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

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math.DS2023★ 1 cited

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…