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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, Project e822, 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, 101054894, 101054894, 101054894)
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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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