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.
Fourier warm start for physics-informed neural networks
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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.