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 1,062
Number of Atoms 71,595
Links https://gitlab.com/Kazongogit/MTPu
https://doi.org/10.48550/arXiv.2311.15170
Configuration Sets by Name MTPu_2023_Si — Configurations of Si from MTPu_2023 dataset
MTPu_2023_SiO2 — Configurations of SiO2 from MTPu_2023 dataset
MTPu_2023_O — Configurations of oxygen from MTPu_2023 dataset
Configuration Sets by ID CS_o4af7rb54a9t_0
CS_vc65tmx2nmyf_0
CS_ev0gvpfozaz4_0
Calculated Properties
ColabFit ID DS_326i4urabisb_0
Files colabfitspec.json

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