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Machine Learning and Its Application to Reacting Flows ML and Combustion

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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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Bibliografski detalji
Daljnji autori:	Swaminathan, Nedunchezhian (Urednik), Parente, Alessandro (Urednik)
Format:	Elektronički Poglavlje knjige
Jezik:	engleski
Izdano:	Cham Springer Nature 2023
Serija:	Lecture Notes in Energy 44
Teme:	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 pristup:	OAPEN Library: download the publication OAPEN Library: description of the publication
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