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

Crossref DOI link: https://doi.org/10.1038/s41467-024-55759-w

Published Online: 2025-01-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Xi https://orcid.org/0000-0003-0319-8203
Divinski, Sergiy V. https://orcid.org/0000-0003-1935-9542
Grabowski, Blazej https://orcid.org/0000-0003-4281-5665
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Text and Data Mining valid from 2025-01-04

Version of Record valid from 2025-01-04
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Article History

Received: 6 November 2023

Accepted: 23 December 2024

First Online: 4 January 2025

Competing interests

: The authors declare no competing interests.