Insights from symmetry: Improving machine-learned models for grain boundary segregation

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Bibliographic Details
Published in:Computational materials science 2024-01, Vol.232
Main Authors: Borges, Y., Huber, L., Zapolsky, H., Patte, R., Demange, G.
Format: Article
Language:English
Subjects:
Physics
Online Access:Get full text
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ISSN:0927-0256
1879-0801
DOI:10.1016/j.commatsci.2023.112663