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

492 citations

593 papers

cs.SI2026★ 5 cited

Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing

Alessandro Celestini, Francesca Colaiori, Stefano Guarino +2

Network--based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and s…

cond-mat.soft2026

Two-dimensional active polar semiflexible polymer under shear flow

A. Lamura, R. G. Winkler

The nonequilibrium structural and dynamical properties of semiflexible active polar polymers subject to linear flow are studied by numerical simulations. Filaments are confined in…

physics.flu-dyn2026

Schrödinger-Navier-Stokes equation for capillary fluids

Luca Salasnich, Simon Böhly, Sauro Succi +1

We highlight some properties of the Schrödinger-Navier-Stokes (SNS) equation [Salasnich, Succi, and Tiribocchi (2024)] of potential relevance for microfluidics and soft matter. Spe…

physics.soc-ph2026

Impact of behavioral heterogeneity on epidemic outcome and its mapping into effective network topologies

Fabio Mazza, Gabriele Ricci, Francesca Colaiori +3

Human behavior plays a critical role in shaping epidemic trajectories. During health crises, people respond in diverse ways in terms of self-protection and adherence to recommended…

physics.flu-dyn2026

Quantum vortex driven Kelvin wave in the thermal background of superfluid helium

Simone Scollo, Luca Galantucci, Giorgio Krstulovic

We present numerical evidence that Kelvin waves (KWs) on quantized vortices in superfluid helium can be directly observed in the normal fluid component at finite temperatures. Usin…

physics.soc-ph2025

Avalanches of choice: how stranger-to-stranger interactions shape crowd dynamics

Ziqi Wang, Alessandro Gabbana, Federico Toschi

Pedestrian routing choices play a crucial role in shaping collective crowd dynamics, yet the influence of interactions among unfamiliar individuals remains poorly understood. In th…

physics.flu-dyn2025★ 1 cited

Rayleigh-Bénard thermal convection in emulsions: a short review

Francesca Pelusi, Andrea Scagliarini, Mauro Sbragaglia +2

Thermally driven emulsions arise in a broad range of natural and industrial contexts, yet their fundamental physical understanding remains only partially established. Emulsions exh…

gr-qc2025

Cosmological and lunar laser ranging constraints on evolving dark energy in a nonminimally coupled curvature-matter gravity model

Riccardo March, Miguel Barroso Varela, Orfeu Bertolami +3

We analyze a cosmological solution to the field equations of a modified gravity model where curvature and matter are nonminimally coupled. The current Universe's accelerated expans…

cond-mat.soft2025

Dynamical behavior of compound vesicles in wall-bounded shear flow

A. Lamura

We report a numerical study addressing the dynamics of compound vesicles confined in a channel under shear flow. The system comprises a smaller vesicle embedded within a larger one…

cond-mat.soft2025

Phase segregation of liquid-vapor systems with a gravitational field

A. Lamura

Phase separation in the presence of external forces has attracted considerable attention since the initial works for solid mixtures. Despite this, only very few studies are availab…

physics.flu-dyn2025★ 2 cited

Role of interfacial stabilization in the Rayleigh-Bénard convection of liquid-liquid dispersions

Francesca Pelusi, Andrea Scagliarini, Mauro Sbragaglia +2

Based on mesoscale lattice Boltzmann numerical simulations, we characterize the Rayleigh-Bénard (RB) convective dynamics of dispersions of liquid droplets in another liquid phase.…

physics.flu-dyn2025★ 2 cited

Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

Xander de Wit, Alessandro Gabbana, Michael Woodward +3

The dynamics of Lagrangian particles in turbulence play a crucial role in mixing, transport, and dispersion in complex flows. Their trajectories exhibit highly non-trivial statisti…

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…

cs.RO2025

Noise-enabled goal attainment in crowded collectives

Lucy Liu, Justin Werfel, Federico Toschi +1

In crowded environments, individuals must navigate around other occupants to reach their destinations. Understanding and controlling traffic flows in these spaces is relevant for c…

math.DS2025

A general multi-stratum model for a nanofunctionalized releasing capsule: a computational study

Elia Onofri, Emiliano Cristiani, Andrea Martelli +3

Releasing capsules are widely employed in biomedical applications as smart carriers of therapeutic agents, including drugs and bioactive compounds. Such delivery vehicles typically…

physics.flu-dyn2025★ 1 cited

Tracking the rotation of light magnetic particles in turbulence

Chunlai Wu, Rudie P. J. Kunnen, Ziqi Wang +3

Particle-laden turbulence involves complex interactions between the dispersed and continuous phases. Given that particles can exhibit a wide range of properties, such as varying de…

cond-mat.stat-mech2025★ 1 cited

Microcanonical simulated annealing: Massively parallel Monte Carlo simulations with sporadic random-number generation

M. Bernaschi, C. Chilin, L. A. Fernandez +7

Numerical simulations of models and theories that describe complex systems such as spin glasses are becoming increasingly important. Beyond fundamental research, these computationa…

physics.flu-dyn2025

Stochastic resonance of rotating particles in turbulence

Ziqi Wang, Xander M. de Wit, Roberto Benzi +4

The chaotic dynamics of small-scale vorticity plays a key role in understanding and controlling turbulence, with direct implications for energy transfer, mixing, and coherent struc…

cs.LG2025★ 3 cited

Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques

Davide Moretti, Elia Onofri, Emiliano Cristiani

The increasing availability of traffic data from sensor networks has created new opportunities for understanding vehicular dynamics and identifying anomalies. In this study, we emp…

cond-mat.stat-mech2025★ 4 cited

Universal exotic dynamics in critical mesoscopic systems: Simulating the square root of Avogadro's number of spins

Mauro Bisson, Alexandros Vasilopoulos, Massimo Bernaschi +4

We explicitly demonstrate the universality of critical dynamics through unprecedented large-scale GPU-based simulations of two out-of-equilibrium processes, comparing the behavior…

physics.comp-ph2025★ 2 cited

Massive-Scale Simulations of 2D Ising and Blume-Capel Models on Rack-Scale Multi-GPU Systems

Mauro Bisson, Massimo Bernaschi, Massimiliano Fatica +4

We present high-performance implementations of the two-dimensional Ising and Blume-Capel models for large-scale, multi-GPU simulations. Our approach takes full advantage of the NVI…

physics.comp-ph2025★ 1 cited

Towards nonlinear thermohydrodynamic simulations via the Onsager-Regularized Lattice Boltzmann Method

Anirudh Jonnalagadda, Amit Agrawal, Atul Sharma +2

This work presents a generalized, assumption-free, and stencil-independent theoretical analyses of the recently proposed Onsager-Regularized (OReg) lattice Boltzmann (LB) method [J…

math.NA2024★ 1 cited

Mathematical modelling of the water absorption properties for historical lime-based mortars from Catania (Sicily, Italy)

Gabriella Bretti, Cristina M. Belfiore

In this paper we propose a mathematical model of the capillary and permeability properties of lime-based mortars from the historic built heritage of Catania (Sicily, Italy) produce…

stat.ML2024

Effective Non-Random Extreme Learning Machine

Daniela De Canditiis, Fabiano Veglianti

The Extreme Learning Machine (ELM) is a growing statistical technique widely applied to regression problems. In essence, ELMs are single-layer neural networks where the hidden laye…