Machine Learning and Its Application to Reacting Flows ML and Combustion

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...

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Bibliografische gegevens
Andere auteurs:	Swaminathan, Nedunchezhian (Redacteur), Parente, Alessandro (Redacteur)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	Cham Springer Nature 2023
Reeks:	Lecture Notes in Energy
Onderwerpen:	Fossil fuel technologies Engineering thermodynamics Machine learning Thermodynamics & heat 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
Online toegang:	DOAB: download the publication DOAB: description of the publication
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Machine Learning and Its Application to Reacting Flows ML and Combustion

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