Theo dõi
J Rabault
J Rabault
Mục liên kết không xác định
Email được xác minh tại met.no
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
3762019
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
1912021
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
1642020
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
1552021
Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
J Rabault, A Kuhnle
Physics of Fluids 31 (9), 2019
1482019
Applying deep reinforcement learning to active flow control in weakly turbulent conditions
F Ren, J Rabault, H Tang
Physics of Fluids 33 (3), 2021
1212021
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
1062017
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
1002020
Observations of wave dispersion and attenuation in landfast ice
G Sutherland, J Rabault
Journal of Geophysical Research: Oceans, 2016
792016
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
622019
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
622019
A two layer model for wave dissipation in sea ice
G Sutherland, J Rabault, K Christensen, A Jensen
Applied Ocean Research, 2019
602019
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
582020
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
502023
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
50*2020
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
472022
A study using PIV of the intake flow in a diesel engine cylinder
J Rabault, JA Vernet, B Lindgren, PH Alfredsson
International Journal of Heat and Fluid Flow, 2016
462016
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
442019
Measurements of wave damping by a grease ice slick in Svalbard using off-the-shelf sensors and open source electronics
J Rabault, G Sutherland, O Gundersen, A Jensen
Journal of Glaciology, 2017
432017
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
412023
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