Machine Learning and Its Application to Reacting Flows : ML and Combustion / / edited by Nedunchezhian Swaminathan, Alessandro Parente.

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
Superior document:Lecture Notes in Energy, 44
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TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2023.
Year of Publication:2023
Edition:1st ed. 2023.
Language:English
Series:Lecture Notes in Energy, 44
Physical Description:1 electronic resource (346 p.)
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