Dataset

CGM-MLP_natcomm2023_Cr-C_deposition




Species content of dataset


Name :
CGM-MLP_natcomm2023_Cr-C_deposition
Authors :
Di Zhang, Peiyun Yi, Xinmin Lai, Linfa Peng, Hao Li
Description :
Training simulations from CGM-MLP_natcomm2023 of carbon deposition on a Cr 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.
Cite As :
Zhang, D., Yi, P., Lai, X., Peng, L., and Li, H. "CGM-MLP natcomm2023 Cr-C deposition." ColabFit, 2024. https://doi.org/10.60732/e25bae2e.
ColabFit ID :
Date Added :
2024-01-12
License :
MIT
Downloads :
28
Num. Configurations :
1,192
Num. Atoms :
298,114
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
C (23.48%) Cr (76.52%)
Methods :
DFT-PBE+D3
Software :
CP2K
Spec File :
Configuration Sets by Name :
Configuration Sets by ID :
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