activity
20162026
most citedCoherent structures and extreme events in rotating multiphase turbulent flows

111 citations · 456 across the 40 of their papers we have counts for

collaborators
Showing cond-mat.softShow all

10 papers · 1 filter

cond-mat.soft2022★ 21 cited

Stochastic jetting and dripping in confined soft granular flows

Michał Bogdan, Andrea Montessori, Adriano Tiribocchi +5

We report new dynamical modes in confined soft granular flows, such as stochastic jetting and dripping, with no counterpart in continuum viscous fluids. The new modes emerge as a r…

cond-mat.soft2022★ 11 cited

Curvature dynamics and long-range effects on fluid-fluid interfaces with colloids

A. Tiribocchi, F. Bonaccorso, M. Lauricella +3

We investigate the dynamics of a phase-separating binary fluid, containing colloidal dumbbells anchored to the fluid-fluid interface. Extensive Lattice Boltzmann-Immersed Boundary…

cond-mat.soft2022★ 4 cited

Dynamics of polydisperse multiple emulsions in microfluidic channels

A. Tiribocchi, A. Montessori, M. Durve +3

Multiple emulsions are a class of soft fluid in which small drops are immersed within a larger one and stabilized over long periods of time by a surfactant. We recently showed that…

cond-mat.soft2021★ 12 cited

Tracking droplets in soft granular flows with deep learning techniques

Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3

The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulati…

cond-mat.soft2021★ 13 cited

Shear dynamics of polydisperse double emulsions

A. Tiribocchi, A. Montessori, F. Bonaccorso +2

We numerically study the dynamics of a polydisperse double emulsion under a symmetric shear flow. We show that both dispersity and shear rate crucially affect the behavior of the i…

cond-mat.soft2021★ 23 cited

A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions

Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3

We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to cor…