2 papers
math.NA2023
Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
Guanhang Lei, Zhen Lei, Lei Shi +2
Physics-informed neural networks (PINNs) have been demonstrated to be efficient in solving partial differential equations (PDEs) from a variety of experimental perspectives. Some r…
math.NA2022
Solving parametric partial differential equations with deep rectified quadratic unit neural networks
Zhen Lei, Lei Shi, Chenyu Zeng
Implementing deep neural networks for learning the solution maps of parametric partial differential equations (PDEs) turns out to be more efficient than using many conventional num…