Comparative analysis of machine learning methods for active flow control

23 February 2022

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

7 / 7 papers shown

Title
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 25 3 0 31 Jul 2024
Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics Wang Jia Hang Xu AI4CE 28 4 0 18 Feb 2024
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 16 24 0 05 Jul 2023
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning Haodong Feng Yue Wang Hui Xiang Zhiyang Jin Dixia Fan AI4CE 10 8 0 23 Apr 2023
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need Colin Vignon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila M. Mortensen Ricardo Vinuesa AI4CE 16 38 0 05 Apr 2023
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies Justin A. Sirignano J. MacArt AI4CE PINN 18 19 0 06 Aug 2022
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 11 253 0 12 Aug 2019