Dataset
ANI-Al_NC2021-test
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Name | ANI-Al_NC2021-test |
---|---|
Extended ID | ANI-Al_NC2021-test__Smith-Nebgen-Mathew-Chen-Lubbers-Burakovsky-Tretiak-Nam-Germann-Fensin-Barros__DS_bnnyjpaqb09i_0 |
Description | Approximately 2800 configurations from a test dataset–one of a pair of train/test datasets of aluminum in crystal and melt phases, used for training and testing an ANI neural network model. |
Authors |
Justin S. Smith Benjamin Nebgen Nithin Mathew Jie Chen Nicholas Lubbers Leonid Burakovsky Sergei Tretiak Hai Ah Nam Timothy Germann Saryu Fensin Kipton Barros |
DOI |
10.60732/d1e27447
https://commons.datacite.org/doi.org/10.60732/d1e27447 https://doi.datacite.org/dois/10.60732%2Fd1e27447 https://doi.org/10.60732/d1e27447 Cite as: Smith, J. S., Nebgen, B., Mathew, N., Chen, J., Lubbers, N., Burakovsky, L., Tretiak, S., Nam, H. A., Germann, T., Fensin, S., and Barros, K. "ANI-Al NC2021-test." ColabFit, 2023. https://doi.org/10.60732/d1e27447. For other citation formats, see the DataCite Fabrica page for this dataset. |
Calculated Property Types |
atomic_forces cauchy_stress energy |
Elements |
Al (100.0%)
|
Number of Configurations | 2,769 |
Number of Atoms | 357,851 |
Publication Link | https://doi.org/10.1038/s41467-021-21376-0 |
Data Source Link | https://github.com/atomistic-ml/ani-al |
Configuration Sets by Name | |
Configuration Sets by ID | |
ColabFit ID | DS_bnnyjpaqb09i_0 |
Downloads | 7 |
Files | colabfitspec.json |
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