Extensive study of droplet dynamics with end-grafted polymer chains in Pickering emulsions: Molecular Dynamics simulation and a generic model derived from the generalized Langevin equation

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Computational Materials Science Pub Date : 2024-08-27 DOI:10.1016/j.commatsci.2024.113305
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Abstract

This paper investigates Pickering emulsions (PEs), formed by suspending oil droplets as the dispersed phase in water as the continuous phase using uncharged particles at their interface. To prevent coalescence, the particles are grafted with polymer chains, as emulsifier, not only to provide steric repulsion forces through the excluded volume between monomers floating in water, compensating for the absence of Coulombic repulsive forces but also control emulsion stabilization/destabilization. We combined molecular dynamics (MD) simulations and a generalized Langevin equation (GLE) model to study the dynamics of hairy-droplets using two dynamic quantities: mean square displacement (MSD) and velocity autocorrelation function (VACF). The number of grafted-polymer-chains, f, was the main parameter of interest, while the other parameters of the system were kept constant. A statistical approach was used to estimate theoretical GLE-based model parameters along with their uncertainties, providing insight into the diffusion behavior of these hairy-droplets and specifically addressing the transition between different observed regimes. we capture three specific values of grafted-polymer-chains as, fb=47 and ft=185 describe the transitions of mushroom-brush conformation of grafted-polymer-chains and viscous-viscoelastic behavior of hairy-droplets, respectively, and fg=257 representing the gel-like state number.

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广泛研究皮克林乳液中带有端接聚合物链的液滴动力学:分子动力学模拟和广义朗之万方程衍生的通用模型
本文研究了皮克林乳液(Pickering emulsions,PEs),这种乳液是将作为分散相的油滴悬浮在作为连续相的水中,在它们的界面上使用不带电的颗粒形成的。为防止凝聚,颗粒上接枝了聚合物链作为乳化剂,不仅通过单体间在水中漂浮的排斥体积提供立体斥力,弥补库仑斥力的缺失,还能控制乳液的稳定/不稳定。我们结合分子动力学(MD)模拟和广义朗文方程(GLE)模型,利用两个动态量:均方位移(MSD)和速度自相关函数(VACF)研究了毛滴的动力学。接枝聚合物链的数量 f 是主要参数,系统的其他参数保持不变。我们使用统计方法估算了基于 GLE 的理论模型参数及其不确定性,从而深入了解了这些毛滴的扩散行为,并特别解决了不同观测状态之间的过渡问题。我们捕捉了接枝聚合物链的三个特定值:fb=47 和 ft=185,分别描述了接枝聚合物链的蘑菇刷构象转换和毛滴的粘性-粘弹性行为,fg=257 代表凝胶状状态数。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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