A separable Fourier-feature neural network with learnable frequencies and a three-level frequency sampler is reported to solve high-frequency PDEs with far fewer parameters than vanilla PINNs.
Physics-informed neural networks (pinns) for fluid mechanics: A review
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Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
A separable Fourier-feature neural network with learnable frequencies and a three-level frequency sampler is reported to solve high-frequency PDEs with far fewer parameters than vanilla PINNs.