January 07, 2022 article Deep Neural Network-Based Physics-Inspired Model of Self-Sensing Displacement Estimation for Antagonistic Shape Memory Alloy Actuator IEEE Sensors Journal DOI: 10.1109/jsen.2022.3141190 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 28 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 Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests 2024 Smart Materials and Structures article Materials Science Shape Memory Alloy Transformations Open access 7 citations 1 result References 0