output
19962026
most citedGeneralized Lattice Boltzmann Method with multi-range pseudo-potential

492 citations

Showing 2023Show all

15 papers · 1 filter

cond-mat.dis-nn2023★ 33 cited

The Quantum Transition of the Two-Dimensional Ising Spin Glass: A Tale of Two Gaps

Massimo Bernaschi, Isidoro González-Adalid Pemartín, Víctor Martín-Mayor +1

Quantum annealers are commercial devices aiming to solve very hard computational problems named spin glasses. Just like in metallurgic annealing one slowly cools a ferrous metal, q…

cond-mat.dis-nn2023★ 23 cited

The nature of non-phononic excitations in disordered systems

Walter Schirmacher, Matteo Paoluzzi, Felix Cosmin Mocanu +4

Using heterogeneous-elasticity theory (HET) and a generalisation of HET theory (GHET), obtained by applying a newly developed procedure for obtaining the continuum limit of the gla…

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…

cs.CV2023★ 1 cited

An overview of some mathematical techniques and problems linking 3D vision to 3D printing

Emiliano Cristiani, Maurizio Falcone, Silvia Tozza

Computer Vision and 3D printing have rapidly evolved in the last 10 years but interactions among them have been very limited so far, despite the fact that they share several mathem…

physics.flu-dyn2023★ 8 cited

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,…

cs.SI2023★ 13 cited

Entropy-based detection of Twitter echo chambers

Manuel Pratelli, Fabio Saracco, Marinella Petrocchi

Echo chambers, i.e. clusters of users exposed to news and opinions in line with their previous beliefs, were observed in many online debates on social platforms. We propose a compl…

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.flu-dyn2023★ 14 cited

Analysis of the heat transfer fluctuations in the Rayleigh-Bénard convection of concentrated emulsions with finite-size droplets

Francesca Pelusi, Stefano Ascione, Mauro Sbragaglia +1

Employing numerical simulations, we provide an accurate insight into the of heat transfer mechanisms in the Rayleigh-Bénard convection of concentrated emulsions with finite-size dr…

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…

physics.comp-ph2023★ 3 cited

Comparison of effective and stable Langevin dynamics integrators

Bogdan Tanygin, Simone Melchionna

Langevin and Brownian simulations play a prominent role in computational research, and state of the art integration algorithms provide trajectories with different stability ranges…

cs.LG2023★ 7 cited

Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow

Maya Briani, Emiliano Cristiani, Elia Onofri

In this paper, we aim at developing new methods to join machine learning techniques and macroscopic differential models for vehicular traffic estimation and forecast. It is well kn…

gr-qc2023

Wedging spacetime principal null directions

D. Bini, A. Geralico, R. T. Jantzen

Taking wedge products of the distinct principal null directions associated with the eigen-bivectors of the Weyl tensor associated with the Petrov classification, when linearly…

cond-mat.soft2023★ 6 cited

Growth regimes in three-dimensional phase separation of liquid-vapor systems

Giuseppe Negro, Giuseppe Gonnella, Antonio Lamura +2

The liquid-vapor phase separation is investigated via lattice Boltzmann simulations in three dimensions. After expressing length and time scales in reduced physical units, we combi…

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…