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physics.flu-dyn2026
Quantum reinforcement learning-based active flow control
Hongfu Zhang, Hui Tang
Active flow control remains a significant challenge due to the high-dimensional, nonlinear nature of fluid dynamics. Quantum machine learning may prove effective in addressing thes…
physics.flu-dyn2020
Applying deep reinforcement learning to active flow control in turbulent conditions
Feng Ren, Jean Rabault, Hui Tang
Machine learning has recently become a promising technique in fluid mechanics, especially for active flow control (AFC) applications. A recent work [J. Fluid Mech. (2019), vol. 865…