June 05, 2026 article Modeling and Failure Prediction of Superelastic Shape Memory Alloy Wire Using NARX-Based Neural Network and Gaussian Process Regression Approach Journal of Materials Engineering and Performance DOI: 10.1007/s11665-026-14247-6 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning Enhanced Dynamic Response Modelling of Superelastic Shape Memory Alloy Wires 2022 Materials article Materials Science Shape Memory Alloy Transformations Open access 27 citations 1 result