Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
type: Item
instance of: scholarly article
title: Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
zbMATH Open document ID: 1383.76175
author: Julia Ling
author: Andrew Kurzawski
author: Jeremy Templeton
published in: Journal of Fluid Mechanics
publication date: 2017-09-28T00:00:00Z
full work available at URL: https://www.osti.gov/biblio/1333570
Mathematics Subject Classification ID: 76F02
zbMATH DE Number: 6782289
zbMATH Keywords: turbulence modelling
zbMATH Keywords: turbulence theory
zbMATH Keywords: turbulent flows
describes a project that uses: Spearmint
MaRDI profile type: Publication
OpenAlex ID: W2534240011
Wikidata QID: Q111440637
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DOI: 10.1017/JFM.2016.615
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description: scientific article; zbMATH DE number 6782289