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Tracking Turbulent Coherent Structures by Means of Neural Networks

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Tracking Turbulent Coherent Structures by Means of Neural Networks

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Aguilar-Fuertes, JJ.; Noguero-Rodríguez, F.; Jaen Ruiz, JC.; García-Raffi, LM.; Hoyas, S. (2021). Tracking Turbulent Coherent Structures by Means of Neural Networks. Energies. 14(4):1-15. https://doi.org/10.3390/en14040984

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183132

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Title: Tracking Turbulent Coherent Structures by Means of Neural Networks
Author: Aguilar-Fuertes, José J. Noguero-Rodríguez, Francisco Jaen Ruiz, José C. García-Raffi, L. M. Hoyas, S.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
[EN] The behaviours of individual flow structures have become a relevant matter of study in turbulent flows as the computational power to allow their study feasible has become available. Especially, high instantaneous ...[+]
Subjects: Turbulence , Turbulent structures , DNS , Machine learning , Neural networks
Copyrigths: Reconocimiento (by)
Source:
Energies. (eissn: 1996-1073 )
DOI: 10.3390/en14040984
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/en14040984
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102256-B-I00/ES/TRANSFERENCIA DE CALOR EN FLUJOS DE PARED: CANALES Y CAPAS LIMITES/
Thanks:
This work was supported by RTI2018-102256-B-I00 of MINECO/FEDER. The computations of the new simulations were made possible by a generous grant of computing time from the Barcelona Supercomputing Centre, reference ...[+]
Type: Artículo

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