E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation

22 July 2022

Papers citing "E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation"

7 / 7 papers shown

Title
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing Zhichao Wang Xinhai Chen Chunye Gong Bo Yang Liang Deng Yufei Sun Yufei Pang Jie Liu AI4CE 30 0 0 19 Oct 2024
Towards Universal Mesh Movement Networks Mingrui Zhang Chunyang Wang Stephan Kramer Joseph G. Wallwork Siyi Li Jiancheng Liu Xiang Chen M. Piggott AI4CE 25 0 0 29 Jun 2024
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations Niklas Freymuth Philipp Dahlinger Tobias Würth P. Becker Aleksandar Taranovic Onno Grönheim Luise Kärger Gerhard Neumann AI4CE 28 1 0 20 Jun 2024
Proposing an intelligent mesh smoothing method with graph neural networks Zhichao Wang Xinhai Chen Junjun Yan Jie Liu AI4CE 11 1 0 24 Sep 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement Niklas Freymuth Philipp Dahlinger Tobias Würth Simon Reisch Luise Kärger Gerhard Neumann 15 12 0 03 Apr 2023
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang K. Mittal T. Dzanic S. Petrides B. Keith Brenden K. Petersen D. Faissol R. Anderson 14 8 0 02 Nov 2022
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