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Basic programs for generating Slater-Koster files for the DFTB-method

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SkProgs

Package containing a few programs that are useful in generating Slater-Koster files for the DFTB-method.

NOTE: This packages comes with minimal documentation and with a currently rather fragile user interface. It is considered to be neither stable nor robust. Make sure, you check results as careful as possible. Use at your own risk!

Installation

build status

Prerequisites

  • Fortran 2003 compliant compiler
  • CMake (>= 3.16)
  • Python3 (>= 3.2)
  • LAPACK/BLAS libraries (or compatible equivalents)
  • libXC library with f03 interface (>=6.0.0)
  • MpiFx (>=1.5, MPI-enabled build only)

Obtaining via Conda

The preferred way of obtaining SkProgs is to install it via the conda package management framework using Miniconda or Anaconda. Make sure to add/enable the conda-forge channel in order to be able to access SkProgs:

conda config --add channels conda-forge
conda config --set channel_priority strict

We recommend to set up a dedicated conda environment and to use the mamba solver

conda install -n base mamba
conda create -n skprogs
conda activate skprogs

to install the latest stable release of SkProgs (Fortran and Python components):

mamba install skprogs skprogs-python

Building from source

Follow the usual CMake build workflow:

  • Configure the project, specify your compilers (e.g. gfortran), the install location (i.e. path stored in YOUR_SKPROGS_INSTALL_FOLDER, e.g. $HOME/opt/skprogs) and the build directory (e.g. _build):

    FC=gfortran cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=YOUR_SKPROGS_INSTALL_FOLDER -B _build .
    

    An MPI enabled build is obtained by additionally setting -DWITH_MPI=1 (default: -DWITH_MPI=0). At the moment only the two-center integration code sktwocnt is MPI parallelized and benefits from multiple processors.

    If libXC is installed in a non-standard location, you may need to specify either the CMAKE_PREFIX_PATH environment variable (if libXC was built with CMake) or the PKG_CONFIG_PATH environment variable (if libXC was built with autotools) in order to guide the library search:

    CMAKE_PREFIX_PATH=YOUR_LIBXC_INSTALL_FOLDER FC=gfortan cmake [...]
    
    PKG_CONFIG_PATH=FOLDER_WITH_LIBXC_PC_FILES FC=gfortran cmake [...]
    
  • If the configuration was successful, build the code

    cmake --build _build -- -j
    
  • After successful build, you should test the code by running

    pushd _build
    ctest -j
    popd
    
  • If you want to test the MPI enabled binary with more than one MPI-process, you should set the TEST_MPI_PROCS variable in config.cmake accordingly, e.g.:

    set(TEST_MPI_PROCS "2" CACHE STRING "Nr. of processes used for testing")
    

    The TEST_MPI_PROCS cache variable can be updated or changed also after the compilation by invoking CMake with the appropriate -D option, e.g.:

    cmake -B _build -DTEST_MPI_PROCS=2 .
    pushd _build; ctest; popd
    
  • If the tests were successful, install the package via

    cmake --install _build
    

Building libXC from source

Follow the usual CMake build workflow:

  • Clone the official libXC repository and checkout the latest release tag, e.g. 6.2.2:

    git clone https://gitlab.com/libxc/libxc.git libxc
    cd libxc/
    git checkout 6.2.2
    
  • Configure the project, specify your compilers (e.g. gfortran and gcc), the install location (i.e. path stored in YOUR_LIBXC_INSTALL_FOLDER, e.g. $HOME/opt/libxc) and the build directory (e.g. _build):

    FC=gfortran CC=gcc cmake -DENABLE_FORTRAN=True -DCMAKE_INSTALL_PREFIX=YOUR_LIBXC_INSTALL_FOLDER -B _build .
    
  • If the configuration was successful, build the code

    cmake --build _build -- -j
    
  • After successful build, you should test the code by running

    pushd _build
    ctest -j
    popd
    
  • If the tests were successful, install the package via

    cmake --install _build
    

Advanced build configuration

Controlling the toolchain file selection

You can override the toolchain file, and select a different provided case, passing the -DTOOLCHAIN option with the relevant name, e.g.:

-DTOOLCHAIN=gnu

or

-DTOOLCHAIN=intel

or by setting the toolchain name in the SKPROGS_TOOLCHAIN environment variable. If you want to load an external toolchain file instead of one from the source tree, you can specify the file path with the -DTOOLCHAIN_FILE option

-DTOOLCHAIN_FILE=/path/to/myintel.cmake

or with the SKPROGS_TOOLCHAIN_FILE environment variable.

Similarly, you can also use an alternative build config file instead of config.cmake in the source tree by specifying it with the -DBUILD_CONFIG_FILE option or by defining the SKPROGS_BUILD_CONFIG_FILE environment variable.

Generating SK-files

The basic steps of generating the electronic part of the SK-tables are as follows:

  • If you have build SkProgs from source, initialize the necessary environment variables by sourceing the skprogs-activate.sh script (provided you have BASH or a compatible shell, otherwise inspect the script and set up the environment variables manually):

    source <SKPROGS_INSTALL_FOLDER>/bin/skprogs-activate.sh
    
  • Then create a file skdef.hsd containing the definitions for the elements and element pairs you wish to create. See the examples/ folder for some examples.

  • Run the skgen script to create the SK-tables. For example, in order to generate the electronic part of the SK-tables for C, H and O with dummy (zero) repulsives added, issue

    skgen -o slateratom -t sktwocnt sktable -d C,H,O C,H,O
    

    For an MPI enabled binary, make sure to prepend any required information to the two-center binary, e.g.:

    skgen -o slateratom -t "mpirun -np 2 sktwocnt" sktable -d C C |& tee output
    

    The SK-files will be created in the current folder. See the help (e.g. skgen -h) for additional options.

Further documentation will be presented in a separate document later.

License

SkProgs is released under the GNU Lesser General Public License.

You can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. See the files COPYING and COPYING.LESSER for the detailed licensing conditions.

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Basic programs for generating Slater-Koster files for the DFTB-method

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  • Fortran 72.1%
  • Python 24.2%
  • CMake 3.7%