Dataset
CGM-MLP_natcomm2023_Cu-C-O_deposition
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Name | CGM-MLP_natcomm2023_Cu-C-O_deposition |
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Extended ID | CGM-MLP_natcomm2023_Cu-C-O_deposition__Zhang-Yi-Lai-Peng-Li__DS_xzo1tvni8bay_0 |
Description | Training simulations from CGM-MLP_natcomm2023 of carbon deposition on a Cu surface. This appears similar to CGM-MLP_natcomm2023_CU-C_deposition, as there are no O atoms present in this set. 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/ae9380c5
https://commons.datacite.org/doi.org/10.60732/ae9380c5 https://doi.datacite.org/dois/10.60732%2Fae9380c5 https://doi.org/10.60732/ae9380c5 Cite as: Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 Cu-C-O deposition." ColabFit, 2024. https://doi.org/10.60732/ae9380c5. For other citation formats, see the DataCite Fabrica page for this dataset. |
Calculated Property Types |
atomic_forces cauchy_stress energy |
Elements |
C (11.0%) Cu (89.0%) |
Number of Configurations | 1,694 |
Number of Atoms | 326,328 |
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_xzo1tvni8bay_0 |
Files | colabfitspec.json |
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