Temperature dependent strength prediction of nanotwinned nickel-based single crystal superalloys by integrating atomistic simulation and machine learning

Mechanics of Materials 2026

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Authors: Lu Sun, Sheng Zhang, Zhijia Qin, Linli Zhu, Jiaqi Zhu, Dongfeng Li

DOI: 10.1016/j.mechmat.2026.105623

Cited by: 2

References: 57

Fields of Study & Subjects

Machine Learning in Materials Science High Temperature Alloys and Creep Boron and Carbon Nanomaterials Research

References 57