15 citations · 38 across the 6 of their papers we have counts for
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physics.flu-dyn2023
Data-driven modelling for drop size distributions
Tullio Traverso, Thomas Abadie, Omar K. Matar +1
The prediction of the drop size distribution (DSD) resulting from liquid atomization is key to the optimization of multi-phase flows, from gas-turbine propulsion, through agricultu…
physics.flu-dyn2023
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
Tullio Traverso, Francesco Coletti, Luca Magri +2
The accurate prediction of the two-phase heat transfer coefficient (HTC) as a function of working fluids, channel geometries and process conditions is key to the optimal design and…