Name: CA-9 test
License: CC-BY-4.0

Dataset

CA-9_test

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Download Dataset Parquet Files 5.0 MB

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Species content of dataset

Name :

CA-9_test

Authors :

Daniel Hedman, Tom Rothe, Gustav Johansson, Fredrik Sandin, J. Andreas Larsson, Yoshiyuki Miyamoto

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

DOI :

https://doi.org/10.60732/5a57f6ad https://commons.datacite.org/doi.org/10.60732/5a57f6ad

Cite As :

Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. "CA-9 test." ColabFit, 2023. https://doi.org/10.60732/5a57f6ad.

ColabFit ID :

DS_h0mshvvbxlai_0

Extended ID :

CA-9_test__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_h0mshvvbxlai_0

Date Added :

2023-07-18

License :

CC-BY-4.0

Downloads :

Num. Configurations :

2,726

Num. Atoms :

206,238

Calculated Property Types :

atomic_forces cauchy_stress energy

Elements :

C (100.0%)

Methods :

DFT-PBE

Software :

VASP

Publication Link :

https://doi.org/10.1016/j.cartre.2021.100027

Data Source Link :

https://doi.org/10.24435/materialscloud:6h-yj

Spec File :

colabfitspec.json

Configuration Sets by Name :

Configuration Sets by ID :

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