Jean Rabault

1. Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
   2019/02/20 by Jean Rabault, Miroslav Kuchta, Atle Jensen +2 · 62 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis
2. Direct shape optimization through deep reinforcement learning
   2019/08/23 by Jonathan Viquerat, Jean Rabault, Viquerat, Jonathan +9 · 18 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Advanced Multi-Objective Optimization Algorithms #Topology Optimization in Engineering
3. Dynamic feature-based deep reinforcement learning for flow control of circular cylinder with sparse surface pressure sensing
   2024/05/28 by Qiulei Wang, Lei Yan, Gang Hu +4 · 6 citations
   Engineering · Physics and Astronomy · #Fluid Dynamics and Vibration Analysis #Vibration and Dynamic Analysis #Model Reduction and Neural Networks
4. OpenMetBuoy-V2021: an easy-to-build, affordable, customizable, open source instrument for oceanographic measurements of drift and waves in sea ice and the open ocean
   2022/01/19 by Jean Rabault, Rabault, Jean, Takehiko Nose +37 · 2 citations
   Earth and Planetary Sciences · #Arctic and Antarctic ice dynamics #FOS: Physical sciences #Instrumentation and Detectors (physics.ins-det) #Meteorological Phenomena and Simulations #Oceanographic and Atmospheric Processes
5. Deep-reinforcement-learning-based separation control in a two-dimensional airfoil
   2025/02/24 by Xavier Garcia, Arnau Miró, Garcia, Xavier +13 · 4 citations
   Engineering · Physics and Astronomy · #Plasma and Flow Control in Aerodynamics #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks
6. Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes
   2022/11/04 by Pau Varela, Varela, Pau, Pol Suárez +15 · 2 citations
   Engineering · Physics and Astronomy · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks
7. Bias Correction of Operational Storm Surge Forecasts Using Neural Networks
   2023/01/02 by Paulina Tedesco, Tedesco, Paulina, Jean Rabault +13 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #Oceanographic and Atmospheric Processes
8. A comparison of an operational wave-ice model product and drifting wave buoy observation in the central Arctic Ocean: investigating the effect of sea ice forcing in thin ice cover
   2023/02/02 by Takehiko Nose, Jean Rabault, Nose, Takehiko +17 · 1 citation
   Earth and Planetary Sciences · #Arctic and Antarctic ice dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Geophysics (physics.geo-ph) #Ocean Waves and Remote Sensing #Oceanographic and Atmospheric Processes
9. SFY -- A lightweight, high-frequency and phase-resolving wave-buoy for coastal waters
   2024/01/04 by Gaute Hope, Torunn Irene Seldal, Hope, Gaute +19 · 1 citation
   Earth and Planetary Sciences · #86 #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Geophysics (physics.geo-ph) #Ocean Waves and Remote Sensing #Oceanographic and Atmospheric Processes #Tropical and Extratropical Cyclones Research
10. Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
    2024/07/31 by Joel Vasanth, Jean Rabault, Vasanth, Joel +7 · 1 citation
    Engineering · #Fluid Dynamics and Turbulent Flows
11. Observation of wave propagation over 1,000 km into Antarctica winter pack ice
    2023/09/24 by Takehiko Nose, Tomotaka Katsuno, Nose, Takehiko +11 · 1 citation
    Earth and Planetary Sciences · #Arctic and Antarctic ice dynamics #Ocean Waves and Remote Sensing #Tropical and Extratropical Cyclones Research
12. Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at Re_D=3900
    2025/03/05 by Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró +4 · 1 voice · 1 citation
    Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Plasma and Flow Control in Aerodynamics
13. Dataset: Svalbard Marginal Ice Zone Campaign 2024 - a distributed network of temperature, waves in ice, and sea ice drift observations
    2024/07/10 by Malte Müller, Jean Rabault, Müller, Malte +4 · 1 citation
    Earth and Planetary Sciences · Social Sciences · #Arctic and Antarctic ice dynamics #Arctic and Russian Policy Studies #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Geological Studies and Exploration #Geophysics (physics.geo-ph)
14. Flow separation control of an infinite wing section via multi-agent reinforcement learning
    2026/07/27 by Ricard Montalà, Bernat Font, Pol Suárez +4