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20232025
most citedSolving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks

1 citations · 2 across the 4 of their papers we have counts for

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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…