Evolutionary computing and machine learning for discovering of low-energy defect configurations

Abstract Density functional theory (DFT) has become a standard tool for the study of point defects in materials. However, finding the most stable defective structures remains a very challenging task as it involves the solution of a multimodal optimization problem with a high-dimensional objective fu...

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Auteurs principaux: Marco Arrigoni, Georg K. H. Madsen
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/a88de3e9469f4940a039fdef29558a9d
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