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Name CA-9_test
Extended ID CA-9_test_HedmanRotheJohanssonSandinLarssonMiyamoto__DS_h0mshvvbxlai_0
Description Test configurations from CA-9 dataset used to evaluate trained NNPs.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 10.60732/5a57f6ad

Cite as: Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. "CA-9 test." ColabFit, 2023.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements C (100.0%)
Number of Data Objects 2,727
Number of Configurations 2,727
Number of Atoms 206,302
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects
ColabFit ID DS_h0mshvvbxlai_0
Files colabfitspec.json

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