FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation
The FC-PINO (Fourier-Continuation-based Physics-Informed Neural Operator) architecture is introduced, which extends the accuracy and efficiency of PINO and spectral differentiation to non-periodic and non-smooth PDEs and demonstrates that Fourier continuation is critical for extending PINO to a wider range of PDE probl...
Ha Maust, Valentin Duruisseaux, Zong-Yi Li et al.
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