Model identification in reactor-based combustion closures using sparse symbolic regression-Reference-Cited by-同舟云学术

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Model identification in reactor-based combustion closures using sparse symbolic regression

Published:2023-09 Issue: Volume:255 Page:112925
ISSN:0010-2180
Container-title:Combustion and Flame
language:en
Short-container-title:Combustion and Flame

Author:

Freitas Rodolfo S.M.^ORCID,Péquin Arthur^ORCID,Galassi Riccardo M.^ORCID,Attili Antonio^ORCID,Parente Alessandro^ORCID

Funder

H2020 Marie Skłodowska-Curie Actions

European Research Council

Fonds De La Recherche Scientifique - FNRS

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Reference81 articles.

1. Theoretical and Numerical Combustion;Poinsot,2005

2. Modeling of flame extinction/re-ignition in oxygen-reduced environments;Ren;Proc. Combust. Inst.,2019

3. Prediction of local extinctions in piloted jet flames with inhomogeneous inlets using unstrained flamelets;Chen;Combust. Flame,2020

4. Turbulent combustion modeling;Veynante;Prog. Energy Combust. Sci.,2002

5. A filtered tabulated chemistry model for LES of premixed combustion;Fiorina;Combust. Flame,2010

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4. An embedded deep learning model discrepancy for computational combustion simulations;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-03-06

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