ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.11664
  4. Cited By
Comparative analysis of machine learning methods for active flow control
v1v2v3 (latest)

Comparative analysis of machine learning methods for active flow control

Journal of Fluid Mechanics (JFM), 2022
23 February 2022
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
ArXiv (abs)PDFHTML

Papers citing "Comparative analysis of machine learning methods for active flow control"

7 / 7 papers shown
Multi-agent reinforcement learning for the control of three-dimensional
  Rayleigh-Bénard convection
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
Mirko Conrad
Jean Rabault
Francisco Alcántara-Ávila
Mikael Mortensen
Ricardo Vinuesa
AI4CE
240
10
0
31 Jul 2024
Optimal Parallelization Strategies for Active Flow Control in Deep
  Reinforcement Learning-Based Computational Fluid Dynamics
Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics
Wang Jia
Hang Xu
AI4CE
262
8
0
18 Feb 2024
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of
  Circular Cylinder with Sparse Surface Pressure Sensing
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure SensingJournal of Fluid Mechanics (JFM), 2023
Qiulei Wang
Lei Yan
Gang Hu
Wenli Chen
Jean Rabault
B. R. Noack
AI4CE
239
45
0
05 Jul 2023
How to Control Hydrodynamic Force on Fluidic Pinball via Deep
  Reinforcement Learning
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement LearningThe Physics of Fluids (Phys. Fluids), 2023
Haodong Feng
Yue Wang
Hui Xiang
Zhiyang Jin
Dixia Fan
AI4CE
159
12
0
23 Apr 2023
Effective control of two-dimensional Rayleigh--Bénard convection:
  invariant multi-agent reinforcement learning is all you need
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needThe Physics of Fluids (Phys. Fluids), 2023
Colin Vignon
Jean Rabault
Joel Vasanth
Francisco Alcántara-Ávila
M. Mortensen
Ricardo Vinuesa
AI4CE
241
55
0
05 Apr 2023
Deep Learning Closure Models for Large-Eddy Simulation of Flows around
  Bluff Bodies
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff BodiesJournal of Fluid Mechanics (JFM), 2022
Justin A. Sirignano
J. MacArt
AI4CEPINN
174
36
0
06 Aug 2022
A review on Deep Reinforcement Learning for Fluid Mechanics
A review on Deep Reinforcement Learning for Fluid MechanicsComputers & Fluids (Comput. Fluids), 2019
Paul Garnier
J. Viquerat
Jean Rabault
A. Larcher
A. Kuhnle
E. Hachem
AI4CE
269
290
0
12 Aug 2019
1