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CGM-MLP_natcomm2023_screening_amorphous_carbon_train




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Name CGM-MLP_natcomm2023_screening_amorphous_carbon_train
Extended ID CGM-MLP_natcomm2023_screening_amorphous_carbon_train__Zhang-Yi-Lai-Peng-Li__DS_taxwl7jo4f8a_0
Description 2558 structures selected from the GAP-20 database. This dataset was one of the datasets used in testing screening parameters during the process of producing an active learning dataset for Cu-C interactions for the purposes of exploring substrate-catalyzed deposition as a means of controllable synthesis of carbon nanomaterials. The combined dataset includes structures from the Carbon_GAP_20 dataset and additional configurations of carbon clusters on a Cu(111) surface.
Authors Di Zhang
Peiyun Yi
Xinmin Lai
Linfa Peng
Hao Li
DOI 10.60732/f340d1d9
https://commons.datacite.org/doi.org/10.60732/f340d1d9
https://doi.datacite.org/dois/10.60732%2Ff340d1d9
https://doi.org/10.60732/f340d1d9

Cite as: Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 screening amorphous carbon train." ColabFit, 2024. https://doi.org/10.60732/f340d1d9.
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 2,558
Number of Atoms 168,066
Publication Link https://doi.org/10.1038/s41467-023-44525-z
Data Source Link https://github.com/sjtudizhang/CGM-MLP
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_taxwl7jo4f8a_0
Downloads 9
Files colabfitspec.json

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