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

492 citations

Showing 2021Show all

32 papers · 1 filter

cond-mat.soft2021★ 8 cited

Tethered Semiflexible Polymer under Large Amplitude Oscillatory Shear

Antonio Lamura, Roland G. Winkler

The properties of a semiflexible polymer with fixed ends exposed to oscillatory shear flow are investigated by simulations. The two-dimensionally confined polymer is modeled as a l…

cond-mat.soft2021★ 3 cited

Sheared phase-separating binary mixtures with surface diffusion

G. Gonnella, A. Lamura

The phase-separation process of a binary mixture with order-parameter-dependent mobility under shear flow is numerically studied. The ordering is characterized by an alternate stre…

cond-mat.soft2021★ 9 cited

Wall-anchored semiflexible polymer under large amplitude oscillatory shear flow

Antonio Lamura, Roland G. Winkler, Gerhard Gompper

The properties of semiflexible polymers tethered by one end to an impenetrable wall and exposed to oscillatory shear flow are investigated by mesoscale simulations. A polymer, conf…

gr-qc2021★ 16 cited

Gravitomagnetic Helicity

Donato Bini, Bahram Mashhoon, Yuri N. Obukhov

Mass currents in astrophysics generate gravitomagnetic fields of enormous complexity. Gravitomagnetic helicity, in direct analogy with magnetic helicity, is a measure of entwining…

cond-mat.soft2021★ 2 cited

Shearing effects on the phase coarsening of binary mixtures using the Active Model B

A. Lamura, A. Tiribocchi

The phase separation of a two-dimensional active binary mixture is studied under the action of an applied shear through numerical simulations. It is highlighted how the strength of…

gr-qc2021★ 11 cited

Cassini and extra force constraints to nonminimally coupled gravity with screening mechanism

Riccardo March, Orfeu Bertolami, Marco Muccino +2

We consider a nonminimally coupled curvature-matter gravity theory at the Solar System scale. Both a fifth force of Yukawa type and a further non-Newtonian extra force that arises…

gr-qc2021★ 5 cited

Petrov type I spacetime curvature: principal null vector spanning dimension

Donato Bini, Andrea Geralico, Robert T. Jantzen

The class of Petrov type I curvature tensors is further divided into those for which the span of the set of distinct principal null directions has dimension four (maximally spannin…

physics.flu-dyn2021★ 9 cited

A quantitative comparison of physical accuracy and numerical stability of Lattice Boltzmann color gradient and pseudopotential multicomponent models for microfluidic applications

Karun P. N. Datadien, Gianluca Di Staso, Herman M. A. Wijshoff +1

The performances of the Color-Gradient (CG) and of the Shan-Chen (SC) multicomponent Lattice Boltzmann models are quantitatively compared side-by-side on multiple physical flow pro…

math.NA2021★ 5 cited

Nonlocal diffusion of variable order on complex networks

Daniele Bertaccini, Fabio Durastante

Some aspects of nonlocal dynamics on directed and undirected networks for an initial value problem whose Jacobian matrix is a variable-order fractional power of a Laplacian matrix…

physics.flu-dyn2021★ 14 cited

TLBfind: a Thermal Lattice Boltzmann code for concentrated emulsions with FINite-size Droplets

Francesca Pelusi, Matteo Lulli, Mauro Sbragaglia +1

In this paper, we present TLBfind, a GPU code for simulating the hydrodynamics of droplets along with a dynamic temperature field. TLBfind hinges on a two-dimensional multi-compone…

gr-qc2021★ 1 cited

Frequency domain analysis of the gravitational wave energy loss in hyperbolic encounters

Donato Bini, Andrea Geralico

The energy radiated (without the 1.5PN tail contribution which requires a different treatment) by a binary system of compact objects moving in a hyperboliclike orbit is computed in…

physics.flu-dyn2021★ 11 cited

Deformation and breakup dynamics of droplets within a tapered channel

Andrea Montessori, Michele La Rocca, Pietro Prestininzi +2

In this paper we numerically investigate the breakup dynamics of droplets in an emulsion flowing in a tapered microchannel with a narrow constriction. The mesoscale approach for mu…

gr-qc2021★ 23 cited

Higher-order tail contributions to the energy and angular momentum fluxes in a two-body scattering process

Donato Bini, Andrea Geralico

The need for more and more accurate gravitational wave templates requires taking into account all possible contributions to the emission of gravitational radiation from a binary sy…

math.OC2021★ 12 cited

A generalized mean-field game model for the dynamics of pedestrians with limited predictive abilities

Emiliano Cristiani, Arianna De Santo, Marta Menci

This paper investigates the model for pedestrian flow firstly proposed in [Cristiani et al., DOI:10.1137/140962413]. The model assumes that each individual in the crowd moves in a…

cond-mat.soft2021★ 12 cited

Tracking droplets in soft granular flows with deep learning techniques

Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3

The state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulati…

gr-qc2021★ 115 cited

Radiative contributions to gravitational scattering

Donato Bini, Thibault Damour, Andrea Geralico

The linear-order effects of radiation-reaction on the classical scattering of two point masses, in General Relativity, are derived by a variation-of-constants method. Explicit expr…

physics.flu-dyn2021★ 20 cited

Friction-enhanced lifetime of bundled quantum vortices

Luca Galantucci, Giorgio Krstulovic, Carlo F. Barenghi

Experiments in the early 1980s have shown that a compact bundle of quantum vortex rings in superfluid helium remains coherent and travels a significant distance compared to its siz…

math.NA2021★ 20 cited

A non-standard numerical scheme for an age-of-infection epidemic model

Eleonora Messina, Mario Pezzella, Antonia Vecchio

We propose a numerical method for approximating integro-differential equations arising in age-of-infection epidemic models. The method is based on a non-standard finite differences…

math.DS2021★ 4 cited

Macroscopic and multi-scale models for multi-class vehicular dynamics with uneven space occupancy: a case study

Maya Briani, Emiliano Cristiani, Paolo Ranut

In this paper we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models…

math.NA2021

Angle dependence in coupling conditions for shallow water equations at canal junctions

Maya Briani, Gabriella Puppo, Magali Ribot

In this paper we propose a numerical Riemann problem solver at the junction of one dimensional shallow-water canal networks. The junction conditions take into account the angles wi…

physics.comp-ph2021★ 7 cited

Mass-Zero constrained dynamics and statistics for the shell model in magnetic field

David D. Girardier, Alessandro Coretti, Giovanni Ciccotti +1

In several domains of physics, including first principle simulations and classical models for polarizable systems, the minimization of an energy function with respect to a set of a…

cond-mat.soft2021★ 10 cited

Rheology of active emulsions with negative effective viscosity

Ilario Favuzzi, Livio Nicola Carenza, Federico Corberi +3

We numerically study by lattice Boltzmann simulations the rheological properties of an active emulsion made of a suspension of an active polar gel embedded in an isotropic passive…

cond-mat.soft2021★ 13 cited

Shear dynamics of polydisperse double emulsions

A. Tiribocchi, A. Montessori, F. Bonaccorso +2

We numerically study the dynamics of a polydisperse double emulsion under a symmetric shear flow. We show that both dispersity and shear rate crucially affect the behavior of the i…

cond-mat.soft2021★ 23 cited

A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions

Mihir Durve, Fabio Bonaccorso, Andrea Montessori +3

We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to cor…