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An implicit Euler finite-volume scheme for a cross-diffusion system modeling biofilm growth is analyzed by exploiting its formal gradient-flow structure. The numerical scheme is based on a two-point flux approximation that preserves the…

数值分析 · 数学 2020-01-28 Esther S. Daus , Ansgar Jüngel , Antoine Zurek

The first paper of this series [J. Chem. Phys. 158, 034103 (2023)] demonstrated that excess entropy scaling holds for both fine-grained and corresponding coarse-grained (CG) systems. Despite its universality, a more exact determination of…

化学物理 · 物理学 2023-01-18 Jaehyeok Jin , Kenneth S. Schweizer , Gregory A. Voth

In this paper, using an algorithm based on the retrospective rejection sampling scheme, we propose an exact simulation of a Brownian diffusion whose drift admits several jumps. We treat explicitly and extensively the case of two jumps,…

概率论 · 数学 2016-05-27 David Dereudre , Sara Mazzonetto , Sylvie Roelly

Using the scheme of mesoscopic nonequilibrium thermodynamics, we construct the one- and two- particle Fokker-Planck equations for a system of interacting Brownian particles. By means of these equations we derive the corresponding balance…

软凝聚态物质 · 物理学 2009-11-07 M. Mayorga , L. Romero-Salazar , J. M. Rubi

We prove the existence of solutions of a cross-diffusion parabolic population problem. The system of partial differential equations is deduced as the limit equations satisfied by the densities corresponding to an interacting particles…

偏微分方程分析 · 数学 2024-01-29 Gonzalo Galiano , Virginia Selgas

A new method is proposed to numerically extract the diffusivity of a (typically nonlinear) diffusion equation from underlying stochastic particle systems. The proposed strategy requires the system to be in local equilibrium and have…

统计力学 · 物理学 2018-05-09 Peter Embacher , Nicolas Dirr , Johannes Zimmer , Celia Reina

In recent work [1] we uncovered intriguing connections between Otto's characterisation of diffusion as entropic gradient flow [16] on one hand and large-deviation principles describing the microscopic picture (Brownian motion) on the other.…

偏微分方程分析 · 数学 2014-03-05 Stefan Adams , Nicolas Dirr , Mark A. Peletier , Johannes Zimmer

We derive an analytical pair potential of mean force for Brownian molecules in the liquid-state. Our approach accounts for many-particle correlations of crowding particles of the liquid, and for diffusive transport across the spatially…

软凝聚态物质 · 物理学 2012-06-21 Alessio Zaccone , Eugene M. Terentjev

In this contribution we obtain partial $C^{0,\alpha}$-regularity for bounded solutions of a certain class of cross-diffusion systems, which are strongly coupled, degenerate quasilinear parabolic systems. Under slightly more restrictive…

偏微分方程分析 · 数学 2021-12-30 Marcel Braukhoff , Claudia Raithel , Nicola Zamponi

We study the problem of particles undergoing Brownian motion in an expanding sphere whose surface is an absorbing boundary for the particles. The problem is akin to that of the diffusion of impurities in a grain of polycrystalline material…

统计力学 · 物理学 2009-11-13 Karl Forsberg , Ali R. Massih

We consider two interacting particles on the circle. The particles are subject to stochastic forcing, which is modeled by white noise. In addition, one of the particles is subject to friction, which models energy dissipation due to the…

概率论 · 数学 2025-10-29 Dmitry Dolgopyat , Bassam Fayad , Leonid Koralov , Shuo Yan

It is generally believed that collisions of particles reduce the self-diffusion coefficient. Here we show that in odd-diffusive systems, which are characterized by diffusion tensors with antisymmetric elements, collisions surprisingly can…

统计力学 · 物理学 2022-09-14 Erik Kalz , Hidde Derk Vuijk , Iman Abdoli , Jens-Uwe Sommer , Hartmut Löwen , Abhinav Sharma

This paper presents a novel formula for the transition density of the Brownian motion on a sphere of any dimension and discusses an algorithm for the simulation of the increments of the spherical Brownian motion based on this formula. The…

统计力学 · 物理学 2025-04-01 Aleksandar Mijatović , Veno Mramor , Gerónimo Uribe Bravo

We study asymptotic error distributions associated with standard approximation scheme for one-dimensional stochastic differential equations driven by fractional Brownian motions. This problem was studied by, for instance, Gradinaru-Nourdin…

概率论 · 数学 2019-11-27 Shigeki Aida , Nobuaki Naganuma

Consider a system of infinitely many Brownian particles on the real line. At any moment, these particles can be ranked from the bottom upward. Each particle moves as a Brownian motion with drift and diffusion coefficients depending on its…

概率论 · 数学 2016-09-06 Andrey Sarantsev

Computer simulations are used to test whether a recently introduced generalization of Rosenfeld's excess-entropy scaling method for estimating transport coefficients in systems obeying molecular dynamics can be extended to predict long-time…

软凝聚态物质 · 物理学 2011-10-13 Mark J. Pond , Jeffrey R. Errington , Thomas M. Truskett

The diffusion and flow of amorphous materials, such as glasses and granular materials, has resisted a simple microscopic description, analogous to defect theories for crystals. Early models were based on either gas-like inelastic collisions…

统计力学 · 物理学 2007-05-23 Martin Z. Bazant

Starting from a particle model describing self-propelled particles interacting through nematic alignment, we derive a macroscopic model for the particle density and mean direction of motion. We first propose a mean-field kinetic model of…

数学物理 · 物理学 2019-10-08 Pierre Degond , Sara Merino-Aceituno

Diffusion-a measure of dynamics, and entropy-a measure of disorder in the system, are found to be intimately correlated in many systems, and the correlation is often strongly non-linear. We explore the origin of this complex dependence by…

软凝聚态物质 · 物理学 2015-12-09 Kazuhiko Seki , Biman Bagchi

In this work we establish a link between two different phenomena that were studied in a large and growing number of biological, composite and soft media: the diffusion in compartmentalized environment and the Brownian yet non-Gaussian…

统计力学 · 物理学 2020-08-05 Jakub Ślęzak , Stanislav Burov