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+ ---
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+ configs:
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+ - config_name: default
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+ data_files: "main/*.parquet"
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+ license: cc-by-4.0
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+ tags:
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+ - molecular dynamics
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+ - mlip
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+ - interatomic potential
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+ pretty_name: CA-9 validation
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+ ---
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+ # Dataset
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+ CA-9 validation
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+ ### Description
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+ 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
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+ <br>Additional details stored in dataset columns prepended with "dataset_".
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+ ### Dataset authors
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+ Daniel Hedman, Tom Rothe, Gustav Johansson, Fredrik Sandin, J. Andreas Larsson, Yoshiyuki Miyamoto
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+ ### Publication
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+ https://doi.org/10.1016/j.cartre.2021.100027
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+ ### Original data link
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+ https://doi.org/10.24435/materialscloud:6h-yj
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+ ### License
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+ CC-BY-4.0
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+ ### Number of unique molecular configurations
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+ 8000
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+ ### Number of atoms
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+ 436601
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+ ### Elements included
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+ C
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+ ### Properties included
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+ energy, atomic forces, cauchy stress
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+ ### Cite this dataset
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+ Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. _CA-9 validation_. ColabFit, 2023. https://doi.org/10.60732/5cebd981