دنبال کردن
Jean Rabault
Jean Rabault
رابطه نامشخص
ایمیل تأیید شده در met.no
عنوان
نقل شده توسط
نقل شده توسط
سال
Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control
J Rabault, M Kuchta, A Jensen, U Reglade, N Cerardi
Journal of Fluid Mechanics, 2019
5042019
A review on Deep Reinforcement Learning for Fluid Mechanics
P Garnier, J Viquerat, J Rabault, A Larcher, A Kuhnle, E Hachem
Computers and Fluids, 2021
2772021
Direct shape optimization through deep reinforcement learning
J Viquerat, J Rabault, A Kuhnle, H Ghraieb, A Larcher, E Hachem
Journal of Computational Physics 428, 110080, 2021
2082021
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
H Tang, J Rabault, A Kuhnle, Y Wang, T Wang
Physics of Fluids, 2020
2082020
Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
J Rabault, A Kuhnle
Physics of Fluids 31 (9), 2019
1912019
Applying deep reinforcement learning to active flow control in weakly turbulent conditions
F Ren, J Rabault, H Tang
Physics of Fluids 33 (3), 2021
1622021
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, 2020
1552020
Performing particle image velocimetry using artificial neural networks: a proof-of-concept
J Rabault, J Kolaas, A Jensen
Measurement Science and Technology 28 (12), 125301, 2017
1342017
Recent advances in applying deep reinforcement learning for flow control: perspectives and future directions
C Vignon, J Rabault, R Vinuesa
Physics of Fluids 35 (3), 2023
1212023
Observations of wave dispersion and attenuation in landfast ice
G Sutherland, J Rabault
Journal of Geophysical Research: Oceans, 2016
882016
Deep reinforcement learning for turbulent drag reduction in channel flows
L Guastoni, J Rabault, P Schlatter, H Azizpour, R Vinuesa
The European Physical Journal E 46 (4), 27, 2023
802023
Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning
H Xu, W Zhang, J Deng, J Rabault
Journal of Hydrodynamics, 2020
742020
Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements
J Rabault, G Sutherland, A Jensen, KH Christensen, A Marchenko
Journal of Fluid Mechanics 864, 876-898, 2019
722019
Flow control in wings and discovery of novel approaches via deep reinforcement learning
R Vinuesa, O Lehmkuhl, A Lozano-Durán, J Rabault
Fluids 7 (2), 62, 2022
712022
Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film
V Belus, J Rabault, J Viquerat, Z Che, E Hachem, U Reglade
AIP Advances 9 (12), 2019
702019
DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM
Q Wang, L Yan, G Hu, C Li, Y Xiao, H Xiong, J Rabault, BR Noack
Physics of Fluids 34 (8), 2022
692022
A two layer model for wave dissipation in sea ice
G Sutherland, J Rabault, K Christensen, A Jensen
Applied Ocean Research, 2019
652019
Comparative analysis of machine learning methods for active flow control
F Pino, L Schena, J Rabault, MA Mendez
Journal of Fluid Mechanics 958, A39, 2023
582023
An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions
J Rabault, G Sutherland, O Gundersen, A Jensen, A Marchenko, Ø Breivik
Cold Regions Science and Technology 170, 102955, 2020
56*2020
Curving to fly: Synthetic adaptation unveils optimal flight performance of whirling fruits
J Rabault, RA Fauli, A Carlson
Physical Review Letters 122 (2), 024501, 2019
532019
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20