Multi-Net strategy: Accelerating physics-informed neural networks for solving partial differential equations

Yunzhuo Wang, Jianfeng Li, Liangying Zhou, Jingwei Sun, Guangzhong Sun

Abstract: Partial differential equations (PDEs) are the most ubiquitous tools for modeling natural science problems and have long received attention. Physics-informed neural networks (PINNs) are emerging appro...