Dataset

CGM-MLP_natcomm2023_Cu-C_deposition



Dataset Downloads Coming Soon

Name CGM-MLP_natcomm2023_Cu-C_deposition
Extended ID CGM-MLP_natcomm2023_Cu-C_deposition__Zhang-Yi-Lai-Peng-Li__DS_vgy50b4qz4p7_0
Description Training simulations from CGM-MLP_natcomm2023 of carbon deposition on a Cu 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/c3b4e684
https://commons.datacite.org/doi.org/10.60732/c3b4e684
https://doi.datacite.org/dois/10.60732%2Fc3b4e684
https://doi.org/10.60732/c3b4e684

Cite as: Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 Cu-C deposition." ColabFit, 2024. https://doi.org/10.60732/c3b4e684.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements C (12.79%)
Cu (87.21%)
Number of Configurations 1,177
Number of Atoms 204,591
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_vgy50b4qz4p7_0
Files colabfitspec.json

No uploaded content is transferred in ownership from the original creators to ColabFit. All content is distributed under the license specified by its contributor who has stated that he or she has the authority to share it under the specified license.