A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion
Author:
Funder
Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture
Fund for Scientific Research
Waalse Gewest
European Commission
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Elsevier BV
Reference29 articles.
1. Towards accomodating realistic fuel chemistry in large-scale computations;Lu;Prog. Energy Combust. Sci.,2009
2. A survey of projection-based model reduction methods for parametric dynamical systems;Benner;SIAM Rev.,2015
3. E. Glaessgen, D. Stargel, The digital twin paradigm for future NASA and US Air Force vehicles, in: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, 2012, p. 1818.
4. Data-driven models and digital twins for sustainable combustion technologies;Parente;iScience,2024
5. Multifidelity surrogate modeling of experimental and computational aerodynamic data sets;Kuya;AIAA J.,2011
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