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Properties of Effective Pair Potentials that Map Polymer Melts onto Liquids of Soft Colloid Chains

机译:映射聚合物熔融到软胶体链的液体的有效对电位的性质

摘要

The ability to accurately represent polymer melts at various levels of coarse graining is of great interest because of the wide range of time and length scales over which relevant process take place. Schemes for developing effective interaction potentials for coarse-grained representations that incorporate microscopic level system information are generally numerical and thus suffer from issues of transferability because they are state dependent and must be recalculated for different system and thermodynamic parameters. Numerically derived potentials are also known to suffer from representability problems, in that they may preserve structural correlations in the coarse-grained representation but many often fail to preserve thermodynamic averages of the coarse-grained representation. In this dissertation, analytical forms of the structural correlations and effective pair potentials for a family of highly coarse-grained representations of polymer melts are derived. It is shown that these effective potentials, when used in mesoscale simulations of the coarse-grained representation, generate consistent equilibrium structure and thermodynamic averages with low level representations and therefore with physical systems. Furthermore, analysis of the effective pair potential forms shows that a small long range tail feature that scales beyond the physical range of the polymer as the fourth root of the number of monomers making up the coarse-grained unit dominates thermodynamic averages at high levels of coarse graining. Because structural correlations are extremely insensitive to this feature, it can be shown that effective interaction potentials derived from optimization of structural correlations would require unrealistically high precision measurements of structural correlations to obtain thermodynamically consistent potentials, explaining the problems of numerical coarse-graining schemes. This dissertation includes previously published and unpublished co-authored material.
机译:由于发生相关过程的时间和长度范围很广,因此在各种粗粒度下精确表示聚合物熔体的能力引起了极大的兴趣。用于开发包含微观级别系统信息的粗粒度表示形式的有效交互作用电位的方案通常是数字的,因此存在转移性问题,因为它们取决于状态,并且必须针对不同的系统和热力学参数进行重新计算。还已知数值导出的电势会遭受可表示性的问题,因为它们可能会保留粗粒度表示形式中的结构相关性,但是许多经常无法保留粗粒度表示形式的热力学平均值。本文推导了聚合物熔体的一族高粗粒度表示形式的结构相关性和有效对电位的分析形式。结果表明,这些有效势在用于粗粒度表示的中尺度模拟中时,会生成一致的平衡结构和具有低级表示的热力学平均值,从而生成物理系统的热力学平均值。此外,对有效对电位形式的分析表明,由于构成粗粒单元的单体数量的第四个根在高粗粒水平上占主导地位的热力学平均值,小长程尾部特征超出了聚合物的物理范围颗粒。由于结构相关性对此特性极为不敏感,因此可以证明,从结构相关性优化中获得的有效相互作用电势将需要对结构相关性进行不切实际的高精度测量才能获得热力学上一致的电势,从而解释了数值粗粒度方案的问题。本论文包括以前发表和未发表的合著材料。

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    Clark Anthony;

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  • 年度 2013
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