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Particle-particle interactions in sedimenting systems have been investigated in the present study considering the many-body hydrodynamic and electrodynamic interactions. These interactions primarily occur in two modes: near-field and…

流体动力学 · 物理学 2016-05-04 Sagardip Majumder , Jayabrata Dhar , Suman Chakraborty

In recent years dynamical systems (of deterministic and stochastic nature), describing many models in mathematics, physics, engineering and finances, become more and more complex. Numerical analysis narrowed only to deterministic algorithms…

数值分析 · 数学 2024-02-13 Paweł Przybyłowicz

Event-Chain Monte Carlo (ECMC) methods generate continuous-time and non-reversible Markov processes which often display significant accelerations compared to reversible counterparts. However their generalization to any system may appear…

统计力学 · 物理学 2025-09-18 Tristan Guyon , Arnaud Guillin , Manon Michel

Molecular Dynamic (MD) approach is applied to study the converging cylindrical shock waves in a dense Lennard-Jones (LJ) fluid. MD method is based on tracking of the atom motions and hence it has an fundamental advantages over hydrodynamic…

计算物理 · 物理学 2009-04-23 V. Zhakhovskii , K. Nishihara , M. Abe

Smoothed Dissipative Particle Dynamics (SDPD) is a mesoscopic method which allows to select the level of resolution at which a fluid is simulated. The aim of this work is to extend SDPD to chemically reactive systems.To this end, an…

流体动力学 · 物理学 2017-09-13 Gérôme Faure , Jean-Bernard Maillet

In this paper, we explore osmotic transport by means of molecular dynamics (MD) simulations. We first consider osmosis through a membrane, and investigate the reflection coefficient of an imperfectly semi-permeable membrane, in the dilute…

介观与纳米尺度物理 · 物理学 2017-05-18 Hiroaki Yoshida , Sophie Marbach , Lydéric Bocquet

We present a novel approach to investigate the long-time stochastic dynamics of multi-dimensional classical systems, in contact with a heat-bath. When the potential energy landscape is rugged, the kinetics displays a decoupling of short and…

软凝聚态物质 · 物理学 2013-05-29 O. Corradini , P. Faccioli , H. Orland

Two coarse-grained models for polymer chains in dense glass-forming polymer melts are studied by computer simulation: the bond-fluctuation model on a simple cubic lattice, where a bond-length potential favors long bonds, is treated by…

软凝聚态物质 · 物理学 2007-05-23 K. Binder , J. Baschnagel , C. Bennemann , W. Paul

A Monte Carlo (MC) simulation method based on the Gillespie algorithm is developed for the polymerization of branched polyetherimides from two back-bone monomers [4,4'-bisphenol A dianhydride (BPADA) and m-phenylenediamine (MPD)], a chain…

软凝聚态物质 · 物理学 2023-04-05 Chengyuan Wen , Roy Odle , Shengfeng Cheng

We analyzed extensively the dynamics of polymer chains in solutions simulated with dissipative particle dynamics (DPD), with a special focus on the potential influence of a low Schmidt number of a typical DPD fluid on the simulated polymer…

软凝聚态物质 · 物理学 2009-11-11 W. Jiang , J. Huang , Y. Wang , M. Laradji

We present a new reduced-order computational method for the molecular dynamics simulation of entangled polymer systems. The polymer chains are modeled as continuous Gaussian chains. Our algorithm is based on the application of the molecular…

软凝聚态物质 · 物理学 2020-09-02 Aruna Mohan , GH Fredrickson

We study statistical model checking of continuous-time stochastic hybrid systems. The challenge in applying statistical model checking to these systems is that one cannot simulate such systems exactly. We employ the multilevel Monte Carlo…

系统与控制 · 计算机科学 2017-06-27 Sadegh Esmaeil Zadeh Soudjani , Rupak Majumdar , Tigran Nagapetyan

We extend the event-chain Monte Carlo algorithm from hard-sphere interactions to the micro-canonical ensemble (constant potential energy) for general potentials. This event-driven Monte Carlo algorithm is non-local, rejection-free, and…

统计力学 · 物理学 2022-08-31 Etienne P. Bernard , Werner Krauth

We propose a method for multi-scale hybrid simulations of molecular dynamics (MD) and computational fluid dynamics (CFD). In the method, usual lattice-mesh based simulations are applied for CFD level, but each lattice is associated with a…

软凝聚态物质 · 物理学 2014-01-20 Shugo Yasuda , Ryoichi Yamamoto

We present an efficient parallel algorithm for statistical Molecular Dynamics simulations of ion tracks in solids. The method is based on the Rare Event Enhanced Domain following Molecular Dynamics (REED-MD) algorithm, which has been…

计算物理 · 物理学 2009-05-04 Byoungseon Jeon , Niels Grønbech-Jensen

We employ two different atomistic methods to investigate solute-defect interactions in nanosized palladium-hydrogen (Pd-H) systems across multiple time scales. The first method, referred to as Diffusive Molecular Dynamics (DMD), focuses on…

材料科学 · 物理学 2023-10-06 Xingsheng Sun

Multi-color Stochastic Rotation Dynamics (SRDmc) has been introduced by Inoue et al. as a particle based simulation method to study the flow of emulsion droplets in non-wetting microchannels. In this work, we extend the multi-color method…

软凝聚态物质 · 物理学 2020-05-11 Thomas Hiller , Marta Sanchez de La Lama , Martin Brinkmann

A stochastic model for the dynamics of enzymatic catalysis in explicit, effective solvents under physiological conditions is presented. Analytically-computed first passage time densities of a diffusing particle in a spherical shell with…

生物大分子 · 定量生物学 2015-06-04 Jeremy Schofield , Paul Inder , Raymond Kapral

We examine the phase transition of polymer adsorption as well as the underlying kinetics of polymer binding from dilute solutions on a structureless solid surface. The emphasis is put on the properties of regular multiblock copolymers,…

软凝聚态物质 · 物理学 2009-09-03 A. Milchev , V. Rostiashvili , S. Bhattacharya , T. Vilgis

We develop a novel multilevel asymptotic-preserving Monte Carlo method, called Multilevel Kinetic-Diffusion Monte Carlo (ML-KDMC), for simulating the kinetic Boltzmann transport equation with a Bhatnagar-Gross-Krook (BGK) collision…

数值分析 · 数学 2020-10-23 Bert Mortier , Pieterjan Robbe , Martine Baelmans , Giovanni Samaey