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Physics-Informed Neural Networks with Adaptive Localized Artificial
  Viscosity

Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity

15 March 2022
E. Coutinho
M. DallÁqua
L. McClenny
M. Zhong
U. Braga-Neto
Eduardo Gildin
ArXivPDFHTML

Papers citing "Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity"

5 / 5 papers shown
Title
Physics-informed attention-based neural network for solving non-linear
  partial differential equations
Physics-informed attention-based neural network for solving non-linear partial differential equations
R. Torrado
Pablo Ruiz
L. Cueto‐Felgueroso
M. Green
Tyler Friesen
S. Matringe
Julian Togelius
PINN
38
12
0
17 May 2021
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
L. McClenny
U. Braga-Neto
PINN
65
452
0
07 Sep 2020
When and why PINNs fail to train: A neural tangent kernel perspective
When and why PINNs fail to train: A neural tangent kernel perspective
Sizhuang He
Xinling Yu
P. Perdikaris
101
896
0
28 Jul 2020
A Dual-Dimer Method for Training Physics-Constrained Neural Networks
  with Minimax Architecture
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture
Dehao Liu
Yan Wang
93
73
0
01 May 2020
Physics Informed Deep Learning for Transport in Porous Media. Buckley
  Leverett Problem
Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
Cedric G. Fraces
Adrien Papaioannou
H. Tchelepi
AI4CE
PINN
42
19
0
15 Jan 2020
1