ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.01765
  4. Cited By
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
ArXiv (abs)PDFHTML

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
78
0
0
29 Apr 2025
Error analysis for finite element operator learning methods for solving
  parametric second-order elliptic PDEs
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs
Youngjoon Hong
Seungchan Ko
Jae Yong Lee
67
1
0
27 Apr 2024
Separable Physics-informed Neural Networks for Solving the BGK Model of
  the Boltzmann Equation
Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation
Jaemin Oh
Seung-Yeon Cho
Seok-Bae Yun
Eunbyung Park
Youngjoon Hong
AI4CE
150
6
0
10 Mar 2024
1