diff --git a/conda-lock.yml b/conda-lock.yml
index df14a1f..cdcd564 100644
--- a/conda-lock.yml
+++ b/conda-lock.yml
@@ -5,7 +5,7 @@
 # available, unless you explicitly update the lock file.
 #
 # Install this environment as "YOURENV" with:
-#     conda-lock install -n YOURENV --file conda-lock.yml
+#     conda-lock install -n YOURENV conda-lock.yml
 # To update a single package to the latest version compatible with the version constraints in the source:
 #     conda-lock lock  --lockfile conda-lock.yml --update PACKAGE
 # To re-solve the entire environment, e.g. after changing a version constraint in the source file:
@@ -13,7 +13,7 @@
 version: 1
 metadata:
   content_hash:
-    linux-64: b3bc921f3b2ec6c9fc6b9f5479fa5d65e011bd6f00f3f2c719e1f507a9c774fa
+    linux-64: 0f28bf119e9aecbe59da3e974a43c9f6041a0e6c062afdec626ab674018f0315
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -33,4876 +33,514 @@ package:
     sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
   category: main
   optional: false
-- name: ca-certificates
-  version: 2023.7.22
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.7.22-hbcca054_0.conda
-  hash:
-    md5: a73ecd2988327ad4c8f2c331482917f2
-    sha256: 525b7b6b5135b952ec1808de84e5eca57c7c7ff144e29ef3e96ae4040ff432c1
-  category: main
-  optional: false
-- name: conda-ecosystem-user-package-isolation
-  version: '1.0'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/conda-ecosystem-user-package-isolation-1.0-ha770c72_1.tar.bz2
-  hash:
-    md5: ae754334312bf9346a0f75d1d21bc24f
-    sha256: 0692b32ffc84f4b98f05b700693ae40607af9431c56ddcc42bd130238723bbec
-  category: main
-  optional: false
-- name: fenics-ufcx
-  version: 0.6.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/fenics-ufcx-0.6.0-h56297ac_0.conda
-  hash:
-    md5: 6424710417c308e1e5a711de04e7b4cb
-    sha256: d3abe7a32493d2c69f86b18961837a629156fcbb38bb8509da6479f3e8d689f0
-  category: main
-  optional: false
-- name: font-ttf-dejavu-sans-mono
-  version: '2.37'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
-  hash:
-    md5: 0c96522c6bdaed4b1566d11387caaf45
-    sha256: 58d7f40d2940dd0a8aa28651239adbf5613254df0f75789919c4e6762054403b
-  category: main
-  optional: false
-- name: font-ttf-inconsolata
-  version: '3.000'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
-  hash:
-    md5: 34893075a5c9e55cdafac56607368fc6
-    sha256: c52a29fdac682c20d252facc50f01e7c2e7ceac52aa9817aaf0bb83f7559ec5c
-  category: main
-  optional: false
-- name: font-ttf-source-code-pro
-  version: '2.038'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
-  hash:
-    md5: 4d59c254e01d9cde7957100457e2d5fb
-    sha256: 00925c8c055a2275614b4d983e1df637245e19058d79fc7dd1a93b8d9fb4b139
-  category: main
-  optional: false
-- name: font-ttf-ubuntu
-  version: '0.83'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2
-  hash:
-    md5: 19410c3df09dfb12d1206132a1d357c5
-    sha256: 470d5db54102bd51dbb0c5990324a2f4a0bc976faa493b22193338adb9882e2e
-  category: main
-  optional: false
-- name: kernel-headers_linux-64
-  version: 2.6.32
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_16.conda
-  hash:
-    md5: 7ca122655873935e02c91279c5b03c8c
-    sha256: aaa8aa6dc776d734a6702032588ff3c496721da905366d91162e3654c082aef0
-  category: main
-  optional: false
-- name: ld_impl_linux-64
-  version: '2.40'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h41732ed_0.conda
-  hash:
-    md5: 7aca3059a1729aa76c597603f10b0dd3
-    sha256: f6cc89d887555912d6c61b295d398cff9ec982a3417d38025c45d5dd9b9e79cd
-  category: main
-  optional: false
-- name: libboost-headers
-  version: 1.82.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.82.0-ha770c72_6.conda
-  hash:
-    md5: a943dcb8fd22cf23ce901ac84f6538c2
-    sha256: c996950b85808115ea833e577a0af2969dbb0378c299560c2b945401a7770823
-  category: main
-  optional: false
-- name: libgcc-devel_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-devel_linux-64-12.3.0-h8bca6fd_2.conda
-  hash:
-    md5: ed613582de7b8569fdc53ca141be176a
-    sha256: 7e12d0496389017ca526254913b24d9024e1728c849a0d6476a4b7fde9d03cba
-  category: main
-  optional: false
-- name: libstdcxx-devel_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-devel_linux-64-12.3.0-h8bca6fd_2.conda
-  hash:
-    md5: 7268a17e56eb099d1b8869bbbf46de4c
-    sha256: e8483069599561ef24b884c898442eadc510190f978fa388db3281b10c3c084e
-  category: main
-  optional: false
-- name: libstdcxx-ng
-  version: 13.2.0
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-h7e041cc_2.conda
-  hash:
-    md5: 9172c297304f2a20134fc56c97fbe229
-    sha256: ab22ecdc974cdbe148874ea876d9c564294d5eafa760f403ed4fd495307b4243
-  category: main
-  optional: false
-- name: mpi
-  version: '1.0'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/mpi-1.0-openmpi.tar.bz2
-  hash:
-    md5: 1dcc49e16749ff79ba2194fa5d4ca5e7
-    sha256: 54cf44ee2c122bce206f834a825af06e3b14fc4fd58c968ae9329715cc281d1e
-  category: main
-  optional: false
-- name: mumps-include
-  version: 5.2.1
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/mumps-include-5.2.1-ha770c72_11.tar.bz2
-  hash:
-    md5: 765196257c11b54dc52522d2fcafdd69
-    sha256: 583922c671eb90e576a96432fe1439bc5eb46f88c4a0a4867fba39653c09c6de
-  category: main
-  optional: false
-- name: nlohmann_json
-  version: 3.11.2
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/nlohmann_json-3.11.2-h27087fc_0.tar.bz2
-  hash:
-    md5: b7743cf3f8da023abe95afc215111555
-    sha256: 55ac71e0431267b30b3bc9ea0238d1b9dc69644938d213511749c71b91506a7b
-  category: main
-  optional: false
-- name: pybind11-abi
-  version: '4'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_3.tar.bz2
-  hash:
-    md5: 878f923dd6acc8aeb47a75da6c4098be
-    sha256: d4fb485b79b11042a16dc6abfb0c44c4f557707c2653ac47c81e5d32b24a3bb0
-  category: main
-  optional: false
-- name: python_abi
-  version: '3.10'
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-4_cp310.conda
-  hash:
-    md5: 26322ec5d7712c3ded99dd656142b8ce
-    sha256: 456bec815bfc2b364763084d08b412fdc4c17eb9ccc66a36cb775fa7ac3cbaec
-  category: main
-  optional: false
-- name: tzdata
-  version: 2023c
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda
-  hash:
-    md5: 939e3e74d8be4dac89ce83b20de2492a
-    sha256: 0449138224adfa125b220154408419ec37c06b0b49f63c5954724325903ecf55
-  category: main
-  optional: false
-- name: utfcpp
-  version: 3.2.5
-  manager: conda
-  platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/utfcpp-3.2.5-ha770c72_0.conda
-  hash:
-    md5: b3599de486d88c2c447501cd2b053a99
-    sha256: 91c89693a4bd7f9aec874528506ba08dfc6c9acc3aec88dfb315dad6adba0c8b
-  category: main
-  optional: false
-- name: fonts-conda-forge
-  version: '1'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    font-ttf-dejavu-sans-mono: ''
-    font-ttf-inconsolata: ''
-    font-ttf-source-code-pro: ''
-    font-ttf-ubuntu: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
-  hash:
-    md5: f766549260d6815b0c52253f1fb1bb29
-    sha256: 53f23a3319466053818540bcdf2091f253cbdbab1e0e9ae7b9e509dcaa2a5e38
-  category: main
-  optional: false
-- name: libgomp
-  version: 13.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    _libgcc_mutex: '0.1'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h807b86a_2.conda
-  hash:
-    md5: e2042154faafe61969556f28bade94b9
-    sha256: e1e82348f8296abfe344162b3b5f0ddc2f504759ebeb8b337ba99beaae583b15
-  category: main
-  optional: false
-- name: sysroot_linux-64
-  version: '2.12'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    kernel-headers_linux-64: 2.6.32
-  url: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.12-he073ed8_16.conda
-  hash:
-    md5: 071ea8dceff4d30ac511f4a2f8437cd1
-    sha256: 4c024b2eee24c6da7d3e08723111ec02665c578844c5b3e9e6b38f89000bec41
-  category: main
-  optional: false
-- name: _openmp_mutex
-  version: '4.5'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    _libgcc_mutex: '0.1'
-    libgomp: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-  hash:
-    md5: 73aaf86a425cc6e73fcf236a5a46396d
-    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
-  category: main
-  optional: false
-- name: binutils_impl_linux-64
-  version: '2.40'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    ld_impl_linux-64: '2.40'
-    sysroot_linux-64: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-hf600244_0.conda
-  hash:
-    md5: 33084421a8c0af6aef1b439707f7662a
-    sha256: a7e0ea2b71a5b03d82e5a58fb6b612ab1c44d72ce161f9aa441f7ba467cd4c8d
-  category: main
-  optional: false
-- name: fonts-conda-ecosystem
-  version: '1'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    fonts-conda-forge: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
-  hash:
-    md5: fee5683a3f04bd15cbd8318b096a27ab
-    sha256: a997f2f1921bb9c9d76e6fa2f6b408b7fa549edd349a77639c9fe7a23ea93e61
-  category: main
-  optional: false
-- name: binutils_linux-64
-  version: '2.40'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    binutils_impl_linux-64: 2.40.*
-    sysroot_linux-64: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hbdbef99_2.conda
-  hash:
-    md5: adfebae9fdc63a598495dfe3b006973a
-    sha256: 333f3339d94c93bcc02a723e3e460cb6ff6075e05f5247e15bef5dcdcec541a3
-  category: main
-  optional: false
-- name: libgcc-ng
-  version: 13.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    _libgcc_mutex: '0.1'
-    _openmp_mutex: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.conda
-  hash:
-    md5: c28003b0be0494f9a7664389146716ff
-    sha256: d361d3c87c376642b99c1fc25cddec4b9905d3d9b9203c1c545b8c8c1b04539a
-  category: main
-  optional: false
-- name: alsa-lib
-  version: 1.2.10
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.10-hd590300_0.conda
-  hash:
-    md5: 75dae9a4201732aa78a530b826ee5fe0
-    sha256: 51147922bad9d3176e780eb26f748f380cd3184896a9f9125d8ac64fe330158b
-  category: main
-  optional: false
-- name: aom
-  version: 3.6.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aom-3.6.1-h59595ed_0.conda
-  hash:
-    md5: 8457db6d1175ee86c8e077f6ac60ff55
-    sha256: 006d10fe845374e71fb15a6c1f58ae4b3efef69be02b0992265abfb5c4c2e026
-  category: main
-  optional: false
-- name: attr
-  version: 2.5.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
-  hash:
-    md5: d9c69a24ad678ffce24c6543a0176b00
-    sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
-  category: main
-  optional: false
-- name: bzip2
-  version: 1.0.8
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=9.3.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2
-  hash:
-    md5: a1fd65c7ccbf10880423d82bca54eb54
-    sha256: cb521319804640ff2ad6a9f118d972ed76d86bea44e5626c09a13d38f562e1fa
-  category: main
-  optional: false
-- name: c-ares
-  version: 1.20.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda
-  hash:
-    md5: 2facbaf5ee1a56967aecaee89799160e
-    sha256: 1700d9ebfd3b21c8b50e12a502f26e015719e1f3dbb5d491b5be061cf148ca7a
-  category: main
-  optional: false
-- name: dav1d
-  version: 1.2.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
-  hash:
-    md5: 418c6ca5929a611cbd69204907a83995
-    sha256: 22053a5842ca8ee1cf8e1a817138cdb5e647eb2c46979f84153f6ad7bde73020
-  category: main
-  optional: false
-- name: double-conversion
-  version: 3.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.3.0-h59595ed_0.conda
-  hash:
-    md5: c2f83a5ddadadcdb08fe05863295ee97
-    sha256: 9eee491a73b67fd64379cf715f85f8681568ebc1f02f9e11b4c50d46a3323544
-  category: main
-  optional: false
-- name: eigen
-  version: 3.4.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/eigen-3.4.0-h00ab1b0_0.conda
-  hash:
-    md5: b1b879d6d093f55dd40d58b5eb2f0699
-    sha256: 53b15a98aadbe0704479bacaf7a5618fcb32d1577be320630674574241639b34
-  category: main
-  optional: false
-- name: fribidi
-  version: 1.0.10
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
-  hash:
-    md5: ac7bc6a654f8f41b352b38f4051135f8
-    sha256: 5d7b6c0ee7743ba41399e9e05a58ccc1cfc903942e49ff6f677f6e423ea7a627
-  category: main
-  optional: false
-- name: gettext
-  version: 0.21.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
-  hash:
-    md5: 14947d8770185e5153fdd04d4673ed37
-    sha256: 4fcfedc44e4c9a053f0416f9fc6ab6ed50644fca3a761126dbd00d09db1f546a
-  category: main
-  optional: false
-- name: gmp
-  version: 6.2.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=7.5.0'
-    libstdcxx-ng: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gmp-6.2.1-h58526e2_0.tar.bz2
-  hash:
-    md5: b94cf2db16066b242ebd26db2facbd56
-    sha256: 07a5319e1ac54fe5d38f50c60f7485af7f830b036da56957d0bfb7558a886198
-  category: main
-  optional: false
-- name: graphite2
-  version: 1.3.13
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=7.5.0'
-    libstdcxx-ng: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2
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-- name: jsoncpp
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-- name: jxrlib
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/jxrlib-1.1-h7f98852_2.tar.bz2
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-- name: keyutils
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
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-- name: lame
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2
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-- name: lerc
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-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: libaec
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-  manager: conda
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-  dependencies:
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-- name: libbrotlicommon
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda
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-- name: libdeflate
-  version: '1.19'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.19-hd590300_0.conda
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-- name: libev
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-h516909a_1.tar.bz2
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-- name: libexpat
-  version: 2.5.0
-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.5.0-hcb278e6_1.conda
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-- name: libffi
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
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-- name: libgfortran5
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-  dependencies:
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-- name: libiconv
-  version: '1.17'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-h166bdaf_0.tar.bz2
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-- name: libjpeg-turbo
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-2.1.5.1-hd590300_1.conda
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-- name: libnsl
-  version: 2.0.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
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-- name: libogg
-  version: 1.3.4
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.4-h7f98852_1.tar.bz2
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-- name: libopus
-  version: 1.3.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libopus-1.3.1-h7f98852_1.tar.bz2
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-- name: libpciaccess
-  version: '0.17'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libpciaccess-0.17-h166bdaf_0.tar.bz2
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-- name: libsanitizer
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-12.3.0-h0f45ef3_2.conda
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-- name: libsodium
-  version: 1.0.18
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
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-- name: libtasn1
-  version: 4.19.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libtasn1-4.19.0-h166bdaf_0.tar.bz2
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-- name: libunistring
-  version: 0.9.10
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libunistring-0.9.10-h7f98852_0.tar.bz2
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-- name: libuuid
-  version: 2.38.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
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-- name: libvpx
-  version: 1.13.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libvpx-1.13.1-h59595ed_0.conda
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-  optional: false
-- name: libwebp-base
-  version: 1.3.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.2-hd590300_0.conda
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-- name: libzlib
-  version: 1.2.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda
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-- name: lz4-c
-  version: 1.9.4
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
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-- name: metis
-  version: 5.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/metis-5.1.0-h59595ed_1007.conda
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-- name: mpg123
-  version: 1.32.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.3-h59595ed_0.conda
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-- name: ncurses
-  version: '6.4'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-hcb278e6_0.conda
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-- name: nettle
-  version: 3.8.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/nettle-3.8.1-hc379101_1.tar.bz2
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-- name: nspr
-  version: '4.35'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda
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-- name: openh264
-  version: 2.3.1
-  manager: conda
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-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/openh264-2.3.1-hcb278e6_2.conda
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-- name: openssl
-  version: 3.1.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.1.3-hd590300_0.conda
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-- name: pixman
-  version: 0.42.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/pixman-0.42.2-h59595ed_0.conda
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-- name: pkg-config
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pkg-config-0.29.2-h36c2ea0_1008.tar.bz2
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-- name: pthread-stubs
-  version: '0.4'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2
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-- name: pugixml
-  version: '1.13'
-  manager: conda
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-  dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/pugixml-1.13-h59595ed_1.conda
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-- name: rapidjson
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: snappy
-  version: 1.1.10
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: x264
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-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/x264-1!164.3095-h166bdaf_2.tar.bz2
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-- name: x265
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=10.3.0'
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-- name: xorg-kbproto
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
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-- name: xorg-libice
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
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-- name: xorg-libxau
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
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-- name: xorg-libxdmcp
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
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-- name: xorg-renderproto
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
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-- name: xorg-xextproto
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
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-- name: xorg-xf86vidmodeproto
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-  manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
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-- name: xorg-xproto
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-- name: xz
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-  dependencies:
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-- name: yaml
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-  url: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
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-- name: zfp
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-  manager: conda
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-  dependencies:
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-    libgcc-ng: '>=9.4.0'
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-- name: expat
-  version: 2.5.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/expat-2.5.0-hcb278e6_1.conda
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-- name: gcc_impl_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: hdf4
-  version: 4.2.15
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
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-- name: imath
-  version: 3.1.9
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: libbrotlidec
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
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-- name: libbrotlienc
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
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-  optional: false
-- name: libcap
-  version: '2.69'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.69-h0f662aa_0.conda
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-- name: libdrm
-  version: 2.4.114
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libpciaccess: '>=0.17,<0.18.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.114-h166bdaf_0.tar.bz2
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-  optional: false
-- name: libedit
-  version: 3.1.20191231
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    ncurses: '>=6.2,<7.0.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
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-- name: libevent
-  version: 2.1.12
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    openssl: '>=3.1.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
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-- name: libflac
-  version: 1.4.3
-  manager: conda
-  platform: linux-64
-  dependencies:
-    gettext: '>=0.21.1,<1.0a0'
-    libgcc-ng: '>=12'
-    libogg: '>=1.3.4,<1.4.0a0'
-    libstdcxx-ng: '>=12'
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-  category: main
-  optional: false
-- name: libgfortran-ng
-  version: 13.2.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_2.conda
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-  optional: false
-- name: libgpg-error
-  version: '1.47'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    gettext: '>=0.21.1,<1.0a0'
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.47-h71f35ed_0.conda
-  hash:
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-  optional: false
-- name: libidn2
-  version: 2.3.4
-  manager: conda
-  platform: linux-64
-  dependencies:
-    gettext: '>=0.21.1,<1.0a0'
-    libgcc-ng: '>=12'
-    libunistring: '>=0,<1.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libidn2-2.3.4-h166bdaf_0.tar.bz2
-  hash:
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-  category: main
-  optional: false
-- name: libnghttp2
-  version: 1.52.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    c-ares: '>=1.18.1,<2.0a0'
-    libev: '>=4.33,<4.34.0a0'
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-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.52.0-h61bc06f_0.conda
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-  optional: false
-- name: libpng
-  version: 1.6.39
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda
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-- name: libsqlite
-  version: 3.43.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.43.2-h2797004_0.conda
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-- name: libssh2
-  version: 1.11.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openssl: '>=3.1.1,<4.0a0'
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-  optional: false
-- name: libvorbis
-  version: 1.3.7
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=9.3.0'
-    libogg: '>=1.3.4,<1.4.0a0'
-    libstdcxx-ng: '>=9.3.0'
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-  optional: false
-- name: libxcb
-  version: '1.15'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
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-- name: libxml2
-  version: 2.11.5
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libiconv: '>=1.17,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    xz: '>=5.2.6,<6.0a0'
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-  category: main
-  optional: false
-- name: libzip
-  version: 1.10.1
-  manager: conda
-  platform: linux-64
-  dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openssl: '>=3.1.2,<4.0a0'
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-  manager: conda
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: p11-kit
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: pcre2
-  version: '10.40'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
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-- name: readline
-  version: '8.2'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    ncurses: '>=6.3,<7.0a0'
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-- name: tk
-  version: 8.6.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: xorg-fixesproto
-  version: '5.0'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: xorg-libsm
-  version: 1.2.4
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libuuid: '>=2.38.1,<3.0a0'
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-- name: zeromq
-  version: 4.3.5
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libsodium: '>=1.0.18,<1.0.19.0a0'
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-- name: zlib
-  version: 1.2.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
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-- name: zstd
-  version: 1.5.5
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: blosc
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: brotli-bin
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libbrotlienc: 1.1.0
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-- name: freetype
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libpng: '>=1.6.39,<1.7.0a0'
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-  hash:
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-- name: gcc_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    gcc_impl_linux-64: 12.3.0.*
-    sysroot_linux-64: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h76fc315_2.conda
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-- name: gl2ps
-  version: 1.4.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libpng: '>=1.6.37,<1.7.0a0'
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-- name: gnutls
-  version: 3.7.8
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libidn2: '>=2,<3.0a0'
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-    nettle: '>=3.8.1,<3.9.0a0'
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-  category: main
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-- name: gxx_impl_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-devel_linux-64: 12.3.0
-    sysroot_linux-64: ''
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-- name: krb5
-  version: 1.21.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libedit: '>=3.1.20191231,<4.0a0'
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-    libstdcxx-ng: '>=12'
-    openssl: '>=3.1.2,<4.0a0'
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-- name: libboost
-  version: 1.82.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    icu: '>=73.2,<74.0a0'
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-    xz: '>=5.2.6,<6.0a0'
-    zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-1.82.0-h6fcfa73_6.conda
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-- name: libgcrypt
-  version: 1.10.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgpg-error: '>=1.44,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-1.10.1-h166bdaf_0.tar.bz2
-  hash:
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-- name: libglib
-  version: 2.78.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libffi: '>=3.4,<4.0a0'
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-    libiconv: '>=1.17,<2.0a0'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    pcre2: '>=10.40,<10.41.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.0-hebfc3b9_0.conda
-  hash:
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-- name: libhwloc
-  version: 2.9.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-    libxml2: '>=2.11.5,<2.12.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.9.3-default_h554bfaf_1009.conda
-  hash:
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-  optional: false
-- name: libllvm15
-  version: 15.0.7
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-    libxml2: '>=2.11.4,<2.12.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm15-15.0.7-h5cf9203_3.conda
-  hash:
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-  category: main
-  optional: false
-- name: libopenblas
-  version: 0.3.24
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.24-pthreads_h413a1c8_0.conda
-  hash:
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-- name: libsndfile
-  version: 1.2.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libflac: '>=1.4.3,<1.5.0a0'
-    libgcc-ng: '>=12'
-    libogg: '>=1.3.4,<1.4.0a0'
-    libopus: '>=1.3.1,<2.0a0'
-    libstdcxx-ng: '>=12'
-    libvorbis: '>=1.3.7,<1.4.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc60ed4a_1.conda
-  hash:
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-  optional: false
-- name: libtheora
-  version: 1.1.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libogg: '>=1.3.4,<1.4.0a0'
-    libpng: '>=1.6.37,<1.7.0a0'
-    libvorbis: '>=1.3.7,<1.4.0a0'
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-  optional: false
-- name: libtiff
-  version: 4.6.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libdeflate: '>=1.19,<1.20.0a0'
-    libgcc-ng: '>=12'
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-    libstdcxx-ng: '>=12'
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-    libzlib: '>=1.2.13,<1.3.0a0'
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-    zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h29866fb_1.conda
-  hash:
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-  optional: false
-- name: mysql-libs
-  version: 8.0.33
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    mysql-common: 8.0.33
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-  url: https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.0.33-hca2cd23_5.conda
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-  category: main
-  optional: false
-- name: nss
-  version: '3.94'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libsqlite: '>=3.43.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.94-h1d7d5a4_0.conda
-  hash:
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-  category: main
-  optional: false
-- name: openexr
-  version: 3.2.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/openexr-3.2.1-h3f0fd8d_0.conda
-  hash:
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-  category: main
-  optional: false
-- name: openmpi
-  version: 4.1.6
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
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-- name: python
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-    readline: '>=8.2,<9.0a0'
-    tk: '>=8.6.12,<8.7.0a0'
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-- name: scotch
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libzlib: '>=1.2.11,<1.3.0a0'
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-- name: sqlite
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-  optional: false
-- name: xcb-util
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libxcb: '>=1.15,<1.16.0a0'
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-- name: xcb-util-keysyms
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libxcb: '>=1.15,<1.16.0a0'
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-- name: xcb-util-renderutil
-  version: 0.3.9
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libxcb: '>=1.15,<1.16.0a0'
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-- name: xcb-util-wm
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-  dependencies:
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-    libxcb: '>=1.15,<1.16.0a0'
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-- name: xorg-libx11
-  version: 1.8.7
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libxcb: '>=1.15,<1.16.0a0'
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-  optional: false
-- name: alabaster
-  version: 0.7.13
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/alabaster-0.7.13-pyhd8ed1ab_0.conda
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-  optional: false
-- name: attrs
-  version: 23.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.1.0-pyh71513ae_1.conda
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-  category: main
-  optional: false
-- name: brotli
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libbrotlidec: 1.1.0
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-  hash:
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-  category: main
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-- name: brotli-python
-  version: 1.1.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hc6cd4ac_1.conda
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-- name: cached_property
-  version: 1.5.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
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-  optional: false
-- name: certifi
-  version: 2023.7.22
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2023.7.22-pyhd8ed1ab_0.conda
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-- name: charset-normalizer
-  version: 3.3.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.1-pyhd8ed1ab_0.conda
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-- name: click
-  version: 8.1.7
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda
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-- name: colorama
-  version: 0.4.6
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
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-- name: cycler
-  version: 0.12.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
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-  category: main
-  optional: false
-- name: dbus
-  version: 1.13.6
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=9.4.0'
-    libglib: '>=2.70.2,<3.0a0'
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-- name: docutils
-  version: 0.18.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.18.1-py310hff52083_1.tar.bz2
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-  optional: false
-- name: exceptiongroup
-  version: 1.1.3
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.1.3-pyhd8ed1ab_0.conda
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-- name: fftw
-  version: 3.3.10
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgfortran-ng: ''
-    libgfortran5: '>=11.4.0'
-    libstdcxx-ng: '>=12'
-    openmpi: '>=4.1.5,<5.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/fftw-3.3.10-mpi_openmpi_h4a81ba8_8.conda
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-- name: fontconfig
-  version: 2.14.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    freetype: '>=2.12.1,<3.0a0'
-    libgcc-ng: '>=12'
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-  hash:
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-  category: main
-  optional: false
-- name: frozenlist
-  version: 1.4.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.4.0-py310h2372a71_1.conda
-  hash:
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-- name: glib-tools
-  version: 2.78.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libglib: 2.78.0
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-  hash:
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-  category: main
-  optional: false
-- name: gxx_linux-64
-  version: 12.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    gcc_linux-64: 12.3.0
-    gxx_impl_linux-64: 12.3.0.*
-    sysroot_linux-64: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-12.3.0-h8a814eb_2.conda
-  hash:
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-  optional: false
-- name: idna
-  version: '3.4'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.4-pyhd8ed1ab_0.tar.bz2
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-- name: imagesize
-  version: 1.4.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2
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-  optional: false
-- name: iniconfig
-  version: 2.0.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
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-  optional: false
-- name: kahip
-  version: '3.15'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    metis: '>=5.1.0,<5.1.1.0a0'
-    openmpi: '>=4.1.5,<5.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/kahip-3.15-h8d85730_2.conda
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-- name: kiwisolver
-  version: 1.4.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py310hd41b1e2_1.conda
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-  optional: false
-- name: lcms2
-  version: '2.15'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    libtiff: '>=4.6.0,<4.7.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.15-h7f713cb_2.conda
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-- name: libblas
-  version: 3.9.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-19_linux64_openblas.conda
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-  optional: false
-- name: libboost-devel
-  version: 1.82.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libboost-headers: 1.82.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-devel-1.82.0-h00ab1b0_6.conda
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-  optional: false
-- name: libclang13
-  version: 15.0.7
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libllvm15: '>=15.0.7,<15.1.0a0'
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-- name: pkgutil-resolve-name
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-- name: pluggy
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-- name: ply
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-- name: ptscotch
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-- name: pycparser
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-- name: pygments
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-- name: pyparsing
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-- name: pysocks
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-- name: pytz
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-- name: pyyaml
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-- name: rpds-py
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-- name: setuptools
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-- name: six
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-- name: snowballstemmer
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-- name: sphinxcontrib-jsmath
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-- name: tbb
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-- name: toml
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-- name: tomli
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-- name: tornado
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-- name: typing_extensions
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-- name: unicodedata2
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-- name: wheel
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-- name: xcb-util-image
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-- name: xkeyboard-config
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: xorg-libxext
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    xorg-libx11: '>=1.7.2,<2.0a0'
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-- name: xorg-libxfixes
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-  platform: linux-64
-  dependencies:
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-- name: xorg-libxrender
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    xorg-libx11: '>=1.8.6,<2.0a0'
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-- name: xorg-libxt
-  version: 1.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    xorg-kbproto: ''
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-    xorg-libsm: '>=1.2.4,<2.0a0'
-    xorg-libx11: '>=1.8.6,<2.0a0'
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-- name: zipp
-  version: 3.17.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
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-- name: aiosignal
-  version: 1.3.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: babel
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    pytz: ''
-    setuptools: ''
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-- name: cached-property
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-- name: cairo
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-    fonts-conda-ecosystem: ''
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-- name: cffi
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-    libgcc-ng: '>=12'
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-- name: coverage
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-  manager: conda
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-  dependencies:
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-    python: '>=3.10,<3.11.0a0'
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-- name: fonttools
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    munkres: ''
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-- name: glib
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-- name: hdf5
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-  manager: conda
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-  dependencies:
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-- name: importlib-metadata
-  version: 6.8.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-- name: importlib_resources
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-  dependencies:
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-- name: isort
-  version: 5.12.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    setuptools: ''
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-- name: jinja2
-  version: 3.1.2
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    python: '>=3.7'
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-- name: kahip-python
-  version: '3.15'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
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-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
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-- name: libcblas
-  version: 3.9.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-19_linux64_openblas.conda
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-- name: libclang
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-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=12'
-    libllvm15: '>=15.0.7,<15.1.0a0'
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-- name: libglu
-  version: 9.0.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libstdcxx-ng: '>=12'
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-  optional: false
-- name: liblapack
-  version: 3.9.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-19_linux64_openblas.conda
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-- name: libraw
-  version: 0.21.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    lcms2: '>=2.15,<3.0a0'
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-- name: libva
-  version: 2.20.0
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-  dependencies:
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-- name: libxkbcommon
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-  manager: conda
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-  dependencies:
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-    libstdcxx-ng: '>=12'
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-    libxml2: '>=2.11.5,<2.12.0a0'
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-- name: markdown-it-py
-  version: 3.0.0
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda
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-- name: pillow
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-  dependencies:
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-- name: pint
-  version: '0.22'
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/pint-0.22-pyhd8ed1ab_1.conda
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-- name: pip
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-- name: referencing
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-- name: tbb-devel
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-- name: xorg-libxmu
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-- name: yarl
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-- name: async-timeout
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-- name: fenics-libbasix
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-- name: freeimage
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-- name: glew
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-- name: gstreamer
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-- name: harfbuzz
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-- name: hypre
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-- name: importlib_metadata
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-- name: jsonschema-specifications
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-- name: libadios2
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-- name: libnetcdf
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-- name: mdit-py-plugins
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-- name: numpy
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+- name: _openmp_mutex
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.0-py310hb13e2d6_0.conda
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
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   optional: false
-- name: platformdirs
-  version: 3.11.0
+- name: annotated-types
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   manager: conda
   platform: linux-64
   dependencies:
     python: '>=3.7'
-    typing-extensions: '>=4.6.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.11.0-pyhd8ed1ab_0.conda
+    typing-extensions: '>=4.0.0'
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   category: main
   optional: false
-- name: pyqt5-sip
-  version: 12.12.2
+- name: bzip2
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   manager: conda
   platform: linux-64
   dependencies:
+    __glibc: '>=2.17,<3.0.a0'
     libgcc-ng: '>=12'
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-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
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-    toml: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyqt5-sip-12.12.2-py310hc6cd4ac_5.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
   hash:
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   category: main
   optional: false
-- name: requests
-  version: 2.31.0
+- name: ca-certificates
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   manager: conda
   platform: linux-64
-  dependencies:
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-    charset-normalizer: '>=2,<4'
-    idna: '>=2.5,<4'
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-  url: https://conda.anaconda.org/conda-forge/noarch/requests-2.31.0-pyhd8ed1ab_0.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
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   category: main
   optional: false
-- name: rich
-  version: 13.6.0
+- name: ld_impl_linux-64
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   manager: conda
   platform: linux-64
   dependencies:
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-    pygments: '>=2.13.0,<3.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/rich-13.6.0-pyhd8ed1ab_0.conda
+    __glibc: '>=2.17,<3.0.a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_0.conda
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   category: main
   optional: false
-- name: scalapack
-  version: 2.2.0
+- name: libblas
+  version: 3.9.0
   manager: conda
   platform: linux-64
   dependencies:
-    libblas: '>=3.8.0,<4.0a0'
-    libgcc-ng: '>=10.3.0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/scalapack-2.2.0-h67de57e_1.tar.bz2
+    libopenblas: '>=0.3.27,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-24_linux64_openblas.conda
   hash:
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   category: main
   optional: false
-- name: suitesparse
-  version: 5.10.1
+- name: libcblas
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   manager: conda
   platform: linux-64
   dependencies:
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-    libcblas: '>=3.8.0,<4.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/suitesparse-5.10.1-h9e50725_1.tar.bz2
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-24_linux64_openblas.conda
   hash:
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   category: main
   optional: false
-- name: superlu
-  version: 5.2.2
+- name: libexpat
+  version: 2.6.3
   manager: conda
   platform: linux-64
   dependencies:
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-    libcblas: '>=3.9.0,<4.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/superlu-5.2.2-h00795ac_0.tar.bz2
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
   hash:
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   category: main
   optional: false
-- name: superlu_dist
-  version: 7.2.0
+- name: libffi
+  version: 3.4.2
   manager: conda
   platform: linux-64
   dependencies:
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-    libblas: '>=3.8.0,<4.0a0'
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-    parmetis: '>=4.0.3,<4.1.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/superlu_dist-7.2.0-h34f6f4d_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
   hash:
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   category: main
   optional: false
-- name: aiohttp
-  version: 3.8.6
+- name: libgcc
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
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-    async-timeout: <5.0,>=4.0.0a3
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-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.8.6-py310h2372a71_1.conda
+    _libgcc_mutex: '0.1'
+    _openmp_mutex: '>=4.5'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
   hash:
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   category: main
   optional: false
-- name: black
-  version: 23.10.0
+- name: libgcc-ng
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
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-    mypy_extensions: '>=0.4.3'
-    packaging: '>=22.0'
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-    typing_extensions: '>=4.0.1'
-  url: https://conda.anaconda.org/conda-forge/linux-64/black-23.10.0-py310hff52083_0.conda
+    libgcc: 14.1.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
   hash:
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   category: main
   optional: false
-- name: cftime
-  version: 1.6.2
+- name: libgfortran
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   manager: conda
   platform: linux-64
   dependencies:
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-    numpy: '>=1.22.4,<2.0a0'
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-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.2-py310h1f7b6fc_2.conda
+    libgfortran5: 14.1.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
   hash:
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   category: main
   optional: false
-- name: contourpy
-  version: 1.1.1
+- name: libgfortran-ng
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.16'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py310hd41b1e2_1.conda
+    libgfortran: 14.1.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
   hash:
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   category: main
   optional: false
-- name: fenics-basix
-  version: 0.6.0
+- name: libgfortran5
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
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-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: ''
-    pybind11-abi: '4'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/fenics-basix-0.6.0-py310heada3b3_5.conda
+    libgcc: '>=14.1.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
   hash:
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   category: main
   optional: false
-- name: fenics-ufl
-  version: 2023.1.1
+- name: libgomp
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/fenics-ufl-2023.1.1-pyhd8ed1ab_1.conda
+    _libgcc_mutex: '0.1'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
   hash:
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   category: main
   optional: false
-- name: gst-plugins-base
-  version: 1.22.6
+- name: liblapack
+  version: 3.9.0
   manager: conda
   platform: linux-64
   dependencies:
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-    alsa-lib: '>=1.2.10,<1.2.11.0a0'
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-    libzlib: '>=1.2.13,<1.3.0a0'
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-    xorg-libxrender: '>=0.9.11,<0.10.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.22.6-h8e1006c_2.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-24_linux64_openblas.conda
   hash:
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-    sha256: 07e71ef8ad4d1516695132ed142ef6bc6393243fee54f950aa0944561f2f277f
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   category: main
   optional: false
-- name: h5py
-  version: 3.10.0
+- name: libnsl
+  version: 2.0.1
   manager: conda
   platform: linux-64
   dependencies:
-    cached-property: ''
-    hdf5: '>=1.14.2,<1.14.3.0a0'
     libgcc-ng: '>=12'
-    numpy: '>=1.22.4,<2.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/h5py-3.10.0-nompi_py310ha2ad45a_100.conda
-  hash:
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-  category: main
-  optional: false
-- name: jsonschema
-  version: 4.19.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    importlib_resources: '>=1.4.0'
-    jsonschema-specifications: '>=2023.03.6'
-    pkgutil-resolve-name: '>=1.3.10'
-    python: '>=3.8'
-    referencing: '>=0.28.4'
-    rpds-py: '>=0.7.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.19.1-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
   hash:
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   category: main
   optional: false
-- name: libass
-  version: 0.17.1
+- name: libopenblas
+  version: 0.3.27
   manager: conda
   platform: linux-64
   dependencies:
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
-    freetype: '>=2.12.1,<3.0a0'
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-    libexpat: '>=2.5.0,<3.0a0'
     libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.1-h8fe9dca_1.conda
-  hash:
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-  category: main
-  optional: false
-- name: mumps-mpi
-  version: 5.2.1
-  manager: conda
-  platform: linux-64
-  dependencies:
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-    libgcc-ng: '>=10.3.0'
     libgfortran-ng: ''
-    libgfortran5: '>=10.3.0'
-    liblapack: '>=3.8.0,<4.0a0'
-    metis: '>=5.1.0,<5.1.1.0a0'
-    mumps-include: 5.2.1
-    openmpi: '>=4.1.2,<5.0a0'
-    parmetis: '>=4.0.3,<4.1.0a0'
-    ptscotch: '>=6.0.9,<6.0.10.0a0'
-    scalapack: '>=2.2.0,<2.3.0a0'
-    scotch: '>=6.0.9,<6.0.10.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/mumps-mpi-5.2.1-hfb3545b_11.tar.bz2
+    libgfortran5: '>=12.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
   hash:
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   category: main
   optional: false
-- name: scipy
-  version: 1.11.3
+- name: libsqlite
+  version: 3.46.1
   manager: conda
   platform: linux-64
   dependencies:
-    libblas: '>=3.9.0,<4.0a0'
-    libcblas: '>=3.9.0,<4.0a0'
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-    libgfortran5: '>=12.3.0'
-    liblapack: '>=3.9.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.22.4,<2.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.11.3-py310hb13e2d6_1.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    libzlib: '>=1.3.1,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
   hash:
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-    sha256: bb8cdaf0869979ef58b3c10491f235c0fabf0b091e591361d25a4ffd47d6aded
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+    sha256: 9851c049abafed3ee329d6c7c2033407e2fc269d33a75c071110ab52300002b0
   category: main
   optional: false
-- name: fenics-basix-pybind11-abi
-  version: 0.4.12
+- name: libstdcxx
+  version: 14.1.0
   manager: conda
   platform: linux-64
   dependencies:
-    fenics-basix: 0.6.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/fenics-basix-pybind11-abi-0.4.12-heada3b3_5.conda
+    libgcc: 14.1.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
   hash:
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-    sha256: c713144b13d81825ef50a79422764fc282568ec00841affff6aad328b25661b7
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+    sha256: 44decb3d23abacf1c6dd59f3c152a7101b7ca565b4ef8872804ceaedcc53a9cd
   category: main
   optional: false
-- name: fenics-ffcx
-  version: 0.6.0
+- name: libuuid
+  version: 2.38.1
   manager: conda
   platform: linux-64
   dependencies:
-    cffi: ''
-    fenics-basix: 0.6.*
-    fenics-ufl: 2023.1.*
-    numpy: ''
-    python: '>=3.7'
-    setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fenics-ffcx-0.6.0-pyh56297ac_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
   hash:
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-    sha256: facf23ffc9713262992a0f410d67ce9e3a2fa870662211acfe995b579b40569b
+    md5: 40b61aab5c7ba9ff276c41cfffe6b80b
+    sha256: 787eb542f055a2b3de553614b25f09eefb0a0931b0c87dbcce6efdfd92f04f18
   category: main
   optional: false
-- name: ffmpeg
-  version: 6.0.0
+- name: libxcrypt
+  version: 4.4.36
   manager: conda
   platform: linux-64
   dependencies:
-    aom: '>=3.6.1,<3.7.0a0'
-    bzip2: '>=1.0.8,<2.0a0'
-    dav1d: '>=1.2.1,<1.2.2.0a0'
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
-    freetype: '>=2.12.1,<3.0a0'
-    gmp: '>=6.2.1,<7.0a0'
-    gnutls: '>=3.7.8,<3.8.0a0'
-    lame: '>=3.100,<3.101.0a0'
-    libass: '>=0.17.1,<0.17.2.0a0'
     libgcc-ng: '>=12'
-    libopus: '>=1.3.1,<2.0a0'
-    libstdcxx-ng: '>=12'
-    libva: '>=2.20.0,<3.0a0'
-    libvpx: '>=1.13.0,<1.14.0a0'
-    libxml2: '>=2.11.5,<2.12.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openh264: '>=2.3.1,<2.3.2.0a0'
-    svt-av1: '>=1.7.0,<1.7.1.0a0'
-    x264: '>=1!164.3095,<1!165'
-    x265: '>=3.5,<3.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-6.0.0-gpl_h334edf3_105.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
   hash:
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-    sha256: f1f9070190bc189b9ec9034e9d9adbbb530cd25b571c763b33585195c0e13813
+    md5: 5aa797f8787fe7a17d1b0821485b5adc
+    sha256: 6ae68e0b86423ef188196fff6207ed0c8195dd84273cb5623b85aa08033a410c
   category: main
   optional: false
-- name: matplotlib-base
-  version: 3.8.0
+- name: libzlib
+  version: 1.3.1
   manager: conda
   platform: linux-64
   dependencies:
-    certifi: '>=2020.06.20'
-    contourpy: '>=1.0.1'
-    cycler: '>=0.10'
-    fonttools: '>=4.22.0'
-    freetype: '>=2.12.1,<3.0a0'
-    kiwisolver: '>=1.0.1'
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.22.4,<2.0a0'
-    packaging: '>=20.0'
-    pillow: '>=6.2.0'
-    pyparsing: '>=2.3.1'
-    python: '>=3.10,<3.11.0a0'
-    python-dateutil: '>=2.7'
-    python_abi: 3.10.*
-    tk: '>=8.6.13,<8.7.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.0-py310h62c0568_2.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
   hash:
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-    sha256: 220052334fb2b01b5a487ddf6953c1c7713b401cc0faa0898401422799cdcec1
+    md5: 57d7dc60e9325e3de37ff8dffd18e814
+    sha256: adf6096f98b537a11ae3729eaa642b0811478f0ea0402ca67b5108fe2cb0010d
   category: main
   optional: false
-- name: netcdf4
-  version: 1.6.4
+- name: ncurses
+  version: '6.5'
   manager: conda
   platform: linux-64
   dependencies:
-    certifi: ''
-    cftime: ''
-    hdf5: '>=1.14.2,<1.14.3.0a0'
+    __glibc: '>=2.17,<3.0.a0'
     libgcc-ng: '>=12'
-    libnetcdf: '>=4.9.2,<4.9.3.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    numpy: '>=1.22.4,<2.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.6.4-nompi_py310hba70d50_103.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
   hash:
-    md5: 0850d2a119d51601b20c406a4909af4d
-    sha256: 43dd515bc3ba60d9c7ecf21639803c56af967901086f38c919ff7c67271474f6
+    md5: 70caf8bb6cf39a0b6b7efc885f51c0fe
+    sha256: 6a1d5d8634c1a07913f1c525db6455918cbc589d745fac46d9d6e30340c8731a
   category: main
   optional: false
-- name: petsc
-  version: 3.19.6
+- name: numpy
+  version: 2.1.1
   manager: conda
   platform: linux-64
   dependencies:
-    fftw: '>=3.3.10,<4.0a0'
-    hdf5: '>=1.14.2,<1.14.3.0a0'
-    hypre: '>=2.28.0,<2.28.1.0a0'
+    __glibc: '>=2.17,<3.0.a0'
     libblas: '>=3.9.0,<4.0a0'
     libcblas: '>=3.9.0,<4.0a0'
-    libgcc-ng: '>=12'
-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
+    libgcc: '>=13'
     liblapack: '>=3.9.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    metis: '>=5.1.0,<5.2.0a0'
-    mumps-mpi: '>=5.2.1,<5.2.2.0a0'
-    openmpi: '>=4.1.5,<5.0a0'
-    parmetis: '>=4.0.3,<4.1.0a0'
-    ptscotch: '>=6.0.9,<6.0.10.0a0'
-    scalapack: '>=2.2.0,<2.3.0a0'
-    scotch: '>=6.0.9,<6.0.10.0a0'
-    suitesparse: '>=5.10.1,<5.11.0a0'
-    superlu: ''
-    superlu_dist: '>=7.1.1,<8.0a0'
-    yaml: '>=0.2.5,<0.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/petsc-3.19.6-real_hda1ae68_100.conda
+    libstdcxx: '>=13'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
   hash:
-    md5: b3f27fbfaea8e00d1abb10b0f2401ce8
-    sha256: d39fe136656cc6f554b609ad1bf5e0565c2b487aeb7f9b27d71d24a69956950c
+    md5: 839596d1c1c41f6fc01042e12cb7500c
+    sha256: 5d7d73f46d929dba57d96e6ef68506a490c89a2599514575c3e33b031e62b244
   category: main
   optional: false
-- name: qt-main
-  version: 5.15.8
+- name: openssl
+  version: 3.3.2
   manager: conda
   platform: linux-64
   dependencies:
     __glibc: '>=2.17,<3.0.a0'
-    alsa-lib: '>=1.2.10,<1.2.11.0a0'
-    dbus: '>=1.13.6,<2.0a0'
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
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-    gstreamer: '>=1.22.5,<1.23.0a0'
-    harfbuzz: '>=8.2.0,<9.0a0'
-    icu: '>=73.2,<74.0a0'
-    krb5: '>=1.21.2,<1.22.0a0'
-    libclang: '>=15.0.7,<16.0a0'
-    libclang13: '>=15.0.7'
-    libcups: '>=2.3.3,<2.4.0a0'
-    libevent: '>=2.1.12,<2.1.13.0a0'
-    libexpat: '>=2.5.0,<3.0a0'
-    libgcc-ng: '>=12'
-    libglib: '>=2.78.0,<3.0a0'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    libpng: '>=1.6.39,<1.7.0a0'
-    libpq: '>=15.4,<16.0a0'
-    libsqlite: '>=3.43.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    libxcb: '>=1.15,<1.16.0a0'
-    libxkbcommon: '>=1.5.0,<2.0a0'
-    libxml2: '>=2.11.5,<2.12.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    mysql-libs: '>=8.0.33,<8.1.0a0'
-    nspr: '>=4.35,<5.0a0'
-    nss: '>=3.92,<4.0a0'
-    openssl: '>=3.1.2,<4.0a0'
-    pulseaudio-client: '>=16.1,<16.2.0a0'
-    xcb-util: '>=0.4.0,<0.5.0a0'
-    xcb-util-image: '>=0.4.0,<0.5.0a0'
-    xcb-util-keysyms: '>=0.4.0,<0.5.0a0'
-    xcb-util-renderutil: '>=0.3.9,<0.4.0a0'
-    xcb-util-wm: '>=0.4.1,<0.5.0a0'
-    xorg-libice: '>=1.1.1,<2.0a0'
-    xorg-libsm: '>=1.2.4,<2.0a0'
-    xorg-libx11: '>=1.8.6,<2.0a0'
-    xorg-libxext: '>=1.3.4,<2.0a0'
-    xorg-xf86vidmodeproto: ''
-    zstd: '>=1.5.5,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/qt-main-5.15.8-hc47bfe8_16.conda
+    ca-certificates: ''
+    libgcc: '>=13'
+  url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
   hash:
-    md5: a8dd2dfcd570e3965c73be6c5e03e74f
-    sha256: 18dc29e725b620ec857368b40f07c41fd360b6c4071f83b67112eabfc087e8f1
+    md5: 4d638782050ab6faa27275bed57e9b4e
+    sha256: cee91036686419f6dd6086902acf7142b4916e1c4ba042e9ca23e151da012b6d
   category: main
   optional: false
-- name: wslink
-  version: 1.12.3
+- name: pip
+  version: '24.2'
   manager: conda
   platform: linux-64
   dependencies:
-    aiohttp: <4
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/wslink-1.12.3-pyhd8ed1ab_0.conda
+    python: '>=3.8,<3.13.0a0'
+    setuptools: ''
+    wheel: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/pip-24.2-pyh8b19718_1.conda
   hash:
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-    sha256: 638a5cfd213217ef59af935d6c12f60a848adfa1d0cd22471f4fa6bc113b419c
+    md5: 6c78fbb8ddfd64bcb55b5cbafd2d2c43
+    sha256: d820e5358bcb117fa6286e55d4550c60b0332443df62121df839eab2d11c890b
   category: main
   optional: false
-- name: meshio
-  version: 5.3.4
+- name: pydantic
+  version: 2.9.2
   manager: conda
   platform: linux-64
   dependencies:
-    h5py: ''
-    importlib_metadata: ''
-    netcdf4: ''
-    numpy: ''
+    annotated-types: '>=0.6.0'
+    pydantic-core: 2.23.4
     python: '>=3.7'
-    rich: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/meshio-5.3.4-pyhd8ed1ab_0.tar.bz2
-  hash:
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-    sha256: ca3f103cbf8f3f999771cc178b4e8ae5ea458a67a79fdb6bbc7b364bd232c86e
-  category: main
-  optional: false
-- name: petsc4py
-  version: 3.19.6
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
-    numpy: '>=1.22.4,<2.0a0'
-    openmpi: '>=4.1.6,<5.0a0'
-    petsc: '>=3.19.6,<3.20.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/petsc4py-3.19.6-real_hd44ebbc_100.conda
-  hash:
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-    sha256: 1696dcd78085e7c2a73be6a8d6b1aa7d6c784469c995dd3d9c130d6cc3dbb823
-  category: main
-  optional: false
-- name: pyqt
-  version: 5.15.9
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    pyqt5-sip: 12.12.2
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    qt-main: '>=5.15.8,<5.16.0a0'
-    sip: '>=6.7.11,<6.8.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.9-py310h04931ad_5.conda
+    typing-extensions: '>=4.6.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.9.2-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 92fe1c9eda6be7879ba798066016c1065047cc13d730105f5109835cbfeae8f1
+    md5: 1eb533bb8eb2199e3fef3e4aa147319f
+    sha256: 1b7b0dc9f6af4da156bf22b0263be70829364a08145c696d3670facff2f6441a
   category: main
   optional: false
-- name: slepc
-  version: 3.19.2
+- name: pydantic-core
+  version: 2.23.4
   manager: conda
   platform: linux-64
   dependencies:
-    libblas: '>=3.9.0,<4.0a0'
-    libcblas: '>=3.9.0,<4.0a0'
-    libgcc-ng: '>=12'
-    libgfortran-ng: ''
-    libgfortran5: '>=12.3.0'
-    liblapack: '>=3.9.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    openmpi: '>=4.1.5,<5.0a0'
-    petsc: '>=3.19.5,<3.20.0a0'
-    suitesparse: '>=5.10.1,<5.11.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/slepc-3.19.2-real_h3d00a72_100.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
+    python: '>=3.12,<3.13.0a0'
+    python_abi: 3.12.*
+    typing-extensions: '>=4.6.0,!=4.7.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.23.4-py312h12e396e_0.conda
   hash:
-    md5: 3e8e7a314aff0311a40165f2c70fd0e5
-    sha256: 416a05c441c97ecf1ed04b9e6c6a5ac57ed99127896d4c29ec29d9c4fdea8576
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+    sha256: 365fde689865087b2a9da636f36678bd59617b324ce7a538b4806e90602b20f1
   category: main
   optional: false
-- name: vtk-base
-  version: 9.2.6
+- name: python
+  version: 3.12.6
   manager: conda
   platform: linux-64
   dependencies:
-    double-conversion: '>=3.3.0,<3.4.0a0'
-    eigen: ''
-    expat: ''
-    freetype: '>=2.12.1,<3.0a0'
-    gl2ps: '>=1.4.2,<1.4.3.0a0'
-    glew: '>=2.1.0,<2.2.0a0'
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-    jsoncpp: '>=1.9.5,<1.9.6.0a0'
-    libexpat: '>=2.5.0,<3.0a0'
-    libgcc-ng: '>=12'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    libnetcdf: '>=4.9.2,<4.9.3.0a0'
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-    libpng: '>=1.6.39,<1.7.0a0'
-    libsqlite: '>=3.43.0,<4.0a0'
-    libstdcxx-ng: '>=12'
-    libtheora: '>=1.1.1,<1.2.0a0'
-    libtiff: '>=4.6.0,<4.7.0a0'
+    __glibc: '>=2.17,<3.0.a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    ld_impl_linux-64: '>=2.36.1'
+    libexpat: '>=2.6.3,<3.0a0'
+    libffi: '>=3.4,<4.0a0'
+    libgcc: '>=13'
+    libnsl: '>=2.0.1,<2.1.0a0'
+    libsqlite: '>=3.46.1,<4.0a0'
     libuuid: '>=2.38.1,<3.0a0'
-    libxcb: '>=1.15,<1.16.0a0'
-    libxml2: '>=2.11.5,<2.12.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    loguru: ''
-    lz4-c: '>=1.9.3,<1.10.0a0'
-    nlohmann_json: ''
-    numpy: ''
-    proj: '>=9.3.0,<9.3.1.0a0'
-    pugixml: '>=1.13,<1.14.0a0'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    qt-main: '>=5.15.8,<5.16.0a0'
-    sqlite: ''
-    tbb: '>=2021.10.0'
-    tbb-devel: ''
+    libxcrypt: '>=4.4.36'
+    libzlib: '>=1.3.1,<2.0a0'
+    ncurses: '>=6.5,<7.0a0'
+    openssl: '>=3.3.2,<4.0a0'
+    readline: '>=8.2,<9.0a0'
     tk: '>=8.6.13,<8.7.0a0'
-    utfcpp: ''
-    wslink: ''
-    xorg-libice: '>=1.1.1,<2.0a0'
-    xorg-libsm: '>=1.2.4,<2.0a0'
-    xorg-libx11: '>=1.8.6,<2.0a0'
-    xorg-libxau: '>=1.0.11,<2.0a0'
-    xorg-libxext: '>=1.3.4,<2.0a0'
-    xorg-libxt: '>=1.3.0,<2.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/vtk-base-9.2.6-qt_py310h1234567_216.conda
-  hash:
-    md5: a82dff490dfa22dfd106e5165e2a76f9
-    sha256: ff6b260e12ed9a15c735d5048ab1ef0f4b5b62a5888a27b3c74465cb5158ee1d
-  category: main
-  optional: false
-- name: fenics-libdolfinx
-  version: 0.6.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    fenics-libbasix: '>=0.6.0,<0.6.1.0a0'
-    fenics-ufcx: '>=0.6.0,<0.6.1.0a0'
-    hdf5: '>=1.14.2,<1.14.3.0a0'
-    kahip: '>=3.15,<3.16.0a0'
-    libadios2: '>=2.9.1,<2.9.2.0a0'
-    libboost: '>=1.82.0,<1.83.0a0'
-    libboost-devel: ''
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    openmpi: '>=4.1.5,<5.0a0'
-    parmetis: '>=4.0.3,<4.1.0a0'
-    petsc: '>=3.19.6,<3.20.0a0'
-    ptscotch: '>=6.0.9,<6.0.10.0a0'
-    pugixml: '>=1.13,<1.14.0a0'
-    slepc: '>=3.19.2,<3.20.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/fenics-libdolfinx-0.6.0-hd8a4704_109.conda
-  hash:
-    md5: a4269c1bd85b6ecd8db71ba80abd3da0
-    sha256: eeebe1fa79f9653a17ac192f00bca2f574cee6f8ac0ce2ea6eba9d80b8a738a8
-  category: main
-  optional: false
-- name: matplotlib
-  version: 3.8.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    matplotlib-base: '>=3.8.0,<3.8.1.0a0'
-    pyqt: '>=5.10'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    tornado: '>=5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.8.0-py310hff52083_2.conda
-  hash:
-    md5: cda26b4d722d7319ce66df50332ff09b
-    sha256: 7262fdcd2974ab6aa864524c48703a81dc1c7891a5180da3cc3a72abafd2fc9b
-  category: main
-  optional: false
-- name: slepc4py
-  version: 3.19.2
-  manager: conda
-  platform: linux-64
-  dependencies:
-    libgcc-ng: '>=12'
-    numpy: '>=1.22.4,<2.0a0'
-    openmpi: '>=4.1.5,<5.0a0'
-    petsc: '>=3.19.5,<3.20.0a0'
-    petsc4py: 3.19.*
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    slepc: '>=3.19.2,<3.20.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/slepc4py-3.19.2-real_hf1ee65d_101.conda
+    tzdata: ''
+    xz: '>=5.2.6,<6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.6-hc5c86c4_1_cpython.conda
   hash:
-    md5: c76368df8c4d20c30c4b6749641fdc42
-    sha256: 23bca2db1bc84e1d4842f56baaadc3bde795d9489190e0ec0565bab7a7bf39e8
+    md5: 00836baacdca254f28c54d2543e97514
+    sha256: abae02ac635147181e6b7d4b3c8fde89d298d354ed23576853b86bc1384c50f6
   category: main
   optional: false
-- name: vtk-io-ffmpeg
-  version: 9.2.6
+- name: python_abi
+  version: '3.12'
   manager: conda
   platform: linux-64
-  dependencies:
-    ffmpeg: '>=6.0.0,<7.0a0'
-    vtk-base: 9.2.6
-  url: https://conda.anaconda.org/conda-forge/linux-64/vtk-io-ffmpeg-9.2.6-qt_py310h1234567_216.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
   hash:
-    md5: d9a5e5dc290dd038bf958f6a48772530
-    sha256: 00d47cb873f3de378e1b142d186d728e281f9d3cf87508125dadca9298f089f8
+    md5: 0424ae29b104430108f5218a66db7260
+    sha256: d10e93d759931ffb6372b45d65ff34d95c6000c61a07e298d162a3bc2accebb0
   category: main
   optional: false
-- name: fenics-dolfinx
-  version: 0.6.0
+- name: readline
+  version: '8.2'
   manager: conda
   platform: linux-64
   dependencies:
-    cffi: ''
-    fenics-basix: 0.6.*
-    fenics-basix-pybind11-abi: 0.4.12
-    fenics-ffcx: 0.6.*
-    fenics-libdolfinx: 0.6.0
-    fenics-ufl: 2023.1.*
-    gxx_linux-64: 12.*
-    hdf5: '>=1.14.2,<1.14.3.0a0'
-    kahip-python: ''
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    mpi4py: ''
-    numpy: ''
-    openmpi: '>=4.1.5,<5.0a0'
-    petsc: '>=3.19.6,<3.20.0a0'
-    petsc4py: ''
-    pkg-config: ''
-    pybind11-abi: '4'
-    python: '>=3.10,<3.11.0a0'
-    python_abi: 3.10.*
-    slepc: '>=3.19.2,<3.20.0a0'
-    slepc4py: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/fenics-dolfinx-0.6.0-py310hf26a831_109.conda
-  hash:
-    md5: 4956a7cc80be6c26f341aaa39d2bc99a
-    sha256: 2f2e1dca7e1b7773def590ac451f55de00715ad660eacc2c0ad63d95c3fd319a
-  category: main
-  optional: false
-- name: vtk
-  version: 9.2.6
-  manager: conda
-  platform: linux-64
-  dependencies:
-    vtk-base: 9.2.6
-    vtk-io-ffmpeg: 9.2.6
-  url: https://conda.anaconda.org/conda-forge/linux-64/vtk-9.2.6-qt_py310h1234567_216.conda
+    ncurses: '>=6.3,<7.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
   hash:
-    md5: 28c1d6fdf662ae0b1eb45945da7b9a81
-    sha256: 7bac072a71e4a27af1d5e9c8d2caccaccc0138547738b9088dc34291934163de
+    md5: 47d31b792659ce70f470b5c82fdfb7a4
+    sha256: 5435cf39d039387fbdc977b0a762357ea909a7694d9528ab40f005e9208744d7
   category: main
   optional: false
-- name: occt
-  version: 7.7.2
+- name: setuptools
+  version: 75.1.0
   manager: conda
   platform: linux-64
   dependencies:
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
-    freeimage: '>=3.18.0,<3.19.0a0'
-    freetype: '>=2.12.1,<3.0a0'
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    rapidjson: ''
-    vtk: '>=9.2.6,<9.2.7.0a0'
-    xorg-libxt: '>=1.3.0,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/occt-7.7.2-all_h4c9f3c6_201.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.1.0-pyhd8ed1ab_0.conda
   hash:
-    md5: c3433e65219e92395cba0cc048a45746
-    sha256: 6d5d4358b3022387c8ea43345d346594e0576d8ad1d8976f938801b4d355114c
+    md5: d5cd48392c67fb6849ba459c2c2b671f
+    sha256: 6725235722095c547edd24275053c615158d6163f396550840aebd6e209e4738
   category: main
   optional: false
-- name: gmsh
-  version: 4.11.1
+- name: tk
+  version: 8.6.13
   manager: conda
   platform: linux-64
   dependencies:
-    cairo: '>=1.16.0,<2.0a0'
-    fltk: '>=1.3.8,<1.4.0a0'
-    gmp: '>=6.2.1,<7.0a0'
-    libblas: '>=3.9.0,<4.0a0'
     libgcc-ng: '>=12'
-    libglu: ''
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    liblapack: '>=3.9.0,<4.0a0'
-    libpng: '>=1.6.39,<1.7.0a0'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    occt: '>=7.7.2,<7.8.0a0'
-    xorg-libx11: '>=1.8.6,<2.0a0'
-    xorg-libxext: '>=1.3.4,<2.0a0'
-    xorg-libxfixes: ''
-    xorg-libxmu: ''
-    xorg-libxrender: '>=0.9.11,<0.10.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/gmsh-4.11.1-h22e7e47_4.conda
+    libzlib: '>=1.2.13,<2.0.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
   hash:
-    md5: 1d1b8525e1f0a535f77892e03c0a3917
-    sha256: 27f42074ad8e649f86d0ffca1d4ce8b819cd07df2936ae5fe84881054c217fa0
+    md5: d453b98d9c83e71da0741bb0ff4d76bc
+    sha256: e0569c9caa68bf476bead1bed3d79650bb080b532c64a4af7d8ca286c08dea4e
   category: main
   optional: false
-- name: python-gmsh
-  version: 4.11.1
+- name: typing-extensions
+  version: 4.12.2
   manager: conda
   platform: linux-64
   dependencies:
-    gmsh: '>=4.11.1,<4.11.2.0a0'
-    numpy: ''
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/python-gmsh-4.11.1-h57928b3_4.conda
+    typing_extensions: 4.12.2
+  url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
   hash:
-    md5: d6cd94a9b194e06eb59b1ce6e5464e24
-    sha256: cd832f13039fb46b319232b4fea305c9413d9a46fe9fb3127b7f053134be614b
+    md5: 52d648bd608f5737b123f510bb5514b5
+    sha256: d3b9a8ed6da7c9f9553c5fd8a4fca9c3e0ab712fa5f497859f82337d67533b73
   category: main
   optional: false
-- name: myst-parser
-  version: 2.0.0
+- name: typing_extensions
+  version: 4.12.2
   manager: conda
   platform: linux-64
   dependencies:
-    docutils: '>=0.16,<0.21'
-    jinja2: ''
-    markdown-it-py: '>=3.0.0,<4.0.0'
-    mdit-py-plugins: '>=0.4,<1'
     python: '>=3.8'
-    pyyaml: ''
-    sphinx: '>=6,<8'
-  url: https://conda.anaconda.org/conda-forge/noarch/myst-parser-2.0.0-pyhd8ed1ab_0.conda
-  hash:
-    md5: 70699181909e468875f12076e1b0a8a9
-    sha256: 59cdc52d9875f623a4df82896d80f304e436138f8410cbef969a7e4452c6bab7
-  category: main
-  optional: false
-- name: sphinx-gallery
-  version: 0.14.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    matplotlib-base: ''
-    pillow: ''
-    python: '>=3'
-    sphinx: '>=1.8.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-gallery-0.14.0-pyhd8ed1ab_0.conda
-  hash:
-    md5: b3788794f88c9512393032e448428261
-    sha256: d9421604023b36e336496bb03461414cd07ced3514ed15c1d9f598178fb9d86e
-  category: main
-  optional: false
-- name: sphinxcontrib-applehelp
-  version: 1.0.7
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.9'
-    sphinx: '>=5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-1.0.7-pyhd8ed1ab_0.conda
-  hash:
-    md5: aebfabcb60c33a89c1f9290cab49bc93
-    sha256: 67e2b386c7b3c858ead88fa71fe4fa5eb1f4f59d7994d167b3910a744db392d3
-  category: main
-  optional: false
-- name: sphinxcontrib-devhelp
-  version: 1.0.5
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.9'
-    sphinx: '>=5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-1.0.5-pyhd8ed1ab_0.conda
-  hash:
-    md5: ebf08f5184d8eaa486697bc060031953
-    sha256: 770e13ebfef321426c09ec51d95c57755512db160518b2922a4337546ee51672
-  category: main
-  optional: false
-- name: sphinxcontrib-htmlhelp
-  version: 2.0.4
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.9'
-    sphinx: '>=5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.0.4-pyhd8ed1ab_0.conda
-  hash:
-    md5: a9a89000dfd19656ad004b937eeb6828
-    sha256: 5f09cd4a08a6c194c11999871a8c7cedc2cd7edd9ff7ceb6f0667b6698be4cc5
-  category: main
-  optional: false
-- name: sphinxcontrib-jquery
-  version: '4.1'
-  manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=2.7'
-    sphinx: '>=1.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jquery-4.1-pyhd8ed1ab_0.conda
-  hash:
-    md5: 914897066d5873acfb13e75705276ad1
-    sha256: 2e5f16a2d58f9a31443ffbb8ce3852cfccf533a6349045828cd2e994ef0679ca
-  category: main
-  optional: false
-- name: sphinx_rtd_theme
-  version: 1.3.0
-  manager: conda
-  platform: linux-64
-  dependencies:
-    docutils: <0.19
-    python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*'
-    sphinx: '>=1.6,<8'
-    sphinxcontrib-jquery: '>=4,<5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx_rtd_theme-1.3.0-pyha770c72_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
   hash:
-    md5: a615c369167e508293d8409973b34863
-    sha256: 1288aac6167e320b576d89855262f05b1903e446c3dfc92cc67b12b39fb62502
+    md5: ebe6952715e1d5eb567eeebf25250fa7
+    sha256: 0fce54f8ec3e59f5ef3bb7641863be4e1bf1279623e5af3d3fa726e8f7628ddb
   category: main
   optional: false
-- name: sphinxcontrib-qthelp
-  version: 1.0.6
+- name: tzdata
+  version: 2024a
   manager: conda
   platform: linux-64
-  dependencies:
-    python: '>=3.9'
-    sphinx: '>=5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-1.0.6-pyhd8ed1ab_0.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
   hash:
-    md5: cf5c9649272c677a964a7313279e3a9b
-    sha256: 9ba5cea9cbab64106e8b5a9b19add855dcb52b8fbb1674398c715bccdbc04471
+    md5: 8bfdead4e0fff0383ae4c9c50d0531bd
+    sha256: 7d21c95f61319dba9209ca17d1935e6128af4235a67ee4e57a00908a1450081e
   category: main
   optional: false
-- name: sphinx
-  version: 7.2.6
+- name: wheel
+  version: 0.44.0
   manager: conda
   platform: linux-64
   dependencies:
-    alabaster: '>=0.7,<0.8'
-    babel: '>=2.9'
-    colorama: '>=0.4.5'
-    docutils: '>=0.18.1,<0.21'
-    imagesize: '>=1.3'
-    importlib-metadata: '>=4.8'
-    jinja2: '>=3.0'
-    packaging: '>=21.0'
-    pygments: '>=2.14'
-    python: '>=3.9'
-    requests: '>=2.25.0'
-    snowballstemmer: '>=2.0'
-    sphinxcontrib-applehelp: ''
-    sphinxcontrib-devhelp: ''
-    sphinxcontrib-htmlhelp: '>=2.0.0'
-    sphinxcontrib-jsmath: ''
-    sphinxcontrib-qthelp: ''
-    sphinxcontrib-serializinghtml: '>=1.1.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-7.2.6-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda
   hash:
-    md5: bbfd1120d1824d2d073bc65935f0e4c0
-    sha256: 665d1fe6d20c6cc672ff20e6ebb405860f878b487d3d8d86a5952733fb7bbc42
+    md5: d44e3b085abcaef02983c6305b84b584
+    sha256: d828764736babb4322b8102094de38074dedfc71f5ff405c9dfee89191c14ebc
   category: main
   optional: false
-- name: sphinxcontrib-serializinghtml
-  version: 1.1.9
+- name: xz
+  version: 5.2.6
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.9'
-    sphinx: '>=5'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.9-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
   hash:
-    md5: 0612e497d7860728f2cda421ea2aec09
-    sha256: c5710ae7bb7465f25a29cc845d9fb6ad0ea561972d796d379fcb48d801e96d6d
+    md5: 2161070d867d1b1204ea749c8eec4ef0
+    sha256: 03a6d28ded42af8a347345f82f3eebdd6807a08526d47899a42d62d319609162
   category: main
   optional: false
diff --git a/environment.yml b/environment.yml
index cf458a6..325cf79 100644
--- a/environment.yml
+++ b/environment.yml
@@ -4,29 +4,8 @@ channels:
 dependencies:
   - python>=3.10
   # runtime
-  - fenics-dolfinx=0.6.0
-  - mpi4py=3.1.4
-  - scipy
-  - pint
-  - matplotlib
-  - python-gmsh=4.11.1
-  - meshio=5.3.4
-  - jsonschema
-  # tests
-  - pytest
-  - coverage
-  - toml
-  # docs
-  - sphinx
-  - sphinx-gallery
-  - myst-parser
-  - sphinx_rtd_theme
-  # environment
-  - conda-ecosystem-user-package-isolation
-  # formatting
-  - black
-  - isort
-  - pip
+  - pydantic
+  - numpy
   - pip:
     - -e .
 
diff --git a/src/fenicsxconcrete/bcs.py b/src/fenicsxconcrete/bcs.py
new file mode 100644
index 0000000..2bee60e
--- /dev/null
+++ b/src/fenicsxconcrete/bcs.py
@@ -0,0 +1,36 @@
+
+from pydantic import ConfigDict, RootModel
+from pydantic.dataclasses import dataclass
+from pydantic.types import conlist
+from typing import Callable, NewType
+import numpy as np
+
+Marker = NewType('Marker', int)
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class DirichletBCDefinition:
+    """
+    Definition of a time- and position-dependent Dirichlet boundary condition.
+    Note that functions cannot be serialized to JSON!
+    """
+    marker: Marker | list[float] | Callable[[np.ndarray], np.ndarray]
+    value: conlist(float, min_length=1, max_length=3) | Callable[[np.ndarray, float], np.ndarray]
+    subspace: int | None
+    variable: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class NeumannBCDefinition:
+    """
+    Definition of a time- and position-dependent Neumann boundary condition.
+    """
+    marker: Marker
+    value: conlist(float, min_length=1, max_length=3) | Callable[[np.ndarray, float], np.ndarray] 
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class BodyForceDefinition:
+    value: conlist(float, min_length=1, max_length=3)
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class InitialConditionDefinition:
+    value: list[float]
+    variable: str
diff --git a/src/fenicsxconcrete/boundary_conditions/__init__.py b/src/fenicsxconcrete/boundary_conditions/__init__.py
deleted file mode 100644
index f2e7f22..0000000
--- a/src/fenicsxconcrete/boundary_conditions/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from .bcs import BoundaryConditions, get_boundary_dofs
-from .boundary import _show_marked, create_facet_tags, line_at, plane_at, point_at, to_floats, within_range
diff --git a/src/fenicsxconcrete/boundary_conditions/bcs.py b/src/fenicsxconcrete/boundary_conditions/bcs.py
deleted file mode 100644
index 4f58c4e..0000000
--- a/src/fenicsxconcrete/boundary_conditions/bcs.py
+++ /dev/null
@@ -1,217 +0,0 @@
-"""Easy definition of Dirichlet and Neumann BCs."""
-
-from collections.abc import Callable
-
-import dolfinx
-import numpy as np
-import ufl
-
-from fenicsxconcrete.util import LogMixin
-
-
-def get_boundary_dofs(V: dolfinx.fem.FunctionSpace, marker: Callable) -> np.ndarray:
-    """Returns dofs on the boundary specified by geometrical `marker`.
-
-    Args:
-        V: function space
-        marker: marker function
-
-    Returns:
-        dofs on the boundary specified by geometrical `marker`
-    """
-
-    domain = V.mesh
-    tdim = domain.topology.dim
-    fdim = tdim - 1
-    entities = dolfinx.mesh.locate_entities_boundary(domain, fdim, marker)
-    dofs = dolfinx.fem.locate_dofs_topological(V, fdim, entities)
-    g = dolfinx.fem.Function(V)
-    bc = dolfinx.fem.dirichletbc(g, dofs)
-    dof_indices = bc.dof_indices()[0]
-    return dof_indices
-
-
-# adapted version of MechanicsBCs by Thomas Titscher
-class BoundaryConditions(LogMixin):
-    """Handles Dirichlet and Neumann boundary conditions.
-
-    Attributes:
-        domain: The computational domain.
-        V: The finite element space.
-    """
-
-    def __init__(
-        self,
-        domain: dolfinx.mesh.Mesh,
-        space: dolfinx.fem.FunctionSpace,
-        facet_tags: np.ndarray | None = None,
-    ) -> None:
-        """Initializes the instance based on domain and FE space.
-
-        It sets up lists to hold the Dirichlet and Neumann BCs
-        as well as the required `ufl` objects to define Neumann
-        BCs if `facet_tags` is not None.
-
-        Args:
-            domain: The computational domain.
-            space: The finite element space.
-            facet_tags: The mesh tags defining boundaries.
-        """
-
-        self.domain = domain
-        self.V = space
-
-        # create connectivity
-        tdim = domain.topology.dim
-        fdim = tdim - 1
-        domain.topology.create_connectivity(fdim, tdim)
-
-        # list of dirichlet boundary conditions
-        self._bcs = []
-
-        # handle facets and measure for neumann bcs
-        self._neumann_bcs = []
-        self._facet_tags = facet_tags
-        self._ds = ufl.Measure("ds", domain=domain, subdomain_data=facet_tags)
-        self._v = ufl.TestFunction(space)
-
-    def add_dirichlet_bc(
-        self,
-        value: (
-            dolfinx.fem.Function | dolfinx.fem.Constant | dolfinx.fem.DirichletBCMetaClass | np.ndarray | Callable
-        ),
-        boundary: int | np.ndarray | Callable | None = None,
-        sub: int = None,
-        method: str = "topological",
-        entity_dim: int | None = None,
-    ) -> None:
-        """Adds a Dirichlet bc.
-
-        Args:
-            value: Anything that *might* be used to define the Dirichlet function.
-                    It can be a `Function`, a `Callable` which is then interpolated
-                    or an already existing Dirichlet BC, or ... (see type hint).
-            boundary: The part of the boundary whose dofs should be constrained.
-                    This can be a callable defining the boundary geometrically or
-                    an array of entity tags or an integer marking the boundary if
-                    `facet_tags` is not None.
-            sub: If `sub` is not None the subspace `V.sub(sub)` will be
-                    constrained.
-            method: A hint which method should be used to locate the dofs.
-                    Choices: 'topological' or 'geometrical'.
-            entity_dim: The dimension of the entities to be located
-                        topologically. Note that `entity_dim` is required if `sub`
-                        is not None and `method=geometrical`.
-        """
-        if isinstance(value, dolfinx.fem.DirichletBCMetaClass):
-            self._bcs.append(value)
-        else:
-            assert method in ("topological", "geometrical")
-            V = self.V.sub(sub) if sub is not None else self.V
-
-            # if sub is not None and method=="geometrical"
-            # dolfinx.fem.locate_dofs_geometrical(V, boundary) will raise a RuntimeError
-            # because dofs of a subspace cannot be tabulated
-            topological = method == "topological" or sub is not None
-
-            if topological:
-                assert entity_dim is not None
-
-                if isinstance(boundary, int):
-                    try:
-                        facets = self._facet_tags.find(boundary)
-                    except AttributeError:
-                        raise AttributeError("There are no facet tags defined!")
-                    if facets.size < 1:
-                        raise ValueError(f"Not able to find facets tagged with value {boundary=}.")
-                elif isinstance(boundary, np.ndarray):
-                    facets = boundary
-                else:
-                    facets = dolfinx.mesh.locate_entities_boundary(self.domain, entity_dim, boundary)
-
-                dofs = dolfinx.fem.locate_dofs_topological(V, entity_dim, facets)
-            else:
-                dofs = dolfinx.fem.locate_dofs_geometrical(V, boundary)
-
-            try:
-                bc = dolfinx.fem.dirichletbc(value, dofs, V)
-            except TypeError:
-                # value is Function and V cannot be passed
-                # TODO understand 4th constructor
-                # see dolfinx/fem/bcs.py line 127
-                bc = dolfinx.fem.dirichletbc(value, dofs)
-            except AttributeError:
-                # value has no Attribute `dtype`
-                f = dolfinx.fem.Function(V)
-                f.interpolate(value)
-                bc = dolfinx.fem.dirichletbc(f, dofs)
-
-            self._bcs.append(bc)
-
-    def add_neumann_bc(self, marker: int, value: dolfinx.fem.Constant) -> None:
-        """Adds a Neumann BC.
-
-        Args:
-            marker: The id of the boundary where Neumann BC should be applied.
-            value: The Neumann data, e.g. a traction vector. This has
-              to be a valid `ufl` object.
-        """
-        if marker not in self._facet_tags.values:
-            raise ValueError(f"No facet tags defined for {marker=}.")
-
-        self._neumann_bcs.append([value, marker])
-
-    @property
-    def has_neumann(self) -> bool:
-        """check if Neumann BCs are defined
-
-        Returns:
-            True or False
-        """
-        return len(self._neumann_bcs) > 0
-
-    @property
-    def has_dirichlet(self) -> bool:
-        """check if Dirichlet BCs are defined
-
-        Returns:
-            True or False
-        """
-        return len(self._bcs) > 0
-
-    @property
-    def bcs(self) -> list[dolfinx.fem.DirichletBCMetaClass]:
-        """returns the list of Dirichlet BCs
-
-        Returns:
-            The list of Dirichlet BCs.
-        """
-
-        return self._bcs
-
-    def clear(self, dirichlet: bool = True, neumann: bool = True) -> None:
-        """Clears list of Dirichlet and/or Neumann BCs.
-
-        Args:
-            dirichlet: flag for Dirichlet Bcs (if true will clear those)
-            neumann: flag for Neumann Bcs (if true will clear those)
-
-        """
-
-        if dirichlet:
-            self._bcs.clear()
-        if neumann:
-            self._neumann_bcs.clear()
-
-    @property
-    def neumann_bcs(self) -> ufl.form.Form:
-        """creates the ufl form of (sum of) Neumann BCs
-
-        Returns:
-            A ufl object representing Neumann BCs
-        """
-
-        r = 0
-        for expression, marker in self._neumann_bcs:
-            r += ufl.inner(expression, self._v) * self._ds(marker)
-        return r
diff --git a/src/fenicsxconcrete/boundary_conditions/boundary.py b/src/fenicsxconcrete/boundary_conditions/boundary.py
deleted file mode 100644
index d2e826e..0000000
--- a/src/fenicsxconcrete/boundary_conditions/boundary.py
+++ /dev/null
@@ -1,271 +0,0 @@
-"""Easy definition of boundaries."""
-
-import typing
-from collections.abc import Callable
-
-import dolfinx
-import numpy as np
-
-"""Design
-
-old dolfin:
-    here on needed a SubDomain object that defined the boundary geometrically.
-    SubDomain could then be passed to DirichletBC.
-    Therefore, fenics_helpers.boundary was used to conveniently define
-    boundaries geometrically (would return a SubDomain).
-
-dolfinx:
-    input to dirichletbc is now:
-        1. (Function, array)
-        2. ([Constant, array], array, FunctionSpace)
-    The array are the boundary_dofs which are determined via
-    `locate_dofs_topological` or `locate_dofs_geometrical`.
-
-    Thus, multi.boundary could provide functions to:
-        (a) define callables that define complex geometry as input to
-            locate_dofs_geometrical.
-        (b) define functions that compute entities of the mesh and pass
-            this array to locate_dofs_topological.
-
-    (b) might use dolfinx.mesh.locate_entities and
-        dolfinx.mesh.locate_entities_boundary
-
-    Args:
-        mesh: dolfinx.mesh.Mesh
-        dim: tdim of the entities
-        marker: function that takes an array of points x and
-                returns an array of booleans
-
-    --> therefore, use of locate_dofs_topological again boils down
-        to a geometrical description of the boundary to be defined.
-        The only difference is the possibility to filter wrt the tdim.
-        (this is not possible with locate_dofs_geometrical)
-
-"""
-
-
-def plane_at(coordinate: float, dim: str | int) -> Callable:
-    """Defines a plane where `x[dim]` equals `coordinate`.
-
-    Args:
-        coordinate: value
-        dim: dimension
-
-    Returns:
-        function defining the boundary
-    """
-
-    if dim in ["x", "X"]:
-        dim = 0
-    if dim in ["y", "Y"]:
-        dim = 1
-    if dim in ["z", "Z"]:
-        dim = 2
-
-    assert dim in (0, 1, 2)
-
-    def boundary(x):
-        return np.isclose(x[dim], coordinate)
-
-    return boundary
-
-
-def line_at(coordinates: list[float], dims: list[str | int]) -> Callable:
-    """Defines a line where `x[dims[0]]` equals `coordinates[0]` and `x[dims[1]]` equals `coordinates[1]`.
-
-    Args:
-        coordinates: list of values
-        dims: list of dimension
-
-    Returns:
-        function defining the boundary
-    """
-
-    assert len(coordinates) == 2
-    assert len(dims) == 2
-
-    # transform x,y,z str into integer
-    for i, dim in enumerate(dims):
-        if dim in ["x", "X"]:
-            dims[i] = 0
-        elif dim in ["y", "Y"]:
-            dims[i] = 1
-        elif dim in ["z", "Z"]:
-            dims[i] = 2
-        assert dims[i] in (0, 1, 2)
-
-    assert dims[0] != dims[1]
-
-    def boundary(x):
-        return np.logical_and(
-            np.isclose(x[dims[0]], coordinates[0]),
-            np.isclose(x[dims[1]], coordinates[1]),
-        )
-
-    return boundary
-
-
-def within_range(
-    start: typing.Iterable[int] | typing.Iterable[float],
-    end: typing.Iterable[int] | typing.Iterable[float],
-    tol: float = 1e-6,
-) -> Callable:
-    """Defines a range.
-
-    It is best used together with `dolfinx.mesh.locate_entities_boundary`
-    and topological definition of the Dirichlet BC, because the Callable
-    will mark the whole range and not just the boundary.
-
-    Args:
-        start: The start point of the range.
-        end: The end point of the range.
-
-    Returns:
-        function defining the boundary
-    """
-    start = to_floats(start)
-    end = to_floats(end)
-
-    # adjust the values such that start < end for all dimensions
-    assert len(start) == 3
-    assert len(start) == len(end)
-    for i in range(len(start)):
-        if start[i] > end[i]:
-            start[i], end[i] = end[i], start[i]
-
-    def boundary(x):
-        def in_range(i):
-            return np.logical_and(x[i] >= start[i] - tol, x[i] <= end[i] + tol)
-
-        xy = np.logical_and(in_range(0), in_range(1))
-        return np.logical_and(xy, in_range(2))
-
-    return boundary
-
-
-def point_at(coord: typing.Iterable[int] | typing.Iterable[float]) -> Callable:
-    """Defines a point.
-
-    Args:
-        coord: points coordinates
-
-    Returns:
-        function defining the boundary
-    """
-    p = to_floats(coord)
-
-    def boundary(x):
-        return np.logical_and(
-            np.logical_and(np.isclose(x[0], p[0]), np.isclose(x[1], p[1])),
-            np.isclose(x[2], p[2]),
-        )
-
-    return boundary
-
-
-def _show_marked(
-    domain: dolfinx.mesh.Mesh,
-    marker: Callable,
-    filename: str | None = None,
-) -> None:  # pragma: no cover
-    """Shows dof coordinates marked by `marker`.
-
-    Notes:
-      This is useful for debugging boundary conditions.
-      Currently this only works for domains of topological
-      dimension 2.
-
-    Args:
-        domain: The computational domain.
-        marker: A function that takes an array of points ``x`` with shape
-          ``(gdim, num_points)`` and returns an array of booleans of
-          length ``num_points``, evaluating to ``True`` for entities whose
-          degree-of-freedom should be returned.
-        filename: Save figure to this path.
-          If None, the figure is shown (default).
-    """
-    try:
-        import matplotlib.pyplot as plt
-    except ImportError:
-        raise ImportError("matplotlib is required to show marked dofs.")
-
-    tdim = domain.topology.dim
-    if tdim in (1, 3):
-        raise NotImplementedError(f"Not implemented for mesh of topological dimension {tdim=}.")
-
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, marker)
-    u = dolfinx.fem.Function(V)
-    bc = dolfinx.fem.dirichletbc(u, dofs)
-    x_dofs = V.tabulate_dof_coordinates()
-    x_dofs = x_dofs[:, :2]
-    marked = x_dofs[bc.dof_indices()[0]]
-
-    plt.figure(1)
-    x, y = x_dofs.T
-    plt.scatter(x, y, facecolors="none", edgecolors="k", marker="o")
-    xx, yy = marked.T
-    plt.scatter(xx, yy, facecolors="r", edgecolors="none", marker="o")
-
-    if filename is not None:
-        plt.savefig(filename)
-    else:
-        plt.show()
-
-
-def to_floats(x: typing.Iterable[int] | typing.Iterable[float]) -> list[float]:
-    """Converts `x` to a 3d coordinate.
-
-    Args:
-        x: point coordinates at least 1D
-
-    Returns:
-        point described as list with x,y,z value
-    """
-
-    floats = []
-    try:
-        for v in x:
-            floats.append(float(v))
-        while len(floats) < 3:
-            floats.append(0.0)
-    except TypeError:
-        floats = [float(x), 0.0, 0.0]
-
-    return floats
-
-
-def create_facet_tags(
-    mesh: dolfinx.mesh.Mesh, boundaries: dict[str, tuple[int, Callable]]
-) -> tuple[np.ndarray, dict[str, int]]:
-    """Creates facet tags for the given mesh and boundaries.
-
-    This code is part of the FEniCSx tutorial
-    by Jørgen S. Dokken.
-    See https://jsdokken.com/dolfinx-tutorial/chapter3/robin_neumann_dirichlet.html?highlight=sorted_facets#implementation # noqa: E501
-
-    Args:
-        mesh: The computational domain.
-        boundaries: The definition of boundaries where each key is a string
-          and each value is a tuple of an integer and a marker function.
-
-    Returns:
-      A tuple (facet_tags, marked_boundary) where facet_tags is an array
-      with dtype int and marked_boundary is a dict where each key is a string
-      and each value is an int.
-    """
-
-    facet_indices, facet_markers = [], []
-    fdim = mesh.topology.dim - 1
-    marked_boundary = {}
-    for key, (marker, locator) in boundaries.items():
-        facets = dolfinx.mesh.locate_entities(mesh, fdim, locator)
-        facet_indices.append(facets)
-        facet_markers.append(np.full_like(facets, marker))
-        if facets.size > 0:
-            marked_boundary[key] = marker
-    facet_indices = np.hstack(facet_indices).astype(np.int32)
-    facet_markers = np.hstack(facet_markers).astype(np.int32)
-    sorted_facets = np.argsort(facet_indices)
-    facet_tags = dolfinx.mesh.meshtags(mesh, fdim, facet_indices[sorted_facets], facet_markers[sorted_facets])
-    return facet_tags, marked_boundary
diff --git a/src/fenicsxconcrete/experiment.py b/src/fenicsxconcrete/experiment.py
new file mode 100644
index 0000000..9bfc745
--- /dev/null
+++ b/src/fenicsxconcrete/experiment.py
@@ -0,0 +1,35 @@
+from pydantic import RootModel
+from bcs import DirichletBCDefinition, InitialConditionDefinition, NeumannBCDefinition, BodyForceDefinition
+from mesh import MeshGenerator
+from material import MaterialDefinition, LinearElasticMaterial
+from pydantic.dataclasses import dataclass
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class Experiment:
+    dirichlet_bcs: list[DirichletBCDefinition] | None
+    neumann_bcs: list[NeumannBCDefinition] | None
+    initial_conditions: list[InitialConditionDefinition] | None
+    body_forces: list[BodyForceDefinition] | None
+    geometry: MeshGenerator
+    solution_fields: list[str]
+    time: tuple[float, float]
+    material: MaterialDefinition
+    name: str = "experiment"
+
+
+
+
+if __name__ == "__main__":
+    bc = DirichletBCDefinition(marker=1, value=[0.,0.], subspace=0, variable='displacement')
+    neumann = NeumannBCDefinition(marker=2, value=[-42.0], variable='displacement')
+    initial = InitialConditionDefinition(value=[42.24], variable='density')
+    body_force = BodyForceDefinition(value=[0.,0., 9.81], variable='displacement')
+    mat = LinearElasticMaterial(name='steel', mu=1., lam=2.)
+    geo = MeshGenerator(parameters={'length': (1, 'm')}, mesh_tags={'left': 0, 'right': 1, 'top': 2, 'bottom': 3})
+    solution_fields = ['displacement']
+    time = (0., 1.)
+    exp = Experiment(dirichlet_bcs=[bc], neumann_bcs=[neumann], initial_conditions=[initial], body_forces=[body_force], geometry=geo, solution_fields=solution_fields, time=time, material=mat)
+
+
+    print( RootModel[Experiment](exp).model_dump_json(indent=4))
+    
diff --git a/src/fenicsxconcrete/experimental_setup/__init__.py b/src/fenicsxconcrete/experimental_setup/__init__.py
deleted file mode 100644
index 4dd540f..0000000
--- a/src/fenicsxconcrete/experimental_setup/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from .am_multiple_layers import AmMultipleLayers
-from .base_experiment import Experiment
-from .cantilever_beam import CantileverBeam
-from .compression_cylinder import CompressionCylinder
-from .simple_beam import SimpleBeam
-from .simple_cube import SimpleCube
-from .tensile_beam import TensileBeam
diff --git a/src/fenicsxconcrete/experimental_setup/am_multiple_layers.py b/src/fenicsxconcrete/experimental_setup/am_multiple_layers.py
deleted file mode 100644
index 3c0d439..0000000
--- a/src/fenicsxconcrete/experimental_setup/am_multiple_layers.py
+++ /dev/null
@@ -1,155 +0,0 @@
-from collections.abc import Callable
-
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.boundary_conditions.boundary import plane_at
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import Parameters, QuadratureRule, ureg
-
-
-class AmMultipleLayers(Experiment):
-    """sets up a simple layered structure
-
-    all layers of the same height are on top of each other, the boundary on the bottom is fixed
-    the mesh includes all (activation via pseudo-density)
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity]):
-        """initializes the object, for the rest, see base class
-
-        Args:
-            parameters: dictionary containing the required parameters for the experiment set-up
-                        see default_parameters for a first guess
-
-        """
-
-        super().__init__(parameters)
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        setup_parameters = {}
-        setup_parameters["degree"] = 2 * ureg("")  # polynomial degree
-        # geometry
-        setup_parameters["dim"] = 2 * ureg("")
-        setup_parameters["num_layers"] = 10 * ureg("")  # number of layers in y
-        setup_parameters["layer_length"] = 0.5 * ureg("m")  # x_dimension
-        setup_parameters["layer_height"] = 0.01 * ureg("m")  # Dy dimension
-        # only relevant for 3D case [z-dimension]
-        setup_parameters["layer_width"] = 0.05 * ureg("m")
-
-        # mesh
-        setup_parameters["num_elements_layer_length"] = 10 * ureg("")
-        setup_parameters["num_elements_layer_height"] = 1 * ureg("")
-        # only relevant for 3D case
-        setup_parameters["num_elements_layer_width"] = 2 * ureg("")
-
-        return setup_parameters
-
-    def setup(self) -> None:
-        """defines the mesh for 2D and 3D
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        self.logger.debug("setup mesh for %s", self.p["dim"])
-
-        if self.p["dim"] == 2:
-            self.mesh = df.mesh.create_rectangle(
-                comm=MPI.COMM_WORLD,
-                points=[(0.0, 0.0), (self.p["layer_length"], self.p["num_layers"] * self.p["layer_height"])],
-                n=(self.p["num_elements_layer_length"], self.p["num_layers"] * self.p["num_elements_layer_height"]),
-                cell_type=df.mesh.CellType.quadrilateral,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                comm=MPI.COMM_WORLD,
-                points=[
-                    (0.0, 0.0, 0.0),
-                    (self.p["layer_length"], self.p["layer_width"], self.p["num_layers"] * self.p["layer_height"]),
-                ],
-                n=[
-                    self.p["num_elements_layer_length"],
-                    self.p["num_elements_layer_width"],
-                    self.p["num_layers"] * self.p["num_elements_layer_height"],
-                ],
-                cell_type=df.mesh.CellType.hexahedron,
-            )
-        else:
-            raise ValueError(f'wrong dimension: {self.p["dim"]} is not implemented for problem setup')
-
-    def create_displacement_boundary(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass]:
-        """defines displacement boundary as fixed at bottom
-
-        Args:
-            V: function space
-
-        Returns:
-            list of dirichlet boundary conditions
-
-        """
-
-        bc_generator = BoundaryConditions(self.mesh, V)
-
-        if self.p["dim"] == 2:
-            # fix dofs at bottom
-            bc_generator.add_dirichlet_bc(
-                np.array([0.0, 0.0], dtype=ScalarType),
-                boundary=self.boundary_bottom(),
-                method="geometrical",
-                entity_dim=self.mesh.topology.dim - 1,  # line
-            )
-
-        elif self.p["dim"] == 3:
-            # fix dofs at bottom
-            bc_generator.add_dirichlet_bc(
-                np.array([0.0, 0.0, 0.0], dtype=ScalarType),
-                boundary=self.boundary_bottom(),
-                method="geometrical",
-                entity_dim=self.mesh.topology.dim - 1,  # surface
-            )
-
-        return bc_generator.bcs
-
-    def create_body_force_am(
-        self, v: ufl.argument.Argument, q_fd: df.fem.Function, rule: QuadratureRule
-    ) -> ufl.form.Form:
-        """defines body force for am experiments
-
-        element activation via pseudo density and incremental loading via parameter ["load_time"] computed in class concrete_am
-
-        Args:
-            v: test function
-            q_fd: quadrature function given the loading increment where elements are active
-            rule: rule for the quadrature function
-
-        Returns:
-            form for body force
-
-        """
-
-        force_vector = np.zeros(self.p["dim"])
-        force_vector[-1] = -self.p["rho"] * self.p["g"]  # works for 2D and 3D
-
-        f = df.fem.Constant(self.mesh, ScalarType(force_vector))
-        L = q_fd * ufl.dot(f, v) * rule.dx
-
-        return L
diff --git a/src/fenicsxconcrete/experimental_setup/base_experiment.py b/src/fenicsxconcrete/experimental_setup/base_experiment.py
deleted file mode 100644
index 5167603..0000000
--- a/src/fenicsxconcrete/experimental_setup/base_experiment.py
+++ /dev/null
@@ -1,213 +0,0 @@
-from abc import ABC, abstractmethod
-from collections.abc import Callable
-
-import dolfinx as df
-import pint
-import ufl
-
-from fenicsxconcrete.boundary_conditions.boundary import plane_at, point_at
-from fenicsxconcrete.util import LogMixin, Parameters, QuadratureRule, ureg
-
-
-class Experiment(ABC, LogMixin):
-    """base class for experimental setups
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity]) -> None:
-        """Initialises the parent object
-
-        This is needs to be called by children
-        Constant parameters are defined here
-
-        Args:
-            parameters: parameter dictionary with units
-
-        """
-
-        # initialize parameter attributes
-        setup_parameters = Parameters()
-
-        # setting up default setup parameters defined in each child
-        default_p = self.default_parameters()
-        setup_parameters.update(default_p)
-        # update with input parameters
-        setup_parameters.update(parameters)
-
-        # get logger info which parameters are set to default values
-        # plus check dimensionality of input parameters
-        keys_set_default = []
-        for key in dict(default_p):
-            if key not in parameters:
-                keys_set_default.append(key)
-            else:
-                # check if units are compatible
-                dim_given = parameters[key].dimensionality
-                dim_default = default_p[key].dimensionality
-                if dim_given != dim_default:
-                    raise ValueError(
-                        f"given units for {key} are not compatible with default units: {dim_given} != {dim_default}"
-                    )
-        self.logger.info(f"for the following parameters, the default values are used: {keys_set_default}")
-
-        # as attribute
-        self.parameters = setup_parameters
-
-        # remove units for use in fem model
-        self.p = self.parameters.to_magnitude()
-
-        self.setup()
-
-    @abstractmethod
-    def setup(self):
-        """Is called by init, must be defined by child"""
-
-    @staticmethod
-    @abstractmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        must be defined in each child
-
-        Returns:
-            a dictionary with required parameters and a set of working values as example
-
-        """
-
-        pass
-
-    @abstractmethod
-    def create_displacement_boundary(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass] | None:
-        """defines empty displacement boundary conditions (to be done in child)
-
-        this function is abstract until there is a need for a material that does not need a displacement boundary
-        once that is required, just make this a normal function that returns an empty list
-
-        Args:
-            V: function space
-
-        Returns:
-            if defined a list with displacement boundary conditions otherwise None
-
-        """
-
-    def create_force_boundary(self, v: ufl.argument.Argument | None = None) -> ufl.form.Form | None:
-        """defines empty force boundary (to be done in child)
-
-        Args:
-            v: test function
-
-        Returns:
-            if defined a form for the force otherwise None
-
-        """
-
-        pass
-
-    def create_body_force(self, v: ufl.argument.Argument | None = None) -> ufl.form.Form | None:
-        """defines empty body force function
-
-        Args:
-            v: test function
-
-        Returns:
-            if defined a form for the body force otherwise None
-
-        """
-
-        pass
-
-    def create_body_force_am(
-        self,
-        v: ufl.argument.Argument | None = None,
-        q_fd: df.fem.Function | None = None,
-        rule: QuadratureRule | None = None,
-    ) -> ufl.form.Form | None:
-        """defines empty body force function for am case
-
-        Args:
-            v: test function
-            q_fd: quadrature function given the loading increment where elements are active
-            rule: rule for the quadrature function
-
-        Returns:
-            if defined a form for the body force otherwise None
-
-        """
-
-        pass
-
-    def boundary_top(self) -> Callable:
-        """specifies boundary: plane at top
-
-        Returns:
-            fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 2:
-            return plane_at(self.p["height"], 1)
-        elif self.p["dim"] == 3:
-            return plane_at(self.p["height"], 2)
-
-    def boundary_bottom(self) -> Callable:
-        """specifies boundary: plane at bottom
-
-        Returns: fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 2:
-            return plane_at(0.0, "y")
-        elif self.p["dim"] == 3:
-            return plane_at(0.0, "z")
-
-    def boundary_left(self) -> Callable:
-        """specifies boundary: plane at left side
-
-        Returns:
-            fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 2:
-            return plane_at(0.0, "x")
-        elif self.p["dim"] == 3:
-            return plane_at(0.0, "x")
-
-    def boundary_right(self) -> Callable:
-        """specifies boundary: plane at left side
-
-        Returns:
-            fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 2:
-            return plane_at(self.p["length"], "x")
-        elif self.p["dim"] == 3:
-            return plane_at(self.p["length"], "x")
-
-    def boundary_front(self) -> Callable:
-        """specifies boundary: plane at front
-
-        only for 3D case front plane
-
-        Returns:
-            fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 3:
-            return plane_at(0.0, "y")
-
-    def boundary_back(self) -> Callable:
-        """specifies boundary: plane at front
-
-        only for 3D case front plane
-
-        Returns:
-            fct defining if dof is at boundary
-
-        """
-        if self.p["dim"] == 3:
-            return plane_at(self.p["width"], "y")
diff --git a/src/fenicsxconcrete/experimental_setup/cantilever_beam.py b/src/fenicsxconcrete/experimental_setup/cantilever_beam.py
deleted file mode 100644
index 7b06b38..0000000
--- a/src/fenicsxconcrete/experimental_setup/cantilever_beam.py
+++ /dev/null
@@ -1,129 +0,0 @@
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import Parameters, ureg
-
-
-class CantileverBeam(Experiment):
-    """Sets up a cantilever beam, clamped on one side and loaded with gravity
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity] | None = None):
-        """initializes the object, for the rest, see base class
-
-        Args:
-            parameters: dictionary containing the required parameters for the experiment set-up
-                        see default_parameters for a first guess
-
-        """
-
-        super().__init__(parameters)
-
-    def setup(self) -> None:
-        """defines the mesh for 2D or 3D
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        if self.p["dim"] == 2:
-            self.mesh = df.mesh.create_rectangle(
-                comm=MPI.COMM_WORLD,
-                points=[(0.0, 0.0), (self.p["length"], self.p["height"])],
-                n=(self.p["num_elements_length"], self.p["num_elements_height"]),
-                cell_type=df.mesh.CellType.quadrilateral,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                comm=MPI.COMM_WORLD,
-                points=[
-                    (0.0, 0.0, 0.0),
-                    (self.p["length"], self.p["width"], self.p["height"]),
-                ],
-                n=[
-                    self.p["num_elements_length"],
-                    self.p["num_elements_width"],
-                    self.p["num_elements_height"],
-                ],
-                cell_type=df.mesh.CellType.hexahedron,
-            )
-        else:
-            raise ValueError(f'wrong dimension: {self.p["dim"]} is not implemented for problem setup')
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        setup_parameters = {}
-
-        setup_parameters["length"] = 1 * ureg("m")
-        setup_parameters["height"] = 0.3 * ureg("m")
-        setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-        setup_parameters["dim"] = 3 * ureg("")
-        setup_parameters["num_elements_length"] = 10 * ureg("")
-        setup_parameters["num_elements_height"] = 3 * ureg("")
-        setup_parameters["num_elements_width"] = 3 * ureg("")  # only relevant for 3D case
-
-        return setup_parameters
-
-    def create_displacement_boundary(self, V) -> list:
-        """defines displacement boundary as fixed at bottom
-
-        Args:
-            V: function space
-
-        Returns:
-            list of dirichlet boundary conditions
-
-        """
-
-        # fenics will individually call this function for every node and will note the true or false value.
-        def clamped_boundary(x):
-            return np.isclose(x[0], 0)
-
-        displacement_bcs = []
-
-        zero = np.zeros(self.p["dim"])
-        displacement_bcs.append(
-            df.fem.dirichletbc(
-                np.array(zero, dtype=ScalarType),
-                df.fem.locate_dofs_geometrical(V, clamped_boundary),
-                V,
-            )
-        )
-
-        return displacement_bcs
-
-    def create_body_force(self, v: ufl.argument.Argument) -> ufl.form.Form:
-        """defines body force
-
-        Args:
-            v: test function
-
-        Returns:
-            form for body force
-
-        """
-
-        force_vector = np.zeros(self.p["dim"])
-        force_vector[-1] = -self.p["rho"] * self.p["g"]  # works for 2D and 3D
-
-        f = df.fem.Constant(self.mesh, ScalarType(force_vector))
-        L = ufl.dot(f, v) * ufl.dx
-
-        return L
diff --git a/src/fenicsxconcrete/experimental_setup/compression_cylinder.py b/src/fenicsxconcrete/experimental_setup/compression_cylinder.py
deleted file mode 100644
index a58c2d2..0000000
--- a/src/fenicsxconcrete/experimental_setup/compression_cylinder.py
+++ /dev/null
@@ -1,257 +0,0 @@
-import tempfile
-from collections.abc import Callable
-
-import dolfinx as df
-import gmsh
-import numpy as np
-import pint
-import ufl
-from dolfinx.io import gmshio
-from mpi4py import MPI
-
-from fenicsxconcrete import _GMSH_VERBOSITY
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.boundary_conditions.boundary import plane_at, point_at
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import Parameters, ureg
-
-
-def generate_cylinder_mesh(radius: float, height: float, mesh_density: float, element_degree: int = 2) -> df.mesh.Mesh:
-    """Uses gmsh to generate a cylinder mesh for fenics
-
-    Args:
-        radius: radius of the cylinder
-        height: height of the cylinder
-        mesh_density: defines the size of the elements and the minimum number of element edges in the height of the cylinder
-        element_degree: degree of the discretization elements, quadratic geometry by default
-
-    Returns:
-        cylinder mesh for dolfin
-
-    """
-
-    # start gmsh
-    gmsh.initialize()
-    gmsh.option.setNumber("General.Verbosity", _GMSH_VERBOSITY)  # only print warnings etc
-    gmsh.model.add("cylinder_mesh")  # give the model a name
-
-    # generate cylinder geometry with origin in (0,0,0)
-    # syntax: add_cylinder(x,y,z,dx,dy,dz,radius,angle in radian)
-    membrane = gmsh.model.occ.addCylinder(0, 0, 0, 0, 0, height, radius, angle=2 * np.pi)
-    gmsh.model.occ.synchronize()
-    gdim = 3
-    # only physical groups get exported
-    # syntax: add_physical_group(dim , list of 3d objects, tag)
-    gmsh.model.addPhysicalGroup(gdim, [membrane], 1)
-
-    # meshing
-    characteristic_length = height / mesh_density
-    gmsh.option.setNumber("Mesh.CharacteristicLengthMax", characteristic_length)
-    # setting for minimal length, arbitrarily chosen as half the max value
-    gmsh.option.setNumber("Mesh.CharacteristicLengthMin", characteristic_length / 2)
-    # setting the order of the elements
-    gmsh.option.setNumber("Mesh.ElementOrder", element_degree)
-    gmsh.model.mesh.setOrder(element_degree)
-    gmsh.model.mesh.generate(gdim)
-
-    # write to tmp file
-    msh_file = tempfile.NamedTemporaryFile(suffix=".msh")
-    gmsh.write(msh_file.name)
-    gmsh.finalize()
-
-    # reads in the mesh on a single process
-    # and then distributes the cells over available ranks
-    # returns mesh, cell_tags, facet_tags
-    mesh, _, _ = gmshio.read_from_msh(msh_file.name, MPI.COMM_WORLD, gdim=gdim)
-
-    # tmp file is deleted when closed
-    msh_file.close()
-
-    return mesh
-
-
-class CompressionCylinder(Experiment):
-    """A cylinder mesh for a uni-axial displacement load
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity] | None = None) -> None:
-        """initializes the object, for the rest, see base class
-
-        Standard parameters are set
-        setup function called
-
-         Args:
-            parameters: dictionary with parameters that can override the default values
-
-        """
-
-        super().__init__(parameters)
-
-        # initialize variable top_displacement
-        self.top_displacement = df.fem.Constant(domain=self.mesh, c=0.0)  # applied via fkt: apply_displ_load(...)
-
-    def setup(self) -> None:
-        """Generates the mesh based on parameters
-
-        This function is called during __init__
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-
-        """
-
-        if self.p["dim"] == 2:
-            # build a rectangular mesh to approximate a 2D cylinder
-            self.mesh = df.mesh.create_rectangle(
-                MPI.COMM_WORLD,
-                [
-                    [0.0, 0.0],
-                    [self.p["radius"] * 2, self.p["height"]],
-                ],
-                [self.p["mesh_density"], self.p["mesh_density"]],
-                cell_type=df.mesh.CellType.triangle,
-            )
-        elif self.p["dim"] == 3:
-            # generates a 3D cylinder mesh based on radius and height
-            # to reduce approximation errors due to the linear tetrahedron mesh, the mesh radius is iteratively changed
-            # until the bottom surface area matches that of a circle with the initially defined radius
-            def create_cylinder_mesh(radius, p):
-                # generate cylinder mesh using gmsh
-                mesh = generate_cylinder_mesh(radius, p["height"], p["mesh_density"], p["element_order"])
-                facets = df.mesh.locate_entities_boundary(mesh, 2, plane_at(0.0, 2))
-                tdim = mesh.topology.dim
-                f_v = mesh.topology.connectivity(tdim - 1, 0).array.reshape(-1, 3)
-                entities = df.graph.create_adjacencylist(f_v[facets])
-                values = np.full(facets.shape[0], 2, dtype=np.int32)
-
-                ft = df.mesh.meshtags_from_entities(mesh, tdim - 1, entities, values)
-                ds = ufl.Measure("ds", domain=mesh, subdomain_data=ft)
-                bottom_area = df.fem.assemble_scalar(df.fem.form(1 * ds(2)))
-
-                return bottom_area, mesh
-
-            if self.p["degree"] == 1:
-                # create a discretized cylinder mesh with the same cross-sectional area as the round cylinder
-                target_area = np.pi * self.p["radius"] ** 2
-                effective_radius = self.p["radius"]
-                mesh_area = 0
-                area_error = 1e-6
-                #
-                # iteratively improve the radius of the mesh till the bottom area matches the target
-                while abs(target_area - mesh_area) > target_area * area_error:
-                    # generate mesh
-                    self.p["mesh_radius"] = effective_radius  # not required, but maybe interesting as metadata
-                    mesh_area, self.mesh = create_cylinder_mesh(effective_radius, self.p)
-                    # new guess
-                    effective_radius = np.sqrt(target_area / mesh_area) * effective_radius
-            else:
-                mesh_area, self.mesh = create_cylinder_mesh(self.p["radius"], self.p)
-        else:
-            raise ValueError(f"wrong dimension {self.p['dim']} for problem setup")
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        default_parameters = {}
-        default_parameters["element_order"] = 2 * ureg("")  # polynomial degree
-
-        # boundary setting
-        default_parameters["bc_setting"] = "free" * ureg("")  # boundary setting, two options available: fixed and free
-        # fixed: constrained at top and bottom in transversal to loading
-        # free: no confinement perpendicular to loading surface
-
-        # mesh information
-        default_parameters["dim"] = 3 * ureg("")  # dimension of problem, 2D or 3D
-        # 2D version of the cylinder is a rectangle with plane strain assumption
-        default_parameters["mesh_density"] = 4 * ureg(
-            ""
-        )  # in 3D: number of faces on the side when generating a polyhedral approximation
-        # in 2D: number of elements in each direction
-        default_parameters["radius"] = 75 * ureg("mm")  # radius of cylinder to approximate in mm
-        default_parameters["height"] = 100 * ureg("mm")  # height of cylinder in mm
-        default_parameters["degree"] = 2 * ureg("")  # polynomial degree of the mesh
-
-        return default_parameters
-
-    def create_displacement_boundary(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass]:
-        """Defines the displacement boundary conditions
-
-        Args:
-            V: Function space of the structure
-
-        Returns:
-            list of DirichletBC objects, defining the boundary conditions
-
-        """
-
-        # define boundary conditions generator
-        bc_generator = BoundaryConditions(self.mesh, V)
-
-        if self.p["bc_setting"] == "fixed":
-            if self.p["dim"] == 2:
-                bc_generator.add_dirichlet_bc(self.top_displacement, self.boundary_top(), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_top(), 0, "geometrical", 0)
-                bc_generator.add_dirichlet_bc(
-                    df.fem.Constant(domain=self.mesh, c=(0.0, 0.0)),
-                    self.boundary_bottom(),
-                    None,
-                    "geometrical",
-                )
-            elif self.p["dim"] == 3:
-                bc_generator.add_dirichlet_bc(self.top_displacement, self.boundary_top(), 2, "geometrical", 2)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_top(), 0, "geometrical", 0)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_top(), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(
-                    df.fem.Constant(domain=self.mesh, c=(0.0, 0.0, 0.0)),
-                    self.boundary_bottom(),
-                    None,
-                    "geometrical",
-                )
-
-        elif self.p["bc_setting"] == "free":
-            if self.p["dim"] == 2:
-                bc_generator.add_dirichlet_bc(self.top_displacement, self.boundary_top(), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_bottom(), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), point_at((0, 0)), 0, "geometrical", 0)
-
-            elif self.p["dim"] == 3:
-                # getting nodes at the bottom of the mesh to apply correct boundary condition to arbitrary cylinder mesh
-                mesh_points = self.mesh.geometry.x  # list of all nodal coordinates
-                bottom_points = mesh_points[(mesh_points[:, 2] == 0.0)]  # copying the bottom nodes, z coord = 0.0
-
-                # sorting by x coordinate
-                x_min_boundary_point = bottom_points[bottom_points[:, 0].argsort(kind="mergesort")][0]
-                x_max_boundary_point = bottom_points[bottom_points[:, 0].argsort(kind="mergesort")][-1]
-                # sorting by y coordinate
-                y_boundary_point = bottom_points[bottom_points[:, 1].argsort(kind="mergesort")][0]
-
-                bc_generator.add_dirichlet_bc(self.top_displacement, self.boundary_top(), 2, "geometrical", 2)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_bottom(), 2, "geometrical", 2)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), point_at(x_min_boundary_point), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), point_at(x_max_boundary_point), 1, "geometrical", 1)
-                bc_generator.add_dirichlet_bc(np.float64(0.0), point_at(y_boundary_point), 0, "geometrical", 0)
-        else:
-            raise ValueError(f"Wrong boundary setting: {self.p['bc_setting']}, for cylinder setup")
-
-        return bc_generator.bcs
-
-    def apply_displ_load(self, top_displacement: pint.Quantity | float) -> None:
-        """Updates the applied displacement load
-
-        Args:
-            top_displacement: Displacement of the top boundary in mm, > 0 ; tension, < 0 ; compression
-
-        """
-        top_displacement.ito_base_units()
-        self.top_displacement.value = top_displacement.magnitude
diff --git a/src/fenicsxconcrete/experimental_setup/simple_beam.py b/src/fenicsxconcrete/experimental_setup/simple_beam.py
deleted file mode 100644
index edfecdb..0000000
--- a/src/fenicsxconcrete/experimental_setup/simple_beam.py
+++ /dev/null
@@ -1,206 +0,0 @@
-from collections.abc import Callable
-
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.boundary_conditions.boundary import line_at, point_at
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import Parameters, ureg
-
-
-class SimpleBeam(Experiment):
-    """Sets up a simply supported beam, fix on the left
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity]) -> None:
-        """initializes the object,  for the rest, see base class
-
-        Args:
-            parameters: dictionary containing the required parameters for the experiment set-up
-                        see default_parameters for a first guess
-
-        """
-
-        super().__init__(parameters)
-
-    def setup(self):
-        """defines the mesh for 2D or 3D
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        if self.p["dim"] == 2:
-            self.mesh = df.mesh.create_rectangle(
-                comm=MPI.COMM_WORLD,
-                points=[(0.0, 0.0), (self.p["length"], self.p["height"])],
-                n=(self.p["num_elements_length"], self.p["num_elements_height"]),
-                cell_type=df.mesh.CellType.quadrilateral,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                comm=MPI.COMM_WORLD,
-                points=[
-                    (0.0, 0.0, 0.0),
-                    (self.p["length"], self.p["width"], self.p["height"]),
-                ],
-                n=[
-                    self.p["num_elements_length"],
-                    self.p["num_elements_width"],
-                    self.p["num_elements_height"],
-                ],
-                cell_type=df.mesh.CellType.hexahedron,
-            )
-        else:
-            raise ValueError(f'wrong dimension: {self.p["dim"]} is not implemented for problem setup')
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        setup_parameters = {}
-
-        setup_parameters["load"] = 10000 * ureg("N/m^2")
-        setup_parameters["length"] = 1 * ureg("m")
-        setup_parameters["height"] = 0.3 * ureg("m")
-        setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-        setup_parameters["dim"] = 3 * ureg("")
-        setup_parameters["num_elements_length"] = 10 * ureg("")
-        setup_parameters["num_elements_height"] = 3 * ureg("")
-        # only relevant for 3D case
-        setup_parameters["num_elements_width"] = 3 * ureg("")
-
-        return setup_parameters
-
-    def create_displacement_boundary(self, V) -> list:
-        """defines displacement boundary as fixed at bottom
-
-        Args:
-            V: function space
-
-        Returns:
-            list of dirichlet boundary conditions
-
-        """
-
-        bc_generator = BoundaryConditions(self.mesh, V)
-
-        if self.p["dim"] == 2:
-            # fix line in the left
-            bc_generator.add_dirichlet_bc(
-                np.array([0.0, 0.0], dtype=ScalarType),
-                boundary=self.boundary_left(),
-                method="geometrical",
-            )
-            # line with dof in x direction on the right
-            bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_right(), 1, "geometrical", 0)
-
-        elif self.p["dim"] == 3:
-            # fix line in the left
-            bc_generator.add_dirichlet_bc(
-                np.array([0.0, 0.0, 0.0], dtype=ScalarType),
-                boundary=self.boundary_left(),
-                method="geometrical",
-            )
-            # line with dof in x direction on the right
-            bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_right(), 1, "geometrical", 0)
-            bc_generator.add_dirichlet_bc(np.float64(0.0), self.boundary_right(), 2, "geometrical", 0)
-
-        return bc_generator.bcs
-
-    def create_body_force(self, v: ufl.argument.Argument) -> ufl.form.Form:
-        """defines body force
-
-        Args:
-            v: test function
-
-        Returns:
-            form for body force
-
-        """
-
-        force_vector = np.zeros(self.p["dim"])
-        force_vector[-1] = -self.p["rho"] * self.p["g"]  # works for 2D and 3D
-
-        f = df.fem.Constant(self.mesh, ScalarType(force_vector))
-        L = ufl.dot(f, v) * ufl.dx
-
-        return L
-
-    def boundary_left(self) -> Callable:
-        """specifies boundary at bottom
-
-        Returns:
-            fct defining boundary
-
-        """
-
-        if self.p["dim"] == 2:
-            return point_at([0, 0])
-        elif self.p["dim"] == 3:
-            return line_at([0, 0], ["x", "z"])
-
-    def boundary_right(self) -> Callable:
-        """specifies boundary at bottom
-
-        Returns:
-            fct defining boundary
-
-        """
-
-        if self.p["dim"] == 2:
-            return point_at([self.p["length"], 0])
-        elif self.p["dim"] == 3:
-            return line_at([self.p["length"], 0], ["x", "z"])
-
-    def create_force_boundary(self, v: ufl.argument.Argument) -> ufl.form.Form:
-        """distributed load on top of beam
-
-        Args:
-            v: test function
-
-        Returns:
-            form for force boundary
-
-        """
-
-        # TODO: make this more pretty!!!
-        #       can we use Philipps boundary classes here?
-
-        facet_indices, facet_markers = [], []
-        fdim = self.mesh.topology.dim - 1
-
-        def locator(x):
-            return np.isclose(x[fdim], self.p["height"])
-
-        facets = df.mesh.locate_entities(self.mesh, fdim, locator)
-        facet_indices.append(facets)
-        facet_markers.append(np.full_like(facets, 1))
-        facet_indices = np.hstack(facet_indices).astype(np.int32)
-        facet_markers = np.hstack(facet_markers).astype(np.int32)
-        sorted_facets = np.argsort(facet_indices)
-        facet_tag = df.mesh.meshtags(self.mesh, fdim, facet_indices[sorted_facets], facet_markers[sorted_facets])
-
-        _ds = ufl.Measure("ds", domain=self.mesh, subdomain_data=facet_tag)
-
-        force_vector = np.zeros(self.p["dim"])
-        force_vector[-1] = -self.p["load"]
-        T = df.fem.Constant(self.mesh, ScalarType(force_vector))
-        L = ufl.dot(T, v) * _ds(1)
-
-        return L
diff --git a/src/fenicsxconcrete/experimental_setup/simple_cube.py b/src/fenicsxconcrete/experimental_setup/simple_cube.py
deleted file mode 100644
index 33e0fca..0000000
--- a/src/fenicsxconcrete/experimental_setup/simple_cube.py
+++ /dev/null
@@ -1,248 +0,0 @@
-from collections.abc import Callable
-
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import LogMixin, Parameters, ureg
-
-
-class SimpleCube(Experiment):
-    """sets up an uniaxial cube structure with displacement load
-
-    2D unit square or 3D unit cube with uniaxial boundary conditions
-    displacement controlled
-    for material model testing
-
-    Attributes:
-        parameters: parameter dictionary with units
-        p: parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity] | None = None) -> None:
-        """initializes the object, for the rest, see base class
-
-        Args:
-            parameters: dictionary containing the required parameters for the experiment set-up
-                        see default_parameters for a first guess
-        """
-
-        super().__init__(parameters)
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        setup_parameters = {}
-
-        setup_parameters["height"] = 1 * ureg("m")
-        setup_parameters["width"] = 1 * ureg("m")
-        setup_parameters["length"] = 1 * ureg("m")
-        setup_parameters["T_0"] = ureg.Quantity(20.0, ureg.degC)
-        setup_parameters["T_bc"] = ureg.Quantity(20.0, ureg.degC)
-        setup_parameters["dim"] = 3 * ureg("")
-        setup_parameters["num_elements_length"] = 2 * ureg("")
-        setup_parameters["num_elements_width"] = 2 * ureg("")
-        setup_parameters["num_elements_height"] = 2 * ureg("")
-        setup_parameters["strain_state"] = "uniaxial" * ureg("")
-
-        return setup_parameters
-
-    def setup(self) -> None:
-        """Generates the mesh in 2D or 3D based on parameters
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        self.logger.debug("setup mesh for %s", self.p["dim"])
-
-        if self.p["dim"] == 2:
-            # build a rectangular mesh
-            self.mesh = df.mesh.create_rectangle(
-                MPI.COMM_WORLD,
-                [
-                    [0.0, 0.0],
-                    [self.p["length"], self.p["height"]],
-                ],
-                [self.p["num_elements_length"], self.p["num_elements_height"]],
-                cell_type=df.mesh.CellType.quadrilateral,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                MPI.COMM_WORLD,
-                [
-                    [0.0, 0.0, 0.0],
-                    [self.p["length"], self.p["width"], self.p["height"]],
-                ],
-                [self.p["num_elements_length"], self.p["num_elements_width"], self.p["num_elements_height"]],
-                cell_type=df.mesh.CellType.hexahedron,
-            )
-
-        else:
-            raise ValueError(f"wrong dimension {self.p['dim']} for problem setup")
-
-        # initialize variable top_displacement
-        self.top_displacement = df.fem.Constant(domain=self.mesh, c=0.0)  # applied via fkt: apply_displ_load(...)
-        self.use_body_force = False
-        self.temperature_bc = df.fem.Constant(domain=self.mesh, c=self.p["T_bc"])
-
-    def create_displacement_boundary(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass]:
-        """Defines the displacement boundary conditions
-
-        Args:
-            V :Function space of the structure
-
-        Returns:
-            list of DirichletBC objects, defining the boundary conditions
-        """
-
-        # define boundary conditions generator
-        bc_generator = BoundaryConditions(self.mesh, V)
-
-        if self.p["dim"] == 2:
-            # uniaxial bcs
-            bc_generator.add_dirichlet_bc(
-                np.float64(0.0), boundary=self.boundary_bottom(), sub=1, method="geometrical", entity_dim=1
-            )
-            bc_generator.add_dirichlet_bc(
-                np.float64(0.0), boundary=self.boundary_left(), sub=0, method="geometrical", entity_dim=1
-            )
-
-            if self.p["strain_state"] == "uniaxial":
-                # displacement controlled
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_top(), sub=1, method="geometrical", entity_dim=1
-                )
-            elif self.p["strain_state"] == "multiaxial":
-                # displacement controlled
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_top(), sub=1, method="geometrical", entity_dim=1
-                )
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_right(), sub=0, method="geometrical", entity_dim=1
-                )
-            else:
-                raise ValueError(f'Strain_state value: {self.p["strain_state"]} is not implemented in 2D.')
-
-        elif self.p["dim"] == 3:
-            # uniaxial bcs
-            bc_generator.add_dirichlet_bc(
-                np.float64(0.0), boundary=self.boundary_bottom(), sub=2, method="geometrical", entity_dim=2
-            )
-            bc_generator.add_dirichlet_bc(
-                np.float64(0.0), boundary=self.boundary_left(), sub=0, method="geometrical", entity_dim=2
-            )
-            bc_generator.add_dirichlet_bc(
-                np.float64(0.0), boundary=self.boundary_front(), sub=1, method="geometrical", entity_dim=2
-            )
-
-            # displacement controlled
-            if self.p["strain_state"] == "uniaxial":
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_top(), sub=2, method="geometrical", entity_dim=2
-                )
-            elif self.p["strain_state"] == "multiaxial":
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_top(), sub=2, method="geometrical", entity_dim=2
-                )
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_right(), sub=0, method="geometrical", entity_dim=2
-                )
-                bc_generator.add_dirichlet_bc(
-                    self.top_displacement, boundary=self.boundary_back(), sub=1, method="geometrical", entity_dim=2
-                )
-            else:
-                raise ValueError(f'Strain_state value: {self.p["strain_state"]} is not implemented in 3D.')
-
-        return bc_generator.bcs
-
-    def apply_displ_load(self, top_displacement: pint.Quantity | float) -> None:
-        """Updates the applied displacement load
-
-        Args:
-            top_displacement: Displacement of the top boundary in mm, > 0 ; tension, < 0 ; compression
-
-        """
-        top_displacement.ito_base_units()
-        self.top_displacement.value = top_displacement.magnitude
-
-    def apply_temp_bc(self, T_bc: pint.Quantity | float) -> None:
-        """Updates the applied temperature boundary condition
-
-        Args:
-            T_bc1: Temperature of the top boundary in degree Celsius
-
-        """
-        T_bc.ito_base_units()
-        self.temperature_bc.value = T_bc.magnitude
-        self.p["T_bc"] = T_bc.magnitude
-
-    def apply_body_force(self) -> None:
-        self.use_body_force = True
-
-    def create_temperature_bcs(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass]:
-        """defines empty temperature boundary conditions (to be done in child)
-
-        this function is abstract until there is a need for a material that does need a temperature boundary
-        once that is required, just make this a normal function that returns an empty list
-
-        Args:
-            V: function space
-
-        Returns:
-            a list with temperature boundary conditions
-
-        """
-
-        def full_boundary(x):
-            if self.p["dim"] == 2:
-                return (
-                    self.boundary_bottom()(x)
-                    | self.boundary_left()(x)
-                    | self.boundary_right()(x)
-                    | self.boundary_top()(x)
-                )
-            elif self.p["dim"] == 3:
-                return (
-                    self.boundary_back()(x)
-                    | self.boundary_bottom()(x)
-                    | self.boundary_front()(x)
-                    | self.boundary_left()(x)
-                    | self.boundary_right()(x)
-                    | self.boundary_top()(x)
-                )
-
-        bc_generator = BoundaryConditions(self.mesh, V)
-        bc_generator.add_dirichlet_bc(
-            self.temperature_bc,
-            boundary=full_boundary,
-            method="geometrical",
-            entity_dim=self.mesh.topology.dim - 1,
-        )
-        return bc_generator.bcs
-
-    def create_body_force(self, v: ufl.argument.Argument) -> ufl.form.Form | None:
-        # TODO: The sign of the body force is not clear.
-
-        if self.use_body_force:
-            force_vector = np.zeros(self.p["dim"])
-            force_vector[-1] = self.p["rho"] * self.p["g"]  # works for 2D and 3D
-
-            f = df.fem.Constant(self.mesh, force_vector)
-            L = ufl.dot(f, v) * ufl.dx
-
-            return L
-        else:
-            return None
diff --git a/src/fenicsxconcrete/experimental_setup/tensile_beam.py b/src/fenicsxconcrete/experimental_setup/tensile_beam.py
deleted file mode 100644
index 1567ef3..0000000
--- a/src/fenicsxconcrete/experimental_setup/tensile_beam.py
+++ /dev/null
@@ -1,148 +0,0 @@
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.util import Parameters, ureg
-
-
-class TensileBeam(Experiment):
-    """Sets up a tensile beam experiment, clamped on one side and loaded with force on the other side
-
-    Attributes:
-        parameters : parameter dictionary with units
-        p : parameter dictionary without units
-
-    """
-
-    def __init__(self, parameters: dict[str, pint.Quantity] | None = None) -> None:
-        """initializes the object, for the rest, see base class
-
-        Args:
-            parameters: dictionary containing the required parameters for the experiment set-up
-                        see default_parameters for a first guess
-
-        """
-
-        super().__init__(parameters)
-
-    def setup(self) -> None:
-        """defines the mesh for 2D or 3D
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        if self.p["dim"] == 2:
-            self.mesh = df.mesh.create_rectangle(
-                comm=MPI.COMM_WORLD,
-                points=[(0.0, 0.0), (self.p["length"], self.p["height"])],
-                n=(self.p["num_elements_length"], self.p["num_elements_height"]),
-                cell_type=df.mesh.CellType.quadrilateral,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                comm=MPI.COMM_WORLD,
-                points=[
-                    (0.0, 0.0, 0.0),
-                    (self.p["length"], self.p["width"], self.p["height"]),
-                ],
-                n=[
-                    self.p["num_elements_length"],
-                    self.p["num_elements_width"],
-                    self.p["num_elements_height"],
-                ],
-                cell_type=df.mesh.CellType.hexahedron,
-            )
-        else:
-            raise ValueError(f'wrong dimension: {self.p["dim"]} is not implemented for problem setup')
-
-    @staticmethod
-    def default_parameters() -> dict[str, pint.Quantity]:
-        """sets up a working set of parameter values as example
-
-        Returns:
-            dictionary with a working set of the required parameter
-
-        """
-
-        setup_parameters = {}
-
-        setup_parameters["length"] = 1 * ureg("m")
-        setup_parameters["height"] = 0.3 * ureg("m")
-        setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-        setup_parameters["dim"] = 3 * ureg("")
-        setup_parameters["num_elements_length"] = 10 * ureg("")
-        setup_parameters["num_elements_height"] = 3 * ureg("")
-        setup_parameters["num_elements_width"] = 3 * ureg("")  # only relevant for 3D case
-        setup_parameters["load"] = 2000 * ureg("kN")
-
-        return setup_parameters
-
-    def create_displacement_boundary(self, V) -> list:
-        """Defines the displacement boundary conditions
-
-        Args:
-            V: Function space of the structure
-
-        Returns:
-            list of DirichletBC objects, defining the boundary conditions
-
-        """
-
-        # fenics will individually call this function for every node and will note the true or false value.
-        def clamped_boundary(x):
-            return np.isclose(x[0], 0)
-
-        displacement_bcs = []
-
-        zero = np.zeros(self.p["dim"])
-        displacement_bcs.append(
-            df.fem.dirichletbc(
-                np.array(zero, dtype=ScalarType),
-                df.fem.locate_dofs_geometrical(V, clamped_boundary),
-                V,
-            )
-        )
-
-        return displacement_bcs
-
-    def create_force_boundary(self, v: ufl.argument.Argument) -> ufl.form.Form:
-        """distributed load on top of beam
-
-        Args:
-            v: test function
-
-        Returns:
-            form for force boundary
-
-        """
-
-        boundaries = [
-            (1, lambda x: np.isclose(x[0], self.p["length"])),
-            (2, lambda x: np.isclose(x[0], 0)),
-        ]
-
-        facet_indices, facet_markers = [], []
-        fdim = self.mesh.topology.dim - 1
-        for marker, locator in boundaries:
-            facets = df.mesh.locate_entities(self.mesh, fdim, locator)
-            facet_indices.append(facets)
-            facet_markers.append(np.full_like(facets, marker))
-        facet_indices = np.hstack(facet_indices).astype(np.int32)
-        facet_markers = np.hstack(facet_markers).astype(np.int32)
-        sorted_facets = np.argsort(facet_indices)
-        facet_tag = df.mesh.meshtags(self.mesh, fdim, facet_indices[sorted_facets], facet_markers[sorted_facets])
-
-        _ds = ufl.Measure("ds", domain=self.mesh, subdomain_data=facet_tag)
-
-        force_vector = np.zeros(self.p["dim"])
-        force_vector[0] = self.p["load"]
-
-        T = df.fem.Constant(self.mesh, ScalarType(force_vector))
-        L = ufl.dot(T, v) * _ds(1)
-
-        return L
diff --git a/src/fenicsxconcrete/finite_element_problem/__init__.py b/src/fenicsxconcrete/finite_element_problem/__init__.py
deleted file mode 100644
index 5074ea4..0000000
--- a/src/fenicsxconcrete/finite_element_problem/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .base_material import MaterialProblem, QuadratureFields, SolutionFields
-from .concrete_am import ConcreteAM, ConcreteThixElasticModel
-from .concrete_thermo_mechanical import ConcreteThermoMechanical
-from .linear_elasticity import LinearElasticity
diff --git a/src/fenicsxconcrete/finite_element_problem/base_material.py b/src/fenicsxconcrete/finite_element_problem/base_material.py
deleted file mode 100644
index 7a2f9b7..0000000
--- a/src/fenicsxconcrete/finite_element_problem/base_material.py
+++ /dev/null
@@ -1,271 +0,0 @@
-from __future__ import annotations
-
-import importlib
-import json
-from abc import ABC, abstractmethod
-from copy import deepcopy
-from dataclasses import dataclass
-from pathlib import Path, PosixPath
-
-import dolfinx as df
-import jsonschema
-import pint
-import ufl
-
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.sensor_definition.base_sensor import BaseSensor
-from fenicsxconcrete.sensor_definition.sensor_schema import generate_sensor_schema
-from fenicsxconcrete.util import LogMixin, Parameters, ureg
-
-
-@dataclass
-class SolutionFields:
-    """
-    A dataclass to hold the solution fields of the problem.
-    The list of names should be extendend when needed.
-
-    Examples:
-        Since this is a dataclass, the __init__ method is automatically
-        generated and can be used to selectively set fields. All fields that
-        are not explicitely set are set to their default value (here None).
-
-        >>> fields = SolutionFields(displacement=some_function, temperature=some_other_function)
-    """
-
-    displacement: df.fem.Function | None = None
-    velocity: df.fem.Function | None = None
-    temperature: df.fem.Function | None = None
-    nonlocal_strain: df.fem.Function | None = None
-
-
-@dataclass
-class QuadratureFields:
-    """
-    A dataclass to hold the quadrature fields (or ufl expressions)
-    of the problem, at least those that we want to plot in paraview.
-    Additionally, the measure for the integration and the type of function
-    space is stored. The list of names should be extendend when needed.
-
-    Examples:
-        Since this is a dataclass, the __init__ method is automatically
-        generated and can be used to selectively set fields. All fields that
-        are not explicitely set are set to their default value (here None).
-
-        >>> q_fields = QuadratureFields(measure=rule.dx, plot_space_type=("Lagrange", 4), stress=some_function)
-    """
-
-    measure: ufl.Measure | None = None
-    plot_space_type: tuple[str, int] = ("DG", 0)
-    mandel_stress: ufl.core.expr.Expr | df.fem.Function | None = None
-    mandel_strain: ufl.core.expr.Expr | df.fem.Function | None = None
-    stress: ufl.core.expr.Expr | df.fem.Function | None = None
-    strain: ufl.core.expr.Expr | df.fem.Function | None = None
-    degree_of_hydration: ufl.core.expr.Expr | df.fem.Function | None = None
-    damage: ufl.core.expr.Expr | df.fem.Function | None = None
-    compressive_strength: ufl.core.expr.Expr | df.fem.Function | None = None
-    tensile_strength: ufl.core.expr.Expr | df.fem.Function | None = None
-    youngs_modulus: ufl.core.expr.Expr | df.fem.Function | None = None
-    yield_values: ufl.core.expr.Expr | df.fem.Function | None = None
-
-
-class MaterialProblem(ABC, LogMixin):
-    def __init__(
-        self,
-        experiment: Experiment,
-        parameters: dict[str, pint.Quantity],
-        pv_name: str = "pv_output_full",
-        pv_path: PosixPath | None = None,
-    ) -> None:
-        """Base material problem.
-
-        Parameters
-        ----------
-            experiment : object
-            parameters : dictionary, optional
-                Dictionary with parameters. When none is provided, default values are used
-            pv_name : string, optional
-                Name of the paraview file, if paraview output is generated
-            pv_path : string, optional
-                Name of the paraview path, if paraview output is generated
-        """
-
-        self.experiment = experiment
-        self.mesh = self.experiment.mesh
-
-        # initialize parameter attributes
-        setup_parameters = Parameters()
-        # setting up default setup parameters defined in each child
-        _, default_p = self.default_parameters()
-        setup_parameters.update(default_p)
-        # update with experiment parameters
-        setup_parameters.update(self.experiment.parameters)
-        # update with input parameters
-        setup_parameters.update(parameters)
-
-        # get logger info which input parameters are set to default values
-        # plus check dimensionality of input parameters
-        keys_set_default = []
-        for key in dict(default_p):
-            if key not in parameters:
-                keys_set_default.append(key)
-            else:
-                # check if units are compatible
-                dim_given = parameters[key].dimensionality
-                dim_default = default_p[key].dimensionality
-                if dim_given != dim_default:
-                    raise ValueError(
-                        f"given units for {key} are not compatible with default units: {dim_given} != {dim_default}"
-                    )
-        self.logger.info(f"for the following parameters, the default values are used: {keys_set_default}")
-
-        # set parameters as attribute
-        self.parameters = setup_parameters
-        # remove units for use in fem model
-        self.p = self.parameters.to_magnitude()
-        self.experiment.p = self.p  # update experimental parameter list for use in e.g. boundary definition
-
-        self.sensors = self.SensorDict()  # list to hold attached sensors
-
-        # setting up path for paraview output
-        if not pv_path:
-            pv_path = "."
-        self.pv_output_file = Path(pv_path) / (pv_name + ".xdmf")
-
-        # setup fields for sensor output, can be defined in model
-        self.fields = None
-        self.q_fields = None
-
-        self.residual = None  # initialize residual
-
-        # initialize time
-        self.time = 0.0
-
-        # set up xdmf file with mesh info
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "w") as f:
-            f.write_mesh(self.mesh)
-
-        # setup the material object to access the function
-        self.setup()
-
-    @staticmethod
-    @abstractmethod
-    def default_parameters() -> tuple[Experiment, dict[str, pint.Quantity]]:
-        """returns a dictionary with required parameters and a set of working values as example"""
-        # this must de defined in each setup class
-
-        pass
-
-    @abstractmethod
-    def setup(self) -> None:
-        # initialization of this specific problem
-        """Implemented in child if needed"""
-
-    @abstractmethod
-    def solve(self) -> None:
-        """Implemented in child if needed"""
-        self.update_time()
-        # define what to do, to solve this problem
-
-    @abstractmethod
-    def compute_residuals(self) -> None:
-        # define what to do, to compute the residuals. Called in solve
-        """Implemented in child if needed"""
-
-    def add_sensor(self, sensor: BaseSensor) -> None:
-        if isinstance(sensor, BaseSensor):
-            self.sensors[sensor.name] = sensor
-        else:
-            raise ValueError("The sensor must be of the class Sensor")
-
-    def clean_sensor_data(self) -> None:
-        for sensor_object in self.sensors.values():
-            sensor_object.data.clear()
-
-    def delete_sensor(self) -> None:
-        del self.sensors
-        self.sensors = self.SensorDict()
-
-    def update_time(self) -> None:
-        """update time"""
-        self.time += self.p["dt"]
-
-    def export_sensors_metadata(self, path: Path) -> None:
-        """Exports sensor metadata to JSON file according to the appropriate schema.
-
-        Args:
-            path : Path
-                Path where the metadata should be stored
-
-        """
-
-        sensors_metadata_dict = {"sensors": []}
-
-        for key, value in self.sensors.items():
-            sensors_metadata_dict["sensors"].append(value.report_metadata())
-            # sensors_metadata_dict[key]["name"] = key
-
-        with open(path, "w") as f:
-            json.dump(sensors_metadata_dict, f)
-
-    def import_sensors_from_metadata(self, path: Path) -> None:
-        """Import sensor metadata to JSON file and validate with the appropriate schema.
-
-        Args:
-            path : Path
-                Path where the metadata file is
-
-        """
-
-        # Load and validate
-        sensors_metadata_dict = {}
-        with open(path, "r") as f:
-            sensors_metadata_dict = json.load(f)
-        schema = generate_sensor_schema()
-        jsonschema.validate(instance=sensors_metadata_dict, schema=schema)
-
-        for sensor in sensors_metadata_dict["sensors"]:
-            # Dynamically import the module containing the class
-            module_name = "fenicsxconcrete.sensor_definition." + sensor["sensor_file"].lower()
-            module = importlib.import_module(module_name)
-
-            # Create a dictionary of keyword arguments from the remaining properties in the dictionary
-            kwargs = {
-                k: v for k, v in sensor.items() if k not in ["id", "type", "sensor_file", "units", "dimensionality"]
-            }
-
-            # Dynamically retrieve the class by its name
-            class_name = sensor["type"]
-            MySensorClass = getattr(module, class_name)
-
-            # Instantiate an object of the class with the given properties
-            sensor_i = MySensorClass(name=sensor["id"], **kwargs)
-            sensor_i.set_units(units=sensor["units"])
-
-            self.add_sensor(sensor_i)
-
-    class SensorDict(dict):
-        """
-        Dict that also allows to access the parameter p["parameter"] via the matching attribute p.parameter
-        to make access shorter
-
-        When to sensors with the same name are defined, the next one gets a number added to the name
-        """
-
-        def __getattr__(self, key: str):  # -> BaseSensor:
-            return self[key]
-
-        def __setitem__(self, initial_key: str, value: BaseSensor) -> None:
-            # check if key exists, if so, add a number to the name
-            i = 2
-            key = initial_key
-            if key in self:
-                while key in self:
-                    key = initial_key + str(i)
-                    i += 1
-                # rename the sensor object
-                value.name = key
-
-            super().__setitem__(key, value)
-
-        def __deepcopy__(self, memo: dict) -> SensorDict:
-            return self.__class__({k: deepcopy(v, memo) for k, v in self.items()})
diff --git a/src/fenicsxconcrete/finite_element_problem/concrete_am.py b/src/fenicsxconcrete/finite_element_problem/concrete_am.py
deleted file mode 100644
index 6c5a437..0000000
--- a/src/fenicsxconcrete/finite_element_problem/concrete_am.py
+++ /dev/null
@@ -1,507 +0,0 @@
-import copy
-from collections.abc import Callable
-from typing import Type
-
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from mpi4py import MPI
-from petsc4py import PETSc
-
-from fenicsxconcrete.experimental_setup import AmMultipleLayers, Experiment
-from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem, QuadratureFields, SolutionFields
-from fenicsxconcrete.util import Parameters, QuadratureEvaluator, QuadratureRule, project, ureg
-
-
-class ConcreteAM(MaterialProblem):
-    """A class for additive manufacturing models
-
-    - including pseudo density approach for element activation -> set_initial_path == negative time when element will be activated
-    - time incremental weak form (in case of density load increments are computed automatic, otherwise user controlled)
-    - possible corresponding material laws
-        - [concretethixelasticmodel] linear elastic thixotropy = linear elastic with age dependent Young's modulus
-        - [concreteviscodevthixelasticmodel] thixotropy-viscoelastic model (Three parameter model: CMaxwell or CKelvin) with deviator assumption with age dependent moduli
-        - ...
-
-    Attributes:
-        nonlinear_problem: the nonlinear problem class of used material law
-        further: see base class
-    """
-
-    def __init__(
-        self,
-        experiment: Experiment,
-        parameters: dict[str, pint.Quantity],
-        nonlinear_problem: Type[df.fem.petsc.NonlinearProblem] | None = None,
-        pv_name: str = "pv_output_full",
-        pv_path: str | None = None,
-    ) -> None:
-        """initialize object
-
-        Args:
-            experiment: The experimental setup.
-            parameters: Dictionary with parameters.
-            nonlinear_problem: the nonlinear problem class of used material law
-            pv_name: Name of the paraview file, if paraview output is generated.
-            pv_path: Name of the paraview path, if paraview output is generated.
-
-        """
-
-        # # adding default material parameter, will be overridden by outside input
-        # default_p = Parameters()
-        #  # default stress state for 2D optional "plane_stress"
-        #
-        # # updating parameters, overriding defaults
-        # default_p.update(parameters)
-
-        if nonlinear_problem:
-            self.nonlinear_problem = nonlinear_problem
-        else:
-            self.nonlinear_problem = ConcreteThixElasticModel  # default material
-
-        super().__init__(experiment, parameters, pv_name, pv_path)
-
-    @staticmethod
-    def parameter_description() -> dict[str, str]:
-        """static method returning a description dictionary for required parameters
-
-        Returns:
-            description dictionary
-
-        """
-        description = {
-            "general parameters": {
-                "rho": "density of fresh concrete",
-                "g": "gravity",
-                "nu": "Poissons Ratio",
-                "degree": "Polynomial degree for the FEM model",
-                "q_degree": "Polynomial degree for which the quadrature rule integrates correctly",
-                "load_time": "time in which the load is applied",
-                "stress_state": "for 2D plain stress or plane strain",
-                "dt": "time step",
-            },
-            "ThixElasticModel": {
-                "E_0": "Youngs Modulus at age=0",
-                "R_E": "Reflocculation (first) rate",
-                "A_E": "Structuration (second) rate",
-                "tf_E": "Reflocculation time (switch point)",
-                "age_0": "Start age of concrete",
-            },
-        }
-
-        return description
-
-    @staticmethod
-    def default_parameters(
-        non_linear_problem: df.fem.petsc.NonlinearProblem | None = None,
-    ) -> tuple[Experiment, dict[str, pint.Quantity]]:
-        """Static method that returns a set of default parameters for the selected nonlinear problem.
-
-        Args:
-            non_linear_problem: the nonlinear problem class of used material law
-
-        Returns:
-            The default experiment instance and the default parameters as a dictionary.
-
-        """
-
-        # default experiment
-        experiment = AmMultipleLayers(AmMultipleLayers.default_parameters())
-
-        # default parameters according given nonlinear problem
-        joined_parameters = {
-            # Material parameter for concrete model with structural build-up
-            "rho": 2070 * ureg("kg/m^3"),  # density of fresh concrete
-            "g": 9.81 * ureg("m/s^2"),  # gravity
-            "nu": 0.3 * ureg(""),  # Poissons Ratio
-            # other model parameters
-            "degree": 2 * ureg(""),  # polynomial degree
-            "q_degree": 2 * ureg(""),  # quadrature rule
-            "stress_state": "plane_strain" * ureg(""),  # for 2D stress state
-            "dt": 1.0 * ureg("s"),  # time step
-            "load_time": 60 * ureg("s"),  # body force load applied in s
-        }
-        if not non_linear_problem or non_linear_problem == ConcreteThixElasticModel:
-            ### default parameters required for ThixElasticModel
-            model_parameters = {
-                # Youngs modulus is changing over age (see E_fkt) following the bilinear approach Kruger et al 2019
-                # (https://www.sciencedirect.com/science/article/pii/S0950061819317507) with two different rates
-                "E_0": 15000 * ureg("Pa"),  # Youngs Modulus at age=0
-                "R_E": 15 * ureg("Pa/s"),  # Reflocculation (first) rate
-                "A_E": 30 * ureg("Pa/s"),  # Structuration (second) rate
-                "tf_E": 300 * ureg("s"),  # Reflocculation time (switch point)
-                "age_0": 0 * ureg("s"),  # start age of concrete
-            }
-        else:
-            raise ValueError("non_linear_problem not supported")
-
-        return experiment, {**joined_parameters, **model_parameters}
-
-    def setup(self) -> None:
-        """set up problem"""
-
-        self.rule = QuadratureRule(cell_type=self.mesh.ufl_cell(), degree=self.p["q_degree"])
-        # displacement space (name V required for sensors!)
-        self.V = df.fem.VectorFunctionSpace(self.mesh, ("CG", self.p["degree"]))
-        self.strain_stress_space = self.rule.create_quadrature_tensor_space(self.mesh, (self.p["dim"], self.p["dim"]))
-
-        # global variables for all AM problems relevant
-        self.fields = SolutionFields(displacement=df.fem.Function(self.V, name="displacement"))
-
-        self.q_fields = QuadratureFields(
-            measure=self.rule.dx,
-            plot_space_type=("DG", self.p["degree"] - 1),
-            strain=df.fem.Function(self.strain_stress_space, name="strain"),
-            stress=df.fem.Function(self.strain_stress_space, name="stress"),
-        )
-
-        # displacement increment
-        self.d_disp = df.fem.Function(self.V)
-
-        # boundaries
-        bcs = self.experiment.create_displacement_boundary(self.V)
-        body_force_fct = self.experiment.create_body_force_am
-
-        self.mechanics_problem = self.nonlinear_problem(
-            self.mesh,
-            self.p,
-            self.rule,
-            self.d_disp,
-            bcs,
-            body_force_fct,
-        )
-
-        # setting up the solver
-        self.mechanics_solver = df.nls.petsc.NewtonSolver(MPI.COMM_WORLD, self.mechanics_problem)
-        self.mechanics_solver.convergence_criterion = "incremental"
-        self.mechanics_solver.atol = 1e-9
-        self.mechanics_solver.rtol = 1e-8
-        self.mechanics_solver.report = True
-
-    def solve(self) -> None:
-        """time incremental solving !"""
-
-        self.update_time()  # set t+dt
-        self.update_path()  # set path
-
-        self.logger.info(f"solve for t: {self.time}")
-        self.logger.info(f"CHECK if external loads are applied as incremental loads e.g. delta_u(t)!!!")
-
-        # solve problem for current time increment
-        self.mechanics_solver.solve(self.d_disp)
-
-        # update total displacement
-        self.fields.displacement.vector.array[:] += self.d_disp.vector.array[:]
-        self.fields.displacement.x.scatter_forward()
-
-        # save fields to global problem for sensor output
-        self.q_fields.stress.vector.array[:] += self.mechanics_problem.q_sig.vector.array[:]
-        self.q_fields.stress.x.scatter_forward()
-        self.q_fields.strain.vector.array[:] += self.mechanics_problem.q_eps.vector.array[:]
-        self.q_fields.strain.x.scatter_forward()
-
-        # additional output field not yet used in any sensors
-        self.youngsmodulus = self.mechanics_problem.q_E
-
-        # get sensor data
-        self.compute_residuals()  # for residual sensor
-        for sensor_name in self.sensors:
-            # go through all sensors and measure
-            self.sensors[sensor_name].measure(self)
-
-        # update path & internal variables before next step!
-        self.mechanics_problem.update_history(fields=self.fields, q_fields=self.q_fields)  # if required otherwise pass
-
-    def compute_residuals(self) -> None:
-        """defines what to do, to compute the residuals. Called in solve for sensors"""
-
-        self.residual = self.mechanics_problem.R
-
-    def update_path(self) -> None:
-        """update path for next time increment"""
-        self.mechanics_problem.q_array_path += self.p["dt"] * np.ones_like(self.mechanics_problem.q_array_path)
-
-    def set_initial_path(self, path: list[float] | float) -> None:
-        """set initial path for problem
-
-        Args:
-            path: array describing the negative time when an element will be reached on quadrature space
-                    if only one value is given, it is assumed that all elements are reached at the same time
-
-        """
-        if isinstance(path, float):
-            self.mechanics_problem.q_array_path = path * np.ones_like(self.mechanics_problem.q_array_path)
-        else:
-            self.mechanics_problem.q_array_path = path
-
-    def pv_plot(self) -> None:
-        """creates paraview output at given time step"""
-
-        self.logger.info(f"create pv plot for t: {self.time}")
-
-        # write further fields
-        sigma_plot = project(
-            self.mechanics_problem.sigma(self.fields.displacement),
-            df.fem.TensorFunctionSpace(self.mesh, self.q_fields.plot_space_type),
-            self.rule.dx,
-        )
-
-        E_plot = project(
-            self.mechanics_problem.q_E, df.fem.FunctionSpace(self.mesh, self.q_fields.plot_space_type), self.rule.dx
-        )
-
-        E_plot.name = "Youngs_Modulus"
-        sigma_plot.name = "Stress"
-
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "a") as f:
-            f.write_function(self.fields.displacement, self.time)
-            f.write_function(sigma_plot, self.time)
-            f.write_function(E_plot, self.time)
-
-    @staticmethod
-    def fd_fkt(pd: list[float], path_time: list[float], dt: float, load_time: float) -> list[float]:
-        """computes weighting fct for body force term in pde
-
-        body force can be applied in several loading steps given by parameter ["load_time"]
-        load factor for each step = 1 / "load_time" * dt
-        can be used in all nonlinear problems
-
-        Args:
-            pd: array of pseudo density values
-            path_time: array of process time values
-            dt: time step value
-            load_time: time when load is fully applied
-
-        Returns:
-            array of incremental weigths for body force
-        """
-        fd = np.zeros_like(pd)
-
-        active_idx = np.where(pd > 0)[0]  # only active elements
-        # select indices where path_time is smaller than load_time and bigger then zero [since usually we start the computation at dt so that also for further layers the laoding starts at local layer time +dt]
-        load_idx = np.where((path_time[active_idx] <= load_time) & (path_time[active_idx] > 0))
-        for _ in load_idx:
-            fd[active_idx[load_idx]] = dt / load_time  # linear ramp
-
-        return fd
-
-    @staticmethod
-    def pd_fkt(path_time: list[float]) -> list[float]:
-        """computes pseudo density array
-
-        pseudo density: decides if layer is there (age >=0 active) or not (age < 0 nonactive!)
-        decision based on current path_time value
-        can be used in all nonlinear problems
-
-        Args:
-            path_time: array of process time values at quadrature points
-
-        Returns:
-            array of pseudo density
-        """
-
-        l_active = np.zeros_like(path_time)  # 0: non-active
-
-        activ_idx = np.where(path_time >= 0 - 1e-5)[0]
-        l_active[activ_idx] = 1.0  # active
-
-        return l_active
-
-    @staticmethod
-    def E_fkt(pd: float, path_time: float, parameters: dict) -> float:
-        """computes the Young's modulus at current quadrature point according to bilinear Kruger model
-
-        Args:
-            pd: value of pseudo density [0 - non active or 1 - active]
-            path_time: process time value
-            parameters: parameter dict for bilinear model described by (P0,R_P,A_P,tf_P,age_0)
-
-        Returns:
-            value of current Young's modulus
-        """
-        # print(parameters["age_0"] + path_time)
-        if pd > 0:  # element active, compute current Young's modulus
-            age = parameters["age_0"] + path_time  # age concrete
-            if age < parameters["tf_P"]:
-                E = parameters["P0"] + parameters["R_P"] * age
-            elif age >= parameters["tf_P"]:
-                E = (
-                    parameters["P0"]
-                    + parameters["R_P"] * parameters["tf_P"]
-                    + parameters["A_P"] * (age - parameters["tf_P"])
-                )
-        else:
-            E = 1e-4  # non-active
-
-        return E
-
-
-class ConcreteThixElasticModel(df.fem.petsc.NonlinearProblem):
-    """linear elastic thixotropy concrete model
-
-        linear elasticity law with age dependent Youngs modulus modelling the thixotropy
-        tensor format!!
-
-    Args:
-        mesh : The mesh.
-        parameters : Dictionary of material parameters.
-        rule: The quadrature rule.
-        u: displacement fct
-        bc: array of Dirichlet boundaries
-        body_force: function of creating body force
-
-    """
-
-    def __init__(
-        self,
-        mesh: df.mesh.Mesh,
-        parameters: dict[str, int | float | str | bool],
-        rule: QuadratureRule,
-        u: df.fem.Function,
-        bc: list[df.fem.DirichletBCMetaClass],
-        body_force_fct: Callable,
-    ):
-
-        self.p = parameters
-        self.rule = rule
-        self.mesh = mesh
-        dim_to_stress_dim = {1: 1, 2: 4, 3: 9}  # Tensor formulation!
-        self.stress_strain_dim = dim_to_stress_dim[self.p["dim"]]
-
-        # generic quadrature function space
-        q_V = self.rule.create_quadrature_space(self.mesh)
-        q_VT = self.rule.create_quadrature_tensor_space(self.mesh, (self.p["dim"], self.p["dim"]))
-
-        # quadrature functions (required in pde)
-        self.q_E = df.fem.Function(q_V, name="youngs_modulus")
-        self.q_fd = df.fem.Function(q_V, name="density_increment")
-
-        # path variable from AM Problem
-        self.q_array_path = self.rule.create_quadrature_array(self.mesh, shape=1)
-        # pseudo density for element activation
-        self.q_array_pd = self.rule.create_quadrature_array(self.mesh, shape=1)
-
-        self.q_sig = df.fem.Function(q_VT, name="stress")
-        self.q_eps = df.fem.Function(q_VT, name="strain")
-
-        # standard space
-        self.V = u.function_space
-
-        # Define variational problem
-        v = ufl.TestFunction(self.V)
-
-        # build up form
-        # multiplication with activated elements / current Young's modulus
-        R_ufl = ufl.inner(self.sigma(u), self.epsilon(v)) * self.rule.dx
-
-        # apply body force
-        body_force = body_force_fct(v, self.q_fd, self.rule)
-        if body_force:
-            R_ufl -= body_force
-
-        # quadrature point part
-        self.R = R_ufl
-
-        # derivative
-        # normal form
-        dR_ufl = ufl.derivative(R_ufl, u)
-
-        # quadrature part
-        self.dR = dR_ufl
-        self.sigma_evaluator = QuadratureEvaluator(self.sigma(u), self.mesh, self.rule)
-        self.eps_evaluator = QuadratureEvaluator(self.epsilon(u), self.mesh, self.rule)
-
-        super().__init__(self.R, u, bc, self.dR)
-
-    def x_sigma(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        """compute stresses for Young's modulus == 1
-
-        Args:
-            v: testfunction
-
-        Returns:
-            ufl expression for sigma
-        """
-
-        x_mu = df.fem.Constant(self.mesh, 1.0 / (2.0 * (1.0 + self.p["nu"])))
-        x_lambda = df.fem.Constant(self.mesh, 1.0 * self.p["nu"] / ((1.0 + self.p["nu"]) * (1.0 - 2.0 * self.p["nu"])))
-        if self.p["dim"] == 2 and self.p["stress_state"] == "plane_stress":
-            # see https://comet-fenics.readthedocs.io/en/latest/demo/elasticity/2D_elasticity.py.html
-            x_lambda = df.fem.Constant(self.mesh, 2 * x_mu.value * x_lambda.value / (x_lambda.value + 2 * x_mu.value))
-
-        return 2.0 * x_mu * self.epsilon(v) + x_lambda * ufl.nabla_div(v) * ufl.Identity(self.p["dim"])
-
-    def sigma(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        """computes stresses for real Young's modulus given as quadrature fct q_E
-
-        Args:
-            v: testfunction
-
-        Returns:
-            ufl expression for sigma
-        """
-
-        return self.q_E * self.x_sigma(v)
-
-    def epsilon(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        """computes strains
-
-        Args:
-            v: testfunction
-
-        Returns:
-            ufl expression for strain
-        """
-        return ufl.sym(ufl.grad(v))
-
-    def form(self, x: PETSc.Vec) -> None:
-        """This function is called before the residual or Jacobian is
-        computed. We override it to calculate the values on the quadrature
-        functions.
-        Args:
-           x: The vector containing the latest solution
-        """
-        self.evaluate_material()
-        super().form(x)
-
-    def evaluate_material(self) -> None:
-        """evaluate material"""
-
-        # compute current element activation using static function of ConcreteAM
-        self.q_array_pd = ConcreteAM.pd_fkt(self.q_array_path)
-
-        # compute current Young's modulus
-        # vectorize the function for speed up
-        E_fkt_vectorized = np.vectorize(ConcreteAM.E_fkt)
-        E_array = E_fkt_vectorized(
-            self.q_array_pd,
-            self.q_array_path,
-            {
-                "P0": self.p["E_0"],
-                "R_P": self.p["R_E"],
-                "A_P": self.p["A_E"],
-                "tf_P": self.p["tf_E"],
-                "age_0": self.p["age_0"],
-            },
-        )
-        self.q_E.vector.array[:] = E_array
-        self.q_E.x.scatter_forward()
-
-        # compute loading factors for density load using static function of ConcreteAM
-        fd_array = ConcreteAM.fd_fkt(self.q_array_pd, self.q_array_path, self.p["dt"], self.p["load_time"])
-        self.q_fd.vector.array[:] = fd_array
-        self.q_fd.x.scatter_forward()
-
-        # postprocessing
-        self.sigma_evaluator.evaluate(self.q_sig)
-        self.eps_evaluator.evaluate(self.q_eps)  # -> globally in concreteAM not possible why?
-
-    def update_history(self, fields: SolutionFields | None = None, q_fields: QuadratureFields | None = None) -> None:
-        """nothing here"""
-
-        pass
-
-
-# further nonlinear problem classes for different types of materials
-# class ConcreteViscoDevThixElasticModel(df.fem.petsc.NonlinearProblem):
diff --git a/src/fenicsxconcrete/finite_element_problem/concrete_thermo_mechanical.py b/src/fenicsxconcrete/finite_element_problem/concrete_thermo_mechanical.py
deleted file mode 100644
index 86891e2..0000000
--- a/src/fenicsxconcrete/finite_element_problem/concrete_thermo_mechanical.py
+++ /dev/null
@@ -1,809 +0,0 @@
-from typing import Callable
-
-import dolfinx as df
-import numpy as np
-import pint
-import scipy
-import ufl
-from petsc4py import PETSc
-
-from fenicsxconcrete.experimental_setup import Experiment, SimpleCube
-from fenicsxconcrete.finite_element_problem import MaterialProblem, QuadratureFields, SolutionFields
-from fenicsxconcrete.util import LogMixin, Parameters, QuadratureEvaluator, QuadratureRule, project, ureg
-
-
-class ConcreteThermoMechanical(MaterialProblem, LogMixin):
-    """
-    A class for a weakly coupled thermo-mechanical model, where the youngs modulus of the
-    concrete depends on the thermal problem.
-
-    Args:
-        experiment: The experimental setup.
-        parameters: Dictionary with parameters.
-        pv_name: Name of the paraview file, if paraview output is generated.
-        pv_path: Name of the paraview path, if paraview output is generated.
-    """
-
-    def __init__(
-        self,
-        experiment: Experiment,
-        parameters: dict[str, pint.Quantity],
-        pv_name: str = "pv_output_full",
-        pv_path: str | None = None,
-    ) -> None:
-
-        # # adding default material parameter, will be overridden by outside input
-        # default_p = Parameters()
-        # # default_p['dummy'] = 'example' * ureg('')  # example default parameter for this class
-        #
-        # # updating parameters, overriding defaults
-        # default_p.update(parameters)
-
-        super().__init__(experiment, parameters, pv_name, pv_path)
-
-    @staticmethod
-    def parameter_description() -> dict[str, str]:
-        description = {
-            "igc": "Ideal gas constant",
-            "rho": "Density of concrete",
-            "g": "Gravitational acceleration",
-            "thermal_cond": "effective thermal conductivity",
-            "vol_heat_cap": "volumetric heat capacity",
-            "Q_pot": "potential heat per weight of binder",
-            "Q_inf": "potential heat per concrete volume",
-            "B1": "numerical shape parameter for heat release function",
-            "B2": "numerical shape parameter for heat release function",
-            "eta": "numerical shape parameter for heat release function, maybe something about diffusion",
-            "alpha_max": "maximum degree of hydration, must be <= 1",
-            "E_act": "activation energy per mol",
-            "T_ref": "reference temperature",
-            "degree": "Polynomial degree for the FEM model",
-            "q_degree": "Polynomial degree for which the quadrature rule integrates correctly",
-            "E_28": "Youngs Modulus of concrete",
-            "nu": "Poissons Ratio",
-            "alpha_t": "value of DOH where linear function changes to exponential, approx 0.1-0.2",
-            "alpha_0": "offset for Young's modulus as a function of DOH, to allow for a dormant phase",
-            "a_E": "exponential parameter to change the shape of the function E(DOH)",
-            "fc_inf": "reference value for the compressive strength, default infinity, otherwise at alpha_tx",
-            "a_fc": "exponential parameter to change the shape of the function fc(DOH)",
-            "ft_inf": "reference value for the tensile strength, default infinity, otherwise at alpha_tx",
-            "a_ft": "exponential parameter to change the shape of the function ft(DOH)",
-            "evolution_ft": "flag to turn off the evolution of the tensile strength",
-            "dt": "time step",
-        }
-
-        return description
-
-    @staticmethod
-    def default_parameters() -> tuple[Experiment, dict[str, pint.Quantity]]:
-        """
-        Static method that returns a set of default parameters.
-
-        Returns:
-            The default parameters as a dictionary.
-        """
-        experiment = SimpleCube(SimpleCube.default_parameters())
-        # Material parameter for concrete model with temperature and hydration
-        default_parameters = {
-            "igc": 8.3145 * ureg("J/K/mol"),
-            "rho": 2350.0 * ureg("kg/m^3"),
-            "g": 9.81 * ureg("m/s^2"),
-            "thermal_cond": 2.0 * ureg("W/(m*K)"),
-            "vol_heat_cap": 2.4e6 * ureg("J/(m^3 * K)"),
-            # "Q_pot": 500e3 * ureg("J/kg"), only needed for postprocessing
-            "Q_inf": 144000000 * ureg("J/m^3"),
-            "B1": 2.916e-4 * ureg("1/s"),
-            "B2": 0.0024229 * ureg("1/s"),
-            "eta": 5.554 * ureg(""),
-            "alpha_max": 0.875 * ureg(""),
-            "alpha_tx": 0.68 * ureg(""),
-            "T_ref": ureg.Quantity(25.0, ureg.degC),
-            "degree": 2 * ureg(""),
-            "q_degree": 2 * ureg(""),
-            "E_28": 15 * ureg("MPa"),
-            "nu": 0.2 * ureg(""),
-            "alpha_t": 0.2 * ureg(""),
-            "alpha_0": 0.05 * ureg(""),
-            "a_E": 0.6 * ureg(""),
-            "fc_inf": 6210000 * ureg(""),
-            "a_fc": 1.2 * ureg(""),
-            "ft_inf": 467000 * ureg(""),
-            "a_ft": 1.0 * ureg(""),
-            "evolution_ft": "True" * ureg(""),
-            "dt": 1.0 * ureg("s"),
-        }
-        default_parameters["E_act"] = 5653.0 * ureg("K") * default_parameters["igc"]
-
-        return experiment, default_parameters
-
-    def compute_residuals(self) -> None:
-        pass
-
-    def setup(self) -> None:
-        self.t = 0.0
-
-        self.rule = QuadratureRule(cell_type=self.mesh.ufl_cell(), degree=self.p["q_degree"])
-        displacement_space = df.fem.VectorFunctionSpace(self.experiment.mesh, ("P", self.p["degree"]))
-        temperature_space = df.fem.FunctionSpace(self.experiment.mesh, ("P", self.p["degree"]))
-
-        self.fields = SolutionFields(
-            displacement=df.fem.Function(displacement_space, name="displacement"),
-            temperature=df.fem.Function(temperature_space, name="temperature"),
-        )
-
-        bcs_temperature = self.experiment.create_temperature_bcs(temperature_space)
-        # setting up the two nonlinear problems
-        self.temperature_problem = ConcreteTemperatureHydrationModel(
-            self.experiment.mesh, self.p, self.rule, self.fields.temperature, bcs_temperature
-        )
-
-        # here I "pass on the parameters from temperature to mechanics problem.."
-        bcs_mechanical = self.experiment.create_displacement_boundary(displacement_space)
-        body_forces = self.experiment.create_body_force(ufl.TestFunction(displacement_space))
-
-        self.mechanics_problem = ConcreteMechanicsModel(
-            self.experiment.mesh,
-            self.p,
-            self.rule,
-            self.fields.displacement,
-            bcs_mechanical,
-            body_forces,
-        )
-
-        # set q_fields now that the solvers are initialized
-        plot_space_type = ("DG", 0) if self.p["degree"] == 1 else ("CG", self.p["degree"] - 1)
-        self.q_fields = QuadratureFields(
-            measure=self.rule.dx,
-            plot_space_type=plot_space_type,
-            stress=self.mechanics_problem.sigma_voigt(self.mechanics_problem.sigma(self.fields.displacement)),
-            degree_of_hydration=self.temperature_problem.q_alpha,
-            youngs_modulus=self.mechanics_problem.q_E,
-            compressive_strength=self.mechanics_problem.q_fc,
-            tensile_strength=self.mechanics_problem.q_ft,
-            yield_values=self.mechanics_problem.q_yield,
-        )
-
-        # setting up the solvers
-        self.temperature_solver = df.nls.petsc.NewtonSolver(self.experiment.mesh.comm, self.temperature_problem)
-        self.temperature_solver.atol = 1e-8
-        self.temperature_solver.rtol = 1e-8
-        self.temperature_solver.max_it = 100
-        self.temperature_solver.error_on_nonconvergence = False
-
-        self.mechanics_solver = df.nls.petsc.NewtonSolver(self.experiment.mesh.comm, self.mechanics_problem)
-        self.mechanics_solver.atol = 1e-8
-        self.mechanics_solver.rtol = 1e-8
-        self.mechanics_solver.max_it = 5
-        self.mechanics_solver.error_on_nonconvergence = False
-
-        self.plot_space = df.fem.FunctionSpace(self.experiment.mesh, self.q_fields.plot_space_type)
-        self.plot_space_stress = df.fem.VectorFunctionSpace(
-            self.experiment.mesh, self.q_fields.plot_space_type, dim=self.mechanics_problem.stress_strain_dim
-        )
-
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "w") as f:
-            f.write_mesh(self.mesh)
-
-    def solve(self) -> None:
-        # from dolfinx import log
-        # log.set_log_level(log.LogLevel.INFO)
-        self.logger.info(f"Starting solve for temperature at time {self.time}")
-        n, converged = self.temperature_solver.solve(self.fields.temperature)
-
-        if not converged:
-            raise Exception("Temperature solve did not converge")
-        else:
-            self.logger.info(f"Temperature solve converged in {n} iterations")
-
-        # set current DOH for computation of Young's modulus
-        self.mechanics_problem.q_array_alpha[:] = self.temperature_problem.q_alpha.vector.array
-
-        # mechanics paroblem is not required for temperature, could crash in frist time steps but then be useful
-        try:
-            n, converged = self.mechanics_solver.solve(self.fields.displacement)
-            if not converged:
-                self.logger.warning("Mechanics solve did not converge")
-            else:
-                self.logger.info(f"Mechanics solve converged in {n} iterations")
-        except RuntimeError as e:
-            print(
-                f"An error occured during the mechanics solve. This can happen in the first few solves. Error message {e}"
-            )
-
-        # history update
-        self.temperature_problem.update_history()
-
-        # get sensor data
-        for sensor_name in self.sensors:
-            # go through all sensors and measure
-            self.sensors[sensor_name].measure(self)
-
-        self.update_time()
-
-    def pv_plot(self) -> None:
-        self.logger.info(f"Writing output to {self.pv_output_file}")
-        t = self.time
-        self._pv_plot_mechanics(t)
-        self._pv_plot_temperature(t)
-
-    def _pv_plot_temperature(self, t) -> None:
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "a") as f:
-            f.write_function(self.fields.temperature, t)
-
-            alpha_plot = project(self.q_fields.degree_of_hydration, self.plot_space, self.q_fields.measure)
-            alpha_plot.name = "alpha"
-            f.write_function(alpha_plot, t)
-
-    def _pv_plot_mechanics(self, t) -> None:
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "a") as f:
-            f.write_function(self.fields.displacement, t)
-
-            sigma_plot = project(self.q_fields.stress, self.plot_space_stress, self.rule.dx)
-            E_plot = project(self.q_fields.youngs_modulus, self.plot_space, self.rule.dx)
-            fc_plot = project(self.q_fields.compressive_strength, self.plot_space, self.rule.dx)
-            ft_plot = project(self.q_fields.tensile_strength, self.plot_space, self.rule.dx)
-            yield_plot = project(self.q_fields.yield_values, self.plot_space, self.rule.dx)
-
-            E_plot.name = "Youngs_Modulus"
-            fc_plot.name = "Compressive_strength"
-            ft_plot.name = "Tensile_strength"
-            yield_plot.name = "Yield_surface"
-            sigma_plot.name = "Stress"
-
-            f.write_function(sigma_plot, t)
-            f.write_function(E_plot, t)
-            f.write_function(fc_plot, t)
-            f.write_function(ft_plot, t)
-            f.write_function(yield_plot, t)
-
-    def set_timestep(self, dt: float) -> None:
-        self.temperature_problem.set_timestep(dt)
-
-    def get_heat_of_hydration_ftk(self) -> Callable:
-        return self.temperature_problem.heat_of_hydration_ftk
-
-    def get_E_alpha_fkt(self) -> Callable:
-        return np.vectorize(self.mechanics_problem.E_fkt)
-
-    def get_X_alpha_fkt(self) -> Callable:
-        return self.mechanics_problem.general_hydration_fkt
-
-
-class ConcreteTemperatureHydrationModel(df.fem.petsc.NonlinearProblem, LogMixin):
-    def __init__(
-        self,
-        mesh: df.mesh.Mesh,
-        parameters: dict[str, int | float | str | bool],
-        rule: QuadratureRule,
-        temperature: df.fem.Function,
-        bcs: list[df.fem.DirichletBCMetaClass],
-    ) -> None:
-        self.mesh = mesh
-        self.p = parameters
-        self.rule = rule
-        self.T = temperature
-        self.bcs = bcs
-        # initialize timestep, musst be reset using .set_timestep(dt)
-        self.dt = parameters["dt"]
-        self.dt_form = df.fem.Constant(self.mesh, self.dt)
-
-        # generic quadrature function space
-        q_V = self.rule.create_quadrature_space(self.mesh)
-
-        # quadrature functions
-        self.q_alpha = df.fem.Function(q_V, name="degree_of_hydration")
-        self.q_delta_alpha = df.fem.Function(q_V, name="inrease_in_degree_of_hydration")
-        self.q_ddalpha_dT = df.fem.Function(q_V, name="derivative_of_delta_alpha_wrt_temperature")
-
-        # quadrature arrays
-        self.q_array_T = self.rule.create_quadrature_array(self.mesh)
-        self.q_array_alpha_n = self.rule.create_quadrature_array(self.mesh)
-        # empfy list for newton iteration to compute delta alpha using the last value as starting point
-        self.q_array_delta_alpha_n = np.full(np.shape(self.q_array_T), 0.2)
-        # empfy list for newton iteration to compute delta alpha using the last value as starting point
-        self.delta_alpha_guess = [0.5, 1.0]
-
-        # scalars for the analysis of the heat of hydration
-        self.alpha = 0
-        self.delta_alpha = 0
-
-        # Define variational problem
-        self.T_n = df.fem.Function(self.T.function_space)
-        T_ = ufl.TrialFunction(self.T.function_space)
-        vT = ufl.TestFunction(self.T.function_space)
-
-        # normal form
-        R_ufl = self.p["vol_heat_cap"] * self.T * vT * self.rule.dx
-        R_ufl += self.dt_form * ufl.dot(self.p["thermal_cond"] * ufl.grad(self.T), ufl.grad(vT)) * self.rule.dx
-        R_ufl += -self.p["vol_heat_cap"] * self.T_n * vT * self.rule.dx
-        # quadrature point part
-
-        self.R = R_ufl - self.p["Q_inf"] * self.q_delta_alpha * vT * self.rule.dx
-
-        # derivative
-        # normal form
-        dR_ufl = ufl.derivative(R_ufl, self.T)
-        # quadrature part
-        self.dR = dR_ufl - self.p["Q_inf"] * self.q_ddalpha_dT * T_ * vT * self.rule.dx
-
-        # setup projector to project continuous funtionspace to quadrature
-        self.temperature_evaluator = QuadratureEvaluator(self.T, self.mesh, self.rule)
-
-        self.T_n.x.array[:] = self.p["T_0"]
-        self.T.x.array[:] = self.p["T_0"]
-
-        super().__init__(self.R, self.T, self.bcs, self.dR)
-
-    def delta_alpha_fkt(self, delta_alpha: np.ndarray, alpha_n: np.ndarray, T: np.ndarray) -> np.ndarray:
-        return delta_alpha - self.dt * self.affinity(delta_alpha, alpha_n) * self.temp_adjust(T)
-
-    def delta_alpha_prime(self, delta_alpha: np.ndarray, alpha_n: np.ndarray, T: np.ndarray) -> np.ndarray:
-        return 1 - self.dt * self.daffinity_ddalpha(delta_alpha, alpha_n) * self.temp_adjust(T)
-
-    def heat_of_hydration_ftk(
-        self, T: np.ndarray, time_list: list[float], dt: float, parameter: dict
-    ) -> tuple[np.ndarray, np.ndarray]:
-        def interpolate(x, x_list, y_list):
-            # assuming ordered x list
-
-            i = 0
-            # check if x is in the dataset
-            if x > x_list[-1]:
-                print(" * Warning!!!: Extrapolation!!!")
-                point1 = (x_list[-2], y_list[-2])
-                point2 = (x_list[-1], y_list[-1])
-            elif x < x_list[0]:
-                print(" * Warning!!!: Extrapolation!!!")
-                point1 = (x_list[0], y_list[0])
-                point2 = (x_list[1], y_list[1])
-            else:
-                while x_list[i] < x:
-                    i += 1
-                point1 = (x_list[i - 1], y_list[i - 1])
-                point2 = (x_list[i], y_list[i])
-
-            slope = (point2[1] - point1[1]) / (point2[0] - point1[0])
-            x_increment = x - point1[0]
-            y_increment = slope * x_increment
-            y = point1[1] + y_increment
-
-            return y
-
-        # get tmax, identify number of time steps, then interpolate data
-        # assuming time list is ordered!!!
-        tmax = time_list[-1]
-
-        # set paramters
-        self.p["B1"] = parameter["B1"]
-        self.p["B2"] = parameter["B2"]
-        self.p["eta"] = parameter["eta"]
-        self.p["alpha_max"] = parameter["alpha_max"]
-        self.p["E_act"] = parameter["E_act"]
-        self.p["T_ref"] = parameter["T_ref"]
-        self.p["Q_pot"] = parameter["Q_pot"]
-
-        # set time step
-        self.dt = dt
-
-        t = 0
-        time = [0.0]
-        heat = [0.0]
-        alpha_list = [0.0]
-        alpha = 0
-        delta_alpha_list = [0.0, 0.2, 0.5, 1.0]
-        delta_alpha_opt = -1.0
-        error_flag = False
-
-        while t < tmax:
-            for delta_alpha in delta_alpha_list:
-                delta_alpha_opt = scipy.optimize.newton(
-                    self.delta_alpha_fkt,
-                    args=(alpha, T),
-                    fprime=self.delta_alpha_prime,
-                    x0=delta_alpha,
-                )
-                if delta_alpha_opt >= 0.0:
-                    # success
-                    break
-            if delta_alpha_opt < 0.0:
-                error_flag = True
-
-            # update alpha
-            alpha = delta_alpha_opt + alpha
-            # save heat of hydration
-            alpha_list.append(alpha)
-            heat.append(alpha * self.p["Q_pot"])
-
-            # timeupdate
-            t = t + self.dt
-            time.append(t)
-
-        # if there was a probem with the computation (bad input values), return zero
-        if error_flag:
-            heat_interpolated = np.zeros_like(time_list)
-            alpha_interpolated = np.zeros_like(time_list)
-        else:
-            # interpolate heat to match time_list
-            heat_interpolated = []
-            alpha_interpolated = []
-            for value in time_list:
-                heat_interpolated.append(interpolate(value, time, heat))
-                alpha_interpolated.append(interpolate(value, time, alpha_list))
-
-        return np.asarray(heat_interpolated) / 1000, np.asarray(alpha_interpolated)
-
-    def get_affinity(self) -> tuple[np.ndarray, np.ndarray]:
-        alpha_list = []
-        affinity_list = []
-        for val in range(1000):
-            alpha = val / 1000
-            alpha_list.append(alpha)
-            affinity_list.append(self.affinity(alpha, 0))
-
-        return np.asarray(alpha_list), np.asarray(affinity_list)
-
-    def evaluate_material(self) -> None:
-
-        self.temperature_evaluator.evaluate(self.q_array_T)
-
-        # solve for alpha at each quadrature point
-        # here the newton raphson method of the scipy package is used
-        # the zero value of the delta_alpha_fkt is found for each entry in alpha_n_list is found. the corresponding
-        # temparature is given in temperature_list and as starting point the value of last step used from delta_alpha_n
-        delta_alpha = scipy.optimize.newton(
-            self.delta_alpha_fkt,
-            args=(self.q_array_alpha_n, self.q_array_T),
-            fprime=self.delta_alpha_prime,
-            x0=self.q_array_delta_alpha_n,
-        )
-        if np.any(delta_alpha < 0.0):
-            self.logger.info("Newton method failed, trying different starting points")
-            for guess in self.delta_alpha_guess:
-                delta_alpha = scipy.optimize.newton(
-                    self.delta_alpha_fkt,
-                    args=(self.q_array_alpha_n, self.q_array_T),
-                    fprime=self.delta_alpha_prime,
-                    x0=np.full_like(self.q_array_alpha_n, guess),
-                )
-                if np.any(delta_alpha >= 0.0):
-                    break
-        if np.any(delta_alpha < 0.0):
-            self.logger.error("HydrationModel: Newton Method failed with new starting points. Negative delta alpha.")
-            raise Exception(
-                "There is a problem with the alpha computation/initial guess, computed delta alpha is negative."
-            )
-
-        # save the delta alpha for next iteration as starting guess
-        self.q_array_delta_alpha_n = delta_alpha
-
-        # compute current alpha
-        self.q_alpha.vector.array[:] = self.q_array_alpha_n + delta_alpha
-        # compute derivative of delta alpha with respect to temperature for rhs
-        self.q_ddalpha_dT.vector.array[:] = (
-            self.dt
-            * self.affinity(self.q_alpha.vector.array, self.q_array_alpha_n)
-            * self.temp_adjust_tangent(self.q_array_T)
-        )
-
-        self.q_delta_alpha.vector.array[:] = delta_alpha
-
-    def update_history(self) -> None:
-        self.T_n.x.array[:] = self.T.x.array  # save temparature field
-        self.q_array_alpha_n[:] = self.q_alpha.vector.array  # save alpha field
-
-    def set_timestep(self, dt: float) -> None:
-        self.dt = dt
-        self.dt_form.value = dt
-
-    def form(self, x: PETSc.Vec) -> None:
-        if self.dt <= 0:
-            raise RuntimeError("You need to `.set_timestep(dt)` larger than zero before the solve!")
-
-        self.evaluate_material()
-        super().form(x)
-
-    # needed for evaluation
-    def temp_adjust(self, T: np.ndarray) -> np.ndarray:
-        return np.exp(-self.p["E_act"] / self.p["igc"] * (1 / T - 1 / (self.p["T_ref"])))
-
-        # derivative of the temperature adjustment factor with respect to the temperature
-
-    def temp_adjust_tangent(self, T: np.ndarray) -> np.ndarray:
-        return self.temp_adjust(T) * self.p["E_act"] / self.p["igc"] / T**2
-
-    # affinity function, needed for material_evaluation
-    def affinity(self, delta_alpha: np.ndarray, alpha_n: np.ndarray) -> np.ndarray:
-        affinity = (
-            self.p["B1"]
-            * (self.p["B2"] / self.p["alpha_max"] + delta_alpha + alpha_n)
-            * (self.p["alpha_max"] - (delta_alpha + alpha_n))
-            * np.exp(-self.p["eta"] * (delta_alpha + alpha_n) / self.p["alpha_max"])
-        )
-        return affinity
-
-    # derivative of affinity with respect to delta alpha, needed for evaluation
-    def daffinity_ddalpha(self, delta_alpha: np.ndarray, alpha_n: np.ndarray) -> np.ndarray:
-        affinity_prime = (
-            self.p["B1"]
-            * np.exp(-self.p["eta"] * (delta_alpha + alpha_n) / self.p["alpha_max"])
-            * (
-                (self.p["alpha_max"] - (delta_alpha + alpha_n))
-                * (self.p["B2"] / self.p["alpha_max"] + (delta_alpha + alpha_n))
-                * (-self.p["eta"] / self.p["alpha_max"])
-                - self.p["B2"] / self.p["alpha_max"]
-                - 2 * (delta_alpha + alpha_n)
-                + self.p["alpha_max"]
-            )
-        )
-        return affinity_prime
-
-
-class ConcreteMechanicsModel(df.fem.petsc.NonlinearProblem):
-    """
-    Description of a concrete mechanics model
-
-    Args:
-        mesh : The mesh.
-        parameters : Dictionary of material parameters.
-        rule: The quadrature rule.
-        pv_name: Name of the output file.
-
-    """
-
-    def __init__(
-        self,
-        mesh: df.mesh.Mesh,
-        parameters: dict[str, int | float | str | bool],
-        rule: QuadratureRule,
-        u: df.fem.Function,
-        bcs: list[df.fem.DirichletBCMetaClass],
-        body_forces: ufl.form.Form | None,
-    ):
-        self.p = parameters
-        dim_to_stress_dim = {1: 1, 2: 3, 3: 6}
-        self.stress_strain_dim = dim_to_stress_dim[self.p["dim"]]
-        self.rule = rule
-        self.mesh = mesh
-
-        # generic quadrature function space
-        q_V = self.rule.create_quadrature_space(mesh)
-
-        # quadrature functions
-        self.q_E = df.fem.Function(q_V, name="youngs_modulus")
-
-        self.q_fc = df.fem.Function(q_V)
-        self.q_ft = df.fem.Function(q_V)
-        self.q_yield = df.fem.Function(q_V)
-        self.q_array_alpha = self.rule.create_quadrature_array(self.mesh, shape=1)
-        self.q_array_sigma = self.rule.create_quadrature_array(self.mesh, shape=self.stress_strain_dim)
-
-        # initialize degree of hydration to 1, in case machanics module is run without hydration coupling
-        self.q_array_alpha[:] = 1.0
-
-        # Define variational problem
-        v = ufl.TestFunction(u.function_space)
-
-        # Elasticity parameters without multiplication with E
-        self.x_mu = 1.0 / (2.0 * (1.0 + self.p["nu"]))
-        self.x_lambda = 1.0 * self.p["nu"] / ((1.0 + self.p["nu"]) * (1.0 - 2.0 * self.p["nu"]))
-
-        R_ufl = ufl.inner(self.sigma(u), self.eps(v)) * self.rule.dx
-        if body_forces is not None:
-            R_ufl += body_forces
-
-        self.R = R_ufl
-
-        # derivative
-        # normal form
-        dR_ufl = ufl.derivative(R_ufl, u)
-        # quadrature part
-        self.dR = dR_ufl
-        self.sigma_evaluator = QuadratureEvaluator(self.sigma_voigt(self.sigma(u)), self.mesh, self.rule)
-        super().__init__(self.R, u, bcs, self.dR)
-
-    def _x_sigma(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        eps = ufl.sym(ufl.grad(v))
-        x_sigma = 2.0 * self.x_mu * eps + self.x_lambda * ufl.tr(eps) * ufl.Identity(len(v))
-        return x_sigma
-
-    def sigma(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        return self.q_E * self._x_sigma(v)
-
-    def eps(self, v: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        return ufl.sym(ufl.grad(v))
-
-    def E_fkt(self, alpha: float, parameters: dict) -> float:
-        parameters["E_inf"] = (
-            parameters["E"]
-            / ((parameters["alpha_tx"] - parameters["alpha_0"]) / (1 - parameters["alpha_0"])) ** parameters["a_E"]
-        )
-
-        if alpha < parameters["alpha_t"]:
-            E = (
-                parameters["E_inf"]
-                * alpha
-                / parameters["alpha_t"]
-                * ((parameters["alpha_t"] - parameters["alpha_0"]) / (1 - parameters["alpha_0"])) ** parameters["a_E"]
-            )
-        else:
-            E = (
-                parameters["E_inf"]
-                * ((alpha - parameters["alpha_0"]) / (1 - parameters["alpha_0"])) ** parameters["a_E"]
-            )
-        return E
-
-    def general_hydration_fkt(self, alpha: np.ndarray, parameters: dict) -> np.ndarray:
-        return parameters["X_inf"] * alpha ** parameters["a_X"]
-
-    def form(self, x: PETSc.Vec) -> None:
-        """This function is called before the residual or Jacobian is
-        computed. We override it to calculate the values on the quadrature
-        functions.
-
-        Args:
-           x: The vector containing the latest solution
-        """
-        self.evaluate_material()
-        super().form(x)
-
-    def sigma_voigt(self, s: ufl.core.expr.Expr) -> ufl.core.expr.Expr:
-        # 1D option
-        if s.ufl_shape == (1, 1):
-            stress_vector = ufl.as_vector((s[0, 0]))
-        # 2D option
-        elif s.ufl_shape == (2, 2):
-            stress_vector = ufl.as_vector((s[0, 0], s[1, 1], s[0, 1]))
-        # 3D option
-        elif s.ufl_shape == (3, 3):
-            stress_vector = ufl.as_vector((s[0, 0], s[1, 1], s[2, 2], s[0, 1], s[1, 2], s[0, 2]))
-        else:
-            raise ("Problem with stress tensor shape for voigt notation")
-        return stress_vector
-
-    def evaluate_material(self) -> None:
-        # convert quadrature spaces to numpy vector
-        # TODO: Why these new parameters?
-        parameters = {}
-        parameters["alpha_t"] = self.p["alpha_t"]
-        parameters["E"] = self.p["E_28"]
-        parameters["alpha_0"] = self.p["alpha_0"]
-        parameters["a_E"] = self.p["a_E"]
-        parameters["alpha_tx"] = self.p["alpha_tx"]
-        # vectorize the function for speed up
-        # TODO: remove vectorization. It does nothing for speed-up
-        E_fkt_vectorized = np.vectorize(self.E_fkt)
-        self.q_E.vector.array[:] = E_fkt_vectorized(self.q_array_alpha, parameters)
-        self.q_E.x.scatter_forward()
-
-        # from here postprocessing
-        parameters = {}
-        parameters["X_inf"] = self.p["fc_inf"]
-        parameters["a_X"] = self.p["a_fc"]
-
-        self.q_fc.vector.array[:] = self.general_hydration_fkt(self.q_array_alpha, parameters)
-        self.q_fc.x.scatter_forward()
-
-        parameters = {}
-        parameters["X_inf"] = self.p["ft_inf"]
-        parameters["a_X"] = self.p["a_ft"]
-
-        if self.p["evolution_ft"] == "True":
-            self.q_ft.vector.array[:] = self.general_hydration_fkt(self.q_array_alpha, parameters)
-        else:
-            # no evolution....
-            self.q_ft.vector.array[:] = np.full_like(self.q_array_alpha, self.p["ft_inf"])
-        self.q_ft.x.scatter_forward()
-
-        self.sigma_evaluator.evaluate(self.q_array_sigma)
-        # print(self.q_E.vector.array.shape, self.q_array_sigma.shape)
-        # self.q_array_sigma *= self.q_E.vector.array
-
-        self.q_yield.vector.array[:] = self.yield_surface(
-            self.q_array_sigma.reshape(-1, self.stress_strain_dim), self.q_ft.vector.array, self.q_fc.vector.array
-        )
-
-    def principal_stress(self, stresses: np.ndarray) -> np.ndarray:
-        # checking type of problem
-        n = stresses.shape[1]  # number of stress components in stress vector
-        # finding eigenvalues of symmetric stress tensor
-        # 1D problem
-        if n == 1:
-            principal_stresses = stresses
-        # 2D problem
-        elif n == 3:
-            # the following uses
-            # lambda**2 - tr(sigma)lambda + det(sigma) = 0, solve for lambda using pq formula
-            p = -(stresses[:, 0] + stresses[:, 1])
-            q = stresses[:, 0] * stresses[:, 1] - stresses[:, 2] ** 2
-
-            D = p**2 / 4 - q  # help varibale
-            assert np.all(D >= -1.0e-15)  # otherwise problem with imaginary numbers
-            sqrtD = np.sqrt(D)
-
-            eigenvalues_1 = -p / 2.0 + sqrtD
-            eigenvalues_2 = -p / 2.0 - sqrtD
-
-            # strack lists as array
-            principal_stresses = np.column_stack((eigenvalues_1, eigenvalues_2))
-
-            # principal_stress = np.array([ev1p,ev2p])
-        elif n == 6:
-            principal_stresses = np.zeros([len(stresses), 3])
-            # currently slow solution with loop over all stresses and subsequent numpy function call:
-            for i, stress in enumerate(stresses):
-                # convert voigt to tensor, (00,11,22,12,02,01)
-                stress_tensor = np.array(
-                    [
-                        [stress[0], stress[5], stress[4]],
-                        [stress[5], stress[1], stress[3]],
-                        [stress[4], stress[3], stress[2]],
-                    ]
-                )
-                try:
-                    # TODO: remove the sorting
-                    principal_stress = np.linalg.eigvalsh(stress_tensor)
-                    # sort principal stress from lagest to smallest!!!
-                    principal_stresses[i] = np.flip(principal_stress)
-                except np.linalg.LinAlgError as e:
-                    pass
-
-        return principal_stresses
-
-    def yield_surface(self, stresses: np.ndarray, ft: np.ndarray, fc: float) -> np.ndarray:
-        # TODO: it does not make sense anymore to include this postprocessing step in the material class
-        #             I would suggest to create a sensor, that reads stress and outputs this yield value
-        #             but I would maybe add that to future problems if you agree, otherwise leave it and ignore this
-
-        # function for approximated yield surface
-        # first approximation, could be changed if we have numbers/information
-        fc2 = fc
-        # pass voigt notation and compute the principal stress
-        p_stresses = self.principal_stress(stresses)
-
-        # get the principle tensile stresses
-        t_stresses = np.where(p_stresses < 0, 0, p_stresses)
-
-        # get dimension of problem, ie. length of list with principal stresses
-        n = p_stresses.shape[1]
-        # check case
-        if n == 1:
-            # rankine for the tensile region
-            rk_yield_vals = t_stresses[:, 0] - ft[:]
-
-            # invariants for drucker prager yield surface
-            I1 = stresses[:, 0]
-            I2 = np.zeros_like(I1)
-        # 2D problem
-        elif n == 2:
-
-            # rankine for the tensile region
-            rk_yield_vals = (t_stresses[:, 0] ** 2 + t_stresses[:, 1] ** 2) ** 0.5 - ft[:]
-
-            # invariants for drucker prager yield surface
-            I1 = stresses[:, 0] + stresses[:, 1]
-            I2 = ((stresses[:, 0] + stresses[:, 1]) ** 2 - ((stresses[:, 0]) ** 2 + (stresses[:, 1]) ** 2)) / 2
-
-        # 3D problem
-        elif n == 3:
-            # rankine for the tensile region
-            rk_yield_vals = (t_stresses[:, 0] ** 2 + t_stresses[:, 1] ** 2 + t_stresses[:, 2] ** 2) ** 0.5 - ft[:]
-
-            # invariants for drucker prager yield surface
-            I1 = stresses[:, 0] + stresses[:, 1] + stresses[:, 2]
-            I2 = (
-                (stresses[:, 0] + stresses[:, 1] + stresses[:, 2]) ** 2
-                - ((stresses[:, 0]) ** 2 + (stresses[:, 1]) ** 2 + (stresses[:, 2]) ** 2)
-            ) / 2
-        else:
-            raise ("Problem with input to yield surface, the array with stress values has the wrong size ")
-
-        J2 = 1 / 3 * I1**2 - I2
-        beta = (3.0**0.5) * (fc2 - fc) / (2 * fc2 - fc)
-        Hp = fc2 * fc / ((3.0**0.5) * (2 * fc2 - fc))
-
-        dp_yield_vals = beta / 3 * I1 + J2**0.5 - Hp
-
-        # TODO: is this "correct", does this make sense? for a compression state, what if rk yield > dp yield???
-        yield_vals = np.maximum(rk_yield_vals, dp_yield_vals)
-
-        return yield_vals
diff --git a/src/fenicsxconcrete/finite_element_problem/linear_elasticity.py b/src/fenicsxconcrete/finite_element_problem/linear_elasticity.py
deleted file mode 100644
index e2c3fef..0000000
--- a/src/fenicsxconcrete/finite_element_problem/linear_elasticity.py
+++ /dev/null
@@ -1,157 +0,0 @@
-import dolfinx as df
-import numpy as np
-import pint
-import ufl
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.experimental_setup import CantileverBeam, Experiment
-from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem, QuadratureFields, SolutionFields
-from fenicsxconcrete.util import Parameters, ureg
-
-
-class LinearElasticity(MaterialProblem):
-    """Material definition for linear elasticity"""
-
-    def __init__(
-        self,
-        experiment: Experiment,
-        parameters: dict[str, pint.Quantity],
-        pv_name: str = "pv_output_full",
-        pv_path: str = None,
-    ) -> None:
-        """defines default parameters, for the rest, see base class"""
-
-        # # adding default material parameter, will be overridden by outside input
-        # default_p = Parameters()
-        # default_p["stress_state"] = "plane_strain" * ureg("")  # default stress state in 2D, optional "plane_stress"
-        #
-        # # updating parameters, overriding defaults
-        # default_p.update(parameters)
-
-        super().__init__(experiment, parameters, pv_name, pv_path)
-
-    def setup(self) -> None:
-        # compute different set of elastic moduli
-
-        self.lambda_ = df.fem.Constant(
-            self.mesh,
-            self.p["E"] * self.p["nu"] / ((1 + self.p["nu"]) * (1 - 2 * self.p["nu"])),
-        )
-        self.mu = df.fem.Constant(self.mesh, self.p["E"] / (2 * (1 + self.p["nu"])))
-        if self.p["dim"] == 2 and self.p["stress_state"].lower() == "plane_stress":
-            self.lambda_ = df.fem.Constant(
-                self.mesh, 2.0 * self.mu.value * self.lambda_.value / (self.lambda_.value + 2 * self.mu.value)
-            )
-
-        # define function space ets.
-        self.V = df.fem.VectorFunctionSpace(self.mesh, ("Lagrange", self.p["degree"]))  # 2 for quadratic elements
-        self.V_scalar = df.fem.FunctionSpace(self.mesh, ("Lagrange", self.p["degree"]))
-
-        # Define variational problem
-        self.u_trial = ufl.TrialFunction(self.V)
-        self.v = ufl.TestFunction(self.V)
-
-        self.fields = SolutionFields(displacement=df.fem.Function(self.V, name="displacement"))
-        self.q_fields = QuadratureFields(
-            measure=ufl.dx,
-            plot_space_type=("DG", self.p["degree"] - 1),
-            stress=self.sigma(self.fields.displacement),
-            strain=self.epsilon(self.fields.displacement),
-        )
-
-        # initialize L field, not sure if this is the best way...
-        zero_field = df.fem.Constant(self.mesh, ScalarType(np.zeros(self.p["dim"])))
-        self.L = ufl.dot(zero_field, self.v) * ufl.dx
-
-        # apply external loads
-        external_force = self.experiment.create_force_boundary(self.v)
-        if external_force:
-            self.L = self.L + external_force
-
-        body_force = self.experiment.create_body_force(self.v)
-        if body_force:
-            self.L = self.L + body_force
-
-        # boundary conditions only after function space
-        bcs = self.experiment.create_displacement_boundary(self.V)
-
-        self.a = ufl.inner(self.sigma(self.u_trial), self.epsilon(self.v)) * ufl.dx
-        self.weak_form_problem = df.fem.petsc.LinearProblem(
-            self.a,
-            self.L,
-            bcs=bcs,
-            u=self.fields.displacement,
-            petsc_options={"ksp_type": "preonly", "pc_type": "lu"},
-        )
-
-    @staticmethod
-    def parameter_description() -> dict[str, str]:
-        """static method returning a description dictionary for required parameters
-
-        Returns:
-            description dictionary
-
-        """
-        description = {
-            "g": "gravity",
-            "dt": "time step",
-            "rho": "density of fresh concrete",
-            "E": "Young's Modulus",
-            "nu": "Poissons Ratio",
-            "stress_state": "for 2D plain stress or plane strain",
-            "degree": "Polynomial degree for the FEM model",
-            "dt": "time step",
-        }
-
-        return description
-
-    @staticmethod
-    def default_parameters() -> tuple[Experiment, dict[str, pint.Quantity]]:
-        """returns a dictionary with required parameters and a set of working values as example"""
-        # default setup for this material
-        experiment = CantileverBeam(CantileverBeam.default_parameters())
-
-        model_parameters = {}
-        model_parameters["g"] = 9.81 * ureg("m/s^2")
-        model_parameters["dt"] = 1.0 * ureg("s")
-
-        model_parameters["rho"] = 7750 * ureg("kg/m^3")
-        model_parameters["E"] = 210e9 * ureg("N/m^2")
-        model_parameters["nu"] = 0.28 * ureg("")
-
-        model_parameters["stress_state"] = "plane_strain" * ureg("")
-        model_parameters["degree"] = 2 * ureg("")  # polynomial degree
-        model_parameters["dt"] = 1.0 * ureg("s")
-
-        return experiment, model_parameters
-
-    # Stress computation for linear elastic problem
-    def epsilon(self, u: ufl.argument.Argument) -> ufl.tensoralgebra.Sym:
-        return ufl.tensoralgebra.Sym(ufl.grad(u))
-
-    def sigma(self, u: ufl.argument.Argument) -> ufl.core.expr.Expr:
-        return self.lambda_ * ufl.nabla_div(u) * ufl.Identity(self.p["dim"]) + 2 * self.mu * self.epsilon(u)
-
-    def solve(self) -> None:
-        self.update_time()
-        self.logger.info(f"solving t={self.time}")
-        self.weak_form_problem.solve()
-
-        # TODO Defined as abstractmethod. Should it depend on sensor instead of material?
-        self.compute_residuals()
-
-        # get sensor data
-        for sensor_name in self.sensors:
-            # go through all sensors and measure
-            self.sensors[sensor_name].measure(self)
-
-    def compute_residuals(self) -> None:
-        self.residual = ufl.action(self.a, self.fields.displacement) - self.L
-
-    # paraview output
-    # TODO move this to sensor definition!?!?!
-    def pv_plot(self) -> None:
-        # Displacement Plot
-
-        with df.io.XDMFFile(self.mesh.comm, self.pv_output_file, "a") as f:
-            f.write_function(self.fields.displacement, self.time)
diff --git a/src/fenicsxconcrete/material.py b/src/fenicsxconcrete/material.py
new file mode 100644
index 0000000..b8d530a
--- /dev/null
+++ b/src/fenicsxconcrete/material.py
@@ -0,0 +1,19 @@
+
+from typing import Callable
+from pydantic.dataclasses import dataclass
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class MaterialDefinition:
+    name: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class LinearElasticMaterial(MaterialDefinition):
+    mu: float
+    lam: float
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class MisesPlasticityIsotropicHardening(MaterialDefinition):
+    mu: float
+    lam: float
+    yield_stress: float
+    hardening_modulus: float | Callable[[float], float]
\ No newline at end of file
diff --git a/src/fenicsxconcrete/mesh.py b/src/fenicsxconcrete/mesh.py
new file mode 100644
index 0000000..584e8f4
--- /dev/null
+++ b/src/fenicsxconcrete/mesh.py
@@ -0,0 +1,9 @@
+from pydantic.dataclasses import dataclass
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class MeshGenerator:
+    parameters: dict[str, tuple[float, str]] | None
+    cell_tags: dict[str, int] | None = None
+    facet_tags: dict[str, int] | None = None
+
+    def generate(degree: int):
+        pass
\ No newline at end of file
diff --git a/src/fenicsxconcrete/names.py b/src/fenicsxconcrete/names.py
new file mode 100644
index 0000000..6e82d9b
--- /dev/null
+++ b/src/fenicsxconcrete/names.py
@@ -0,0 +1,26 @@
+from pydantic.dataclasses import dataclass
+from enum import Enum
+from typing import Literal
+
+FieldVaraibles = Literal["displacement", "temperature", "nonlocal_equivalent_strain"]
+
+QuadratureVariables = Literal["mandel_stress", "mandel_strain", "mandel_strain_rate"]
+
+@dataclass
+class Quantity:
+    unit: str
+
+class BaseQuantity(Enum):
+    Displacement = Quantity("m")
+    Velocity = Quantity("m/s")
+    Acceleration = Quantity("m/s^2")
+    Temperature = Quantity("K")
+    Strain = Quantity("1")
+    Stress = Quantity("Pa")
+    Density = Quantity("kg/m^3")
+    Time = Quantity("s")
+
+class SolutionFields(Enum):
+    Displacement = Quantity("m")
+    Temperature = Quantity("K")
+    NonlocalEquivalentStrain = Quantity("1")
diff --git a/src/fenicsxconcrete/problem.py b/src/fenicsxconcrete/problem.py
new file mode 100644
index 0000000..67a4607
--- /dev/null
+++ b/src/fenicsxconcrete/problem.py
@@ -0,0 +1,73 @@
+from pydantic.dataclasses import dataclass
+
+from pydantic import RootModel
+
+from bcs import (
+    BodyForceDefinition,
+    DirichletBCDefinition,
+    InitialConditionDefinition,
+    NeumannBCDefinition,
+)
+from material import LinearElasticMaterial
+from mesh import MeshGenerator
+
+from sensor import PlotDefinition, PointSensorDefinition, GlobalSensorDefinition
+from experiment import Experiment
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class QuadratureRuleDefinition:
+    name: str
+    order: int
+    variable: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class FiniteElementDefinition:
+    name: str
+    geometry_order: int
+    function_order: int
+    variable: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class FEMProblemDefinition:
+    experiment: Experiment
+    sensors: list[PointSensorDefinition | GlobalSensorDefinition]
+    plots: list[PlotDefinition]
+    element_type: list[FiniteElementDefinition]
+    quadrature_rule: list[QuadratureRuleDefinition]
+
+
+if __name__ == "__main__":
+    bc = DirichletBCDefinition(marker=1, value=[0.0, 0.0], subspace=0, variable="displacement")
+    neumann = NeumannBCDefinition(marker=2, value=[-42.0], variable="displacement")
+    initial = InitialConditionDefinition(value=[42.24], variable="density")
+    body_force = BodyForceDefinition(value=[0.0, 0.0, 9.81], variable="displacement")
+    mat = LinearElasticMaterial(name="steel", mu=1.0, lam=2.0)
+    geo = MeshGenerator(parameters={"length": (1, "m")}, mesh_tags={"left": 0, "right": 1, "top": 2, "bottom": 3})
+    solution_fields = ["displacement"]
+    time = (0.0, 1.0)
+    exp = Experiment(
+        dirichlet_bcs=[bc],
+        neumann_bcs=[neumann],
+        initial_conditions=[initial],
+        body_forces=[body_force],
+        geometry=geo,
+        solution_fields=solution_fields,
+        time=time,
+        material=mat,
+    )
+
+    sensor = PointSensorDefinition(location=(0.0, 0.0, 0.0), variable="displacement", unit="m")
+    global_sensor = GlobalSensorDefinition(variable="energy", unit="J")
+
+    plot = PlotDefinition(variable="displacement", unit="m")
+
+    problem = FEMProblemDefinition(
+        experiment=exp,
+        sensors=[sensor, global_sensor],
+        plots=[plot],
+        element_type=[FiniteElementDefinition(name="P", geometry_order=1, function_order=1, variable="displacement")],
+        quadrature_rule=[QuadratureRuleDefinition(name="Gauss", order=2, variable="displacement")],
+    )
+
+    print(RootModel[Experiment](exp).model_dump_json(indent=4))
+    print(RootModel[FEMProblemDefinition](problem).model_dump_json(indent=4, serialize_as_any=True))
diff --git a/src/fenicsxconcrete/sensor.py b/src/fenicsxconcrete/sensor.py
new file mode 100644
index 0000000..2a06742
--- /dev/null
+++ b/src/fenicsxconcrete/sensor.py
@@ -0,0 +1,67 @@
+
+from pydantic.dataclasses import dataclass
+from typing import Callable
+import numpy as np
+
+
+
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class PointSensorDefinition:
+    """
+    Definition of a point sensor
+
+    Args:
+        location: The location of the sensor
+        variable: The variable to be measured
+     
+    """
+    location: tuple[float,float,float]
+    variable: str
+    unit: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class GlobalSensorDefinition:
+    variable: str
+    unit: str
+
+@dataclass(config=dict(arbitrary_types_allowed=True))
+class PlotDefinition:
+    variable: str
+    #mapping: Callable
+    unit: str
+
+# @dataclass
+# class DolfinXPointSensor:
+#     cells: list[int]
+#     plot_function: df.fem.Function | None
+#     function: df.fem.Function
+#     mapping: Callable
+#     definition: PointSensorDefinition
+
+#     def __init__(self, sensor: SensorDefinition, function: df.fem.FunctionSpace, plot_function: df.fem.Function | None = None):
+#         pass
+
+@dataclass
+class  Sensors:
+    groups: dict[str, list[PointSensorDefinition | GlobalSensorDefinition | PlotDefinition]]
+    #plot_functions: dict[str, df.fem.Function | None]
+    #functions: dict[str, df.fem.Function]
+
+    def measure(self, t: float):
+        for plot_function, function in zip(self.plot_functions.values(), self.functions.values()):
+            if plot_function is not None:
+                # projection here for all sensors that use the same variable
+                # FEniCS code comes here
+                pass 
+        for group, sensors in self.groups.items():
+            for sensor in sensors:
+                match sensor:
+                    case PointSensorDefinition(location, variable, mapping, unit):
+                        pass
+                    case GlobalSensorDefinition(variable, mapping, unit):
+                        pass
+                    case PlotDefinition(variable, mapping, unit):
+                        pass
+                    case _:
+                        pass
\ No newline at end of file
diff --git a/src/fenicsxconcrete/sensor_definition/README.md b/src/fenicsxconcrete/sensor_definition/README.md
deleted file mode 100644
index a46800e..0000000
--- a/src/fenicsxconcrete/sensor_definition/README.md
+++ /dev/null
@@ -1 +0,0 @@
-# files related to sensors
\ No newline at end of file
diff --git a/src/fenicsxconcrete/sensor_definition/__init__.py b/src/fenicsxconcrete/sensor_definition/__init__.py
deleted file mode 100644
index 44ee4c0..0000000
--- a/src/fenicsxconcrete/sensor_definition/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from .base_sensor import BaseSensor, PointSensor
-from .displacement_sensor import DisplacementSensor
-from .doh_sensor import DOHSensor
-from .reaction_force_sensor import ReactionForceSensor
-from .sensor_schema import generate_sensor_schema
-from .strain_sensor import StrainSensor
-from .stress_sensor import StressSensor
-from .temperature_sensor import TemperatureSensor
-from .youngs_modulus_sensor import YoungsModulusSensor
diff --git a/src/fenicsxconcrete/sensor_definition/base_sensor.py b/src/fenicsxconcrete/sensor_definition/base_sensor.py
deleted file mode 100644
index 50684e9..0000000
--- a/src/fenicsxconcrete/sensor_definition/base_sensor.py
+++ /dev/null
@@ -1,165 +0,0 @@
-from __future__ import annotations
-
-import os
-from abc import ABC, abstractmethod
-
-import pint
-
-from fenicsxconcrete.util import LogMixin, ureg
-
-
-# sensor template
-class BaseSensor(ABC, LogMixin):
-    """Template for a sensor object
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-    """
-
-    def __init__(self, name: str | None = None) -> None:
-        """initializes the sensor
-
-        Args:
-            name: optional argument to set a specific sensor name
-        """
-        self.data = []
-        self.time = []
-        self.units = self.base_unit()
-        if name is None:
-            self.name = self.__class__.__name__
-        else:
-            self.name = name
-
-    # Can't use type hint here, because it would create a circular import
-    @abstractmethod
-    def measure(self, problem) -> None:
-        """Needs to be implemented in child, depends on the sensor
-
-        This function is called, when the sensor adds the data to the data list.
-        """
-
-    @staticmethod
-    @abstractmethod
-    def base_unit() -> pint.Unit:
-        """Defines the base unit of this sensor"""
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = {}
-        metadata["id"] = self.name
-        metadata["type"] = self.__class__.__name__
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        metadata["units"] = f"{self.units._units}"
-        metadata["dimensionality"] = f"{self.units.dimensionality}"
-        return metadata
-
-    def get_data_list(self) -> pint.Quantity[list]:
-        """Returns the measured data with respective unit
-
-        Returns:
-            measured data list with respective unit
-        """
-        data = self.data * self.base_unit()  # add base units
-        data.ito(self.units)  # convert to target units
-        return data
-
-    def get_time_list(self) -> pint.Quantity[list]:
-        """Returns the time data with respective unit
-
-        Returns:
-            the time stamp list with the respective unit
-        """
-        return self.time * ureg.second
-
-    def get_data_at_time(self, t: float) -> pint.Quantity:
-        """Returns the measured data at a specific time
-
-        Returns:
-            measured data at the specified time with the unit
-
-        Raises:
-            ValueError: If there is no value t in time list
-        """
-        try:
-            i = self.time.index(t)
-        except ValueError:  # I want my own value error that is meaningful to the input
-            raise ValueError(f"There is no data measured at time {t}")
-
-        data = self.data[i] * self.base_unit()  # add base units
-        data.ito(self.units)  # convert to target units
-
-        return data
-
-    def get_last_entry(self) -> pint.Quantity:
-        """Returns the measured data with respective unit
-
-        Returns:
-            the measured data list with the respective unit
-
-        Raises:
-            RuntimeError: If the data list is empty
-        """
-        if len(self.data) > 0:
-            data = self.data[-1] * self.base_unit()  # add base units
-            data.ito(self.units)  # convert to target units
-            return data
-        else:
-            raise RuntimeError("There is no measured data to retrieve.")
-
-    def set_units(self, units: str) -> None:
-        """sets the units which the sensor should return
-
-        the unit must match the dimensionality of the base unit
-
-        Args:
-            units: name of the units to convert to, must be defined in pint unit registry
-        """
-        new_unit = ureg(units)
-        assert self.base_unit().dimensionality == new_unit.dimensionality
-        self.units = new_unit
-
-
-class PointSensor(BaseSensor):
-    """
-    Abstract class for a sensor that measures values at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    def __init__(self, where: list[int | float], name: str | None = None) -> None:
-        """
-        initializes a point sensor, for further details, see base class
-
-        Arguments:
-            where : Point where to measure
-            name : name of the sensor
-        """
-        super().__init__(name=name)
-        self.where = where
-
-    @abstractmethod
-    def measure(self, problem) -> None:
-        """Needs to be implemented in child, depending on the sensor"""
-
-    @staticmethod
-    @abstractmethod
-    def base_unit() -> pint.Unit:
-        """Defines the base unit of this sensor, must be specified by child"""
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        if isinstance(self.where, list):
-            metadata["where"] = self.where
-        else:
-            metadata["where"] = list(self.where)
-        return metadata
diff --git a/src/fenicsxconcrete/sensor_definition/displacement_sensor.py b/src/fenicsxconcrete/sensor_definition/displacement_sensor.py
deleted file mode 100644
index aba4d36..0000000
--- a/src/fenicsxconcrete/sensor_definition/displacement_sensor.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import ureg
-
-
-class DisplacementSensor(PointSensor):
-    """A sensor that measures displacement at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    # Type hints don't work here because they create a circular import :(
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The displacement value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-        # get displacements
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-
-        # for i, point in enumerate(self.where):
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to displacement
-        displacement_data = problem.fields.displacement.eval([self.where], cells)
-
-        self.data.append(displacement_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg.meter
diff --git a/src/fenicsxconcrete/sensor_definition/doh_sensor.py b/src/fenicsxconcrete/sensor_definition/doh_sensor.py
deleted file mode 100644
index cc10eb0..0000000
--- a/src/fenicsxconcrete/sensor_definition/doh_sensor.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-import ufl
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import project, ureg
-
-
-class DOHSensor(PointSensor):
-    """A sensor that measures degree of hydration at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The degree of hydration value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-
-        try:
-            degree_of_hydration = problem.q_fields.degree_of_hydration
-            assert degree_of_hydration is not None
-        except AssertionError:
-            raise Exception("Strain not defined in problem")
-
-        strain_function = project(
-            degree_of_hydration,  # stress fct from problem
-            df.fem.FunctionSpace(problem.experiment.mesh, problem.q_fields.plot_space_type),  # tensor space
-            problem.q_fields.measure,
-        )
-        # project stress onto visualization space
-
-        # finding the cells corresponding to the point
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to stress
-        strain_data = strain_function.eval([self.where], cells)
-
-        self.data.append(strain_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg("")
diff --git a/src/fenicsxconcrete/sensor_definition/reaction_force_sensor.py b/src/fenicsxconcrete/sensor_definition/reaction_force_sensor.py
deleted file mode 100644
index 04cf7e6..0000000
--- a/src/fenicsxconcrete/sensor_definition/reaction_force_sensor.py
+++ /dev/null
@@ -1,123 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING, TypedDict
-
-import dolfinx as df
-import ufl
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-import dolfinx as df
-import ufl
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.sensor_definition.base_sensor import BaseSensor
-from fenicsxconcrete.util import ureg
-
-
-class Surface(TypedDict):
-    """A typed dictionary class to define a surface
-
-    Attributes:
-        function: name of the function to be called to ge the surface
-        args: additional arguments to be passed to such a function
-    """
-
-    function: str
-    args: dict
-
-
-class ReactionForceSensor(BaseSensor):
-    """A sensor that measures the reaction force at a specified surface
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        surface : dictionary that defines the surface where the reaction force is measured
-    Args:
-        surface : a dictionary that defines the function for the reaction boundary, default is the bottom surface
-        name : name of the sensor, default is class name, but can be changed
-    """
-
-    def __init__(self, surface: Surface | None = None, name: str | None = None) -> None:
-        super().__init__(name=name)
-        self.surface_dict = surface
-
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The reaction force vector of the defined surface is added to the data list,
-        as well as the time t to the time list
-
-        Args:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-        # boundary condition
-        if self.surface_dict is None:
-            self.surface = problem.experiment.boundary_bottom()
-        else:
-            self.surface = getattr(problem.experiment, self.surface_dict["function"])(**self.surface_dict["args"])
-
-        v_reac = df.fem.Function(problem.fields.displacement.function_space)
-
-        reaction_force_vector = []
-
-        bc_generator_x = BoundaryConditions(problem.mesh, problem.V)
-        bc_generator_x.add_dirichlet_bc(
-            value=df.fem.Constant(domain=problem.mesh, c=1.0),
-            boundary=self.surface,
-            sub=0,
-            method="geometrical",
-            entity_dim=problem.mesh.topology.dim - 1,
-        )
-        df.fem.set_bc(v_reac.vector, bc_generator_x.bcs)
-        computed_force_x = -df.fem.assemble_scalar(df.fem.form(ufl.action(problem.residual, v_reac)))
-        reaction_force_vector.append(computed_force_x)
-
-        bc_generator_y = BoundaryConditions(problem.mesh, problem.V)
-        bc_generator_y.add_dirichlet_bc(
-            value=df.fem.Constant(domain=problem.mesh, c=1.0),
-            boundary=self.surface,
-            sub=1,
-            method="geometrical",
-            entity_dim=problem.mesh.topology.dim - 1,
-        )
-        df.fem.set_bc(v_reac.vector, bc_generator_y.bcs)
-        computed_force_y = -df.fem.assemble_scalar(df.fem.form(ufl.action(problem.residual, v_reac)))
-        reaction_force_vector.append(computed_force_y)
-
-        if problem.p["dim"] == 3:
-            bc_generator_z = BoundaryConditions(problem.mesh, problem.V)
-            bc_generator_z.add_dirichlet_bc(
-                value=df.fem.Constant(domain=problem.mesh, c=1.0),
-                boundary=self.surface,
-                sub=2,
-                method="geometrical",
-                entity_dim=problem.mesh.topology.dim - 1,
-            )
-            df.fem.set_bc(v_reac.vector, bc_generator_z.bcs)
-            computed_force_z = -df.fem.assemble_scalar(df.fem.form(ufl.action(problem.residual, v_reac)))
-            reaction_force_vector.append(computed_force_z)
-
-        self.data.append(reaction_force_vector)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["surface"] = self.surface_dict
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg.newton
diff --git a/src/fenicsxconcrete/sensor_definition/sensor_schema.py b/src/fenicsxconcrete/sensor_definition/sensor_schema.py
deleted file mode 100644
index 86e8507..0000000
--- a/src/fenicsxconcrete/sensor_definition/sensor_schema.py
+++ /dev/null
@@ -1,158 +0,0 @@
-def generate_sensor_schema() -> dict:
-    """Function that returns the sensor schema. Necessary to include the schema in the package accessible.
-
-    Returns:
-      Schema for sensor's list metadata
-    """
-
-    schema = {
-        "$schema": "http://json-schema.org/2020-12/schema#",
-        "title": "SensorsList",
-        "type": "object",
-        "properties": {
-            "sensors": {
-                "type": "array",
-                "items": {
-                    "oneOf": [
-                        {"$ref": "#/definitions/BaseSensor"},
-                        {"$ref": "#/definitions/PointSensor"},
-                        {"$ref": "#/definitions/DisplacementSensor"},
-                        {"$ref": "#/definitions/TemperatureSensor"},
-                        {"$ref": "#/definitions/ReactionForceSensor"},
-                        {"$ref": "#/definitions/StrainSensor"},
-                        {"$ref": "#/definitions/StressSensor"},
-                        {"$ref": "#/definitions/YoungsModulusSensor"},
-                        {"$ref": "#/definitions/DOHSensor"},
-                    ]
-                },
-            }
-        },
-        "definitions": {
-            "baseSensorProperties": {
-                "type": "object",
-                "properties": {
-                    "id": {"type": "string", "description": "A unique identifier for the sensor"},
-                    "type": {"type": "string", "description": "The python class for the sensor"},
-                    "units": {"type": "string", "description": "The unit of measurement for the sensor"},
-                    "dimensionality": {
-                        "type": "string",
-                        "description": "The dimensionality of measurement for the sensor between brackets []",
-                    },
-                    "sensor_file": {
-                        "type": "string",
-                        "description": "Python file where the sensor is defined whithout extension",
-                    },
-                },
-                "required": ["id", "type", "units", "dimensionality"],
-            },
-            "pointSensorProperties": {
-                "allOf": [
-                    {"$ref": "#/definitions/baseSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"where": {"type": "array", "description": "Location of the sensor"}},
-                        "required": ["where"],
-                    },
-                ]
-            },
-            "BaseSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/baseSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "BaseSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "PointSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "PointSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "DisplacementSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "DisplacementSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "TemperatureSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "TemperatureSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "ReactionForceSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/baseSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {
-                            "type": {"const": "ReactionForceSensor", "description": "The type of sensor"},
-                            "surface": {
-                                "type": "string",
-                                "description": "Surface where the reactionforce is measured",
-                            },
-                        },
-                        "required": ["type", "surface"],
-                    },
-                ]
-            },
-            "StrainSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "StrainSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "StressSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "StressSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "YoungsModulusSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {
-                            "type": {"const": "YoungsModulusSensor", "description": "The type of sensor"},
-                        },
-                        "required": ["type"],
-                    },
-                ]
-            },
-            "DOHSensor": {
-                "allOf": [
-                    {"$ref": "#/definitions/pointSensorProperties"},
-                    {
-                        "type": "object",
-                        "properties": {"type": {"const": "DOHSensor", "description": "The type of sensor"}},
-                        "required": ["type"],
-                    },
-                ]
-            },
-        },
-    }
-    return schema
diff --git a/src/fenicsxconcrete/sensor_definition/strain_sensor.py b/src/fenicsxconcrete/sensor_definition/strain_sensor.py
deleted file mode 100644
index 26b4ad9..0000000
--- a/src/fenicsxconcrete/sensor_definition/strain_sensor.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-import ufl
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import project, ureg
-
-
-class StrainSensor(PointSensor):
-    """A sensor that measures strain at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The strain value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-
-        try:
-            strain = problem.q_fields.strain
-            assert strain is not None
-        except AssertionError:
-            raise Exception("Strain not defined in problem")
-
-        strain_function = project(
-            strain,  # stress fct from problem
-            df.fem.TensorFunctionSpace(problem.experiment.mesh, problem.q_fields.plot_space_type),  # tensor space
-            problem.q_fields.measure,
-        )
-        # project stress onto visualization space
-
-        # finding the cells corresponding to the point
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to stress
-        strain_data = strain_function.eval([self.where], cells)
-
-        self.data.append(strain_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg("")
diff --git a/src/fenicsxconcrete/sensor_definition/stress_sensor.py b/src/fenicsxconcrete/sensor_definition/stress_sensor.py
deleted file mode 100644
index 305675f..0000000
--- a/src/fenicsxconcrete/sensor_definition/stress_sensor.py
+++ /dev/null
@@ -1,80 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-import ufl
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import project, ureg
-
-
-class StressSensor(PointSensor):
-    """A sensor that measures stress at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The stress value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-        # project stress onto visualization space
-        try:
-            stress = problem.q_fields.stress
-            assert stress is not None
-        except AssertionError:
-            raise Exception("Stress not defined in problem")
-
-        stress_function = project(
-            stress,  # stress fct from problem
-            df.fem.TensorFunctionSpace(problem.experiment.mesh, problem.q_fields.plot_space_type),  # tensor space
-            problem.q_fields.measure,
-        )
-
-        # finding the cells corresponding to the point
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to stress
-        stress_data = stress_function.eval([self.where], cells)
-
-        self.data.append(stress_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg("N/m^2")
diff --git a/src/fenicsxconcrete/sensor_definition/temperature_sensor.py b/src/fenicsxconcrete/sensor_definition/temperature_sensor.py
deleted file mode 100644
index 05c8173..0000000
--- a/src/fenicsxconcrete/sensor_definition/temperature_sensor.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import ureg
-
-
-class TemperatureSensor(PointSensor):
-    """A sensor that measures temperature at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    # Type hints don't work here because they create a circular import :(
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The displacement value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-        # get displacements
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-
-        # for i, point in enumerate(self.where):
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to displacement
-        temperature_data = problem.fields.temperature.eval([self.where], cells)
-
-        self.data.append(temperature_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg("K")
diff --git a/src/fenicsxconcrete/sensor_definition/youngs_modulus_sensor.py b/src/fenicsxconcrete/sensor_definition/youngs_modulus_sensor.py
deleted file mode 100644
index cd521df..0000000
--- a/src/fenicsxconcrete/sensor_definition/youngs_modulus_sensor.py
+++ /dev/null
@@ -1,81 +0,0 @@
-from __future__ import annotations
-
-import os
-from typing import TYPE_CHECKING
-
-import dolfinx as df
-import ufl
-
-if TYPE_CHECKING:
-    from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-
-from fenicsxconcrete.sensor_definition.base_sensor import PointSensor
-from fenicsxconcrete.util import project, ureg
-
-
-class YoungsModulusSensor(PointSensor):
-    """A sensor that measures degree of hydration at a specific point
-
-    Attributes:
-        data: list of measured values
-        time: list of time stamps
-        units : pint definition of the base unit a sensor returns
-        name : name of the sensor, default is class name, but can be changed
-        where: location where the value is measured
-    """
-
-    def measure(self, problem: MaterialProblem) -> None:
-        """
-        The degree of hydration value at the defined point is added to the data list,
-        as well as the time t to the time list
-
-        Arguments:
-            problem : FEM problem object
-            t : time of measurement for time dependent problems, default is 1
-        """
-
-        try:
-            youngs_modulus = problem.q_fields.youngs_modulus
-            assert youngs_modulus is not None
-        except AssertionError:
-            raise Exception("Strain not defined in problem")
-
-        strain_function = project(
-            youngs_modulus,  # stress fct from problem
-            df.fem.FunctionSpace(problem.experiment.mesh, problem.q_fields.plot_space_type),  # tensor space
-            problem.q_fields.measure,
-        )
-        # project stress onto visualization space
-
-        # finding the cells corresponding to the point
-        bb_tree = df.geometry.BoundingBoxTree(problem.experiment.mesh, problem.experiment.mesh.topology.dim)
-        cells = []
-
-        # Find cells whose bounding-box collide with the points
-        cell_candidates = df.geometry.compute_collisions(bb_tree, [self.where])
-
-        # Choose one of the cells that contains the point
-        colliding_cells = df.geometry.compute_colliding_cells(problem.experiment.mesh, cell_candidates, [self.where])
-        if len(colliding_cells.links(0)) > 0:
-            cells.append(colliding_cells.links(0)[0])
-
-        # adding correct units to stress
-        strain_data = strain_function.eval([self.where], cells)
-
-        self.data.append(strain_data)
-        self.time.append(problem.time)
-
-    def report_metadata(self) -> dict:
-        """Generates dictionary with the metadata of this sensor"""
-        metadata = super().report_metadata()
-        metadata["sensor_file"] = os.path.splitext(os.path.basename(__file__))[0]
-        return metadata
-
-    @staticmethod
-    def base_unit() -> ureg:
-        """Defines the base unit of this sensor
-
-        Returns:
-            the base unit as pint unit object
-        """
-        return ureg("N/m^2")
diff --git a/src/fenicsxconcrete/util/__init__.py b/src/fenicsxconcrete/util/__init__.py
deleted file mode 100644
index b48e8df..0000000
--- a/src/fenicsxconcrete/util/__init__.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from .logger import LogMixin
-from .mori_tanaka_homogenization import ConcreteHomogenization
-from .parameters import Parameters
-from .projection import project
-from .quadrature import QuadratureEvaluator, QuadratureRule
-from .unit_registry import ureg
diff --git a/src/fenicsxconcrete/util/logger.py b/src/fenicsxconcrete/util/logger.py
deleted file mode 100644
index 9ca2315..0000000
--- a/src/fenicsxconcrete/util/logger.py
+++ /dev/null
@@ -1,8 +0,0 @@
-import logging
-
-
-class LogMixin(object):
-    @property
-    def logger(self):
-        name = self.__class__.__module__
-        return logging.getLogger(name)
diff --git a/src/fenicsxconcrete/util/mori_tanaka_homogenization.py b/src/fenicsxconcrete/util/mori_tanaka_homogenization.py
deleted file mode 100644
index 7d6309d..0000000
--- a/src/fenicsxconcrete/util/mori_tanaka_homogenization.py
+++ /dev/null
@@ -1,409 +0,0 @@
-import numpy as np
-import pytest
-
-
-def get_e_nu_from_k_g(K: float, G: float) -> tuple[float, float]:
-    """
-    Computes Young's modulus and Poisson's ratio from bulk and shear modulus
-
-    Args:
-        K: bulk modulus
-        G: shear modulus
-
-    Returns:
-        Young's modulus and Poisson's ratio
-    """
-    E = 9 * K * G / (3 * K + G)
-    nu = (3 * K - 2 * G) / (2 * (3 * K + G))
-    return E, nu
-
-
-def get_k_g_from_e_nu(E: float, nu: float) -> tuple[float, float]:
-    """
-    Computes bulk and shear modulus from Young's modulus and Poisson's ratio
-
-    Args:
-        E: Young's modulus
-        nu: Poisson's ratio
-
-    Returns:
-        bulk and shear modulus
-    """
-    K = E / (3 * (1 - 2 * nu))
-    G = E / (2 * (1 + nu))
-    return K, G
-
-
-class ConcreteHomogenization:
-    """
-    Class to compute homogenized parameters for cement matrix and aggregates
-
-    Args:
-
-        E_matrix: Young's modulus of matrix material
-        nu_matrix: Poisson's Ratio of matrix material
-        fc_matrix: Compressive strength of the matrix
-        rho_matrix: Density of the matrix
-        kappa_matrix: Thermal conductivity of the matrix
-        C_matrix: Specific heat capacity of the matrix in energy per weight
-        Q_matrix: Heat release in energy per weight of binder
-    """
-
-    def __init__(
-        self,
-        E_matrix: float,
-        nu_matrix: float,
-        fc_matrix: float,
-        rho_matrix: float = 1.0,
-        kappa_matrix: float = 1.0,
-        C_matrix: float = 1.0,
-        Q_matrix: float = 1.0,
-    ) -> None:
-        self.E_matrix = E_matrix
-        self.nu_matrix = nu_matrix
-        self.fc_matrix = fc_matrix
-        self.kappa_matrix = kappa_matrix
-        self.C_matrix = C_matrix
-        self.rho_matrix = rho_matrix
-        self.Q_matrix = Q_matrix
-        self.vol_frac_matrix = 1
-        self.vol_frac_binder = 1  # when coated inclusions are considered these still count as binder volume
-        self.Q_vol_eff = self.Q_matrix * self.rho_matrix * self.vol_frac_binder
-
-        self.K_matrix, self.G_matrix = get_k_g_from_e_nu(E_matrix, nu_matrix)
-
-        # initial values
-        self.K_eff = self.K_matrix
-        self.G_eff = self.G_matrix
-        self.E_eff = E_matrix
-        self.nu_eff = nu_matrix
-        self.fc_eff = fc_matrix
-        self.kappa_eff = kappa_matrix
-        self.C_vol_eff = C_matrix * rho_matrix
-        self.rho_eff = rho_matrix
-
-        # list for inclusion values (all phases that are not matrix
-        self.n_incl = 0
-        self.vol_frac_incl = []
-
-        self.A_dill_vol_incl = []
-        self.A_dill_dev_incl = []
-        self.G_incl = []
-        self.K_incl = []
-        self.A_therm_incl = []  # thermal conductivity
-        self.kappa_incl = []
-        self.C_incl = []
-        self.rho_incl = []
-
-        # auxiliary factors following Eshelby solution [Eshely, 1957]
-        # required for uncoated computation
-        self.alpha_0 = (1 + nu_matrix) / (3 * (1 + nu_matrix))
-        self.beta_0 = 2 * (4 - 5 * nu_matrix) / (15 * (1 - nu_matrix))
-
-    def add_uncoated_particle(
-        self, E: float, nu: float, volume_fraction: float, rho: float = 1.0, kappa: float = 1.0, C: float = 1.0
-    ) -> None:
-        """
-        Adds a phase of uncoated material
-
-        the particles are assumed to be homogeneous and spherical
-        sets particle properties
-        setup function called
-
-        Args:
-        E: Young's modulus of particle material
-        nu: Poisson's Ratio of particle material
-        volume_fraction: Volume fraction of the particle within the composite
-        rho: Density
-        kappa: Thermal conductivity
-        C: Specific heat capacity in energy per weight
-
-        """
-        K, G = get_k_g_from_e_nu(E, nu)
-
-        A_dil_vol = self.K_matrix / (self.K_matrix + self.alpha_0 * (K - self.K_matrix))
-        A_dil_dev = self.G_matrix / (self.G_matrix + self.beta_0 * (G - self.G_matrix))
-
-        # thermal concentration factor
-        A_therm = 3 * self.kappa_matrix / (2 * self.kappa_matrix + kappa)
-
-        # update global fields
-        self.n_incl = self.n_incl + 1
-        self.vol_frac_incl.append(volume_fraction)
-        self.A_dill_vol_incl.append(A_dil_vol)
-        self.A_dill_dev_incl.append(A_dil_dev)
-        self.G_incl.append(G)
-        self.K_incl.append(K)
-        self.vol_frac_matrix = self.vol_frac_matrix - volume_fraction
-        self.vol_frac_binder = self.vol_frac_binder - volume_fraction
-        self.A_therm_incl.append(A_therm)
-        self.kappa_incl.append(kappa)
-        self.rho_incl.append(rho)
-        self.C_incl.append(C)
-
-        if self.vol_frac_matrix < 0:
-            raise Exception("Volume fraction of matrix can not be smaller than zero!")
-
-        self.update_effective_fields()
-
-    def add_coated_particle(
-        self,
-        E_inclusion: float,
-        nu_inclusion: float,
-        itz_ratio: float,
-        radius: float,
-        coat_thickness: float,
-        volume_fraction: float,
-        rho: float = 1.0,
-        kappa: float = 1.0,
-        C: float = 1.0,
-    ):
-        """
-        Adds a phase of coated material
-
-        the particles are assumed to be homogeneous and spherical, coated by degraded matrix material
-        the computation is based on the formulation of Herve-Zaoui,???? and taken from the paper of
-        .......,
-
-        sets partilce and coating properties
-        setup function called
-
-        Args:
-            E_inclusion: Young's modulus of particle material
-            nu_inclusion: Poisson's Ratio of particle material
-            itz_ratio: Value of the reduction of the stiffness of the material surrounding the particles
-            radius: Radius of particles
-            coat_thickness: Thickness of the coating
-            volume_fraction: Volume fraction of the particle within the composite
-            rho:  Density of the inclusion
-            k:  Thermal conductivity of the particle, the coat is ignored
-            C:  Specific heat capacity of the inclusion in energy per weight
-        """
-        # set values - inclusion, coating, matrix
-        E = np.array([E_inclusion, self.E_matrix * itz_ratio, self.E_matrix])
-        nu = np.array([nu_inclusion, self.nu_matrix, self.nu_matrix])
-
-        # list with radius for inclusion and coating
-        R = np.array([radius, radius + coat_thickness])
-
-        # compute volume fraction of itz
-        itz_vol_frac = (((radius + coat_thickness) / radius) ** 3 - 1) * volume_fraction
-
-        # compute shear and bulk modulus
-        # G = E / (2 * (1 + nu))  # G, shear modulus for the different phases
-        # K = E / (3 * (1 - 2 * nu))  # K, bulk modulus for the different phases
-        K, G = get_k_g_from_e_nu(E, nu)
-
-        # for the influence on the overall stiffness three auxiliary factor are computed for each of the two phases
-        # Q, A and B, to efficiently compute these many steps are computed first
-
-        # initialize two axillary matrices N(2 x 2) and M(4 x 4) for coated particle, on for each of the two phases
-        N = [np.empty((2, 2)), np.empty((2, 2))]
-        M = [np.empty((4, 4)), np.empty((4, 4))]
-
-        # loop over the two phases (inclusion, k=0 and coating, k=1)
-        self.x_list = [0, 0]
-        for k in range(2):
-            # more auxiliary variables a through f
-            a = G[k] / G[k + 1] * (7 + 5 * nu[k]) * (7 - 10 * nu[k + 1]) - (7 - 10 * nu[k]) * (7 + 5 * nu[k + 1])
-            b = G[k] / G[k + 1] * (7 + 5 * nu[k]) + 4 * (7 - 10 * nu[k])
-            c = (7 - 5 * nu[k + 1]) + 2 * (4 - 5 * nu[k + 1]) * G[k] / G[k + 1]
-            d = (7 + 5 * nu[k + 1]) + 4 * (7 - 10 * nu[k + 1]) * G[k] / G[k + 1]
-            e = 2 * (4 - 5 * nu[k]) + G[k] / G[k + 1] * (7 - 5 * nu[k])
-            f = (4 - 5 * nu[k]) * (7 - 5 * nu[k + 1]) - G[k] / G[k + 1] * (4 - 5 * nu[k + 1]) * (7 - 5 * nu[k])
-            alpha = G[k] / G[k + 1] - 1
-
-            self.x_list[k] = [G[k], G[k + 1], a, b, c, d, e, f, alpha]
-
-            M[k][0][0] = c / 3
-            M[k][0][1] = R[k] ** 2 * (3 * b - 7 * c) / (5 * (1 - 2 * nu[k]))
-            M[k][0][2] = -12 * alpha / (R[k] ** 5)
-            M[k][0][3] = 4 * (f - 27 * alpha) / (15 * R[k] ** 3 * (1 - 2 * nu[k]))
-            M[k][1][0] = 0
-            M[k][1][1] = b * (1 - 2 * nu[k + 1]) / (7 * (1 - 2 * nu[k]))
-            M[k][1][2] = -20 * alpha * (1 - 2 * nu[k + 1]) / (7 * R[k] ** 7)
-            M[k][1][3] = -12 * alpha * (1 - 2 * nu[k + 1]) / (7 * R[k] ** 5 * (1 - 2 * nu[k]))
-            M[k][2][0] = R[k] ** 5 * alpha / 2
-            M[k][2][1] = -R[k] ** 7 * (2 * a + 147 * alpha) / (70 * (1 - 2 * nu[k]))
-            M[k][2][2] = d / 7
-            M[k][2][3] = (
-                R[k] ** 2
-                * (105 * (1 - nu[k + 1]) + 12 * alpha * (7 - 10 * nu[k + 1]) - 7 * e)
-                / (35 * (1 - 2 * nu[k]))
-            )
-            M[k][3][0] = -5 * alpha * R[k] ** 3 * (1 - 2 * nu[k + 1]) / 6
-            M[k][3][1] = 7 * alpha * R[k] ** 5 * (1 - 2 * nu[k + 1]) / (2 * (1 - 2 * nu[k]))
-            M[k][3][2] = 0
-            M[k][3][3] = e * (1 - 2 * nu[k + 1]) / (3 * (1 - 2 * nu[k]))
-            # divide all by some factor
-            M[k] = M[k] / (5 * (1 - nu[k + 1]))
-
-            N[k][0][0] = 3 * K[k] + 4 * G[k + 1]
-            N[k][0][1] = 4 / R[k] ** 3 * (G[k + 1] - G[k])
-            N[k][1][0] = 3 * R[k] ** 3 * (K[k + 1] - K[k])
-            N[k][1][1] = 3 * K[k + 1] + 4 * G[k]
-
-            N[k] = N[k] / (3 * K[k + 1] + 4 * G[k + 1])
-
-        # initialize more auxiliary fields Q, P, W, A, B
-        Q = [[], []]
-        P = [[], []]
-        A = [[], []]
-        B = [[], []]
-
-        Q[0] = N[0]
-        Q[1] = N[1].dot(N[0])
-
-        P[0] = M[0]
-        P[1] = M[1].dot(M[0])
-
-        W = (
-            1
-            / (P[1][1][1] * P[1][0][0] - P[1][0][1] * P[1][1][0])
-            * P[0].dot(np.array([[P[1][1][1]], [-P[1][1][0]], [0], [0]]))
-        )
-
-        A[0] = P[1][1][1] / (P[1][1][1] * P[1][0][0] - P[1][0][1] * P[1][1][0])
-        A[1] = W[0][0]
-
-        B[0] = -P[1][1][0] / (P[1][1][1] * P[1][0][0] - P[1][0][1] * P[1][1][0])
-        B[1] = W[1][0]
-
-        # finally the required dillition factors, volumetric and deviatoric are computed!
-
-        A_dil_vol_incl = 1 / Q[1][0][0]
-        A_dil_vol_coat = Q[0][0][0] / Q[1][0][0]
-        A_dil_dev_incl = A[0] - 21 / 5 * R[0] ** 2 / (1 - 2 * nu[0]) * B[0]
-        A_dil_dev_coat = A[1] - 21 / 5 * (R[1] ** 5 - R[0] ** 5) / ((1 - 2 * nu[1]) * (R[1] ** 3 - R[0] ** 3)) * B[1]
-
-        # thermal concentration factor
-        # coating is set to matrix material
-        A_therm = 3 * self.kappa_matrix / (2 * self.kappa_matrix + kappa)
-
-        # update global fields
-        # inclusion data
-        self.vol_frac_incl.append(volume_fraction)
-        self.A_dill_vol_incl.append(A_dil_vol_incl)
-        self.A_dill_dev_incl.append(A_dil_dev_incl)
-        self.G_incl.append(G[0])
-        self.K_incl.append(K[0])
-        self.A_therm_incl.append(A_therm)
-        self.kappa_incl.append(kappa)
-        self.rho_incl.append(rho)
-        self.C_incl.append(C)
-        # coating data
-        self.vol_frac_incl.append(itz_vol_frac)
-        self.A_dill_vol_incl.append(A_dil_vol_coat)
-        self.A_dill_dev_incl.append(A_dil_dev_coat)
-        self.G_incl.append(G[1])
-        self.K_incl.append(K[1])
-        self.A_therm_incl.append(1)  # coating is set to matrix material
-        self.kappa_incl.append(self.kappa_matrix)
-        self.rho_incl.append(self.rho_matrix)
-        self.C_incl.append(self.C_matrix)
-        # overall infos
-        self.n_incl = self.n_incl + 2
-
-        self.vol_frac_matrix = self.vol_frac_matrix - volume_fraction - itz_vol_frac
-        self.vol_frac_binder = self.vol_frac_binder - volume_fraction
-
-        if self.vol_frac_matrix < 0:
-            raise Exception("Volume fraction of matrix can not be smaller than zero!")
-
-        self.update_effective_fields()
-
-    def update_effective_fields(self) -> None:
-        K_eff_numerator = self.vol_frac_matrix * self.K_matrix
-        K_eff_denominator = self.vol_frac_matrix
-        G_eff_numerator = self.vol_frac_matrix * self.G_matrix
-        G_eff_denominator = self.vol_frac_matrix
-        kappa_eff_numerator = self.vol_frac_matrix * self.kappa_matrix
-        kappa_eff_denominator = self.vol_frac_matrix
-        self.rho_eff = self.vol_frac_matrix * self.rho_matrix
-        self.C_vol_eff = self.vol_frac_matrix * self.C_matrix * self.rho_matrix
-        vol_test = self.vol_frac_matrix
-
-        for i in range(self.n_incl):
-            K_eff_numerator += self.vol_frac_incl[i] * self.K_incl[i] * self.A_dill_vol_incl[i]
-            K_eff_denominator += self.vol_frac_incl[i] * self.A_dill_vol_incl[i]
-            G_eff_numerator += self.vol_frac_incl[i] * self.G_incl[i] * self.A_dill_dev_incl[i]
-            G_eff_denominator += self.vol_frac_incl[i] * self.A_dill_dev_incl[i]
-            kappa_eff_numerator += self.vol_frac_incl[i] * self.kappa_incl[i] * self.A_therm_incl[i]
-            kappa_eff_denominator += self.vol_frac_incl[i] * self.A_therm_incl[i]
-            self.rho_eff += self.vol_frac_incl[i] * self.rho_incl[i]
-            self.C_vol_eff += self.vol_frac_incl[i] * self.C_incl[i] * self.rho_incl[i]
-            vol_test += self.vol_frac_incl[i]
-
-        assert vol_test == pytest.approx(1)  # sanity check that vol fraction have been corretly computed
-
-        # compute effective properties
-        self.K_eff = K_eff_numerator / K_eff_denominator
-        self.G_eff = G_eff_numerator / G_eff_denominator
-        self.E_eff = 9 * self.K_eff * self.G_eff / (3 * self.K_eff + self.G_eff)
-        self.nu_eff = (3 * self.K_eff - 2 * self.G_eff) / (2 * (3 * self.K_eff + self.G_eff))
-
-        self.kappa_eff = kappa_eff_numerator / kappa_eff_denominator
-
-        # Mori-Tanaka factors for strength estimate
-        A_MT_K = 1 / K_eff_denominator
-        A_MT_G = 1 / G_eff_denominator
-
-        ii = np.array(
-            [
-                [1, 1, 1, 0, 0, 0],
-                [1, 1, 1, 0, 0, 0],
-                [1, 1, 1, 0, 0, 0],
-                [0, 0, 0, 0, 0, 0],
-                [0, 0, 0, 0, 0, 0],
-                [0, 0, 0, 0, 0, 0],
-            ]
-        )
-
-        Iv = 1 / 3 * ii
-        Id = np.eye(6) - Iv
-        A_MT = A_MT_K * Iv + A_MT_G * Id  # reversing volumetric and deviatoric split
-
-        # compute material stiffness matrix L_eff (elastic) and matrix
-        def L_from_k_and_g(k, g):
-            ii = np.array(
-                [
-                    [1, 1, 1, 0, 0, 0],
-                    [1, 1, 1, 0, 0, 0],
-                    [1, 1, 1, 0, 0, 0],
-                    [0, 0, 0, 0, 0, 0],
-                    [0, 0, 0, 0, 0, 0],
-                    [0, 0, 0, 0, 0, 0],
-                ]
-            )
-
-            Iv = 1 / 3 * ii
-            Id = np.eye(6) - Iv
-            L = 3 * k * Iv + 2 * g * Id
-
-            return L
-
-        L_matrix = L_from_k_and_g(self.K_matrix, self.G_matrix)
-        L_eff = L_from_k_and_g(self.K_eff, self.G_eff)
-
-        # todo continue with micro mech marble cement paper
-
-        # calculation of compressive strength (J2 criterion for the matrix)
-        sigma_0 = np.zeros((3, 3))
-        sigma_0[0][0] = self.fc_matrix
-        sigma_dev_0 = sigma_0 - 1 / 3 * np.trace(sigma_0) * np.eye(3)
-        j2_0 = np.sqrt(3 / 2 * sum(sum(np.multiply(sigma_dev_0, sigma_dev_0))))
-        strength_test = 1e-5  # "test" stress to be scaled
-        sigma_test = np.array([[strength_test], [0], [0], [0], [0], [0]])
-
-        B_MT = np.dot(np.dot(L_matrix, A_MT), np.linalg.inv(L_eff))
-        s0 = np.dot(B_MT, sigma_test)
-        stressInMatrix_tensor = np.array(
-            [[s0[0][0], s0[5][0], s0[4][0]], [s0[5][0], s0[1][0], s0[3][0]], [s0[4][0], s0[3][0], s0[2][0]]]
-        )
-        sigma_dev_matrix = stressInMatrix_tensor - 1 / 3 * np.trace(stressInMatrix_tensor) * np.eye(3)
-        j2_matrix = np.sqrt(3 / 2 * sum(sum(np.multiply(sigma_dev_matrix, sigma_dev_matrix))))
-        fc = j2_0 / j2_matrix * strength_test
-        self.fc_eff = fc
-
-        # update heat release
-        self.Q_vol_eff = self.Q_matrix * self.rho_matrix * self.vol_frac_binder
diff --git a/src/fenicsxconcrete/util/parameters.py b/src/fenicsxconcrete/util/parameters.py
deleted file mode 100644
index 8b37eb2..0000000
--- a/src/fenicsxconcrete/util/parameters.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from __future__ import annotations
-
-from collections import UserDict
-
-import pint
-
-
-class Parameters(UserDict):
-    """
-    A class that contains physical quantities for our model. Each new entry needs to be a pint quantity.
-    """
-
-    def __setitem__(self, key: str, value: pint.Quantity):
-        assert isinstance(value, pint.Quantity)
-        self.data[key] = value.to_base_units()
-
-    def __add__(self, other: Parameters | None) -> Parameters:
-        if other is None:
-            dic = self
-        else:
-            dic = Parameters({**self, **other})
-        return dic
-
-    def to_magnitude(self) -> dict[str, int | str | float]:
-        magnitude_dictionary = {}
-        for key in self.keys():
-            magnitude_dictionary[key] = self[key].magnitude
-
-        return magnitude_dictionary
diff --git a/src/fenicsxconcrete/util/projection.py b/src/fenicsxconcrete/util/projection.py
deleted file mode 100644
index fed7338..0000000
--- a/src/fenicsxconcrete/util/projection.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import dolfinx as df
-import ufl
-
-
-def project(
-    v: df.fem.Function | ufl.core.expr.Expr, V: df.fem.FunctionSpace, dx: ufl.Measure, u: df.fem.Function | None = None
-) -> None | df.fem.Function:
-    """
-    Calculates an approximation of `v` on the space `V`
-
-    Args:
-        v: The expression that we want to evaluate.
-        V: The function space on which we want to evaluate.
-        dx: The measure that is used for the integration. This is important, if
-        either `V` is a quadrature space or `v` is a ufl expression containing a quadrature space.
-        u: The output function.
-
-    Returns:
-        A function if `u` is None, otherwise `None`.
-
-    """
-    dv = ufl.TrialFunction(V)
-    v_ = ufl.TestFunction(V)
-    a_proj = ufl.inner(dv, v_) * dx
-    b_proj = ufl.inner(v, v_) * dx
-    if u is None:
-        solver = df.fem.petsc.LinearProblem(a_proj, b_proj)
-        uh = solver.solve()
-        return uh
-    else:
-        solver = df.fem.petsc.LinearProblem(a_proj, b_proj, u=u)
-        solver.solve()
diff --git a/src/fenicsxconcrete/util/quadrature.py b/src/fenicsxconcrete/util/quadrature.py
deleted file mode 100644
index 5421a7c..0000000
--- a/src/fenicsxconcrete/util/quadrature.py
+++ /dev/null
@@ -1,185 +0,0 @@
-import basix
-import dolfinx as df
-import numpy as np
-import ufl
-
-
-class QuadratureRule:
-    """
-    An object that takes care of the creation of a quadrature rule and the creation of
-    quadrature spaces.
-
-    Args:
-        type: The quadrature type. Examples are `basix.QuadratureType.Default`
-            for Gaussian quadrature and `basix.QuadratureType.gll` for Gauss-Lobatto quadrature.
-        cell_type: The type of FEM cell (`triangle, tetrahedron`,...).
-        degree: The maximal degree that the quadrature rule should be able to integrate.
-
-
-    Attributes:
-        type (basix.QuadratureType): The quadrature type.
-        cell_type (ufl.Cell): The type of FEM cell.
-        degree (int): The quadrature degree.
-        points (np.ndarray): The quadrature points on the refernce cell.
-        weights (np.ndarray): The weights of the quadrature rule.
-        dx (ufl.measure): The appropriate measure for integrating ufl forms
-            with the specified quadrature rule. **Always** use this measure
-            when integrating a form that includes a quadrature function.
-
-    """
-
-    def __init__(
-        self,
-        type: basix.QuadratureType = basix.QuadratureType.Default,
-        cell_type: ufl.Cell = ufl.triangle,
-        degree: int = 1,
-    ):
-        self.type = type
-        self.cell_type = cell_type
-        self.degree = degree
-        basix_cell = _ufl_cell_type_to_basix(self.cell_type)
-        self.points, self.weights = basix.make_quadrature(self.type, basix_cell, self.degree)
-        self.dx = ufl.dx(
-            metadata={
-                "quadrature_rule": self.type.name,
-                "quadrature_degree": self.degree,
-            }
-        )
-
-    def create_quadrature_space(self, mesh: df.mesh.Mesh) -> df.fem.FunctionSpace:
-        """
-        Args:
-            mesh: The mesh on which we want to create the space.
-
-        Returns:
-            A scalar quadrature `FunctionSpace` on `mesh`.
-        """
-        assert mesh.ufl_cell() == self.cell_type
-        Qe = ufl.FiniteElement(
-            "Quadrature",
-            self.cell_type,
-            self.degree,
-            quad_scheme=self.type.name,
-        )
-
-        return df.fem.FunctionSpace(mesh, Qe)
-
-    def create_quadrature_vector_space(self, mesh: df.mesh.Mesh, dim: int) -> df.fem.VectorFunctionSpace:
-        """
-        Args:
-            mesh: The mesh on which we want to create the space.
-            dim: The dimension of the vector at each dof.
-
-        Returns:
-            A vector valued quadrature `FunctionSpace` on `mesh`.
-        """
-        assert mesh.ufl_cell() == self.cell_type
-        Qe = ufl.VectorElement(
-            "Quadrature",
-            self.cell_type,
-            self.degree,
-            quad_scheme=self.type.name,
-            dim=dim,
-        )
-
-        return df.fem.FunctionSpace(mesh, Qe)
-
-    def create_quadrature_tensor_space(self, mesh: df.mesh.Mesh, shape: tuple[int, int]) -> df.fem.TensorFunctionSpace:
-        """
-        Args:
-            mesh: The mesh on which we want to create the space.
-            shape: The shape of the tensor at each dof.
-
-        Returns:
-            A tensor valued quadrature `FunctionSpace` on `mesh`.
-        """
-        assert mesh.ufl_cell() == self.cell_type
-        Qe = ufl.TensorElement(
-            "Quadrature",
-            self.cell_type,
-            self.degree,
-            quad_scheme=self.type.name,
-            shape=shape,
-        )
-
-        return df.fem.FunctionSpace(mesh, Qe)
-
-    def number_of_points(self, mesh: df.mesh.Mesh) -> int:
-        """
-        Args:
-            mesh: A mesh.
-        Returns:
-            Number of quadrature points that the QuadratureRule would generate on `mesh`
-        """
-        assert mesh.ufl_cell() == self.cell_type
-
-        map_c = mesh.topology.index_map(mesh.topology.dim)
-        self.num_cells = map_c.size_local
-        return self.num_cells * self.weights.size
-
-    def create_quadrature_array(self, mesh: df.mesh.Mesh, shape: int | tuple[int, int] = 1) -> np.ndarray:
-        """
-        Creates array of a quadrature function without creating the function or the function space.
-        This should be used, if operations on quadrature points are needed, but not all values are needed
-        in a ufl form.
-
-        Args:
-            mesh: A mesh.
-            shape: Local shape of the quadrature space. Example: `shape = 1` for Scalar,
-              `shape = (n, 1)` for vector and `shape = (n,n)` for Tensor.
-        Returns:
-            An array that is equivalent to `quadrature_function.vector.array`.
-        """
-        n_points = self.number_of_points(mesh)
-        n_local = shape if isinstance(shape, int) else shape[0] * shape[1]
-        return np.zeros(n_points * n_local)
-
-
-def _ufl_cell_type_to_basix(cell_type: ufl.Cell) -> basix.CellType:
-    conversion = {
-        ufl.interval: basix.CellType.interval,
-        ufl.triangle: basix.CellType.triangle,
-        ufl.tetrahedron: basix.CellType.tetrahedron,
-        ufl.quadrilateral: basix.CellType.quadrilateral,
-        ufl.hexahedron: basix.CellType.hexahedron,
-    }
-    return conversion[cell_type]
-
-
-class QuadratureEvaluator:
-    """
-    A class that evaluates a ufl expression on a quadrature space.
-
-    Args:
-        ufl_expression: The ufl expression.
-        mesh: The mesh on which we want to evaluate `ufl_expression`
-        rule: The quadrature rule.
-    """
-
-    def __init__(self, ufl_expression: ufl.core.expr.Expr, mesh: df.mesh.Mesh, rule: QuadratureRule) -> None:
-        assert mesh.ufl_cell() == rule.cell_type
-        map_c = mesh.topology.index_map(mesh.topology.dim)
-        self.num_cells = map_c.size_local
-
-        self.cells = np.arange(0, self.num_cells, dtype=np.int32)
-
-        self.expr = df.fem.Expression(ufl_expression, rule.points)
-
-    def evaluate(self, q: np.ndarray | df.fem.Function | None = None) -> np.ndarray | None:
-        """
-        Evaluate the expression.
-
-        Args:
-            q: The object we want to write the result to.
-
-        Returns:
-            A numpy array with the values if `q` is `None`, otherwise the result is written
-            on `q` and `None` is returned.
-        """
-        if q is None:
-            return self.expr.eval(self.cells)
-        elif isinstance(q, np.ndarray):
-            self.expr.eval(self.cells, values=q.reshape(self.num_cells, -1))
-        elif isinstance(q, df.fem.Function):
-            self.expr.eval(self.cells, values=q.vector.array.reshape(self.num_cells, -1))
-            q.x.scatter_forward()
diff --git a/src/fenicsxconcrete/util/unit_registry.py b/src/fenicsxconcrete/util/unit_registry.py
deleted file mode 100644
index bf5c5e6..0000000
--- a/src/fenicsxconcrete/util/unit_registry.py
+++ /dev/null
@@ -1,17 +0,0 @@
-"""
-This module contains the default unit registry that is used throughout the codebase.
-
-
-Attributes:
-    ureg (pint.UnitRegistry): The default unit registry.
-
-"""
-
-import pint
-
-ureg = pint.UnitRegistry(cache_folder=":auto:")  # initialize unit registry
-
-# user defined dimensions
-ureg.define("[moment] = [force] * [length]")
-ureg.define("[stress] = [force] / [length]**2")
-ureg.define("GWP = [global_warming_potential] = kg_CO2_eq = kg_C02_equivalent = kg_C02eq")
diff --git a/tests/README.md b/tests/README.md
deleted file mode 100644
index 8725577..0000000
--- a/tests/README.md
+++ /dev/null
@@ -1,3 +0,0 @@
-# Testfiles
-
-Please make sure to keep the same structure as in the package
\ No newline at end of file
diff --git a/tests/boundary_conditions/test_bcs_get_boundary_dofs.py b/tests/boundary_conditions/test_bcs_get_boundary_dofs.py
deleted file mode 100644
index 92c4428..0000000
--- a/tests/boundary_conditions/test_bcs_get_boundary_dofs.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-import numpy as np
-from mpi4py import MPI
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions, get_boundary_dofs
-from fenicsxconcrete.boundary_conditions.boundary import plane_at
-
-
-def num_square_boundary_dofs(n: int, deg: int, dim: int, num_edges: int = 4) -> int:
-    """returns number of dofs for a square
-    assumes quadrilateral cells and structured grid
-
-    there are (n+1) * num_edges - num_edges points
-    and if degree == 2: additional n*num_edges dofs (edges)
-    thus n * num_edges * degree dofs for degree in (1, 2)
-    times number of components (i.e. dim)
-    """
-    return num_edges * n * deg * dim
-
-
-def num_square_dofs(ncells: int, deg: int, dim: int) -> int:
-    if deg == 1:
-        n = ncells + 1
-    elif deg == 2:
-        n = 2 * ncells + 1
-    return n**2 * dim
-
-
-def test_whole_boundary() -> None:
-    """test for bcs on ∂Ω
-
-    compare options
-        (a) usage of BoundaryConditions
-        (b) helper function `get_boundary_dofs`
-
-    The difference is that in (a) it is done topologically,
-    whereas in (b) the input is *any* callable (geometrical marker).
-    """
-
-    n = 8
-    degree = 2
-    dim = 2
-
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", degree), dim=dim)
-
-    # option (a)
-    bc_handler = BoundaryConditions(domain, V)
-    boundary_facets = dolfinx.mesh.exterior_facet_indices(domain.topology)
-    u = dolfinx.fem.Function(V)
-    u.x.set(0.0)
-    bc_handler.add_dirichlet_bc(u, boundary_facets, method="topological", entity_dim=1)
-    bcs = bc_handler.bcs
-    dofs = bcs[0].dof_indices()[0]
-    assert dofs.size == num_square_boundary_dofs(n, degree, dim)
-
-    def everywhere(x):
-        return np.full(x[0].shape, True, dtype=bool)
-
-    # option (b)
-    dofs = get_boundary_dofs(V, everywhere)
-    assert dofs.size == num_square_boundary_dofs(n, degree, dim)
-
-
-def test_xy_plane() -> None:
-    n = 4
-    degree = 2
-    dim = 3
-
-    domain = dolfinx.mesh.create_unit_cube(MPI.COMM_WORLD, n, n, n, dolfinx.mesh.CellType.hexahedron)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", degree), dim=dim)
-    xy_plane = plane_at(0.0, "z")
-
-    # option (a)
-    bc_handler = BoundaryConditions(domain, V)
-    u = dolfinx.fem.Function(V)
-    u.x.set(0.0)
-    bc_handler.add_dirichlet_bc(u, xy_plane, method="geometrical")
-    bcs = bc_handler.bcs
-    dofs = bcs[0].dof_indices()[0]
-    assert dofs.size == num_square_dofs(n, degree, dim)
-
-    # option (b)
-    dofs = get_boundary_dofs(V, xy_plane)
-    assert dofs.size == num_square_dofs(n, degree, dim)
-
-
-if __name__ == "__main__":
-    test_whole_boundary()
-    test_xy_plane()
diff --git a/tests/boundary_conditions/test_boundary_create_facet_tags.py b/tests/boundary_conditions/test_boundary_create_facet_tags.py
deleted file mode 100644
index fb1fa9e..0000000
--- a/tests/boundary_conditions/test_boundary_create_facet_tags.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import dolfinx
-from mpi4py import MPI
-
-from fenicsxconcrete.boundary_conditions.boundary import create_facet_tags, plane_at
-
-
-def test_create_facet_tags() -> None:
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, 8, 8, dolfinx.mesh.CellType.triangle)
-    to_be_marked = {"bottom": (4, plane_at(0.0, "y")), "right": (5, plane_at(1.0, "x"))}
-    ft, marked = create_facet_tags(domain, to_be_marked)
-    ft_bottom = ft.find(4)
-    ft_right = ft.find(5)
-    assert ft_bottom.size == 8
-    assert ft_right.size == 8
-    assert "bottom" in marked.keys()
-    assert "right" in marked.keys()
-    assert 4 in marked.values()
-    assert 5 in marked.values()
-
-
-if __name__ == "__main__":
-    test_create_facet_tags()
diff --git a/tests/boundary_conditions/test_boundary_line_at.py b/tests/boundary_conditions/test_boundary_line_at.py
deleted file mode 100644
index 4235fe3..0000000
--- a/tests/boundary_conditions/test_boundary_line_at.py
+++ /dev/null
@@ -1,28 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-import numpy as np
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.boundary import line_at, plane_at
-
-
-def test_cube() -> None:
-    n = 4
-    domain = dolfinx.mesh.create_unit_cube(MPI.COMM_WORLD, n, n, n, dolfinx.mesh.CellType.hexahedron)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-
-    x_axis = line_at([0, 0], ["z", "y"])
-    y_axis = line_at([0, 0], ["z", "x"])
-    z_axis = line_at([0, 0], ["x", "y"])
-
-    axis_list = [x_axis, y_axis, z_axis]
-
-    for axis in axis_list:
-        dofs = dolfinx.fem.locate_dofs_geometrical(V, x_axis)
-        nodal_value = 42
-        bc = dolfinx.fem.dirichletbc(ScalarType(nodal_value), dofs, V)
-        ndofs = bc.dof_indices()[1]
-        assert ndofs == (n + 1)
-        assert bc.g.value == nodal_value
diff --git a/tests/boundary_conditions/test_boundary_plane_at.py b/tests/boundary_conditions/test_boundary_plane_at.py
deleted file mode 100644
index 9214d28..0000000
--- a/tests/boundary_conditions/test_boundary_plane_at.py
+++ /dev/null
@@ -1,72 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-import numpy as np
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.boundary import plane_at
-
-
-def test_square() -> None:
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, 8, 8, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-
-    bottom = plane_at(0.0, "y")
-    top = plane_at(1.0, "y")
-    left = plane_at(0.0, "x")
-    right = plane_at(1.0, "x")
-
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, bottom)
-    bc = dolfinx.fem.dirichletbc(ScalarType(42), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 9
-    assert bc.g.value == 42
-
-    def on_boundary(x):
-        return np.logical_or(top(x), bottom(x))
-
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, on_boundary)
-    bc = dolfinx.fem.dirichletbc(ScalarType(17), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 9 * 2
-    assert bc.g.value == 17
-
-    def origin(x):
-        return np.logical_and(left(x), bottom(x))
-
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, origin)
-    bc = dolfinx.fem.dirichletbc(ScalarType(21), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 1
-    assert bc.g.value == 21
-
-    def l_shaped_boundary(x):
-        return np.logical_or(top(x), right(x))
-
-    facet_dim = 1
-    boundary_facets = dolfinx.mesh.locate_entities_boundary(domain, facet_dim, l_shaped_boundary)
-    boundary_dofs = dolfinx.fem.locate_dofs_topological(V, facet_dim, boundary_facets)
-    bc = dolfinx.fem.dirichletbc(ScalarType(666), boundary_dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 17
-    assert bc.g.value == 666
-
-
-def test_cube() -> None:
-    nx, ny, nz = 4, 4, 4
-    domain = dolfinx.mesh.create_unit_cube(MPI.COMM_WORLD, nx, ny, nz, dolfinx.mesh.CellType.hexahedron)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-
-    xy_plane = plane_at(0.0, "z")
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, xy_plane)
-    nodal_value = 42
-    bc = dolfinx.fem.dirichletbc(ScalarType(nodal_value), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == (nx + 1) * (ny + 1)
-    assert bc.g.value == nodal_value
-
-
-if __name__ == "__main__":
-    test_square()
-    test_cube()
diff --git a/tests/boundary_conditions/test_boundary_point_at.py b/tests/boundary_conditions/test_boundary_point_at.py
deleted file mode 100644
index 9ed2561..0000000
--- a/tests/boundary_conditions/test_boundary_point_at.py
+++ /dev/null
@@ -1,59 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-import numpy as np
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.boundary import point_at
-
-
-def test_type_error() -> None:
-    """test TypeError in conversion to float"""
-    n = 10
-    domain = dolfinx.mesh.create_interval(MPI.COMM_WORLD, n, [0.0, 10.0])
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-    x = point_at(5)
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, x)
-    nodal_value = 42
-    bc = dolfinx.fem.dirichletbc(ScalarType(nodal_value), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 1
-    assert bc.g.value == nodal_value
-
-
-def test_function_space() -> None:
-    n = 101
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-
-    h = 1.0 / n
-    my_point = point_at(np.array([h * 2, h * 5]))
-
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, my_point)
-    bc = dolfinx.fem.dirichletbc(ScalarType(42), dofs, V)
-    ndofs = bc.dof_indices()[1]
-    assert ndofs == 1
-    assert bc.g.value == 42
-
-
-def test_vector_function_space() -> None:
-    n = 101
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 2))
-
-    # note the inconsistency in specifying the coordinates
-    # this is handled by `to_floats`
-    points = [0, [1.0], [0.0, 1.0], [1.0, 1.0, 0.0]]
-    nodal_dofs = np.array([], dtype=np.int32)
-    for x in points:
-        dofs = dolfinx.fem.locate_dofs_geometrical(V, point_at(x))
-        bc = dolfinx.fem.dirichletbc(np.array([0, 0], dtype=ScalarType), dofs, V)
-        nodal_dofs = np.append(nodal_dofs, bc.dof_indices()[0])
-    assert nodal_dofs.size == 8
-
-
-if __name__ == "__main__":
-    test_function_space()
-    test_vector_function_space()
-    test_type_error()
diff --git a/tests/boundary_conditions/test_boundary_within_range.py b/tests/boundary_conditions/test_boundary_within_range.py
deleted file mode 100644
index 176bceb..0000000
--- a/tests/boundary_conditions/test_boundary_within_range.py
+++ /dev/null
@@ -1,42 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.boundary import within_range
-
-
-def test_1d() -> None:
-    n = 10
-    domain = dolfinx.mesh.create_unit_interval(MPI.COMM_WORLD, n)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-    # test reordering of start and end
-    subdomain = within_range([0.75, 0.0, 0.0], [0.35, 0.0, 0.0])
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, subdomain)
-    bc = dolfinx.fem.dirichletbc(ScalarType(12), dofs, V)
-    num_dofs = bc.dof_indices()[1]
-    assert num_dofs == 4
-
-
-def test_2d() -> None:
-    n = 200
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 1))
-
-    Δx = Δy = 1 / (n + 1)  # exclude the right and top boundary, Δ must be smaller than cell size
-    boundary = within_range([0.0, 0.0, 0.0], [1.0 - Δx, 1.0 - Δy, 0.0])
-
-    facet_dim = 1
-    boundary_facets = dolfinx.mesh.locate_entities_boundary(domain, facet_dim, boundary)
-    boundary_dofs = dolfinx.fem.locate_dofs_topological(V, facet_dim, boundary_facets)
-    bc = dolfinx.fem.dirichletbc(ScalarType(666), boundary_dofs, V)
-    ndofs = bc.dof_indices()[1]
-    # n_boundary_dofs = (n-1) * 4 + 4
-    expected = (n - 1) * 2 + 1
-    assert ndofs == expected
-
-
-if __name__ == "__main__":
-    test_1d()
-    test_2d()
diff --git a/tests/boundary_conditions/test_dirichlet_bcs.py b/tests/boundary_conditions/test_dirichlet_bcs.py
deleted file mode 100644
index e201c71..0000000
--- a/tests/boundary_conditions/test_dirichlet_bcs.py
+++ /dev/null
@@ -1,238 +0,0 @@
-"""Based on Philipp Diercks implementation for multi"""
-
-import dolfinx
-import numpy as np
-import pytest
-from mpi4py import MPI
-from petsc4py.PETSc import ScalarType
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.boundary_conditions.boundary import create_facet_tags, plane_at
-
-"""Note: topological vs. geometrical
-
-It seems that `locate_dofs_geometrical` does not work with V.sub
-since at some point the dof coordinates need to be tabulated
-which is not possible for a subspace.
-However, one could always first locate the entities geometrically
-if this is more convenient.
-
-```python
-from dolfinx.fem import dirichletbc
-from dolfinx.mesh import locate_entities_boundary, locate_dofs_topological
-
-def plane_at(coordinate, dim):
-
-    def boundary(x):
-        return np.isclose(x[dim], coordinate)
-
-    return boundary
-
-bottom = plane_at(0., 1)
-
-bottom_boundary_facets = locate_entities_boundary(
-    domain, domain.topology.dim - 1, bottom
-)
-bottom_boundary_dofs_y = locate_dofs_topological(
-    V.sub(1), domain.topology.dim - 1, bottom_boundary_facets
-)
-fix_uy = dirichletbc(ScalarType(0), bottom_boundary_dofs_y, V.sub(1))
-```
-
-"""
-
-
-def test_vector_geom() -> None:
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, 8, 8, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 2))
-
-    bc_handler = BoundaryConditions(domain, V)
-
-    def left(x):
-        return np.isclose(x[0], 0.0)
-
-    tdim = domain.topology.dim
-    fdim = tdim - 1
-    domain.topology.create_connectivity(fdim, tdim)
-
-    # entire boundary; should have 64 * 2 dofs
-    # constrain entire boundary only for the x-component
-    boundary_facets = dolfinx.mesh.exterior_facet_indices(domain.topology)
-    bc_handler.add_dirichlet_bc(ScalarType(0), boundary_facets, sub=0, method="topological", entity_dim=fdim)
-    # constrain left boundary as well
-    zero = np.array([0.0, 0.0], dtype=ScalarType)
-    bc_handler.add_dirichlet_bc(zero, left, method="geometrical")
-
-    # use a Constant and constrain same dofs again for fun
-    bc_handler.add_dirichlet_bc(
-        dolfinx.fem.Constant(domain, ScalarType(0.0)),
-        boundary_facets,
-        sub=0,
-        entity_dim=fdim,
-    )
-
-    bcs = bc_handler.bcs
-    ndofs = 0
-    for bc in bcs:
-        ndofs += bc.dof_indices()[1]
-
-    assert ndofs == 64 + 34 + 64
-
-
-def test_vector_geom_component_wise() -> None:
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, 8, 8, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 2))
-
-    bc_handler = BoundaryConditions(domain, V)
-
-    def left(x):
-        return np.isclose(x[0], 0.0)
-
-    tdim = domain.topology.dim
-    fdim = tdim - 1
-    domain.topology.create_connectivity(fdim, tdim)
-
-    zero = ScalarType(0.0)
-    bc_handler.add_dirichlet_bc(zero, left, method="geometrical", sub=0, entity_dim=fdim)
-
-    bcs = bc_handler.bcs
-    ndofs = 0
-    for bc in bcs:
-        ndofs += bc.dof_indices()[1]
-
-    assert ndofs == 17
-
-
-def test_scalar_geom() -> None:
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, 8, 8)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-
-    bc_handler = BoundaryConditions(domain, V)
-
-    def left(x):
-        return np.isclose(x[0], 0.0)
-
-    bc_handler.add_dirichlet_bc(ScalarType(0), left, method="geometrical")
-
-    bcs = bc_handler.bcs
-    my_bc = bcs[0]
-
-    ndofs = my_bc.dof_indices()[1]
-    all_ndofs = domain.comm.allreduce(ndofs, op=MPI.SUM)
-    assert all_ndofs == 17
-    assert my_bc.g.value == 0.0
-
-
-def test_scalar_topo() -> None:
-    n = 20
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-
-    bc_handler = BoundaryConditions(domain, V)
-
-    tdim = domain.topology.dim
-    fdim = tdim - 1
-    domain.topology.create_connectivity(fdim, tdim)
-
-    # entire boundary; should have (n+1+n)*4 - 4 = 8n dofs
-    boundary_facets = dolfinx.mesh.exterior_facet_indices(domain.topology)
-    bc_handler.add_dirichlet_bc(ScalarType(0), boundary_facets, entity_dim=fdim)
-
-    bcs = bc_handler.bcs
-    my_bc = bcs[0]
-
-    ndofs = my_bc.dof_indices()[1]
-    all_ndofs = domain.comm.allreduce(ndofs, op=MPI.SUM)
-    assert all_ndofs == 8 * n
-    assert my_bc.g.value == 0.0
-
-
-def test_dirichletbc() -> None:
-    """add instance of dolfinx.fem.dirichletbc"""
-    n = 20
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-    bc_handler = BoundaryConditions(domain, V)
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, plane_at(0.0, "x"))
-    bc = dolfinx.fem.dirichletbc(ScalarType(0), dofs, V)
-    assert not bc_handler.has_dirichlet
-    bc_handler.add_dirichlet_bc(bc)
-    assert bc_handler.has_dirichlet
-
-
-def test_runtimeerror_geometrical() -> None:
-    """test method geometrical raises RuntimeError if sub
-    is not None"""
-    n = 20
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 2))
-    Vsub = V.sub(0)
-    bottom = plane_at(0.0, "y")
-    with pytest.raises(RuntimeError):
-        dolfinx.fem.locate_dofs_geometrical(Vsub, bottom)
-
-
-def test_boundary_as_int() -> None:
-    n = 5
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 2))
-    marker = 1011
-    bottom = {"bottom": (marker, plane_at(0.0, "y"))}
-    ft, marked = create_facet_tags(domain, bottom)
-
-    bch_wo_ft = BoundaryConditions(domain, V)
-    bc_handler = BoundaryConditions(domain, V, facet_tags=ft)
-
-    zero = ScalarType(0.0)
-    with pytest.raises(AttributeError):
-        bch_wo_ft.add_dirichlet_bc(zero, boundary=0, sub=0, entity_dim=1)
-    with pytest.raises(ValueError):
-        bc_handler.add_dirichlet_bc(zero, boundary=0, sub=0, entity_dim=1)
-    assert not bc_handler.has_dirichlet
-    bc_handler.add_dirichlet_bc(zero, boundary=marker, sub=0, entity_dim=1)
-    assert bc_handler.has_dirichlet
-
-
-def test_value_interpolation() -> None:
-    n = 50
-    domain = dolfinx.mesh.create_unit_interval(MPI.COMM_WORLD, n)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-    my_value = 17.2
-
-    def expression(x):
-        return np.ones_like(x[0]) * my_value
-
-    def everywhere(x):
-        return np.full(x[0].shape, True, dtype=bool)
-
-    bc_handler = BoundaryConditions(domain, V)
-    bc_handler.add_dirichlet_bc(expression, everywhere, entity_dim=0)
-    bc = bc_handler.bcs[0]
-    dofs = bc.dof_indices()[0]
-    assert np.allclose(np.ones_like(dofs) * my_value, bc.g.x.array[dofs])
-
-
-def test_clear() -> None:
-    n = 2
-    domain = dolfinx.mesh.create_unit_interval(MPI.COMM_WORLD, n)
-    V = dolfinx.fem.FunctionSpace(domain, ("Lagrange", 2))
-    bc_handler = BoundaryConditions(domain, V)
-    dofs = dolfinx.fem.locate_dofs_geometrical(V, plane_at(0.0, "x"))
-    bc = dolfinx.fem.dirichletbc(ScalarType(0), dofs, V)
-    assert not bc_handler.has_dirichlet
-    bc_handler.add_dirichlet_bc(bc)
-    assert bc_handler.has_dirichlet
-    bc_handler.clear(neumann=False)
-    assert not bc_handler.has_dirichlet
-
-
-if __name__ == "__main__":
-    test_scalar_geom()
-    test_scalar_topo()
-    test_vector_geom()
-    test_vector_geom_component_wise()
-    test_dirichletbc()
-    test_runtimeerror_geometrical()
-    test_boundary_as_int()
-    test_value_interpolation()
-    test_clear()
diff --git a/tests/boundary_conditions/test_neumann_bcs.py b/tests/boundary_conditions/test_neumann_bcs.py
deleted file mode 100644
index 1ba16f1..0000000
--- a/tests/boundary_conditions/test_neumann_bcs.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import dolfinx
-import numpy as np
-import pytest
-from mpi4py import MPI
-from petsc4py import PETSc
-
-from fenicsxconcrete.boundary_conditions.bcs import BoundaryConditions
-from fenicsxconcrete.boundary_conditions.boundary import create_facet_tags, plane_at
-
-
-def test_constant_traction() -> None:
-    n = 10
-    domain = dolfinx.mesh.create_unit_square(MPI.COMM_WORLD, n, n, dolfinx.mesh.CellType.quadrilateral)
-    V = dolfinx.fem.VectorFunctionSpace(domain, ("Lagrange", 1))
-    rmarker = 12
-    my_boundaries = {"right": (rmarker, plane_at(0.0, "x"))}
-    ft, mb = create_facet_tags(domain, my_boundaries)
-    bch = BoundaryConditions(domain, V, facet_tags=ft)
-
-    tmax = 234.0
-    traction = dolfinx.fem.Constant(domain, PETSc.ScalarType((tmax, 0.0)))
-    assert not bch.has_neumann
-    bch.add_neumann_bc(rmarker, traction)
-    assert bch.has_neumann
-
-    rhs = bch.neumann_bcs
-    form = dolfinx.fem.form(rhs)
-    vector = dolfinx.fem.petsc.create_vector(form)
-
-    with vector.localForm() as v_loc:
-        v_loc.set(0)
-    dolfinx.fem.petsc.assemble_vector(vector, form)
-    vector.ghostUpdate(addv=PETSc.InsertMode.ADD, mode=PETSc.ScatterMode.REVERSE)
-    f_ext = np.sum(vector[:])
-    assert np.isclose(tmax, f_ext)
-
-    bch.clear(dirichlet=False)
-    assert not bch.has_neumann
-
-    # try to add non-existent marker
-    with pytest.raises(ValueError):
-        bch.add_neumann_bc(666, traction)
-
-
-if __name__ == "__main__":
-    test_constant_traction()
diff --git a/tests/experimental_setup/test_experimental_setups.py b/tests/experimental_setup/test_experimental_setups.py
deleted file mode 100644
index 82e5981..0000000
--- a/tests/experimental_setup/test_experimental_setups.py
+++ /dev/null
@@ -1,110 +0,0 @@
-import copy
-
-import pint
-import pytest
-
-from fenicsxconcrete.experimental_setup.am_multiple_layers import AmMultipleLayers
-from fenicsxconcrete.experimental_setup.base_experiment import Experiment
-from fenicsxconcrete.experimental_setup.cantilever_beam import CantileverBeam
-from fenicsxconcrete.experimental_setup.compression_cylinder import CompressionCylinder
-from fenicsxconcrete.experimental_setup.simple_beam import SimpleBeam
-from fenicsxconcrete.experimental_setup.simple_cube import SimpleCube
-from fenicsxconcrete.experimental_setup.tensile_beam import TensileBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.util import ureg
-
-# # makes no sense anymore since the default parameter are used in each experiment or material problem
-# # plus was not tested since twice the same names!!
-# @pytest.mark.parametrize(
-#     "setup",
-#     [
-#         CantileverBeam,
-#         TensileBeam,
-#         SimpleBeam,
-#         CompressionCylinder,
-#         AmMultipleLayers,
-#         SimpleCube,
-#     ],
-# )
-# def test_default_parameters(setup: Experiment) -> None:
-#     """This function creates experimental setups with the respective default dictionaries
-#
-#     This makes sure all relevant values are included"""
-#     default_material = LinearElasticity
-#
-#     setup_parameters = setup.default_parameters()
-#
-#     # initialize with default parameters
-#     experiment = setup(setup_parameters)
-#
-#     # test that each parameter is truly required
-#     for key in setup_parameters:
-#         with pytest.raises(KeyError):
-#             less_parameters = copy.deepcopy(setup_parameters)
-#             less_parameters.pop(key)
-#             experiment = setup(less_parameters)
-#             fem_problem = default_material(experiment, default_material.default_parameters()[1])
-#             fem_problem.solve()
-
-
-@pytest.mark.parametrize(
-    "setup",
-    [
-        CantileverBeam,
-        TensileBeam,
-        SimpleBeam,
-        CompressionCylinder,
-        AmMultipleLayers,
-        SimpleCube,
-    ],
-)
-def test_default_parameters(setup: Experiment) -> None:
-    """This function tests if the default_parameters are complete"""
-    # default_material = LinearElasticity
-
-    setup_parameters = setup.default_parameters()
-
-    try:
-        experiment = setup(setup_parameters)
-    except KeyError:
-        print("default parameter dictionary is wrong")
-        raise ValueError
-
-
-# to imporve coverage, I want to test the error messages
-@pytest.mark.parametrize(
-    "setup",
-    [
-        CantileverBeam,
-        TensileBeam,
-        SimpleBeam,
-        CompressionCylinder,
-        AmMultipleLayers,
-        SimpleCube,
-    ],
-)
-def test_default_parameters(setup: Experiment) -> None:
-    setup_parameters = setup.default_parameters()
-
-    with pytest.raises(ValueError):
-        setup_parameters["dim"] = 4 * ureg("")  # there is no 4D setup
-        test_setup = setup(setup_parameters)
-
-
-@pytest.mark.parametrize(
-    "setup",
-    [
-        CantileverBeam,
-        TensileBeam,
-        SimpleBeam,
-        CompressionCylinder,
-        AmMultipleLayers,
-        SimpleCube,
-    ],
-)
-def test_dimensionality_check(setup: Experiment) -> None:
-    setup_parameters = setup.default_parameters()
-
-    with pytest.raises(ValueError):
-        setup_parameters["dim"] = 3 * ureg("s")  # dimension should be dimensionless
-        test_setup = setup(setup_parameters)
diff --git a/tests/finite_element_problem/_generate_thermo_mechanical_data_fenics_concrete.py b/tests/finite_element_problem/_generate_thermo_mechanical_data_fenics_concrete.py
deleted file mode 100644
index 70c56c9..0000000
--- a/tests/finite_element_problem/_generate_thermo_mechanical_data_fenics_concrete.py
+++ /dev/null
@@ -1,127 +0,0 @@
-"""
-This file needs to run in an environment with version 
-(commit 13486645b01665b4da248edd268b1904b0b5b745 (HEAD -> master, tag: v0.9.0, origin/master, origin/HEAD))
-of FenicsConcrete https://github.com/BAMresearch/FenicsConcrete
-
-This file should not run during tests. It is only in this directory in order to generate data that will be compared 
-to the new implementation of the thermo mechanical model.
-"""
-
-try:
-    import fenics_concrete
-except ModuleNotFoundError:
-    raise ModuleNotFoundError(
-        """This file needs to run in an environment with version
-        (commit 13486645b01665b4da248edd268b1904b0b5b745 (HEAD -> master, tag: v0.9.0, origin/master, origin/HEAD))
-        of FenicsConcrete"""
-    )
-from pathlib import Path
-
-import numpy as np
-
-parameters = fenics_concrete.Parameters()  # using the current default values
-# general
-parameters["log_level"] = "WARNING"
-# mesh
-parameters["mesh_setting"] = "left/right"  # default boundary setting
-parameters["dim"] = 3
-parameters["mesh_density"] = 2
-# temperature boundary
-parameters["bc_setting"] = "full"  # default boundary setting
-parameters["T_0"] = 20  # inital concrete temperature
-parameters["T_bc1"] = 20  # temperature boundary value 1
-
-parameters["density"] = 2350  # in kg/m^3 density of concrete
-parameters["density_binder"] = 1440  # in kg/m^3 density of the binder
-parameters["themal_cond"] = 2.0  # effective thermal conductivity, approx in Wm^-3K^-1, concrete!
-# self.specific_heat_capacity = 9000  # effective specific heat capacity in J kg⁻1 K⁻1
-parameters["vol_heat_cap"] = 2.4e6  # volumetric heat cap J/(m3 K)
-parameters["b_ratio"] = 0.2  # volume percentage of binder
-parameters["Q_pot"] = 500e3  # potential heat per weight of binder in J/kg
-# p['Q_inf'] = self.Q_pot * self.density_binder * self.b_ratio  # potential heat per concrete volume in J/m3
-parameters["B1"] = 2.916e-4  # in 1/s
-parameters["B2"] = 0.0024229  # -
-parameters["eta"] = 5.554  # something about diffusion
-parameters["alpha_max"] = 0.87  # also possible to approximate based on equation with w/c
-parameters["alpha_tx"] = 0.68  # also possible to approximate based on equation with w/c
-parameters["E_act"] = 5653 * 8.3145  # activation energy in Jmol^-1
-parameters["T_ref"] = 25  # reference temperature in degree celsius
-# setting for temperature adjustment
-parameters["temp_adjust_law"] = "exponential"
-# polinomial degree
-parameters["degree"] = 2  # default boundary setting
-### paramters for mechanics problem
-parameters["E"] = 42000000  # Youngs Modulus N/m2 or something...
-parameters["nu"] = 0.2  # Poissons Ratio
-# required paramters for alpha to E mapping
-parameters["alpha_t"] = 0.2
-parameters["alpha_0"] = 0.05
-parameters["a_E"] = 0.6
-# required paramters for alpha to tensile and compressive stiffness mapping
-parameters["fc"] = 6210000
-parameters["a_fc"] = 1.2
-parameters["ft"] = 467000
-parameters["a_ft"] = 1.0
-
-experiment = fenics_concrete.ConcreteCubeExperiment(parameters)
-problem = fenics_concrete.ConcreteThermoMechanical(experiment=experiment, parameters=parameters, vmapoutput=False)
-
-
-E_sensor = fenics_concrete.sensors.YoungsModulusSensor((0.25, 0.25, 0.25))
-fc_sensor = fenics_concrete.sensors.CompressiveStrengthSensor((0.25, 0.25, 0.25))
-doh_sensor = fenics_concrete.sensors.DOHSensor((0.25, 0.25, 0.25))
-# t_sensor = fenics_concrete.sensors.TemperatureSensor((0.25, 0.25))
-
-
-problem.add_sensor(E_sensor)
-problem.add_sensor(fc_sensor)
-problem.add_sensor(doh_sensor)
-# problem.add_sensor(t_sensor)
-
-# data for time stepping
-dt = 3600  # 60 min step
-
-# set time step
-problem.set_timestep(dt)  # for time integration scheme
-
-# print(problem.p)
-# initialize time
-t = dt  # first time step time
-t_list = []
-u_list = []
-temperature_list = []
-doh = 0
-
-# import matplotlib.pyplot as plt
-# delta_alpha = np.linspace(0,0.006, 1000)
-
-# plt.plot(delta_alpha,[problem.temperature_problem.delta_alpha_fkt(delta_alpha_i, 0., 293.15) for delta_alpha_i in delta_alpha])
-# plt.show()
-
-while doh < parameters["alpha_tx"]:  # time
-    # solve temp-hydration-mechanics
-    print("solving at t=", t)
-    problem.solve(t=t)  # solving this
-    t_list.append(t)
-    u_list.append(problem.displacement.vector().get_local())
-    temperature_list.append(problem.temperature.vector().get_local())
-    # prepare next timestep
-    t += dt
-    # import sys
-    # sys.exit()
-
-    # get last measure value
-    doh = problem.sensors[doh_sensor.name].data[-1]
-dof_map_u = problem.displacement.function_space().tabulate_dof_coordinates()
-dof_map_t = problem.temperature.function_space().tabulate_dof_coordinates()
-np.savez(
-    Path(__file__).parent / "fenics_concrete_thermo_mechanical.npz",
-    t=np.array(t_list),
-    u=np.array(u_list),
-    T=np.array(temperature_list),
-    dof_map_u=dof_map_u,
-    dof_map_t=dof_map_t,
-    E=E_sensor.data,
-    fc=fc_sensor.data,
-    doh=doh_sensor.data,
-)
diff --git a/tests/finite_element_problem/fenics_concrete_thermo_mechanical.npz b/tests/finite_element_problem/fenics_concrete_thermo_mechanical.npz
deleted file mode 100644
index 2957b06..0000000
Binary files a/tests/finite_element_problem/fenics_concrete_thermo_mechanical.npz and /dev/null differ
diff --git a/tests/finite_element_problem/test_am_layers.py b/tests/finite_element_problem/test_am_layers.py
deleted file mode 100644
index 74dddde..0000000
--- a/tests/finite_element_problem/test_am_layers.py
+++ /dev/null
@@ -1,315 +0,0 @@
-import os
-from pathlib import Path
-
-import dolfinx as df
-import numpy as np
-import pytest
-
-from fenicsxconcrete.experimental_setup import AmMultipleLayers
-from fenicsxconcrete.finite_element_problem import ConcreteAM, ConcreteThixElasticModel
-from fenicsxconcrete.sensor_definition.reaction_force_sensor import ReactionForceSensor
-from fenicsxconcrete.sensor_definition.strain_sensor import StrainSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-from fenicsxconcrete.util import Parameters, QuadratureEvaluator, ureg
-
-
-def set_test_parameters(dim: int, mat_type: str = "thix") -> Parameters:
-    """set up a test parameter set
-
-    Args:
-        dim: dimension of problem
-
-    Returns: filled instance of Parameters
-
-    """
-    setup_parameters = {}
-
-    setup_parameters["dim"] = dim * ureg("")
-    # setup_parameters["stress_state"] = "plane_strain"
-    setup_parameters["num_layers"] = 5 * ureg("")  # changed in single layer test!!
-    setup_parameters["layer_height"] = 1 / 100 * ureg("m")  # y (2D), z (3D)
-    setup_parameters["layer_length"] = 50 / 100 * ureg("m")  # x
-    setup_parameters["layer_width"] = 5 / 100 * ureg("m")  # y (3D)
-
-    setup_parameters["num_elements_layer_length"] = 10 * ureg("")
-    setup_parameters["num_elements_layer_height"] = 1 * ureg("")
-    setup_parameters["num_elements_layer_width"] = 2 * ureg("")
-
-    if dim == 2:
-        setup_parameters["stress_state"] = "plane_stress" * ureg("")
-
-    # default material parameters from material problem
-
-    if dim == 3:
-        setup_parameters["q_degree"] = 4 * ureg("")
-
-    return setup_parameters
-
-
-@pytest.mark.parametrize("dimension", [2, 3])
-@pytest.mark.parametrize("factor", [1, 2])
-def test_am_single_layer(dimension: int, factor: int) -> None:
-    """single layer test
-
-    one layer build immediately and lying for a given time
-
-    Args:
-        dimension: dimension
-        factor: length of load_time = factor * dt
-    """
-
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_am_single_layer_{dimension}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exisits (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    # defining parameters
-    setup_parameters = set_test_parameters(dimension)
-    setup_parameters["num_layers"] = 1 * ureg("")
-
-    # solving parameters
-    solve_parameters = {}
-    solve_parameters["time"] = 6 * 60 * ureg("s")
-
-    # defining different loading
-    setup_parameters["dt"] = 60 * ureg("s")
-    setup_parameters["load_time"] = factor * setup_parameters["dt"]  # interval where load is applied linear over time
-
-    # setting up the problem
-    experiment = AmMultipleLayers(setup_parameters)
-
-    # problem = LinearElasticity(experiment, setup_parameters)
-    problem = ConcreteAM(
-        experiment, setup_parameters, nonlinear_problem=ConcreteThixElasticModel, pv_name=file_name, pv_path=data_path
-    )
-    problem.add_sensor(ReactionForceSensor())
-    problem.add_sensor(StressSensor([problem.p["layer_length"] / 2, 0, 0]))
-    problem.add_sensor(StrainSensor([problem.p["layer_length"] / 2, 0, 0]))
-
-    E_o_time = []
-    total_time = 6 * 60 * ureg("s")
-    while problem.time <= total_time.to_base_units().magnitude:
-        problem.solve()
-        problem.pv_plot()
-        print("computed disp", problem.time, problem.fields.displacement.x.array[:].max())
-        # # store Young's modulus over time
-        E_o_time.append(problem.youngsmodulus.vector.array[:].max())
-
-    # check reaction force
-    force_bottom_y = np.array(problem.sensors["ReactionForceSensor"].data)[:, -1]
-    dead_load = (
-        problem.p["g"]
-        * problem.p["rho"]
-        * problem.p["layer_length"]
-        * problem.p["num_layers"]
-        * problem.p["layer_height"]
-    )
-    if dimension == 2:
-        dead_load *= 1  # m
-    elif dimension == 3:
-        dead_load *= problem.p["layer_width"]
-
-    # dead load of full structure
-    print("Check", force_bottom_y, dead_load)
-    assert sum(force_bottom_y) == pytest.approx(-dead_load)
-
-    # check stresses change according to Emodul change
-    sig_o_time = np.array(problem.sensors["StressSensor"].data)[:, -1]
-    eps_o_time = np.array(problem.sensors["StrainSensor"].data)[:, -1]
-
-    if factor == 1:
-        # instance loading -> no changes
-        assert sum(np.diff(sig_o_time)) == pytest.approx(0, abs=1e-8)
-        assert sum(np.diff(eps_o_time)) == pytest.approx(0, abs=1e-8)
-    elif factor == 2:
-        # ratio sig/eps t=0 to sig/eps t=0+dt
-        E_ratio_computed = (sig_o_time[0] / eps_o_time[0]) / (np.diff(sig_o_time)[0] / np.diff(eps_o_time)[0])
-        assert E_ratio_computed == pytest.approx(E_o_time[0] / E_o_time[1])
-        # after second time step nothing should change anymore
-        assert sum(np.diff(sig_o_time)[factor - 1 : :]) == pytest.approx(0, abs=1e-8)
-        assert sum(np.diff(eps_o_time)[factor - 1 : :]) == pytest.approx(0, abs=1e-8)
-
-
-@pytest.mark.parametrize("dimension", [2])
-@pytest.mark.parametrize("mat", ["thix"])  # visco will be added next time
-def test_am_multiple_layer(dimension: int, mat: str, plot: bool = False) -> None:
-    """multiple layer test
-
-    several layers building over time one layer at once
-
-    Args:
-        dimension: dimension
-
-    """
-
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_am_multiple_layer_{dimension}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exists (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    # defining parameters
-    setup_parameters = set_test_parameters(dimension, mat_type=mat)
-
-    # defining different loading
-    time_layer = 20 * ureg("s")  # time to build one layer
-    setup_parameters["dt"] = time_layer / 4
-    setup_parameters["load_time"] = 2 * setup_parameters["dt"]  # interval where load is applied linear over time
-
-    # setting up the problem
-    experiment = AmMultipleLayers(setup_parameters)
-    if mat.lower() == "thix":
-        problem = ConcreteAM(
-            experiment,
-            setup_parameters,
-            nonlinear_problem=ConcreteThixElasticModel,
-            pv_name=file_name,
-            pv_path=data_path,
-        )
-    else:
-        print(f"nonlinear problem {mat} not yet implemented")
-
-    # initial path function describing layer activation
-    path_activation = define_path(
-        problem, time_layer.magnitude, t_0=-(setup_parameters["num_layers"].magnitude - 1) * time_layer.magnitude
-    )
-    problem.set_initial_path(path_activation)
-
-    problem.add_sensor(ReactionForceSensor())
-    problem.add_sensor(StressSensor([problem.p["layer_length"] / 2, 0, 0]))
-    problem.add_sensor(StrainSensor([problem.p["layer_length"] / 2, 0, 0]))
-
-    total_time = setup_parameters["num_layers"] * time_layer
-    while problem.time <= total_time.to_base_units().magnitude:
-        problem.solve()
-        problem.pv_plot()
-        print("computed disp", problem.time, problem.fields.displacement.x.array[:].max())
-
-    # check residual force bottom
-    force_bottom_y = np.array(problem.sensors["ReactionForceSensor"].data)[:, -1]
-    print("force", force_bottom_y)
-    dead_load = (
-        problem.p["g"]
-        * problem.p["rho"]
-        * problem.p["layer_length"]
-        * problem.p["num_layers"]
-        * problem.p["layer_height"]
-    )
-    if dimension == 2:
-        dead_load *= 1  # m
-    elif dimension == 3:
-        dead_load *= problem.p["layer_width"]
-
-    print("check", sum(force_bottom_y), dead_load)
-    assert sum(force_bottom_y) == pytest.approx(-dead_load)
-
-    # check E modulus evolution over structure (each layer different E)
-    if mat.lower() == "thix":
-        E_bottom_layer = ConcreteAM.E_fkt(
-            1,
-            problem.time,
-            {
-                "P0": problem.p["E_0"],
-                "R_P": problem.p["R_E"],
-                "A_P": problem.p["A_E"],
-                "tf_P": problem.p["tf_E"],
-                "age_0": problem.p["age_0"],
-            },
-        )
-        time_upper = problem.time - (problem.p["num_layers"] - 1) * time_layer.magnitude
-        E_upper_layer = ConcreteAM.E_fkt(
-            1,
-            time_upper,
-            {
-                "P0": problem.p["E_0"],
-                "R_P": problem.p["R_E"],
-                "A_P": problem.p["A_E"],
-                "tf_P": problem.p["tf_E"],
-                "age_0": problem.p["age_0"],
-            },
-        )
-
-        print("E_bottom, E_upper", E_bottom_layer, E_upper_layer)
-        print(problem.youngsmodulus.vector.array[:].min(), problem.youngsmodulus.vector.array[:].max())
-        assert problem.youngsmodulus.vector.array[:].min() == pytest.approx(E_upper_layer)
-        assert problem.youngsmodulus.vector.array[:].max() == pytest.approx(E_bottom_layer)
-    #
-    if plot:
-        # example plotting
-        strain_yy = np.array(problem.sensors["StrainSensor"].data)[:, -1]
-        time = []
-        [time.append(ti) for ti in problem.sensors["StrainSensor"].time]
-
-        import matplotlib.pylab as plt
-
-        plt.figure(1)
-        plt.plot([0] + time, [0] + list(strain_yy), "*-r")
-        plt.xlabel("process time")
-        plt.ylabel("sensor bottom middle strain_yy")
-        plt.show()
-
-
-def define_path(prob, t_diff, t_0=0):
-    """create path as layer wise at quadrature space
-
-    one layer by time
-
-    prob: problem
-    param: parameter dictionary
-    t_diff: time difference between each layer
-    t_0: start time for all (0 if static computation)
-                            (-end_time last layer if dynamic computation)
-    """
-
-    # init path time array
-    q_path = prob.rule.create_quadrature_array(prob.mesh, shape=1)
-
-    # get quadrature coordinates with work around since tabulate_dof_coordinates()[:] not possible for quadrature spaces!
-    V = df.fem.VectorFunctionSpace(prob.mesh, ("CG", prob.p["degree"]))
-    v_cg = df.fem.Function(V)
-    v_cg.interpolate(lambda x: (x[0], x[1]))
-    positions = QuadratureEvaluator(v_cg, prob.mesh, prob.rule)
-    x = positions.evaluate()
-    dof_map = np.reshape(x.flatten(), [len(q_path), 2])
-
-    # select layers only by layer height - y
-    y_CO = np.array(dof_map)[:, 1]
-    h_min = np.arange(0, prob.p["num_layers"] * prob.p["layer_height"], prob.p["layer_height"])
-    h_max = np.arange(
-        prob.p["layer_height"],
-        (prob.p["num_layers"] + 1) * prob.p["layer_height"],
-        prob.p["layer_height"],
-    )
-    # print("y_CO", y_CO)
-    # print("h_min", h_min)
-    # print("h_max", h_max)
-    new_path = np.zeros_like(q_path)
-    EPS = 1e-8
-    for i in range(0, len(h_min)):
-        layer_index = np.where((y_CO > h_min[i] - EPS) & (y_CO <= h_max[i] + EPS))
-        new_path[layer_index] = t_0 + (prob.p["num_layers"] - 1 - i) * t_diff
-
-    q_path = new_path
-
-    return q_path
-
-
-#
-# if __name__ == "__main__":
-#
-#     # test_am_single_layer(2, 2)
-#     #
-#     test_am_multiple_layer(2, "thix", True)
diff --git a/tests/finite_element_problem/test_base_material.py b/tests/finite_element_problem/test_base_material.py
deleted file mode 100644
index 0083c34..0000000
--- a/tests/finite_element_problem/test_base_material.py
+++ /dev/null
@@ -1,109 +0,0 @@
-import json
-import os
-from copy import deepcopy
-from pathlib import Path
-
-import pytest
-
-from fenicsxconcrete.experimental_setup.cantilever_beam import CantileverBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-
-
-def test_sensor_dict() -> None:
-    """This function tests the sensor dict"""
-
-    default_experiment, fem_parameters = LinearElasticity.default_parameters()
-    problem = LinearElasticity(default_experiment, fem_parameters)
-
-    sensor_location = [0.0, 0.0, 0.0]
-    sensor = DisplacementSensor([sensor_location])
-
-    # testing the renaming of multiple sensors
-    problem.add_sensor(sensor)
-    problem.add_sensor(sensor)
-    assert "DisplacementSensor2" in problem.sensors.keys()
-
-    # accessing as attribute
-    assert problem.sensors.DisplacementSensor2
-
-
-def test_sensor_error() -> None:
-    """This function tests the add sensor function"""
-
-    default_experiment, fem_parameters = LinearElasticity.default_parameters()
-    problem = LinearElasticity(default_experiment, fem_parameters)
-
-    with pytest.raises(ValueError):
-        problem.add_sensor("not a sensor")
-
-
-def test_sensor_options() -> None:
-    """This function tests the function of creating and deleting sensors"""
-
-    # setting up problem
-    setup_parameters = CantileverBeam.default_parameters()
-    default_setup, fem_parameters = LinearElasticity.default_parameters()
-
-    sensor_location = [setup_parameters["length"].magnitude, 0.0, 0.0]
-    sensor = DisplacementSensor(sensor_location)
-
-    # setting up the problem
-    experiment = CantileverBeam(setup_parameters)  # Specifies the domain, discretises it and apply Dirichlet BCs
-    problem = LinearElasticity(experiment, fem_parameters)
-
-    # check that no sensors yet exist
-    assert problem.sensors == {}
-
-    # add sensor
-    problem.add_sensor(sensor)
-
-    # check that sensor exists
-    assert problem.sensors != {}
-
-    # check that no data is in sensor
-    assert problem.sensors[sensor.name].data == []
-
-    # solving and plotting
-    problem.solve()
-
-    # check that some data is in sensor
-    measure = deepcopy(problem.sensors[sensor.name].data)
-    assert measure != []
-
-    # check export sensor data
-    problem.export_sensors_metadata(Path("sensors_metadata.json"))
-    expected_metadata = {
-        "sensors": [
-            {
-                "id": "DisplacementSensor",
-                "type": "DisplacementSensor",
-                "sensor_file": "displacement_sensor",
-                "units": "meter",
-                "dimensionality": "[length]",
-                "where": [1, 0.0, 0.0],
-            }
-        ]
-    }
-    with open("sensors_metadata.json", "r") as f:
-        sensor_metadata = json.load(f)
-    assert sensor_metadata == expected_metadata
-
-    # check cleaning of sensor data
-    problem.clean_sensor_data()
-    assert problem.sensors[sensor.name].data == []
-
-    # delete sensor
-    problem.delete_sensor()
-    assert problem.sensors == {}
-
-    # check import sensor data
-    problem.import_sensors_from_metadata(Path("sensors_metadata.json"))
-
-    os.remove("sensors_metadata.json")
-
-    # repeat solving and plotting
-    problem.solve()
-
-    # repeat check that some data is in imported sensor
-    assert problem.sensors[sensor.name].data[0] == pytest.approx(measure[0])
diff --git a/tests/finite_element_problem/test_default_dictionaries.py b/tests/finite_element_problem/test_default_dictionaries.py
deleted file mode 100644
index 0e9bfa8..0000000
--- a/tests/finite_element_problem/test_default_dictionaries.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import copy
-
-import pytest
-
-from fenicsxconcrete.finite_element_problem.base_material import MaterialProblem
-from fenicsxconcrete.finite_element_problem.concrete_am import ConcreteAM
-from fenicsxconcrete.finite_element_problem.concrete_thermo_mechanical import ConcreteThermoMechanical
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.util import ureg
-
-
-# @pytest.mark.parametrize("material_model", [LinearElasticity, ConcreteAM, ConcreteThermoMechanical])
-# def test_default_dictionaries(material_model: MaterialProblem) -> None:
-#     """This function creates experimental setups with the respective default dictionaries
-#
-#     This makes sure all relevant values are included"""
-#
-#     default_setup, default_parameters = material_model.default_parameters()
-#
-#     fem_problem = material_model(default_setup, default_parameters)
-#     fem_problem.solve()
-#
-#     # test that each parameter is truly required
-#     # a loop over all default parameters removes each on in turn and expects a key error from the initialized problem
-#     for key in default_parameters:
-#         with pytest.raises(KeyError) as ex:
-#             less_parameters = copy.deepcopy(default_parameters)
-#             less_parameters.pop(key)
-#             fem_problem = material_model(default_setup, less_parameters)
-#             fem_problem.solve()
-#             print(key, "seems to be an unneccessary key in the default dictionary")
-#         print(ex)
-# since the default parameter are used in each experiment or material problem this test makes no sence anymore
-@pytest.mark.parametrize("material_model", [LinearElasticity, ConcreteAM, ConcreteThermoMechanical])
-def test_dimensionality_check(material_model: MaterialProblem) -> None:
-
-    default_setup, default_parameters = material_model.default_parameters()
-
-    with pytest.raises(ValueError):
-        default_parameters["g"] = 3 * ureg("m")  # gravity should be m/s²
-        fem_problem = material_model(default_setup, default_parameters)
-
-
-@pytest.mark.parametrize("material_model", [LinearElasticity, ConcreteAM, ConcreteThermoMechanical])
-def test_default_parameters(material_model: MaterialProblem) -> None:
-    """This function tests if the default_parameters are complete"""
-    # default_material = LinearElasticity
-
-    default_setup, default_parameters = material_model.default_parameters()
-
-    try:
-        fem_problem = material_model(default_setup, default_parameters)
-        fem_problem.solve()
-    except KeyError:
-        print("default parameter dictionary is wrong")
-        raise ValueError
diff --git a/tests/finite_element_problem/test_hydration_function.py b/tests/finite_element_problem/test_hydration_function.py
deleted file mode 100644
index 25d2bbc..0000000
--- a/tests/finite_element_problem/test_hydration_function.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import numpy as np
-import pytest
-
-from fenicsxconcrete.finite_element_problem import ConcreteThermoMechanical
-from fenicsxconcrete.util import ureg
-
-
-def test_hydration_function():
-
-    T = ureg.Quantity(35.0, ureg.degC).to_base_units().magnitude
-    dt = 60 * 30
-    time_list = [40000]
-    parameter = {}
-    parameter["B1"] = 2.916e-4
-    parameter["B2"] = 0.0024229
-    parameter["eta"] = 5.554
-    parameter["alpha_max"] = 0.875
-    parameter["E_act"] = 47002
-    parameter["T_ref"] = ureg.Quantity(25.0, ureg.degC).to_base_units().magnitude
-    parameter["Q_pot"] = 500e3
-
-    # initiate material problem
-    experiment, parameters = ConcreteThermoMechanical.default_parameters()
-    material_problem = ConcreteThermoMechanical(experiment=experiment, parameters=parameters)
-    # get the respective function
-    hydration_fkt = material_problem.get_heat_of_hydration_ftk()
-
-    heat_list, doh_list = hydration_fkt(T, time_list, dt, parameter)
-    # print(heat_list)
-    # exit()
-    assert heat_list == pytest.approx(np.array([239.06484735]))
-    assert doh_list == pytest.approx(np.array([0.47812969]))
-    # assert heat_list == pytest.approx(np.array([169.36164423]))
-    # assert doh_list == pytest.approx(np.array([0.33872329]))
-    # problem.experiment.apply_displ_load(displacement)
-    # problem.solve()  # solving this
diff --git a/tests/finite_element_problem/test_linear_cantilever_beam.py b/tests/finite_element_problem/test_linear_cantilever_beam.py
deleted file mode 100644
index 8beae26..0000000
--- a/tests/finite_element_problem/test_linear_cantilever_beam.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import os
-from pathlib import Path
-
-import numpy as np
-import pytest
-
-from fenicsxconcrete.experimental_setup.cantilever_beam import CantileverBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.util import ureg
-
-
-@pytest.mark.parametrize(
-    "dimension,results",
-    [
-        [2, [-1.10366991e-06, -6.02823499e-06]],
-        [3, [-1.18487757e-06, 3.58357285e-10, -6.42126235e-06]],
-    ],
-)
-def test_linear_cantilever_beam(dimension: int, results: list[float]) -> None:
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_linear_cantilever_beam_{dimension}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exisits (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    setup_parameters = {}
-    setup_parameters["length"] = 1 * ureg("m")
-    setup_parameters["height"] = 0.3 * ureg("m")
-    setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-    setup_parameters["dim"] = dimension * ureg("")
-    setup_parameters["num_elements_length"] = 10 * ureg("")
-    setup_parameters["num_elements_height"] = 3 * ureg("")
-    setup_parameters["num_elements_width"] = 3 * ureg("")  # only relevant for 3D case
-
-    fem_parameters = {}
-    fem_parameters["rho"] = 7750 * ureg("kg/m^3")
-    fem_parameters["E"] = 210e9 * ureg("N/m^2")
-    fem_parameters["nu"] = 0.28 * ureg("")
-
-    # Defining sensor positions
-    # TODO: why do I need the third coordinate for a 2D problem?!?
-    sensor_location = [setup_parameters["length"].magnitude, 0.0, 0.0]
-    sensor = DisplacementSensor(sensor_location)
-
-    # setting up the problem
-    experiment = CantileverBeam(setup_parameters)  # Specifies the domain, discretises it and apply Dirichlet BCs
-
-    problem = LinearElasticity(experiment, fem_parameters, pv_name=file_name, pv_path=data_path)
-    problem.add_sensor(sensor)
-
-    # solving and plotting
-    problem.solve()
-    problem.pv_plot()
-
-    # check if files are created
-    for file in files:
-        assert file.is_file()
-
-    # check sensor output
-    displacement_data = problem.sensors["DisplacementSensor"].get_last_entry()
-    assert displacement_data.magnitude == pytest.approx(results)
-
-    # Second test
-    # test linearity of material problem
-    increase = 3
-    fem_parameters["E"] = fem_parameters["E"] * increase
-    problem2 = LinearElasticity(experiment, fem_parameters)
-    problem2.add_sensor(sensor)
-    problem2.solve()
-    displacement_data2 = problem2.sensors["DisplacementSensor"].get_last_entry()
-
-    assert displacement_data2.magnitude * increase == pytest.approx(displacement_data.magnitude)
-
-    # Third test
-    # solving several time steps - same result for each time step since no time dependent loads applied
-    time_end = 10.0 * ureg("s")
-    fem_parameters["dt"] = 2.0 * ureg("s")
-    problem3 = LinearElasticity(experiment, fem_parameters, pv_name=f"{file_name}_time", pv_path=data_path)
-    sensor1 = DisplacementSensor(sensor_location)  # re-initialization
-    problem3.add_sensor(sensor1)
-    while problem3.time < time_end.to_base_units().magnitude:
-        problem3.solve()
-        problem3.pv_plot()
-
-    displacement_data3 = problem3.sensors["DisplacementSensor"].get_last_entry()
-
-    # check displacement output over time
-    assert displacement_data3.magnitude * increase == pytest.approx(displacement_data.magnitude)
-    assert np.diff(np.array(problem3.sensors["DisplacementSensor"].data)[:, 0]) == pytest.approx(0.0)
-    assert np.diff(np.array(problem3.sensors["DisplacementSensor"].data)[:, 1]) == pytest.approx(0.0)
-    # check length of output in time and time step
-    assert len(problem3.sensors["DisplacementSensor"].time) == pytest.approx(int(problem3.time / problem3.p["dt"]))
-    assert np.mean(np.diff(problem3.sensors["DisplacementSensor"].time)) == pytest.approx(problem3.p["dt"])
diff --git a/tests/finite_element_problem/test_linear_cylinder.py b/tests/finite_element_problem/test_linear_cylinder.py
deleted file mode 100644
index 4835015..0000000
--- a/tests/finite_element_problem/test_linear_cylinder.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import numpy as np
-import pint
-import pytest
-
-from fenicsxconcrete.experimental_setup.compression_cylinder import CompressionCylinder
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.reaction_force_sensor import ReactionForceSensor
-from fenicsxconcrete.util import Parameters, ureg
-
-
-def simple_setup(
-    p: Parameters, displacement: float, bc_setting: pint.Quantity
-) -> tuple[float, dict[str, pint.Quantity]]:
-    parameters = {}
-    parameters["log_level"] = "WARNING" * ureg("")
-    parameters["bc_setting"] = bc_setting
-    parameters["mesh_density"] = 10 * ureg("")
-    parameters["E"] = 1023 * ureg("MPa")
-    parameters["nu"] = 0.0 * ureg("")
-    parameters["radius"] = 0.006 * ureg("m")
-    parameters["height"] = 0.012 * ureg("m")
-    parameters["dim"] = 3 * ureg("")
-    parameters["bc_setting"] = bc_setting * ureg("")
-    parameters["element_order"] = 2 * ureg("")
-    parameters["degree"] = 2 * ureg("")
-
-    parameters.update(p)
-
-    experiment = CompressionCylinder(parameters)
-    problem = LinearElasticity(experiment, parameters)
-    sensor = ReactionForceSensor()
-    problem.add_sensor(sensor)
-    problem.experiment.apply_displ_load(displacement)
-
-    problem.solve()  # solving this
-
-    # last measurement, parameter dict
-    return problem.sensors[sensor.name].get_last_entry().magnitude[-1], problem.parameters
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-@pytest.mark.parametrize("degree", [1, 2])
-@pytest.mark.parametrize("bc_setting", ["fixed", "free"])
-def test_force_response(bc_setting: int, degree: int, dim: str) -> None:
-    p = {}
-    p["dim"] = dim * ureg("")
-    p["bc_setting"] = bc_setting * ureg("")
-    p["degree"] = degree * ureg("")
-    displacement = -0.003 * ureg("m")
-
-    measured, fem_p = simple_setup(p, displacement, p["bc_setting"])
-
-    result = None
-    if dim == 2:
-        result = fem_p["E"] * fem_p["radius"] * 2 * displacement / fem_p["height"]
-    elif dim == 3:
-        result = fem_p["E"] * np.pi * fem_p["radius"] ** 2 * displacement / fem_p["height"]
-
-    assert measured == pytest.approx(result.magnitude, 0.05)
-
-
-@pytest.mark.parametrize("bc_setting", ["fixed", "free"])
-def test_errors_dimensions(bc_setting: str) -> None:
-    p = {}
-    displacement = -0.003 * ureg("m")
-    p["bc_setting"] = bc_setting * ureg("")
-    p["dim"] = 4 * ureg("")
-
-    with pytest.raises(ValueError):
-        measured, fem_p = simple_setup(p, displacement, p["bc_setting"])
-
-
-def test_errors_bc_setting() -> None:
-    p = {}
-    displacement = -0.003 * ureg("m")
-    p["bc_setting"] = "wrong" * ureg("")
-
-    with pytest.raises(ValueError):
-        measured, fem_p = simple_setup(p, displacement, p["bc_setting"])
diff --git a/tests/finite_element_problem/test_linear_simple_beam.py b/tests/finite_element_problem/test_linear_simple_beam.py
deleted file mode 100644
index 053f4c6..0000000
--- a/tests/finite_element_problem/test_linear_simple_beam.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import os
-from pathlib import Path
-
-import pytest
-
-from fenicsxconcrete.experimental_setup.simple_beam import SimpleBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.util import Parameters, ureg
-
-
-@pytest.mark.parametrize(
-    "dimension, results",
-    [
-        [2, [0.00105057, -0.01310806]],
-        [3, [1.13946512e-03, 1.42368783e-05, -1.42250453e-02]],
-    ],
-)
-def test_linear_simple_beam(dimension: int, results: list[float]) -> None:
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_linear_simple_beam_{dimension}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exists (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    setup_parameters = {}
-    setup_parameters["length"] = 10 * ureg("m")
-    setup_parameters["height"] = 0.5 * ureg("m")
-    setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-    setup_parameters["dim"] = dimension * ureg("")
-    setup_parameters["num_elements_length"] = 10 * ureg("")
-    setup_parameters["num_elements_height"] = 3 * ureg("")
-    setup_parameters["num_elements_width"] = 3 * ureg("")  # only relevant for 3D case
-    setup_parameters["load"] = 200 * ureg("kN/m^2")
-
-    fem_parameters = {}
-    fem_parameters["rho"] = 7750 * ureg("kg/m^3")
-    fem_parameters["E"] = 210e9 * ureg("N/m^2")
-    fem_parameters["nu"] = 0.28 * ureg("")
-
-    # Defining sensor positions
-    sensor_location = [setup_parameters["length"].magnitude / 2, 0.0, 0.0]
-    sensor = DisplacementSensor(sensor_location)
-
-    # setting up the problem
-    experiment = SimpleBeam(setup_parameters)  # Specifies the domain, discretises it and apply Dirichlet BCs
-    problem = LinearElasticity(experiment, fem_parameters, pv_name=file_name, pv_path=data_path)
-    problem.add_sensor(sensor)
-
-    # solving and plotting
-    problem.solve()
-    problem.pv_plot()
-
-    # check if files are created
-    for file in files:
-        assert file.is_file()
-
-    # check sensor output
-    displacement_data = problem.sensors["DisplacementSensor"].get_last_entry()
-    assert displacement_data.magnitude == pytest.approx(results, 1e-5)
diff --git a/tests/finite_element_problem/test_linear_simple_cube.py b/tests/finite_element_problem/test_linear_simple_cube.py
deleted file mode 100644
index 5a8ea2a..0000000
--- a/tests/finite_element_problem/test_linear_simple_cube.py
+++ /dev/null
@@ -1,157 +0,0 @@
-import os
-from pathlib import Path
-
-import numpy as np
-import pytest
-
-from fenicsxconcrete.experimental_setup.simple_cube import SimpleCube
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.sensor_definition.strain_sensor import StrainSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-from fenicsxconcrete.util import ureg
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-def test_disp(dim: int) -> None:
-    """uniaxial tension test for different dimensions (dim)"""
-
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_linear_uniaxial_{dim}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exisits (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    # defining experiment parameters
-    parameters = {}
-
-    parameters["dim"] = dim * ureg("")
-    parameters["num_elements_length"] = 2 * ureg("")
-    parameters["num_elements_height"] = 2 * ureg("")
-    parameters["num_elements_width"] = 2 * ureg("")
-
-    displacement = 0.01 * ureg("m")
-
-    parameters["rho"] = 7750 * ureg("kg/m^3")
-    parameters["E"] = 210e9 * ureg("N/m^2")
-    parameters["nu"] = 0.28 * ureg("")
-    parameters["strain_state"] = "uniaxial" * ureg("")
-
-    if dim == 2:
-        # change default stress_state
-        parameters["stress_state"] = "plane_stress" * ureg("")
-
-    # setting up the problem
-    experiment = SimpleCube(parameters)
-    problem = LinearElasticity(experiment, parameters, pv_name=file_name, pv_path=data_path)
-
-    if dim == 2:
-        sensor_location = [0.5, 0.5, 0.0]
-    elif dim == 3:
-        sensor_location = [0.5, 0.5, 0.5]
-
-    # add sensors
-    problem.add_sensor(StressSensor(sensor_location))
-    problem.add_sensor(StrainSensor(sensor_location))
-
-    # apply displacement load and solve
-    problem.experiment.apply_displ_load(displacement)
-    problem.solve()
-    problem.pv_plot()
-
-    # checks
-    analytic_eps = (displacement.to_base_units() / (1.0 * ureg("m"))).magnitude
-
-    strain_result = problem.sensors["StrainSensor"].get_last_entry().magnitude
-    stress_result = problem.sensors["StressSensor"].get_last_entry().magnitude
-    if dim == 2:
-        # strain in yy direction
-        assert strain_result[-1] == pytest.approx(analytic_eps)
-        # strain in xx direction
-        assert strain_result[0] == pytest.approx(-problem.parameters["nu"].magnitude * analytic_eps)
-        # strain in xy and yx direction
-        assert strain_result[1] == pytest.approx(strain_result[2])
-        assert strain_result[1] == pytest.approx(0.0)
-        # stress in yy direction
-        assert stress_result[-1] == pytest.approx((analytic_eps * problem.parameters["E"]).magnitude)
-
-    elif dim == 3:
-        # strain in zz direction
-        assert strain_result[-1] == pytest.approx(analytic_eps)
-        # strain in yy direction
-        assert strain_result[4] == pytest.approx(-problem.parameters["nu"].magnitude * analytic_eps)
-        # strain in xx direction
-        assert strain_result[0] == pytest.approx(-problem.parameters["nu"].magnitude * analytic_eps)
-        # shear strains
-        sum_mixed_strains = (
-            strain_result[1]  # xy
-            - strain_result[3]  # yx
-            - strain_result[2]  # xz
-            - strain_result[6]  # zx
-            - strain_result[5]  # yz
-            - strain_result[7]  # zy
-        )
-        assert sum_mixed_strains == pytest.approx(0.0)
-
-        # stress in zz direction
-        assert stress_result[-1] == pytest.approx((analytic_eps * problem.parameters["E"].magnitude))
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-def test_strain_state_error(dim: int) -> None:
-    # setup_parameters = SimpleCube.default_parameters()
-    setup_parameters = {}  # use default parameters
-    setup_parameters["dim"] = dim * ureg("")
-    setup_parameters["strain_state"] = "wrong" * ureg("")
-    setup = SimpleCube(setup_parameters)
-    default_setup, fem_parameters = LinearElasticity.default_parameters()
-    with pytest.raises(ValueError):
-        fem_problem = LinearElasticity(setup, fem_parameters)
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-@pytest.mark.parametrize("degree", [1, 2])
-def test_multiaxial_strain(dim: int, degree: int) -> None:
-    # setup_parameters = SimpleCube.default_parameters()
-    setup_parameters = {}  # use default parameters
-    setup_parameters["dim"] = dim * ureg("")
-    setup_parameters["degree"] = degree * ureg("")
-    setup_parameters["strain_state"] = "multiaxial" * ureg("")
-    setup = SimpleCube(setup_parameters)
-    default_setup, fem_parameters = LinearElasticity.default_parameters()
-    fem_problem = LinearElasticity(setup, fem_parameters)
-
-    displ = -0.01
-    fem_problem.experiment.apply_displ_load(displ * ureg("m"))
-
-    if dim == 2:
-        target = np.array([displ, displ])
-        sensor_location_corner = [fem_problem.p["length"], fem_problem.p["height"], 0.0]
-        sensor_location_center = [fem_problem.p["length"] / 2, fem_problem.p["height"] / 2, 0.0]
-    elif dim == 3:
-        target = np.array([displ, displ, displ])
-        sensor_location_corner = [fem_problem.p["length"], fem_problem.p["width"], fem_problem.p["height"]]
-        sensor_location_center = [
-            fem_problem.p["length"] / 2,
-            fem_problem.p["height"] / 2,
-            fem_problem.p["height"] / 2,
-        ]
-
-    sensor_corner = DisplacementSensor(where=sensor_location_corner, name="displacement_corner")
-    sensor_center = DisplacementSensor(where=sensor_location_center, name="displacement_center")
-
-    fem_problem.add_sensor(sensor_corner)
-    fem_problem.add_sensor(sensor_center)
-
-    fem_problem.solve()
-    result_corner = fem_problem.sensors.displacement_corner.get_last_entry().magnitude
-    result_center = fem_problem.sensors.displacement_center.get_last_entry().magnitude
-
-    assert result_corner == pytest.approx(target)
-    assert result_center == pytest.approx(target / 2)
diff --git a/tests/finite_element_problem/test_linear_tensile_beam.py b/tests/finite_element_problem/test_linear_tensile_beam.py
deleted file mode 100644
index a49e0ad..0000000
--- a/tests/finite_element_problem/test_linear_tensile_beam.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import os
-from pathlib import Path
-
-import pytest
-
-from fenicsxconcrete.experimental_setup.tensile_beam import TensileBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.util import Parameters, ureg
-
-
-@pytest.mark.parametrize(
-    "dimension,results",
-    [
-        [2, [8.71973440e-06, 5.12000403e-07]],
-        [3, [9.44327797e-06, 4.00000088e-07, 4.00000088e-07]],
-    ],
-)
-def test_linear_tensile_beam(dimension: int, results: list[float]) -> None:
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_linear_tensile_beam_{dimension}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exisits (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    setup_parameters = {}
-    setup_parameters["length"] = 1 * ureg("m")
-    setup_parameters["height"] = 0.3 * ureg("m")
-    setup_parameters["width"] = 0.3 * ureg("m")  # only relevant for 3D case
-    setup_parameters["dim"] = dimension * ureg("")
-    setup_parameters["num_elements_length"] = 10 * ureg("")
-    setup_parameters["num_elements_height"] = 3 * ureg("")
-    setup_parameters["num_elements_width"] = 3 * ureg("")  # only relevant for 3D case
-    setup_parameters["load"] = 2000 * ureg("kN")
-
-    fem_parameters = {}
-    fem_parameters["rho"] = 7750 * ureg("kg/m^3")
-    fem_parameters["E"] = 210e9 * ureg("N/m^2")
-    fem_parameters["nu"] = 0.28 * ureg("")
-
-    # Defining sensor positions
-    sensor_location = [setup_parameters["length"].magnitude, 0.0, 0.0]
-    sensor = DisplacementSensor(sensor_location)
-
-    # setting up the problem
-    experiment = TensileBeam(setup_parameters)  # Specifies the domain, discretises it and apply Dirichlet BCs
-    problem = LinearElasticity(experiment, fem_parameters, pv_name=file_name, pv_path=data_path)
-    problem.add_sensor(sensor)
-
-    # solving and plotting
-    problem.solve()
-    problem.pv_plot()
-
-    # check if files are created
-    for file in files:
-        assert file.is_file()
-
-    # check sensor output
-    displacement_data = problem.sensors["DisplacementSensor"].get_last_entry()
-    assert displacement_data.magnitude == pytest.approx(results)
diff --git a/tests/finite_element_problem/test_thermo_mechanical_cube.py b/tests/finite_element_problem/test_thermo_mechanical_cube.py
deleted file mode 100644
index cb1cefa..0000000
--- a/tests/finite_element_problem/test_thermo_mechanical_cube.py
+++ /dev/null
@@ -1,240 +0,0 @@
-import os
-from pathlib import Path
-
-import dolfinx as df
-import numpy as np
-import pytest
-from mpi4py import MPI
-
-from fenicsxconcrete.boundary_conditions import BoundaryConditions
-from fenicsxconcrete.experimental_setup import SimpleCube
-from fenicsxconcrete.finite_element_problem import ConcreteThermoMechanical, LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.sensor_definition.doh_sensor import DOHSensor
-from fenicsxconcrete.sensor_definition.strain_sensor import StrainSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-from fenicsxconcrete.sensor_definition.temperature_sensor import TemperatureSensor
-from fenicsxconcrete.sensor_definition.youngs_modulus_sensor import YoungsModulusSensor
-from fenicsxconcrete.util import ureg
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-def test_mechanical_only(dim: int) -> None:
-    # defining experiment parameters
-    parameters_exp = {}
-    parameters_exp["dim"] = dim * ureg("")
-    parameters_exp["num_elements_length"] = 2 * ureg("")
-    parameters_exp["num_elements_height"] = 2 * ureg("")
-    parameters_exp["num_elements_width"] = 2 * ureg("")
-    parameters_exp["strain_state"] = "uniaxial" * ureg("")
-
-    displacement = 0.01 * ureg("m")
-
-    parameters = {}
-    parameters["rho"] = 7750 * ureg("kg/m^3")
-    parameters["E"] = 210e9 * ureg("N/m^2")
-    parameters["nu"] = 0.28 * ureg("")
-
-    experiment = SimpleCube(parameters_exp)
-
-    _, parameters_thermo = ConcreteThermoMechanical.default_parameters()
-    parameters_thermo["nu"] = parameters["nu"].copy()
-    parameters_thermo["E_28"] = parameters["E"].copy()
-    parameters_thermo["q_degree"] = 4 * ureg("")
-
-    problem_thermo_mechanical = ConcreteThermoMechanical(
-        experiment, parameters_thermo, pv_name=f"thermo_mechanical_test_{dim}", pv_path=""
-    )
-
-    # apply displacement load and solve
-    experiment.apply_displ_load(displacement)
-    experiment.apply_body_force()
-
-    # problem_thermo_mechanical.experiment.apply_displ_load(displacement)
-    problem_thermo_mechanical.temperature_problem.q_alpha.vector.array[:] = parameters_thermo["alpha_max"].magnitude
-
-    problem_thermo_mechanical.mechanics_solver.solve(problem_thermo_mechanical.fields.displacement)
-
-    problem_thermo_mechanical.pv_plot()
-
-    # set E for the elastic problem
-    parameters["E"] = problem_thermo_mechanical.q_fields.youngs_modulus.vector.array[:][0] * ureg("N/m^2")
-
-    problem_elastic = LinearElasticity(experiment, parameters, pv_name=f"pure_mechanical_test_{dim}", pv_path="")
-
-    problem_elastic.solve()
-    problem_elastic.pv_plot()
-
-    assert problem_thermo_mechanical.q_fields.youngs_modulus.vector.array[:] == pytest.approx(
-        parameters["E"].magnitude
-    )
-
-    np.testing.assert_allclose(
-        problem_thermo_mechanical.fields.displacement.vector.array,
-        problem_elastic.fields.displacement.vector.array,
-        rtol=1e-4,
-    )
-
-
-class LegacyMinimalCube(SimpleCube):
-    def setup(self) -> None:
-        """Generates the mesh in 2D or 3D based on parameters
-
-        Raises:
-            ValueError: if dimension (self.p["dim"]) is not 2 or 3
-        """
-
-        self.logger.debug("setup mesh for %s", self.p["dim"])
-
-        if self.p["dim"] == 2:
-            # build a rectangular mesh
-            self.mesh = df.mesh.create_rectangle(
-                MPI.COMM_WORLD,
-                [
-                    [0.0, 0.0],
-                    [self.p["length"], self.p["height"]],
-                ],
-                [self.p["num_elements_length"], self.p["num_elements_height"]],
-                cell_type=df.mesh.CellType.triangle,
-            )
-        elif self.p["dim"] == 3:
-            self.mesh = df.mesh.create_box(
-                MPI.COMM_WORLD,
-                [
-                    [0.0, 0.0, 0.0],
-                    [self.p["length"], self.p["width"], self.p["height"]],
-                ],
-                [self.p["num_elements_length"], self.p["num_elements_width"], self.p["num_elements_height"]],
-                cell_type=df.mesh.CellType.tetrahedron,
-            )
-
-        else:
-            raise ValueError(f"wrong dimension {self.p['dim']} for problem setup")
-
-        # initialize variable top_displacement
-        self.top_displacement = df.fem.Constant(domain=self.mesh, c=0.0)  # applied via fkt: apply_displ_load(...)
-        self.use_body_force = False
-        self.temperature_bc = df.fem.Constant(domain=self.mesh, c=self.p["T_bc"])
-
-    def create_displacement_boundary(self, V: df.fem.FunctionSpace) -> list[df.fem.bcs.DirichletBCMetaClass]:
-        bc_generator = BoundaryConditions(self.mesh, V)
-
-        bc_generator.add_dirichlet_bc(
-            df.fem.Constant(self.mesh, np.zeros(self.p["dim"])),
-            boundary=self.boundary_bottom(),
-            method="geometrical",
-            entity_dim=self.mesh.topology.dim - 1,
-        )
-
-        return bc_generator.bcs
-
-
-@pytest.mark.parametrize("dim", [3])
-def test_hydration_with_body_forces(dim: int):
-    # This test relies on data from the old repository
-
-    parameters = {}  # using the current default values
-    # general
-    # parameters["log_level"] = "WARNING" * ureg("")
-    # mesh
-    # parameters["mesh_setting"] = "left/right" * ureg("") # default boundary setting
-    parameters["dim"] = dim * ureg("")
-    # parameters["mesh_density"] = 2 * ureg("")
-    parameters["length"] = 1.0 * ureg("m")
-    parameters["width"] = 1.0 * ureg("m")
-    parameters["height"] = 1.0 * ureg("m")
-
-    # Differs from the old repository
-    parameters["num_elements_length"] = 2 * ureg("")
-    parameters["num_elements_width"] = 2 * ureg("")
-    parameters["num_elements_height"] = 2 * ureg("")
-
-    # temperature boundary
-    # parameters["bc_setting"] = "full" * ureg("")
-    parameters["T_0"] = ureg.Quantity(20.0, ureg.degC)  # inital concrete temperature
-    parameters["T_bc1"] = ureg.Quantity(20.0, ureg.degC)  # temperature boundary value 1
-
-    # Differs from the old repository
-    parameters["rho"] = 2350 * ureg("kg/m^3")  # in kg/m^3 density of concrete
-
-    parameters["density_binder"] = 1440 * ureg("kg/m^3")  # in kg/m^3 density of the binder
-    parameters["thermal_cond"] = 2.0 * ureg("W/(m*K)")  # effective thermal conductivity, approx in W(mK)^-1, concrete!
-    # self.specific_heat_capacity = 9000  # effective specific heat capacity in J kg⁻1 K⁻1
-    parameters["vol_heat_cap"] = 2.4e6 * ureg("J/(m^3 * K)")  # volumetric heat cap J/(m3 K)
-    # parameters["b_ratio"] = 0.2  # volume percentage of binder
-    parameters["Q_pot"] = 500e3 * ureg("J/kg")  # potential heat per weight of binder in J/kg
-    parameters["Q_inf"] = 144000000 * ureg("J/m^3")
-    # p['Q_inf'] = self.Q_pot * self.density_binder * self.b_ratio  # potential heat per concrete volume in J/m3
-    parameters["B1"] = 2.916e-4 * ureg("1/s")  # in 1/s
-    parameters["B2"] = 0.0024229 * ureg("1/s")  # -
-    parameters["eta"] = 5.554 * ureg("")  # something about diffusion
-    parameters["alpha_max"] = 0.87 * ureg("")  # also possible to approximate based on equation with w/c
-    parameters["alpha_tx"] = 0.68 * ureg("")  # also possible to approximate based on equation with w/c
-    parameters["E_act"] = 5653 * 8.3145 * ureg("J*mol^-1")  # activation energy in Jmol^-1
-    parameters["T_ref"] = ureg.Quantity(25.0, ureg.degC)  # reference temperature in degree celsius
-    parameters["T_0"] = ureg.Quantity(20.0, ureg.degC)  # reference temperature in degree celsius
-    # setting for temperature adjustment
-    parameters["temp_adjust_law"] = "exponential" * ureg("")
-    # polinomial degree
-    parameters["degree"] = 2 * ureg("")  # default boundary setting
-    parameters["q_degree"] = 2 * ureg("")
-    ### paramters for mechanics problem
-    parameters["E_28"] = 42000000.0 * ureg("N/m^2")  # Youngs Modulus N/m2 or something...
-    parameters["nu"] = 0.2 * ureg("")  # Poissons Ratio
-    # required paramters for alpha to E mapping
-    parameters["alpha_t"] = 0.2 * ureg("")
-    parameters["alpha_0"] = 0.05 * ureg("")
-    parameters["a_E"] = 0.6 * ureg("")
-    # required paramters for alpha to tensile and compressive stiffness mapping
-    parameters["fc_inf"] = 6210000 * ureg("")
-    parameters["a_fc"] = 1.2 * ureg("")
-    parameters["ft_inf"] = 467000 * ureg("")
-    parameters["a_ft"] = 1.0 * ureg("")
-    parameters["igc"] = 8.3145 * ureg("J/K/mol")
-    parameters["evolution_ft"] = "False" * ureg("")
-    parameters["dt"] = 60.0 * ureg("min")
-
-    experiment = LegacyMinimalCube(parameters)
-    experiment.apply_body_force()
-    problem = ConcreteThermoMechanical(
-        experiment=experiment, parameters=parameters, pv_name=f"thermo_mechanical_stuff_{dim}"
-    )
-    # problem = fenics_concrete.ConcreteThermoMechanical(experiment=experiment, parameters=parameters, vmapoutput=False)
-
-    doh_sensor = DOHSensor([0.25, 0.25, 0.25], name="doh")
-    E_sensor = YoungsModulusSensor([0.25, 0.25, 0.25], name="E")
-    T_sensor = TemperatureSensor([0.25, 0.25, 0.25], name="T")
-
-    problem.add_sensor(doh_sensor)
-    problem.add_sensor(E_sensor)
-    problem.add_sensor(T_sensor)
-    # initialize time
-    t = problem.p["dt"]  # first time step time
-    problem.time = t
-    t_list = []
-    u_list = []
-    temperature_list = []
-    doh = 0
-    print(problem.p)
-    while doh < parameters["alpha_tx"]:  # time
-        # solve temp-hydration-mechanics
-        t_list.append(problem.time)
-        problem.solve()  # solving this
-        doh = doh_sensor.data[-1]
-        # u_list.append(problem.fields.displacement.vector.array[:])
-        # temperature_list.append(problem.fields.temperature.vector.array[:])
-        problem.pv_plot()
-
-    data = np.load(Path(__file__).parent / "fenics_concrete_thermo_mechanical.npz")
-
-    # find dofs of point [0.25, 0.25, 0.25] in legacy data for comparison
-    T_dofs = np.argwhere(np.sum(np.abs(data["dof_map_t"] - np.array([0.25, 0.25, 0.25])), axis=1) < 1e-4)
-
-    if T_dofs.size > 0:
-        T_dof = T_dofs[0]
-        T_list = data["T"][:, T_dof]
-        np.testing.assert_allclose(np.array(T_sensor.data).flatten(), T_list.flatten(), rtol=1e-4)
-
-    np.testing.assert_allclose(data["t"], t_list)
-    np.testing.assert_allclose(data["doh"].flatten(), np.array(doh_sensor.data).flatten(), rtol=1e-4)
-    np.testing.assert_allclose(data["E"].flatten(), np.array(E_sensor.data).flatten(), rtol=1e-4)
diff --git a/tests/finite_element_problem/test_thixotropy_uniaxial.py b/tests/finite_element_problem/test_thixotropy_uniaxial.py
deleted file mode 100644
index 532c60e..0000000
--- a/tests/finite_element_problem/test_thixotropy_uniaxial.py
+++ /dev/null
@@ -1,202 +0,0 @@
-import os
-from pathlib import Path
-
-import pint
-import pytest
-
-from fenicsxconcrete.experimental_setup import SimpleCube
-from fenicsxconcrete.finite_element_problem import ConcreteAM, ConcreteThixElasticModel
-from fenicsxconcrete.sensor_definition.strain_sensor import StrainSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-from fenicsxconcrete.util import ureg
-
-
-def disp_over_time(current_time: pint.Quantity, switch_time: pint.Quantity) -> pint.Quantity:
-    """linear ramp of displacement bc over time
-
-    Args:
-        t: current time
-
-    Returns: displacement value for given time
-
-    """
-    if current_time <= switch_time:
-        current_disp = 0.1 * ureg("m") / (switch_time) * current_time
-    else:
-        current_disp = 0.1 * ureg("m")
-
-    return current_disp
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-@pytest.mark.parametrize("degree", [1, 2])
-def test_disp(dim: int, degree: int):
-    """uniaxial test displacement controlled
-
-    Args:
-        dim: dimension of the test (2 or 3)
-        degree: polynominal degree
-    """
-
-    # setup paths and directories
-    data_dir = "data_files"
-    data_path = Path(__file__).parent / data_dir
-
-    # define file name and path for paraview output
-    file_name = f"test_thixotropy_uniaxial_{dim}d"
-    files = [data_path / (file_name + ".xdmf"), data_path / (file_name + ".h5")]
-    # delete file if it exists (only relevant for local tests)
-    for file in files:
-        if file.is_file():
-            os.remove(file)
-
-    # defining experiment parameters
-    parameters = {}
-
-    parameters["dim"] = dim * ureg("")
-    parameters["num_elements_length"] = 2 * ureg("")
-    parameters["num_elements_height"] = 2 * ureg("")
-    parameters["num_elements_width"] = 2 * ureg("")
-
-    if dim == 2:
-        parameters["stress_state"] = "plane_stress" * ureg("")
-
-    # setting up the problem
-    experiment = SimpleCube(parameters)
-
-    # get description of parameters
-    des = ConcreteAM.parameter_description()
-    print(des)
-
-    # use default parameters (default) and change accordingly to cases
-    parameters["degree"] = degree * ureg("")
-    if dim == 3:
-        parameters["q_degree"] = 4 * ureg("")
-
-    # defining time parameters
-    parameters["dt"] = 1 * 60 * ureg("s")
-    total_time = 6 * 60 * ureg("s")
-
-    # displacement controlled uniaxial test with no body force
-    parameters["strain_state"] = "uniaxial" * ureg("")
-    displacement = disp_over_time
-    parameters["density"] = 0 * ureg("kg/m^3")  # no body force!!
-
-    problem = ConcreteAM(
-        experiment, parameters, nonlinear_problem=ConcreteThixElasticModel, pv_name=file_name, pv_path=data_path
-    )
-
-    # add sensors
-    if dim == 2:
-        problem.add_sensor(StressSensor([0.5, 0.5, 0.0]))
-        problem.add_sensor(StrainSensor([0.5, 0.5, 0.0]))
-    elif dim == 3:
-        problem.add_sensor(StressSensor([0.5, 0.5, 0.5]))
-        problem.add_sensor(StrainSensor([0.5, 0.5, 0.5]))
-
-    E_o_time = []
-    disp_o_time = [0.0]
-    while problem.time <= total_time.to_base_units().magnitude:
-        # apply increment displacements!!!
-        disp_o_time.append(
-            displacement((problem.time + problem.p["dt"]) * ureg("s"), 2 * parameters["dt"]).to_base_units()
-        )
-        delta_disp = disp_o_time[-1] - disp_o_time[-2]
-        problem.experiment.apply_displ_load(delta_disp)
-
-        problem.solve()
-        problem.pv_plot()
-        print("problem time", problem.time)
-        print("computed disp", problem.fields.displacement.x.array[:].max())
-
-        # store Young's modulus over time
-        E_o_time.append(problem.youngsmodulus.vector.array[:].max())
-
-    print("Stress sensor", problem.sensors["StressSensor"].data)
-    print("strain sensor", problem.sensors["StrainSensor"].data)
-    print("time", problem.sensors["StrainSensor"].time)
-    print("E modul", E_o_time)
-
-    check_disp_case(problem, parameters["dt"], E_o_time)
-
-
-def check_disp_case(problem: ConcreteAM, dt: pint.Quantity, E_o_time: list[float]) -> None:
-    """checks for displacement controlled version
-
-    Args:
-        problem: concreteam problem instance
-        dt: time step parameter
-        E_o_time: Youngs modulus values over time
-
-    """
-
-    disp_at_end = disp_over_time(problem.sensors["StrainSensor"].time[-1] * ureg("s"), 2 * dt).to_base_units()
-    analytic_eps = (disp_at_end / (1.0 * ureg("m"))).magnitude
-    disp_dt1 = disp_over_time(problem.sensors["StrainSensor"].time[0] * ureg("s"), 2 * dt).to_base_units()
-    analytic_eps_dt1 = (disp_dt1 / (1.0 * ureg("m"))).magnitude
-    print(analytic_eps, analytic_eps_dt1, disp_at_end, disp_dt1)
-
-    if problem.p["dim"] == 2:
-        # standard uniaxial checks for last time step
-        print("analytic_eps", analytic_eps, problem.p["nu"] * analytic_eps)
-        # strain in yy direction
-        assert problem.sensors["StrainSensor"].data[-1][-1] == pytest.approx(analytic_eps)
-        # strain in xx direction
-        assert problem.sensors["StrainSensor"].data[-1][0] == pytest.approx(-problem.p["nu"] * analytic_eps)
-        # strain in xy and yx direction
-        assert problem.sensors["StrainSensor"].data[-1][1] == pytest.approx(
-            problem.sensors["StrainSensor"].data[-1][2]
-        )
-        assert problem.sensors["StrainSensor"].data[-1][1] == pytest.approx(0.0)
-
-        # thix related tests
-        # thix tests stress in yy first time step
-        assert problem.sensors["StressSensor"].data[0][-1] == pytest.approx((analytic_eps_dt1 * E_o_time[0]))
-        # stress delta between last time steps
-        assert problem.sensors["StressSensor"].data[-1][-1] - problem.sensors["StressSensor"].data[-2][
-            -1
-        ] == pytest.approx(0.0)
-    elif problem.p["dim"] == 3:
-        # standard uniaxial checks for last time step
-        # strain in zz direction
-        assert problem.sensors["StrainSensor"].data[-1][-1] == pytest.approx(analytic_eps)
-        # strain in yy direction
-        assert problem.sensors["StrainSensor"].data[-1][4] == pytest.approx(-problem.p["nu"] * analytic_eps)
-        # strain in xx direction
-        assert problem.sensors["StrainSensor"].data[-1][0] == pytest.approx(-problem.p["nu"] * analytic_eps)
-        # shear strains
-        sum_mixed_strains = (
-            problem.sensors["StrainSensor"].data[-1][1]  # xy
-            - problem.sensors["StrainSensor"].data[-1][3]  # yx
-            - problem.sensors["StrainSensor"].data[-1][2]  # xz
-            - problem.sensors["StrainSensor"].data[-1][6]  # zx
-            - problem.sensors["StrainSensor"].data[-1][5]  # yz
-            - problem.sensors["StrainSensor"].data[-1][7]  # zy
-        )
-        assert sum_mixed_strains == pytest.approx(0.0)
-
-        # thix related tests
-        # thix tests stress in zz direction first time step
-        assert problem.sensors["StressSensor"].data[0][-1] == pytest.approx(analytic_eps_dt1 * E_o_time[0])
-        # stress delta between last time steps
-        assert problem.sensors["StressSensor"].data[-1][-1] - problem.sensors["StressSensor"].data[-2][
-            -1
-        ] == pytest.approx(0.0)
-
-    # check changing youngs modulus
-    if problem.time < problem.p["tf_E"]:
-        E_end = problem.p["E_0"] + problem.p["R_E"] * (problem.time + problem.p["age_0"])
-    else:
-        E_end = (
-            problem.p["E_0"]
-            + problem.p["R_E"] * problem.p["tf_E"]
-            + problem.p["A_E"] * (problem.time + problem.p["age_0"] - problem.p["tf_E"])
-        )
-    assert E_o_time[-1] == pytest.approx(E_end)
-
-
-# if __name__ == "__main__":
-#
-#     test_disp(2, 2)
-
-# test_disp(3, 1)
diff --git a/tests/sensor_definition/test_point_sensors.py b/tests/sensor_definition/test_point_sensors.py
deleted file mode 100644
index 57f36f3..0000000
--- a/tests/sensor_definition/test_point_sensors.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import numpy as np
-import pytest
-
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.displacement_sensor import DisplacementSensor
-from fenicsxconcrete.sensor_definition.strain_sensor import StrainSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-
-
-@pytest.mark.parametrize("point_sensor", [DisplacementSensor, StressSensor, StrainSensor])
-def test_point_sensor(point_sensor) -> None:
-    default_setup, default_parameters = LinearElasticity.default_parameters()
-
-    fem_problem = LinearElasticity(default_setup, default_parameters)
-
-    # define sensors
-    sensor_location = [0.0, 0.0, 0.0]
-    sensor = point_sensor(sensor_location)
-
-    fem_problem.add_sensor(sensor)
-
-    # check that there is no stored data and test Error
-    with pytest.raises(RuntimeError):
-        fem_problem.sensors[sensor.name].get_last_entry()
-
-    fem_problem.solve()
-
-    # check that something is stored
-    data = fem_problem.sensors[sensor.name].get_last_entry()
-    assert data is not None
-
-    # check that location metadata is reported correctly
-    # other metadata tested in test_sensors.py
-    metadata = sensor.report_metadata()
-    assert metadata["where"] == sensor_location
-    # check if location is not a list
-    sensor_location = np.array([0.0, 0.0, 0.0])
-    sensor = point_sensor(sensor_location)
-    metadata = sensor.report_metadata()
-    assert metadata["where"] == pytest.approx(sensor_location)
diff --git a/tests/sensor_definition/test_reaction_force_sensor.py b/tests/sensor_definition/test_reaction_force_sensor.py
deleted file mode 100644
index 3351f6e..0000000
--- a/tests/sensor_definition/test_reaction_force_sensor.py
+++ /dev/null
@@ -1,149 +0,0 @@
-import pytest
-
-from fenicsxconcrete.experimental_setup.compression_cylinder import CompressionCylinder
-from fenicsxconcrete.experimental_setup.simple_cube import SimpleCube
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition.reaction_force_sensor import ReactionForceSensor
-from fenicsxconcrete.sensor_definition.stress_sensor import StressSensor
-from fenicsxconcrete.util import ureg
-
-
-def test_reaction_force_sensor() -> None:
-    default_setup, default_parameters = LinearElasticity.default_parameters()
-    setup = CompressionCylinder(CompressionCylinder.default_parameters())
-
-    fem_problem = LinearElasticity(setup, default_parameters)
-
-    # define sensors
-    sensor1 = ReactionForceSensor()
-    fem_problem.add_sensor(sensor1)
-    sensor2 = ReactionForceSensor(surface={"function": "boundary_bottom", "args": {}})
-    fem_problem.add_sensor(sensor2)
-    sensor3 = ReactionForceSensor(surface={"function": "boundary_top", "args": {}}, name="top_sensor")
-    fem_problem.add_sensor(sensor3)
-
-    fem_problem.experiment.apply_displ_load(-0.001 * ureg("m"))
-    fem_problem.solve()
-
-    # testing default value
-    assert (
-        fem_problem.sensors.ReactionForceSensor.get_last_entry()
-        == fem_problem.sensors.ReactionForceSensor2.get_last_entry()
-    ).all()
-
-    # testing top boundary value
-    assert fem_problem.sensors.ReactionForceSensor.get_last_entry().magnitude[-1] == pytest.approx(
-        -1 * fem_problem.sensors.top_sensor.get_last_entry().magnitude[-1]
-    )
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-@pytest.mark.parametrize("degree", [1, 2])
-def test_full_boundary_reaction(dim: int, degree: int) -> None:
-    setup_parameters = SimpleCube.default_parameters()
-    setup_parameters["dim"] = dim * ureg("")
-    setup_parameters["degree"] = degree * ureg("")
-    setup_parameters["strain_state"] = "multiaxial" * ureg("")
-    cube = SimpleCube(setup_parameters)
-    default_setup, fem_parameters = LinearElasticity.default_parameters()
-    fem_parameters["nu"] = 0.2 * ureg("")
-    fem_problem = LinearElasticity(cube, fem_parameters)
-
-    # define reactionforce sensors
-    sensor = ReactionForceSensor(surface={"function": "boundary_left", "args": {}}, name="ReactionForceSensorLeft")
-    fem_problem.add_sensor(sensor)
-    sensor = ReactionForceSensor(surface={"function": "boundary_right", "args": {}}, name="ReactionForceSensorRight")
-    fem_problem.add_sensor(sensor)
-    sensor = ReactionForceSensor(surface={"function": "boundary_top", "args": {}}, name="ReactionForceSensorTop")
-    fem_problem.add_sensor(sensor)
-    sensor = ReactionForceSensor(surface={"function": "boundary_bottom", "args": {}}, name="ReactionForceSensorBottom")
-    fem_problem.add_sensor(sensor)
-    if dim == 3:
-        sensor = ReactionForceSensor(
-            surface={"function": "boundary_front", "args": {}}, name="ReactionForceSensorFront"
-        )
-        fem_problem.add_sensor(sensor)
-        sensor = ReactionForceSensor(surface={"function": "boundary_back", "args": {}}, name="ReactionForceSensorBack")
-        fem_problem.add_sensor(sensor)
-
-    fem_problem.experiment.apply_displ_load(0.002 * ureg("m"))
-    fem_problem.solve()
-
-    force_left = fem_problem.sensors.ReactionForceSensorLeft.get_last_entry().magnitude[0]
-    force_right = fem_problem.sensors.ReactionForceSensorRight.get_last_entry().magnitude[0]
-    force_top = fem_problem.sensors.ReactionForceSensorTop.get_last_entry().magnitude[-1]
-    force_bottom = fem_problem.sensors.ReactionForceSensorBottom.get_last_entry().magnitude[-1]
-
-    # checking opposing forces left-right and top-bottom
-    assert force_left == pytest.approx(-1 * force_right)
-    assert force_top == pytest.approx(-1 * force_bottom)
-    # checking equal forces on sides
-    assert force_left == pytest.approx(force_bottom)
-    # checking report metadata
-    # TODO Figure out how to identify which boundary is applied
-    assert fem_problem.sensors.ReactionForceSensorLeft.report_metadata()["surface"] == {
-        "function": "boundary_left",
-        "args": {},
-    }
-    assert fem_problem.sensors.ReactionForceSensorRight.report_metadata()["surface"] == {
-        "function": "boundary_right",
-        "args": {},
-    }
-    assert fem_problem.sensors.ReactionForceSensorTop.report_metadata()["surface"] == {
-        "function": "boundary_top",
-        "args": {},
-    }
-    assert fem_problem.sensors.ReactionForceSensorBottom.report_metadata()["surface"] == {
-        "function": "boundary_bottom",
-        "args": {},
-    }
-
-    if dim == 3:
-        force_front = fem_problem.sensors.ReactionForceSensorFront.get_last_entry().magnitude[1]
-        force_back = fem_problem.sensors.ReactionForceSensorBack.get_last_entry().magnitude[1]
-
-        # checking opposing forces front-back
-        assert force_front == pytest.approx(-1 * force_back)
-        # checking equal forces left-front
-        assert force_left == pytest.approx(force_front)
-        # checking report metadata
-        assert fem_problem.sensors.ReactionForceSensorFront.report_metadata()["surface"] == {
-            "function": "boundary_front",
-            "args": {},
-        }
-        assert fem_problem.sensors.ReactionForceSensorBack.report_metadata()["surface"] == {
-            "function": "boundary_back",
-            "args": {},
-        }
-
-
-@pytest.mark.parametrize("dim", [2, 3])
-@pytest.mark.parametrize("degree", [1, 2])
-def test_full_boundary_stress(dim: int, degree: int) -> None:
-    setup_parameters = SimpleCube.default_parameters()
-    setup_parameters["dim"] = dim * ureg("")
-    setup_parameters["degree"] = degree * ureg("")
-    setup_parameters["strain_state"] = "multiaxial" * ureg("")
-    cube = SimpleCube(setup_parameters)
-    default_setup, fem_parameters = LinearElasticity.default_parameters()
-    fem_parameters["nu"] = 0.2 * ureg("")
-    fem_problem = LinearElasticity(cube, fem_parameters)
-
-    # define stress sensor
-    if dim == 2:
-        sensor_location = [0.5, 0.5, 0.0]
-    elif dim == 3:
-        sensor_location = [0.5, 0.5, 0.5]
-    stress_sensor = StressSensor(sensor_location)
-    fem_problem.add_sensor(stress_sensor)
-
-    fem_problem.experiment.apply_displ_load(0.002 * ureg("m"))
-    fem_problem.solve()
-
-    # check homogeneous stress state
-    stress = fem_problem.sensors.StressSensor.get_last_entry().magnitude
-    if dim == 2:
-        assert stress[0] == pytest.approx(stress[3])
-    if dim == 3:
-        assert stress[0] == pytest.approx(stress[4])
-        assert stress[0] == pytest.approx(stress[8])
diff --git a/tests/sensor_definition/test_sensor_schema.py b/tests/sensor_definition/test_sensor_schema.py
deleted file mode 100755
index 89b9bb2..0000000
--- a/tests/sensor_definition/test_sensor_schema.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import importlib
-import inspect
-import os
-from abc import ABC
-
-from fenicsxconcrete.sensor_definition.base_sensor import BaseSensor
-from fenicsxconcrete.sensor_definition.sensor_schema import generate_sensor_schema
-
-
-def import_classes_from_module(module_name):
-    module = importlib.import_module(module_name)
-    class_names = set()
-
-    module_path = os.path.dirname(module.__file__)
-    for file_name in os.listdir(module_path):
-        if file_name.endswith(".py") and file_name != "__init__.py":
-            file_path = os.path.join(module_path, file_name)
-            module_name = f"{module_name}.{os.path.splitext(file_name)[0]}"
-            spec = importlib.util.spec_from_file_location(module_name, file_path)
-            module = importlib.util.module_from_spec(spec)
-            spec.loader.exec_module(module)
-
-            for name, obj in inspect.getmembers(module):
-                if inspect.isclass(obj) and obj is not ABC and issubclass(obj, BaseSensor):
-                    class_names.add(obj.__name__)
-
-    return class_names
-
-
-def test_classes_in_dictionary():
-    module_name = "fenicsxconcrete.sensor_definition"
-
-    # Import all classes from the module
-    classes = import_classes_from_module(module_name)
-    dict_sensors_schema = generate_sensor_schema()
-
-    # Check if the classes are present in the dictionary keys
-    for cls in classes:
-        assert cls in dict_sensors_schema["definitions"]
diff --git a/tests/sensor_definition/test_sensors.py b/tests/sensor_definition/test_sensors.py
deleted file mode 100644
index d827c06..0000000
--- a/tests/sensor_definition/test_sensors.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import pytest
-
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-from fenicsxconcrete.sensor_definition import (
-    DisplacementSensor,
-    DOHSensor,
-    ReactionForceSensor,
-    StrainSensor,
-    StressSensor,
-    TemperatureSensor,
-    YoungsModulusSensor,
-)
-from fenicsxconcrete.util import ureg
-
-
-def test_base_sensor() -> None:
-    """Testing basic functionality using the displacement sensor as example"""
-    default_setup, default_parameters = LinearElasticity.default_parameters()
-    fem_problem = LinearElasticity(default_setup, default_parameters)
-
-    # define sensors
-    sensor_location = [0.0, 0.0, 0.0]
-    sensor = DisplacementSensor(sensor_location)
-    fem_problem.add_sensor(sensor)
-
-    fem_problem.solve()  # time = dt: dt_default == 1
-    fem_problem.solve()  # time = 2*dt:
-    u_sensor = fem_problem.sensors.DisplacementSensor
-
-    # testing get data list
-    assert u_sensor.get_data_list().units == pytest.approx(u_sensor.units)
-    # testing get time list
-    assert u_sensor.get_time_list().magnitude == pytest.approx([fem_problem.p["dt"], 2 * fem_problem.p["dt"]])
-    # testing get last data point
-    assert u_sensor.get_data_list()[-1].magnitude == pytest.approx(u_sensor.get_last_entry().magnitude)
-    # testing get data at time x
-    assert u_sensor.get_data_list()[1].magnitude == pytest.approx(
-        u_sensor.get_data_at_time(t=2 * fem_problem.p["dt"]).magnitude
-    )
-    # testing value error for wrong time
-    with pytest.raises(ValueError):
-        u_sensor.get_data_at_time(t=42)
-    # testing set unit
-    m_data = u_sensor.get_last_entry()
-    u_sensor.set_units("mm")
-    mm_data = u_sensor.get_last_entry()
-    # check units
-    assert u_sensor.get_last_entry().units == ureg.millimeter
-    # check magnitude
-    assert m_data.magnitude == pytest.approx(mm_data.magnitude / 1000)
-    # testing metadata report
-    metadata = u_sensor.report_metadata()
-    true_metadata = {
-        "id": "DisplacementSensor",
-        "type": "DisplacementSensor",
-        "units": "millimeter",
-        "dimensionality": "[length]",
-    }
-    for key in true_metadata:
-        assert key in metadata and true_metadata[key] == metadata[key]
-
-
-@pytest.mark.parametrize(
-    "sensor",
-    [
-        DisplacementSensor,
-        ReactionForceSensor,
-        StressSensor,
-        StrainSensor,
-        DOHSensor,
-        YoungsModulusSensor,
-        TemperatureSensor,
-    ],
-)
-def test_base_units(sensor) -> None:
-    """test that the units defined in base_unit for the sensor are actually base units for this system"""
-    dummy_value = 1 * sensor.base_unit()
-    assert dummy_value.magnitude == dummy_value.to_base_units().magnitude
diff --git a/tests/util/test_basic_logging.py b/tests/util/test_basic_logging.py
deleted file mode 100644
index 72bd87b..0000000
--- a/tests/util/test_basic_logging.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""Test `set_log_levels` and document how logging might be controlled for
-application codes"""
-
-import logging
-
-import dolfinx
-import ffcx
-import pytest
-import ufl
-
-from fenicsxconcrete import set_log_levels
-from fenicsxconcrete.experimental_setup.tensile_beam import TensileBeam
-from fenicsxconcrete.finite_element_problem.linear_elasticity import LinearElasticity
-
-
-def test_fenicsx_loggers():
-    """application specific settings for FEniCSx"""
-
-    # ### ufl and ffcx
-    ufl_logger = ufl.log.get_logger()
-    # it seems per default the levels are
-    # ufl: DEBUG (10)
-    # ffcx: WARNIG (30)
-    # but these are set to logging.WARNING per default by fenicsxconcrete
-    assert ufl_logger.getEffectiveLevel() == logging.WARNING
-    assert ffcx.logger.getEffectiveLevel() == logging.WARNING
-
-    # ### dolfinx
-    initial_level = dolfinx.log.get_log_level()
-    assert initial_level.value == -1  # WARNING
-
-    # dolfinx.log.set_log_level() only accepts dolfinx.log.LogLevel
-    with pytest.raises(TypeError):
-        dolfinx.log.set_log_level(-1)
-    with pytest.raises(TypeError):
-        dolfinx.log.set_log_level(logging.INFO)
-    with pytest.raises(TypeError):
-        dolfinx.log.set_log_level("INFO")
-
-    dolfinx.log.set_log_level(dolfinx.log.LogLevel.ERROR)
-    current_level = dolfinx.log.get_log_level()
-    assert current_level.value == -2
-
-    # note that dolfinx.log.LogLevel has levels INFO, WARNING, ERROR and OFF
-    # and that the integer values do not follow the convention of the stdlib
-    # logging
-    dfx_levels = [
-        (dolfinx.log.LogLevel.INFO, 0),
-        (dolfinx.log.LogLevel.WARNING, -1),
-        (dolfinx.log.LogLevel.ERROR, -2),
-        (dolfinx.log.LogLevel.OFF, -9),
-    ]
-    for lvl, value in dfx_levels:
-        dolfinx.log.set_log_level(lvl)
-        assert dolfinx.log.get_log_level().value == value
-
-
-def test_set_log_levels():
-    default_p = TensileBeam.default_parameters()
-    experiment = TensileBeam(default_p)
-    param = LinearElasticity.default_parameters()[1]
-    problem = LinearElasticity(experiment, param)
-
-    # default level is logging.WARNING
-    for obj in [experiment, problem]:
-        assert obj.logger.getEffectiveLevel() == logging.WARNING
-
-    # set level for each logger of package "fenicsxconcrete"
-    set_log_levels({"fenicsxconcrete": logging.INFO})
-    for obj in [experiment, problem]:
-        assert obj.logger.getEffectiveLevel() == logging.INFO
-
-    # or set log level individually
-    set_log_levels({"fenicsxconcrete": logging.DEBUG, problem.logger.name: logging.ERROR})
-    assert experiment.logger.getEffectiveLevel() == logging.DEBUG
-    assert problem.logger.getEffectiveLevel() == logging.ERROR
-
-
-if __name__ == "__main__":
-    test_fenicsx_loggers()
-    test_set_log_levels()
diff --git a/tests/util/test_helpers.py b/tests/util/test_helpers.py
deleted file mode 100644
index 1fb10c1..0000000
--- a/tests/util/test_helpers.py
+++ /dev/null
@@ -1,107 +0,0 @@
-import dolfinx as df
-import numpy as np
-import pytest
-import ufl
-from mpi4py import MPI
-from pint import UnitRegistry
-
-from fenicsxconcrete.util import Parameters, QuadratureEvaluator, QuadratureRule, project
-
-ureg = UnitRegistry()
-
-
-def test_parameters() -> None:
-    parameters = Parameters()
-    parameters["length"] = 42.0 * ureg.cm
-
-    # Check if units are converted correctly
-    assert parameters["length"].units == ureg.meter
-
-    parameters_2 = Parameters()
-    parameters_2["temperature"] = 2.0 * ureg.kelvin
-
-    parameters_combined = parameters + parameters_2
-    keys = parameters_combined.keys()
-    assert "length" in keys and "temperature" in keys
-    assert (
-        parameters_combined["length"] == parameters["length"]
-        and parameters_combined["temperature"] == parameters_2["temperature"]
-    )
-
-
-def test_parameter_dic_functions() -> None:
-    parameters = Parameters()
-    # testing if adding None to dictionary works
-    new = parameters + None
-    assert new is parameters
-
-
-def test_parameter_dic_update() -> None:
-    parameters = Parameters()
-
-    # testing that update still requires a pint object
-    p_wo_pint = {"length": 0.006}
-    with pytest.raises(AssertionError):
-        parameters.update(p_wo_pint)
-
-    # testing that conversion to base units works with update
-    length = 6000
-    p_with_pint = {"length": length * ureg("mm")}
-    parameters.update(p_with_pint)
-
-    assert parameters["length"].magnitude == length / 1000
-
-
-# @pytest.mark.parametrize("dim", [2, 3])
-def test_project() -> None:
-    mesh = df.mesh.create_unit_cube(MPI.COMM_SELF, 2, 2, 2)
-    P1 = df.fem.FunctionSpace(mesh, ("P", 1))
-    u = df.fem.Function(P1)
-    v = df.fem.Function(P1)
-    u.interpolate(lambda x: x[0] + x[1] + x[2])
-    project(u, P1, ufl.dx, v)
-    assert np.linalg.norm(u.vector.array - v.vector.array) / np.linalg.norm(u.vector.array) < 1e-4
-
-
-def test_quadrature_rule() -> None:
-    """check if all spaces and arrays are compatible with each other"""
-    rule = QuadratureRule()
-    mesh = df.mesh.create_unit_square(MPI.COMM_SELF, 2, 2)
-
-    lagrange_space = df.fem.VectorFunctionSpace(mesh, ("Lagrange", 2))
-    v = df.fem.Function(lagrange_space)
-
-    v.interpolate(lambda x: (42.0 * x[0], 16.0 * x[1]))
-
-    strain_form = ufl.sym(ufl.grad(v))
-    strain_evaluator = QuadratureEvaluator(strain_form, mesh, rule)
-
-    q_space = rule.create_quadrature_space(mesh)
-    q_function = df.fem.Function(q_space)
-    q_array = rule.create_quadrature_array(mesh, 1)
-
-    assert q_function.vector.array.shape == q_array.shape
-
-    q_vector_space = rule.create_quadrature_vector_space(mesh, 6)
-    q_vector_function = df.fem.Function(q_vector_space)
-    q_vector_array = rule.create_quadrature_array(mesh, 6)
-
-    assert q_vector_function.vector.array.shape == q_vector_array.shape
-
-    q_tensor_space = rule.create_quadrature_tensor_space(mesh, (2, 2))
-    q_tensor_function = df.fem.Function(q_tensor_space)
-    q_tensor_array = rule.create_quadrature_array(mesh, (2, 2))
-
-    assert q_tensor_function.vector.array.shape == q_tensor_array.shape
-
-    assert 6 * q_function.vector.array.size == q_vector_function.vector.array.size
-    assert 4 * q_function.vector.array.size == q_tensor_function.vector.array.size
-
-    # check if project and QuadratureEvaluator give the same result
-    project(strain_form, q_tensor_space, rule.dx, q_tensor_function)
-
-    assert (
-        np.linalg.norm(q_tensor_function.vector.array - strain_evaluator.evaluate().flatten())
-        / np.linalg.norm(q_tensor_function.vector.array)
-        < 1e-12
-    )
diff --git a/tests/util/test_homogenization.py b/tests/util/test_homogenization.py
deleted file mode 100644
index 2f1ad33..0000000
--- a/tests/util/test_homogenization.py
+++ /dev/null
@@ -1,167 +0,0 @@
-import pytest
-
-from fenicsxconcrete.util import ConcreteHomogenization
-
-
-def test_thermal_homogenization():
-    # input values
-    # matrix
-    matrix_E = 10  # MPa
-    matrix_poissions_ratio = 0.2
-    matrix_compressive_strength = 10
-    matrix_thermal_conductivity = 15
-
-    # aggregates
-    aggregate_E = 30
-    aggregate_poissions_ratio = 0.25
-    aggregate_radius = 2  # mm
-    aggregate_vol_frac = 0.3  # volume fraction
-    aggregate_thermal_conductivity = 100
-
-    # itz assumptions
-    itz_thickness = 0.2  # mm
-    itz_factor = 0.8  # percentage of stiffness of matrix
-
-    homgenized_concrete_1 = ConcreteHomogenization(
-        E_matrix=matrix_E,
-        nu_matrix=matrix_poissions_ratio,
-        fc_matrix=matrix_compressive_strength,
-        kappa_matrix=matrix_thermal_conductivity,
-    )
-
-    homgenized_concrete_2 = ConcreteHomogenization(
-        E_matrix=matrix_E,
-        nu_matrix=matrix_poissions_ratio,
-        fc_matrix=matrix_compressive_strength,
-        kappa_matrix=matrix_thermal_conductivity,
-    )
-    # adding uncoated
-    homgenized_concrete_1.add_uncoated_particle(
-        E=aggregate_E,
-        nu=aggregate_poissions_ratio,
-        volume_fraction=aggregate_vol_frac,
-        kappa=aggregate_thermal_conductivity,
-    )
-    # adding coated
-    homgenized_concrete_2.add_coated_particle(
-        E_inclusion=aggregate_E,
-        nu_inclusion=aggregate_poissions_ratio,
-        itz_ratio=itz_factor,
-        radius=aggregate_radius,
-        coat_thickness=itz_thickness,
-        volume_fraction=aggregate_vol_frac,
-        kappa=aggregate_thermal_conductivity,
-    )
-
-    assert homgenized_concrete_1.kappa_eff == pytest.approx(homgenized_concrete_2.kappa_eff)
-    assert homgenized_concrete_1.kappa_eff == pytest.approx(25.980861244019145)
-
-
-def test_stiffness_homogenization():
-    # input values
-    # matrix
-    matrix_E = 10  # MPa
-    matrix_poissions_ratio = 0.2
-    matrix_compressive_strength = 10
-
-    # air
-    air_E = 10  # MPa
-    air_vol_frac = 0.2
-
-    # aggregates
-    aggregate_E = 30
-    aggregate_poissions_ratio = 0.25
-    aggregate_radius = 2  # mm
-    aggregate_vol_frac = 0.3  # volume fraction
-
-    # itz assumptions
-    itz_thickness = 0.2  # mm
-    itz_factor = 0.8  # percentage of stiffness of matrix
-
-    # testing new code
-    homgenized_concrete = ConcreteHomogenization(
-        E_matrix=matrix_E, nu_matrix=matrix_poissions_ratio, fc_matrix=matrix_compressive_strength
-    )
-    # adding airpores
-    homgenized_concrete.add_uncoated_particle(E=air_E, nu=matrix_poissions_ratio, volume_fraction=air_vol_frac)
-    # adding agregates
-    homgenized_concrete.add_coated_particle(
-        E_inclusion=aggregate_E,
-        nu_inclusion=aggregate_poissions_ratio,
-        itz_ratio=itz_factor,
-        radius=aggregate_radius,
-        coat_thickness=itz_thickness,
-        volume_fraction=aggregate_vol_frac,
-    )
-
-    assert homgenized_concrete.E_eff == pytest.approx(13.156471830404511)
-    assert homgenized_concrete.nu_eff == pytest.approx(0.21110139111362222)
-    assert homgenized_concrete.fc_eff == pytest.approx(11.317889983420725)
-
-
-def test_volume_averages():
-    # input values
-    # matrix
-    E = 42  # MPa
-    poissions_ratio = 0.3
-    compressive_strength = 10
-    matrix_C = 10
-    matrix_rho = 30
-
-    aggregate_vol_frac = 0.5  # volume fraction
-    aggregate_radius = 10
-    aggregate_C = 30
-    aggregate_rho = 10
-
-    # itz assumptions
-    itz_thickness = 0.2  # mm
-    itz_factor = 0.8  # percentage of stiffness of matrix
-
-    homgenized_concrete_1 = ConcreteHomogenization(
-        E_matrix=E, nu_matrix=poissions_ratio, fc_matrix=compressive_strength, rho_matrix=matrix_rho, C_matrix=matrix_C
-    )
-
-    homgenized_concrete_2 = ConcreteHomogenization(
-        E_matrix=E, nu_matrix=poissions_ratio, fc_matrix=compressive_strength, rho_matrix=matrix_rho, C_matrix=matrix_C
-    )
-    # adding uncoated
-    homgenized_concrete_1.add_uncoated_particle(
-        E=E, nu=poissions_ratio, volume_fraction=aggregate_vol_frac, rho=aggregate_rho, C=aggregate_C
-    )
-    # adding coated
-    homgenized_concrete_2.add_coated_particle(
-        E_inclusion=E,
-        nu_inclusion=poissions_ratio,
-        itz_ratio=itz_factor,
-        radius=aggregate_radius,
-        coat_thickness=itz_thickness,
-        volume_fraction=aggregate_vol_frac,
-        rho=aggregate_rho,
-        C=aggregate_C,
-    )
-
-    assert homgenized_concrete_1.C_vol_eff == pytest.approx(homgenized_concrete_2.C_vol_eff)
-    assert homgenized_concrete_1.rho_eff == pytest.approx(homgenized_concrete_2.rho_eff)
-    assert homgenized_concrete_1.rho_eff == pytest.approx(20)
-    assert homgenized_concrete_1.C_vol_eff == pytest.approx(300)
-
-
-def test_heat_release():
-    # input values
-    E = 10  # MPa
-    poissions_ratio = 0.2
-    compressive_strength = 10
-    aggregate_vol_frac = 0.5  # volume fraction
-    rho = 42
-    Q = 7
-
-    homgenized_concrete = ConcreteHomogenization(
-        E_matrix=E, nu_matrix=poissions_ratio, fc_matrix=compressive_strength, rho_matrix=rho, Q_matrix=Q
-    )
-    # testing computation of heat release wrt volume
-    assert homgenized_concrete.Q_vol_eff == pytest.approx(Q * rho)
-
-    # adding aggregates
-    homgenized_concrete.add_uncoated_particle(E=E, nu=poissions_ratio, volume_fraction=aggregate_vol_frac, rho=rho)
-
-    assert homgenized_concrete.Q_vol_eff == pytest.approx(Q * rho * aggregate_vol_frac)