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arXiv 1004.2370cond-mat.stat-mech
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线性聚合物动力学的随机格子模型

Stochastic lattice models for the dynamics of linear polymers

J. M. J. van Leeuwen, Andrzej Drzewinski

摘要:

线性聚合物被表示为跳跃的reptons链和他们的运动被描述为一个随机过程的晶格。这种公认的粗略近似仍然抓住了聚合物运动的基本物理学,即作为聚合物长度函数的普遍性质。动力学特性不仅取决于静态特性,还取决于运动规律。跳跃概率的微小变化可以导致不同的普遍行为。特别是罗斯动力学和爬行之间的交叉是由允许的跳跃的类型和强度控制的。的属性进行了分析,使用计算方案的基础上与一维自旋系统的类比。它导致中长聚合物的准确数据。这些外推到任意长的聚合物,通过有限尺寸缩放分析。指数和交叉功能的更新时间和扩散系数进行了讨论,为各种类型的运动。

英文摘要:

Linear polymers are represented as chains of hopping reptons and their motion is described as a stochastic process on a lattice. This admittedly crude approximation still catches essential physics of polymer motion, i.e. the universal properties as function of polymer length. More than the static properties, the dynamics depends on the rules of motion. Small changes in the hopping probabilities can result in different universal behavior. In particular the cross-over between Rouse dynamics and reptation is controlled by the types and strength of the hoppings that are allowed. The properties are analyzed using a calculational scheme based on an analogy with one-dimensional spin systems. It leads to accurate data for intermediately long polymers. These are extrapolated to arbitrarily long polymers, by means of finite-size-scaling analysis. Exponents and cross-over functions for the renewal time and the diffusion coefficient are discussed for various types of motion.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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