activity
19932023
most citedGeneralized Lattice Boltzmann Method with multi-range pseudo-potential

492 citations · 6.6k across the 217 of their papers we have counts for

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Showing cond-mat.softShow all

35 papers · 1 filter

cond-mat.soft2023

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…

cond-mat.soft2023

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…

cond-mat.soft2022★ 5 cited

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…

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…

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…

cond-mat.soft2020★ 12 cited

Concentrated phase emulsion with multi-core morphology under shear: A numerical study

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

We numerically study the dynamic behavior under a symmetric shear flow of selected examples of concentrated phase emulsions with multi-core morphology confined within a microfluidi…

cond-mat.soft2020

Micro-vorticity fluctuations affect the structure of thin fluid films

A. Tiribocchi, A. Montessori, S. Miliani +3

The dynamic interaction of complex fluid interfaces is highly sensitive to near-contact interactions occurring at the scale of ten of nanometers. Such interactions are difficult to…

cond-mat.soft2020★ 26 cited

Modelling drug delivery from multiple emulsions

G. Pontrelli, E. J. Carr, A. Tiribocchi +1

We present a mechanistic model of drug release from a multiple emulsion into an external surrounding fluid. We consider a single multi-layer droplet where the drug kinetics are des…

cond-mat.soft2020★ 53 cited

The vortex-driven dynamics of droplets within droplets

A. Tiribocchi, A. Montessori, M. Lauricella +5

Understanding the fluid-structure interaction is crucial for an optimal design and manufacturing of soft mesoscale materials. Multi-core emulsions are a class of soft fluids assemb…

cond-mat.soft2020★ 4 cited

Multiparticle collision dynamics for fluid interfaces with near-contact interactions

Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +2

We present an extension of the multiparticle collision dynamics method for flows with complex interfaces, including supramolecular near-contact interactions mimicking the effect of…

cond-mat.soft2019★ 13 cited

Discrete fluidization of dense monodisperse emulsions in neutral wetting microchannels

Linlin Fei, Andrea Scagliarini, Kai H. Luo +1

The rheology of pressure-driven flows of two-dimensional dense monodisperse emulsions in neutral wetting microchannels is investigated by means of mesoscopic lattice simulations, c…

cond-mat.soft2019★ 26 cited

Novel non-equilibrium steady states in multiple emulsions

A. Tiribocchi, A. Montessori, S. Aime +4

We numerically investigate the rheological response of a non-coalescing multiple emulsion under a symmetric shear flow. We find that the dynamics significantly depends on the magni…

cond-mat.soft2019★ 11 cited

On the impact of controlled wall roughness shape on the flow of a soft-material

F. Pelusi, M. Sbragaglia, A. Scagliarini +3

We explore the impact of geometrical corrugations on the near-wall flow properties of a soft-material driven in a confined rough microchannel. By means of numerical simulations, we…

cond-mat.soft2015

The JETSPIN User Manual (Version 1.20)

Marco Lauricella, Giuseppe Pontrelli, Ivan Coluzza +2

JETSPIN is an open-source computer program specifically designed to simulate the electrospinning process of nanofibers. This manual provides an overview of JETSPIN, focusing primar…

cond-mat.soft2015

Cooperativity flows and Shear-Bandings: a statistical field theory approach

R. Benzi, M. Sbragaglia, M. Bernaschi +2

Cooperativity effects have been proposed to explain the non-local rheology in the dynamics of soft jammed systems. Based on the analysis of the free-energy model proposed by L. Boc…

cond-mat.soft2015

Thermo-hydrodynamic non-equilibrium effects on compressible Rayleigh-Taylor instability

Huilin Lai, Aiguo Xu, Guangcai Zhang +3

The effects of compressibility on Rayleigh-Taylor instability (RTI) are investigated by inspecting the interplay between thermodynamic and hydrodynamic non-equilibrium phenomena (T…

cond-mat.soft2015★ 44 cited

Sub-ms dynamics of the instability onset of electrospinning

Martina Montinaro, Vito Fasano, Maria Moffa +5

Electrospun polymer jets are imaged for the first time at an ultra-high rate of 10,000 frames per second, investigating the process dynamics, and the instability propagation veloci…

cond-mat.soft2015★ 159 cited

Discrete Boltzmann modeling of multiphase flows: hydrodynamic and thermodynamic non-equilibrium effects

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +1

A discrete Boltzmann model (DBM) is developed to investigate the hydrodynamic and thermodynamic non-equilibrium (TNE) effects in phase separation processes. The interparticle force…

cond-mat.soft2015★ 15 cited

Different regimes of the uniaxial elongation of electrically charged viscoelastic jets due to dissipative air drag

Marco Lauricella, Giuseppe Pontrelli, Ivan Coluzza +2

We investigate the effects of dissipative air drag on the dynamics of electrified jets in the initial stage of the electrospinning process. The main idea is to use a Brownian noise…