NIPS is a neural operator that uses linear attention and Fourier kernels to simultaneously predict PDE solutions and recover hidden material properties from limited data.
(b): displacement fields (second row) ux corresponding to the same loading field (first row) fx
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Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
NIPS is a neural operator that uses linear attention and Fourier kernels to simultaneously predict PDE solutions and recover hidden material properties from limited data.