NDLI: A statistical mechanics framework captures the packing of monodisperse particles

Content Provider	Royal Society of Chemistry (RSC)
Author	Newhall, Katherine A. Vanden-Eijnden, Eric Brujic, Jasna Jorjadze, Ivane
Copyright Year	2011
Abstract	We present a generalization of the granocentric model proposed in [Clusel et al., Nature, 2009, 460, 611–615] that is capable of describing the local fluctuations inside not only polydisperse but also monodisperse packings of spheres. This minimal model does not take into account the relative particle positions, yet it captures positional disorder through local stochastic processes sampled by efficient Monte Carlo methods. The disorder is characterized by the distributions of local parameters, such as the number of neighbors and contacts, filled solid angle around a central particle and the cell volumes. The model predictions are in good agreement with our experimental data on monodisperse random close packings of PMMA particles. Moreover, the model can be used to predict the distributions of local fluctuations in any packing, as long as the average number of neighbors, contacts and the packing fraction are known. These distributions give a microscopic foundation to the statistical mechanics framework for jammed matter and allow us to calculate thermodynamic quantities such as the compactivity in the phase space of possible jammed configurations.
Starting Page	11518
Ending Page	11525
Page Count	8
File Format	HTM / HTML PDF
ISSN	1744683X
Volume Number	7
Issue Number	24
Journal	Soft Matter
DOI	10.1039/c1sm06243c
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Dispersity Monte Carlo method Solid angle Monte Carlo Stochastic Packing density Statistical mechanics Phase space Para-Methoxy-N-methylamphetamine
Content Type	Text
Resource Type	Article
Subject	Chemistry Condensed Matter Physics

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