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交联聚合物网络中纳米粒子扩散的耗散粒子动力学模拟。

Dissipative Particle Dynamics Simulation of Nanoparticle Diffusion in a Crosslinked Polymer Network.

机构信息

Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.

出版信息

J Phys Chem B. 2022 Sep 22;126(37):7184-7191. doi: 10.1021/acs.jpcb.2c05217. Epub 2022 Sep 12.

Abstract

Dissipative particle dynamics simulation is conducted to investigate the diffusion of a nanoparticle in a crosslinked polymer network based on a bead-spring model. Focusing on cases where the particle is comparable in size to the network mesh, we find from rigid networks that the excluded-volume and hydrodynamic interaction effects associated with solvent beads lead to lubricity, which assists the particle to slip through an opening into the adjacent cell. For flexible networks, the hopping mechanism for particle escape becomes less pronounced with higher network flexibility due to either a smaller spring constant or slacker strands, each consisting of more beads. This behavior could be explained by the larger cell size fluctuation and its slower relaxation, whereby large enough openings temporarily formed are longer-lived, increasing the chance for particle hopping.

摘要

采用耗散粒子动力学模拟方法,基于珠-簧模型研究了纳米粒子在交联聚合物网络中的扩散行为。重点关注粒子尺寸与网络网格相当的情况,我们从刚性网络中发现,溶剂珠的排除体积和流体力学相互作用效应对滑润性有影响,这有助于粒子通过开口滑入相邻单元。对于柔性网络,由于弹簧常数较小或链较松弛(每个链包含更多珠子),粒子逃逸的跳跃机制在网络灵活性较高的情况下变得不那么明显。这种行为可以通过较大的单元尺寸波动及其较慢的弛豫来解释,其中暂时形成的足够大的开口具有更长的寿命,从而增加了粒子跳跃的机会。

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