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相关论文: Monte Carlo simulation of granular fluids

200 篇论文

Mass transport of a driven granular binary mixture is analyzed from the inelastic Boltzmann kinetic equation for inelastic Maxwell models (IMM). The mixture is driven by a thermostat constituted by two terms: a stochastic force and a drag…

统计力学 · 物理学 2018-09-18 Nagi Khalil , Vicente Garzó

We describe a hybrid Direct Simulation Monte Carlo (DSMC) code for simultaneously solving the collisional Boltzmann equation for gas and the collisionless Boltzmann equation for stars and dark matter for problems important to galaxy…

天体物理仪器与方法 · 物理学 2015-06-15 Martin D. Weinberg

In this paper we propose a novel numerical approach for the Boltzmann equation with uncertainties. The method combines the efficiency of classical direct simulation Monte Carlo (DSMC) schemes in the phase space together with the accuracy of…

数值分析 · 数学 2020-10-28 Lorenzo Pareschi , Mattia Zanella

In a recent publication [Phys. Rev. E \textbf{83}, 011301 (2011)], Vollmayr--Lee \emph{et al.} have determined by computer simulations the thermal diffusivity and the longitudinal viscosity coefficients of a driven granular fluid of hard…

统计力学 · 物理学 2015-05-28 Vicente Garzó

Many important properties of granular fluids can be represented by a system of hard spheres with inelastic collisions. Traditional methods of nonequilibrium statistical mechanics are effective for analysis and description of the inelastic…

软凝聚态物质 · 物理学 2009-11-07 James W. Dufty , J. Javier Brey , James Lutsko

A collisional model of a confined quasi-two-dimensional granular mixture is considered to analyze homogeneous steady states. The model includes an effective mechanism to transfer the kinetic energy injected by vibration in the vertical…

统计力学 · 物理学 2020-12-30 Ricardo Brito , Rodrigo Soto , Vicente Garzó

We propose a model to study symmetric binary fluids, based in the mesoscopic molecular simulation technique known as multiparticle collision, where space and state variables are continuous while time is discrete. We include a repulsion rule…

适应与自组织系统 · 物理学 2016-06-22 C. Echeverria , K. Tucci , O. Alvarez-Llamoza , E. E. Orozco-Guillén , M. Morales , M. G. Cosenza

A kinetic theory for moderately dense gases of inelastic and rough spherical molecules is developed from the Enskog equation where a macroscopic state is characterized by 29 scalar fields which correspond to the moments of the distribution…

统计力学 · 物理学 2024-08-02 Gilberto M. Kremer

Granular gaseous mixtures under rapid flow conditions are usually modeled by a multicomponent system of smooth inelastic hard spheres with constant coefficients of normal restitution. In the low density regime an adequate framework is…

统计力学 · 物理学 2009-11-13 Francisco Vega Reyes , Vicente Garzo , Andres Santos

In this paper the application of the multi-level Monte Carlo (MLMC) method on numerical simulations of turbulent flows with uncertain parameters is investigated. Several strategies for setting up the MLMC method are presented, and the…

统计计算 · 统计学 2016-08-22 Qingsha Chen , Ju Ming

A Monte Carlo method based on a density-of-states sampling is proposed for study of arbitrary statistical mechanical ensembles in a continuum. A random walk in the two-dimensional space of particle number and energy is used to estimate the…

软凝聚态物质 · 物理学 2009-11-07 Qiliang Yan , Roland Faller , Juan J. de Pablo

The transport coefficients of a granular fluid driven by a stochastic bath with friction are obtained by solving the inelastic Enskog kinetic equation from the Chapman-Enskog method. The heat and momentum fluxes as well as the cooling rate…

统计力学 · 物理学 2017-01-05 V. Garzó , M. G. Chamorro , F. Vega Reyes

Recently the general form of a translation-covariant quantum Boltzmann equation has been derived which describes the dynamics of a tracer particle in a quantum gas. We develop a stochastic wave function algorithm that enables full…

量子物理 · 物理学 2007-09-24 Heinz-Peter Breuer , Bassano Vacchini

The Direct Simulation Monte Carlo (DSMC) method is widely employed for simulating rarefied nonequilibrium gas flows. With advances in aerospace engineering and micro/nano-scale technologies, gas flows exhibit the coexistence of rarefied and…

计算物理 · 物理学 2025-07-01 Hao Jin , Sha Liu , Sirui Yang , Junzhe Cao , Congshan Zhuo , Chengwen Zhong

Monte Carlo simulations are performed to study the in-plane transport of spin-polarized electrons in III-V semiconductor quantum wells. The density matrix description of the spin polarization is incorporated in the simulation algorithm. The…

介观与纳米尺度物理 · 物理学 2010-09-22 Min Shen , Semion Saikin , Ming-C. Cheng , Vladimir Privman

We present in this work results from numerical solutions, obtained by means of the direct simulation Monte Carlo (DSMC) method, of the Boltzmann and Boltzmann--Lorentz equations for an impurity immersed in a granular gas under planar…

软凝聚态物质 · 物理学 2011-07-14 F Vega Reyes , A Santos , V Garzó

With the guidance offered by nonequilibrium statistical thermodynamics, simulation techniques are elevated from brute-force computer experiments to systematic tools for extracting complete, redundancy-free and consistent coarse grained…

统计力学 · 物理学 2018-03-09 Hans Christian Öttinger

We propose a new Monte Carlo scheme to study the late-time dynamics of a 2-dim hard sphere fluid, modeled by a tethered network of hard spheres. Fluidity is simulated by breaking and reattaching the flexible tethers. We study the diffusion…

凝聚态物理 · 物理学 2007-05-23 P. B. Sunil Kumar , Madan Rao

We study the dynamics of a 2d driven inelastic gas, by means of Direct Simulation Monte Carlo (DSMC) techniques, i.e. under the assumption of Molecular Chaos. Under the effect of a uniform stochastic driving in the form of a white noise…

统计力学 · 物理学 2009-11-07 A. Puglisi , A. Baldassarri , V. Loreto

Monte Carlo simulations at constant pressure are performed to study coexistence and interfacial properties of the liquid-solid transition in hard spheres and in colloid-polymer mixtures. The latter system is described as a one-component…

软凝聚态物质 · 物理学 2015-05-18 T. Zykova-Timan , J. Horbach , K. Binder