activity
20192026
most citedThe vortex-driven dynamics of droplets within droplets

53 citations · 427 across the 43 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

physics.comp-ph2021★ 22 cited

LBcuda: a high-performance CUDA port of LBsoft for simulation of colloidal systems

Fabio Bonaccorso, Marco Lauricella, Andrea Montessori +5

We present LBcuda, a GPU accelerated version of LBsoft, our open-source MPI-based software for the simulation of multi-component colloidal flows. We describe the design principles,…

physics.flu-dyn2021★ 11 cited

Deformation and breakup dynamics of droplets within a tapered channel

Andrea Montessori, Michele La Rocca, Pietro Prestininzi +2

In this paper we numerically investigate the breakup dynamics of droplets in an emulsion flowing in a tapered microchannel with a narrow constriction. The mesoscale approach for mu…

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…

physics.comp-ph2021

Microscale modelling of dielectrophoresis assembly processes

Adriano Tiribocchi, Andrea Montessori, Marco Lauricella +3

This work presents a microscale approach for simulating the dielectrophoresis (DEP) assembly of polarizable particles under an external electric field. The model is shown to captur…

cond-mat.soft2021★ 12 cited

Wet to dry self-transitions in dense emulsions: from order to disorder and back

Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +2

One of the most distinctive hallmarks of many-body systems far from equilibrium is the spontaneous emergence of order under conditions where disorder would be plausibly expected. H…