Machine Learning and Its Application to Reacting Flows
portes grátis
Machine Learning and Its Application to Reacting Flows
ML and Combustion
Swaminathan, Nedunchezhian; Parente, Alessandro
Springer International Publishing AG
01/2023
346
Mole
Inglês
9783031162503
15 a 20 dias
551
Descrição não disponível.
Introduction.- ML Algorithms, Techniques and their Application to Reactive Molecular Dynamics Simulations.- Big Data Analysis, Analytics & ML role.- ML for SGS Turbulence (including scalar flux) Closures.- ML for Combustion Chemistry.- Applying CNNs to model SGS flame wrinkling in thickened flame LES (TFLES).- Machine Learning Strategy for Subgrid Modelling of Turbulent Combustion using Linear Eddy Mixing based Tabulation.- MILD Combustion-Joint SGS FDF.- Machine Learning for Principal Component Analysis & Transport.- Super Resolution Neural Network for Turbulent non-premixed Combustion.- ML in Thermoacoustics.- Concluding Remarks & Outlook.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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;Open Access
Introduction.- ML Algorithms, Techniques and their Application to Reactive Molecular Dynamics Simulations.- Big Data Analysis, Analytics & ML role.- ML for SGS Turbulence (including scalar flux) Closures.- ML for Combustion Chemistry.- Applying CNNs to model SGS flame wrinkling in thickened flame LES (TFLES).- Machine Learning Strategy for Subgrid Modelling of Turbulent Combustion using Linear Eddy Mixing based Tabulation.- MILD Combustion-Joint SGS FDF.- Machine Learning for Principal Component Analysis & Transport.- Super Resolution Neural Network for Turbulent non-premixed Combustion.- ML in Thermoacoustics.- Concluding Remarks & Outlook.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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;Open Access
