Dataset

CA-9_RR_validation



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Name CA-9_RR_validation
Extended ID CA-9_RR_validation_HedmanRotheJohanssonSandinLarssonMiyamoto__DS_mr2qaiqh2sx2_0
Description Random-random configurations from CA-9 dataset used during validation step for NNP_RR 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 10.60732/1005a764
https://commons.datacite.org/doi.org/10.60732/1005a764
https://doi.datacite.org/dois/10.60732%2F1005a764
https://doi.org/10.60732/1005a764

Cite as: Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. "CA-9 RR validation." ColabFit, 2023. https://doi.org/10.60732/1005a764.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements C (100.0%)
Number of Data Objects 4,002
Number of Configurations 4,002
Number of Atoms 218,184
Links https://doi.org/10.24435/materialscloud:6h-yj
https://doi.org/10.1016/j.cartre.2021.100027
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_mr2qaiqh2sx2_0
Files colabfitspec.json

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