Hanxun Jin

1. Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
   2023/07/17 by Hanxun Jin, Enrui Zhang, Horacio D. Espinosa · 13 citations
   Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Model Reduction and Neural Networks #Hydrogen embrittlement and corrosion behaviors in metals
2. Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks
   2023/08/29 by Siyuan Song, Hanxun Jin, Song, Siyuan +1 · 1 citation
   Engineering · Physics and Astronomy · #Elasticity and Material Modeling #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Model Reduction and Neural Networks #Oil and Gas Production Techniques
3. Harnessing disorder to decouple extension and shear in kirigami metamaterials
   2026/07/18 by Haomin Yu, Hanxun Jin, Mingxuan Bi +5
   #cond-mat.mtrl-sci #cs.LG