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Tetrahedral colloidal clusters from random parking of bidisperse spheres

机译:来自双分散球的随机停车的四面体胶体簇

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摘要

Using experiments and simulations, we investigate the clusters that form whencolloidal spheres stick irreversibly to -- or "park" on -- smaller spheres. Weuse either oppositely charged particles or particles labeled with complementaryDNA sequences, and we vary the ratio $\alpha$ of large to small sphere radii.Once bound, the large spheres cannot rearrange, and thus the clusters do notform dense or symmetric packings. Nevertheless, this stochastic aggregationprocess yields a remarkably narrow distribution of clusters with nearly 90%tetrahedra at $\alpha=2.45$. The high yield of tetrahedra, which reaches 100%in simulations at $\alpha=2.41$, arises not simply because of packingconstraints, but also because of the existence of a long-time lower bound thatwe call the "minimum parking" number. We derive this lower bound from solutionsto the classic mathematical problem of spherical covering, and we show thatthere is a critical size ratio $\alpha_c=(1+\sqrt{2})\approx 2.41$, close tothe observed point of maximum yield, where the lower bound equals the upperbound set by packing constraints. The emergence of a critical value in a randomaggregation process offers a robust method to assemble uniform clusters for avariety of applications, including metamaterials.
机译:通过实验和模拟,我们研究了当胶体球不可逆地粘在或“停在”较小球体上时形成的团簇。我们使用带相反电荷的粒子或标有互补DNA序列的粒子,然后改变大球半径与小球半径的比率,一旦绑定,大球就无法重新排列,因此簇不形成密集或对称的堆积。然而,这种随机聚集过程产生的簇的分布非常窄,在$α= 2.45 $处具有接近90%的四面体。四面体的高产量在模拟中以$ \ alpha = 2.41 $达到100%的原因不仅是由于装箱限制,而且还因为存在长期的下界,我们称之为“最小停车”数。我们从球形覆盖的经典数学问题的解中得出这个下界,并表明存在一个临界尺寸比$ \ alpha_c =(1+ \ sqrt {2})\约2.41 $,接近观察到的最大产量点,下限等于打包约束所设置的上限。随机聚集过程中临界值的出现提供了一种鲁棒的方法,可为各种应用(包括超材料)组装统一的簇。

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