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相关论文: Monte Carlo Simulation of Long Hard-Sphere Polymer…

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We propose an efficient Monte Carlo algorithm for the off-lattice simulation of dense hard sphere polymer melts using cluster moves, called event chains, which allow for a rejection-free treatment of the excluded volume. Event chains also…

软凝聚态物质 · 物理学 2015-09-24 Tobias Alexander Kampmann , Horst-Holger Boltz , Jan Kierfeld

In this paper we present a classical Monte Carlo simulation of the orthorhombic phase of crystalline polyethylene, using an explicit atom force field with unconstrained bond lengths and angles and periodic boundary conditions. We used a…

材料科学 · 物理学 2009-10-28 R. Martonak , W. Paul , K. Binder

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

Histogram-reweighting grand canonical Monte Carlo simulations are used to obtain the critical properties of lattice chains composed of solvophilic and solvophobic monomers. The model is a modification of one proposed by Larson \emph{et al.}…

软凝聚态物质 · 物理学 2024-06-18 Athanassios Z. Panagiotopoulos

We combine parallelization and cluster Monte Carlo for hard sphere systems and present a parallelized event chain algorithm for the hard disk system in two dimensions. For parallelization we use a spatial partitioning approach into…

统计力学 · 物理学 2014-12-18 Tobias Alexander Kampmann , Horst-Holger Boltz , Jan Kierfeld

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

It has been revealed by mean-field theories and computer simulations that the nature of the collapse transition of a polymer is influenced by its bending stiffness $\epsilon_{\rm b}$. In two dimensions, a recent analytical work demonstrated…

软凝聚态物质 · 物理学 2009-11-13 Jie Zhou , Zhong-Can Ou-Yang , Haijun Zhou

Single-chain Monte Carlo simulations of amphiphilic diblock star copolymers were carried out in continuous space using implicit solvents. Two distinct architectures were studied: stars with the hydrophobic blocks attached to the core, and…

软凝聚态物质 · 物理学 2009-11-10 Ronan Connolly , Edward G. Timoshenko , Yuri A. Kuznetsov

We introduce a Monte Carlo method, as a modification of existing cluster algorithms, which allows simulations directly on systems of infinite size, and for quantum models also at beta=infinity. All two-point functions can be obtained,…

统计力学 · 物理学 2007-05-23 H. G. Evertz , W. von der Linden

We describe and analyze some Monte Carlo methods for manifolds in Euclidean space defined by equality and inequality constraints. First, we give an MCMC sampler for probability distributions defined by un-normalized densities on such…

数值分析 · 数学 2017-09-21 Emilio Zappa , Miranda Holmes-Cerfon , Jonathan Goodman

When the local intrinsic stiffness of a polymer chain varies over a wide range, one can observe both a crossover from rigid-rod-like behavior to (almost) Gaussian random coils and a further crossover towards self-avoiding walks in good…

软凝聚态物质 · 物理学 2015-03-17 Hsiao-Ping Hsu , Wolfgang Paul , Kurt Binder

Monte Carlo simulations are used to study lattice gases of particles with extended hard cores on a two dimensional square lattice. Exclusions of one and up to five nearest neighbors (NN) are considered. These can be mapped onto hard squares…

统计力学 · 物理学 2007-05-23 Heitor C. Marques Fernandes , Jeferson J. Arenzon , Yan Levin

Some recent work pointed out the usefulness of taking a large-deviation perspective when trying to extract anything resembling a macroscopic order parameter from a computer simulation. In this paper we note that the end-to-end distance of…

软凝聚态物质 · 物理学 2026-03-20 Eleftherios Mainas , Jan Tobochnik , Richard Stratt

Multiblock copolymer chains in implicit nonselective solvents are studied by Monte Carlo method which employs a parallel tempering algorithm. Chains consisting of 120 $A$ and 120 $B$ monomers, arranged in three distinct microarchitectures:…

软凝聚态物质 · 物理学 2014-10-20 Krzysztof Lewandowski , Michal Banaszak

The endpoint distribution and dynamics of semiflexible fibers is studied by numerical simulation. A brief overview is given over the analytical theory of flexible and semiflexible polymers. In particular, a closed expression is given for…

软凝聚态物质 · 物理学 2013-06-13 Robert D. Groot

A new Monte Carlo approach is proposed to investigate the fluid-solid phase transition of the polydisperse system. By using the extended ensemble, a reversible path was constructed to link the monodisperse and corresponding polydisperse…

软凝聚态物质 · 物理学 2008-07-08 Mingcheng Yang , Hongru Ma

We report results of extensive Dynamical Monte Carlo investigations on self-assembled Equilibrium Polymers (EP) without loops in good solvent. (This is thought to provide a good model of giant surfactant micelles.) Using a novel algorithm…

软凝聚态物质 · 物理学 2009-10-31 J. P. Wittmer , A. Milchev , M. E. Cates

We report the results of extensive Dynamic Monte Carlo simulations of systems of self-assembled Equilibrium Polymers without rings in good solvent. Confirming recent theoretical predictions, the mean-chain length is found to scale as $\Lav…

软凝聚态物质 · 物理学 2009-10-31 J. P. Wittmer , A. Milchev , M. E. Cates

Bridging algorithms are global Monte Carlo moves which allow for an efficient sampling of single polymer chains. In this manuscript we discuss the adaptation of three bridging algorithms from lattice to continuum models, and give details on…

软凝聚态物质 · 物理学 2010-03-18 Daniel Reith , Peter Virnau

Continuum Monte-Carlo simulations at constant pressure are performed on short chain molecules at surfaces. The rodlike chains, consisting of seven effective monomers, are attached at one end to a flat twodimensional substrate. It is found…

凝聚态物理 · 物理学 2007-05-23 R. Hilfer , F. M. Haas