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Dynamical Monte Carlo study of equilibrium polymers: Effects of high density and ring formation

机译:平衡聚合物的动力学蒙特卡洛研究:高密度和成环的影响

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An off-lattice Monte Carlo algorithm for solutions of equilibrium polymers (EPs) is proposed. At low and moderate densities this is shown to reproduce faithfully the (static) properties found recently for flexible Linear EPs using a lattice model. The molecular weight distribution (MWD) is well described in the dilute limit by a Schultz-Zimm distribution and becomes purely exponential in the semidilute limit. Additionally, very concentrated molten systems are studied. The MWD remains a pure exponential in contrast to recent claims. The mean chain mass is found to increase faster with density than in the semidilute regime due to additional entropic interactions generated by the dense packing of spheres. We also consider systems in which the formation of rings is allowed so that both the linear chains and the rings compete for the monomers. In agreement with earlier predictions the MWD of the rings reveals a strong singularity whereas the MWD of the coexisting linear chains remains essentially unaffected. [References: 20]
机译:提出了一种求解平衡聚合物(EPs)的格外蒙特卡罗算法。在低密度和中等密度下,这显示出可以忠实地再现最近使用晶格模型的柔性线性EP的(静态)特性。分子量分布(MWD)在舒尔茨-齐姆分布中的稀释极限中已得到很好的描述,在半稀释极限中变成纯指数。另外,研究了高度浓缩的熔融体系。与最近的说法相反,MWD仍然是纯指数。发现平均链质量随密度的增加比半稀释状态快,这是由于球的密集堆积产生了额外的熵相互作用。我们还考虑了允许形成环的系统,以便线性链和环都竞争单体。与早期的预测一致,环的MWD显示出很强的奇异性,而共存的线性链的MWD基本上不受影响。 [参考:20]

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