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Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten

1. Xi Zhang, Sergiy V. Divinski, Blazej Grabowski

Research article (journal) | Peer reviewed

Details about the publication

Journal: Nature Communications
Volume: 16
Article number: 394
Status: Published
Release year: 2025
Language in which the publication is written: English
DOI: https://doi.org/10.1038/s41467-024-55759-w
Keywords: diffusion; transition state; anharmonicity

Authors from the University of Münster

Divinskyi, Sergii
Professorship of Materials Physics (Prof. Wilde)