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Development of an atomic cluster expansion potential for iron and its oxides
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作者 Baptiste Bienvenu Mira Todorova +4 位作者 Jörg Neugebauer Dierk Raabe Matous Mrovec Yury Lysogorskiy Ralf Drautz 《npj Computational Materials》 2025年第1期825-835,共11页
The combined structural and electronic complexity of iron oxides poses many challenges to atomistic modeling.To leverage limitations in terms of the accessible length and time scales,one requires a physically justifie... The combined structural and electronic complexity of iron oxides poses many challenges to atomistic modeling.To leverage limitations in terms of the accessible length and time scales,one requires a physically justified interatomic potential which is accurate to correctly account for the complexity of iron-oxygen systems.Such a potential is not yet available in the literature.In this work,we propose a machine-learning potential based on the Atomic Cluster Expansion for modeling the iron-oxygen system,which explicitly accounts for magnetism.We test the potential on a wide range of properties of iron and its oxides,and demonstrate its ability to describe the thermodynamics of systems spanning the whole range of oxygen content and including magnetic degrees of freedom. 展开更多
关键词 physically justified interatomic potential machine learning potential iron oxides MAGNETISM atomic cluster expansion atomistic modelingto THERMODYNAMICS
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