Dataset
CGM-MLP_natcomm2023_Cu-C_metal_surface
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| Name | CGM-MLP_natcomm2023_Cu-C_metal_surface |
|---|---|
| Extended ID | CGM-MLP_natcomm2023_Cu-C_metal_surface_ZhangYiLaiPengLi__DS_mo7q9ajg1lw8_0 |
| Description | Training simulations from CGM-MLP_natcomm2023 of carbon on a Cu metal surface. This dataset was one of the datasets used in training during the process of producing an active learning dataset for the purposes of exploring substrate-catalyzed deposition on metal surfaces such as Cu(111), Cr(110), Ti(001), and oxygen-contaminated Cu(111) 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, Cr and Ti surfaces. |
| Authors |
Di Zhang Peiyun Yi Xinmin Lai Linfa Peng Hao Li |
| DOI |
10.60732/76552006
https://commons.datacite.org/doi.org/10.60732/76552006 https://doi.datacite.org/dois/10.60732%2F76552006 https://doi.org/10.60732/76552006 Cite as: Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 Cu-C metal surface." ColabFit, 2024. https://doi.org/10.60732/76552006. For other citation formats, see the DataCite Fabrica page for this dataset. |
| Elements |
C (8.04%) Cu (91.96%) |
| Number of Data Objects | 520 |
| Number of Configurations | 520 |
| Number of Atoms | 122,294 |
| 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) |
| Data Objects | |
| ColabFit ID | DS_mo7q9ajg1lw8_0 |
| Files | colabfitspec.json |
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