Investigating the High-Temperature Oxidation Behavior of Ti-5Sn-xEr and Ti-6.5Ni-xEr Alloys Using Multi-scale Convolutional Neural Networks

Journal of Materials Engineering and Performance 2026

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Authors: Kangying Li, Yongfa Zheng, Jesse Zhu, Yuanxing Huang, Changsheng Qin, Tonghan Yang

DOI: 10.1007/s11665-026-13225-2

Cited by: 0

References: 161

Fields of Study & Subjects

Machine Learning in Materials Science Intermetallics and Advanced Alloy Properties Titanium Alloys Microstructure and Properties

References 161