no code implementations • 6 Feb 2024 • Feilong Jiang, Xiaonan Hou, Min Xia
Although physics-informed neural networks (PINNs) have shown great potential in dealing with nonlinear partial differential equations (PDEs), it is common that PINNs will suffer from the problem of insufficient precision or obtaining incorrect outcomes.
