Screening of material defects using universal machine-learning interatomic potentials
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This repository presents the two databases presented in the article "Screening of material defects using universal machine-learning interatomic potentials". It contains : README.txt : Text file containing the instruction on how to use the databases. Vacancies.db/Vacancies.json : Database containing the vacancy formation energies for all 86,259 materials. 2D_layers.db/2D_layers.json : Database containing the structures of the 8,017 layers obtained from chemical etching.
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Zenodo创建时间:
2025-03-25



