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Equilibrium statistical distributions for subchains in an entangled polymer melt

机译:纠缠的聚合物熔体中子链的平衡统计分布

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n de Gennes-Doi-Edwards theory for entangled polymeric melts, a length scale r(0) is introduced, giving the equilibrium mesh size of the physical network of chains. Each polymer molecule is then represented as a random walk, with a step size r(0) (a "subchain", made up of n(0) Kuhn segments) dictated by the existence of entanglements. Progressing from this simple picture, an issue that has been constantly overlooked so far, despite its potential relevance, is that of finite-size effects at the de Gennes-Doi-Edwards characteristic length scale. Actually, since a subchain in a melt is a "small", nonmacroscopic system, fluctuations of both its length and its number of Kuhn segments are certainly nonnegligible. An ad hoc theoretical treatment from nonstandard (nano) statistical mechanics and thermodynamics seems then required, to find the anticipated equilibrium statistical distributions of the subchain population. In this contribution, we carefully discuss this topic. Some predictions from the nonstandard fluctuation-inclusive approach on the statistics of subchains are here obtained, and compared with existing simulations, even down to the atomistic level.
机译:在Gennes-Doi-Edwards纠缠聚合物熔体理论中,引入了长度标度r(0),给出了链的物理网络的平衡网格大小。然后将每个聚合物分子表示为随机缠结,步长为r(0)(“子链”,由n(0)个库恩链段组成),由缠结的存在决定。从这张简单的图片来看,尽管它具有潜在的相关性,但迄今为止一直被忽视的问题是在de Gennes-Doi-Edwards特征长度尺度上的有限尺寸效应。实际上,由于熔体中的子链是“小的”非宏观体系,因此其长度和库恩链段数的波动无疑是微不足道的。然后似乎需要对非标准(纳米)统计力学和热力学进行特殊的理论处理,以找到预期的子链总体平衡统计分布。在此贡献中,我们将仔细讨论该主题。从子链统计的非标准包含波动的方法中获得了一些预测,并与现有模拟进行了比较,甚至降至原子级。

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