Machine Learning and Its Application to Reacting Flows

This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large bo...

Ausführliche Beschreibung

Bibliographische Detailangaben

Format:	Online
Sprache:	Englisch
Veröffentlicht:	Springer Nature 2023
Schlagworte:	Machine Learning Combustion Simulations Combustion Modelling Big Data Analysis Dimensionality reduction Reduced-order modelling Neural Networks Turbulent Combustion Physics-based modelling Data-driven modelling Deep learning Thermoacoustics and its modelling Reactive molecular dynamics Simulations of reacting flows thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THF Fossil fuel technologies thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science::TGMB Engineering thermodynamics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PH Physics::PHH Thermodynamics and heat
Online-Zugang:	ONIX_20230120_9783031162480_52
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