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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Detalhes bibliográficos
Outros Autores:	Swaminathan, Nedunchezhian (Editor), Parente, Alessandro (Editor)
Formato:	Recurso Electrónico Capítulo de Livro
Idioma:	inglês
Publicado em:	Cham Springer Nature 2023
Colecção:	Lecture Notes in Energy
Assuntos:	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
Acesso em linha:	DOAB: download the publication DOAB: description of the publication
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Machine Learning and Its Application to Reacting Flows ML and Combustion /

Publicado em 2023

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Recurso Electrónico livro electrónico

Machine Learning and Its Application to Reacting Flows ML and Combustion

Publicado em 2023

OAPEN Library: download the publication
OAPEN Library: description of the publication

Recurso Electrónico Capítulo de Livro

Machine Learning and Its Application to Reacting Flows ML and Combustion

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

Machine Learning and Its Application to Reacting Flows ML and Combustion

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