Dataset

Carbon_GAP_JCP_2020_train




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Name Carbon_GAP_JCP_2020_train
Extended ID Carbon_GAP_JCP_2020_train__Rowe-Deringer-Gasparotto-Csanyi-Michaelides__DS_sz9me9r61581_0
Description Training data generated for GAP-20. GAP-20 describes the properties of the bulk crystalline and amorphous phases, crystal surfaces, and defect structures with an accuracy approaching that of direct ab initio simulation, but at a significantly reduced cost. The final potential is fitted to reference data computed using the optB88-vdW density functional theory (DFT) functional.
Authors Patrick Rowe
Volker L. Deringer
Piero Gasparotto
Gábor Csányi
Angelos Michaelides
DOI 10.60732/9d095830
https://commons.datacite.org/doi.org/10.60732/9d095830
https://doi.datacite.org/dois/10.60732%2F9d095830
https://doi.org/10.60732/9d095830

Cite as: Rowe, P., Deringer, V. L., Gasparotto, P., Csányi, G., and Michaelides, A. "Carbon GAP JCP 2020 train." ColabFit, 2023. https://doi.org/10.60732/9d095830.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements
C (100.0%)
Number of Configurations 6,088
Number of Atoms 400,275
Publication Link https://doi.org/10.1063/5.0005084
Data Source Link https://www.repository.cam.ac.uk/handle/1810/307452
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Configuration Sets by ID
ColabFit ID DS_sz9me9r61581_0
Downloads 10
Files colabfitspec.json

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