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Name CA-9_validation
Extended ID CA-9_validation_HedmanRotheJohanssonSandinLarssonMiyamoto__DS_07zjrtacjg3z_0
Description Configurations from CA-9 dataset used during validation step for NNP_CA-9 potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials
Authors Daniel Hedman
Tom Rothe
Gustav Johansson
Fredrik Sandin
J. Andreas Larsson
Yoshiyuki Miyamoto
DOI 10.60732/5cebd981

Cite as: Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. "CA-9 validation." ColabFit, 2023.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements C (100.0%)
Number of Data Objects 8,000
Number of Configurations 8,000
Number of Atoms 436,601
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_07zjrtacjg3z_0
Files colabfitspec.json

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