Hyperuniformity of Maximally Random Jammed Packings of Hyperspheres Across Spatial Dimensions
Abstract
The maximally random jammed (MRJ) state is the most random configuration of strictly jammed (mechanically rigid) nonoverlapping objects. MRJ packings are hyperuniform, meaning their long-wavelength density fluctuations are anomalously suppressed compared to typical disordered systems, i.e., their structure factors tend to zero as the wavenumber tends to zero. Here, we show that generating high-quality strictly jammed states for space dimensions and is of paramount importance in ensuring hyperuniformity and extracting precise values of the hyperuniformity exponent for MRJ states, defined by the power-law behavior of in the limit . Moreover, we show that for fixed it is more difficult to ensure jamming as the particle number increases, which results in packings that are nonhyperuniform. Free-volume theory arguments suggest that the ideal MRJ state does not contain rattlers, which act as defects in numerically generated packings. As increases, we find that the fraction of rattlers decreases substantially. Our analysis of the largest truly jammed packings suggests that the ideal MRJ packings for all dimensions are hyperuniform with , implying the packings become more hyperuniform as increases. The differences in between MRJ packings and recently proposed Manna-class random close packed (RCP) states, which were reported to have in and be nonhyperuniform () for and , demonstrate the vivid distinctions between the large-scale structure of RCP and MRJ states in these dimensions. Our work clarifies the importance of the link between true jamming and hyperuniformity and motivates the development of an algorithm to produce rattler-free three-dimensional MRJ packings.
Keywords
Cite
@article{arxiv.2311.06970,
title = {Hyperuniformity of Maximally Random Jammed Packings of Hyperspheres Across Spatial Dimensions},
author = {Charles Emmett Maher and Yang Jiao and Salvatore Torquato},
journal= {arXiv preprint arXiv:2311.06970},
year = {2023}
}
Comments
15 pages, 8 figures