GEN is a neural network that solves PDEs by constructing explicit function approximations from basis functions based on prior PDE knowledge, yielding more robust and extensible solutions than standard PINNs.
Gabor-filtered fourier neural operator for solving partial differential equations
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General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations
GEN is a neural network that solves PDEs by constructing explicit function approximations from basis functions based on prior PDE knowledge, yielding more robust and extensible solutions than standard PINNs.