Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size

Authors

Lukas Berger (ORCID: https://orcid.org/0000-0001-9169-2986)
Ludovico Nista (ORCID: https://orcid.org/0000-0001-6796-4072)
Rahul Suryakant Sakhare (ORCID: https://orcid.org/0000-0001-7843-5707)
Temistocle Grenga (ORCID: https://orcid.org/0000-0002-9465-9505)
Heinz G. Pitsch (ORCID: https://orcid.org/0000-0001-5656-0961)
Antonio Attili (ORCID: https://orcid.org/0000-0003-2771-8832)
Geveen Arumapperuma
Mark J. Jansen
Nicola Sorace
Oliver Bladek

Institutions

University of Southampton (GB)
RWTH Aachen University (DE)
University of Edinburgh (GB)

Publication Details

Journal: Flow Turbulence and Combustion
Published: 2025-03-24
DOI: https://doi.org/10.1007/s10494-025-00643-w
Citations: 4
Primary Topic: Combustion and flame dynamics
Type: article
Field-Weighted Citation Impact: 5.34

Funders

Engineering and Physical Sciences Research Council

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article

Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size

Lukas Berger, Ludovico Nista, Rahul Suryakant Sakhare, Temistocle Grenga et al.

Mar 24, 2025

4 citations

Flow Turbulence and Combustion

Combustion and flame dynamics

5.34

article

Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size

Lukas Berger, Ludovico Nista, Rahul Suryakant Sakhare, Temistocle Grenga, Heinz G. Pitsch, Antonio Attili, Geveen Arumapperuma, Mark J. Jansen, Nicola Sorace, Oliver Bladek

March 24, 2025article en

4 citations

Abstract

No abstract available for this paper.

Flow Turbulence and CombustionVol. 115(3)

University of Southampton (GB), RWTH Aachen University (DE), University of Edinburgh (GB)

Engineering and Physical Sciences Research Council

Openalex Percentile: Top 5%

Combustion and flame dynamics

5.34

DOI Open Access PDF OpenAlex

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