Ground-state structure search of defective high-entropy alloys using machine-learning potentials and Monte Carlo sampling

Computational Materials Science 2026

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Authors: Siya Zhu, Raymundo Arróyave

DOI: 10.1016/j.commatsci.2026.114752

Cited by: 3

References: 55

Fields of Study & Subjects

High Entropy Alloys Studies Machine Learning in Materials Science Titanium Alloys Microstructure and Properties

References 55