Anomalous diffusion in polydisperse granular gases: Monte Carlo simulations

Fuente: arXiv
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Autori principali: Bodrova, Anna S., Osinsky, Alexander I.
Natura: Preprint
Pubblicazione: 2024
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author Bodrova, Anna S.
Osinsky, Alexander I.
author_facet Bodrova, Anna S.
Osinsky, Alexander I.
contents We investigate both ensemble and time-averaged mean-squared displacements of particles in a polydisperse granular system in a homogeneous cooling state. The system contains an arbitrary number of species of different sizes and masses. The collisions between granular particles are described in terms of the models both of constant and time-dependent restitution coefficients. In our study, we use a powerful low-rank algorithm that allows for efficient simulation of highly polydisperse granular systems. The Monte Carlo simulations are in good agreement with the analytical results.
format Preprint
id arxiv_https___arxiv_org_abs_2403_13772
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Anomalous diffusion in polydisperse granular gases: Monte Carlo simulations
Bodrova, Anna S.
Osinsky, Alexander I.
Soft Condensed Matter
Statistical Mechanics
We investigate both ensemble and time-averaged mean-squared displacements of particles in a polydisperse granular system in a homogeneous cooling state. The system contains an arbitrary number of species of different sizes and masses. The collisions between granular particles are described in terms of the models both of constant and time-dependent restitution coefficients. In our study, we use a powerful low-rank algorithm that allows for efficient simulation of highly polydisperse granular systems. The Monte Carlo simulations are in good agreement with the analytical results.
title Anomalous diffusion in polydisperse granular gases: Monte Carlo simulations
topic Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2403.13772