Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions

Xi'an Li, Jiaxin Deng, Jinran Wu +3

Deep learning methods have gained considerable interest in the numerical solution of various partial differential equations (PDEs). One particular focus is physics-informed neural…