18 citations · 34 across the 22 of their papers we have counts for
23 papers
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…
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…
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…
Kinetic-based regularization: Learning spatial derivatives and PDE applications
Abhisek Ganguly, Santosh Ansumali, Sauro Succi
Accurate estimation of spatial derivatives from discrete and noisy data is central to scientific machine learning and numerical solutions of PDEs. We extend kinetic-based regulariz…
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…
Spontaneous epicuticular charging affects droplet dynamics on living leaves
Mihir Durve, Serena Armiento, Benham Kamare +3
How water droplets move and slide on leaves influences plant ecophysiological and abiotic interactions, as well as the design of advanced bio-inspired wetting materials. Despite cr…
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…
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…
Randomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective
Jean-Michel Tucny, Abhisek Ganguly, Santosh Ansumali +1
Physics-informed neural networks (PINNs) often exhibit weight matrices that appear statistically random after training, yet their implications for signal propagation and stability…
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…
Quantum Algorithm for the Fixed-Radius Neighbor Search
Luca Cappelli, Claudio Sanavio, Alessandro Andrea Zecchi +2
Neighbor search is a computationally demanding problem, usually both time- and memory-consuming. The main problem of this kind of algorithms is the long execution time due to cache…
Is the end of Insight in Sight ?
Jean-Michel Tucny, Mihir Durve, Sauro Succi
The rise of deep learning challenges the longstanding scientific ideal of insight - the human capacity to understand phenomena by uncovering underlying mechanisms. In many modern a…
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…
Cosmological implications of the minimum viscosity principle
P. G. Tello, Sauro Succi
It is shown that black holes in a quark gluon plasma (QGP) obeying minimum viscosity bounds, exhibit a Schwarzschild radius in close match with the range of the strong force. For s…
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…
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…
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…
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…
Extrinsic and intrinsic effects setting viscosity in complex fluids and life processes: the role of fundamental physical constants
K. Trachenko, P. G. Tello, S. A. Kauffman +1
Understanding the values and origin of fundamental physical constants, one of the grandest challenges in modern science, has been discussed in particle physics, astronomy and cosmo…
Quantum wave representation of dissipative fluids
L. Salasnich, S. Succi, A. Tiribocchi
We present a mapping between a Schrödinger equation with a shifted non-linear potential and the Navier-Stokes equation. Following a generalization of the Madelung transformations,…
Extended friction elucidates the breakdown of fast water transport in graphene oxide membranes
A. Montessori, C. A. Amadei, G. Falcucci +3
The understanding of water transport in graphene oxide (GO) membranes stands out as a major theoretical problem in graphene research. Notwithstanding the intense efforts devoted to…