Dataset
mlearn_Li_test
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Name | mlearn_Li_test |
---|---|
Extended ID | mlearn_Li_test__Zuo-Chen-Li-Deng-Chen-Behler-Csanyi-Shapeev-Thompson-Wood-Ong__DS_jf20mvwao5xi_0 |
Description | A comprehensive DFT data set was generated for six elements - Li, Mo, Ni, Cu, Si, and Ge. These elements were chosen to span a variety of chemistries (main group metal, transition metal, and semiconductor), crystal structures (bcc, fcc, and diamond) and bonding types (metallic and covalent). This dataset comprises only the Li configurations |
Authors |
Yunxing Zuo Chi Chen Xiangguo Li Zhi Deng Yiming Chen Jörg Behler Gábor Csányi Alexander V. Shapeev Aidan P. Thompson Mitchell A. Wood Shyue Ping Ong |
DOI |
10.60732/d8a6d50c
https://commons.datacite.org/doi.org/10.60732/d8a6d50c https://doi.datacite.org/dois/10.60732%2Fd8a6d50c https://doi.org/10.60732/d8a6d50c Cite as: Zuo, Y., Chen, C., Li, X., Deng, Z., Chen, Y., Behler, J., Csányi, G., Shapeev, A. V., Thompson, A. P., Wood, M. A., and Ong, S. P. "mlearn Li test." ColabFit, 2023. https://doi.org/10.60732/d8a6d50c. For other citation formats, see the DataCite Fabrica page for this dataset. |
Calculated Property Types |
atomic_forces cauchy_stress energy |
Elements |
Li (100.0%)
|
Number of Configurations | 29 |
Number of Atoms | 1,320 |
Publication Link | https://doi.org/10.1021/acs.jpca.9b08723 |
Data Source Link | https://github.com/materialsvirtuallab/mlearn |
Configuration Sets by Name | |
Configuration Sets by ID | |
ColabFit ID | DS_jf20mvwao5xi_0 |
Downloads | 10 |
Files | colabfitspec.json |
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