Machine Learning and Its Application to Reacting Flows: ML and Combustion

Machine Learning and Its Application to Reacting Flows: ML and Combustion

Fossil fuel technologies
Engineering thermodynamics
Machine learning
Thermodynamics & heat

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 body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment.

Swaminathan, Nedunchezhian (editor)
Parente, Alessandro (editor)
Language

https://directory.doabooks.org/handle/20.500.12854/96208

Springer Nature

2023

Wahyuni

http://creativecommons.org/licenses/by/4.0/

Pdf

English

Textbooks

DOI
10.1007/978-3-031-16248-0

ISBN
9783031162480