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  • 标题:A Geometric-Structure Theory for Maximally Random Jammed Packings
  • 本地全文:下载
  • 作者:Jianxiang Tian ; Yaopengxiao Xu ; Yang Jiao
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2015
  • 卷号:5
  • DOI:10.1038/srep16722
  • 出版社:Springer Nature
  • 摘要:Maximally random jammed (MRJ) particle packings can be viewed as prototypical glasses in that they are maximally disordered while simultaneously being mechanically rigid. The prediction of the MRJ packing density ϕ MRJ, among other packing properties of frictionless particles, still poses many theoretical challenges, even for congruent spheres or disks. Using the geometric-structure approach, we derive for the first time a highly accurate formula for MRJ densities for a very wide class of two-dimensional frictionless packings, namely, binary convex superdisks, with shapes that continuously interpolate between circles and squares. By incorporating specific attributes of MRJ states and a novel organizing principle, our formula yields predictions of ϕ MRJ that are in excellent agreement with corresponding computer-simulation estimates in almost the entire α - x plane with semi-axis ratio α and small-particle relative number concentration x . Importantly, in the monodisperse circle limit, the predicted ϕ MRJ = 0.834 agrees very well with the very recently numerically discovered MRJ density of 0.827, which distinguishes it from high-density “random-close packing” polycrystalline states and hence provides a stringent test on the theory. Similarly, for non-circular monodisperse superdisks, we predict MRJ states with densities that are appreciably smaller than is conventionally thought to be achievable by standard packing protocols.
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