Dataset
CGM-MLP_natcomm2023_screening_amorphous_carbon_train
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Name | CGM-MLP_natcomm2023_screening_amorphous_carbon_train |
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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 | 2,559 |
Number of Atoms | 168,191 |
Links |
https://github.com/sjtudizhang/CGM-MLP https://doi.org/10.1038/s41467-023-44525-z |
Configuration Sets by Name | (None) |
Configuration Sets by ID | (None) |
Calculated Properties | |
ColabFit ID | DS_taxwl7jo4f8a_0 |
Files | colabfitspec.json |
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