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Structure of entangled polymer network from primitive chain network simulations

机译:基于原始链网络模拟的纠缠聚合物网络结构

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摘要

The primitive chain network (PCN) model successfully employed to simulate the rheology of entangled polymers is here tested versus less coarse-grained (lattice or atomistic) models for what concerns the structure of the network at equilibrium (i.e., in the absence of flow). By network structure, we mean the distributions of some relevant quantities such as subchain length in space or in monomer number. Indeed, lattice and atomistic simulations are obviously more accurate, but are also more difficult to use in nonequilibrium flow situations, especially for long entangled polymers. Conversely, the coarse-grained PCN model that deals more easily with rheology lacks, strictly speaking, a rigorous foundation. It is therefore important to verify whether or not the equilibrium structure of the network predicted by the PCN model is consistent with the results recently obtained by using lattice and atomistic simulations. In this work, we focus on single chain properties of the entangled network. Considering the significant differences in modeling the polymer molecules, the results here obtained appear encouraging, thus providing a more solid foundation to Brownian simulations based on the PCN model. Comparison with the existing theories also proves favorable.
机译:本文测试了成功用于模拟缠结聚合物流变学的原始链网络(PCN)模型与较不粗糙的(晶格或原子性)模型有关平衡状态下(即在没有流动的情况下)网络结构的模型。通过网络结构,我们是指一些相关数量的分布,例如空间或单体数量中的子链长度。实际上,晶格和原子模拟显然更准确,但在非平衡流动情况下也更难使用,尤其是对于长缠结的聚合物。相反,严格说来,较容易处理流变学的粗粒度PCN模型缺乏严格的基础。因此,重要的是要验证PCN模型预测的网络平衡结构是否与最近通过使用晶格和原子模拟获得的结果一致。在这项工作中,我们专注于纠缠网络的单链属性。考虑到在建模聚合物分子方面的显着差异,此处获得的结果似乎令人鼓舞,从而为基于PCN模型的布朗模拟提供了更坚实的基础。与现有理论进行比较也证明是有利的。

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