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REN FENG
Title
Cited by
Cited by
Year
Applying deep reinforcement learning to active flow control in weakly turbulent conditions
F Ren, J Rabault, H Tang
Physics of Fluids 33 (3), 2021
1162021
Improved lattice Boltzmann modeling of binary flow based on the conservative Allen-Cahn equation
F Ren, B Song, MC Sukop, H Hu
Physical Review E 94 (2), 023311, 2016
972016
Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization
J Rabault, F Ren, W Zhang, H Tang, H Xu
Journal of Hydrodynamics 32, 234-246, 2020
932020
Active control of vortex-induced vibration of a circular cylinder using machine learning
F Ren, C Wang, H Tang
Physics of Fluids 31 (9), 2019
932019
Active flow control using machine learning: A brief review
F Ren, H Hu, H Tang
Journal of Hydrodynamics 32, 247-253, 2020
792020
Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth
F Ren, C Wang, H Tang
Physics of Fluids 33 (9), 2021
382021
A comparative analysis of the effective and local slip lengths for liquid flows over a trapped nanobubble
H Hu, D Wang, F Ren, L Bao, NV Priezjev, J Wen
International Journal of Multiphase Flow 104, 166-173, 2018
212018
Terminal shape and velocity of a rising bubble by phase-field-based incompressible Lattice Boltzmann model
F Ren, B Song, MC Sukop
Advances in water resources 97, 100-109, 2016
182016
A GPU-accelerated solver for turbulent flow and scalar transport based on the lattice Boltzmann method
F Ren, B Song, Y Zhang, H Hu
Computers & Fluids 173, 29-36, 2018
162018
Drag reduction on micro-structured hydrophobic surfaces due to surface tension effect
BW Song, F Ren, HB Hu, YH Guo
142014
Lattice Boltzmann simulation of liquid–vapor system by incorporating a surface tension term
BW Song, F Ren, HB Hu, QG Huang
Chinese Physics B 24 (1), 014703, 2015
122015
Machine learning for flow control: Applications and development trends
F Ren, C Gao, H Tang
Acta Aeronautica et Astronautica Sinica 42 (4), 152-166, 2021
102021
On the magnetic nanoparticle injection strategy for hyperthermia treatment
Q Jiang, F Ren, C Wang, Z Wang, G Kefayati, S Kenjeres, K Vafai, Y Liu, ...
International Journal of Mechanical Sciences 235, 107707, 2022
72022
Lattice Boltzmann simulations of turbulent channel flow and heat transport by incorporating the Vreman model
F Ren, B Song, H Hu
Applied Thermal Engineering 129, 463-471, 2018
72018
Reconstructing turbulent velocity information for arbitrarily gappy flow fields using the deep convolutional neural network
F Zhang, H Hu, F Ren, H Zhang, P Du
Physics of Fluids 34 (12), 2022
52022
Enhancing propulsion performance of a flexible heaving foil through dynamically adjusting its flexibility
C Wang, F Ren, H Tang
Bioinspiration & biomimetics 14 (6), 064002, 2019
52019
Applying reinforcement learning to mitigate wake-induced lift fluctuation of a wall-confined circular cylinder in tandem configuration
Z Xie, H Hu, J Chen, J Song, T Lu, F Ren
Physics of Fluids 35 (5), 2023
42023
Artificially intelligent control of drag reduction around acircular cylinder based on wall pressure feedback br
C Jiang-Li, C Shao-Qiang, R Feng, H Hai-Bao
ACTA PHYSICA SINICA 71 (8), 2022
32022
Wake recognition of a blunt body based on convolutional neural network
D Xiangbo, C Shaoqiang, H Jingyao, Z Fan, H Haibao, R Feng
Chinese Journal of Theoretical and Applied Mechanics 54 (1), 59-67, 2022
32022
Liquid Metal Flows in Manifold Microchannel Heat Sinks
H Hu, S Kuravi, F Ren, P Hsu
ASME International Mechanical Engineering Congress and Exposition 46590 …, 2014
32014
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Articles 1–20