68 citations · 69 across the 3 of their papers we have counts for
3 papers
cs.CE2023
Boundary integrated neural networks (BINNs) for 2D elastostatic and piezoelectric problems: Theory and MATLAB code
Peijun Zhang, Chuanzeng Zhang, Yan Gu +2
In this paper, we make the first attempt to apply the boundary integrated neural networks (BINNs) for the numerical solution of two-dimensional (2D) elastostatic and piezoelectric…
cs.CE2023★ 1 cited
Adaptive physics-informed neural networks for dynamic thermo-mechanical coupling problems in large-size-ratio functionally graded materials
Lin Qiu, Yanjie Wang, Tian He +2
In this paper, we present the adaptive physics-informed neural networks (PINNs) for resolving three dimensional (3D) dynamic thermo-mechanical coupling problems in large-size-ratio…
cs.CE2022★ 68 cited
Enriched physics-informed neural networks for in-plane crack problems: Theory and MATLAB codes
Yan Gu, Chuanzeng Zhang, Peijun Zhang +1
In this paper, a method based on the physics-informed neural networks (PINNs) is presented to model in-plane crack problems in the linear elastic fracture mechanics. Instead of for…