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相关论文: Relaxation time approximations in PAOFLOW 2.0

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An alternative representation of an exact statistical field theory for simple fluids, based on the method of collective variables, is presented. The results obtained are examined from the point of another version of theory that was…

统计力学 · 物理学 2009-11-11 Jean-Michel Caillol , Oksana Patsahan , Ihor Mryglod

We resolve a long standing question regarding the suitable effective diffusion coefficient of the spherically-symmetric transport equation, which is valid at long times. To that end, we generalize a transport solution in three dimensions…

统计力学 · 物理学 2024-02-01 Shay I. Heizler , Menahem Krief , Michael Assaf

Cross-plane heat transport in thin films with thickness comparable to the phonon mean free paths is of both fundamental and practical interest. However, physical insight is difficult to obtain for the cross-plane geometry due to the…

介观与纳米尺度物理 · 物理学 2014-10-13 Chengyun Hua , Austin J. Minnich

In audio signal processing, probabilistic time-frequency models have many benefits over their non-probabilistic counterparts. They adapt to the incoming signal, quantify uncertainty, and measure correlation between the signal's amplitude…

信号处理 · 电气工程与系统科学 2019-02-13 William J. Wilkinson , Michael Riis Andersen , Joshua D. Reiss , Dan Stowell , Arno Solin

In this paper, three-dimensional (3D) multi-relaxation time (MRT) lattice-Boltzmann (LB) models for multiphase flow are presented. In contrast to the Bhatnagar-Gross-Krook (BGK) model, a widely employed kinetic model, in MRT models the…

计算物理 · 物理学 2015-06-26 Kannan N. Premnath , John Abraham

The transport coefficients for a gas of smooth, inelastic hard spheres are obtained from the Boltzmann equation in the form of Green-Kubo relations. The associated time correlation functions are not simply those constructed from the fluxes…

统计力学 · 物理学 2015-06-24 James W. Dufty , J. Javier Brey

Lattice-Boltzmann (LB) simulations are a common tool to numerically estimate the permeability of porous media. For valuable results, the porous structure has to be well resolved resulting in a large computational effort as well as high…

流体动力学 · 物理学 2011-09-16 Ariel Narváez , Jens Harting

This paper aims at quantitatively understanding the elastic wave scattering due to negative metamaterial structures under wide-band signals in the time domain. Specifically, we establish the modal expansion for the time-dependent field…

偏微分方程分析 · 数学 2022-04-12 Bochao Chen , Yixian Gao , Hongyu Liu

The parallel solver of the general synthetic iterative scheme (GSIS), as recently developed by Zhang \textit{et. al.} in Comput. Fluids 281 (2024) 106374, is an efficient method to find the solution of the Boltzmann equation…

计算物理 · 物理学 2025-01-07 Yanbing Zhang , Jianan Zeng , Lei Wu

The transport coefficients of a dilute classical gas in the presence of a drag force proportional to the velocity of the particle are determined from the Boltzmann equation. The viscous drag force could model the friction of solid particles…

统计力学 · 物理学 2015-06-18 José Carlos Pérez-Fuentes , Vicente Garzó

Route-level travel time reliability requires characterizing the distribution of total travel time across correlated segments -- a problem where existing methods either assume independence (fast but miscalibrated) or model dependence via…

应用统计 · 统计学 2026-02-10 Vadim Sokolov , Refik Soyer

Rooted from the gas kinetics, the lattice Boltzmann method is a powerful tool in modeling hydrodynamics. In the past decade, it has been extended to simulate the rarefied gas flow beyond the Navier-Stokes level, either by using the…

流体动力学 · 物理学 2017-08-30 Scott Lindsay , Wei Su , Haihu Liu , Lei Wu

We introduce the stochastic Boltzmann equation (SBE) as an approach for exploring the spin dynamics of magnetic molecules coupled to a stochastic environment. The SBE is a time-evolution equation for the probability density of the spin…

材料科学 · 物理学 2016-03-15 Daniel M. Packwood , Helmut G. Katzgraber , Winfried Teizer

In this paper, we consider queueing systems where the dynamics are non-stationary and state-dependent. For performance analysis of these systems, fluid and diffusion models have been typically used. Although they are proven to be…

概率论 · 数学 2016-09-08 Young Myoung Ko , Natarajan Gautam

We investigate the formation and transport of gas bubbles across a model porous catalyst/electrode using lattice Boltzmann simulations. This approach enables us to systematically examine the influence of a wide range of morphologies, flow…

软凝聚态物质 · 物理学 2024-04-29 Thomas Scheel , Paolo Malgaretti , Jens Harting

Based on the phonon Boltzmann transport equation under the relaxation time approximation, analytical expressions for the temperature profiles of both steady state and modulated heat conduction inside a thin film deposited on a substrate are…

介观与纳米尺度物理 · 物理学 2015-09-02 Jose Ordonez-Miranda , Ronggui Yang , Sebastian Volz , J. J. Alvarado-Gil

We evaluate the electrical conductivity and shear viscosity of a interacting pion gas in a thermo-magnetic medium using the kinetic theory. The collision term of the relativistic Boltzmann transport equation in presence of background…

核理论 · 物理学 2024-03-26 Pallavi Kalikotay , Snigdha Ghosh , Nilanjan Chaudhuri , Pradip Roy , Sourav Sarkar

A method is described for calculating corrections to the Boltzmann/Chapman-Enskog analysis of lattice gases due to the buildup of correlations. It is shown that renormalized transport coefficients can be calculated perturbatively by summing…

comp-gas · 物理学 2008-02-03 Bruce M. Boghosian , Washington Taylor

In this paper we present a relativistic Shakhov-type generalization of the Anderson-Witting relaxation time model for the Boltzmann collision integral. The extension is performed by modifying the path on which the distribution function…

核理论 · 物理学 2024-09-10 Victor E. Ambruş , David Wagner

The paper addresses a two-temperature model for simulating compressible two-phase flow taking into account diffusion processes related to the heat conduction and viscosity of the phases. This model is reduced from the two-phase…

数值分析 · 数学 2022-07-27 Chao Zhang , Igor Menshov , Lifeng Wang , Zhijun Shen