J. Rabault

发表

An application of data driven reward of deep reinforcement learning by dynamic mode decomposition in active flow control

Shengchao Qin, Shuyue Wang, J. Rabault, 2021, 2106.06176.

Direct shape optimization through deep reinforcement learning

J. Rabault, H. Ghraieb, J. Viquerat, 2019, J. Comput. Phys..

OF F LOW C ONTROL THROUGH A MULTI-ENVIRONMENT APPROACH

J. Rabault, 2019 .

Performing particle image velocimetry using artificial neural networks: a proof-of-concept

J. Rabault, J. Kolaas, A. Jensen, 2017 .

A review on Deep Reinforcement Learning for Fluid Mechanics pdf

Alexander Kuhnle, Jean Rabault, Elie Hachem, 2019, Computers & Fluids.

Grid turbulence measurements with an acoustic Doppler current profiler

J. Rabault, D. Lande-Sudall, A. Jensen, 2021, 2111.10273.

Measurements of wave damping by a grease ice slick in Svalbard using off-the-shelf sensors and open-source electronics

J. Rabault, A. Jensen, G. Sutherland, 2017, Journal of Glaciology.

Wave dispersion and dissipation in landfast ice: comparison of observations against models

T. Waseda, J. Rabault, A. Babanin, 2021, The Cryosphere.

Wave-ice interaction in the North-West Barents Sea

P. Wadhams, J. Rabault, C. Collins, 2019, Applied Ocean Research.

Wave measurements from ship mounted sensors in the Arctic marginal ice zone

J. Rabault, D. Mathematics, A. Jensen, 2019, Cold Regions Science and Technology.

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

T. Waseda, J. Rabault, A. Babanin, 2022, Geosciences.

An investigation into the interaction between waves and ice

J. Rabault, 2018, 1810.07022.

Direct shape optimization through deep reinforcement learning pdf

Alexander Kuhnle, Jean Rabault, Elie Hachem, 2019, Journal of Computational Physics.

DRLinFluids---An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM

B. R. Noack, J. Rabault, Chao Li, 2022, Physics of Fluids.

A Method to Estimate Reflection and Directional Spread Using Rotary Spectra from Accelerometers on Large Ice Floes

J. Rabault, A. Jensen, G. Sutherland, 2017 .

Observations of wave dispersion and attenuation in landfast ice

J. Rabault, G. Sutherland, 2016 .

Effect of wing fold angles on the terminal descent velocity of double-winged autorotating seeds, fruits, and other diaspores.

J. Rabault, A. Carlson, Richard A. Fauli, 2018, Physical review. E.

Curving to Fly: Synthetic Adaptation Unveils Optimal Flight Performance of Whirling Fruits.

J. Rabault, A. Carlson, Richard A. Fauli, 2019, Physical review letters.

Laboratory Investigations of the Bending Rheology of Floating Saline Ice and Physical Mechanisms of Wave Damping in the HSVA Hamburg Ship Model Basin Ice Tank

J. Rabault, A. Jensen, K. Evers, 2021, Water.

A dataset of direct observations of sea ice drift and waves in ice

M. Biuw, Y. Kristoffersen, T. Waseda, 2022, Scientific data.

PIV investigation of the intake flow in a parallel valves diesel engine cylinder

J. Rabault, P. Alfredsson, B. Lindgren, 2015 .

Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

J. Rabault, R. Vinuesa, O. Lehmkuhl, 2022, Fluids.

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

Hui Xu, Wei Zhang, Jean Rabault, 2020, Journal of Hydrodynamics.

Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film

Jean Rabault, Elie Hachem, Jonathan Viquerat, 2019 .

Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film.

Jean Rabault, Elie Hachem, Jonathan Viquerat, 2019, 1910.07788.

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Jean Rabault, Atle Jensen, Ulysse Reglade, 2018, Journal of Fluid Mechanics.

Recent advances in applying deep reinforcement learning for flow control: perspectives and future directions

J. Rabault, R. Vinuesa, Colin Vignon, 2023, Physics of Fluids.

Comparative analysis of machine learning methods for active flow control

M. A. Mendez, J. Rabault, F. Pino, 2022, Journal of Fluid Mechanics.

Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need

J. Rabault, R. Vinuesa, M. Mortensen, 2023, ArXiv.

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

J. Rabault, R. Vinuesa, O. Lehmkuhl, 2022, Actuators.

An application of data driven reward of deep reinforcement learning by dynamic mode decomposition in active flow control

Shengchao Qin, Shuyue Wang, J. Rabault, 2021, 2106.06176.

Direct shape optimization through deep reinforcement learning

Alexander Kuhnle, Jean Rabault, Elie Hachem, 2019, J. Comput. Phys..

Applying deep reinforcement learning to active flow control in turbulent conditions

Hui Tang, J. Rabault, Feng Ren, 2020, 2006.10683.

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

J. Rabault, Tongguang Wang, A. Kuhnle, 2020, 2004.12417.

Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning

Wei Zhang, Hui Xu, Jean Rabault, 2020, Journal of Hydrodynamics.

Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach

Alexander Kuhnle, Jean Rabault, J. Rabault, 2019, Physics of Fluids.

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

J. Rabault, Hui Xu, Feng Ren, 2020, Journal of Hydrodynamics.

A study using PIV of the intake flow in a diesel engine cylinder

Jean Rabault, P. Henrik Alfredsson, Julie A. Vernet, 2016 .

Deep reinforcement learning for turbulent drag reduction in channel flows

J. Rabault, R. Vinuesa, P. Schlatter, 2023, The European Physical Journal E.

Laboratory investigations of the bending rheology of floating saline ice, and physical mechanisms of wave damping, in the HSVA ice tank

J. Rabault, A. Jensen, K. Evers, 2019, 1901.05333.

Experiments on wave propagation in grease ice: combined wave gauges and particle image velocimetry measurements

J. Rabault, A. Jensen, G. Sutherland, 2018, Journal of Fluid Mechanics.

A two layer model for wave dissipation in sea ice

J. Rabault, A. Jensen, G. Sutherland, 2018, Applied Ocean Research.

A new look at wave dissipation in the marginal ice zone

J. Rabault, A. Jensen, G. Sutherland, 2018 .

E XPERIMENTS ON WAVE PROPAGATION IN GREASE ICE : COMBINED WAVE GAUGES AND PIV MEASUREMENTS

J. Rabault, 2018 .

A field investigation of the friction between cross-country skis and snow

J. Rabault, A. Jensen, O. Gundersen, 2022, 2212.08524.

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

T. Waseda, J. Rabault, J. Voermans, 2023, 2302.02820.

Estimating sea ice properties from wave observations in sea ice

T. Waseda, J. Rabault, A. Babanin, 2023, 2305.06490.

Experimental evidence for a universal threshold characterizing wave-induced sea ice break-up

J. Rabault, A. Babanin, P. Heil, 2020, The Cryosphere.

Turbulent kinetic energy dissipation from colliding ice floes

J. Rabault, A. Jensen, A. Marchenko, 2021, 2107.03734.

The attenuation of monochromatic surface waves due to the presence of an inextensible cover

J. Rabault, A. Jensen, G. Sutherland, 2017 .

Elasticity and viscosity of ice measured in the experiment on wave propagation below the ice in HSVA ice tank

J. Rabault, A. Jensen, K. Evers, 2020 .

An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions

J. Rabault, A. Jensen, Ø. Breivik, 2019 .

An Open Source, Versatile, Affordable Waves in Ice Instrument for Remote Sensing in the Polar Regions

J. Rabault, A. Jensen, G. Sutherland, 2019, 1901.02410.

Measurements of Waves in Landfast Ice Using Inertial Motion Units

Brian Ward, Jean Rabault, Graig Sutherland, 2016, IEEE Transactions on Geoscience and Remote Sensing.

The dynamics of a capsule in a wall-bounded oscillating shear flow

J. Rabault, L. Brandt, Lailai Zhu, 2015, 1507.05221.

Development of MEMS IMU based and solar powered wave buoy FZ

T. Waseda, J. Rabault, J. Voermans, 2022, OCEANS 2022, Hampton Roads.

Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems

J. Rabault, M. Dabboor, Ø. Breivik, 2022, The Cryosphere.

Determining an optimal transport velocity in the marginal ice zone using operational ice-ocean prediction systems

J. Rabault, M. Dabboor, Ø. Breivik, 2021 .

A review on deep reinforcement learning for fluid mechanics: An update

J. Rabault, J. Viquerat, A. Larcher, 2021, Physics of Fluids.

Applying deep reinforcement learning to active flow control in weakly turbulent conditions

Hui Tang, J. Rabault, Feng Ren, 2020, Physics of Fluids.

Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing

B. R. Noack, J. Rabault, Qiulei Wang, 2023, ArXiv.

Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need

J. Rabault, R. Vinuesa, M. Mortensen, 2023, Physics of Fluids.

Comparative analysis of machine learning methods for active flow control

M. A. Mendez, J. Rabault, F. Pino, 2022, Journal of Fluid Mechanics.

An affordable and customizable wave buoy for the study of wave-ice interactions: design concept and results from field deployments

T. Waseda, J. Rabault, M. Itoh, 2023, Coastal Engineering Journal.

Bias correction of operational storm surge forecasts using neural networks

J. Rabault, C. Mauritzen, M. L. Sætra, 2023, Ocean Modelling.

Applying deep reinforcement learning to active flow control in weakly turbulent conditions

Hui Tang, J. Rabault, Feng Ren, 2020, Physics of Fluids.

NORA-Surge: A high resolution storm surge hindcast for the Norwegian Sea, the North Sea and the Barents Sea

J. Rabault, O. Aarnes, O. Saetra, 2023, 2312.11585.

An investigation into the turbulence induced by moving ice floes

J. Rabault, A. Marchenko, T. Løken, 2021, 2104.02378.

Development of open source instruments for in-situ measurements of waves in ice

J. Rabault, A. Babanin, A. Jensen, 2020, 2003.02540.

In-situ observations of strong waves in ice amplitude modulation with a 12-hour period: a likely signature of complex physics governing waves in ice attenuation?

T. Waseda, J. Rabault, L. Aouf, 2024, 2401.07619.

Field observations and preliminary investigations of a wave event in solid drift ice in the barents sea

P. Wadhams, J. Rabault, G. Sutherland, 2017 .

Direct in-situ observations of wave-induced floe collisions in the deeper Marginal Ice Zone

J. Rabault, O. Breivik, G. Hope, 2024, 2404.02750.

Observation of wave propagation over 1,000 km into Antarctica winter pack ice

S. Ushio, T. Waseda, J. Rabault, 2023, Coastal Engineering Journal.