.. This file is autogenerated by dev/scripts/generate_page.py P-GAP-20 ======== .. grid:: 1 1 2 2 .. grid-item:: .. raw:: html :file: ../_static/visualisations/P-GAP-20.html .. grid-item:: :class: info-card The complete Phosphorus dataset used to train the `P-GAP-20 `_ model from `A General-Purpose Machine-Learning Force Field for Bulk and Nanostructured Phosphorus `_. This dataset contains structures generated by GAP-RSS, together with liquids, crystals and isolated fragments. For more information about the dataset's construction, see the paper's `Supplementary Information `__. .. code-block:: pycon >>> from load_atoms import load_dataset >>> load_dataset("P-GAP-20") P-GAP-20: structures: 4,798 atoms: 140,910 species: P: 100.00% properties: per atom: (forces) per structure: (energy) License ------- This dataset is licensed under the `CC BY 4.0 `_ license. Citation -------- If you use this dataset in your work, please cite the following: .. code-block:: latex @article{Deringer-20-10, title = { A General-Purpose Machine-Learning Force Field for Bulk and Nanostructured Phosphorus }, author = { Deringer, Volker L. and Caro, Miguel A. and Cs{\'a}nyi, G{\'a}bor }, year = {2020}, journal = {Nature Communications}, volume = {11}, number = {1}, pages = {5461}, doi = {10.1038/s41467-020-19168-z}, } Properties ---------- **Per-atom**: .. list-table:: :header-rows: 1 * - Property - Units - Type - Description * - :code:`forces` - eV/Å - :class:`ndarray(N, 3) ` - force vectors (DFT + MBD) **Per-structure**: .. list-table:: :header-rows: 1 * - Property - Units - Type - Description * - :code:`energy` - eV - :class:`~float64` - total structure energy (DFT + MBD) Miscellaneous information ------------------------- ``P-GAP-20`` is imported as an :class:`~load_atoms.atoms_dataset.InMemoryAtomsDataset`: .. dropdown:: Importer script for :code:`P-GAP-20` .. literalinclude:: ../../../src/load_atoms/database/importers/p_gap_20.py :language: python .. dropdown:: :class:`~load_atoms.database.DatabaseEntry` for :code:`P-GAP-20` .. code-block:: yaml name: P-GAP-20 year: 2020 description: | The complete Phosphorus dataset used to train the `P-GAP-20 `_ model from `A General-Purpose Machine-Learning Force Field for Bulk and Nanostructured Phosphorus `_. This dataset contains structures generated by GAP-RSS, together with liquids, crystals and isolated fragments. For more information about the dataset's construction, see the paper's `Supplementary Information `__. category: Potential Fitting minimum_load_atoms_version: 0.2 citation: | @article{Deringer-20-10, title = { A General-Purpose Machine-Learning Force Field for Bulk and Nanostructured Phosphorus }, author = { Deringer, Volker L. and Caro, Miguel A. and Cs{\'a}nyi, G{\'a}bor }, year = {2020}, journal = {Nature Communications}, volume = {11}, number = {1}, pages = {5461}, doi = {10.1038/s41467-020-19168-z}, } license: CC BY 4.0 representative_structure: 280 per_atom_properties: forces: desc: force vectors (DFT + MBD) units: eV/Å per_structure_properties: energy: desc: total structure energy (DFT + MBD) units: eV # TODO: remove after Dec 2024 # backwards compatability: unused as of 0.3.0 files: - url: https://zenodo.org/record/4003703/files/P_GAP_20_fitting_data.xyz hash: ab3059018068