Dataset

CGM-MLP_natcomm2023_screening_graphite_train



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Name CGM-MLP_natcomm2023_screening_graphite_train
Extended ID CGM-MLP_natcomm2023_screening_graphite_train_ZhangYiLaiPengLi__DS_jasbxoigo7r4_0
Description 40 graphite structures with different lattice constants ranging from 2.0 to 3.2 Å, with a 0.03 Å increment. 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 10.60732/85590078
https://commons.datacite.org/doi.org/10.60732/85590078
https://doi.datacite.org/dois/10.60732%2F85590078
https://doi.org/10.60732/85590078

Cite as: Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 screening graphite train." ColabFit, 2024. https://doi.org/10.60732/85590078.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements C (100.0%)
Number of Data Objects 41
Number of Configurations 41
Number of Atoms 1,968
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_jasbxoigo7r4_0
Files colabfitspec.json

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