A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design

Progress in Natural Science Materials International 2026

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Authors: Linlin Sun, Jie Xiong, Qingshuang Ma, Chenghao Pei, Huijun Li, Qiuzhi Gao

DOI: 10.1016/j.pnsc.2025.12.004

Cited by: 2

References: 82

Fields of Study & Subjects

Machine Learning in Materials Science High Temperature Alloys and Creep Advanced Combustion Engine Technologies

References 82