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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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Swaminathan, Nedunchezhian (Editor), Parente, Alessandro (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Lecture Notes in Energy, 44
Subjects:	Cogeneration of electric power and heat. Fossil fuels. Thermodynamics. Heat engineering. Heat transfer. Mass transfer. Machine learning. Fossil Fuel. Engineering Thermodynamics, Heat and Mass Transfer. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book