Description
This dataset contaims the calculated atomic charge density, atomic magnetic moment, and total energy for 1600 configurations of iron-silicon (Fe-Si) binary alloys body-centered cubic (BCC) structures at 3, 6, and 9% Si. These large scale (1024 atom) ab initio calculations were produced with the LSMS code on the OLCF Summit supercomputer. LSMS GitHub repository: https://github.com/mstsuite/lsms
Research output
- 1 Article
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Fast and stable deep-learning predictions of material properties for solid solution alloys
Lupo Pasini, M., Li, Y. W., Yin, J., Zhang, J., Barros, K. & Eisenbach, M., 2020, In: Journal of Physics Condensed Matter. 33, 8, 084005.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations
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