.. This file is autogenerated by dev/scripts/generate_page.py C-GAP-20U ========= .. grid:: 1 1 2 2 .. grid-item:: .. raw:: html :file: ../_static/visualisations/C-GAP-20U.html .. grid-item:: :class: info-card The complete dataset used for training the `C-GAP-20U `_ interatomic potential for carbon. Suitably converged labels were obtained with revised DFT settings, see `CAM.840-6 `_. .. code-block:: pycon >>> from load_atoms import load_dataset >>> load_dataset("C-GAP-20U") C-GAP-20U: structures: 6,088 atoms: 400,275 species: C: 100.00% properties: per atom: (forces) per structure: (config_type, energy, free_energy, stress, virial) License ------- This dataset is licensed under the `GPLv3 `_ license. Citation -------- If you use this dataset in your work, please cite the following: .. code-block:: latex @article{Rowe-20-07, title = {An Accurate and Transferable Machine Learning Potential for Carbon}, author = {Rowe, Patrick and Deringer, Volker L. and Gasparotto, Piero and Cs{\'a}nyi, G{\'a}bor and Michaelides, Angelos}, year = {2020}, journal = {The Journal of Chemical Physics}, volume = {153}, number = {3}, pages = {034702}, doi = {10.1063/5.0005084}, } Properties ---------- **Per-atom**: .. list-table:: :header-rows: 1 * - Property - Units - Type - Description * - :code:`forces` - eV/Å - :class:`ndarray(N, 3) ` - force vectors (DFT) **Per-structure**: .. list-table:: :header-rows: 1 * - Property - Units - Type - Description * - :code:`energy` - eV - :class:`~float64` - total structure energy (DFT) * - :code:`free_energy` - eV - :class:`~float64` - total structure free energy (DFT) * - :code:`virial` - eV - :class:`ndarray(3, 3) ` - virial stress tensor (DFT) * - :code:`stress` - eV Å\ :math:`{}^{-3}` - :class:`ndarray(3, 3) ` - | stress tensor (DFT) | (:code:`- virial / cell.volume`) * - :code:`config_type` - - :class:`~str` - category of structure Miscellaneous information ------------------------- ``C-GAP-20U`` is imported as an :class:`~load_atoms.atoms_dataset.InMemoryAtomsDataset`: .. dropdown:: Importer script for :code:`C-GAP-20U` .. literalinclude:: ../../../src/load_atoms/database/importers/c_gap_20u.py :language: python .. dropdown:: :class:`~load_atoms.database.DatabaseEntry` for :code:`C-GAP-20U` .. code-block:: yaml name: C-GAP-20U year: 2020 description: | The complete dataset used for training the `C-GAP-20U `_ interatomic potential for carbon. Suitably converged labels were obtained with revised DFT settings, see `CAM.840-6 `_. category: Potential Fitting minimum_load_atoms_version: 0.2 citation: | @article{Rowe-20-07, title = {An Accurate and Transferable Machine Learning Potential for Carbon}, author = {Rowe, Patrick and Deringer, Volker L. and Gasparotto, Piero and Cs{\'a}nyi, G{\'a}bor and Michaelides, Angelos}, year = {2020}, journal = {The Journal of Chemical Physics}, volume = {153}, number = {3}, pages = {034702}, doi = {10.1063/5.0005084}, } license: GPLv3 per_atom_properties: forces: desc: force vectors (DFT) units: eV/Å per_structure_properties: energy: desc: total structure energy (DFT) units: eV free_energy: desc: total structure free energy (DFT) units: eV virial: desc: virial stress tensor (DFT) units: eV stress: desc: | | stress tensor (DFT) | (:code:`- virial / cell.volume`) units: eV Å\ :math:`{}^{-3}` config_type: desc: category of structure # TODO: remove after Dec 2024 # backwards compatability: unused as of 0.3.0 files: - name: C-GAP-20U.xyz hash: da0462802df1