Hyperuniformity scaling of maximally random jammed packings of two-dimensional binary disks.

IF 2.4 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS Physical Review E Pub Date : 2024-12-01 DOI:10.1103/PhysRevE.110.064605
Charles Emmett Maher, Salvatore Torquato
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Abstract

Jammed (mechanically rigid) polydisperse circular-disk packings in two dimensions (2D) are popular models for structural glass formers. Maximally random jammed (MRJ) states, which are the most disordered packings subject to strict jamming, have been shown to be hyperuniform. The characterization of the hyperuniformity of MRJ circular-disk packings has covered only a very small part of the possible parameter space for the disk-size distributions. Hyperuniform heterogeneous media are those that anomalously suppress large-scale volume-fraction fluctuations compared to those in typical disordered systems, i.e., their spectral densities χ[over ̃]_{_{V}}(k) tend to zero as the wavenumber k≡|k| tends to zero and are often described by the power-law χ[over ̃]_{_{V}}(k)∼k^{α} as k→0 where α is the so-called hyperuniformity scaling exponent. In this work, we generate and characterize the structure of strictly jammed binary circular-disk packings with a size ratio β=D_{L}/D_{S}, where D_{L} and D_{S} are the large and small disk diameters, respectively, and the molar ratio of the two disk sizes is 1:1. In particular, by characterizing the rattler fraction ϕ_{R}, the fraction of configurations in an ensemble with fixed β that are isostatic, and the n-fold orientational order metrics ψ_{n} of ensembles of packings with a wide range of size ratios β, we show that size ratios 1.2≲β≲2.0 produce maximally random jammed (MRJ)-like states, which we show are the most disordered strictly jammed packings according to several criteria. Using the large-R scaling of the volume fraction variance σ_{_{V}}^{2}(R) associated with a spherical sampling window of radius R, we extract the hyperuniformity scaling exponent α from these packings, and find the function α(β) is maximized at β=1.4 (with α=0.450±0.002) within the range 1.2≤β≤2.0. Just outside of this range of β values, α(β) begins to decrease more quickly, and far outside of this range the packings are nonhyperuniform, i.e., α=0. Moreover, we compute the spectral density χ[over ̃]_{_{V}}(k) and use it to characterize the structure of the binary circular-disk packings across length scales and then use it to determine the time-dependent diffusion spreadability of these MRJ-like packings. The results from this work can be used to inform the experimental design of disordered hyperuniform thin-film materials with tunable degrees of orientational and translational disorder.

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二维二进制磁盘最大随机堵塞填料的超均匀缩放。
二维(2D)阻塞(机械刚性)多分散圆盘填料是结构玻璃成形器的常用模型。最大随机干扰(MRJ)状态是受严格干扰的最无序的填料,已被证明是超均匀的。MRJ圆盘填料的超均匀性表征只涵盖了磁盘大小分布的可能参数空间的很小一部分。与典型的无序系统相比,超均匀非均匀介质是那些异常抑制大规模体积分数波动的介质,即它们的谱密度χ[over]_{_{V}}(k)趋于零,因为波数k≡|k|趋于零,并且通常用幂律χ[over]_{_{V}}(k) ~ k^{α}描述为k→0,其中α是所谓的超均匀标度指数。本文生成了尺寸比为β=D_{L}/D_{S}的严格堵塞二元圆圆盘填料结构,其中D_{L}和D_{S}分别为大圆盘直径和小圆盘直径,两圆盘尺寸的摩尔比为1:1。特别地,通过描述具有固定β的系综中等静力态的摇铃分数(_{R}),以及具有大范围尺寸比β的系综的n倍方向序度量(_{n}),我们表明,尺寸比1.2≤β≤2.0产生最大随机阻塞(MRJ)样态,根据几个标准,这是最无序的严格阻塞填料。利用体积分数方差σ_{_{V}}^{2}(R)与半径为R的球形采样窗口相关联的大R尺度变换,从这些填料中提取出超均匀性尺度指数α,发现在1.2≤β≤2.0范围内,函数α(β)在β=1.4处最大(α=0.450±0.002)。在β值的这个范围之外,α(β)开始更快地下降,而在这个范围之外,填料是非超均匀的,即α=0。此外,我们计算了谱密度χ[over]_{_{V}}(k),并用它来表征二元圆盘填料在长度尺度上的结构,然后用它来确定这些类mrj填料的随时间的扩散展扩展性。本工作的结果可用于具有可调取向和平移无序度的无序超均匀薄膜材料的实验设计。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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