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A Geometric-Structure Theory for Maximally Random Jammed Packings

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 theo...

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Autores principales: Tian, Jianxiang, Xu, Yaopengxiao, Jiao, Yang, Torquato, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644945/
https://www.ncbi.nlm.nih.gov/pubmed/26568437
http://dx.doi.org/10.1038/srep16722
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author Tian, Jianxiang
Xu, Yaopengxiao
Jiao, Yang
Torquato, Salvatore
author_facet Tian, Jianxiang
Xu, Yaopengxiao
Jiao, Yang
Torquato, Salvatore
author_sort Tian, Jianxiang
collection PubMed
description 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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spelling pubmed-46449452015-11-20 A Geometric-Structure Theory for Maximally Random Jammed Packings Tian, Jianxiang Xu, Yaopengxiao Jiao, Yang Torquato, Salvatore Sci Rep Article 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. Nature Publishing Group 2015-11-16 /pmc/articles/PMC4644945/ /pubmed/26568437 http://dx.doi.org/10.1038/srep16722 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Tian, Jianxiang
Xu, Yaopengxiao
Jiao, Yang
Torquato, Salvatore
A Geometric-Structure Theory for Maximally Random Jammed Packings
title A Geometric-Structure Theory for Maximally Random Jammed Packings
title_full A Geometric-Structure Theory for Maximally Random Jammed Packings
title_fullStr A Geometric-Structure Theory for Maximally Random Jammed Packings
title_full_unstemmed A Geometric-Structure Theory for Maximally Random Jammed Packings
title_short A Geometric-Structure Theory for Maximally Random Jammed Packings
title_sort geometric-structure theory for maximally random jammed packings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644945/
https://www.ncbi.nlm.nih.gov/pubmed/26568437
http://dx.doi.org/10.1038/srep16722
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