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Dissipative particle dynamics simulations of tri-block co-polymer and water: Phase diagram validation and microstructure identification

机译:三块共聚物和水的耗散粒子动力学模拟:相图验证和微观结构识别

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In this study, the phase diagram of Pluronic L64 and water is simulated via dissipative particle dynamics (DPD). The peculiar structures that form when the concentration varies from dilute to dense (i.e., spherical and rod-like micelles, hexagonal and lamellar phases, as well as reverse micelles) are recognized, and predictions are found to be in good agreement with experiments. A novel clustering algorithm is used to identify the structures formed, characterize them in terms of radius of gyration and aggregation number and cluster mass distributions. Non-equilibrium simulations are also performed, in order to predict how structures are affected by shear, both via qualitative and quantitative analyses. Despite the well-known scaling problem that results in unrealistic shear rates in real units, results show that non-Newtonian behaviors can be predicted by DPD and associated with variations of the observed microstructures. Published by AIP Publishing.
机译:在该研究中,通过耗散粒子动力学(DPD)模拟Pluronic L64和水的相图。 当浓度因稀释而异(即,球形和棒状胶束,六边形和层状相以及反向胶束)而形成的特殊结构是认识的,并且发现预测与实验吻合良好。 一种新的聚类算法用于识别所形成的结构,在循环和聚合数和聚类批量分布方面表征它们。 还进行了非平衡模拟,以预测通过定性和定量分析的剪切的结构如何受剪切的影响。 尽管具有众所周知的扩展问题,导致真实单元中的不切实际的剪切速率,结果表明,可以通过DPD预测非牛顿行为并与观察到的微结构的变化相关联。 通过AIP发布发布。

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