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arXiv 1107.1385cond-mat.soft
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Monte Carlo技术在瓶刷聚合物研究中的新进展

New Development of Monte Carlo Techniques for Studying Bottle-brush Polymers

Hsiao-Ping Hsu

摘要:

由于瓶刷聚合物的复杂特性,它成为一个挑战,开发一个有效的算法来研究这种大分子在各种溶剂条件下或在空间中的一些限制,通过使用计算机模拟。在一个瓶刷聚合物的限制,一个相当刚性的骨干(直刚性骨干),我们概括的变体的偏置链增长算法,修剪丰富的Rosenbluth方法,模拟聚合物与复杂的架构,从星型聚合物瓶刷聚合物,简单的立方晶格。我们的Monte Carlo结果的高统计,我们检查侧链行为和径向单体密度分布的理论预测。为了比较具有柔性主链和柔性侧链的瓶刷聚合物的实验数据,基于键涨落模型,我们提出了另一种结合局部移动、枢轴移动和可调模拟格盒的快速Monte Carlo算法。通过监测侧链和骨架回转半径的自相关函数,我们发现,对于固定的侧链长度,随着骨架长度的增加,这两个函数的行为没有变化。我们的广泛的结果覆盖的范围,这是可访问的比较实验数据和检查的理论预测的标度律。

英文摘要:

Due to the complex characteristics of bottle-brush polymers, it became a challenge to develop an efficient algorithm for studying such macromolecules under various solvent conditions or some constraints in the space by using computer simulations. In the limit of a bottle-brush polymer with a rather stiff backbone (straight rigid backbone), we generalize the variant of the biased chain growth algorithm, the pruned-enriched Rosenbluth method, for simulating polymers with complex architecture, from star polymers to bottle-brush polymers, on the simple cubic lattice. With the high statistics of our Monte Carlo results, we check the theoretical predictions of side chain behavior and radial monomer density profile. For the comparison of the experimental data for bottle-brush polymers with a flexible backbone and flexible side chains, based on the bond fluctuation model we propose another fast Monte Carlo algorithm combining the local moves, the pivot move, and an adjustable simulation lattice box. By monitoring the autocorrelation functions of gyration radii for the side chains and for the backbone, we see that for fixed side chain length there is no change in the behavior of these two functions as the backbone length increases. Our extensive results cover the range which is accessible for the comparison to experimental data and for the checking of the theoretically predicted scaling laws.

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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