Show simple item record Durand, Marc Kafer, Jos Quilliet, Catherine Cox, Simon John Ataei Talebi, Shirin Graner, Francois 2012-02-13T15:12:57Z 2012-02-13T15:12:57Z 2012-02-13
dc.identifier.citation Durand , M , Kafer , J , Quilliet , C , Cox , S J , Ataei Talebi , S & Graner , F 2012 , ' Statistical Mechanics of Two-Dimensional Shuffled Foams: Prediction of the Correlation between Geometry and Topology ' Physical Review Letters , vol 107 , no. 16 , pp. 168304-168309 . DOI: 10.1103/PhysRevLett.107.168304 en
dc.identifier.issn 0031-9007
dc.identifier.other PURE: 175176
dc.identifier.other PURE UUID: fecc4d8b-9a12-41c9-b503-830d93fa6f37
dc.identifier.other dspace: 2160/7781
dc.description Durand, M., Kafer, J., Quilliet, C., Cox, S., Talebi, S.A. and Graner, F. (2011). Statistical me-a chanics of two-dimensional shuffled foams: prediction of the correlation between geometry and topology. Phys. Rev. Letts. 107:168304 en
dc.description.abstract We propose an analytical model for the statistical mechanics of shuffled two-dimensional foams with moderate bubble size polydispersity. It predicts without any adjustable parameters the correlations between the number of sides n of the bubbles (topology) and their areas A (geometry) observed in experiments and numerical simulations of shuffled foams. Detailed statistics show that in shuffled cellular patterns n correlates better with sqrt(A) (as claimed by Desch and Feltham) than with A (as claimed by Lewis and widely assumed in the literature). At the level of the whole foam, standard deviations Delta n and Delta A are in proportion. Possible applications include correlations of the detailed distributions of n and A, three-dimensional foams, and biological tissues. en
dc.format.extent 5 en
dc.language.iso eng
dc.relation.ispartof Physical Review Letters en
dc.rights en
dc.title Statistical Mechanics of Two-Dimensional Shuffled Foams: Prediction of the Correlation between Geometry and Topology en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Mathematical Modelling of Structures, Solids and Fluids en
dc.contributor.institution Institute of Mathematics & Physics (ADT) en
dc.description.status Peer reviewed en

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