Download Dataset XYZ file

Name CA-9-BB-training
Extended ID CA-9-BB-training_HedmanRotheJohanssonSandinLarssonMiyamoto__DS_y2h1podlwd81_0
Description Binning-binning configurations from CA-9 dataset used for training NNP_BB 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
Elements C (100.0%)
Number of Data Objects 20,012
Number of Configurations 20,012
Number of Atoms 1,054,055
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Data Objects Too many to display
ColabFit ID DS_y2h1podlwd81_0
Files colabfitspec.json

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