125 citations · 1.1k across the 75 of their papers we have counts for
22 papers · 1 filter
Regularized Fluctuating Lattice Boltzmann Model
Marco Lauricella, Andrea Montessori, Adriano Tiribocchi +1
We introduce a regularized fluctuating lattice Boltzmann model (Reg-FLBM) for the D3Q27 lattice, which incorporates thermal fluctuations through Hermite-based projections to ensure…
Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays
Jean-Michel Tucny, Marco Lauricella, Mihir Durve +3
Accurate prediction of rarefied gas dynamics is crucial for optimizing flows through microelectromechanical systems, air filtration devices, and shale gas extraction. Traditional m…
Multiscale Hybrid Modeling of Proteins in Solvent: SARS-CoV2 Spike Protein as test case for Lattice Boltzmann -- All Atom Molecular Dynamics Coupling
Marco Lauricella, Letizia Chiodo, Fabio Bonaccorso +6
Physiological solvent flows surround biological structures triggering therein collective motions. Notable examples are virus/host-cell interactions and solvent-mediated allosteric…
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,…
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…
A Multiresolution Mesoscale Approach for Microscale Hydrodynamics
Andrea Montessori, Adriano Tiribocchi, Marco Lauricella +2
A new class of multiscale scheme is presented for micro-hydrodynamic problems based on a dual representation of the fluid observables. The hybrid model is first tested against the…
Modeling pattern formation in soft flowing crystals
Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +1
We present a mesoscale representation of near-contact interactions between colliding droplets which permits to reach up to the scale of full microfluidic devices, where such drople…
Elucidating the mechanism of step-emulsification
Andrea Montessori, Marco Lauricella, Sauro Succi +2
Three-dimensional, time-dependent direct simulations of step emulsification micro-devices highlight two essential mechanisms for droplet formation: first, the onset of an adverse p…
Towards Exascale Design of Soft Mesoscale Materials
Sauro Succi, Giorgio Amati, Fabio Bonaccorso +4
We provide a brief survey of our current developments in the simulation-based design of novel families of mesoscale porous materials using computational kinetic theory. Prospective…
Towards Exascale Lattice Boltzmann computing
Sauro Succi, Giorgio Amati, Massimo Bernaschi +3
We discuss the state of art of Lattice Boltzmann (LB) computing, with special focus on prospective LB schemes capable of meeting the forthcoming Exascale challenge. After reviewing…
LBsoft: a parallel open-source software for simulation of colloidal systems
Fabio Bonaccorso, Andrea Montessori, Adriano Tiribocchi +4
We present LBsoft, an open-source software developed mainly to simulate the hydro-dynamics of colloidal systems based on the concurrent coupling between lattice Boltzmann methods f…
A Coupled lattice Boltzmann-Multiparticle collision method for multi-resolution hydrodynamics
Andrea Montessori, Adriano Tiribocchi, Marco Lauricella +1
In this work we discuss the coupling of two mesoscopic approaches for fluid dynamics, namely the lattice Boltzmann method (LB) and the multiparticle collision dynamics (MPCD) \cite…
Lattice Boltzmann simulations capture the multiscale physics of soft flowing crystals
Andrea Montessori, Adriano Tiribocchi, Fabio Bonaccorso +2
The study of the underlying physics of soft flowing materials depends heavily on numerical simulations, due to the complex structure of the governing equations reflecting the compe…
Lattice Propagators and Haldane-Wu Fractional Statistics
Sauro Succi, Marco Lauricella
We point out a formal analogy between lattice kinetic propagators and Haldane-Wu fractional statistics. The analogy could be used to compute the partition function of fractional qu…
Disordered interfaces in soft fluids with suspended colloids
Adriano Tiribocchi, Marco Lauricella, Andrea Montessori +2
Computer simulations of bi-continuous two-phase fluids with intersparsed dumbbells show that, unlike rigid colloids, soft dumbbells do not lead to arrested coarsening. However, the…
Mesoscale modelling of soft flowing crystals
Andrea Montessori, Marco Lauricella, Sauro Succi
We outline the main ideas behind the numerical modelling of soft-flowing crystals, with special attention to their application to microfluidic devices for the design of novel mesos…
Effects of Nanoparticles on the Dynamic Morphology of Electrified Jets
Marco Lauricella, Dario Pisignano, Sauro Succi
We investigate the effects of nanoparticles on the onset of varicose and whipping instabilities in the dynamics of electrified jets. In particular, we show that the non-linear inte…
Entropic Lattice Boltzmann Model for Charged Leaky Dielectric Multiphase Fluids in Electrified Jets
Marco Lauricella, Simone Melchionna, Andrea Montessori +3
We present a lattice Boltzmann model for charged leaky dielectric multiphase fluids in the context of electrified jet simulations, which are of interest for a number of production…
Effects of Orthogonal Rotating Electric Fields on Electrospinning Process
Marco Lauricella, Federico Cipolletta, Giuseppe Pontrelli +2
Electrospinning is a nanotechnology process whereby an external electric field is used to accelerate and stretch a charged polymer jet, so as to produce fibers with nanoscale diame…
Three-Dimensional Model for Electrospinning Processes in Controlled Gas Counterflow
Marco Lauricella, Dario Pisignano, Sauro Succi
We study the effects of a controlled gas flow on the dynamics of electrified jets in the electrospinning process. The main idea is to model the air drag effects of the gas flow by…
Dynamic mesh refinement for discrete models of jet electro-hydrodynamics
Marco Lauricella, Giuseppe Pontrelli, Dario Pisignano +1
Nowadays, several models of unidimensional fluid jets exploit discrete element methods. In some cases, as for models aiming at describing the electrospinning nanofabrication proces…
JETSPIN: a specific-purpose open-source software for simulations of nanofiber electrospinning
Marco Lauricella, Giuseppe Pontrelli, Ivan Coluzza +2
We present the open-source computer program JETSPIN, specifically designed to simulate the electrospinning process of nanofibers. Its capabilities are shown with proper reference t…