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High Precision Differentiation Techniques for Data-Driven Solution of
  Nonlinear PDEs by Physics-Informed Neural Networks

High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks

2 October 2022
M. Mukhametzhanov
ArXivPDFHTML

Papers citing "High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks"

1 / 1 papers shown
Title
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sizhuang He
Hanwen Wang
P. Perdikaris
131
439
0
18 Dec 2020
1