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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
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