Applying deep reinforcement learning to active flow control in weakly turbulent conditions

Machine learning strategies applied to the control of a fluidic pinball

(2020) C. Raibaudo et al.   PHYSICS OF FLUIDS

Active flow control using machine learning: A brief review

(2020) Feng Ren et al.   Journal of Hydrodynamics

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

(2020) Jean Rabault et al.   Journal of Hydrodynamics

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

(2020) Hongwei Tang et al.   PHYSICS OF FLUIDS

Artificial intelligence control of a turbulent jet

(2020) Yu Zhou et al.   JOURNAL OF FLUID MECHANICS

Controlling Rayleigh–Bénard convection via reinforcement learning

(2020) Gerben Beintema et al.   JOURNAL OF TURBULENCE

Reinforcement learning for bluff body active flow control in experiments and simulations

(2020) Dixia Fan et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

(2019) Jean Rabault et al.   JOURNAL OF FLUID MECHANICS

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Active control of vortex-induced vibration of a circular cylinder using machine learning

(2019) Feng Ren et al.   PHYSICS OF FLUIDS

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

(2019) Jean Rabault et al.   PHYSICS OF FLUIDS

Control of chaotic systems by deep reinforcement learning

(2019) M. A. Bucci et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film

(2019) Vincent Belus et al.   AIP Advances

Low-order model for successive bifurcations of the fluidic pinball

(2019) Nan Deng et al.   JOURNAL OF FLUID MECHANICS

Lattice Boltzmann simulations of turbulent channel flow and heat transport by incorporating the Vreman model

(2018) Feng Ren et al.   APPLIED THERMAL ENGINEERING

A GPU-accelerated solver for turbulent flow and scalar transport based on the Lattice Boltzmann method

(2018) Feng Ren et al.   COMPUTERS & FLUIDS

Efficient collective swimming by harnessing vortices through deep reinforcement learning

(2018) Siddhartha Verma et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Learning to soar in turbulent environments

(2016) Gautam Reddy et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Closed-loop separation control using machine learning

(2015) N. Gautier et al.   JOURNAL OF FLUID MECHANICS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Momentum-exchange method in lattice Boltzmann simulations of particle-fluid interactions

(2013) Yu Chen et al.   PHYSICAL REVIEW E

Feedback shear layer control for bluff body drag reduction

(2008) MARK PASTOOR et al.   JOURNAL OF FLUID MECHANICS