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

Crossref DOI link: https://doi.org/10.1007/s10494-025-00643-w

Published Online: 2025-03-24

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Arumapperuma, Geveen

Sorace, Nicola

Jansen, Matthew

Bladek, Oliver

Nista, Ludovico

Sakhare, Shreyans

Berger, Lukas

Pitsch, Heinz

Grenga, Temistocle

Attili, Antonio
Funding

Funding for this research was provided by:

Engineering and Physical Sciences Research Council (PhD Scholarship)

ARCHER2 UK National Supercomputing Service (Project e822)

ARCHER2 UK National Supercomputing Service (Project e822)

ARCHER2 UK National Supercomputing Service (Project e822)

German Federal Ministry of Education and Research

High-performance computing service, CLAIX at the NHR Center RWTH Aachen University

European Research Council Advanced Grant HYDROGENATE (101054894)

European Research Council Advanced Grant HYDROGENATE (101054894)

European Research Council Advanced Grant HYDROGENATE (101054894)

European Research Council Advanced Grant HYDROGENATE (101054894)
License Information

Text and Data Mining valid from 2025-03-24

Version of Record valid from 2025-03-24
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Article History

Received: 15 October 2024

Accepted: 12 February 2025

First Online: 24 March 2025

Declarations

:

: The authors declare no conflict of interest.

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