Machine-learning prediction for solid–liquid interfacial properties from micrographs in Al–Cu and Fe–Mn alloys

Acta Materialia 2026

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Authors: Y. Sakai, Munekazu Ohno

DOI: 10.1016/j.actamat.2026.122172

Cited by: 2

References: 36

Fields of Study & Subjects

Solidification and crystal growth phenomena Machine Learning in Materials Science Aluminum Alloy Microstructure Properties

References 36