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Atomistic Modeling of Chemical Disorder in Materials: Bridging Conventional Methods and AI-Assisted Approaches

Peng, Jiayu et al.
arXiv (All) · Papers
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chemical-physicsdisordered-systems-and-neural-networksmachine-learningmaterials-science
Chemical disorder, originating from the mixed occupation of crystallographic sites by multiple elements, is widespread in alloys, ceramics, and compositionally complex materials, where short- and long-range orderings strongly influence properties. A central obstacle is the representation gap between
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