蒙特卡罗算法在聚合物链离晶格模型中的应用比较

Aleksander Kuriata, D. Gront, A. Sikorski
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引用次数: 0

摘要

我们设计了两个简化的大分子体系模型。模型链是由统一的原子(统计片段)组成的:第一个模型是珠-弹簧模型,第二个模型中珠是通过定长键连接的。引入的唯一势能是排除的体积,因此系统是无热的。这些模型的蒙特卡罗模拟使用适合于每个模型的类metropolis算法:单头位移和背擦算法。对链的静态和动态性能进行了标度分析。发现并讨论了所考虑的链的性质的普遍行为。对两种算法的效率进行了比较和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Comparison of Monte Carlo Algorithms Applied for Off-Lattice Models of Polymer Chains
We designed two simplified models of macromolecular systems. Model chains were built of united atoms (statistical segments): the first one was a bead-spring model while in the second one beads were connected by bonds of constant length. The only potential introduced was the excluded volume and thus the system was athermal. Monte Carlo simulations of these models were carried out using Metropolis-like algorithms appropriate for each model: the one-bead displacement and the backrub algorithm. The scaling analysis of the chain’s static and dynamic properties was carried out. The universal behavior of the chain’s properties under consideration was found and discussed. The efficiency of both algorithms was compared and discussed.
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