125 citations · 1k across the 65 of their papers we have counts for
66 papers
Beyond capillarity: extended interfacial energy transfer in bubble-laden turbulence
Andrea Montessori
Capillary forces are commonly regarded as an energetically closed channel in multiphase turbulence, redistributing kinetic energy across scales without net gain or loss. Here we sh…
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…
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…
Vortex dynamics and air entrainment in dam break wave impacting on vertical walls: A multiphase lattice Boltzmann study
Massimiliano Mustè, Andrea Montessori, Pietro Prestininzi
Air entrainment often plays a crucial role in determining impact loads exerted by free-surface wave flows interacting with structures, yet its modelling is often oversimplified in…
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…
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…
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…
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…
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…
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-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…
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…
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…
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…
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…
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…
Keldysh-Lattice Boltzmann approach to quantum nanofluidics
Sauro Succi, Andrea Montessori
We present a mathematical and computational framework to couple the Keldysh non equilibrium quantum transport formalism with a nanoscale lattice Boltzmann method for the computatio…
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
Gianmarco Guglielmo, Andrea Montessori, Jean-Michel Tucny +2
Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many pur…
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…
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…
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…
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…
Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
Jean-Michel Tucny, Mihir Durve, Andrea Montessori +1
The prediction non-equilibrium transport phenomena in disordered media is a difficult problem for conventional numerical methods. An example of a challenging problem is the predict…
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…