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Machine Learning-Based Optimal Mesh Generation in Computational Fluid
  Dynamics

Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics

25 February 2021
Keefe Huang
M. Krügener
Alistair Brown
F. Menhorn
H. Bungartz
D. Hartmann
    AI4CE
ArXivPDFHTML

Papers citing "Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics"

13 / 13 papers shown
Title
Towards Universal Mesh Movement Networks
Towards Universal Mesh Movement Networks
Mingrui Zhang
Chunyang Wang
Stephan Kramer
Joseph G. Wallwork
Siyi Li
Jiancheng Liu
Xiang Chen
M. Piggott
AI4CE
40
1
0
29 Jun 2024
Iterative Sizing Field Prediction for Adaptive Mesh Generation From
  Expert Demonstrations
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
43
1
0
20 Jun 2024
3DMeshNet: A Three-Dimensional Differential Neural Network for
  Structured Mesh Generation
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation
Jiaming Peng
Xinhai Chen
Jie Liu
AI4CE
50
1
0
07 May 2024
Machine Learning Optimized Approach for Parameter Selection in MESHFREE
  Simulations
Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations
Paulami Banerjee
Mohan Padmanabha
Chaitanya Sanghavi
Isabel Michel
Simone Gramsch
AI4CE
48
1
0
20 Mar 2024
Improving Pseudo-Time Stepping Convergence for CFD Simulations With
  Neural Networks
Improving Pseudo-Time Stepping Convergence for CFD Simulations With Neural Networks
Anouk Zandbergen
T. Noorden
Alexander Heinlein
21
1
0
10 Oct 2023
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural
  Networks
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks
A. Nobari
J. Rey
S. Kodali
Matthew Jones
Faez Ahmed
AI4CE
13
1
0
14 Aug 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
21
13
0
03 Apr 2023
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in
  Computational Fluid Dynamics
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics
Cooper Lorsung
A. Farimani
AI4CE
23
0
0
02 Dec 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
48
0
14 Nov 2022
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
25
11
0
13 Jul 2022
M2N: Mesh Movement Networks for PDE Solvers
M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song
Mingrui Zhang
Joseph G. Wallwork
Jun-ming Gao
Zheng Tian
...
M. Piggott
Junqing Chen
Zuoqiang Shi
Xiang Chen
Jun Wang
AI4CE
27
18
0
24 Apr 2022
Predicting Mechanically Driven Full-Field Quantities of Interest with
  Deep Learning-Based Metamodels
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
25
28
0
24 Jul 2021
1