activity
20152026
most citedModeling realistic multiphase flows using a non-orthogonal multiple-relaxation-time lattice Boltzmann method

125 citations · 1.1k across the 75 of their papers we have counts for

collaborators

76 papers

cs.DC2026

LBFAST: A Lightweight Moment-Represented Lattice Boltzmann Solver for Multi-GPU Architectures

Marco Lauricella, Andrea Montessori, Giorgio Amati +4

We present LBFAST, a GPU-oriented lattice Boltzmann solver based on a lightweight moment-represented formulation, in which post-collision populations are reconstructed on the fly f…

physics.flu-dyn2026

Accurate wetting dynamics via a conservative Allen-Cahn based lattice Boltzmann approach for multiphase flows

Paolo Bello, Luca Mander, Marco Lauricella +3

In this work we propose a local geometric wetting boundary condition for a conservative Allen--Cahn-based lattice Boltzmann framework. The prescribed contact angle is imposed throu…

cond-mat.mes-hall2026

Negative quantum friction in nanoscale water flows: the Wigner picture

Adriano Tiribocchi, Marco Lauricella, Efthimios Kaxiras +1

We explore the phenomenon of "quantum" friction based on a single-particle model patterned after the Wigner equation describing electrons flow in a solid wall confining nanoscale w…

cond-mat.soft2026

Three dimensional contractile droplet under confinement

Adriano Tiribocchi, Marco Lauricella, Andrea Montessori +1

We numerically study the dynamics of a three-dimensional contractile fluid droplet in the bulk and under confinement. We show that varying activity leads to a variety of shapes and…

physics.flu-dyn2026

Adaptive near-contact repulsion in conservative Allen-Cahn phase-field lattice Boltzmann multiphase model

Andrea Montessori, Maria Rosa Lisboa, Marco Lauricella +1

Unresolved thin-film dynamics often causes spurious coalescence in diffuse-interface simulations of multiphase flows. We address this issue by introducing a fully local repulsive n…

cond-mat.soft2026

Ghost-Mode Filtered Fluctuating Lattice Boltzmann Method

Marco Lauricella, Andrea Montessori, Adriano Tiribocchi +1

Fluctuating lattice Boltzmann solvers are widely employed to model mesoscopic fluid behavior in soft-matter systems, including colloidal suspensions and dilute polymer solutions. D…

physics.flu-dyn2025

Breakdown of Kolmogorov Scaling and Modified Energy Transfer in Bubble-Laden Turbulence

Andrea Montessori, Marco Lauricella, Aritra Mukherjee +1

We investigate the effect of a dispersed bubble phase on forced homogeneous and isotropic turbulence using high-resolution high-performance simulations based on the lattice Boltzma…

physics.flu-dyn2025

Representation of Typical Droplet Shapes in 2D Latent Space

Mihir Durve, Jean-Michel Tucny Andrea Montessori, Marco Lauricella +1

In this study, we investigate the clustering of 5000 droplets, each originating from one of five distinct droplet classes, each representing a unique geometry. The shape coordinate…

physics.comp-ph2025★ 3 cited

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.flu-dyn2025

accLB: A High-Performance Lattice Boltzmann Code for Multiphase Turbulence on Multi-Gpu Architectures

Marco Lauricella, Aritra Mukherjee, Luca Brandt +3

In this work, we present accLB, a high-performance Fortran-based lattice Boltzmann (LB) solver tailored to multiphase turbulent flows on multi-GPU architectures. The code couples a…

physics.comp-ph2025

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…

physics.flu-dyn2025

Thread-safe multiphase lattice Boltzmann model for droplet and bubble dynamics at high density and viscosity contrasts

Marco Lauricella, Adriano Tiribocchi, Sauro Succi +4

This study presents a high-order, thread-safe version of the lattice Boltzmann (LBM) method, incorporating an interface-capturing equation, based on the conservative Allen-Cahn equ…

physics.flu-dyn2024

Minimal droplet shape representation in experimental microfluidics using Fourier series and autoencoders

Mihir Durve, Jean-Michel Tucny, Sibilla Orsini +6

We introduce a two-step, fully reversible process designed to project the outer shape of a generic droplet onto a lower-dimensional space. The initial step involves representing th…

physics.flu-dyn2024

Droplet shape representation using Fourier series and autoencoders

Mihir Durve, Jean-Michel Tucny, Deepesh Bhamre +4

The shape of liquid droplets in air plays an important role in aerodynamic behavior and combustion dynamics of miniaturized propulsion systems such as microsatellites and small dro…

physics.flu-dyn2024

A high-performance lattice Boltzmann model for multicomponent turbulent jet simulations

Andrea Montessori, Luiz A. Hegele, Marco Lauricella

In this work an optimized multicomponent lattice Boltzmann (LB) model is deployed to simulate axisymmetric turbulent jets of a fluid evolving in a quiescent, immiscible environment…

physics.flu-dyn2024

High-order thread-safe lattice Boltzmann model for HPC turbulent flow simulations

Andrea Montessori, Michele La Rocca, Giorgio Amati +3

We present a highly-optimized thread-safe lattice Boltzmann model in which the non-equilibrium part of the distribution function is locally reconstructed via recursivity of Hermite…

physics.flu-dyn2023★ 10 cited

Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning

Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6

In microfluidic systems, droplets undergo intricate deformations as they traverse flow-focusing junctions, posing a challenging task for accurate measurement, especially during sho…

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…

physics.flu-dyn2023★ 125 cited

Modeling realistic multiphase flows using a non-orthogonal multiple-relaxation-time lattice Boltzmann method

Linlin Fei, Jingyu Du, Kai H. Luo +4

In this paper, we develop a three-dimensional multiple-relaxation-time lattice Boltzmann method (MRT-LBM) based on a set of non-orthogonal basis vectors. Compared with the classica…

physics.comp-ph2023

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…

physics.flu-dyn2023★ 79 cited

Models of polymer solutions in electrified jets and solution blowing

Marco Lauricella, Sauro Succi, Eyal Zussman +2

Fluid flows hosting electrical phenomena make the subject of a fascinating and highly interdisciplinary scientific field. In recent years, the extraordinary success of electrospinn…

cs.DC2023★ 1 cited

Thread-safe lattice Boltzmann for high-performance computing on GPUs

Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +5

We present thread-safe, highly-optimized lattice Boltzmann implementations, specifically aimed at exploiting the high memory bandwidth of GPU-based architectures. At variance with…

cs.CV2023★ 6 cited

Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a tool to analyze general microfluidic videos to infer physical quantities. The state-of…

physics.flu-dyn2023★ 14 cited

Lightweight Lattice Boltzmann

Adriano Tiribocchi, Andrea Montessori, Giorgio Amati +5

A GPU-accelerated version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distrib…