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A data-driven approach to refine the partially stirred reactor closure for turbulent premixed flames

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Year: 2024
Type: preprint
Source: Research Square
DOI: 10.21203/rs.3.rs-5071317/v1
Authors: Lorenzo Piu, Arthur Péquin, Rodolfo S. M. Freitas, Salvatore Iavarone, Heinz Pitsch, Alessandro Parente
Institutions: Université Libre de Bruxelles, Queen Mary University of London, Université Paris-Saclay, RWTH Aachen University
Language: English

Topic: Combustion and flame dynamics
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
SDG: Affordable and clean energy

Open Access status: green

Funders: European Commission, Fonds De La Recherche Scientifique - FNRS, HORIZON EUROPE Framework Programme, HORIZON EUROPE Marie Sklodowska-Curie Actions
Award: ENabling sustainable COmbustion technologies using hybrid physics-based Data-driven modelING
OpenAlex ID: W4403092579
Cites:
Cited by: 1
Related to: 10
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