59 citations · 213 across the 24 of their papers we have counts for
9 papers · 1 filter
Lattice Boltzmann simulations for soft flowing matter
A. Tiribocchi, M. Durve, M. Lauricella +3
Over the last decade, the Lattice Boltzmann method has found major scope for the simulation of a large spectrum of problems in soft matter, from multiphase and multi-component micr…
Spontaneous motion of a passive fluid droplet in an active microchannel
A. Tiribocchi, M. Durve, M. Lauricella +2
We numerically study the dynamics of a passive fluid droplet confined within a microchannel whose walls are covered with a thin layer of active gel. The latter represents a fluid o…
Crystallization and topology-induced dynamical heterogeneities in soft granular clusters
Michal Bogdan, Jesus Pineda, Mihir Durve +4
Soft-granular media, such as dense emulsions, foams or tissues, exhibit either fluid- or solid-like properties depending on the applied external stresses. Whereas bulk rheology of…
Shapes and dynamic regimes of a polar active fluid droplet under confinement
Adriano Tiribocchi, Mihir Durve, Marco Lauricella +3
Active droplets are artificial microswimmers built from a liquid dispersion by microfluidic tools and showing self-propelled motion. These systems hold particular interest for mimi…
The crucial role of adhesion in the transmigration of active droplets through interstitial orifices
A. Tiribocchi, M. Durve, M. Lauricella +3
Active fluid droplets are a class of soft materials exhibiting autonomous motion sustained by an energy supply. Such systems have been shown to capture motility regimes typical of…
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…
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…
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…
Active Particle Condensation by Nonreciprocal and Time-delayed Interactions
Mihir Durve, Arnab Saha, Ahmed Sayeed
We consider flocking of self-propelling agents in two dimensions, each of which communicates with its neighbors within a limited vision cone. Also, the communication occurs with so…