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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