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Learning solutions of parametric Navier-Stokes with physics-informed
  neural networks

Learning solutions of parametric Navier-Stokes with physics-informed neural networks

5 February 2024
M. Naderibeni
Marcel J. T. Reinders
L. Wu
David Tax
    PINN
ArXivPDFHTML

Papers citing "Learning solutions of parametric Navier-Stokes with physics-informed neural networks"

3 / 3 papers shown
Title
Efficient training of physics-informed neural networks via importance
  sampling
Efficient training of physics-informed neural networks via importance sampling
M. A. Nabian
R. J. Gladstone
Hadi Meidani
DiffM
PINN
69
220
0
26 Apr 2021
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
Sifan Wang
Hanwen Wang
P. Perdikaris
131
437
0
18 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
1