Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection
type: Item
instance of: scholarly article
title: Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection
author: Didier Lucor
author: Atul Agrawal
author: Anne Sergent
published in: Journal of Computational Physics
publication date: 2022-05-05T00:00:00Z
Mathematics Subject Classification ID: 76Fxx
Mathematics Subject Classification ID: 76Mxx
Mathematics Subject Classification ID: 68Txx
zbMATH DE Number: 7518100
zbMATH Keywords: deep learning
zbMATH Keywords: machine learning
zbMATH Keywords: PINNs
zbMATH Keywords: DNS
zbMATH Keywords: turbulence
zbMATH Keywords: convection
describes a project that uses: TensorFlow
describes a project that uses: Adam
describes a project that uses: SciANN
describes a project that uses: NSFnets
MaRDI profile type: Publication
full work available at URL: j.jcp.2022.111022
OpenAlex ID: W4210771111
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DOI: 10.1016/J.JCP.2022.111022
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description: scientific article