A physics informed machine learning framework for fatigue life prediction of additively manufactured Ni-based superalloy

Engineering Fracture Mechanics 2026

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Authors: Pengbo Wang, Dianyin Hu, Rongqiao Wang, Guanxiang Ma, Feng Zhang, Filippo Berto, Wenwang Wu, Guian Qian

DOI: 10.1016/j.engfracmech.2026.112200

Cited by: 4

References: 35

Fields of Study & Subjects

High Temperature Alloys and Creep Additive Manufacturing Materials and Processes Machine Learning in Materials Science

References 35