Controlling Rayleigh–Bénard convection via reinforcement learning-Reference-Cited by-同舟云学术

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Controlling Rayleigh–Bénard convection via reinforcement learning

Published:2020-07-29 Issue:9-10 Volume:21 Page:585-605
ISSN:1468-5248
Container-title:Journal of Turbulence
language:en
Short-container-title:Journal of Turbulence

Author:

Beintema Gerben¹,Corbetta Alessandro¹,Biferale Luca²,Toschi Federico¹³⁴

Affiliation:

1. Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands

2. Department of Physics and INFN, University of Rome Tor Vergata, Rome, Italy

3. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

4. CNR-IAC, Rome, Italy

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Mechanics of Materials,Condensed Matter Physics,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/14685248.2020.1797059

Reference50 articles.

1. Dynamic stabilization of the Rayleigh-Bénard instability by acceleration modulation

2. Müller G. Convection and inhomogeneities in crystal growth from the melt. In: Crystal growth from the melt. Springer; 1988. p. 1–136.

3. The Lattice Boltzmann Method

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