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Deep learning in turbulent convection networks

We explore heat transport properties of turbulent Rayleigh–Bénard convection in horizontally extended systems by using deep-learning algorithms that greatly reduce the number of degrees of freedom. Particular attention is paid to the slowly evolving turbulent superstructures—so called because they a...

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Bibliografski detalji
Izdano u:Proc Natl Acad Sci U S A
Glavni autori: Fonda, Enrico, Pandey, Ambrish, Schumacher, Jörg, Sreenivasan, Katepalli R.
Format: Artigo
Jezik:Inglês
Izdano: National Academy of Sciences 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6500159/
https://ncbi.nlm.nih.gov/pubmed/30988195
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1900358116
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