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具有循环缺陷的虚拟模型网络的弹性

Elasticity of Phantom Model Networks with Cyclic Defects.

作者信息

Lang Michael

机构信息

Leibniz Institute of Polymer Research Dresden, Hohe Straße 6, 01069 Dresden, Germany.

出版信息

ACS Macro Lett. 2018 May 15;7(5):536-539. doi: 10.1021/acsmacrolett.8b00020. Epub 2018 Apr 13.

Abstract

The impact of finite cycles on the phantom modulus in an otherwise perfect network is computed exactly. It is shown that pending cycles reduce the phantom modulus of the network by / independent of junction functionality. The correction for nonpending cycles is larger than estimated previously within this particular approximation of the surrounding network structure. It is discussed that loop formation inevitably leads to streched chain conformations, if the loops are built step by step as part of the network structure. All network loops tend to contract simultaneously to optimize conformations, which leads to an increasing stretch of chains in larger loops that can be observed in computer simulations. Possible other corrections to the phantom modulus that were left aside in previous work are discussed briefly.

摘要

精确计算了有限循环对理想网络中虚拟模量的影响。结果表明,悬垂循环会使网络的虚拟模量降低/,且与连接点功能无关。对于非悬垂循环的修正比在此特定周围网络结构近似下先前估计的要大。讨论了如果循环作为网络结构的一部分逐步形成,环的形成不可避免地会导致链构象的拉伸。所有网络环倾向于同时收缩以优化构象,这会导致在计算机模拟中可观察到较大环中链的拉伸增加。简要讨论了先前工作中未考虑的对虚拟模量可能的其他修正。

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