An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data

Research Square 2026 Preprint Open access

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Authors: Chuanjie Wang, Yuejie Hu, Haiyang Wang, Ming Chen, Gang Chen, Bin Qiang Guo, Mingwang Fu

DOI: 10.21203/rs.3.rs-8353297/v1

Cited by: 0

Fields of Study & Subjects

Shape Memory Alloy Transformations Titanium Alloys Microstructure and Properties Machine Learning in Materials Science