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
Elements C (8.04%)
Cu (91.96%)
Number of Data Objects 520
Number of Configurations 520
Number of Atoms 122,294
Links https://doi.org/10.1038/s41467-023-44525-z
https://github.com/sjtudizhang/CGM-MLP
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_mo7q9ajg1lw8_0
Files colabfitspec.json

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