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Using Von Mises-fisher Distribution for Polymer Conformation Analysis in Multi-scale Framework

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dc.contributor.author Abzhanov, Aidos
dc.contributor.author Kallemov, Bakytzhan
dc.creator Aidos, Abzhanov
dc.date.accessioned 2017-12-14T04:20:45Z
dc.date.available 2017-12-14T04:20:45Z
dc.date.issued 2013-01-01
dc.identifier DOI:10.1016/j.proeng.2013.07.102
dc.identifier.citation Aidos Abzhanov, Bakytzhan Kallemov, Using Von Mises-fisher Distribution for Polymer Conformation Analysis in Multi-scale Framework, In Procedia Engineering, Volume 61, 2013, Pages 111-116
dc.identifier.issn 18777058
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S1877705813011685
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/2883
dc.description.abstract Abstract In this study we consider the statistical representation of polymer conformations, which is very important when modeling rheology at macroscopic scales. It is impossible to track all relevant microscopic variables for each polymer in a polymer-laden solution due to the huge number degrees of freedom associated with such fluids. We applied this approach to one of the most descriptive kinetic models of polymer, Kramers bead-rod model, where the probability density function models the angle of each rod with respect to the fixed coordinate axes. Towards this goal we apply mixture of von Mises-Fisher distribution for modeling a polymer conformation. The Expectation-Maximization based clustering algorithms are used to estimate the conformation given the ensemble of polymers. Both distribution sampling and parameters estimation have been implemented in parallel using CPU and GPU based platforms.
dc.relation.ispartof Procedia Engineering
dc.subject von Mises-Fisher
dc.subject multi-scale model
dc.subject polymer conformation
dc.subject GPGPU
dc.title Using Von Mises-fisher Distribution for Polymer Conformation Analysis in Multi-scale Framework
dc.type Article
dc.rights.license Copyright © 2013 The Authors. Published by Elsevier Ltd.
dcterms.publisher Procedia Engineering
elsevier.identifier.doi 10.1016/j.proeng.2013.07.102
elsevier.identifier.eid 1-s2.0-S1877705813011685
elsevier.identifier.pii S1877-7058(13)01168-5
elsevier.identifier.scopusid 84891686341
elsevier.volume 61
elsevier.issue.name 25th International Conference on Parallel Computational Fluid Dynamics
elsevier.coverdate 2013-01-01
elsevier.coverdisplaydate 2013
elsevier.startingpage 111
elsevier.endingpage 116
elsevier.openaccess 1
elsevier.openaccessarticle true
elsevier.openarchivearticle false
elsevier.openaccessuserlicense http://creativecommons.org/licenses/by-nc-nd/3.0/
elsevier.teaser In this study we consider the statistical representation of polymer conformations, which is very important when modeling rheology at macroscopic scales. It is impossible to track all relevant microscopic...
elsevier.aggregationtype Journal


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