194 citations · 201 across the 9 of their papers we have counts for
Showing 2022 · physics.flu-dynShow all
2 papers · 2 filters
physics.flu-dyn2022★ 1 cited
Local manifold learning and its link to domain-based physics knowledge
Kamila Zdybał, Giuseppe D'Alessio, Antonio Attili +3
In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain t…
physics.flu-dyn2022★ 1 cited
Higher order dynamic mode decomposition to model reacting flows
Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente +1
In this work, the application of the multi-dimensional higher order dynamic mode decomposition (HODMD) is proposed for the first time to analyse combustion databases. In particular…