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相关论文: Monte Carlo simulation of granular fluids

200 篇论文

Multiparticle collision dynamics (MPC), a particle-based mesoscale simulation technique for com- plex fluid, is widely employed in non-equilibrium simulations of soft matter systems. To maintain a defined thermodynamic state, thermalization…

软凝聚态物质 · 物理学 2015-03-30 Chien-Cheng Huang , Anoop Varghese , Gerhard Gompper , Roland G. Winkler

A variant of the Direct Simulation Monte Carlo method is used to study the behavior of a granular gas, in two and three dimensions, under varying density, restitution coefficient, and inelasticity regimes, for realistic vibrating wall…

介观与纳米尺度物理 · 物理学 2009-11-07 Welles A. M. Morgado , Eduardo R. Mucciolo

The phase separation of a simple binary mixture of incompatible linear polymers in solution is investigated using an extension of the sedimentation equilibrium method, whereby the osmotic pressure of the mixture is extracted from the…

软凝聚态物质 · 物理学 2009-09-29 Chris I. Addison , Pierre-Arnaud Artola , Jean-Pierre Hansen , Ard A. Louis

In this work a replica exchange Monte Carlo scheme which considers an extended isobaric-isothermal ensemble with respect to pressure is applied to study hard spheres (HS). The idea behind the proposal is expanding volume instead of…

统计力学 · 物理学 2015-05-20 Gerardo Odriozola

New hybrid Molecular Dynamics-Monte Carlo methods are proposed to increase the efficiency of constant-pressure simulations. Two variations of the isobaric Molecular Dynamics component of the algorithms are considered. In the first, we use…

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

Monte Carlo simulations are widely employed to measure the physical properties of glass-forming liquids in thermal equilibrium. Combined with local Monte Carlo moves, the Metropolis algorithm can also be used to simulate the relaxation…

统计力学 · 物理学 2024-09-23 Ludovic Berthier , Federico Ghimenti Frédéric van Wijland

Two different kinetic theories [J. Solsvik and E. Manger (SM-theory), Phys. Fluids \textbf{33}, 043321 (2021) and V. Garz\'o, J. W. Dufty, and C. M. Hrenya (GDH-theory), Phys. Rev. E \textbf{76}, 031303 (2007)] are considered to determine…

统计力学 · 物理学 2023-02-23 Moisés García Chamorro , Vicente Garzó

A possible approximate route to obtain the equation of state of the monodisperse hard-sphere system in the metastable fluid region from the knowledge of the equation of state of a hard-sphere mixture at high densities is discussed. The…

软凝聚态物质 · 物理学 2011-11-11 Andrés Santos , Santos B. Yuste , Mariano López de Haro

The temporal evolution of a dilute granular gas, both in a compressible flow (uniform longitudinal flow) and in an incompressible flow (uniform shear flow), is investigated by means of the direct simulation Monte Carlo method to solve the…

软凝聚态物质 · 物理学 2015-03-19 Antonio Astillero , Andrés Santos

The investigation of freezing transitions of single polymers is computationally demanding, since surface effects dominate the nucleation process. In recent studies we have systematically shown that the freezing properties of flexible,…

软凝聚态物质 · 物理学 2012-07-18 Stefan Schnabel , Michael Bachmann , Wolfhard Janke

Monte Carlo simulation provides a powerful tool for understanding and exploring thermodynamic phase equilibria in many-particle interacting systems. Among the most physically intuitive simulation methods is Gibbs ensemble Monte Carlo…

统计力学 · 物理学 2015-06-12 Alan R. Denton , Michael P. Schmidt

The homogeneous steady state of a fluid of inelastic hard spheres immersed in a bath of elastic hard spheres kept at equilibrium is analyzed by means of the first Sonine approximation to the (spatially homogeneous) Enskog--Boltzmann…

统计力学 · 物理学 2007-05-23 Andres Santos

A method based on the simple shear flow modified by the introduction of a deterministic non-conservative force and a stochastic process is proposed to measure the Navier-Stokes shear viscosity in a granular fluid described by the Enskog…

统计力学 · 物理学 2014-11-10 J. M. Montanero , A. Santos , V. Garzo

Many features of granular media can be modeled by a fluid of hard spheres with inelastic collisions. Under rapid flow conditions, the macroscopic behavior of grains can be described through hydrodynamic equations accounting for dissipation…

统计力学 · 物理学 2007-05-23 V. Garzo , J. W. Dufty

A granular gas composed of inelastic hard spheres or disks in the homogeneous cooling state is considered. Some of the particles are labeled and their number density exhibits a time-independent linear profile along a given direction. As a…

统计力学 · 物理学 2015-06-18 J. Javier Brey , M. J. Ruiz-Montero

We develop a Monte Carlo simulation method for computing stationary solutions of the general-relativistic Vlasov equation describing a gas of non-colliding particles. As specific examples, we select planar or spherically symmetric accretion…

广义相对论与量子宇宙学 · 物理学 2023-10-13 Patryk Mach , Adam Cieślik , Andrzej Odrzywolek

We perform Monte Carlo simulations of stationary planar accretion of a collisionless gas onto a moving Schwarzschild black hole. In this work -- a sequel to our previous paper on the Monte Carlo method for stationary general-relativistic…

广义相对论与量子宇宙学 · 物理学 2024-06-10 Adam Cieślik , Patryk Mach , Andrzej Odrzywolek

The Direct Simulation Monte Carlo (DSMC) method, developed originally to calculate rarefied gas dynamical problems, is applied to continuous flow including shocks assuming that the Knudsen number is sufficiently small. In particular, we…

天体物理学 · 物理学 2007-05-23 Takuya Matsuda , Hiromi Mizutani , Henri. M. J. Boffin

Granular systems confined in a shallow box and driven by vertical vibration provide a simple geometry to study fluidized granular media. Grains gain kinetic energy vertically through collisions with the walls and redistribute it…

软凝聚态物质 · 物理学 2026-04-21 Ricardo Brito , Rodrigo Soto , Vicente Garzó

A new approach to simulation of stationary flows by Direct Simulation Monte Carlo method is proposed. The idea is to specify an individual time step for each component of a gas mixture. The approach consists of modifications mainly to…

计算物理 · 物理学 2016-08-24 Roman V. Maltsev