26 citations · 72 across the 13 of their papers we have counts for
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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★ 15 cited
Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes
Temistocle Grenga, Ludovico Nista, Christoph Schumann +4
Premixed flames exhibit different asymptotic regimes of interaction between heat release and turbulence depending on their respective length scales. At high Karlovitz number, the d…