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Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators
Machine learning surrogates based on neural operators have shown broad applicability in solving forward PDE problems. However, eigenvalue problems, in which an eigenparameter and one of several valid eigenmodes must be simultaneously solved, remain difficult because standard operator learning formul
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