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Volume 21, Issue 9-10

Journal of Turbulence

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Journal of Turbulence, Volume 21, Issue 9-10 (2020)

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Journal of Turbulence, Volume 21, Issue 9-10 (2020)

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The machine learning: Guest edited by Federico Toschi

Editorials

Editorial

Federico Toschi

Page: 483

Published online: 30 Oct 2020

CitationforEditorial | Full Text | PDF (105.2 KB)

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Articles

Article

Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics

Arvind T. Mohan, Dima Tretiak, Misha Chertkov & Daniel Livescu

Pages: 484-524

Published online: 15 Oct 2020

AbstractforSpatio-temporal deep learning models of 3D turbulence with physics informed diagnostics | Full Text | References | PDF (6 MB)

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Article

Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow

Rui Fang, David Sondak, Pavlos Protopapas & Sauro Succi

Pages: 525-543

Published online: 24 Dec 2019

AbstractforNeural network models for the anisotropic Reynolds stress tensor in turbulent channel flow | Full Text | References | PDF (2.5 MB)

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Monte Carlo science

Javier Jiménez

Pages: 544-566

Published online: 19 Mar 2020

AbstractforMonte Carlo science | Full Text | References | PDF (3 MB)

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A perspective on machine learning in turbulent flows

Sandeep Pandey, Jörg Schumacher & Katepalli R. Sreenivasan

Pages: 567-584

Published online: 24 Apr 2020

AbstractforA perspective on machine learning in turbulent flows | Full Text | References | PDF (2.5 MB)

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Article

Controlling Rayleigh–Bénard convection via reinforcement learning

Gerben Beintema, Alessandro Corbetta, Luca Biferale & Federico Toschi

Pages: 585-605

Published online: 29 Jul 2020

AbstractforControlling Rayleigh–Bénard convection via reinforcement learning | Full Text | References | PDF (3.4 MB)

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Journal of Turbulence (Vol.21, Iss.9-10, 2020)

The machine learning: Guest edited by Federico Toschi

The machine learning: Guest edited by Federico Toschi

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