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环状与线性聚合物缠结溶液中的动力学纠缠与协同动力学

Dynamical Entanglement and Cooperative Dynamics in Entangled Solutions of Ring and Linear Polymers.

作者信息

Michieletto Davide, Sakaue Takahiro

机构信息

School of Physics and Astronomy, University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom.

MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, North Crewe Road, Edinburgh, EH4 2XU, United Kingdom.

出版信息

ACS Macro Lett. 2021 Jan 19;10(1):129-134. doi: 10.1021/acsmacrolett.0c00551. Epub 2020 Dec 31.

Abstract

Understanding how entanglements affect the behavior of polymeric complex fluids is an open challenge in many fields. To elucidate the nature and consequence of entanglements in dense polymer solutions, we propose a novel method: a "dynamical entanglement analysis" (DEA) to extract spatiotemporal entanglement structures from the pairwise displacement correlation of entangled chains. By applying this method to large-scale molecular dynamics simulations of linear and unknotted, nonconcatenated ring polymers, we find a strong and unexpected cooperative dynamics: the footprint of mutual entrainment between entangled chains. We show that DEA is a powerful and sensitive probe that reveals previously unnoticed and architecture-dependent spatiotemporal structures of dynamical entanglement in polymeric solutions. We also propose a mean-field approximation of our analysis that provides previously under-appreciated physical insights into the dynamics of generic entangled polymers. We envisage DEA will be useful to analyze the dynamical evolution of entanglements in generic polymeric systems such as blends and composites.

摘要

理解缠结对聚合物复杂流体行为的影响是许多领域中一个悬而未决的挑战。为了阐明浓聚合物溶液中缠结的本质和后果,我们提出了一种新方法:“动态缠结分析”(DEA),用于从缠结链的成对位移相关性中提取时空缠结结构。通过将此方法应用于线性、无结且未连接的环状聚合物的大规模分子动力学模拟,我们发现了一种强烈且出乎意料的协同动力学:缠结链之间相互夹带的痕迹。我们表明,DEA是一种强大且灵敏的探针,它揭示了聚合物溶液中动态缠结以前未被注意到的、与结构相关的时空结构。我们还提出了我们分析的平均场近似,它为一般缠结聚合物的动力学提供了以前未得到充分重视的物理见解。我们设想DEA将有助于分析诸如共混物和复合材料等一般聚合物体系中缠结的动态演化。

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