X Wang, ZY Yin, W Wu, HH Zhu - International Journal of Mechanical …, 2025 - Elsevier
Classical numerical methods such as finite element method (FEM) face limitations due to their low efficiency when addressing large-scale problems. As a novel paradigm, the physics …
Abstract Machine learning (ML) has been used to solve multiphysics problems like thermoelasticity through multi-layer perceptron (MLP) networks. However, MLPs have high …
T Le-Duc, TN Vo, H Nguyen-Xuan, J Lee - Finite Elements in Analysis and …, 2024 - Elsevier
Deep energy method (DEM) has shown its successes to solve several problems in solid mechanics recently. It is known that determining proper integration scheme to precisely …
X Wang, ZY Yin - Available at SSRN 4841554 - papers.ssrn.com
Physics-informed neural networks (PINNs) have recently prevailed as a differentiable solver in solid mechanics. However, PINNs have quite limited caliber when dealing with …