Deep learning-driven innovation in metallic materials: A comprehensive review on microstructure analysis, property prediction, and inverse design

Journal of Material Science and Technology 2026

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Authors: Yulin Shengcao, Xu Qin, Qinghang Wang, Huabao Yang, Yanfu Chai, Dabiao Xia, Bo Jiang, Hyoung Seop Kim

DOI: 10.1016/j.jmst.2026.02.007

Cited by: 13

References: 146

Fields of Study & Subjects

Machine Learning in Materials Science Model Reduction and Neural Networks Microstructure and mechanical properties

References 146