Discovering novel control strategies for turbulent wings through deep reinforcement learning

Project Information

DEEPCONTROL

Grant agreement ID: 101043998

DOI

10.3030/101043998

EC signature date 31 March 2022

Start date 1 April 2022

End date 31 March 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 999 748,00

EU contribution

€ 1 999 748,00

Coordinated by

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (21)

Direct numerical simulation of a zero-pressure-gradient thermal turbulent boundary layer up to $\textrm{Pr = 6}$

Author(s): Balasubramanian, Arivazhagan G.; Guastoni, Luca; Schlatter, Philipp; Vinuesa, Ricardo
Published in: J. Fluid Mech., 2023, ISSN 0000-0000
Publisher: Cambridge University Press
DOI: 10.48550/arxiv.2301.12915

Scientific Reports

Author(s): Mustafa Z, Yousif; Linqi, Yu; Sergio, Hoyas; Ricardo, Vinuesa; HeeChang, Lim
Published in: Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023), 2023, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.48550/arxiv.2208.05754

The transformative potential of machine learning for experiments in fluid mechanics

Author(s): Ricardo Vinuesa; Steven L. Brunton; Beverley J. McKeon
Published in: Nat. Rev. Phys., 2023, ISSN 2522-5820
Publisher: Springer Nature
DOI: 10.48550/arxiv.2303.15832

Journal of Fluid Mechanics

Author(s): Álvaro Martínez-Sánchez; Esteban López; Soledad Le Clainche; Adrián Lozano-Durán; Ankit Srivastava; Ricardo Vinuesa
Published in: J. Fluid Mech., 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.48550/arxiv.2209.15356

Optimizing flow control with deep reinforcement learning: Plasma actuator placement around a square cylinder

Author(s): Mustafa Z. Yousif; Paraskovia Kolesova; Yifan Yang; Meng Zhang; Linqi Yu; Jean Rabault; Ricardo Vinuesa; Hee-Chang Lim
Published in: Phys. Fluids, 2023, ISSN 1089-7666
Publisher: AIP
DOI: 10.48550/arxiv.2309.09197

beta-Variational autoencoders and transformers for reduced-order modelling of fluid flows

Author(s): Alberto Solera-Rico; Carlos Sanmiguel Vila; Miguel Gómez-López; Yuning Wang; Abdulrahman Almashjary; Scott T. M. Dawson; Ricardo Vinuesa
Published in: Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024), 2023, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-024-45578-4

Perspectives on predicting and controlling turbulent flows through deep learning

Author(s): Ricardo Vinuesa
Published in: Physics of Fluids, 2024, ISSN 1089-7666
Publisher: AIP
DOI: 10.48550/arxiv.2310.04054

Measurement Science and Technology

Author(s): G. Hasanuzzaman, H. Eivazi, S. Merbold, C. Egbers and R. Vinuesa
Published in: Meas. Sci. Technol., 2023, ISSN 0957-0233
Publisher: IOP
DOI: 10.1088/1361-6501/aca9eb

Reynolds-number effects on the outer region of adverse-pressure-gradient turbulent boundary layers

Author(s): Rahul Deshpande; Aron van den Bogaard; Ricardo Vinuesa; Luka Lindić; Ivan Marusic
Published in: Phys. Rev. Fluids, 2023, ISSN 2469-990X
Publisher: APS
DOI: 10.48550/arxiv.2304.08714

Journal of Fluid Mechanics

Author(s): Mustafa Z. Yousif; Meng Zhang; Linqi Yu; Ricardo Vinuesa; HeeChang Lim
Published in: J. Fluid Mech., 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.48550/arxiv.2206.01618

Enhancing computational fluid dynamics with machine learning

Author(s): R. Vinuesa and S. L. Brunton
Published in: Nature Computational Science, 2022, ISSN 2662-8457
Publisher: Springer Nature
DOI: 10.1038/s43588-022-00264-7

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

Author(s): Pau Varela; Pol Suárez; Francisco Alcántara-Ávila; Arnau Miró; Jean Rabault; Bernat Font; Luis Miguel García-Cuevas; Oriol Lehmkuhl; Ricardo Vinuesa
Published in: Actuators, 2022, ISSN 2076-0825
Publisher: MDPI
DOI: 10.13140/rg.2.2.12472.62723

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

Author(s): Colin Vignon; Jean Rabault; Joel Vasanth; Francisco Alcántara-Ávila; Mikael Mortensen; Ricardo Vinuesa
Published in: Phys. Fluids, 2023, ISSN 1089-7666
Publisher: AIP
DOI: 10.13140/rg.2.2.17456.23044

Discovering causal relations and equations from data

Author(s): G. Camps-Valls, A. Gerhardus, U. Ninad, G. Varando, G. Martius, E. Balaguer-Ballester, R. Vinuesa, E. Diaza, L. Zannai and J. Rungeb
Published in: Physics Reports, 2023, ISSN 0370-1573
Publisher: Elsevier
DOI: 10.1016/j.physrep.2023.10.005

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

Author(s): C. Vignon; J. Rabault; R. Vinuesa
Published in: Phys. Fluids, 2023, ISSN 1089-7666
Publisher: AIP
DOI: 10.48550/arxiv.2304.03181

European Physical Journal E

Author(s): Luca Guastoni; Jean Rabault; Philipp Schlatter; Hossein Azizpour; Ricardo Vinuesa
Published in: Eur. Phys. J. E, 2023, ISSN 1292-8941
Publisher: Springer
DOI: 10.48550/arxiv.2301.09889

Computing in Science and Engineering

Author(s): Ricardo Vinuesa; Steven L. Brunton
Published in: Comput. Sci. Eng., 2022, ISSN 1521-9615
Publisher: IEEE
DOI: 10.1109/mcse.2023.3264340

Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning

Author(s): L. Yu, M. Z. Yousif, M. Zhang, S. Hoyas, R. Vinuesa and H.-C. Lim
Published in: Phys. Fluids, 2022, ISSN 1089-7666
Publisher: AIP
DOI: 10.1063/5.0129203

Journal of Fluid Mechanics

Author(s): Tie Wei, Zhaorui Li, Tobias Knopp and Ricardo Vinuesa
Published in: J. Fluid Mech., 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.860

International Journal of Heat and Fluid Flow

Author(s): A.G. Balasubramanian; L. Guastoni; P. Schlatter; H. Azizpour; R. Vinuesa
Published in: Int. J. Heat Fluid Flow, 2023, ISSN 0142-727X
Publisher: Elsevier
DOI: 10.48550/arxiv.2303.00706

Identifying regions of importance in wall-bounded turbulence through explainable deep learning

Author(s): Cremades, Andres; Hoyas, Sergio; Deshpande, Rahul; Quintero, Pedro; Lellep, Martin; Lee, Will Junghoon; Monty, Jason; Hutchins, Nicholas; Linkmann, Moritz; Marusic, Ivan; Vinuesa, Ricardo
Published in: Accepted in Nature Communications, 2023, ISSN 0000-0000
Publisher: N/A
DOI: 10.48550/arxiv.2302.01250

Other (3)

The impact of finite span and wing-tip vortices on a turbulent NACA0012 wing

Author(s): Siavash Toosi, Adam Peplinski, Philipp Schlatter, Ricardo Vinuesa
Published in: Preprint Arxiv, 2024, ISSN 0000-0000
Publisher: Arxiv
DOI: 10.48550/arXiv.2310.10857

Active flow control for three-dimensional cylinders through deep reinforcement learning

Author(s): Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, R. Vinuesa
Published in: Preprint Arxiv, 2023, ISSN 0000-0000
Publisher: Arxiv
DOI: 10.48550/arXiv.2309.02462

Active flow control of a turbulent separation bubble through deep reinforcement learning

Author(s): Bernat Font, Francisco Alcántara-Ávila, Jean Rabault, Ricardo Vinuesa, Oriol Lehmkuhl
Published in: Preprint arxiv, 2024, ISSN 0000-0000
Publisher: Arxiv
DOI: 10.48550/arXiv.2403.20295