15 citations · 38 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
Hydro-chemical interactions in dilute phoretic suspensions: from individual particle properties to collective organization
Tullio Traverso, Sebastien Michelin
Janus phoretic colloids (JPs) self-propel as a result of self-generated chemical gradients and exhibit spontaneous nontrivial dynamics within phoretic suspensions, on length scales…