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Spatio-temporal proper orthogonal decomposition of turbulent channel flow

Srikanth Derebail Muralidhar , Bã©rengã¨re Podvin , Lionel Mathelin , Yann Fraigneau
Journal of Fluid Mechanics, 2019, 864, pp.614-639. ⟨10.1017/jfm.2019.48⟩
Journal articles hal-02170063v1

Observable Dictionary Learning for High-Dimensional Statistical Inference

Lionel Mathelin , Kévin Kasper , Hisham Abou-Kandil
Archives of Computational Methods in Engineering, 2018, 25 (1), pp.103 - 120. ⟨10.1007/s11831-017-9219-2⟩
Journal articles hal-01726821v1
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Stochastic data assimilation of the random shallow water model loads with uncertain experimental measurements

L. Mathelin , Christophe Desceliers , M.Yussuf Hussaini
Computational Mechanics, 2011, 47 (6), pp.603-616
Journal articles hal-00750190v1

Global optimization with Gaussian process and application to drag reduction with vortex generators

Thomas Rouillon , Fabien Harambat , Christian Tenaud , Lionel Mathelin
World Congress on Global Optimization in Engineering & Science, Jan 2011, Chania, Greece
Conference papers hal-01629397v1
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A statistical learning strategy for closed-loop control of fluid flows

Florimond Guéniat , Lionel Mathelin , M.Yussuf Hussaini
2016
Preprints, Working Papers, ... hal-01271248v1
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Control of chaotic systems by deep reinforcement learning

Michele Alessandro Bucci , Onofrio Semeraro , Alexandre Allauzen , Guillaume Wisniewski , Laurent Cordier et al.
Proceedings of the Royal Society of London. Series A, Mathematical and physical sciences, In press, 475 (2231), pp.1-20. ⟨10.1098/rspa.2019.0351⟩
Journal articles hal-02406677v1
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Shallow neural networks for fluid flow reconstruction with limited sensors

N. Benjamin Erichson , Lionel Mathelin , Zhewei Yao , Steven Brunton , Michael Mahoney et al.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 476 (2238), pp.20200097. ⟨10.1098/rspa.2020.0097⟩
Journal articles hal-03059296v1

Unsupervised identification of motifs in turbulent channel flow using Latent Dirichlet Allocation

Mohamed Frihat , Némo Malhomme , Bérengère Podvin , Lionel Mathelin , Yann Fraigneau et al.
Euromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France
Conference papers hal-03451341v1

Vortex-induced vibrations and waves under shear flow with a wake oscillator model

L. Mathelin , Emmanuel de Langre
European Journal of Mechanics - B/Fluids, 2005, 24 (4), pp.478-490. ⟨10.1016/j.euromechflu.2004.12.005⟩
Journal articles istex hal-01024949v1

CD-ROM: Complementary Deep-Reduced Order Model

Emmanuel Menier , Michele Alessandro Bucci , Mouadh Yagoubi , Lionel Mathelin , Marc Schoenauer et al.
2022
Preprints, Working Papers, ... hal-03846122v1
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Continuous Methods : Hamiltonian Domain Translation

Emmanuel Menier , Michele Alessandro Bucci , Mouadh Yagoubi , Lionel Mathelin , Marc Schoenauer et al.
2022
Preprints, Working Papers, ... hal-03716629v1

Randomized Dynamic Mode Decomposition

N. Benjamin Erichson , Lionel Mathelin , J. Nathan Kutz , Steven L. Brunton
SIAM Journal on Applied Dynamical Systems, 2019, 18 (4), pp.1867-1891. ⟨10.1137/18M1215013⟩
Journal articles hal-02404577v1

A Machine learning approach for constrained sensor placement

Kévin Kasper , Lionel Mathelin , Hisham Abou-Kandil
American Control Conference (ACC 2015), Jul 2015, Chicago, United States
Conference papers hal-01726903v1

A parsimonious strategy for field estimation from wall-mounted sensors

Lionel Mathelin , Kévin Kasper , Hisham Abou-Kandil
SIAM Conference on Computation Science & Engineering, Mar 2015, Salt Lake City, United States
Conference papers hal-01726891v1

Nonlinear optimal control using deep reinforcement learning

Michele Alessandro Bucci , Onofrio Semeraro , Lionel Mathelin , Laurent Cordier , Alexandre Allauzen et al.
IUTAM Symposium on Laminar-Turbulent Transition, Sep 2019, London, United Kingdom
Conference papers hal-02411768v1

Control-oriented model learning with a recurrent neural network

Michele Alessandro Bucci , Onofrio Semeraro , Alexandre Allauzen , Laurent Cordier , Guillaume Wisniewski et al.
71st Annual APS/DFD Meeting, Nov 2018, Atlanta, United States
Conference papers hal-02411907v1

Control by Deep Reinforcement Learning of a separated flow

Thibaut Guégan , Onofrio Semeraro , Michele A. Bucci , Laurent Cordier , Lionel Mathelin et al.
73rd Annual Meeting of the APS Division of Fluid Dynamics, Nov 2020, Chicago, United States
Conference papers hal-03088845v1

A continuous reinforcement learning strategy for closed-loop control in fluid dynamics

C. Pivot , Laurent Cordier , Lionel Mathelin , F. Guã©niat , Bernd R. Noack et al.
Applied Aerodynamics Conference, Jun 2018, Denver, United States
Conference papers hal-01856254v1

Control of a chaotic dynamical system with a Deep Reinforcement Learning approach

Michele Alessandro Bucci , Onofrio Semeraro , Alexandre Allauzen , Laurent Cordier , Guillaume Wisniewski et al.
90th GAMM Annual Meeting, Feb 2019, Vienna, Austria
Conference papers hal-02411514v1

Control of chaotic systems by Deep Reinforcement Learning

Michele Alessandro Bucci , Onofrio Semeraro , Alexandre Allauzen , Guillaume Wisniewski , Laurent Cordier et al.
2019
Preprints, Working Papers, ... hal-02411475v1

A Particle Method for Stochastic Convection Diffusion Equations

O. Le Maitre , S. Huberson , L. Mathelin
Eccomas 2008, Venice, 30 june-4 july 2008., 2008, Venise, Italy
Conference papers hal-00406120v1
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Apprentissage de graphe pour la reconstruction de l'environnement vibratoire

Stéphane Février , Stéphane Nachar , Lionel Mathelin , Frédéric Giordano , Bérengère Podvin et al.
15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France
Conference papers hal-03717557v1

Flow reconstruction using manifold learning and structure-preserving metrics

Lionel Mathelin , Alex Gorodetsky , Bérengère Podvin
SIAM Conference on Computational Science and Engineering (CSE21), Mar 2021, Virtual conference, France
Conference papers hal-03451326v1
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Continuous Methods : Adaptively intrusive reduced order model closure

Emmanuel Menier , Michele Alessandro Bucci , Mouadh Yagoubi , Lionel Mathelin , Thibault Dairay et al.
2022
Preprints, Working Papers, ... hal-03879332v1

Apprentissage d’un modèle dynamique chaotique par un LSTM

Michele Alessandro Bucci , Alexandre Allauzen , Laurent Cordier , Lionel Mathelin , Onofrio Semeraro et al.
Conférence sur l’Apprentissage automatique (CAp), Jul 2019, Toulouse, France
Conference papers hal-02412444v1

Modélisation par termes source de générateurs de vortex pour le contrôle d'écoulement : validations expérimentales et optimisations

Thomas Rouillon , Fabien Harambat , Christian Tenaud , Lionel Mathelin , A. Queuille et al.
Congrès Français de Mécanique, Jan 2011, Besançon, France
Conference papers hal-01629399v1

Global optimization of vortex generator parameters for drag reduction of ground vehicles

Thomas Rouillon , Fabien Harambat , Lionel Mathelin , Christian Tenaud
CFD & OPTIMIZATION, An ECCOMAS Thematic Conference, Jan 2011, Antalaya, Turkey
Conference papers hal-01629396v1

Closed-loop optimal control for shear flows using reinforcement learning

Onofrio Semeraro , Michele Alessandro Bucci , Lionel Mathelin
73rd Annual APS/DFD Meeting, Nov 2020, Chicago, United States
Conference papers hal-03101416v1

When deep learning meets ergodic theory

Michele Alessandro Bucci , Onofrio Semeraro , Sergio Chibbaro , Alexandre Allauzen , Lionel Mathelin et al.
73rd Annual APS/DFD Meeting, Nov 2020, Chicago / Virtual, United States
Conference papers hal-03101431v1

Coherent structure identification in turbulent channel flow using latent Dirichlet allocation

Mohamed Frihat , Bérengère Podvin , Lionel Mathelin , Yann Fraigneau , François Yvon et al.
Journal of Fluid Mechanics, 2021, 920, ⟨10.1017/jfm.2021.444⟩
Journal articles hal-03258870v1