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Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning

1st Edition 2020, 2020

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Sensitivity analysis of an unsteady char particle combustion

Fuel (Guildford), 2021-03, Vol.287, p.119738, Article 119738

2021

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Modeling homogeneous ignition processes of clustering solid particle clouds in isotropic turbulence

Fuel (Guildford), 2024-09, Vol.371, Article 132054

2024

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Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2014-08, Vol.372 (2022), p.20130324

2014

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Homogeneous ignition and volatile combustion of single solid fuel particles in air and oxy-fuel conditions

Fuel (Guildford), 2021-05, Vol.291, p.120101, Article 120101

2021

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Data-driven modeling of resolved and filtered thermo-diffusively unstable hydrogen–air flames

Proceedings of the Combustion Institute, 2024, Vol.40 (1-4), Article 105713

2024

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Numerical investigation of coal particle stream ignition in oxy-atmosphere

Fuel (Guildford), 2019-04, Vol.241, p.477-487

2019

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Application of a robust and efficient Lagrangian particle scheme to soot transport in turbulent flames

Computers & fluids, 2013-09, Vol.84, p.164-175

2013

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Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2014-08, Vol.372 (2022), p.1-15

2014

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Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), p.460-469

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Structure function scaling in a Re sub([lambda]) = 250 turbulent mixing layer

Journal of physics. Conference series, 2011-01, Vol.318, p.1-10

2011

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Which factors influence the extent of indoor transmission of SARS-CoV-2? A rapid evidence review

Journal of global health, 2021-04, Vol.11, p.10002, Article 10002

2021

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Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.273-292

2020

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From Discrete and Iterative Deconvolution Operators to Machine Learning for Premixed Turbulent Combustion Modeling

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.215-232

2020

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Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.177-196

2020

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Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 1, Basic Concepts

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.43-64

2020

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Data-Driven Modal Decomposition Techniques for High-Dimensional Flow Fields

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.135-155

2020

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Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.89-108

2020

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Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.65-88

2020

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Analysis of Turbulent Reacting Jets via Principal Component Analysis

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.233-251

2020

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Application of an Evolutionary Algorithm to LES Modelling of Turbulent Premixed Flames

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.253-271

2020

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Data-Based Modeling for the Crank Angle Resolved CI Combustion Process

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.197-213

2020

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Dissipation Element Analysis of Inert and Reacting Turbulent Flows

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.19-41

2020

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Analysis of Flame Topology and Burning Rates

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.1-17

2020

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Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets

Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 2020, p.157-176

2020

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Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning

Sensitivity analysis of an unsteady char particle combustion

Modeling homogeneous ignition processes of clustering solid particle clouds in isotropic turbulence

Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

Homogeneous ignition and volatile combustion of single solid fuel particles in air and oxy-fuel conditions

Data-driven modeling of resolved and filtered thermo-diffusively unstable hydrogen–air flames

Numerical investigation of coal particle stream ignition in oxy-atmosphere

Application of a robust and efficient Lagrangian particle scheme to soot transport in turbulent flames

Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations

Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis

Structure function scaling in a Re sub([lambda]) = 250 turbulent mixing layer

Which factors influence the extent of indoor transmission of SARS-CoV-2? A rapid evidence review

Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation

From Discrete and Iterative Deconvolution Operators to Machine Learning for Premixed Turbulent Combustion Modeling

Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequential Data Assimilation

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 1, Basic Concepts

Data-Driven Modal Decomposition Techniques for High-Dimensional Flow Fields

Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations

Computational Singular Perturbation Method and Tangential Stretching Rate Analysis of Large Scale Simulations of Reactive Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification. Part 2, Analyses of Ignition Systems, Laminar and Turbulent Flames

Analysis of Turbulent Reacting Jets via Principal Component Analysis

Application of an Evolutionary Algorithm to LES Modelling of Turbulent Premixed Flames

Data-Based Modeling for the Crank Angle Resolved CI Combustion Process

Dissipation Element Analysis of Inert and Reacting Turbulent Flows

Analysis of Flame Topology and Burning Rates

Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets

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