中文
相关论文

相关论文: Lattice Monte Carlo Simulations of Polymer Melts

200 篇论文

An off-lattice Monte Carlo algorithm for solutions of equilibrium polymers (EP) is proposed. At low and moderate densities this is shown to reproduce faithfully the (static) properties found recently for flexible linear EP using a lattice…

统计力学 · 物理学 2009-10-31 A. Milchev , J. P. Wittmer , D. P. Landau

Recent developments of microscopic mechanical experiments allow the manipulation of individual polymer molecules in two main ways: \textit{uniform} stretching by external forces and \textit{non-uniform} stretching by external fields. Many…

生物物理 · 物理学 2015-06-11 Fabio Manca , Stefano Giordano , Pier Luca Palla , Fabrizio Cleri , Luciano Colombo

We propose new polymer models for Monte Carlo simulation and apply them to a polymer chain confined in a relatively thin box which has both curved and flat sides, and show that either an ideal or an excluded-volume chain spends more time in…

软凝聚态物质 · 物理学 2007-05-23 Y. Y. Suzuki , T. Dotera , M. Hirabayashi

We perform simulations for long hard-sphere polymer chains using a recently developed binary-tree based Monte Carlo method. Systems in two to five dimensions with free and periodic boundary conditions and up to $10^7$ repeat units are…

软凝聚态物质 · 物理学 2023-12-01 Stefan Schnabel , Wolfhard Janke

Local chain structure and local environment play an important role in the dynamics of polymer chains in miscible blends. In general, the friction coefficients that describe the segmental dynamics of the two components in a blend differ from…

软凝聚态物质 · 物理学 2009-11-11 Jutta Luettmer-Strathmann , Manjeera Mantina

We present here the systematic development of quantitative lattice simulations of dense polymers through a novel computational technique that allows for an efficient accounting of the chain conformations. Our approach is based on the…

软凝聚态物质 · 物理学 2008-05-06 Jaydeep A. Kulkarni , Joydeep Mukherjee , Ryan C. Snyder , Timothy W. King , Antony N. Beris

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

We report results of molecular-dynamics simulations of a model polymer melt consisting of short non-entangled chains in the supercooled state above the critical temperature of mode-coupling theory (MCT). To analyse the dynamics of the…

软凝聚态物质 · 物理学 2007-05-23 M. Aichele , J. Baschnagel

Monte Carlo simulations are used to study the behavior of two polymers under confinement in a cylindrical tube. Each polymer is modeled as a chain of hard spheres. We measure the free energy of the system, F, as a function of the distance…

软凝聚态物质 · 物理学 2015-06-22 James M. Polson , Logan G. Montgomery

In polymer physics it is typically assumed that excluded volume interactions are effectively screened in polymer melts. Hence, chains could be described by an effective random walk without excluded volume interactions. In this letter, we…

软凝聚态物质 · 物理学 2017-10-31 Hendrik Meyer , Eric Horwath , Peter Virnau

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

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

Several methods for preparing well equilibrated melts of long chains polymers are studied. We show that the standard method in which one starts with an ensemble of chains with the correct end-to-end distance arranged randomly in the…

软凝聚态物质 · 物理学 2009-11-10 Rolf Auhl , Ralf Everaers , Gary S. Grest , Kurt Kremer , Steven J. Plimpton

Monte Carlo simulations of coarse-grained polymers provide a useful tool to deepen the understanding of conformational and statistical properties of polymers both in physical as well as in biological systems. In this study we sample compact…

软凝聚态物质 · 物理学 2009-05-07 Manfred Bohn , Dieter W. Heermann

We report grand canonical Monte Carlo simulations of the critical point properties of homopolymers within the Bond Fluctuation model. By employing Configurational Bias Monte Carlo methods, chain lengths of up to N=60 monomers could be…

凝聚态物理 · 物理学 2009-10-28 N. B. Wilding , M. Mueller , K. Binder

Voids exist in proteins as packing defects and are often associated with protein functions. We study the statistical geometry of voids in two-dimensional lattice chain polymers. We define voids as topological features and develop a simple…

生物物理 · 物理学 2009-11-07 Jie Liang , Jinfeng Zhang , Rong Chen

By Monte Carlo simulations of a variant of the bond-fluctuation model without topological constraints we examine the center-of-mass (COM) dynamics of polymer melts in $d=3$ dimensions. Our analysis focuses on the COM displacement…

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

We have developed a technique to accelerate the acquisition of effectively uncorrelated configurations for off-lattice models of dense polymer melts which makes use of both parallel tempering and large scale Monte Carlo moves. The method is…

软凝聚态物质 · 物理学 2009-10-31 Alex Bunker , Burkhard Duenweg

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