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相关论文: Optimal Packing Behavior of some 2-block Patterns

200 篇论文

In this note we give a simple proof of the classical fact that the hexagonal lattice gives the highest density circle packing among all lattices in $R^2$. With the benefit of hindsight, we show that the problem can be restricted to the…

数论 · 数学 2010-11-29 Lenny Fukshansky

Questions surrounding the spatial disposition of particles in various condensed-matter systems continue to pose many theoretical challenges. This paper explores the geometric availability of amorphous many-particle configurations that…

统计力学 · 物理学 2007-05-23 S. Torquato , F. H. Stillinger

It is well known that the lattice packing density and the lattice covering density of a triangle are $\frac{2}{3}$ and $\frac{3}{2}$ respectively. We also know that the lattices that attain these densities both are unique. Let…

度量几何 · 数学 2014-12-22 Kirati Sriamorn

We consider maximum packings of edge-disjoint $4$-cliques in the complete graph $K_n$. When $n \equiv 1$ or $4 \pmod{12}$, these are simply block designs. In other congruence classes, there are necessarily uncovered edges; we examine the…

组合数学 · 数学 2019-05-30 Yanxun Chang , Peter J. Dukes , Tao Feng

Dense, disordered packings of particles are useful models of low-temperature amorphous phases of matter, biological systems, granular media, and colloidal systems. The study of dense packings of nonspherical particles enables one to…

软凝聚态物质 · 物理学 2022-05-09 Charles Emmett Maher , Frank H. Stillinger , Salvatore Torquato

We investigate the morphologies and maximum packing density of thin wires packed into spherical cavities. Using simulations and experiments, we find that ordered as well as disordered structures emerge, depending on the amount of internal…

软凝聚态物质 · 物理学 2011-05-30 N. Stoop , J. Najafi , F. K. Wittel , M. Habibi , H. J. Herrmann

In the paper, packings built of identical cuboids with a square base created by random sequential adsorption are studied. The result of the study show that the packing of the highest density are obtained for oblate and prolate cuboids of…

材料科学 · 物理学 2018-08-01 Piotr Kubala , Michał Cieśla

Dense packings have served as useful models of the structure of liquid, glassy and crystal states of matter, granular media, heterogeneous materials, and biological systems. Probing the symmetries and other mathematical properties of the…

统计力学 · 物理学 2015-05-14 S. Torquato , Y. Jiao

Packings of hard polyhedra have been studied for centuries due to their mathematical aesthetic and more recently for their applications in fields such as nanoscience, granular and colloidal matter, and biology. In all these fields, particle…

软凝聚态物质 · 物理学 2014-03-10 Elizabeth R. Chen , Daphne Klotsa , Michael Engel , Pablo F. Damasceno , Sharon C. Glotzer

I investigate dense coding with a general mixed state on the Hilbert space $C^{d}\otimes C^{d}$ shared between a sender and receiver. The following result is proved. When the sender prepares the signal states by mutually orthogonal unitary…

量子物理 · 物理学 2009-11-06 Tohya Hiroshima

This is the fifth in a series of papers giving a proof of the Kepler conjecture, which asserts that the density of a packing of congruent spheres in three dimensions is never greater than $\pi/\sqrt{18}\approx 0.74048...$. This is the…

度量几何 · 数学 2007-05-23 Thomas C. Hales

The problem of finding the asymptotic behavior of the maximal density of sphere packings in high Euclidean dimensions is one of the most fascinating and challenging problems in discrete geometry. One century ago, Minkowski obtained a…

统计力学 · 物理学 2009-11-13 A. Scardicchio , F. H. Stillinger , S. Torquato

Given a convex disk $K$ and a positive integer $k$, let $\delta_T^k(K)$ and $\delta_L^k(K)$ denote the $k$-fold translative packing density and the $k$-fold lattice packing density of $K$, respectively. Let $T$ be a triangle. In a very…

度量几何 · 数学 2016-01-19 Kirati Sriamorn

Higher-dimensional orthogonal packing problems have a wide range of practical applications, including packing, cutting, and scheduling. Combining the use of our data structure for characterizing feasible packings with our new classes of…

数据结构与算法 · 计算机科学 2007-05-23 Sandor P. Fekete , Joerg Schepers , Jan C. van der Veen

We develop a model to describe the properties of random assemblies of polydisperse hard spheres. We show that the key features to describe the system are (i) the dependence between the free volume of a sphere and the various coordination…

无序系统与神经网络 · 物理学 2015-05-19 Maximilien Danisch , Yuliang Jin , Hernan A. Makse

We present the densest known packing of regular tetrahedra with density phi = 4000/4671 = 0.856347... Like the recently discovered packings of Kallus et al. [arXiv:0910.5226] and Torquato-Jiao [arXiv:0912.4210], our packing is crystalline…

统计力学 · 物理学 2010-07-27 Elizabeth R. Chen , Michael Engel , Sharon C. Glotzer

We consider the problem of packing rectangles into bins that are unit squares, where the goal is to minimize the number of bins used. All rectangles have to be packed non-overlapping and orthogonal, i.e., axis-parallel. We present an…

数据结构与算法 · 计算机科学 2009-03-16 Rolf Harren , Rob van Stee

In the field of freezing colloidal suspensions, it is important to understand the particle-scale behavior of particle packing. Here, we reveal the dynamics of particle packing by identifying the behavior of each single particle in situ. The…

材料科学 · 物理学 2017-03-08 Jiaxue You , Jincheng Wang , Lilin Wang , Ziren Wang , Zhijun Wang , Junjie Li , Xin Lin

The densest binary sphere packings have historically been very difficult to determine. The only rigorously known packings in the alpha-x plane of sphere radius ratio alpha and relative concentration x are at the Kepler limit alpha = 1,…

统计力学 · 物理学 2015-05-30 Adam B. Hopkins , Yang Jiao , Frank H. Stillinger , Salvatore Torquato

In "On Coding for Reliable Communication over Packet Networks" (Lun, Medard, and Effros, Proc. 42nd Annu. Allerton Conf. Communication, Control, and Computing, 2004), a capacity-achieving coding scheme for unicast or multicast over lossy…

信息论 · 计算机科学 2007-07-16 Desmond S. Lun , Muriel Medard , Ralf Koetter , Michelle Effros