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Article (Scientific journals)
A CFD dataset for supporting machine-learning-based models of hydrogen-ammonia combustion
PISCOPO, Alessandro; Giuntini, Lorenzo; Novelli, Chiara et al.
2026 • In Machine Learning: Engineering
Peer reviewed
Permalink
https://hdl.handle.net/20.500.12907/56043
DOI
10.1088/3049-4761/ae61b5
 

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Disciplines :
Energy
Author, co-author :
PISCOPO, Alessandro  ;  Université de Mons - UMONS > Faculté Polytechnique > Service de Thermique et Combustion
Giuntini, Lorenzo
Novelli, Chiara 
DE PAEPE, Ward  ;  Université de Mons - UMONS > Faculté Polytechnique > Service de Thermique et Combustion
Parente, Alessandro 
Language :
English
Title :
A CFD dataset for supporting machine-learning-based models of hydrogen-ammonia combustion
Publication date :
20 April 2026
Journal title :
Machine Learning: Engineering
ISSN :
3049-4761
Publisher :
IOP Publishing
Peer reviewed :
Peer reviewed
Development Goals :
7. Affordable and clean energy
Additional URL :
https://iopscience.iop.org/article/10.1088/3049-4761/ae61b5
Research unit :
F704 - Thermique et Combustion
Research institute :
R200 - Institut de Recherche en Energie
Name of the research project :
4930 - PDR-De Paepe - HYDROGENATE - Fédération Wallonie Bruxelles
Funders :
European Union
Fonds National de la Recherche Scientifique
Fonds National de la Recherche Scientifique
SPF Finances
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since 21 April 2026

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