4 citations · 4 across the 5 of their papers we have counts for
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physics.flu-dyn2024
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
Matilde Fiore, Enrico Saccaggi, Lilla Koloszar +2
Data-driven RANS modeling is emerging as a promising methodology to exploit the information provided by high-fidelity data. However, its widespread application is limited by challe…
physics.flu-dyn2024★ 4 cited
An extension of the compound flow theory with friction between the streams and at the wall
Jan Van den Berghe, Miguel Alfonso Mendez, Yann Bartosiewicz
Compound flows consist of two or more parallel compressible streams in a duct and their theoretical treatment has gained attention for the analysis and modelling of ejectors. Recen…