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opPINN: Physics-Informed Neural Network with operator learning to
  approximate solutions to the Fokker-Planck-Landau equation

opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation

5 July 2022
Jae Yong Lee
J. Jang
H. Hwang
ArXivPDFHTML

Papers citing "opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation"

3 / 3 papers shown
Title
FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation
Jae Yong Lee
Gwang Jae Jung
Byung Chan Lim
Hyung Ju Hwang
52
0
0
29 Apr 2025
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
223
2,287
0
18 Oct 2020
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the
  Neural Network Approach
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach
H. Hwang
Jin Woo Jang
Hyeontae Jo
Jae Yong Lee
149
36
0
22 Nov 2019
1