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关于尾状聚合物链概率分布函数的动态蒙特卡罗研究

Dynamic Monte Carlo study on the probability distribution functions of tail-like polymer chain.

作者信息

Chen Ying-cai, Luo Meng-bo

机构信息

Department of Physics, Taizhou University, Taizhou 317000, China.

出版信息

J Zhejiang Univ Sci B. 2005 Nov;6(11):1130-4. doi: 10.1631/jzus.2005.B1130.

Abstract

The configurational properties of tail-like polymer chains with one end attached to a flat surface are studied by using dynamic Monte Carlo technique. We find that the probability distribution of the free end in z direction P(R(z)) and the density profile rho(z) can be scaled approximately by a factor beta to be a length independent function for both random walking (RW) and self-avoiding walking (SAW) tail-like chains, where the factor beta is related to the mean square end-to-end distance <R(2)>. The scaled P(R(z)) of the SAW chain roughly overlaps that of the RW chain, but the scaled rho(z) of the SAW chain locates at smaller betaz than that of the RW chain.

摘要

采用动态蒙特卡罗技术研究了一端附着在平面上的尾状聚合物链的构型性质。我们发现,对于随机行走(RW)和自回避行走(SAW)尾状链,自由端在z方向上的概率分布P(R(z))和密度分布rho(z)可以通过一个因子β近似缩放为与长度无关的函数,其中因子β与均方末端距<R²>有关。SAW链的缩放后的P(R(z))与RW链的大致重叠,但SAW链的缩放后的rho(z)位于比RW链更小的βz处。

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