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. 2204.11188
  4. Cited By
M2N: Mesh Movement Networks for PDE Solvers

M2N: Mesh Movement Networks for PDE Solvers

24 April 2022
Wenbin Song
Mingrui Zhang
Joseph G. Wallwork
Jun-ming Gao
Zheng Tian
Fanglei Sun
M. Piggott
Junqing Chen
Zuoqiang Shi
Xiang Chen
Jun Wang
    AI4CE
ArXivPDFHTML

Papers citing "M2N: Mesh Movement Networks for PDE Solvers"

4 / 4 papers shown
Title
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Joseph G. Wallwork
Jing Lu
Mingrui Zhang
M. Piggott
19
11
0
22 Jul 2022
Learning robust marking policies for adaptive mesh refinement
Learning robust marking policies for adaptive mesh refinement
A. Gillette
B. Keith
S. Petrides
20
10
0
13 Jul 2022
Machine Learning-Based Optimal Mesh Generation in Computational Fluid
  Dynamics
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
Keefe Huang
M. Krügener
Alistair Brown
F. Menhorn
H. Bungartz
D. Hartmann
AI4CE
20
24
0
25 Feb 2021
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