A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows
type: Item
instance of: scholarly article
title: A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows
zbMATH Open document ID: 1501.76062
DOI: 10.1007/978-3-030-97549-4_43
author: Pavel Gavrilenko
author: B. Haasdonk
author: Oleg P. Iliev
author: Mario Ohlberger
author: Felix Schindler
author: Pavel Toktaliev
author: Tizian Wenzel
author: Maha Youssef
publication date: 2022-04-22T00:00:00Z
full work available at URL: https://arxiv.org/abs/2104.02800
Mathematics Subject Classification ID: 76M99
Mathematics Subject Classification ID: 76V05
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7511657
zbMATH Keywords: projection-based reduced basis model
zbMATH Keywords: reduced-order model
zbMATH Keywords: kernel method
zbMATH Keywords: chemical conversion rate
zbMATH Keywords: data based machine learning
describes a project that uses: pyMOR
describes a project that uses: hapod
MaRDI profile type: Publication
OpenAlex ID: W3146713108
arXiv ID: 2104.02800
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description: scientific article