中文
相关论文

相关论文: Phyllotactic description of hard sphere packing in…

200 篇论文

The properties of a hard-sphere fluid in contact with hard spherical and cylindrical walls are studied. Rosenfeld's density functional theory (DFT) is applied to determine the density profile and surface tension $\gamma$ for wide ranges of…

统计力学 · 物理学 2007-05-23 P. Bryk , R. Roth , K. R. Mecke , S. Dietrich

An earlier paper describes a program to prove the Kepler conjecture on sphere packings. This paper carries out the second step of that program. A sphere packing leads to a decomposition of $R^3$ into polyhedra. The polyhedra are divided…

度量几何 · 数学 2007-05-23 Thomas C. Hales

Using computed x-ray tomography we determine the three dimensional (3d) structure of binary hard sphere mixtures as a function of composition and size ratio of the particles, q. Using a recently introduced four-point correlation function we…

软凝聚态物质 · 物理学 2023-02-15 Houfei Yuan , Zhen Zhang , Walter Kob , Yujie Wang

Packing problems have been a source of fascination for millenia and their study has produced a rich literature that spans numerous disciplines. Investigations of hard-particle packing models have provided basic insights into the structure…

统计力学 · 物理学 2018-08-01 Salvatore Torquato

We present the first systematic algorithm to estimate the maximum packing density of spheres when the grain sizes are drawn from an arbitrary size distribution. With an Apollonian filling rule, we implement our technique for disks in 2d and…

统计力学 · 物理学 2012-01-05 Saulo D. S. Reis , Nuno A. M. Araújo , José S. Andrade , Hans J. Herrmann

Using transversality and a dimension reduction argument, a result of A. Bezdek and W. Kuperberg is applied to polycylinders $\mathbb{D}^2\times \mathbb{R}^n$, showing that the optimal packing density is $\pi/\sqrt{12}$ in any dimension.

度量几何 · 数学 2017-09-14 Wöden Kusner

Based on results from the physics and mathematics literature which suggest a series of clearly defined conjectures, we formulate three simple scenarios for the fate of hard sphere crystallization in high dimension: (A) crystallization is…

统计力学 · 物理学 2021-12-30 Patrick Charbonneau , Peter K. Morse , Will Perkins , Francesco Zamponi

Packing problems have been of great interest in many diverse contexts for many centuries. The optimal packing of identical objects has been often invoked to understand the nature of low temperature phases of matter. In celebrated work,…

统计力学 · 物理学 2009-11-13 Antonio Trovato , Trinh X. Hoang , Jayanth R. Banavar , Amos Maritan

The problem of finding the most efficient way to pack spheres has an illustrious history, dating back to the crystalline arrays conjectured by Kepler and the random geometries explored by Bernal in the 60's. This problem finds applications…

软凝聚态物质 · 物理学 2014-09-15 Ping Wang , Chaoming Song , Yuliang Jin , Hernan A. Makse

We present a method for discovering dense packings of general convex hard particles and apply it to study the dense packing behavior of a one-parameter family of particles with tetrahedral symmetry representing a deformation of the ideal…

软凝聚态物质 · 物理学 2013-01-28 Yoav Kallus , Veit Elser

Motivated by a recently identified severe discrepancy between a static and a dynamic theory of glasses, we numerically investigate the behavior of dense hard spheres in spatial dimensions 3 to 12. Our results are consistent with the static…

无序系统与神经网络 · 物理学 2011-10-28 Patrick Charbonneau , Atsushi Ikeda , Giorgio Parisi , Francesco Zamponi

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

A \emph{cylinder packing} is a family of congruent infinite circular cylinders with mutually disjoint interiors in $3$-dimensional Euclidean space. The \emph{local density} of a cylinder packing is the ratio between the volume occupied by…

度量几何 · 数学 2018-10-01 Dan Ismailescu , Piotr Laskawiec

We construct the densest known two-dimensional packings of superdisks in the plane whose shapes are defined by |x^(2p) + y^(2p)| <= 1, which contains both convex-shaped particles (p > 0.5, with the circular-disk case p = 1) and…

软凝聚态物质 · 物理学 2009-11-13 Y. Jiao , F. H. Stillinger , S. Torquato

Dense hard-particle packings are intimately related to the structure of low-temperature phases of matter and are useful models of heterogeneous materials and granular media. Most studies of the densest packings in three dimensions have…

软凝聚态物质 · 物理学 2015-05-13 Yang Jiao , Frank Stillinger , Sal Torquato

The channel size distribution in hard sphere systems, based on the local neighbor correlation of four particle positions, is investigated for all volume fractions up to jamming. For each particle, all three particle combinations of…

无序系统与神经网络 · 物理学 2015-06-19 Vitaliy Ogarko , Nicolas Rivas , Stefan Luding

The method, proposed in \cite{Za22} to derive the densest packing fraction of random disc and sphere packings, is shown to yield in two dimensions too high a value that (i) violates the very assumption underlying the method and (ii)…

无序系统与神经网络 · 物理学 2022-02-15 Raphael Blumenfeld

We use numerical simulation to investigate and analyze the way that rigid disks and spheres arrange themselves when compressed next to incommensurate substrates. For disks, a movable set is pressed into a jammed state against an ordered…

材料科学 · 物理学 2009-11-10 Boris D. Lubachevsky , Frank H. Stillinger

We describe a new numerical procedure for generating dense packings of disks and spheres inside various geometric shapes. We believe that in some of the smaller cases, these packings are in fact optimal. When applied to the previously…

度量几何 · 数学 2007-05-23 David W. Boll , Jerry Donovan , Ronald L. Graham , Boris D. Lubachevsky

We present an efficient Monte Carlo method for the lattice sphere packing problem in d dimensions. We use this method to numerically discover de novo the densest lattice sphere packing in dimensions 9 through 20. Our method goes beyond…

统计力学 · 物理学 2013-06-28 Yoav Kallus