.. This file is autogenerated by dev/scripts/generate_page.py C-GAP-17 ======== .. grid:: 1 1 2 2 .. grid-item:: .. raw:: html :file: ../_static/visualisations/C-GAP-17.html .. grid-item:: :class: info-card The complete dataset and labels used to train and test the `C-GAP-17 `_ interatomic potential for amorphous carbon. This dataset was built in an iterative manner, and contains 4,530 structures, covering a wide range of densities, temperatures and degrees of dis/order. More detail can be found in the paper's `supplementary information `__. .. code-block:: pycon >>> from load_atoms import load_dataset >>> load_dataset("C-GAP-17") C-GAP-17: structures: 4,530 atoms: 284,965 species: C: 100.00% properties: per atom: (forces) per structure: (config_type, detailed_ct, energy, split) License ------- This dataset is licensed under the `CC BY-NC-SA 4.0 `_ license. Citation -------- If you use this dataset in your work, please cite the following: .. code-block:: latex @article{Deringer-17, title = { Machine learning based interatomic potential for amorphous carbon }, volume = {95}, number = {9}, journal = {Physical Review B}, author = {Deringer, Volker L. and Cs{\'a}nyi, G{\'a}bor}, year = {2017}, pages = {094203}, doi = {10.1103/PhysRevB.95.094203}, } 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:`config_type` - - :class:`~str` - | category of structure | (:code:`dimer` | :code:`bulk_amo` | :code:`bulk_cryst` | :code:`surf_amo`) * - :code:`split` - - :class:`~str` - | the original test/train split | (:code:`train` | :code:`test`) Miscellaneous information ------------------------- ``C-GAP-17`` is imported as an :class:`~load_atoms.atoms_dataset.InMemoryAtomsDataset`: .. dropdown:: Importer script for :code:`C-GAP-17` .. literalinclude:: ../../../src/load_atoms/database/importers/c_gap_17.py :language: python .. dropdown:: :class:`~load_atoms.database.DatabaseEntry` for :code:`C-GAP-17` .. code-block:: yaml name: C-GAP-17 year: 2017 description: | The complete dataset and labels used to train and test the `C-GAP-17 `_ interatomic potential for amorphous carbon. This dataset was built in an iterative manner, and contains 4,530 structures, covering a wide range of densities, temperatures and degrees of dis/order. More detail can be found in the paper's `supplementary information `__. minimum_load_atoms_version: 0.2 category: Potential Fitting citation: | @article{Deringer-17, title = { Machine learning based interatomic potential for amorphous carbon }, volume = {95}, number = {9}, journal = {Physical Review B}, author = {Deringer, Volker L. and Cs{\'a}nyi, G{\'a}bor}, year = {2017}, pages = {094203}, doi = {10.1103/PhysRevB.95.094203}, } license: CC BY-NC-SA 4.0 per_atom_properties: forces: desc: force vectors (DFT) units: eV/Å per_structure_properties: energy: desc: total structure energy (DFT) units: eV config_type: desc: | | category of structure | (:code:`dimer` | :code:`bulk_amo` | :code:`bulk_cryst` | :code:`surf_amo`) split: desc: | | the original test/train split | (:code:`train` | :code:`test`) representative_structure: 1926 # TODO: remove after Dec 2024 # backwards compatability: unused as of 0.3.0 files: - name: C-GAP-17.extxyz hash: 8dd037b59c88