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. 2212.01428
  4. Cited By
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

2 December 2022
Cooper Lorsung
A. Farimani
    AI4CE
ArXivPDFHTML

Papers citing "MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics"

2 / 2 papers shown
Title
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
25
26
0
25 Feb 2021
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient
  Desalination
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
Yuyang Wang
Zhonglin Cao
Amir Barati Farimani
AI4CE
30
58
0
19 Jan 2021
1