi1+", "La1+", 0.3142553226], + ["Tb1+", "Tb1+", 1.0], + ["Tb1+", "Ta1+", 0.1975792482], + ["Ta1+", "Tb1+", 0.1975792482], + ["Tb1+", "Os1-", -0.0547782983], + ["Os1-", "Tb1+", -0.0547782983], + ["Tb1+", "Os1+", 0.255760669], + ["Os1+", "Tb1+", 0.255760669], + ["Tb1+", "Pt1-", 0.0072925115], + ["Pt1-", "Tb1+", 0.0072925115], + ["Tb1+", "Pt1+", 0.1913027282], + ["Pt1+", "Tb1+", 0.1913027282], + ["Tb1+", "Au1-", 0.1305415177], + ["Au1-", "Tb1+", 0.1305415177], + ["Tb1+", "Au1+", 0.3428114598], + ["Au1+", "Tb1+", 0.3428114598], + ["Tb1+", "Hg1+", 0.3488841976], + ["Hg1+", "Tb1+", 0.3488841976], + ["Tb1+", "Tl1+", 0.0766049513], + ["Tl1+", "Tb1+", 0.0766049513], + ["Tb1+", "Bi1+", 0.2702105901], + ["Bi1+", "Tb1+", 0.2702105901], + ["Ta1+", "Ta1+", 1.0], + ["Ta1+", "Os1-", 0.4471494972], + ["Os1-", "Ta1+", 0.4471494972], + ["Ta1+", "Os1+", -0.1461842386], + ["Os1+", "Ta1+", -0.1461842386], + ["Ta1+", "Pt1-", 0.3169549732], + ["Pt1-", "Ta1+", 0.3169549732], + ["Ta1+", "Pt1+", 0.1642103992], + ["Pt1+", "Ta1+", 0.1642103992], + ["Ta1+", "Au1-", -0.1242017771], + ["Au1-", "Ta1+", -0.1242017771], + ["Ta1+", "Au1+", 0.1971914253], + ["Au1+", "Ta1+", 0.1971914253], + ["Ta1+", "Hg1+", -0.1627920262], + ["Hg1+", "Ta1+", -0.1627920262], + ["Ta1+", "Tl1+", 0.2388132471], + ["Tl1+", "Ta1+", 0.2388132471], + ["Ta1+", "Bi1+", 0.1429242487], + ["Bi1+", "Ta1+", 0.1429242487], + ["Os1-", "Os1-", 1.0], + ["Os1-", "Os1+", -0.0362431593], + ["Os1+", "Os1-", -0.0362431593], + ["Os1-", "Pt1-", 0.3174791947], + ["Pt1-", "Os1-", 0.3174791947], + ["Os1-", "Pt1+", 0.0666881378], + ["Pt1+", "Os1-", 0.0666881378], + ["Os1-", "Au1-", 0.1144647378], + ["Au1-", "Os1-", 0.1144647378], + ["Os1-", "Au1+", 0.2691830864], + ["Au1+", "Os1-", 0.2691830864], + ["Os1-", "Hg1+", -0.2352682821], + ["Hg1+", "Os1-", -0.2352682821], + ["Os1-", "Tl1+", 0.2297604992], + ["Tl1+", "Os1-", 0.2297604992], + ["Os1-", "Bi1+", 0.1771039405], + ["Bi1+", "Os1-", 0.1771039405], + ["Os1+", "Os1+", 1.0], + ["Os1+", "Pt1-", -0.0585763611], + ["Pt1-", "Os1+", -0.0585763611], + ["Os1+", "Pt1+", 0.2961884644], + ["Pt1+", "Os1+", 0.2961884644], + ["Os1+", "Au1-", 0.1861145192], + ["Au1-", "Os1+", 0.1861145192], + ["Os1+", "Au1+", 0.1893577605], + ["Au1+", "Os1+", 0.1893577605], + ["Os1+", "Hg1+", 0.4050224856], + ["Hg1+", "Os1+", 0.4050224856], + ["Os1+", "Tl1+", 0.2095513247], + ["Tl1+", "Os1+", 0.2095513247], + ["Os1+", "Bi1+", 0.1794991989], + ["Bi1+", "Os1+", 0.1794991989], + ["Pt1-", "Pt1-", 1.0], + ["Pt1-", "Pt1+", -0.1080473048], + ["Pt1+", "Pt1-", -0.1080473048], + ["Pt1-", "Au1-", 0.1263967269], + ["Au1-", "Pt1-", 0.1263967269], + ["Pt1-", "Au1+", -0.0861750161], + ["Au1+", "Pt1-", -0.0861750161], + ["Pt1-", "Hg1+", -0.1123578535], + ["Hg1+", "Pt1-", -0.1123578535], + ["Pt1-", "Tl1+", 0.2896729126], + ["Tl1+", "Pt1-", 0.2896729126], + ["Pt1-", "Bi1+", 0.1913819766], + ["Bi1+", "Pt1-", 0.1913819766], + ["Pt1+", "Pt1+", 1.0], + ["Pt1+", "Au1-", -0.0565861906], + ["Au1-", "Pt1+", -0.0565861906], + ["Pt1+", "Au1+", 0.1198806105], + ["Au1+", "Pt1+", 0.1198806105], + ["Pt1+", "Hg1+", 0.1656482731], + ["Hg1+", "Pt1+", 0.1656482731], + ["Pt1+", "Tl1+", 0.1456361595], + ["Tl1+", "Pt1+", 0.1456361595], + ["Pt1+", "Bi1+", 0.1719490882], + ["Bi1+", "Pt1+", 0.1719490882], + ["Au1-", "Au1-", 1.0], + ["Au1-", "Au1+", 0.1983581899], + ["Au1+", "Au1-", 0.1983581899], + ["Au1-", "Hg1+", 0.0070155973], + ["Hg1+", "Au1-", 0.0070155973], + ["Au1-", "Tl1+", 0.0767973909], + ["Tl1+", "Au1-", 0.0767973909], + ["Au1-", "Bi1+", 0.0459231554], + ["Bi1+", "Au1-", 0.0459231554], + ["Au1+", "Au1+", 1.0], + ["Au1+", "Hg1+", 0.2680031691], + ["Hg1+", "Au1+", 0.2680031691], + ["Au1+", "Tl1+", 0.4557389005], + ["Tl1+", "Au1+", 0.4557389005], + ["Au1+", "Bi1+", 0.0435993864], + ["Bi1+", "Au1+", 0.0435993864], + ["Hg1+", "Hg1+", 1.0], + ["Hg1+", "Tl1+", 0.5230959151], + ["Tl1+", "Hg1+", 0.5230959151], + ["Hg1+", "Bi1+", 0.2764185216], + ["Bi1+", "Hg1+", 0.2764185216], + ["Tl1+", "Tl1+", 1.0], + ["Tl1+", "Bi1+", 0.2612879459], + ["Bi1+", "Tl1+", 0.2612879459], + ["Bi1+", "Bi1+", 1.0] +] diff --git a/smact/data_loader.py b/smact/data_loader.py index e664e999..81c633f5 100644 --- a/smact/data_loader.py +++ b/smact/data_loader.py @@ -6,13 +6,17 @@ transparent data-caching system to avoid a large amount of I/O when naively constructing several of these objects. It also implements a switchable system to print verbose warning messages about possible -missing data (mainly for debugging purposes). In general these fuctions +missing data (mainly for debugging purposes). In general these functions are used in the background and it is not necessary to use them directly. """ +from __future__ import annotations + import csv import os +import pandas as pd + from smact import data_directory # Module-level switch: print "verbose" warning messages @@ -21,22 +25,24 @@ def set_warnings(enable=True): - """Set verbose warning messages on and off. + """ + Set verbose warning messages on and off. In order to see any of the warnings, this function needs to be called _before_ the first call to the smact.Element() constructor. Args: + ---- enable (bool) : print verbose warning messages. - """ + """ global _print_warnings _print_warnings = enable def _get_data_rows(filename): - """Generator for datafile entries by row""" + """Generator for datafile entries by row.""" with open(filename) as file: for line in file: line = line.strip() @@ -63,6 +69,7 @@ def lookup_element_oxidation_states(symbol, copy=True): most exhaustive list. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -70,23 +77,20 @@ def lookup_element_oxidation_states(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Returns None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states if _el_ox_states is None: _el_ox_states = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states.txt") - ): - _el_ox_states[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states.txt")): + _el_ox_states[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states: if copy: @@ -94,15 +98,12 @@ def lookup_element_oxidation_states(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [oxidationState for oxidationState in _el_ox_states[symbol]] + return list(_el_ox_states[symbol]) else: return _el_ox_states[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -116,6 +117,7 @@ def lookup_element_oxidation_states_icsd(symbol, copy=True): in the ICSD (and judged to be non-spurious). Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -123,39 +125,31 @@ def lookup_element_oxidation_states_icsd(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_icsd if _el_ox_states_icsd is None: _el_ox_states_icsd = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_icsd.txt") - ): - _el_ox_states_icsd[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_icsd.txt")): + _el_ox_states_icsd[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_icsd: if copy: # _el_ox_states_icsd stores lists -> if copy is set, make an implicit # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_icsd[symbol] - ] + return list(_el_ox_states_icsd[symbol]) else: return _el_ox_states_icsd[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {}" - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol}" "not found.") return None @@ -169,6 +163,7 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): are in the Pymatgen default lambda table for structure prediction. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -176,23 +171,20 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_sp if _el_ox_states_sp is None: _el_ox_states_sp = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_SP.txt") - ): - _el_ox_states_sp[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_SP.txt")): + _el_ox_states_sp[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_sp: if copy: @@ -200,17 +192,12 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_sp[symbol] - ] + return list(_el_ox_states_sp[symbol]) else: return _el_ox_states_sp[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -224,6 +211,7 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): are on Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements). Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -231,23 +219,20 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_wiki if _el_ox_states_wiki is None: _el_ox_states_wiki = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_wiki.txt") - ): - _el_ox_states_wiki[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_wiki.txt")): + _el_ox_states_wiki[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_wiki: if copy: @@ -255,17 +240,12 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_wiki[symbol] - ] + return list(_el_ox_states_wiki[symbol]) else: return _el_ox_states_wiki[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -278,28 +258,30 @@ def lookup_element_oxidation_states_custom(symbol, filepath, copy=True): The oxidation states list is specified by the user in a text file. Args: + ---- symbol (str) : the atomic symbol of the element to look up. + filepath (str) : the path to the text file containing the + oxidation states data. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached data -- only use copy=False in performance-sensitive code and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_custom if _el_ox_states_custom is None: _el_ox_states_custom = {} for items in _get_data_rows(filepath): - _el_ox_states_custom[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + _el_ox_states_custom[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_custom: if copy: @@ -307,18 +289,12 @@ def lookup_element_oxidation_states_custom(symbol, filepath, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState - for oxidationState in _el_ox_states_custom[symbol] - ] + return list(_el_ox_states_custom[symbol]) else: return _el_ox_states_custom[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -388,15 +364,17 @@ def lookup_element_hhis(symbol): Retrieve the HHI_R and HHI_p scores for an element. Args: + ---- symbol : the atomic symbol of the element to look up. Returns: + ------- tuple : (HHI_p, HHI_R) Return None if values for the elements were not found in the external data. - """ + """ global _element_hhis if _element_hhis is None: @@ -418,9 +396,7 @@ def lookup_element_hhis(symbol): return _element_hhis[symbol] else: if _print_warnings: - print( - "WARNING: HHI data for element " "{} not found.".format(symbol) - ) + print(f"WARNING: HHI data for element {symbol} not found.") return None @@ -430,7 +406,7 @@ def lookup_element_hhis(symbol): _element_data = None -def lookup_element_data(symbol, copy=True): +def lookup_element_data(symbol: str, copy: bool = True): """ Retrieve tabulated data for an element. @@ -440,16 +416,18 @@ def lookup_element_data(symbol, copy=True): constructed from the data table and cached before returning it. Args: + ---- symbol (str) : Atomic symbol for lookup - - copy (Optional(bool)) : if True (default), return a copy of the + copy (bool) : if True (default), return a copy of the data dictionary, rather than a reference to the cached object -- only used copy=False in performance-sensitive code and where you are certain the dictionary will not be modified! - Returns (dict) : Dictionary of data for given element, keyed by - column headings from data/element_data.txt. + Returns: + ------- + dict: Dictionary of data for given element, keyed by column headings from data/element_data.txt. + """ global _element_data if _element_data is None: @@ -468,9 +446,7 @@ def lookup_element_data(symbol, copy=True): "ion_pot", "dipol", ) - for items in _get_data_rows( - os.path.join(data_directory, "element_data.txt") - ): + for items in _get_data_rows(os.path.join(data_directory, "element_data.txt")): # First two columns are strings and should be left intact # Everything else is numerical and should be cast to a float # or, if not clearly a number, to None @@ -491,7 +467,7 @@ def lookup_element_data(symbol, copy=True): return _element_data[symbol] else: if _print_warnings: - print("WARNING: Elemental data for {}" " not found.".format(symbol)) + print(f"WARNING: Elemental data for {symbol} not found.") print(_element_data) return None @@ -509,6 +485,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): environments of an element. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the data @@ -517,6 +494,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): you are certain the dictionary will not be modified! Returns: + ------- list: Shannon radii datasets. @@ -535,8 +513,8 @@ def lookup_element_shannon_radius_data(symbol, copy=True): *float* comment *str* - """ + """ global _element_shannon_radii_data if _element_shannon_radii_data is None: @@ -581,10 +559,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): return _element_shannon_radii_data[symbol] else: if _print_warnings: - print( - "WARNING: Shannon-radius data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Shannon-radius data for element {symbol} not " "found.") return None @@ -610,6 +585,7 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): arXiv preprint arXiv:2101.00269. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the data @@ -618,6 +594,7 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): you are certain the dictionary will not be modified! Returns: + ------- list: Extended Shannon radii datasets. @@ -634,16 +611,14 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): *float* comment *str* - """ + """ global _element_shannon_radii_data_extendedML if _element_shannon_radii_data_extendedML is None: _element_shannon_radii_data_extendedML = {} - with open( - os.path.join(data_directory, "shannon_radii_ML_extended.csv") - ) as file: + with open(os.path.join(data_directory, "shannon_radii_ML_extended.csv")) as file: reader = csv.reader(file) # Skip the first row (headers). @@ -677,18 +652,12 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): # function on each element. # The dictionary values are all Python "value types", so # nothing further is required to make a deep copy. - return [ - item.copy() - for item in _element_shannon_radii_data_extendedML[symbol] - ] + return [item.copy() for item in _element_shannon_radii_data_extendedML[symbol]] else: return _element_shannon_radii_data_extendedML[symbol] else: if _print_warnings: - print( - "WARNING: Extended Shannon-radius data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Extended Shannon-radius data for element {symbol} not " "found.") return None @@ -706,9 +675,11 @@ def lookup_element_sse_data(symbol): DOI: 10.1021/ja204670s Args: + ---- symbol : the atomic symbol of the element to look up. Returns: + ------- list : SSE datasets for the element, or None if the element was not found among the external data. @@ -726,8 +697,8 @@ def lookup_element_sse_data(symbol): *str* SolidStateRenormalisationEnergy *float* - """ + """ global _element_ssedata if _element_ssedata is None: @@ -752,10 +723,7 @@ def lookup_element_sse_data(symbol): return _element_ssedata[symbol] else: if _print_warnings: - print( - "WARNING: Solid-state energy data for element {} not" - " found.".format(symbol) - ) + print(f"WARNING: Solid-state energy data for element {symbol} not" " found.") return None @@ -775,6 +743,7 @@ def lookup_element_sse2015_data(symbol, copy=True): pp138-144, DOI: 10.1016/j.jssc.2015.07.037. Args: + ---- symbol : the atomic symbol of the element to look up. copy: if True (default), return a copy of the data dictionary, rather than a reference to a cached object -- only use @@ -782,6 +751,7 @@ def lookup_element_sse2015_data(symbol, copy=True): certain the dictionary will not be modified! Returns: + ------- list : SSE datasets for the element, or None if the element was not found among the external data. @@ -791,8 +761,8 @@ def lookup_element_sse2015_data(symbol, copy=True): *int* SolidStateEnergy2015 *float* SSE2015 - """ + """ global _element_sse2015_data if _element_sse2015_data is None: @@ -824,10 +794,7 @@ def lookup_element_sse2015_data(symbol, copy=True): return _element_sse2015_data[symbol] else: if _print_warnings: - print( - "WARNING: Solid-state energy (revised 2015) data for " - "element {} not found.".format(symbol) - ) + print(f"WARNING: Solid-state energy (revised 2015) data for element {symbol} not found.") return None @@ -839,7 +806,8 @@ def lookup_element_sse2015_data(symbol, copy=True): def lookup_element_sse_pauling_data(symbol): - """Retrieve Pauling SSE data + """ + Retrieve Pauling SSE data. Retrieve the solid-state energy (SSEPauling) data for an element from the regression fit when SSE2015 is plotted against Pauling @@ -847,13 +815,14 @@ def lookup_element_sse_pauling_data(symbol): pp138-144, DOI: 10.1016/j.jssc.2015.07.037 Args: + ---- symbol (str) : the atomic symbol of the element to look up. Returns: A dictionary containing the SSE2015 dataset for the element, or None if the element was not found among the external data. - """ + """ global _element_ssepauling_data if _element_ssepauling_data is None: @@ -874,7 +843,128 @@ def lookup_element_sse_pauling_data(symbol): print( "WARNING: Solid-state energy data from Pauling " " electronegativity regression fit for " - " element {} not found.".format(symbol) + f" element {symbol} not found." ) return None + + +_element_magpie_data = None + + +def lookup_element_magpie_data(symbol: str, copy: bool = True): + """ + Retrieve element data contained in the Magpie representation. + + Taken from Ward, L., Agrawal, A., Choudhary, A. et al. + A general-purpose machine learning framework for + predicting properties of inorganic materials. + npj Comput Mater 2, 16028 (2016). + https://doi.org/10.1038/npjcompumats.2016.28 + + Args: + symbol : the atomic symbol of the element to look up. + copy: if True (default), return a copy of the data dictionary, + rather than a reference to a cached object -- only use + copy=False in performance-sensitive code and where you are + certain the dictionary will not be modified! + + Returns: + list: + Magpie features. + Returns None if the element was not found among the external + data. + + Magpie features are dictionaries with the keys: + + + + + """ + global _element_magpie_data + + if _element_magpie_data is None: + _element_magpie_data = {} + + df = pd.read_csv(os.path.join(data_directory, "magpie.csv")) + for _index, row in df.iterrows(): + key = row.iloc[0] + + dataset = { + "Number": int(row.iloc[1]), + "MendeleevNumber": int(row.iloc[2]), + "AtomicWeight": float(row.iloc[3]), + "MeltingT": float(row.iloc[4]), + "Column": int(row.iloc[5]), + "Row": int(row.iloc[6]), + "CovalentRadius": float(row.iloc[7]), + "Electronegativity": float(row.iloc[8]), + "NsValence": int(row.iloc[9]), + "NpValence": int(row.iloc[10]), + "NdValence": int(row.iloc[11]), + "NfValence": int(row.iloc[12]), + "NValence": int(row.iloc[13]), + "NsUnfilled": int(row.iloc[14]), + "NpUnfilled": int(row.iloc[15]), + "NdUnfilled": int(row.iloc[16]), + "NfUnfilled": int(row.iloc[17]), + "NUnfilled": int(row.iloc[18]), + "GSvolume_pa": float(row.iloc[19]), + "GSbandgap": float(row.iloc[20]), + "GSmagmom": float(row.iloc[21]), + "SpaceGroupNumber": int(row.iloc[22]), + } + _element_magpie_data[key] = dataset + + if symbol in _element_magpie_data: + return _element_magpie_data[symbol] + else: + if _print_warnings: + print(f"WARNING: Magpie data for element {symbol} not " "found.") + + return None + + +_element_valence_data = None + + +def lookup_element_valence_data(symbol: str, copy: bool = True): + """ + Retrieve valence electron data. + + For d-block elements, the s and d electrons contribute to NValence. + For p-block elements, the s and p electrons contribute to NValence. + For s- and f-block elements, NValence is calculated from the Noble Gas electron configuration + i.e. + + Args: + symbol : the atomic symbol of the element to look up. + copy: if True (default), return a copy of the data dictionary, + rather than a reference to a cached object -- only use + copy=False in performance-sensitive code and where you are + certain the dictionary will not be modified! + + Returns: + NValence (int): the number of valence electrons + Returns None if the element was not found among the external + data. + """ + global _element_valence_data + + if _element_valence_data is None: + _element_valence_data = {} + + df = pd.read_csv(os.path.join(data_directory, "element_valence_modified.csv")) + for _index, row in df.iterrows(): + key = row.iloc[0] + + dataset = {"NValence": int(row.iloc[1])} + _element_valence_data[key] = dataset + + if symbol in _element_valence_data: + return _element_valence_data[symbol] + else: + if _print_warnings: + print(f"WARNING: Valence data for element {symbol} not " "found.") + + return None diff --git a/smact/distorter.py b/smact/distorter.py index a5caf05d..ac4a41ea 100644 --- a/smact/distorter.py +++ b/smact/distorter.py @@ -9,6 +9,8 @@ for equivalence. """ +from __future__ import annotations + import copy import smact @@ -29,28 +31,33 @@ def get_sg(lattice): Get the space-group of the system. Args: + ---- lattice: the ASE crystal class Returns: sg (int): integer number of the spacegroup + """ spacegroup = spglib.get_spacegroup(lattice, symprec=1e-5) space_split = spacegroup.split() spg_num = space_split[1].replace("(", "").replace(")", "") - sg = Spacegroup(int(spg_num)) - return sg + return Spacegroup(int(spg_num)) def get_inequivalent_sites(sub_lattice, lattice): - """Given a sub lattice, returns symmetry unique sites for substitutions. + """ + Given a sub lattice, returns symmetry unique sites for substitutions. Args: + ---- sub_lattice (list of lists): array containing Cartesian coordinates of the sub-lattice of interest lattice (ASE crystal): the total lattice Returns: + ------- List of sites + """ sg = get_sg(lattice) inequivalent_sites = [] @@ -59,30 +66,34 @@ def get_inequivalent_sites(sub_lattice, lattice): # Check against the existing members of the list of inequivalent sites if len(inequivalent_sites) > 0: for inequiv_site in inequivalent_sites: - if smact.are_eq(site, inequiv_site) == True: - new_site = False - # Check against symmetry related members of the list of inequivalent sites - equiv_inequiv_sites, _ = sg.equivalent_sites(inequiv_site) - for equiv_inequiv_site in equiv_inequiv_sites: - if smact.are_eq(site, equiv_inequiv_site) == True: + if smact.are_eq(site, inequiv_site) is True: new_site = False + # Check against symmetry related members of the list of inequivalent sites + equiv_inequiv_sites, _ = sg.equivalent_sites(inequiv_site) + for equiv_inequiv_site in equiv_inequiv_sites: + if smact.are_eq(site, equiv_inequiv_site) is True: + new_site = False - if new_site == True: + if new_site is True: inequivalent_sites.append(site) return inequivalent_sites def make_substitution(lattice, site, new_species): - """Change atomic species on lattice site to new_species. + """ + Change atomic species on lattice site to new_species. Args: + ---- lattice (ASE crystal): Input lattice site (list): Cartesian coordinates of the substitution site new_species (str): New species Returns: + ------- lattice + """ i = 0 # NBNBNBNB It is necessary to use deepcopy for objects, otherwise changes applied to a clone @@ -97,17 +108,20 @@ def make_substitution(lattice, site, new_species): def build_sub_lattice(lattice, symbol): - """Generate a sub-lattice of the lattice based on equivalent atomic species. + """ + Generate a sub-lattice of the lattice based on equivalent atomic species. Args: + ---- lattice (ASE crystal class): Input lattice symbol (string): Symbol of species identifying sub-lattice Returns: + ------- list of lists: sub_lattice: Cartesian coordinates of the sub-lattice of symbol - """ + """ sub_lattice = [] i = 0 atomic_labels = lattice.get_chemical_symbols() diff --git a/smact/dopant_prediction/__init__.py b/smact/dopant_prediction/__init__.py index 9f21268f..e4323a9c 100644 --- a/smact/dopant_prediction/__init__.py +++ b/smact/dopant_prediction/__init__.py @@ -1,5 +1,7 @@ """Minimalist dopant prediction tools for materials design.""" +from __future__ import annotations + import logging __author__ = "Chloe (Jiwoo) Lee (이지우)" diff --git a/smact/dopant_prediction/doper.py b/smact/dopant_prediction/doper.py index edd32a60..94d0ed07 100644 --- a/smact/dopant_prediction/doper.py +++ b/smact/dopant_prediction/doper.py @@ -1,6 +1,12 @@ +"""The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants +in multi-component solids. The search and ranking process is based on electronic filters +(e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). +""" + +from __future__ import annotations + import os from itertools import groupby -from typing import List, Optional, Tuple, Type import numpy as np from pymatgen.util import plotting @@ -19,20 +25,21 @@ class Doper: """ A class to search for n & p type dopants - Methods: get_dopants, plot_dopants + Methods: get_dopants, plot_dopants. """ def __init__( self, - original_species: Tuple[str, ...], - filepath: Optional[str] = None, - embedding: Optional[str] = None, + original_species: tuple[str, ...], + filepath: str | None = None, + embedding: str | None = None, use_probability: bool = True, ): """ - Initialise the `Doper` class with a tuple of species + Initialise the `Doper` class with a tuple of species. Args: + ---- original_species: See :class:`~.Doper`. filepath (str): Path to a JSON file containing lambda table data. embedding (str): Name of the species embedding to use. Currently only 'skipspecies' is supported. @@ -44,15 +51,11 @@ def __init__( # filepath and embedding are mutually exclusive # check if both are provided if filepath and embedding: - raise ValueError( - "Only one of filepath or embedding should be provided" - ) + raise ValueError("Only one of filepath or embedding should be provided") if embedding and embedding != "skipspecies": raise ValueError(f"Embedding {embedding} is not supported") if embedding: - self.cation_mutator = mutation.CationMutator.from_json( - SKIPSSPECIES_COSINE_SIM_PATH - ) + self.cation_mutator = mutation.CationMutator.from_json(SKIPSSPECIES_COSINE_SIM_PATH) elif filepath: self.cation_mutator = mutation.CationMutator.from_json(filepath) else: @@ -60,18 +63,14 @@ def __init__( self.cation_mutator = mutation.CationMutator.from_json(filepath) self.possible_species = list(self.cation_mutator.specs) self.lambda_threshold = self.cation_mutator.alpha("X", "Y") - self.threshold = ( - 1 - / self.cation_mutator.Z - * np.exp(self.cation_mutator.alpha("X", "Y")) - ) + self.threshold = 1 / self.cation_mutator.Z * np.exp(self.cation_mutator.alpha("X", "Y")) self.use_probability = use_probability self.results = None def _get_selectivity( self, - data_list: List[smact.Element], - cations: List[smact.Element], + data_list: list[smact.Element], + cations: list[smact.Element], sub, ): data = data_list.copy() @@ -83,9 +82,7 @@ def _get_selectivity( sum_prob = sub_prob for cation in cations: if cation != original_specie: - sum_prob += self._calculate_species_sim_prob( - cation, selected_site - ) + sum_prob += self._calculate_species_sim_prob(cation, selected_site) selectivity = sub_prob / sum_prob selectivity = round(selectivity, 2) @@ -99,26 +96,27 @@ def _merge_dicts(self, keys, dopants_list, groupby_list): merged_values = dict() merged_values["sorted"] = dopants for key, value in group.items(): - merged_values[key] = sorted( - value, key=lambda x: x[2], reverse=True - ) + merged_values[key] = sorted(value, key=lambda x: x[2], reverse=True) merged_dict[k] = merged_values return merged_dict def _get_dopants( self, - specie_ions: List[str], + specie_ions: list[str], ion_type: str, ): """ Get possible dopants for a given list of elements and dopants. Args: + ---- specie_ions (List[str]): List of original species (anions or cations) as strings. ion_type (str): Identify which species to check. Returns: + ------- List[str]: List of possible dopants. + """ poss_n_type = set() poss_p_type = set() @@ -145,31 +143,38 @@ def _calculate_species_sim_prob(self, species1, species2): Calculate the similarity/probability between two species. Args: + ---- species1 (str): The first species. species2 (str): The second species. Returns: + ------- float: The similarity between the two species. + """ if self.use_probability: return self.cation_mutator.sub_prob(species1, species2) else: return self.cation_mutator.get_lambda(species1, species2) - def get_dopants( - self, num_dopants: int = 5, get_selectivity=True, group_by_charge=True - ) -> dict: + def get_dopants(self, num_dopants: int = 5, get_selectivity=True, group_by_charge=True) -> dict: """ + Get the top num_dopants dopant suggestions for n- and p-type dopants. + Args: + ---- num_dopants (int): The number of suggestions to return for n- and p-type dopants. get_selectivity (bool): Whether to calculate the selectivity of the dopants. group_by_charge (bool): Whether to group the dopants by charge. + Returns: + ------- (dict): Dopant suggestions, given as a dictionary with keys - "n-type cation substitutions", "p-type cation substitutions", "n-type anion substitutions", "p-type anion substitutions". + "n-type cation substitutions", "p-type cation substitutions", "n-type anion substitutions", "p-type anion substitutions". Examples: - >>> test = Doper(('Ti4+','O2-')) + -------- + >>> test = Doper(("Ti4+", "O2-")) >>> print(test.get_dopants(num_dopants=2)) {'n-type anion substitutions': {'-1': [['F1-', 'O2-', 0.01508116810515677, 1.0], ['Cl1-','O2-', 0.004737202729901607, 1.0]], @@ -247,7 +252,6 @@ def get_dopants( 1.0]]}} """ - cations, anions = [], [] for ion in self.original_species: @@ -334,32 +338,22 @@ def get_dopants( sub = "cation" if i > 1: sub = "anion" - dopants_lists[i] = self._get_selectivity( - dopants_lists[i], cations, sub - ) + dopants_lists[i] = self._get_selectivity(dopants_lists[i], cations, sub) # if groupby - groupby_lists = [ - dict() - ] * 4 # create list of empty dict length of 4 (n-cat, p-cat, n-an, p-an) + groupby_lists = [dict()] * 4 # create list of empty dict length of 4 (n-cat, p-cat, n-an, p-an) # in case group_by_charge = False if group_by_charge: for i, dl in enumerate(dopants_lists): # groupby first element charge dl = sorted(dl, key=lambda x: utilities.parse_spec(x[0])[1]) - grouped_data = groupby( - dl, key=lambda x: utilities.parse_spec(x[0])[1] - ) - grouped_top_data = { - str(k): list(g)[:num_dopants] for k, g in grouped_data - } + grouped_data = groupby(dl, key=lambda x: utilities.parse_spec(x[0])[1]) + grouped_top_data = {str(k): list(g)[:num_dopants] for k, g in grouped_data} groupby_lists[i] = grouped_top_data del grouped_data # select top n elements - dopants_lists = [ - dopants_list[:num_dopants] for dopants_list in dopants_lists - ] + dopants_lists = [dopants_list[:num_dopants] for dopants_list in dopants_lists] keys = [ "n-type cation substitutions", @@ -376,27 +370,24 @@ def get_dopants( def plot_dopants(self, cmap: str = "YlOrRd") -> None: """ Plot the dopant suggestions using the periodic table heatmap. + Args: + ---- cmap (str): The colormap to use for the heatmap. + Returns: + ------- None + """ - assert ( - self.results - ), "Dopants are not calculated. Run get_dopants first." + assert self.results, "Dopants are not calculated. Run get_dopants first." - for dopant_type, dopants in self.results.items(): + for dopants in self.results.values(): # due to selectivity option if self.len_list == 3: - dict_results = { - utilities.parse_spec(x)[0]: y - for x, _, y in dopants.get("sorted") - } + dict_results = {utilities.parse_spec(x)[0]: y for x, _, y in dopants.get("sorted")} else: - dict_results = { - utilities.parse_spec(x)[0]: y - for x, _, y, _ in dopants.get("sorted") - } + dict_results = {utilities.parse_spec(x)[0]: y for x, _, y, _ in dopants.get("sorted")} plotting.periodic_table_heatmap( elemental_data=dict_results, cmap=cmap, @@ -411,6 +402,14 @@ def _format_number(self, num_str): @property def to_table(self): + """ + Print the dopant suggestions in a tabular format. + + Returns: + ------- + None + + """ if not self.results: print("No data available") return @@ -423,9 +422,7 @@ def to_table(self): for k, v in dopants.items(): kind = k if k == "sorted" else self._format_number(k) print("\033[96m" + str(kind) + "\033[0m") - enumerated_data = [ - [i + 1] + sublist for i, sublist in enumerate(v) - ] + enumerated_data = [[i + 1, *sublist] for i, sublist in enumerate(v)] print( tabulate( enumerated_data, diff --git a/smact/lattice.py b/smact/lattice.py index f8f33d7d..a4e5b861 100755 --- a/smact/lattice.py +++ b/smact/lattice.py @@ -1,12 +1,12 @@ #!/usr/bin/env python +"""This module defines the Lattice and Site classes for crystal structures.""" -import numpy as np - -import smact +from __future__ import annotations class Lattice: - """A unique set of Sites. + """ + A unique set of Sites. Lattice objects define a general crystal structure, with a space group and a collection of Site objects. These Site objects have their own fractional @@ -17,6 +17,7 @@ class Lattice: Environment. Attributes: + ---------- basis_sites: A list of Site objects [SiteA, SiteB, SiteC, ...] comprising the basis sites in Cartesian coordinates @@ -27,11 +28,13 @@ class Lattice: Structurbericht identity, if applicable (e.g. 'B1') Methods: + ------- lattice_vector_calc(): """ def __init__(self, sites, space_group=1, strukturbericht=False): + """Initialize the Lattice object.""" self.sites = sites self.space_group = space_group self.strukturbericht = strukturbericht @@ -44,11 +47,15 @@ class Site: The Site object is primarily used within Lattice objects. Attributes: + ---------- position: A list of fractional coordinates [x,y,z] oxidation_states: A list of possible oxidation states e.g. [-1,0,1] """ - def __init__(self, position, oxidation_states=[0]): + def __init__(self, position, oxidation_states=None): + """Initialize the Site object.""" + if oxidation_states is None: + oxidation_states = [0] self.position = position self.oxidation_states = oxidation_states diff --git a/smact/lattice_parameters.py b/smact/lattice_parameters.py index e4be7bf0..067b7456 100644 --- a/smact/lattice_parameters.py +++ b/smact/lattice_parameters.py @@ -1,23 +1,28 @@ -#!/usr/bin/env python """ This module can be used to calculate roughly the lattice parameters of a lattice type, based on the radii of the species on each site. """ + +from __future__ import annotations + import numpy as np def cubic_perovskite(shannon_radius): # Cubic Pervoskite - """The lattice parameters of the cubic perovskite structure. + """ + The lattice parameters of the cubic perovskite structure. Args: + ---- shannon_radius (list) : The radii of the a,b,c ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) - """ + """ limiting_factors = [2 * sum(shannon_radius[1:])] a = max(limiting_factors) b = a @@ -30,15 +35,19 @@ def cubic_perovskite(shannon_radius): # Cubic Pervoskite def wurtzite(shannon_radius): - """The lattice parameters of the wurtzite structure. + """ + The lattice parameters of the wurtzite structure. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ shannon_radius.sort(reverse=True) # Geometry assumes atom A is larger # "Ideal" wurtzite structure @@ -60,24 +69,26 @@ def wurtzite(shannon_radius): # 0.817 is sin(109.6/2) a = 2 * 0.817 * (shannon_radius[0] + shannon_radius[1]) b = a - c = (shannon_radius[0] + shannon_radius[1]) * ( - 2 + 2 * 0.335 - ) # 0.335 is sin(109.6-90) + c = (shannon_radius[0] + shannon_radius[1]) * (2 + 2 * 0.335) # 0.335 is sin(109.6-90) # inner_space = a * (6**0.5) - (4*shannon_radius[0]) return a, b, c, alpha, beta, gamma # A1# def fcc(covalent_radius): - """The lattice parameters of the A1. + """ + The lattice parameters of the A1. - Args: - shannon_radius (list) : The radii of the a ions + Args: + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 2 * 2**0.5 * covalent_radius b = 2 * 2**0.5 * covalent_radius @@ -90,15 +101,19 @@ def fcc(covalent_radius): # A2# def bcc(covalent_radius): - """The lattice parameters of the A2. + """ + The lattice parameters of the A2. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 4 * covalent_radius / np.sqrt(3) b = a @@ -111,15 +126,19 @@ def bcc(covalent_radius): # A3# def hcp(covalent_radius): - """The lattice parameters of the hcp. + """ + The lattice parameters of the hcp. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 2 * covalent_radius b = a @@ -132,15 +151,19 @@ def hcp(covalent_radius): # A4# def diamond(covalent_radius): - """The lattice parameters of the diamond. + """ + The lattice parameters of the diamond. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 8 * covalent_radius / np.sqrt(3) b = a @@ -153,15 +176,19 @@ def diamond(covalent_radius): # A5# def bct(covalent_radius): - """The lattice parameters of the bct. + """ + The lattice parameters of the bct. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 3.86 * covalent_radius b = a @@ -174,15 +201,19 @@ def bct(covalent_radius): # B1 def rocksalt(shannon_radius): - """The lattice parameters of rocksalt. + """ + The lattice parameters of rocksalt. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * 2**0.2 * shannon_radius[0], @@ -200,15 +231,19 @@ def rocksalt(shannon_radius): # B2 def b2(shannon_radius): - """The lattice parameters of b2. + """ + The lattice parameters of b2. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * (shannon_radius[0] + shannon_radius[0]) / np.sqrt(3), @@ -226,14 +261,19 @@ def b2(shannon_radius): # B3 def zincblende(shannon_radius): - """The lattice parameters of Zinc Blende. - Args: + """ + The lattice parameters of Zinc Blende. + + Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * (max(shannon_radius) * np.sqrt(2)), @@ -255,15 +295,19 @@ def zincblende(shannon_radius): # B10 def b10(shannon_radius): # Litharge - """The lattice parameters of Litharge + """ + The lattice parameters of Litharge. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 4 * (max(shannon_radius)) / np.sqrt(2), @@ -279,15 +323,19 @@ def b10(shannon_radius): # Litharge def stuffed_wurtzite(shannon_radii): - """The stuffed wurtzite structure (e.g. LiGaGe) space group P63/mc. + """ + The stuffed wurtzite structure (e.g. LiGaGe) space group P63/mc. Args: - shannon_radius (list) : The radii of the a,b,c ions + ---- + shannon_radii (list) : The radii of the a,b,c ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ rac = shannon_radii[2] + shannon_radii[1] x = rac * np.sin(np.radians(19.5)) diff --git a/smact/mainpage.py b/smact/mainpage.py index a2711070..ea7d9286 100644 --- a/smact/mainpage.py +++ b/smact/mainpage.py @@ -1,5 +1,5 @@ r""" -\mainpage +\mainpage. This is the mainpage of the smact package diff --git a/smact/oxidation_states.py b/smact/oxidation_states.py index 300b28ef..35fdf8c2 100644 --- a/smact/oxidation_states.py +++ b/smact/oxidation_states.py @@ -6,16 +6,17 @@ Prediction - DOI: 10.1039/C8FD00032H. """ +from __future__ import annotations + import json from os import path -from typing import Dict, Optional, Tuple from numpy import mean from pymatgen.core import Structure from pymatgen.core.periodic_table import Species as pmgSpecies from pymatgen.core.periodic_table import get_el_sp -from smact import Element, Species, data_directory +from smact import Species, data_directory class Oxidation_state_probability_finder: @@ -24,21 +25,19 @@ class Oxidation_state_probability_finder: to compute the likelihood of metal species existing in solids in the presence of certain anions. """ - def __init__( - self, probability_table: Optional[Dict[Tuple[str, str], float]] = None - ): + def __init__(self, probability_table: dict[tuple[str, str], float] | None = None): """ + Initialise the oxidation state probability finder. + Args: + ---- probability_table (dict): Lookup table to get probabilities for anion-cation pairs. Must be of the format {(anion,cation): probability, ...} e.g. {('F-1', 'Li1'): 1.0,...}. If none, the default table is loaded from the data directory. + """ - if probability_table == None: - with open( - path.join( - data_directory, "oxidation_state_probability_table.json" - ) - ) as f: + if probability_table is None: + with open(path.join(data_directory, "oxidation_state_probability_table.json")) as f: probability_data = json.load(f) # Put data into the required format probability_table = {} @@ -47,8 +46,8 @@ def __init__( self._probability_table = probability_table # Define set of species for which we have data - included_anions = {i[0] for i in self._probability_table.keys()} - included_cations = {i[1] for i in self._probability_table.keys()} + included_anions = {i[0] for i in self._probability_table} + included_cations = {i[1] for i in self._probability_table} included_species = list(included_anions) + list(included_cations) self._included_species = included_species @@ -60,10 +59,12 @@ def _generate_lookup_key(self, species1: Species, species2: Species): Internal function to generate keys to lookup table. Args: + ---- species1 (smact.Species): Species species2 (smact.Species): Species Returns: + ------- table_key (tuple): For looking up probability in the form (an_key, cat_key). """ @@ -82,82 +83,71 @@ def _generate_lookup_key(self, species1: Species, species2: Species): an_key = "".join([anion.symbol, str(int(anion.oxidation))]) # Check that both the species are included in the probability table - if not all( - elem in self._included_species for elem in [an_key, cat_key] - ): - raise NameError( - f"One or both of [{cat_key}, {an_key}] are not in the probability table." - ) + if not all(elem in self._included_species for elem in [an_key, cat_key]): + raise NameError(f"One or both of [{cat_key}, {an_key}] are not in the probability table.") - table_key = (an_key, cat_key) - return table_key + return (an_key, cat_key) def pair_probability(self, species1: Species, species2: Species) -> float: - """ + r""" Get the anion-cation oxidation state probability for a provided pair of smact Species. i.e. :math:`P_{SA}=\\frac{N_{SX}}{N_{MX}}` in the original paper (DOI:10.1039/C8FD00032H). Args: + ---- species1 (smact.Species): Cation or anion species species2 (smact.Species): Cation or anion species Returns: + ------- prob (float): Species-anion probability """ # Generate lookup table key and use it to look up probability probability_table_key = self._generate_lookup_key(species1, species2) - prob = self._probability_table[probability_table_key] - return prob + return self._probability_table[probability_table_key] def get_included_species(self): - """ - Returns a list of species for which there exists data in the probability table used. - """ + """Returns a list of species for which there exists data in the probability table used.""" return self._included_species - def compound_probability( - self, structure: Structure, ignore_stoichiometry: bool = True - ) -> float: + def compound_probability(self, structure: Structure, ignore_stoichiometry: bool = True) -> float: """ calculate overall probability for structure or composition. Args: + ---- structure (pymatgen.Structure): Compound for which the probability score will be generated. Can also be a list of pymatgen or SMACT Species. ignore_stoichiometry (bool): Whether to weight probabilities by stoichiometry. - Defaults to false as decribed in the original paper. + Defaults to false as described in the original paper. Returns: + ------- compound_prob (float): Compound probability - """ + """ # Convert input to list of SMACT Species - if type(structure) == list: + if isinstance(structure, list): if all(isinstance(i, Species) for i in structure): pass elif all(isinstance(i, pmgSpecies) for i in structure): structure = [Species(i.symbol, i.oxi_state) for i in structure] else: - raise TypeError( - "Input requires a list of SMACT or Pymatgen species." - ) - elif type(structure) == Structure: + raise TypeError("Input requires a list of SMACT or Pymatgen species.") + elif isinstance(structure, Structure): species = structure.species if not all(isinstance(i, pmgSpecies) for i in species): raise TypeError("Structure must have oxidation states.") - else: - structure = [ - Species( - get_el_sp(i.species_string).symbol, - get_el_sp(i.species_string).oxi_state, - ) - for i in structure - ] + structure = [ + Species( + get_el_sp(i.species_string).symbol, + get_el_sp(i.species_string).oxi_state, + ) + for i in structure + ] else: - raise TypeError( - "Input requires a list of SMACT or Pymatgen Species or a Structure." - ) + raise TypeError("Input requires a list of SMACT or Pymatgen Species or a Structure.") # Put most electonegative element last in list by sorting by electroneg structure.sort(key=lambda x: x.pauling_eneg) @@ -172,8 +162,5 @@ def compound_probability( species_pairs = list(set(species_pairs)) # Do the maths - pair_probs = [ - self.pair_probability(pair[0], pair[1]) for pair in species_pairs - ] - compound_prob = mean(pair_probs) - return compound_prob + pair_probs = [self.pair_probability(pair[0], pair[1]) for pair in species_pairs] + return mean(pair_probs) diff --git a/smact/properties.py b/smact/properties.py index 55e33700..e96ea569 100644 --- a/smact/properties.py +++ b/smact/properties.py @@ -1,35 +1,39 @@ -from typing import List, Optional, Union +"""A collection of tools for estimating physical properties based on chemical composition.""" + +from __future__ import annotations import numpy as np import smact +from smact.utils.composition import parse_formula -def eneg_mulliken(element: Union[smact.Element, str]) -> float: - """Get Mulliken electronegativity from the IE and EA. +def eneg_mulliken(element: smact.Element | str) -> float: + """ + Get Mulliken electronegativity from the IE and EA. Arguments: - symbol (smact.Element or str): Element object or symbol + --------- + element (smact.Element or str): Element object or symbol Returns: + ------- mulliken (float): Mulliken electronegativity """ - if type(element) == str: + if isinstance(element, str): element = smact.Element(element) - elif type(element) != smact.Element: - raise Exception(f"Unexpected type: {type(element)}") - - mulliken = (element.ionpot + element.e_affinity) / 2.0 + elif not isinstance(element, smact.Element): + raise TypeError(f"Unexpected type: {type(element)}") - return mulliken + return (element.ionpot + element.e_affinity) / 2.0 def band_gap_Harrison( anion: str, cation: str, verbose: bool = False, - distance: Optional[Union[float, str]] = None, + distance: float | str | None = None, ) -> float: """ Estimates the band gap from elemental data. @@ -39,19 +43,19 @@ def band_gap_Harrison( Solids: The Physics of the Chemical Bond". Args: - Anion (str): Element symbol of the dominant anion in the system - - Cation (str): Element symbol of the the dominant cation in the system - Distance (float or str): Nuclear separation between anion and cation + ---- + anion (str): Element symbol of the dominant anion in the system + cation (str): Element symbol of the the dominant cation in the system + distance (float or str): Nuclear separation between anion and cation i.e. sum of ionic radii verbose (bool) : An optional True/False flag. If True, additional - information is printed to the standard output. [Defult: False] + information is printed to the standard output. [Default: False] - Returns : + Returns: + ------- Band_gap (float): Band gap in eV """ - # Set constants hbarsq_over_m = 7.62 @@ -85,11 +89,12 @@ def band_gap_Harrison( def compound_electroneg( verbose: bool = False, - elements: List[Union[str, smact.Element]] = None, - stoichs: List[Union[int, float]] = None, + elements: list[str | smact.Element] | None = None, + stoichs: list[int | float] | None = None, source: str = "Mulliken", ) -> float: - """Estimate electronegativity of compound from elemental data. + """ + Estimate electronegativity of compound from elemental data. Uses Mulliken electronegativity by default, which uses elemental ionisation potentials and electron affinities. Alternatively, can @@ -102,6 +107,7 @@ def compound_electroneg( X_Cu2S = (X_Cu * X_Cu * C_S)^(1/3) Args: + ---- elements (list) : Elements given as standard elemental symbols. stoichs (list) : Stoichiometries, given as integers or floats. verbose (bool) : An optional True/False flag. If True, additional information @@ -111,17 +117,16 @@ def compound_electroneg( rescaled to a Mulliken-like scale. Returns: + ------- Electronegativity (float) : Estimated electronegativity (no units). """ - if type(elements[0]) == str: + if isinstance(elements[0], str): elementlist = [smact.Element(i) for i in elements] - elif type(elements[0]) == smact.Element: + elif isinstance(elements[0], smact.Element): elementlist = elements else: - raise Exception( - "Please supply a list of element symbols or SMACT Element objects" - ) + raise TypeError("Please supply a list of element symbols or SMACT Element objects") stoichslist = stoichs # Convert stoichslist from string to float @@ -135,9 +140,7 @@ def compound_electroneg( elif source == "Pauling": elementlist = [(2.86 * el.pauling_eneg) for el in elementlist] else: - raise Exception( - f"Electronegativity type '{source}'", "is not recognised" - ) + raise Exception(f"Electronegativity type '{source}'", "is not recognised") # Print optional list of element electronegativities. # This may be a useful sanity check in case of a suspicious result. @@ -146,7 +149,7 @@ def compound_electroneg( # Raise each electronegativity to its appropriate power # to account for stoichiometry. - for i in range(0, len(elementlist)): + for i in range(len(elementlist)): elementlist[i] = [elementlist[i] ** stoichslist[i]] # Calculate geometric mean (n-th root of product) @@ -157,3 +160,45 @@ def compound_electroneg( print("Geometric mean = Compound 'electronegativity'=", compelectroneg) return compelectroneg + + +def valence_electron_count(compound: str) -> float: + """ + Calculate the Valence Electron Count (VEC) for a given chemical compound. + + This function parses the input compound, extracts the elements and their + stoichiometries, and calculates the VEC using the valence electron data + from SMACT's Element class. + + Args: + compound (str): Chemical formula of the compound (e.g., "Fe2O3"). + + Returns: + float: Valence Electron Count (VEC) for the compound. + + Raises: + ValueError: If an element in the compound is not found in the valence data. + """ + + def get_element_valence(element: str) -> int: + try: + return smact.Element(element).num_valence_modified + except NameError: + raise ValueError(f"Valence data not found for element: {element}") from None + + element_stoich = parse_formula(compound) + + total_valence = 0 + total_stoich = 0 + for element, stoich in element_stoich.items(): + try: + valence = get_element_valence(element) + total_valence += stoich * valence + total_stoich += stoich + except TypeError: + raise ValueError(f"No valence information for element {element}") + + if total_stoich == 0: + return 0.0 + + return total_valence / total_stoich diff --git a/smact/screening.py b/smact/screening.py index d3e45945..ecbbd100 100644 --- a/smact/screening.py +++ b/smact/screening.py @@ -1,12 +1,16 @@ +"""A collection of tools for estimating physical properties +based on chemical composition. +""" + +from __future__ import annotations + import itertools import os import warnings -from collections import namedtuple from itertools import combinations -from typing import List, Optional, Tuple, Union +from typing import TYPE_CHECKING import numpy as np -import pymatgen from pymatgen.core import Composition import smact @@ -15,29 +19,26 @@ lookup_element_oxidation_states_custom as oxi_custom, ) -# Use named tuple to improve readability of smact_filter outputs -_allowed_compositions = namedtuple( - "Composition", ["element_symbols", "oxidation_states", "stoichiometries"] -) -_allowed_compositions_nonunique = namedtuple( - "Composition", ["element_symbols", "stoichiometries"] -) +if TYPE_CHECKING: + import pymatgen def pauling_test( - oxidation_states: List[int], - electronegativities: List[float], - symbols: List[str] = [], + oxidation_states: list[int], + electronegativities: list[float], + symbols: list[str] | None = None, repeat_anions: bool = True, repeat_cations: bool = True, threshold: float = 0.0, ): - """Check if a combination of ions makes chemical sense, + """ + Check if a combination of ions makes chemical sense, (i.e. positive ions should be of lower electronegativity). Args: - ox (list): oxidation states of elements in the compound - paul (list): the corresponding Pauling electronegativities + ---- + oxidation_states (list): oxidation states of elements in the compound + electronegativities (list): the corresponding Pauling electronegativities of the elements in the compound symbols (list) : chemical symbols of each site threshold (float): a tolerance for the allowed deviation from @@ -47,39 +48,37 @@ def pauling_test( repeat_cations : as above, but for cations Returns: + ------- bool: True if anions are more electronegative than cations, otherwise False - """ + """ + if symbols is None: + symbols = [] if repeat_anions and repeat_cations and threshold == 0.0: return eneg_states_test(oxidation_states, electronegativities) elif repeat_anions and repeat_cations: - return eneg_states_test_threshold( - oxidation_states, electronegativities, threshold=threshold - ) + return eneg_states_test_threshold(oxidation_states, electronegativities, threshold=threshold) - else: - if _no_repeats( - oxidation_states, - symbols, - repeat_anions=repeat_anions, - repeat_cations=repeat_cations, - ): - if threshold == 0.0: - return eneg_states_test(oxidation_states, electronegativities) - else: - return eneg_states_test_threshold( - oxidation_states, electronegativities, threshold=threshold - ) + elif _no_repeats( + oxidation_states, + symbols, + repeat_anions=repeat_anions, + repeat_cations=repeat_cations, + ): + if threshold == 0.0: + return eneg_states_test(oxidation_states, electronegativities) else: - return False + return eneg_states_test_threshold(oxidation_states, electronegativities, threshold=threshold) + else: + return False def _no_repeats( - oxidation_states: List[int], - symbols: List[str], + oxidation_states: list[int], + symbols: list[str], repeat_anions: bool = False, repeat_cations: bool = False, ): @@ -87,6 +86,7 @@ def _no_repeats( Check if any anion or cation appears twice. Args: + ---- oxidation_states (list): oxidation states of species symbols (list): chemical symbols corresponding to oxidation states @@ -95,7 +95,9 @@ def _no_repeats( repeat_cations (bool): if True, cations may be repeated (e.g. Cu in +1 and +2 states) - Returns: bool + Returns: + ------- + bool: True if no anion or cation is repeated, False otherwise """ if repeat_anions is False and repeat_cations is False: return len(symbols) == len(set(symbols)) @@ -106,28 +108,30 @@ def _no_repeats( cations.append(symbol) else: anions.append(symbol) - if not repeat_anions and len(anions) != len(set(anions)): - return False - elif not repeat_cations and len(cations) != len(set(cations)): - return False - else: - return True + return not ( + not repeat_anions + and len(anions) != len(set(anions)) + or not repeat_cations + and len(cations) != len(set(cations)) + ) def pauling_test_old( - ox: List[int], - paul: List[float], - symbols: List[str], + ox: list[int], + paul: list[float], + symbols: list[str], repeat_anions: bool = True, repeat_cations: bool = True, threshold: float = 0.0, ): - """Check if a combination of ions makes chemical sense, + """ + Check if a combination of ions makes chemical sense, (i.e. positive ions should be of lower Pauling electronegativity). This function should give the same results as pauling_test but is not optimised for speed. Args: + ---- ox (list): oxidation states of the compound paul (list): the corresponding Pauling electronegativities of the elements in the compound @@ -139,6 +143,7 @@ def pauling_test_old( repeat_cations : as above, but for cations. Returns: + ------- (bool): True if anions are more electronegative than cations, otherwise False @@ -175,15 +180,12 @@ def pauling_test_old( return False if max(positive) == min(negative): return False - if max(positive) - min(negative) > threshold: - return False - else: - return True + return not max(positive) - min(negative) > threshold -def eneg_states_test(ox_states: List[int], enegs: List[float]): +def eneg_states_test(ox_states: list[int], enegs: list[float]): """ - Internal function for checking electronegativity criterion + Internal function for checking electronegativity criterion. This implementation is fast as it 'short-circuits' as soon as it finds an invalid combination. However it may be that in some cases @@ -191,33 +193,36 @@ def eneg_states_test(ox_states: List[int], enegs: List[float]): this method and eneg_states_test_alternate. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in compound Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False """ - for (ox1, eneg1), (ox2, eneg2) in combinations( - list(zip(ox_states, enegs)), 2 - ): - if eneg1 is None or eneg2 is None: - return False - elif (ox1 > 0) and (ox2 < 0) and (eneg1 >= eneg2): - return False - elif (ox1 < 0) and (ox2 > 0) and (eneg1 <= eneg2): + for (ox1, eneg1), (ox2, eneg2) in combinations(list(zip(ox_states, enegs)), 2): + if ( + eneg1 is None + or eneg2 is None + or (ox1 > 0) + and (ox2 < 0) + and (eneg1 >= eneg2) + or (ox1 < 0) + and (ox2 > 0) + and (eneg1 <= eneg2) + ): return False - else: - return True + return True -def eneg_states_test_threshold( - ox_states: List[int], enegs: List[float], threshold: Optional[float] = 0 -): - """Internal function for checking electronegativity criterion +def eneg_states_test_threshold(ox_states: list[int], enegs: list[float], threshold: float | None = 0): + """ + Internal function for checking electronegativity criterion. This implementation is fast as it 'short-circuits' as soon as it finds an invalid combination. However it may be that in some cases @@ -228,6 +233,7 @@ def eneg_states_test_threshold( relaxed somewhat. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in @@ -236,34 +242,40 @@ def eneg_states_test_threshold( the Pauling criterion Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False """ - for (ox1, eneg1), (ox2, eneg2) in combinations( - list(zip(ox_states, enegs)), 2 - ): - if (ox1 > 0) and (ox2 < 0) and ((eneg1 - eneg2) > threshold): - return False - elif (ox1 < 0) and (ox2 > 0) and (eneg2 - eneg1) > threshold: + for (ox1, eneg1), (ox2, eneg2) in combinations(list(zip(ox_states, enegs)), 2): + if ( + (ox1 > 0) + and (ox2 < 0) + and ((eneg1 - eneg2) > threshold) + or (ox1 < 0) + and (ox2 > 0) + and (eneg2 - eneg1) > threshold + ): return False - else: - return True + return True -def eneg_states_test_alternate(ox_states: List[int], enegs: List[float]): - """Internal function for checking electronegativity criterion +def eneg_states_test_alternate(ox_states: list[int], enegs: list[float]): + """ + Internal function for checking electronegativity criterion. This implementation appears to be slightly slower than eneg_states_test, but further testing is needed. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in compound Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False @@ -278,10 +290,11 @@ def eneg_states_test_alternate(ox_states: List[int], enegs: List[float]): def ml_rep_generator( - composition: Union[List[Element], List[str]], - stoichs: Optional[List[int]] = None, + composition: list[Element] | list[str], + stoichs: list[int] | None = None, ): - """Function to take a composition of Elements and return a + """ + Function to take a composition of Elements and return a list of values between 0 and 1 that describes the composition, useful for machine learning. @@ -293,49 +306,57 @@ def ml_rep_generator( Inspired by the representation used by Legrain et al. DOI: 10.1021/acs.chemmater.7b00789 Args: + ---- composition (list): Element objects in composition OR symbols of elements in composition stoichs (list): Corresponding stoichiometries in the composition Returns: + ------- norm (list): List of floats representing the composition that sum to one """ - if stoichs == None: + if stoichs is None: stoichs = [1 for i, el in enumerate(composition)] ML_rep = [0 for i in range(1, 103)] - if type(composition[0]) == Element: + if isinstance(composition[0], Element): for element, stoich in zip(composition, stoichs): ML_rep[int(element.number) - 1] += stoich else: for element, stoich in zip(composition, stoichs): ML_rep[int(Element(element).number) - 1] += stoich - norm = [float(i) / sum(ML_rep) for i in ML_rep] - return norm + return [float(i) / sum(ML_rep) for i in ML_rep] def smact_filter( - els: Union[Tuple[Element], List[Element]], - threshold: Optional[int] = 8, - stoichs: Optional[List[List[int]]] = None, + els: tuple[Element] | list[Element], + threshold: int | None = 8, + stoichs: list[list[int]] | None = None, species_unique: bool = True, - oxidation_states_set: str = "default", + oxidation_states_set: str = "smact14", comp_tuple: bool = False, -) -> Union[List[Tuple[str, int, int]], List[Tuple[str, int]]]: +) -> list[tuple[str, int, int]] | list[tuple[str, int]]: """Function that applies the charge neutrality and electronegativity tests in one go for simple application in external scripts that wish to apply the general 'smact test'. + .. warning:: + For backwards compatibility in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. + In SMACT 3.0, the smact_filter function will be set to use a new default oxidation states set. + Args: + ---- els (tuple/list): A list of smact.Element objects threshold (int): Threshold for stoichiometry limit, default = 8 stoichs (list[int]): A selection of valid stoichiometric ratios for each site. species_unique (bool): Whether or not to consider elements in different oxidation states as unique in the results. - oxidation_states_set (string): A string to choose which set of oxidation states should be chosen. Options are 'default', 'icsd', 'pymatgen' and 'wiki' for the default, icsd, pymatgen structure predictor and Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements) oxidation states respectively. A filepath to an oxidation states text file can also be supplied as well. + oxidation_states_set (string): A string to choose which set of oxidation states should be chosen. Options are 'smact14', 'icsd', 'pymatgen' and 'wiki' for the 2014 SMACT default, 2016 ICSD, pymatgen structure predictor and Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements) oxidation states respectively. A filepath to an oxidation states text file can also be supplied as well. comp_tuple (bool): Whether or not to return the results as a named tuple of elements and stoichiometries (True) or as a normal tuple of elements and stoichiometries (False). + Returns: + ------- allowed_comps (list): Allowed compositions for that chemical system in the form [(elements), (oxidation states), (ratios)] if species_unique=True or in the form [(elements), (ratios)] if species_unique=False. @@ -343,8 +364,8 @@ def smact_filter( Example usage: >>> from smact.screening import smact_filter >>> from smact import Element - >>> els = (Element('Cs'), Element('Pb'), Element('I')) - >>> comps = smact_filter(els, threshold =5 ) + >>> els = (Element("Cs"), Element("Pb"), Element("I")) + >>> comps = smact_filter(els, threshold=5) >>> for comp in comps: >>> print(comp) [('Cs', 'Pb', 'I'), (1, -4, -1), (5, 1, 1)] @@ -357,14 +378,13 @@ def smact_filter( Example (using stoichs): >>> from smact.screening import smact_filter >>> from smact import Element - >>> comps = smact_filter(els, stoichs = [[1],[1],[3]], comp_tuple=True ) + >>> comps = smact_filter(els, stoichs=[[1], [1], [3]]) >>> for comp in comps: >>> print(comp) - Composition(element_symbols=('Cs', 'Pb', 'I'), oxidation_states=(1, 2, -1), stoichiometries=(1, 1, 3)) + [('Cs', 'Pb', 'I'), (1, 2, -1), (1, 1, 3)] """ - compositions = [] # Get symbols and electronegativities @@ -373,7 +393,7 @@ def smact_filter( # Select the specified oxidation states set: oxi_set = { - "default": [e.oxidation_states for e in els], + "smact14": [e.oxidation_states_smact14 for e in els], "icsd": [e.oxidation_states_icsd for e in els], "pymatgen": [e.oxidation_states_sp for e in els], "wiki": [e.oxidation_states_wiki for e in els], @@ -385,7 +405,7 @@ def smact_filter( else: raise ( Exception( - f'{oxidation_states_set} is not valid. Enter either "default", "icsd", "pymatgen","wiki" or a filepath to a textfile of oxidation states.' + f'{oxidation_states_set} is not valid. Enter either "smact14", "icsd", "pymatgen","wiki" or a filepath to a textfile of oxidation states.' ) ) if oxidation_states_set == "wiki": @@ -396,57 +416,51 @@ def smact_filter( for ox_states in itertools.product(*ox_combos): # Test for charge balance - cn_e, cn_r = neutral_ratios( - ox_states, stoichs=stoichs, threshold=threshold - ) + cn_e, cn_r = neutral_ratios(ox_states, stoichs=stoichs, threshold=threshold) # Electronegativity test if cn_e: electroneg_OK = pauling_test(ox_states, electronegs) if electroneg_OK: for ratio in cn_r: - compositions.append( - _allowed_compositions(symbols, ox_states, ratio) - if comp_tuple - else (symbols, ox_states, ratio) - ) + compositions.append((symbols, ox_states, ratio)) # Return list depending on whether we are interested in unique species combinations # or just unique element combinations. if species_unique: return compositions else: - if comp_tuple: - compositions = [ - _allowed_compositions_nonunique(i[0], i[2]) - for i in compositions - ] - else: - compositions = [(i[0], i[2]) for i in compositions] - compositions = list(set(compositions)) - return compositions + compositions = [(i[0], i[2]) for i in compositions] + return list(set(compositions)) def smact_validity( - composition: Union[pymatgen.core.Composition, str], + composition: pymatgen.core.Composition | str, use_pauling_test: bool = True, include_alloys: bool = True, - oxidation_states_set: Union[str, bytes, os.PathLike] = "default", + oxidation_states_set: str | bytes | os.PathLike = "smact14", ) -> bool: - """Check if a composition is valid according to the SMACT rules. + """ + Check if a composition is valid according to the SMACT rules. Composition is considered valid if it passes the charge neutrality test and the Pauling electronegativity test. + .. warning:: + For backwards compatibility in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. + In SMACT 3.0, the smact_filter function will be set to use a new default oxidation states set. + Args: + ---- composition (Union[pymatgen.core.Composition, str]): Composition/formula to check. This can be a pymatgen Composition object or a string. use_pauling_test (bool): Whether to use the Pauling electronegativity test include_alloys (bool): If True, compositions which only contain metal elements will be considered valid without further checks. oxidation_states_set (Union[str, bytes, os.PathLike]): A string to choose which set of - oxidation states should be chosen for charge-balancing. Options are 'default', 'icsd', - 'pymatgen' and 'wiki' for the default, icsd, pymatgen structure predictor and Wikipedia + oxidation states should be chosen for charge-balancing. Options are 'smact14', 'icsd', + 'pymatgen' and 'wiki' for the 2014 SMACT default, 2016 ICSD, pymatgen structure predictor and Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements) oxidation states respectively. A filepath to an oxidation states text file can also be supplied. Returns: + ------- bool: True if the composition is valid, False otherwise """ @@ -471,16 +485,14 @@ def smact_validity( smact_elems = [e[1] for e in space.items()] electronegs = [e.pauling_eneg for e in smact_elems] - if oxidation_states_set == "default" or oxidation_states_set is None: - ox_combos = [e.oxidation_states for e in smact_elems] + if oxidation_states_set == "smact14" or oxidation_states_set is None: + ox_combos = [e.oxidation_states_smact14 for e in smact_elems] elif oxidation_states_set == "icsd": ox_combos = [e.oxidation_states_icsd for e in smact_elems] elif oxidation_states_set == "pymatgen": ox_combos = [e.oxidation_states_sp for e in smact_elems] elif os.path.exists(oxidation_states_set): - ox_combos = [ - oxi_custom(e.symbol, oxidation_states_set) for e in smact_elems - ] + ox_combos = [oxi_custom(e.symbol, oxidation_states_set) for e in smact_elems] elif oxidation_states_set == "wiki": warnings.warn( "This set of oxidation states is sourced from Wikipedia. The results from using this set could be questionable and should not be used unless you know what you are doing and have inspected the oxidation states.", @@ -491,7 +503,7 @@ def smact_validity( else: raise ( Exception( - f'{oxidation_states_set} is not valid. Enter either "default", "icsd", "pymatgen","wiki" or a filepath to a textfile of oxidation states.' + f'{oxidation_states_set} is not valid. Enter either "smact14", "icsd", "pymatgen","wiki" or a filepath to a textfile of oxidation states.' ) ) @@ -500,9 +512,7 @@ def smact_validity( for ox_states in itertools.product(*ox_combos): stoichs = [(c,) for c in count] # Test for charge balance - cn_e, cn_r = smact.neutral_ratios( - ox_states, stoichs=stoichs, threshold=threshold - ) + cn_e, cn_r = smact.neutral_ratios(ox_states, stoichs=stoichs, threshold=threshold) # Electronegativity test if cn_e: if use_pauling_test: @@ -515,10 +525,7 @@ def smact_validity( electroneg_OK = True if electroneg_OK: for ratio in cn_r: - compositions.append(tuple([elem_symbols, ox_states, ratio])) + compositions.append((elem_symbols, ox_states, ratio)) compositions = [(i[0], i[2]) for i in compositions] compositions = list(set(compositions)) - if len(compositions) > 0: - return True - else: - return False + return len(compositions) > 0 diff --git a/smact/structure_prediction/__init__.py b/smact/structure_prediction/__init__.py index e3298a35..dd2016e7 100644 --- a/smact/structure_prediction/__init__.py +++ b/smact/structure_prediction/__init__.py @@ -1,5 +1,7 @@ """Minimalist ionic compound prediction tools for materials design.""" +from __future__ import annotations + import logging __author__ = "Alexander Moriarty" diff --git a/smact/structure_prediction/database.py b/smact/structure_prediction/database.py index 42f0d764..2b66b664 100644 --- a/smact/structure_prediction/database.py +++ b/smact/structure_prediction/database.py @@ -1,35 +1,44 @@ """Tools for database interfacing for high throughput IO.""" +from __future__ import annotations + import itertools -from multiprocessing import Pool from operator import itemgetter try: from pathos.pools import ParallelPool pathos_available = True + except ImportError: pathos_available = False + ParallelPool = None import sqlite3 -from typing import Dict, Generator, List, Optional, Sequence, Tuple, Union +from typing import TYPE_CHECKING -import pymatgen from pymatgen.ext.matproj import MPRester from . import logger from .structure import SmactStructure from .utilities import convert_next_gen_mprest_data, get_sign +if TYPE_CHECKING: + from collections.abc import Sequence + + import pymatgen + class StructureDB: - """SQLite Structure Database interface. + """ + SQLite Structure Database interface. Acts as a context manager for database interfacing and wraps several useful SQLite commands within methods. Attributes: + ---------- db: The database name. conn: The database connection. Only open when used as a context manager. @@ -37,9 +46,10 @@ class StructureDB: when class implemented as context manager. Examples: + -------- Connecting to a database in memory: - >>> DB = StructureDB(':memory:') + >>> DB = StructureDB(":memory:") >>> with DB as c: ... _ = c.execute("CREATE TABLE test (id, val)") ... c.execute("SELECT * FROM test").fetchall() @@ -52,9 +62,11 @@ class StructureDB: """ def __init__(self, db: str): - """Set database name. + """ + Set database name. Args: + ---- db (str): The name of the database. Can also be ':memory:' to connect to a database in RAM. @@ -62,9 +74,11 @@ def __init__(self, db: str): self.db = db def __enter__(self) -> sqlite3.Cursor: - """Initialize database connection. + """ + Initialize database connection. Returns: + ------- An SQLite cursor for interfacing with the database. """ @@ -74,7 +88,8 @@ def __enter__(self) -> sqlite3.Cursor: return self.cur def __exit__(self, exc_type, *args): - """Close database connection. + """ + Close database connection. Commits all changes before closing. Alternatively, rolls back any changes if an exception @@ -91,19 +106,20 @@ def __exit__(self, exc_type, *args): def add_mp_icsd( self, table: str, - mp_data: Optional[ - List[Dict[str, Union[pymatgen.core.Structure, str]]] - ] = None, - mp_api_key: Optional[str] = None, + mp_data: list[dict[str, pymatgen.core.Structure | str]] | None = None, + mp_api_key: str | None = None, ) -> int: - """Add a table populated with Materials Project-hosted ICSD structures. + """ + Add a table populated with Materials Project-hosted ICSD structures. Note: + ---- This is very computationally expensive for large datasets and will not likely run on a laptop. If possible, download a pre-constructed database. Args: + ---- table (str): The name of the table to add. mp_data: The Materials Project data to parse. If this is None, data will be downloaded. Downloading data needs `mp_api_key` to be set. @@ -111,6 +127,7 @@ def add_mp_icsd( is None. Returns: + ------- The number of structs added. """ @@ -122,9 +139,7 @@ def add_mp_icsd( properties=["structure", "material_id"], ) except NotImplementedError: - docs = m.summary.search( - theoretical=False, fields=["structure", "material_id"] - ) + docs = m.summary.search(theoretical=False, fields=["structure", "material_id"]) data = [convert_next_gen_mprest_data(doc) for doc in docs] else: data = mp_data @@ -140,9 +155,11 @@ def add_mp_icsd( return self.add_structs(parse_iter, table, commit_after_each=True) def add_table(self, table: str): - """Add a table to the database. + """ + Add a table to the database. Args: + ---- table: The name of the table to add """ @@ -153,9 +170,11 @@ def add_table(self, table: str): ) def add_struct(self, struct: SmactStructure, table: str): - """Add a SmactStructure to a table. + """ + Add a SmactStructure to a table. Args: + ---- struct: The :class:`~.SmactStructure` to add. table: The name of the table to add the structure to. @@ -169,11 +188,13 @@ def add_structs( self, structs: Sequence[SmactStructure], table: str, - commit_after_each: Optional[bool] = False, + commit_after_each: bool | None = False, ) -> int: - """Add several SmactStructures to a table. + """ + Add several SmactStructures to a table. Args: + ---- structs: Iterable of :class:`~.SmactStructure` s to add to table. table: The name of the table to add the structs to. commit_after_each (bool, optional): Whether to commit the addition @@ -184,6 +205,7 @@ def add_structs( Defaults to False. Returns: + ------- The number of structures added. """ @@ -202,15 +224,18 @@ def add_structs( return num - def get_structs(self, composition: str, table: str) -> List[SmactStructure]: - """Get SmactStructures for a given composition. + def get_structs(self, composition: str, table: str) -> list[SmactStructure]: + """ + Get SmactStructures for a given composition. Args: + ---- composition: The composition to search for. See :meth:`SmactStructure.composition`. table: The name of the table in which to search. Returns: + ------- A list of :class:`~.SmactStructure` s. """ @@ -224,16 +249,19 @@ def get_structs(self, composition: str, table: str) -> List[SmactStructure]: def get_with_species( self, - species: List[Tuple[str, int]], + species: list[tuple[str, int]], table: str, - ) -> List[SmactStructure]: - """Get SmactStructures containing given species. + ) -> list[SmactStructure]: + """ + Get SmactStructures containing given species. Args: + ---- species: A list of species as tuples, in (element, charge) format. table: The name of the table from which to get the species. Returns: + ------- A list of :class:`SmactStructure` s in the table that contain the species. """ @@ -244,11 +272,7 @@ def get_with_species( species.sort(key=itemgetter(0)) # Generate a list of [element1, charge1, sign1, element2, ...] - vals = list( - itertools.chain.from_iterable( - [x[0], abs(x[1]), get_sign(x[1])] for x in species - ) - ) + vals = list(itertools.chain.from_iterable([x[0], abs(x[1]), get_sign(x[1])] for x in species)) glob_form = glob.format(*vals) @@ -263,12 +287,14 @@ def get_with_species( def parse_mprest( - data: Dict[str, Union[pymatgen.core.Structure, str]], + data: dict[str, pymatgen.core.Structure | str], determine_oxi: str = "BV", ) -> SmactStructure: - """Parse MPRester query data to generate structures. + """ + Parse MPRester query data to generate structures. Args: + ---- data: A dictionary containing the keys 'structure' and 'material_id', with the associated values. determine_oxi (str): The method to determine the assignments oxidation states in the structure. @@ -276,6 +302,7 @@ def parse_mprest( ICSD statistics or trial both sequentially, respectively. Returns: + ------- An oxidation-state-decorated :class:`SmactStructure`. """ @@ -285,11 +312,7 @@ def parse_mprest( data = convert_next_gen_mprest_data(data) try: - return SmactStructure.from_py_struct( - data["structure"], determine_oxi="BV" - ) + return SmactStructure.from_py_struct(data["structure"], determine_oxi="BV") except: # Couldn't decorate with oxidation states - logger.warn( - f"Couldn't decorate {data['material_id']} with oxidation states." - ) + logger.warn(f"Couldn't decorate {data['material_id']} with oxidation states.") diff --git a/smact/structure_prediction/mutation.py b/smact/structure_prediction/mutation.py index 41667506..df9068e5 100644 --- a/smact/structure_prediction/mutation.py +++ b/smact/structure_prediction/mutation.py @@ -1,23 +1,29 @@ """Tools for handling ion mutation.""" +from __future__ import annotations + import itertools import json import os -import re from copy import deepcopy from operator import itemgetter -from typing import Callable, Generator, Optional, Tuple +from typing import TYPE_CHECKING, Callable import numpy as np import pandas as pd import pymatgen.analysis.structure_prediction as pymatgen_sp -from .structure import SmactStructure from .utilities import parse_spec +if TYPE_CHECKING: + from collections.abc import Generator + + from .structure import SmactStructure + class CationMutator: - """Handles cation mutation of SmactStructures based on substitution probability. + """ + Handles cation mutation of SmactStructures based on substitution probability. Based on the algorithm presented in: Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011) @@ -30,11 +36,13 @@ class CationMutator: def __init__( self, lambda_df: pd.DataFrame, - alpha: Optional[Callable[[str, str], float]] = (lambda s1, s2: -5.0), + alpha: Callable[[str, str], float] | None = (lambda s1, s2: -5.0), ): - """Assign attributes and get lambda table. + """ + Assign attributes and get lambda table. Args: + ---- lambda_df: A pandas DataFrame, with column and index labels as species strings and lambda values as entries. alpha: A function to call to fill in missing lambda values. @@ -47,11 +55,7 @@ def __init__( """ self.lambda_tab = lambda_df - self.specs = set( - itertools.chain.from_iterable( - set(getattr(self.lambda_tab, x)) for x in ["columns", "index"] - ) - ) + self.specs = set(itertools.chain.from_iterable(set(getattr(self.lambda_tab, x)) for x in ["columns", "index"])) self.alpha = alpha @@ -62,12 +66,14 @@ def __init__( @staticmethod def from_json( - lambda_json: Optional[str] = None, - alpha: Optional[Callable[[str, str], float]] = (lambda s1, s2: -5.0), + lambda_json: str | None = None, + alpha: Callable[[str, str], float] | None = (lambda s1, s2: -5.0), ): - """Create a CationMutator instance from a DataFrame. + """ + Create a CationMutator instance from a DataFrame. Args: + ---- lambda_json (str, optional): JSON-style representation of the lambda table. This is a list of entries, containing pairs and their associated lambda values. @@ -77,6 +83,7 @@ def from_json( alpha: See :meth:`__init__`. Returns: + ------- A :class:`CationMutator` instance. """ @@ -98,12 +105,13 @@ def from_json( lambda_dat = [tuple(x) for x in lambda_dat] lambda_df = pd.DataFrame(lambda_dat) - lambda_df = lambda_df.pivot(index=0, columns=1, values=2) + lambda_df = lambda_df.pivot_table(index=0, columns=1, values=2) return CationMutator(lambda_df, alpha) def _populate_lambda(self): - """Populate lambda table. + """ + Populate lambda table. Ensures no values are NaN and performs alpha calculations, such that an entry exists for every possible species @@ -116,18 +124,18 @@ def _populate_lambda(self): def add_alpha(s1, s2): """Add an alpha value to the lambda table at both coordinates.""" a = self.alpha(s1, s2) - self.lambda_tab.at[s1, s2] = a - self.lambda_tab.at[s2, s1] = a + self.lambda_tab.loc[s1, s2] = a + self.lambda_tab.loc[s2, s1] = a def mirror_lambda(s1, s2): """Mirror the lambda value at (s2, s1) into (s1, s2).""" - self.lambda_tab.at[s1, s2] = self.lambda_tab.at[s2, s1] + self.lambda_tab.loc[s1, s2] = self.lambda_tab.loc[s2, s1] for s1, s2 in pairs: try: - if np.isnan(self.lambda_tab.at[s1, s2]): + if np.isnan(self.lambda_tab.loc[s1, s2]): try: - if not np.isnan(self.lambda_tab.at[s2, s1]): + if not np.isnan(self.lambda_tab.loc[s2, s1]): mirror_lambda(s1, s2) else: add_alpha(s1, s2) @@ -137,7 +145,7 @@ def mirror_lambda(s1, s2): mirror_lambda(s2, s1) except KeyError: try: - if np.isnan(self.lambda_tab.at[s2, s1]): + if np.isnan(self.lambda_tab.loc[s2, s1]): add_alpha(s1, s2) else: mirror_lambda(s1, s2) @@ -149,31 +157,37 @@ def mirror_lambda(s1, s2): self.lambda_tab = self.lambda_tab[idx] def get_lambda(self, s1: str, s2: str) -> float: - """Get lambda values corresponding to a pair of species. + """ + Get lambda values corresponding to a pair of species. Args: + ---- s1 (str): One of the species. s2 (str): The other species. Returns: + ------- lambda (float): The lambda value, if it exists in the table. Otherwise, the alpha value for the two species. """ if {s1, s2} <= self.specs: - return self.lambda_tab.at[s1, s2] + return self.lambda_tab.loc[s1, s2] return self.alpha(s1, s2) def get_lambdas(self, species: str) -> pd.Series: - """Get all the lambda values associated with a species. + """ + Get all the lambda values associated with a species. Args: + ---- species (str): The species for which to get the lambda values. Returns: + ------- A pandas Series, with index-labelled lambda entries. """ @@ -188,7 +202,8 @@ def _mutate_structure( init_species: str, final_species: str, ) -> SmactStructure: - """Mutate a species within a SmactStructure. + """ + Mutate a species within a SmactStructure. Replaces all instances of the species within the structure. Every site occupied by the species @@ -199,16 +214,20 @@ def _mutate_structure( Requires the species to have the same charge. Note: + ---- Creates a deepcopy of the supplied structure, such that the original instance is not modified. Args: + ---- + structure (SmactStructure): The structure to mutate. init_species (str): The species within the structure to mutate. final_species (str): The species to replace the initial species with. Returns: + ------- A :class:`.~SmactStructure`, with the species mutated. @@ -237,12 +256,8 @@ def _mutate_structure( # Replace sites struct_buff.sites[final_species] = struct_buff.sites.pop(init_species) # And sort - species_strs = struct_buff._format_style("{ele}{charge}{sign}").split( - " " - ) - struct_buff.sites = { - spec: struct_buff.sites[spec] for spec in species_strs - } + species_strs = struct_buff._format_style("{ele}{charge}{sign}").split(" ") + struct_buff.sites = {spec: struct_buff.sites[spec] for spec in species_strs} return struct_buff @@ -252,12 +267,15 @@ def _nary_mutate_structure( init_species: list, final_species: list, ) -> SmactStructure: - """Perform a n-ary mutation of a SmactStructure (n>1). + """ + Perform a n-ary mutation of a SmactStructure (n>1). Replaces all instances of a group of species within the structure. Stoichiometry is maintained. Charge neutrality is preserved, but the species pair do not need the same charge. Args: + ---- + structure (SmactStructure): The structure to mutate. init_species (list): A list of species within the structure to mutate. final_species (list): The list of species to replace the initial species with @@ -268,9 +286,7 @@ def _nary_mutate_structure( struct_buff = deepcopy(structure) init_spec_tup_list = [parse_spec(i) for i in init_species] struct_spec_tups = list(map(itemgetter(0, 1), struct_buff.species)) - spec_loc = [ - struct_spec_tups.index(init_spec_tup_list[i]) for i in range(n) - ] + spec_loc = [struct_spec_tups.index(init_spec_tup_list[i]) for i in range(n)] final_spec_tup_list = [parse_spec(i) for i in final_species] @@ -291,17 +307,11 @@ def _nary_mutate_structure( # Replace sites for i in range(n): - struct_buff.sites[final_species[i]] = struct_buff.sites.pop( - init_species[i] - ) + struct_buff.sites[final_species[i]] = struct_buff.sites.pop(init_species[i]) # And sort - species_strs = struct_buff._format_style("{ele}{charge}{sign}").split( - " " - ) - struct_buff.sites = { - spec: struct_buff.sites[spec] for spec in species_strs - } + species_strs = struct_buff._format_style("{ele}{charge}{sign}").split(" ") + struct_buff.sites = {spec: struct_buff.sites[spec] for spec in species_strs} return struct_buff @@ -310,7 +320,8 @@ def sub_prob(self, s1: str, s2: str) -> float: return np.exp(self.get_lambda(s1, s2)) / self.Z def sub_probs(self, s1: str) -> pd.Series: - """Determine the substitution probabilities of a species with others. + """ + Determine the substitution probabilities of a species with others. Determines the probability of substitution of the species with every species in the lambda table. @@ -346,7 +357,7 @@ def complete_pair_corrs(self) -> pd.DataFrame: return corr def same_spec_probs(self) -> pd.Series: - """Calculate the same species substiution probabilities.""" + """Calculate the same species substitution probabilities.""" return ( np.exp( pd.Series( @@ -358,10 +369,8 @@ def same_spec_probs(self) -> pd.Series: ) def same_spec_cond_probs(self) -> pd.Series: - """Calculate the same species conditional substiution probabilities.""" - return np.exp(self.lambda_tab.to_numpy().diagonal()) / np.exp( - self.lambda_tab - ).sum(axis=0) + """Calculate the same species conditional substitution probabilities.""" + return np.exp(self.lambda_tab.to_numpy().diagonal()) / np.exp(self.lambda_tab).sum(axis=0) def pair_corr(self, s1: str, s2: str) -> float: """Determine the pair correlation of two ionic species.""" @@ -372,12 +381,11 @@ def pair_corr(self, s1: str, s2: str) -> float: def cond_sub_prob(self, s1: str, s2: str) -> float: """Calculate the probability of substitution of one species with another.""" - return ( - np.exp(self.get_lambda(s1, s2)) / np.exp(self.get_lambdas(s2)).sum() - ) + return np.exp(self.get_lambda(s1, s2)) / np.exp(self.get_lambdas(s2)).sum() def cond_sub_probs(self, s1: str) -> pd.Series: - """Calculate the probabilities of substitution of a given species. + """ + Calculate the probabilities of substitution of a given species. Calculates probabilities of substitution of given species with all others in the lambda table. @@ -391,16 +399,19 @@ def cond_sub_probs(self, s1: str) -> pd.Series: def unary_substitute( self, structure: SmactStructure, - thresh: Optional[float] = 1e-5, - ) -> Generator[Tuple[SmactStructure, float], None, None]: - """Find all structures with 1 substitution with probability above a threshold. + thresh: float | None = 1e-5, + ) -> Generator[tuple[SmactStructure, float], None, None]: + """ + Find all structures with 1 substitution with probability above a threshold. Args: + ---- structure: A :class:`SmactStructure` instance from which to generate compounds. thresh (float): The probability threshold; discard all substitutions that have a probability to generate a naturally-occuring compound less than this. Yields: + ------ Tuples of (:class:`SmactStructure`, probability). """ diff --git a/smact/structure_prediction/prediction.py b/smact/structure_prediction/prediction.py index 5fedfd28..5baf1cfc 100644 --- a/smact/structure_prediction/prediction.py +++ b/smact/structure_prediction/prediction.py @@ -1,6 +1,8 @@ -"""Structure prediction implementation. +""" +Structure prediction implementation. Todo: +---- * Test with a fully populated database. * Implement n-ary substitution probabilities; at the moment, only zero- and single-species @@ -8,19 +10,26 @@ """ +from __future__ import annotations + import itertools -from typing import Generator, List, Optional, Tuple +from typing import TYPE_CHECKING import numpy as np -from .database import StructureDB -from .mutation import CationMutator -from .structure import SmactStructure from .utilities import parse_spec, unparse_spec +if TYPE_CHECKING: + from collections.abc import Generator + + from .database import StructureDB + from .mutation import CationMutator + from .structure import SmactStructure + class StructurePredictor: - """Provides structure prediction functionality. + """ + Provides structure prediction functionality. Implements a statistically-based model for determining likely structures of a given composition, based on a @@ -35,14 +44,14 @@ class StructurePredictor: """ - def __init__( - self, mutator: CationMutator, struct_db: StructureDB, table: str - ): - """Initialize class. + def __init__(self, mutator: CationMutator, struct_db: StructureDB, table: str): + """ + Initialize class. Args: + ---- mutator: A :class:`CationMutator` for probability calculations. - struct_db: A :class:`StructureDB` from which to read strucutures + struct_db: A :class:`StructureDB` from which to read structures to attempt to mutate. table: The table to reference within the database @@ -53,13 +62,15 @@ def __init__( def predict_structs( self, - species: List[Tuple[str, int]], - thresh: Optional[float] = 1e-3, - include_same: Optional[bool] = True, - ) -> Generator[Tuple[SmactStructure, float, SmactStructure], None, None]: - """Predict structures for a combination of species. + species: list[tuple[str, int]], + thresh: float | None = 1e-3, + include_same: bool | None = True, + ) -> Generator[tuple[SmactStructure, float, SmactStructure], None, None]: + """ + Predict structures for a combination of species. Args: + ---- species: A list of (element, charge). The constituent species of the target compound. thresh: The probability threshold, below which to discard @@ -69,6 +80,7 @@ def predict_structs( same species. Defaults to True. Yields: + ------ Potential structures, as tuples of (structure, probability, parent). """ @@ -82,9 +94,9 @@ def predict_structs( sub_spec = itertools.combinations(species, len(species) - 1) sub_spec = list(map(list, sub_spec)) - potential_unary_parents: List[List[SmactStructure]] = list( + potential_unary_parents: list[list[SmactStructure]] = [ self.db.get_with_species(specs, self.table) for specs in sub_spec - ) + ] for spec_idx, parents in enumerate(potential_unary_parents): # Get missing ion @@ -110,20 +122,9 @@ def predict_structs( # Determine probability # Get species to be substituted # Ensure only 1 species is obtained - if ( - len( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - {diff_spec_str} - ) - > 1 - ): + if len(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - {diff_spec_str}) > 1: continue - (alt_spec,) = ( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - {diff_spec_str} - ) + (alt_spec,) = set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - {diff_spec_str} if parse_spec(alt_spec)[1] != diff_spec[1]: # Different charge @@ -137,30 +138,28 @@ def predict_structs( if p > thresh: try: - mutated = self.cm._mutate_structure( - parent, alt_spec, diff_spec_str - ) + self.cm._mutate_structure(parent, alt_spec, diff_spec_str) except ValueError: # Poorly decorated continue yield ( - self.cm._mutate_structure( - parent, alt_spec, diff_spec_str - ), + self.cm._mutate_structure(parent, alt_spec, diff_spec_str), p, parent, ) def nary_predict_structs( self, - species: List[Tuple[str, int]], - n_ary: Optional[int] = 2, - thresh: Optional[float] = 1e-3, - include_same: Optional[bool] = True, - ) -> Generator[Tuple[SmactStructure, float, SmactStructure], None, None]: - """Predicts structures for a combination of species. + species: list[tuple[str, int]], + n_ary: int | None = 2, + thresh: float | None = 1e-3, + include_same: bool | None = True, + ) -> Generator[tuple[SmactStructure, float, SmactStructure], None, None]: + """ + Predicts structures for a combination of species. Args: + ---- species: A list of (element, charge). The constituent species of the target compound. thresh: The probability threshold, below which to discard predictions. @@ -169,9 +168,10 @@ def nary_predict_structs( i.e. structures containing all the same species. Yields: + ------ Potential structures, as tuples of (structure, probability, parent). - """ + """ if include_same: for identical in self.db.get_with_species(species, self.table): yield (identical, 1.0, identical) @@ -182,9 +182,9 @@ def nary_predict_structs( sub_species = itertools.combinations(species, len(species) - n_ary) sub_species = list(map(list, sub_species)) - potential_nary_parents: List[List[SmactStructure]] = list( + potential_nary_parents: list[list[SmactStructure]] = [ self.db.get_with_species(specs, self.table) for specs in sub_species - ) + ] for spec_idx, parents in enumerate(potential_nary_parents): # Get missing ions @@ -197,76 +197,58 @@ def nary_predict_structs( diff_sub_probs = [self.cm.cond_sub_probs(i) for i in diff_spec_str] - for parent in parents: - # print("testing parent") - # Filter out any structures with identical species - if n_ary == 1: - if parent.has_species(diff_species[0]): - continue - elif n_ary == 2: - if parent.has_species(diff_species[0]) and parent.has_species( - diff_species[1] - ): - continue - elif n_ary == 3: - if ( + for parent in parents: + # print("testing parent") + # Filter out any structures with identical species + if n_ary == 1: + if parent.has_species(diff_species[0]): + continue + elif n_ary == 2: + if parent.has_species(diff_species[0]) and parent.has_species(diff_species[1]): + continue + elif n_ary == 3 and ( parent.has_species(diff_species[0]) and parent.has_species(diff_species[1]) and parent.has_species(diff_species[2]) ): continue - # Ensure parent has as many species as target - if len(parent.species) != len(species): - continue + # Ensure parent has as many species as target + if len(parent.species) != len(species): + continue - # Determine probability - # Get species to be substituted - # Ensure n species are obtained - - if ( - len( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - set(diff_species) - ) - != n_ary - ): - continue - alt_spec = list( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - set(diff_species) - ) - - # Need to consider p(A,X)p(B,Y) and p(A,Y)p(B,X) - # if utilities.parse_spec(alt_spec_1)[1] != diff_species_1[1] and utilities.parse_spec(alt_spec_2)[1] != diff_species_2[1] : - # Different charge - # continue + # Determine probability + # Get species to be substituted + # Ensure n species are obtained - try: - p = [] - for i in range(n_ary): - p.append(diff_sub_probs[i].loc[alt_spec[i]]) - except: - # Not in the Series - continue + if len(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - set(diff_species)) != n_ary: + continue + alt_spec = list(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - set(diff_species)) - p = np.prod(p) + # Need to consider p(A,X)p(B,Y) and p(A,Y)p(B,X) + # if utilities.parse_spec(alt_spec_1)[1] != diff_species_1[1] and utilities.parse_spec(alt_spec_2)[1] != diff_species_2[1] : + # Different charge + # continue - if p > thresh: try: - mutated = self.cm._nary_mutate_structure( - parent, alt_spec, diff_spec_str - ) - - except ValueError: - # Poorly decorated + p = [] + for i in range(n_ary): + p.append(diff_sub_probs[i].loc[alt_spec[i]]) + except: + # Not in the Series continue - yield ( - self.cm._nary_mutate_structure( - parent, alt_spec, diff_spec_str - ), - p, - parent, - ) + + p = np.prod(p) + + if p > thresh: + try: + self.cm._nary_mutate_structure(parent, alt_spec, diff_spec_str) + + except ValueError: + # Poorly decorated + continue + yield ( + self.cm._nary_mutate_structure(parent, alt_spec, diff_spec_str), + p, + parent, + ) diff --git a/smact/structure_prediction/probability_models.py b/smact/structure_prediction/probability_models.py index 4b6a8bb2..64900f5c 100644 --- a/smact/structure_prediction/probability_models.py +++ b/smact/structure_prediction/probability_models.py @@ -1,4 +1,5 @@ -"""Probability models for species substitution. +""" +Probability models for species substitution. Implements base class :class:`SubstitutionModel`, which can be extended to allow for development of new @@ -6,6 +7,7 @@ :class:`RadiusModel`, is also implemented. Todo: +---- * Allow for parallelism in lambda table calculations by implementing a `sub_probs` abstractmethod that :meth:`SubstitutionModel.gen_lambda` uses, @@ -13,10 +15,11 @@ """ +from __future__ import annotations + import abc import os from itertools import combinations_with_replacement -from typing import Dict, List, Optional import pandas as pd @@ -30,24 +33,30 @@ class SubstitutionModel(abc.ABC): @abc.abstractmethod def sub_prob(self, s1: str, s2: str) -> float: - """Calculate the probability of substituting species s1 for s2. + """ + Calculate the probability of substituting species s1 for s2. Args: + ---- s1: The species being substituted. s2: The species substituting. Returns: + ------- The probability of substitution. """ - def gen_lambda(self, species: List[str]) -> pd.DataFrame: - """Generate a lambda table for a list of species. + def gen_lambda(self, species: list[str]) -> pd.DataFrame: + """ + Generate a lambda table for a list of species. Args: + ---- species: A list of species strings. Returns: + ------- A pivot table-style DataFrame containing lambda values for every possible species pair. @@ -62,14 +71,15 @@ def gen_lambda(self, species: List[str]) -> pd.DataFrame: lambda_tab.append((s2, s1, prob)) df = pd.DataFrame(lambda_tab) - return df.pivot(index=0, columns=1, values=2) + return df.pivot_table(index=0, columns=1, values=2) class RadiusModel(SubstitutionModel): """Substitution probability model based on Shannon radii.""" def __init__(self): - r"""Parse Shannon radii data file. + r""" + Parse Shannon radii data file. Also calculates "spring constant", _k_, based on maximum difference in Shannon radii: @@ -82,13 +92,11 @@ def __init__(self): self.shannon_data = pd.read_csv(shannon_file, index_col=0) - self.k = ( - self.shannon_data["ionic_radius"].max() - - self.shannon_data["ionic_radius"].min() - ) ** -2 + self.k = (self.shannon_data["ionic_radius"].max() - self.shannon_data["ionic_radius"].min()) ** -2 def sub_prob(self, s1, s2): - r"""Calculate the probability of substituting species s1 for s2. + r""" + Calculate the probability of substituting species s1 for s2. Based on the difference in Shannon radii, the probability is assumed to be: @@ -97,10 +105,12 @@ def sub_prob(self, s1, s2): p = 1 - k \Delta r^2. Args: + ---- s1: The species being substituted. s2: The species substituting. Returns: + ------- The probability of substitution. """ diff --git a/smact/structure_prediction/structure.py b/smact/structure_prediction/structure.py index 0f072b35..202b97fe 100644 --- a/smact/structure_prediction/structure.py +++ b/smact/structure_prediction/structure.py @@ -1,12 +1,12 @@ """Minimalist structure representation for comprehensible manipulation.""" -import logging +from __future__ import annotations + import re from collections import defaultdict from functools import reduce from math import gcd from operator import itemgetter -from typing import Dict, List, Optional, Tuple, Union import numpy as np import pymatgen @@ -18,12 +18,12 @@ import smact -from . import logger from .utilities import convert_next_gen_mprest_data, get_sign class SmactStructure: - """SMACT implementation inspired by pymatgen Structure class. + """ + SMACT implementation inspired by pymatgen Structure class. Handles basic structural and compositional information for a compound. Includes a lossless POSCAR-style specification for storing structures, @@ -31,6 +31,7 @@ class SmactStructure: from the `Materials Project `_. Attributes: + ---------- species: A list of tuples describing the composition of the structure, stored as (element, oxidation, stoichiometry). The list is sorted alphabetically based on element symbol, and identical elements @@ -40,7 +41,7 @@ class SmactStructure: representation of the species and coords is a list of position vectors, given as lists of length 3. For example: - >>> s = SmactStructure.from_file('tests/files/NaCl.txt') + >>> s = SmactStructure.from_file("tests/files/NaCl.txt") >>> s.sites {'Cl1-': [[2.323624165, 1.643050405, 4.02463512]], 'Na1+': [[0.0, 0.0, 0.0]]} @@ -50,15 +51,17 @@ class SmactStructure: def __init__( self, - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], + species: list[tuple[str, int, int] | tuple[smact.Species, int]], lattice_mat: np.ndarray, - sites: Dict[str, List[List[float]]], - lattice_param: Optional[float] = 1.0, - sanitise_species: Optional[bool] = True, + sites: dict[str, list[list[float]]], + lattice_param: float | None = 1.0, + sanitise_species: bool | None = True, ): - """Initialize structure with constituent species. + """ + Initialize structure with constituent species. Args: + ---- species: See :class:`~.SmactStructure`. May be supplied as either a list of (element, oxidation, stoichiometry) or (:class:`~smact.Species`, stoichiometry). lattice_mat: See :class:`~.SmactStructure`. @@ -69,20 +72,17 @@ def __init__( :meth:`~.from_mp`. """ - self.species = ( - self._sanitise_species(species) if sanitise_species else species - ) + self.species = self._sanitise_species(species) if sanitise_species else species self.lattice_mat = lattice_mat - self.sites = { - spec: sites[spec] for spec in self.get_spec_strs() - } # Sort sites + self.sites = {spec: sites[spec] for spec in self.get_spec_strs()} # Sort sites self.lattice_param = lattice_param def __repr__(self): - """Represent the structure as a POSCAR. + """ + Represent the structure as a POSCAR. Alias for :meth:`~.as_poscar`. @@ -90,12 +90,14 @@ def __repr__(self): return self.as_poscar() def __eq__(self, other): - """Determine equality of SmactStructures based on their attributes. + """ + Determine equality of SmactStructures based on their attributes. :attr:`~.species`, :attr:`~.lattice_mat`, :attr:`~.lattice_param` and :attr:`~.sites` must all be equal for the comparison to be True. Note: + ---- For the SmactStructures to be equal their attributes must be *identical*. For example, it is insufficient that the two structures have the same space group or the same species; @@ -116,18 +118,22 @@ def __eq__(self, other): @staticmethod def _sanitise_species( - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], - ) -> List[Tuple[str, int, int]]: - """Sanitise and format a list of species. + species: list[tuple[str, int, int] | tuple[smact.Species, int]], + ) -> list[tuple[str, int, int]]: + """ + Sanitise and format a list of species. Args: + ---- species: See :meth:`~.__init__`. Returns: + ------- sanit_species: Sanity-checked species in the format of a list of (element, oxidation, stoichiometry). Raises: + ------ TypeError: species contains the wrong types. ValueError: species is either empty or contains tuples of incorrect length. @@ -138,9 +144,7 @@ def _sanitise_species( if len(species) == 0: raise ValueError("`species` cannot be empty.") if not isinstance(species[0], tuple): - raise TypeError( - f"`species` must be a list of tuples, got list of {type(species[0])}." - ) + raise TypeError(f"`species` must be a list of tuples, got list of {type(species[0])}.") species_error = ( "`species` list of tuples must contain either " @@ -155,13 +159,9 @@ def _sanitise_species( species.sort(key=itemgetter(0)) sanit_species = species - elif isinstance( - species[0][0], smact.Species - ): # Species class variation of instantiation + elif isinstance(species[0][0], smact.Species): # Species class variation of instantiation species.sort(key=lambda x: (x[0].symbol, -x[0].oxidation)) - sanit_species = [ - (x[0].symbol, x[0].oxidation, x[1]) for x in species - ] + sanit_species = [(x[0].symbol, x[0].oxidation, x[1]) for x in species] else: raise TypeError(species_error) @@ -171,13 +171,16 @@ def _sanitise_species( @staticmethod def __parse_py_sites( structure: pymatgen.core.Structure, - ) -> Tuple[Dict[str, List[List[float]]], List[Tuple[str, int, int]]]: - """Parse the sites of a pymatgen Structure. + ) -> tuple[dict[str, list[list[float]]], list[tuple[str, int, int]]]: + """ + Parse the sites of a pymatgen Structure. Args: + ---- structure: A :class:`pymatgen.core.Structure` instance. Returns: + ------- sites (dict): In which a key is a species string and its corresponding value is a list of the coordinates that species occupies in the supercell. The coordinates @@ -188,9 +191,7 @@ def __parse_py_sites( """ if not isinstance(structure, pymatgen.core.Structure): - raise TypeError( - "structure must be a pymatgen.core.Structure instance." - ) + raise TypeError("structure must be a pymatgen.core.Structure instance.") sites = defaultdict(list) for site in structure.sites: @@ -230,25 +231,24 @@ def __parse_py_sites( return sites, species @staticmethod - def from_py_struct( - structure: pymatgen.core.Structure, determine_oxi: str = "BV" - ): - """Create a SmactStructure from a pymatgen Structure object. + def from_py_struct(structure: pymatgen.core.Structure, determine_oxi: str = "BV"): + """ + Create a SmactStructure from a pymatgen Structure object. Args: + ---- structure: A pymatgen Structure. determine_oxi (str): The method to determine the assignments oxidation states in the structure. Options are 'BV', 'comp_ICSD','both' for determining the oxidation states by bond valence, ICSD statistics or trial both sequentially, respectively. Returns: + ------- :class:`~.SmactStructure` """ if not isinstance(structure, pymatgen.core.Structure): - raise TypeError( - "Structure must be a pymatgen.core.Structure instance." - ) + raise TypeError("Structure must be a pymatgen.core.Structure instance.") if determine_oxi == "BV": bva = BVAnalyzer() @@ -256,9 +256,7 @@ def from_py_struct( elif determine_oxi == "comp_ICSD": comp = structure.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(structure) print("Charge assigned based on ICSD statistics") @@ -269,9 +267,7 @@ def from_py_struct( print("Oxidation states assigned using bond valence") except ValueError: comp = structure.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(structure) print("Oxidation states assigned based on ICSD statistics") elif determine_oxi == "predecorated": @@ -298,13 +294,15 @@ def from_py_struct( @staticmethod def from_mp( - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], + species: list[tuple[str, int, int] | tuple[smact.Species, int]], api_key: str, determine_oxi: str = "BV", ): - """Create a SmactStructure using the first Materials Project entry for a composition. + """ + Create a SmactStructure using the first Materials Project entry for a composition. Args: + ---- species: See :meth:`~.__init__`. determine_oxi (str): The method to determine the assignments oxidation states in the structure. Options are 'BV', 'comp_ICSD','both' for determining the oxidation states by bond valence, @@ -312,6 +310,7 @@ def from_mp( api_key: A www.materialsproject.org API key. Returns: + ------- :class:`~.SmactStructure` """ @@ -333,25 +332,20 @@ def from_mp( if len(structs) == 0: raise ValueError( - "Could not find composition in Materials Project Database, " - "please supply a structure." + "Could not find composition in Materials Project Database, " "please supply a structure." ) # Default to first found structure struct = structs[0]["structure"] - if 0 not in ( - spec[1] for spec in sanit_species - ): # If everything's charged + if 0 not in (spec[1] for spec in sanit_species): # If everything's charged if determine_oxi == "BV": bva = BVAnalyzer() struct = bva.get_oxi_state_decorated_structure(struct) elif determine_oxi == "comp_ICSD": comp = struct.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(struct) print("Charge assigned based on ICSD statistics") @@ -362,9 +356,7 @@ def from_mp( print("Oxidation states assigned using bond valence") except ValueError: comp = struct.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(struct) print("Oxidation states assigned based on ICSD statistics") else: @@ -387,13 +379,16 @@ def from_mp( @staticmethod def from_file(fname: str): - """Create SmactStructure from a POSCAR file. + """ + Create SmactStructure from a POSCAR file. Args: + ---- fname: The name of the POSCAR file. See :meth:`~.as_poscar` for format specification. Returns: + ------- :class:`~.SmactStructure` """ @@ -402,13 +397,16 @@ def from_file(fname: str): @staticmethod def from_poscar(poscar: str): - """Create SmactStructure from a POSCAR string. + """ + Create SmactStructure from a POSCAR string. Args: + ---- poscar: A SMACT-formatted POSCAR string. See :meth:`~.as_poscar` for format specification. Returns: + ------- :class:`~.SmactStructure` """ @@ -435,9 +433,7 @@ def from_poscar(poscar: str): lattice_param = float(lines[1]) - lattice = np.array( - [[float(point) for point in line.split(" ")] for line in lines[2:5]] - ) + lattice = np.array([[float(point) for point in line.split(" ")] for line in lines[2:5]]) sites = defaultdict(list) for line in lines[8:]: @@ -457,32 +453,36 @@ def from_poscar(poscar: str): def _format_style( self, template: str, - delim: Optional[str] = " ", - include_ground: Optional[bool] = False, + delim: str | None = " ", + include_ground: bool | None = False, ) -> str: - """Format a given template string with the composition. + """ + Format a given template string with the composition. Formats a python template string with species information, with each species separated by a given delimiter. Args: + ---- template: Template string to format, using python's curly brackets notation. Supported keywords are `ele` for the elemental symbol, `stoic` for the stoichiometry, `charge` for the absolute value of oxidation state and `sign` for the oxidation state's sign. - delim: The delimeter between species' templates. + delim: The delimiter between species' templates. include_ground: Whether to include the charge and sign of neutral species. Returns: + ------- String of templates formatted for each species, separated by `delim`. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') - >>> template = '{stoic}x{ele}{charge}{sign}' + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") + >>> template = "{stoic}x{ele}{charge}{sign}" >>> print(s._format_style(template)) 1xCa2+ 3xO2- 1xTi4+ @@ -509,17 +509,21 @@ def _format_style( ) @staticmethod - def _get_ele_stoics(species: List[Tuple[str, int, int]]) -> Dict[str, int]: - """Get the number of each element type in the compound, irrespective of oxidation state. + def _get_ele_stoics(species: list[tuple[str, int, int]]) -> dict[str, int]: + """ + Get the number of each element type in the compound, irrespective of oxidation state. Args: + ---- species: See :meth:`~.__init__`. Returns: + ------- eles: Dictionary of {element: stoichiometry}. Examples: - >>> species = [('Fe', 2, 1), ('Fe', 3, 2), ('O', -2, 4)] + -------- + >>> species = [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] >>> print(SmactStructure._get_ele_stoics(species)) {'Fe': 3, 'O': 4} @@ -530,18 +534,21 @@ def _get_ele_stoics(species: List[Tuple[str, int, int]]) -> Dict[str, int]: return dict(eles) - def has_species(self, species: Tuple[str, int]) -> bool: + def has_species(self, species: tuple[str, int]) -> bool: """Determine whether a given species is in the structure.""" return species in map(itemgetter(0, 1), self.species) - def get_spec_strs(self) -> List[str]: - """Get string representations of the constituent species. + def get_spec_strs(self) -> list[str]: + """ + Get string representations of the constituent species. Returns: + ------- A list of strings, formatted as '{element}{charge}{sign}'. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") >>> s.get_spec_strs() ['Ca2+', 'O2-', 'Ti4+'] @@ -549,17 +556,20 @@ def get_spec_strs(self) -> List[str]: return self._format_style("{ele}{charge}{sign}").split(" ") def composition(self) -> str: - """Generate a key that describes the composition. + """ + Generate a key that describes the composition. Key format is '{element}_{stoichiometry}_{charge}{sign}' with no delimiter, *sans brackets*. Species are ordered as stored within the structure, see :class:`~.SmactStructure`. Returns: + ------- Key describing constituent species. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") >>> print(s.composition()) Ca_1_2+O_3_2-Ti_1_4+ @@ -568,7 +578,8 @@ def composition(self) -> str: return self._format_style(comp_style, delim="", include_ground=True) def as_poscar(self) -> str: - """Represent the structure as a POSCAR file compatible with VASP5. + """ + Represent the structure as a POSCAR file compatible with VASP5. The POSCAR format adopted is as follows: @@ -587,6 +598,7 @@ def as_poscar(self) -> str: For examples of this format, see the text files under tests/files. Returns: + ------- str: POSCAR-style representation of the structure. """ @@ -594,21 +606,13 @@ def as_poscar(self) -> str: poscar += f"{self.lattice_param}\n" - poscar += ( - "\n".join( - " ".join(map(str, vec)) for vec in self.lattice_mat.tolist() - ) - + "\n" - ) + poscar += "\n".join(" ".join(map(str, vec)) for vec in self.lattice_mat.tolist()) + "\n" spec_count = {spec: len(coords) for spec, coords in self.sites.items()} poscar += self._format_style("{ele}") + "\n" - poscar += ( - " ".join(str(spec_count[spec]) for spec in self.get_spec_strs()) - + "\n" - ) + poscar += " ".join(str(spec_count[spec]) for spec in self.get_spec_strs()) + "\n" poscar += "Cartesian\n" for spec, coords in self.sites.items(): diff --git a/smact/structure_prediction/utilities.py b/smact/structure_prediction/utilities.py index 92e650f7..46949fee 100644 --- a/smact/structure_prediction/utilities.py +++ b/smact/structure_prediction/utilities.py @@ -1,24 +1,34 @@ """Miscellaneous tools for data parsing.""" -import re -from typing import Tuple + from pymatgen.core.structure import Structure +from __future__ import annotations + +import re +from typing import TYPE_CHECKING from . import logger +if TYPE_CHECKING: + import pymatgen + -def parse_spec(species: str) -> Tuple[str, int]: - """Parse a species string into its element and charge. +def parse_spec(species: str) -> tuple[str, int]: + """ + Parse a species string into its element and charge. Args: + ---- species (str): String representation of a species in the format {element}{absolute_charge}{sign}. Returns: + ------- A tuple of (element, signed_charge). Examples: + -------- >>> parse_spec("Fe2+") ('Fe', 2) >>> parse_spec("O2-") @@ -36,19 +46,24 @@ def parse_spec(species: str) -> Tuple[str, int]: return ele, charge -def unparse_spec(species: Tuple[str, int], include_one: bool = True) -> str: +def unparse_spec(species: tuple[str, int], include_one: bool = True) -> str: """Unparse a species into a string representation. + The analogue of :func:`parse_spec`. Args: + species (tuple[str,int]): A tuple of (element, signed_charge). include_one (bool): If True, include charge of 1 in the output if charge is 1 or -1. + Returns: + ------- String of {element}{absolute_charge}{sign}. Examples: + -------- >>> unparse_spec(("Fe", 2)) 'Fe2+' >>> unparse_spec(("O", -2)) @@ -62,12 +77,15 @@ def unparse_spec(species: Tuple[str, int], include_one: bool = True) -> str: def get_sign(charge: int) -> str: - """Get string representation of a number's sign. + """ + Get string representation of a number's sign. Args: + ---- charge (int): The number whose sign to derive. Returns: + ------- sign (str): either '+', '-', or '' for neutral. """ @@ -82,9 +100,10 @@ def get_sign(charge: int) -> str: def convert_next_gen_mprest_data( doc, ) -> dict[str, Structure | str | None]: - """Converts the `MPDataDoc` object returned by a next-gen MP query to a dictionary + """Converts the `MPDataDoc` object returned by a next-gen MP query to a dictionary. Args: + ---- doc (MPDataDoc): A MPDataDoc object (based on a pydantic model) with fields 'structure' and 'material_id' Returns: A dictionary containing at least the keys 'structure' and diff --git a/smact/tests/files/CaTiO3.json b/smact/tests/files/CaTiO3.json index 548cb923..2d032747 100644 --- a/smact/tests/files/CaTiO3.json +++ b/smact/tests/files/CaTiO3.json @@ -1 +1,162 @@ -{"@module": "pymatgen.core.structure", "@class": "Structure", "charge": 0, "lattice": {"matrix": [[5.40776, 0.0, 3.311297987278545e-16], [8.856621316385947e-16, 5.507429, 3.3723276481906544e-16], [0.0, 0.0, 7.694012]], "pbc": [true, true, true], "a": 5.40776, "b": 5.507429, "c": 7.694012, "alpha": 90.0, "beta": 90.0, "gamma": 90.0, "volume": 229.14963798636475}, "sites": [{"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.509094, 0.542875, 0.75], "xyz": [2.7530581694400005, 2.989845518375, 5.7705090000000006], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.49090599999999995, 0.457125, 0.25], "xyz": [2.65470183056, 2.517583481625, 1.9235030000000002], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.990906, 0.042874999999999996, 0.75], "xyz": [5.3585818305599995, 0.23613101837499997, 5.7705090000000006], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.009094000000000158, 0.957125, 0.25], "xyz": [0.049178169440001696, 5.2712979816250005, 1.9235030000000002], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.0, 0.5, 0.5], "xyz": [4.4283106581929737e-16, 2.7537145, 3.847006], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.0, 0.5, 0.0], "xyz": [4.4283106581929737e-16, 2.7537145, 1.6861638240953272e-16], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.5, 0.0, 0.5], "xyz": [2.70388, 0.0, 3.847006], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.5, 0.0, 0.0], "xyz": [2.70388, 0.0, 1.6556489936392726e-16], "label": "Ti4+", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.078086, 0.480194, 0.75], "xyz": [0.4222703473600004, 2.644634361226, 5.770509], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.921914, 0.519806, 0.25], "xyz": [4.985489652640001, 2.862794638774, 1.9235030000000004], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.421914, 0.980194, 0.75], "xyz": [2.2816096526400007, 5.398348861226, 5.7705090000000006], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.578086, 0.01980599999999999, 0.25], "xyz": [3.12615034736, 0.10908013877399995, 1.9235030000000002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.790623, 0.790038, 0.9589710000000002], "xyz": [4.27549943448, 4.351078192302, 7.378334381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.20937700000000004, 0.20996199999999998, 0.45897100000000024], "xyz": [1.1322605655200004, 1.156350807698, 3.531328381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.20937700000000004, 0.20996199999999998, 0.04102899999999976], "xyz": [1.1322605655200004, 1.156350807698, 0.3156776183479983], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.790623, 0.790038, 0.5410289999999998], "xyz": [4.27549943448, 4.351078192302, 4.162683618347999], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.709377, 0.290038, 0.9589710000000002], "xyz": [3.8361405655200005, 1.597363692302, 7.378334381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.2906230000000001, 0.709962, 0.45897100000000024], "xyz": [1.571619434480001, 3.910065307698, 3.5313283816520022], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.2906230000000001, 0.709962, 0.04102899999999976], "xyz": [1.571619434480001, 3.910065307698, 0.31567761834799846], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.709377, 0.290038, 0.5410289999999998], "xyz": [3.8361405655200005, 1.597363692302, 4.162683618347998], "label": "O2-", "properties": {}}]} \ No newline at end of file +{ + "@module": "pymatgen.core.structure", + "@class": "Structure", + "charge": 0, + "lattice": { + "matrix": [ + [5.40776, 0.0, 3.311297987278545e-16], + [8.856621316385947e-16, 5.507429, 3.3723276481906544e-16], + [0.0, 0.0, 7.694012] + ], + "pbc": [true, true, true], + "a": 5.40776, + "b": 5.507429, + "c": 7.694012, + "alpha": 90.0, + "beta": 90.0, + "gamma": 90.0, + "volume": 229.14963798636475 + }, + "sites": [ + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.509094, 0.542875, 0.75], + "xyz": [2.7530581694400005, 2.989845518375, 5.7705090000000006], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.49090599999999995, 0.457125, 0.25], + "xyz": [2.65470183056, 2.517583481625, 1.9235030000000002], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.990906, 0.042874999999999996, 0.75], + "xyz": [5.3585818305599995, 0.23613101837499997, 5.7705090000000006], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.009094000000000158, 0.957125, 0.25], + "xyz": [0.049178169440001696, 5.2712979816250005, 1.9235030000000002], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.5], + "xyz": [4.4283106581929737e-16, 2.7537145, 3.847006], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.0], + "xyz": [4.4283106581929737e-16, 2.7537145, 1.6861638240953272e-16], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.5], + "xyz": [2.70388, 0.0, 3.847006], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.0], + "xyz": [2.70388, 0.0, 1.6556489936392726e-16], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.078086, 0.480194, 0.75], + "xyz": [0.4222703473600004, 2.644634361226, 5.770509], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.921914, 0.519806, 0.25], + "xyz": [4.985489652640001, 2.862794638774, 1.9235030000000004], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.421914, 0.980194, 0.75], + "xyz": [2.2816096526400007, 5.398348861226, 5.7705090000000006], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.578086, 0.01980599999999999, 0.25], + "xyz": [3.12615034736, 0.10908013877399995, 1.9235030000000002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.790623, 0.790038, 0.9589710000000002], + "xyz": [4.27549943448, 4.351078192302, 7.378334381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.20937700000000004, 0.20996199999999998, 0.45897100000000024], + "xyz": [1.1322605655200004, 1.156350807698, 3.531328381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.20937700000000004, 0.20996199999999998, 0.04102899999999976], + "xyz": [1.1322605655200004, 1.156350807698, 0.3156776183479983], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.790623, 0.790038, 0.5410289999999998], + "xyz": [4.27549943448, 4.351078192302, 4.162683618347999], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.709377, 0.290038, 0.9589710000000002], + "xyz": [3.8361405655200005, 1.597363692302, 7.378334381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.2906230000000001, 0.709962, 0.45897100000000024], + "xyz": [1.571619434480001, 3.910065307698, 3.5313283816520022], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.2906230000000001, 0.709962, 0.04102899999999976], + "xyz": [1.571619434480001, 3.910065307698, 0.31567761834799846], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.709377, 0.290038, 0.5410289999999998], + "xyz": [3.8361405655200005, 1.597363692302, 4.162683618347998], + "label": "O2-", + "properties": {} + } + ] +} diff --git a/smact/tests/files/Fe3O4.json b/smact/tests/files/Fe3O4.json index 31dbd628..20e453ca 100644 --- a/smact/tests/files/Fe3O4.json +++ b/smact/tests/files/Fe3O4.json @@ -1 +1,316 @@ -{"@module": "pymatgen.core.structure", "@class": "Structure", "charge": 0, "lattice": {"matrix": [[3.02352510004715, -5.236899091241436, 0.0], [3.02352510004715, 5.236899091241436, 0.0], [0.0, 0.0, 14.716012023663136]], "pbc": [true, true, true], "a": 6.0470502000943, "b": 6.0470502000943, "c": 14.716012023663136, "alpha": 90.0, "beta": 90.0, "gamma": 119.99999999999999, "volume": 466.02360338422886}, "sites": [{"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.6666666666666666, 0.3333333333333333, 0.4594153333333334], "xyz": [3.0235251000471495, -1.745633030413812, 6.760761569188542], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.6666666666666667, 0.3333333333333333, 0.20725133333333323], "xyz": [3.02352510004715, -1.7456330304138123, 3.0499131132535484], "label": "Fe2+", "properties": {}}, {"species": 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"oxidation_state": -2, "occu": 1 }], + "abc": [0.04034414, 0.95901677, 0.74970521], + "xyz": [0.3639626068560765, 7.378686757155097, 5.789218462878553], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.04034414, 0.54098323, 0.74970521], + "xyz": [0.3639626068560765, 4.162331587844903, 5.789218462878553], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.95965586, 0.04098323, 0.25029479], + "xyz": [7.424394483143924, 0.3153254728449029, 1.9997850771214472], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.76694203, 0.75, 0.27598599], + "xyz": [5.938787271848143, 5.770509172500001, 2.184426135563748], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.23305797, 0.25, 0.72401401], + "xyz": [1.849569818151858, 1.9235030575, 5.604577404436252], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.77592675, 0.75, 0.76689705], + "xyz": [6.042561344869289, 5.770509172500001, 5.974003334886483], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.22407325, 0.25, 0.23310295], + "xyz": [1.7457957451307116, 1.9235030575, 1.815000205113517], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.27604488, 0.75, 0.26688409], + "xyz": [2.149293645049691, 5.770509172500001, 2.079409903401527], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.72395512, 0.25, 0.73311591], + "xyz": [5.63906344495031, 1.9235030575, 5.709593636598473], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.26683905, 0.75, 0.77598017], + "xyz": [2.1139442657406273, 5.770509172500001, 6.0080541125384315], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.73316095, 0.25, 0.22401983], + "xyz": [5.674412824259374, 1.9235030575, 1.7809494274615678], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.5, 0.5], + "xyz": [3.894178545, 3.847006115, 3.8945017699999998], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.5], + "xyz": [3.894178545, 0.0, 3.8945017699999998], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.5], + "xyz": [0.035065385, 3.847006115, 3.85909098], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.0, 0.5], + "xyz": [0.035065385, 0.0, 3.85909098], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.5, 0.0], + "xyz": [3.85911316, 3.847006115, 0.03541079], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.0], + "xyz": [3.85911316, 0.0, 0.03541079], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.0], + "xyz": [0.0, 3.847006115, 0.0], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.0, 0.0], + "xyz": [0.0, 0.0, 0.0], + "label": "Ti4+", + "properties": {} + } + ] +} diff --git a/smact/tests/files/test_lambda_tab.json b/smact/tests/files/test_lambda_tab.json index 4bcc1dea..ac03a7e8 100644 --- a/smact/tests/files/test_lambda_tab.json +++ b/smact/tests/files/test_lambda_tab.json @@ -1 +1,5 @@ -[["A", "B", 0.5], ["B", "A", 0.5], ["B", "C", 0.3]] \ No newline at end of file +[ + ["A", "B", 0.5], + ["B", "A", 0.5], + ["B", "C", 0.3] +] diff --git a/smact/tests/test_core.py b/smact/tests/test_core.py index a30b4f28..6fd38acd 100755 --- a/smact/tests/test_core.py +++ b/smact/tests/test_core.py @@ -1,8 +1,10 @@ #!/usr/bin/env python +from __future__ import annotations import os import unittest +import pytest from pymatgen.core import Structure from pymatgen.core.periodic_table import Specie @@ -14,7 +16,11 @@ import smact.screening from smact import Species from smact.builder import wurtzite -from smact.properties import band_gap_Harrison, compound_electroneg +from smact.properties import ( + band_gap_Harrison, + compound_electroneg, + valence_electron_count, +) files_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "files") TEST_OX_STATES = os.path.join(files_dir, "test_oxidation_states.txt") @@ -34,9 +40,7 @@ def test_Element_class_Pt(self): self.assertEqual(Pt.dipol, 44.00) def test_ordered_elements(self): - self.assertEqual( - smact.ordered_elements(65, 68), ["Tb", "Dy", "Ho", "Er"] - ) + self.assertEqual(smact.ordered_elements(65, 68), ["Tb", "Dy", "Ho", "Er"]) self.assertEqual(smact.ordered_elements(52, 52), ["Te"]) def test_element_dictionary(self): @@ -49,11 +53,7 @@ def test_element_dictionary(self): self.assertTrue("Rn" in smact.element_dictionary()) def test_are_eq(self): - self.assertTrue( - smact.are_eq( - [1.00, 2.00, 3.00], [1.001, 1.999, 3.00], tolerance=1e-2 - ) - ) + self.assertTrue(smact.are_eq([1.00, 2.00, 3.00], [1.001, 1.999, 3.00], tolerance=1e-2)) self.assertFalse(smact.are_eq([1.00, 2.00, 3.00], [1.001, 1.999, 3.00])) def test_gcd_recursive(self): @@ -75,9 +75,7 @@ def test_neutral_ratios(self): def test_compound_eneg_brass(self): self.assertAlmostEqual( - compound_electroneg( - elements=["Cu", "Zn"], stoichs=[0.5, 0.5], source="Pauling" - ), + compound_electroneg(elements=["Cu", "Zn"], stoichs=[0.5, 0.5], source="Pauling"), 5.0638963259, ) @@ -87,6 +85,24 @@ def test_harrison_gap_MgCl(self): 3.545075110572662, ) + def test_valence_electron_count(self): + # Test valid compounds + self.assertAlmostEqual(valence_electron_count("Fe2O3"), 6.8, places=2) + self.assertAlmostEqual(valence_electron_count("CuZn"), 11.5, places=2) + + # Test single element + self.assertEqual(valence_electron_count("Fe"), 8) + + # Test empty string + self.assertEqual(valence_electron_count(""), 0.0) + + # Test invalid elements and formats + with pytest.raises(ValueError): + valence_electron_count("Xx2O3") # Xx is not a real element + + with pytest.raises(ValueError): + valence_electron_count("LrO") + # ---------------- BUILDER ---------------- def test_builder_ZnS(self): @@ -104,11 +120,7 @@ def test_pauling_test(self): (Sn.pauling_eneg, S.pauling_eneg), ) ) - self.assertFalse( - smact.screening.pauling_test( - (-2, +2), (Sn.pauling_eneg, S.pauling_eneg) - ) - ) + self.assertFalse(smact.screening.pauling_test((-2, +2), (Sn.pauling_eneg, S.pauling_eneg))) self.assertFalse( smact.screening.pauling_test( (-2, -2, +2), @@ -194,40 +206,24 @@ def test_pauling_test_old(self): def test_eneg_states_test(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) self.assertTrue( - smact.screening.eneg_states_test( - [1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test([1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) self.assertFalse( - smact.screening.eneg_states_test( - [-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test([-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) def test_eneg_states_test_alternate(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) self.assertTrue( - smact.screening.eneg_states_test_alternate( - [1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test_alternate([1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) self.assertFalse( - smact.screening.eneg_states_test_alternate( - [-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test_alternate([-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) def test_eneg_states_test_threshold(self): - self.assertFalse( - smact.screening.eneg_states_test_threshold( - [1, -1], [1.83, 1.82], threshold=0 - ) - ) - self.assertTrue( - smact.screening.eneg_states_test_threshold( - [1, -1], [1.83, 1.82], threshold=0.1 - ) - ) + self.assertFalse(smact.screening.eneg_states_test_threshold([1, -1], [1.83, 1.82], threshold=0)) + self.assertTrue(smact.screening.eneg_states_test_threshold([1, -1], [1.83, 1.82], threshold=0.1)) def test_ml_rep_generator(self): Pb, O = (smact.Element(label) for label in ("Pb", "O")) @@ -335,12 +331,8 @@ def test_ml_rep_generator(self): 0.0, 0.0, ] - self.assertEqual( - smact.screening.ml_rep_generator(["Pb", "O"], [1, 2]), PbO2_ml - ) - self.assertEqual( - smact.screening.ml_rep_generator([Pb, O], [1, 2]), PbO2_ml - ) + self.assertEqual(smact.screening.ml_rep_generator(["Pb", "O"], [1, 2]), PbO2_ml) + self.assertEqual(smact.screening.ml_rep_generator([Pb, O], [1, 2]), PbO2_ml) def test_smact_filter(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) @@ -354,39 +346,20 @@ def test_smact_filter(self): ) self.assertEqual( result, - smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, oxidation_states_set=TEST_OX_STATES - ), - ) - result_comp_tuple = smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, comp_tuple=True - ) - self.assertTupleEqual( - result_comp_tuple[0].element_symbols, ("Na", "Fe", "Cl") - ) - self.assertTupleEqual(result_comp_tuple[0].stoichiometries, (2, 1, 1)) - self.assertTupleEqual( - result_comp_tuple[0].oxidation_states, (1, -1, -1) + smact.screening.smact_filter([Na, Fe, Cl], threshold=2, oxidation_states_set=TEST_OX_STATES), ) + self.assertEqual( - set( - smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, species_unique=False - ) - ), + set(smact.screening.smact_filter([Na, Fe, Cl], threshold=2, species_unique=False)), { (("Na", "Fe", "Cl"), (2, 1, 1)), (("Na", "Fe", "Cl"), (1, 1, 2)), }, ) - self.assertEqual( - len(smact.screening.smact_filter([Na, Fe, Cl], threshold=8)), 77 - ) + self.assertEqual(len(smact.screening.smact_filter([Na, Fe, Cl], threshold=8)), 77) - result = smact.screening.smact_filter( - [Na, Fe, Cl], stoichs=[[1], [1], [4]] - ) + result = smact.screening.smact_filter([Na, Fe, Cl], stoichs=[[1], [1], [4]]) self.assertEqual( [(r[0], r[1], r[2]) for r in result], [ @@ -402,33 +375,17 @@ def test_smact_filter(self): def test_smact_validity(self): self.assertTrue(smact.screening.smact_validity("NaCl")) self.assertTrue(smact.screening.smact_validity("Na10Cl10")) - self.assertFalse( - smact.screening.smact_validity("Al3Li", include_alloys=False) - ) - self.assertTrue( - smact.screening.smact_validity("Al3Li", include_alloys=True) - ) + self.assertFalse(smact.screening.smact_validity("Al3Li", include_alloys=False)) + self.assertTrue(smact.screening.smact_validity("Al3Li", include_alloys=True)) # Test for single element self.assertTrue(smact.screening.smact_validity("Al")) # Test for MgB2 which is invalid for the default oxi states but valid for the icsd states self.assertFalse(smact.screening.smact_validity("MgB2")) - self.assertTrue( - smact.screening.smact_validity("MgB2", oxidation_states_set="icsd") - ) - self.assertFalse( - smact.screening.smact_validity( - "MgB2", oxidation_states_set="pymatgen" - ) - ) - self.assertTrue( - smact.screening.smact_validity("MgB2", oxidation_states_set="wiki") - ) - self.assertFalse( - smact.screening.smact_validity( - "MgB2", oxidation_states_set=TEST_OX_STATES - ) - ) + self.assertTrue(smact.screening.smact_validity("MgB2", oxidation_states_set="icsd")) + self.assertFalse(smact.screening.smact_validity("MgB2", oxidation_states_set="pymatgen")) + self.assertTrue(smact.screening.smact_validity("MgB2", oxidation_states_set="wiki")) + self.assertFalse(smact.screening.smact_validity("MgB2", oxidation_states_set=TEST_OX_STATES)) # ---------------- Lattice ---------------- def test_Lattice_class(self): @@ -440,9 +397,7 @@ def test_Lattice_class(self): # ---------- Lattice parameters ----------- def test_lattice_parameters(self): - perovskite = smact.lattice_parameters.cubic_perovskite( - [1.81, 1.33, 1.82] - ) + perovskite = smact.lattice_parameters.cubic_perovskite([1.81, 1.33, 1.82]) wurtz = smact.lattice_parameters.wurtzite([1.81, 1.33]) self.assertAlmostEqual(perovskite[0], 6.3) self.assertAlmostEqual(perovskite[1], 6.3) diff --git a/smact/tests/test_doper.py b/smact/tests/test_doper.py index 79fd7446..12556980 100644 --- a/smact/tests/test_doper.py +++ b/smact/tests/test_doper.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import os import unittest -import smact +import pytest + from smact.dopant_prediction import doper -from smact.structure_prediction import mutation, utilities +from smact.structure_prediction import utilities files_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "files") TEST_LAMBDA_JSON = os.path.join(files_dir, "test_lambda_tab.json") @@ -11,16 +14,11 @@ class DopantPredictionTest(unittest.TestCase): def test_dopant_prediction(self): - num_dopants = 10 test_specie = ("Cu+", "Ga3+", "S2-") test = doper.Doper(test_specie) - cation_max_charge = max( - test_specie, key=lambda x: utilities.parse_spec(x)[1] - ) - anion_min_charge = min( - test_specie, key=lambda x: utilities.parse_spec(x)[1] - ) + cation_max_charge = max(test_specie, key=lambda x: utilities.parse_spec(x)[1]) + anion_min_charge = min(test_specie, key=lambda x: utilities.parse_spec(x)[1]) _, cat_charge = utilities.parse_spec(cation_max_charge) _, an_charge = utilities.parse_spec(anion_min_charge) @@ -48,17 +46,13 @@ def test_dopant_prediction(self): def test_dopant_prediction_skipspecies(self): test_specie = ("Cu+", "Ga3+", "S2-") - with self.assertRaises(ValueError): - doper.Doper( - test_specie, filepath=TEST_LAMBDA_JSON, embedding="skipspecies" - ) + with pytest.raises(ValueError): + doper.Doper(test_specie, filepath=TEST_LAMBDA_JSON, embedding="skipspecies") - with self.assertRaises(ValueError): + with pytest.raises(ValueError): doper.Doper(test_specie, embedding="skip", use_probability=False) - test = doper.Doper( - test_specie, embedding="skipspecies", use_probability=False - ) + test = doper.Doper(test_specie, embedding="skipspecies", use_probability=False) result = test.get_dopants() n_sub_list_cat = result.get("n-type cation substitutions").get("sorted") diff --git a/smact/tests/test_structure.py b/smact/tests/test_structure.py index d92253bc..c021c9ef 100644 --- a/smact/tests/test_structure.py +++ b/smact/tests/test_structure.py @@ -1,4 +1,6 @@ -"""Test structure prediction module""" +"""Test structure prediction module.""" + +from __future__ import annotations import itertools import json @@ -9,10 +11,12 @@ from contextlib import contextmanager from operator import itemgetter from random import sample +from typing import ClassVar import numpy as np import pandas as pd import pymatgen +import pytest from pandas.testing import assert_frame_equal, assert_series_equal from pymatgen.analysis.structure_prediction.substitution_probability import ( SubstitutionProbability, @@ -61,16 +65,15 @@ def ignore_warnings(logger: logging.Logger) -> int: class StructureTest(unittest.TestCase): """`SmactStructure` testing.""" - TEST_SPECIES = { + TEST_SPECIES: ClassVar = { "CaTiO3": [("Ca", 2, 1), ("Ti", 4, 1), ("O", -2, 3)], "NaCl": [("Na", 1, 1), ("Cl", -1, 1)], "Fe": [("Fe", 0, 1)], } - def assertStructAlmostEqual( - self, s1: SmactStructure, s2: SmactStructure, places: int = 7 - ): - """Assert that two SmactStructures are almost equal. + def assertStructAlmostEqual(self, s1: SmactStructure, s2: SmactStructure, places: int = 7): + """ + Assert that two SmactStructures are almost equal. Almost equality dependent on how many decimal places the site coordinates are equal to. @@ -88,7 +91,7 @@ def assertStructAlmostEqual( def test_as_poscar(self): """Test POSCAR generation.""" - for comp in self.TEST_SPECIES.keys(): + for comp in self.TEST_SPECIES: with self.subTest(comp=comp): comp_file = os.path.join(files_dir, f"{comp}.txt") with open(comp_file) as f: @@ -142,9 +145,7 @@ def test_from_py_struct_icsd(self): py_structure = pymatgen.core.Structure.from_dict(d) with ignore_warnings(smact.structure_prediction.logger): - s1 = SmactStructure.from_py_struct( - py_structure, determine_oxi="comp_ICSD" - ) + s1 = SmactStructure.from_py_struct(py_structure, determine_oxi="comp_ICSD") s2 = SmactStructure.from_file(os.path.join(files_dir, "CaTiO3.txt")) @@ -152,11 +153,7 @@ def test_from_py_struct_icsd(self): def test_has_species(self): """Test determining whether a species is in a `SmactStructure`.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) self.assertTrue(s1.has_species(("Ba", 2))) self.assertFalse(s1.has_species(("Ba", 3))) @@ -164,16 +161,8 @@ def test_has_species(self): def test_smactStruc_comp_key(self): """Test generation of a composition key for `SmactStructure`s.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) - s2 = SmactStructure( - *self._gen_empty_structure( - [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) + s2 = SmactStructure(*self._gen_empty_structure([("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)])) Ba = Species("Ba", 2) O = Species("O", -2) @@ -181,12 +170,8 @@ def test_smactStruc_comp_key(self): Fe2 = Species("Fe", 2) Fe3 = Species("Fe", 3) - s3 = SmactStructure( - *self._gen_empty_structure([(Ba, 2), (O, 1), (F, 2)]) - ) - s4 = SmactStructure( - *self._gen_empty_structure([(Fe2, 1), (Fe3, 2), (O, 4)]) - ) + s3 = SmactStructure(*self._gen_empty_structure([(Ba, 2), (O, 1), (F, 2)])) + s4 = SmactStructure(*self._gen_empty_structure([(Fe2, 1), (Fe3, 2), (O, 4)])) Ba_2OF_2 = "Ba_2_2+F_2_1-O_1_2-" Fe_3O_4 = "Fe_2_3+Fe_1_2+O_4_2-" @@ -206,9 +191,7 @@ def test_smactStruc_from_file(self): def test_equality(self): """Test equality determination of `SmactStructure`.""" - struct_files = [ - os.path.join(files_dir, f"{x}.txt") for x in ["CaTiO3", "NaCl"] - ] + struct_files = [os.path.join(files_dir, f"{x}.txt") for x in ["CaTiO3", "NaCl"]] CaTiO3 = SmactStructure.from_file(struct_files[0]) NaCl = SmactStructure.from_file(struct_files[1]) @@ -223,28 +206,16 @@ def test_equality(self): def test_ele_stoics(self): """Test acquiring element stoichiometries.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)])) s1_stoics = {"Fe": 3, "O": 4} - s2 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) + s2 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) s2_stoics = {"Ba": 2, "O": 1, "F": 2} for test, expected in [(s1, s1_stoics), (s2, s2_stoics)]: with self.subTest(species=test.species): - self.assertEqual( - SmactStructure._get_ele_stoics(test.species), expected - ) + self.assertEqual(SmactStructure._get_ele_stoics(test.species), expected) - @unittest.skipUnless( - os.environ.get("MPI_KEY"), "requires MPI key to be set." - ) + @unittest.skipUnless(os.environ.get("MPI_KEY"), "requires MPI key to be set.") def test_from_mp(self): """Test downloading structures from materialsproject.org.""" # TODO Needs ensuring that the structure query gets the same @@ -294,15 +265,11 @@ def test_db_interface(self): self.fail(e) with self.subTest(msg="Getting structure from table."): - struct_list = self.db.get_structs( - struct.composition(), self.TEST_TABLE - ) + struct_list = self.db.get_structs(struct.composition(), self.TEST_TABLE) self.assertEqual(len(struct_list), 1) self.assertEqual(struct_list[0], struct) - struct_files = [ - os.path.join(files_dir, f"{x}.txt") for x in ["NaCl", "Fe"] - ] + struct_files = [os.path.join(files_dir, f"{x}.txt") for x in ["NaCl", "Fe"]] structs = [SmactStructure.from_file(fname) for fname in struct_files] with self.subTest(msg="Adding multiple structures to table."): @@ -333,21 +300,16 @@ def test_db_interface(self): [struct], ] - for spec, expected in zip( - test_with_species_args, test_with_species_exp - ): + for spec, expected in zip(test_with_species_args, test_with_species_exp): with self.subTest(msg=f"Retrieving species with {spec}"): - self.assertEqual( - self.db.get_with_species(spec, self.TEST_TABLE), expected - ) + self.assertEqual(self.db.get_with_species(spec, self.TEST_TABLE), expected) mp_strucs = [ pymatgen.core.Structure.from_file(os.path.join(files_dir, f)) for f in ["CaTiO3.json", "NaCl.json", "Fe3O4.json"] ] mp_data = [ - {"material_id": mpid, "structure": s} - for mpid, s in zip(["mp-4019", "mp-22862", "mp-19306"], mp_strucs) + {"material_id": mpid, "structure": s} for mpid, s in zip(["mp-4019", "mp-22862", "mp-19306"], mp_strucs) ] with self.subTest(msg="Testing adding downloaded MP structures."): @@ -364,15 +326,11 @@ def setUpClass(cls): cls.test_struct = SmactStructure.from_file(TEST_POSCAR) cls.test_mutator = CationMutator.from_json(lambda_json=TEST_LAMBDA_JSON) - cls.test_pymatgen_mutator = CationMutator.from_json( - lambda_json=None, alpha=lambda x, y: -5 - ) + cls.test_pymatgen_mutator = CationMutator.from_json(lambda_json=None, alpha=lambda x, y: -5) # 5 random test species -> 5! test pairs cls.test_species = sample(list(cls.test_pymatgen_mutator.specs), 5) - cls.test_pairs = list( - itertools.combinations_with_replacement(cls.test_species, 2) - ) + cls.test_pairs = list(itertools.combinations_with_replacement(cls.test_species, 2)) cls.pymatgen_sp = SubstitutionProbability(lambda_table=None, alpha=-5) @@ -400,16 +358,11 @@ def test_partition_func_Z(self): def test_pymatgen_lambda_import(self): """Test importing pymatgen lambda table.""" - self.assertIsInstance( - self.test_pymatgen_mutator.lambda_tab, pd.DataFrame - ) + self.assertIsInstance(self.test_pymatgen_mutator.lambda_tab, pd.DataFrame) def test_lambda_interface(self): """Test getting lambda values.""" - test_cases = [ - itertools.permutations(x) - for x in [("A", "B"), ("A", "C"), ("B", "C")] - ] + test_cases = [itertools.permutations(x) for x in [("A", "B"), ("A", "C"), ("B", "C")]] expected = [0.5, -5.0, 0.3] @@ -417,9 +370,7 @@ def test_lambda_interface(self): for spec_comb in test_case: s1, s2 = spec_comb with self.subTest(s1=s1, s2=s2): - self.assertEqual( - self.test_mutator.get_lambda(s1, s2), expectation - ) + self.assertEqual(self.test_mutator.get_lambda(s1, s2), expectation) def test_ion_mutation(self): """Test mutating an ion of a SmactStructure.""" @@ -430,17 +381,14 @@ def test_ion_mutation(self): BaTiO3 = SmactStructure.from_file(ba_file) with self.subTest(s1="CaTiO3", s2="BaTiO3"): - mutation = self.test_mutator._mutate_structure( - CaTiO3, "Ca2+", "Ba2+" - ) + mutation = self.test_mutator._mutate_structure(CaTiO3, "Ca2+", "Ba2+") self.assertEqual(mutation, BaTiO3) na_file = os.path.join(files_dir, "NaCl.txt") NaCl = SmactStructure.from_file(na_file) - with self.subTest(s1="Na1+Cl1-", s2="Na2+Cl1-"): - with self.assertRaises(ValueError): - self.test_mutator._mutate_structure(NaCl, "Na1+", "Na2+") + with self.subTest(s1="Na1+Cl1-", s2="Na2+Cl1-"), pytest.raises(ValueError): + self.test_mutator._mutate_structure(NaCl, "Na1+", "Na2+") # TODO Confirm functionality with more complex substitutions @@ -459,15 +407,10 @@ def test_cond_sub_probs(self): with self.subTest(s=s1): cond_sub_probs_test = self.test_mutator.cond_sub_probs(s1) - vals = [ - (s1, s2, self.test_mutator.cond_sub_prob(s1, s2)) - for s2 in ["A", "B", "C"] - ] + vals = [(s1, s2, self.test_mutator.cond_sub_prob(s1, s2)) for s2 in ["A", "B", "C"]] test_df = pd.DataFrame(vals) - test_df: pd.DataFrame = test_df.pivot( - index=0, columns=1, values=2 - ) + test_df: pd.DataFrame = test_df.pivot_table(index=0, columns=1, values=2) # Slice to convert to series assert_series_equal(cond_sub_probs_test, test_df.iloc[0]) @@ -515,7 +458,7 @@ def test_complete_cond_probs(self): ] cond_probs = pd.DataFrame(vals) - cond_probs = cond_probs.pivot(index=0, columns=1, values=2) + cond_probs = cond_probs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_cond_probs(), cond_probs) @@ -533,7 +476,7 @@ def test_complete_sub_probs(self): ] sub_probs = pd.DataFrame(vals) - sub_probs = sub_probs.pivot(index=0, columns=1, values=2) + sub_probs = sub_probs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_sub_probs(), sub_probs) @@ -551,7 +494,7 @@ def test_complete_pair_corrs(self): ] pair_corrs = pd.DataFrame(vals) - pair_corrs = pair_corrs.pivot(index=0, columns=1, values=2) + pair_corrs = pair_corrs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_pair_corrs(), pair_corrs) @@ -584,11 +527,7 @@ def test_prediction(self): with self.subTest(msg="Acquiring predictions"): try: - predictions = list( - sp.predict_structs( - test_specs, thresh=0.02, include_same=False - ) - ) + predictions = list(sp.predict_structs(test_specs, thresh=0.02, include_same=False)) except Exception as e: self.fail(e) diff --git a/smact/tests/test_utils.py b/smact/tests/test_utils.py index 1264005f..70e83a91 100644 --- a/smact/tests/test_utils.py +++ b/smact/tests/test_utils.py @@ -1,8 +1,98 @@ + +from __future__ import annotations + import os import unittest -import pandas as pd -import pytest +from pymatgen.core import Composition + +from smact import Element +from smact.screening import smact_filter +from smact.utils.composition import comp_maker, formula_maker, parse_formula +from smact.utils.crystal_space import generate_composition_with_smact + + +class TestComposition(unittest.TestCase): + """Test composition utilities""" + + def setUp(self) -> None: + self.mock_filter_output = [ + (("Fe", "O"), (2, -2), (1, 1)), + (("Fe", "O"), (1, 1)), + (("Fe", "Fe", "O"), (2, 3, -2), (1, 2, 4)), + ] + self.smact_filter_output = smact_filter( + els=[Element("Li"), Element("Ge"), Element("P"), Element("S")], + stoichs=[[10], [1], [2], [12]], + ) + + def test_parse_formula(self): + """Test the parse_formula function""" + + formulas = ["Li10GeP2S12", "Mg0.5O0.5", "CaMg(CO3)2"] + + LGPS = parse_formula(formulas[0]) + self.assertIsInstance(LGPS, dict) + for el_sym, ammt in LGPS.items(): + self.assertIsInstance(el_sym, str) + self.assertIsInstance(ammt, float) + self.assertEqual(LGPS["Li"], 10) + self.assertEqual(LGPS["Ge"], 1) + self.assertEqual(LGPS["P"], 2) + self.assertEqual(LGPS["S"], 12) + + MgO = parse_formula(formulas[1]) + self.assertIsInstance(MgO, dict) + self.assertEqual(MgO["Mg"], 0.5) + self.assertEqual(MgO["O"], 0.5) + + dolomite = parse_formula(formulas[2]) + self.assertIsInstance(dolomite, dict) + self.assertEqual(dolomite["Ca"], 1) + self.assertEqual(dolomite["Mg"], 1) + self.assertEqual(dolomite["C"], 2) + self.assertEqual(dolomite["O"], 6) + + def test_comp_maker(self): + """Test the comp_maker function""" + comp1 = comp_maker(self.mock_filter_output[0]) + comp2 = comp_maker(self.mock_filter_output[1]) + comp3 = comp_maker(self.mock_filter_output[2]) + comp4 = comp_maker(self.smact_filter_output[1]) + for comp in [comp1, comp2, comp3, comp4]: + self.assertIsInstance(comp, Composition) + self.assertEqual(Composition("FeO"), comp2) + self.assertEqual(Composition({"Fe2+": 1, "O2-": 1}), comp1) + self.assertEqual(Composition({"Fe2+": 1, "Fe3+": 2, "O2-": 4}), comp3) + self.assertEqual(Composition({"Li+": 10, "Ge4+": 1, "P5+": 2, "S2-": 12}), comp4) + + def test_formula_maker(self): + """Test the formula_maker function""" + form1 = formula_maker(self.mock_filter_output[0]) + form2 = formula_maker(self.mock_filter_output[1]) + form3 = formula_maker(self.mock_filter_output[2]) + form4 = formula_maker(self.smact_filter_output[1]) + self.assertEqual(form1, "FeO") + self.assertEqual(form2, "FeO") + self.assertEqual(form1, form2) + self.assertEqual(form3, "Fe3O4") + self.assertEqual(form4, "Li10Ge(PS6)2") + + +class TestCrystalSpace(unittest.TestCase): + """Test utility functions associated with Crystal Space.""" + + def test_convert_formula(self): + combinations = [Element("Li"), Element("O")] + expected_formulas = ["Li2O2", "LiO2", "Li2O", "Li2O2"] + compounds = generate_composition_with_smact.convert_formula( + combinations=combinations, num_elements=2, max_stoich=2 + ) + self.assertListEqual(expected_formulas, compounds) + + @unittest.skipUnless(os.environ.get("MP_API_KEY"), "requires MP_API key to be set.") + def test_download_compounds_with_mp_api(self): + pass from smact.utils.oxidation import ICSD24OxStatesFilter diff --git a/smact/utils/__init__.py b/smact/utils/__init__.py new file mode 100644 index 00000000..bdf9739d --- /dev/null +++ b/smact/utils/__init__.py @@ -0,0 +1 @@ +"""Utility functions for SMACT.""" diff --git a/examples/Simple_wrappers/band_gap_simple.py b/smact/utils/band_gap_simple.py similarity index 71% rename from examples/Simple_wrappers/band_gap_simple.py rename to smact/utils/band_gap_simple.py index 28921865..0c5ca696 100644 --- a/examples/Simple_wrappers/band_gap_simple.py +++ b/smact/utils/band_gap_simple.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python +"""Band gap simple.""" ############################################################################### # Copyright Daniel Davies, Adam J. Jackson (2013) # @@ -15,27 +15,18 @@ # this program. If not, see . # # # ############################################################################### +from __future__ import annotations from smact.properties import band_gap_Harrison if __name__ == "__main__": import argparse - parser = argparse.ArgumentParser( - description="Compound band gap estimates from elemental data." - ) - parser.add_argument( - "-a", "--anion", type=str, help="Element symbol for anion." - ) - parser.add_argument( - "-c", "--cation", type=str, help="Element symbol for cation." - ) - parser.add_argument( - "-d", "--distance", type=float, help="Internuclear separation." - ) - parser.add_argument( - "-v", "--verbose", action="store_true", help="More Verbose output." - ) + parser = argparse.ArgumentParser(description="Compound band gap estimates from elemental data.") + parser.add_argument("-a", "--anion", type=str, help="Element symbol for anion.") + parser.add_argument("-c", "--cation", type=str, help="Element symbol for cation.") + parser.add_argument("-d", "--distance", type=float, help="Internuclear separation.") + parser.add_argument("-v", "--verbose", action="store_true", help="More Verbose output.") args = parser.parse_args() print( diff --git a/smact/utils/composition.py b/smact/utils/composition.py new file mode 100644 index 00000000..bb7da68a --- /dev/null +++ b/smact/utils/composition.py @@ -0,0 +1,92 @@ +"""Utility functioms for handling elements, species, formulas and composition.""" + +from __future__ import annotations + +import re +from collections import defaultdict + +from pymatgen.core import Composition + +from smact.structure_prediction.utilities import unparse_spec + + +# Adapted from ElementEmbeddings and Pymatgen +def parse_formula(formula: str) -> dict[str, float]: + """Parse a chemical formula into a dictionary of elements and their amounts. + + Args: + formula (str): Chemical formula + + Returns: + dict: Dictionary of element symbol: amount + """ + regex = r"\(([^\(\)]+)\)\s*([\.e\d]*)" + r = re.compile(regex) + m = re.search(r, formula) + if m: + factor = 1.0 + if m.group(2) != "": + factor = float(m.group(2)) + unit_sym_dict = _get_sym_dict(m.group(1), factor) + expanded_sym = "".join([f"{el}{amt}" for el, amt in unit_sym_dict.items()]) + expanded_formula = formula.replace(m.group(), expanded_sym) + return parse_formula(expanded_formula) + return _get_sym_dict(formula, 1) + + +def _get_sym_dict(formula: str, factor: float) -> dict[str, float]: + sym_dict: dict[str, float] = defaultdict(float) + regex = r"([A-Z][a-z]*)\s*([-*\.e\d]*)" + r = re.compile(regex) + for m in re.finditer(r, formula): + el = m.group(1) + amt = 1.0 + if m.group(2).strip() != "": + amt = float(m.group(2)) + sym_dict[el] += amt * factor + formula = formula.replace(m.group(), "", 1) + if formula.strip(): + msg = f"{formula} is an invalid formula" + raise ValueError(msg) + + return sym_dict + + +def comp_maker(smact_filter_output: tuple[str, int, int] | tuple[str, int]) -> Composition: + """Convert an item in the output of smact.screening.smact_filer into a Pymatgen Composition. + + Args: + smact_filter_output (tuple[str, int, int]|tuple[str, int]): An item in the list returned from smact_filter + + Returns: + composition (pymatgen.core.Composition): An instance of the Composition class + """ + if len(smact_filter_output) == 2: + form = [] + for el, ammt in zip(smact_filter_output[0], smact_filter_output[-1]): + form.append(el) + form.append(ammt) + form = "".join(str(e) for e in form) + else: + form = { + unparse_spec((el, ox)): ammt + for el, ox, ammt in zip( + smact_filter_output[0], + smact_filter_output[1], + smact_filter_output[2], + ) + } + return Composition(form) + + +def formula_maker(smact_filter_output: tuple[str, int, int] | tuple[str, int]) -> str: + """Convert an item in the output of smact.screening.smact_filter into a chemical formula. + + Args: + smact_filter_output (tuple[str, int, int]|tuple[str, int]): An item in the list returned from smact_filter + + Returns: + formula (str): A formula + + """ + return comp_maker(smact_filter_output).reduced_formula diff --git a/smact/utils/crystal_space/__init__.py b/smact/utils/crystal_space/__init__.py new file mode 100644 index 00000000..2c9865cf --- /dev/null +++ b/smact/utils/crystal_space/__init__.py @@ -0,0 +1 @@ +"""Utility functions associated with 'Mapping Inorganic Crystal Space' using SMACT.""" diff --git a/examples/Crystal_Space/download_compounds_with_mp_api.py b/smact/utils/crystal_space/download_compounds_with_mp_api.py similarity index 83% rename from examples/Crystal_Space/download_compounds_with_mp_api.py rename to smact/utils/crystal_space/download_compounds_with_mp_api.py index 54b5b0e5..1e93e57e 100644 --- a/examples/Crystal_Space/download_compounds_with_mp_api.py +++ b/smact/utils/crystal_space/download_compounds_with_mp_api.py @@ -1,3 +1,7 @@ +"""Utility functions for downloading compounds from the Materials Project.""" + +from __future__ import annotations + import itertools import json import string @@ -11,7 +15,7 @@ def download_mp_data( - mp_api_key: str = None, + mp_api_key: str | None = None, num_elements: int = 2, max_stoich: int = 8, save_dir: str = "data/binary/mp_api", @@ -24,6 +28,7 @@ def download_mp_data( The data is saved to a specified directory. Args: + ---- mp_api_key (str, optional): the API key for Materials Project. num_elements (int, optional): the number of elements in each compound to consider. Defaults to 2. @@ -35,13 +40,13 @@ def download_mp_data( Defaults to 1. Returns: + ------- None + """ # check if MP_API_KEY is set if mp_api_key is None: - raise ValueError( - "Please set your MP_API_KEY in the environment variable." - ) + raise ValueError("Please set your MP_API_KEY in the environment variable.") # set save directory save_dir = Path(save_dir) save_dir.mkdir(parents=True, exist_ok=True) @@ -49,9 +54,7 @@ def download_mp_data( # make a list for all possible combinartions of formula anonymous symbols = string.ascii_uppercase formula_anonymous_list = [] - for stoichs in itertools.combinations_with_replacement( - range(1, max_stoich + 1), num_elements - ): + for stoichs in itertools.combinations_with_replacement(range(1, max_stoich + 1), num_elements): formula_dict = {symbols[i]: stoich for i, stoich in enumerate(stoichs)} formula_anonymous_list.append(Composition(formula_dict).reduced_formula) formula_anonymous_list = sorted(set(formula_anonymous_list)) @@ -59,7 +62,8 @@ def download_mp_data( e_hull_dict = defaultdict(lambda: float("inf")) for formula_anonymous in tqdm(formula_anonymous_list): - # donwload data from MP + print(f"Downloading data for {formula_anonymous}...") + # download data from MP with MPRester(mp_api_key) as mpr: docs = mpr.materials.summary.search( formula=formula_anonymous, @@ -87,8 +91,6 @@ def download_mp_data( if (energy_above_hull) < e_hull_dict[formula_pretty]: e_hull_dict[formula_pretty] = energy_above_hull - - json.dump( - doc.dict(), open(save_dir / f"{formula_pretty}.json", "w") - ) + with open(save_dir / f"{formula_pretty}.json", "w") as f: + json.dump(doc.dict(), f) time.sleep(request_interval) diff --git a/examples/Crystal_Space/generate_composition_with_smact.py b/smact/utils/crystal_space/generate_composition_with_smact.py similarity index 70% rename from examples/Crystal_Space/generate_composition_with_smact.py rename to smact/utils/crystal_space/generate_composition_with_smact.py index 55449d2b..6478b1f4 100644 --- a/examples/Crystal_Space/generate_composition_with_smact.py +++ b/smact/utils/crystal_space/generate_composition_with_smact.py @@ -1,3 +1,7 @@ +"""Utility functions for SMACT generation of compositions.""" + +from __future__ import annotations + import itertools import multiprocessing import warnings @@ -14,13 +18,21 @@ warnings.simplefilter(action="ignore", category=UserWarning) -def convert_formula(combinations, num_elements, max_stoich): +def convert_formula(combinations: list, num_elements: int, max_stoich: int): + """Convert combinations into chemical formula. + + Args: + combinations (list): list of lists of smact.Element objects. + num_elements (int): the number of elements in a compound. + max_stoich (int): the maximum stoichiometric coefficient. + + Returns: + local_compounds (list): A list of chemical formula. + """ symbols = [element.symbol for element in combinations] local_compounds = [] - for counts in itertools.product( - range(1, max_stoich + 1), repeat=num_elements - ): - formula_dict = {symbol: count for symbol, count in zip(symbols, counts)} + for counts in itertools.product(range(1, max_stoich + 1), repeat=num_elements): + formula_dict = dict(zip(symbols, counts)) formula = Composition(formula_dict).reduced_formula local_compounds.append(formula) return local_compounds @@ -30,13 +42,15 @@ def generate_composition_with_smact( num_elements: int = 2, max_stoich: int = 8, max_atomic_num: int = 103, - num_processes: int = None, - save_path: str = None, + num_processes: int | None = None, + save_path: str | None = None, ): - """Generate all possible compositions of a given number of elements and + """ + Generate all possible compositions of a given number of elements and filter them with SMACT. Args: + ---- num_elements: the number of elements in a compound. Defaults to 2. max_stoich: the maximum stoichiometric coefficient. Defaults to 8. max_atomic_num: the maximum atomic number. Defaults to 103. @@ -44,26 +58,21 @@ def generate_composition_with_smact( save_path: the path to save the results. Defaults to None. Returns: + ------- _description_ - """ + """ # 1. generate all possible combinations of elements print("#1. Generating all possible combinations of elements...") - elements = [ - Element(element) for element in ordered_elements(1, max_atomic_num) - ] + elements = [Element(element) for element in ordered_elements(1, max_atomic_num)] combinations = list(itertools.combinations(elements, num_elements)) print(f"Number of generated combinations: {len(list(combinations))}") # 2. generate all possible stoichiometric combinations print("#2. Generating all possible stoichiometric combinations...") - pool = multiprocessing.Pool( - processes=multiprocessing.cpu_count() - if num_processes is None - else num_processes - ) + pool = multiprocessing.Pool(processes=multiprocessing.cpu_count() if num_processes is None else num_processes) compounds = list( tqdm( pool.imap_unordered( @@ -90,24 +99,14 @@ def generate_composition_with_smact( # 3. filter compounds with smact print("#3. Filtering compounds with SMACT...") elements_pauling = [ - Element(element) - for element in ordered_elements(1, max_atomic_num) - if Element(element).pauling_eneg is not None + Element(element) for element in ordered_elements(1, max_atomic_num) if Element(element).pauling_eneg is not None ] # omit elements without Pauling electronegativity (e.g., He, Ne, Ar, ...) - compounds_pauling = list( - itertools.combinations(elements_pauling, num_elements) - ) + compounds_pauling = list(itertools.combinations(elements_pauling, num_elements)) - pool = multiprocessing.Pool( - processes=multiprocessing.cpu_count() - if num_processes is None - else num_processes - ) + pool = multiprocessing.Pool(processes=multiprocessing.cpu_count() if num_processes is None else num_processes) results = list( tqdm( - pool.imap_unordered( - partial(smact_filter, threshold=max_stoich), compounds_pauling - ), + pool.imap_unordered(partial(smact_filter, threshold=max_stoich), compounds_pauling), total=len(compounds_pauling), ) ) @@ -122,9 +121,7 @@ def generate_composition_with_smact( for result in results: for res in result: symbols_stoich = zip(res[0], res[2]) - composition_dict = { - symbol: stoich for symbol, stoich in symbols_stoich - } + composition_dict = dict(symbols_stoich) smact_allowed.append(Composition(composition_dict).reduced_formula) smact_allowed = list(set(smact_allowed)) print(f"Number of compounds allowed by SMACT: {len(smact_allowed)}") diff --git a/examples/Crystal_Space/plot_embedding.py b/smact/utils/crystal_space/plot_embedding.py similarity index 88% rename from examples/Crystal_Space/plot_embedding.py rename to smact/utils/crystal_space/plot_embedding.py index 8b76f5ef..308be912 100644 --- a/examples/Crystal_Space/plot_embedding.py +++ b/smact/utils/crystal_space/plot_embedding.py @@ -1,10 +1,16 @@ -from pathlib import Path -from typing import List +"""Utility functions for plotting dimension reduced embeddings using plotly.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING import pandas as pd import plotly.graph_objects as go from plotly.subplots import make_subplots +if TYPE_CHECKING: + from pathlib import Path + def update_layout( fig: go.Figure, @@ -14,6 +20,7 @@ def update_layout( width: float = 1200, height: float = 1800, ): + """Update layout of a plotly figure.""" # set axis for i in range(1, num_row + 1): for j in range(1, num_col + 1): @@ -60,21 +67,18 @@ def update_layout( def plot_reducers_embeddings( df_label: pd.DataFrame, - reducers: List[str], - embedding_names: List[str], + reducers: list[str], + embedding_names: list[str], embedding_dir: Path, save_path: Path, symbol: str = "circle", title: str = "Embedding Visualization", ): + """Plot dimension reduction plots.""" fig = make_subplots( rows=6, cols=3, - subplot_titles=[ - f"{reducer} - {embedding_name}" - for embedding_name in embedding_names - for reducer in reducers - ], + subplot_titles=[f"{reducer} - {embedding_name}" for embedding_name in embedding_names for reducer in reducers], vertical_spacing=0.02, horizontal_spacing=0.02, ) @@ -121,7 +125,7 @@ def plot_reducers_embeddings( ) # add legend - for label, _ in legend_colors.items(): + for label in legend_colors: fig.add_trace( go.Scatter( x=[None],