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Title: Applicability of Dynamic Facilitation Theory to Binary Hard Disk Systems

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Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
Grant/Contract Number:
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Physical Review Letters
Additional Journal Information:
Journal Volume: 117; Journal Issue: 14; Related Information: CHORUS Timestamp: 2016-09-28 18:09:10; Journal ID: ISSN 0031-9007
American Physical Society
Country of Publication:
United States

Citation Formats

Isobe, Masaharu, Keys, Aaron S., Chandler, David, and Garrahan, Juan P. Applicability of Dynamic Facilitation Theory to Binary Hard Disk Systems. United States: N. p., 2016. Web. doi:10.1103/PhysRevLett.117.145701.
Isobe, Masaharu, Keys, Aaron S., Chandler, David, & Garrahan, Juan P. Applicability of Dynamic Facilitation Theory to Binary Hard Disk Systems. United States. doi:10.1103/PhysRevLett.117.145701.
Isobe, Masaharu, Keys, Aaron S., Chandler, David, and Garrahan, Juan P. 2016. "Applicability of Dynamic Facilitation Theory to Binary Hard Disk Systems". United States. doi:10.1103/PhysRevLett.117.145701.
title = {Applicability of Dynamic Facilitation Theory to Binary Hard Disk Systems},
author = {Isobe, Masaharu and Keys, Aaron S. and Chandler, David and Garrahan, Juan P.},
abstractNote = {},
doi = {10.1103/PhysRevLett.117.145701},
journal = {Physical Review Letters},
number = 14,
volume = 117,
place = {United States},
year = 2016,
month = 9

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1103/PhysRevLett.117.145701

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  • The dispersion and connectivity of particles with a high degree of polydispersity is relevant to problems involving composite material properties and reaction decomposition prediction and has been the subject of much study in the literature. This paper utilizes Monte Carlo models to predict percolation thresholds for a two-dimensional systems containing disks of two different radii. Monte Carlo simulations and spanning probability are used to extend prior models into regions of higher polydispersity than those previously considered. A correlation to predict the percolation threshold for binary disk systems is proposed based on the extended dataset presented in this work and comparedmore » to previously published correlations. Finally, a set of boundary conditions necessary for a good fit is presented, and a condition for maximizing percolation threshold for binary disk systems is suggested.« less
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