Machine Learning and Its Application to Reacting Flows ML and Combustion

Machine Learning and Its Application to Reacting Flows ML and Combustion

Show other versions (1)

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Swaminathan, Nedunchezhian (Editor), Parente, Alessandro (Editor)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2023
Series:Lecture Notes in Energy 44
Subjects:
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
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

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

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items