Uncovering what machine learning learns from structure-dynamics correlations in Cu50Zr50 supercooled liquids

Journal of Non-Crystalline Solids 2026

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Authors: Y.F. He, M.Z. Li
DOI: 10.1016/j.jnoncrysol.2026.124002
Cited by: 0
References: 46

Fields of Study & Subjects

Metallic Glasses and Amorphous Alloys Material Dynamics and Properties Machine Learning in Materials Science

Publication details

Journal / source
Journal of Non-Crystalline Solids
Volume
679
Pages
124002–124002
Publication date
9 February 2026
Language
EN