Dataset
MTPu_2023
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Name | MTPu_2023 |
---|---|
Extended ID | MTPu_2023__Zongo-Sun-Ouellet-Plamondon-Beland__DS_326i4urabisb_0 |
Description | A comprehensive database generated using density functional theory simulations, encompassing a wide range of crystal structures, point defects, extended defects, and disordered structure. |
Authors |
Karim Zongo Hao Sun Claudiane Ouellet-Plamondon Laurent Karim Beland |
DOI |
10.60732/41115bd2
https://commons.datacite.org/doi.org/10.60732/41115bd2 https://doi.datacite.org/dois/10.60732%2F41115bd2 https://doi.org/10.60732/41115bd2 Cite as: Zongo, K., Sun, H., Ouellet-Plamondon, C., and Beland, L. K. "MTPu 2023." ColabFit, 2023. https://doi.org/10.60732/41115bd2. For other citation formats, see the DataCite Fabrica page for this dataset. |
Calculated Property Types |
atomic_forces cauchy_stress energy |
Elements |
O (25.85%)
Si (74.15%) |
Number of Configurations | 1,061 |
Number of Atoms | 71,594 |
Publication Link | https://doi.org/10.48550/arXiv.2311.15170 |
Data Source Link | https://gitlab.com/Kazongogit/MTPu |
Configuration Sets by Name | |
Configuration Sets by ID | |
ColabFit ID | DS_326i4urabisb_0 |
Downloads | 8 |
Files | colabfitspec.json |
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