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dc.contributor.authorLubineau, Gilles
dc.contributor.authorMora Cordova, Angel
dc.contributor.authorHan, Fei
dc.contributor.authorOdeh, I.N.
dc.contributor.authorYaldiz, R.
dc.date.accessioned2017-01-29T13:51:40Z
dc.date.available2017-01-29T13:51:40Z
dc.date.issued2017-01-13
dc.identifier.citationLubineau G, Mora A, Han F, Odeh IN, Yaldiz R (2017) A morphological investigation of conductive networks in polymers loaded with carbon nanotubes. Computational Materials Science 130: 21–38. Available: http://dx.doi.org/10.1016/j.commatsci.2016.12.041.
dc.identifier.issn0927-0256
dc.identifier.doi10.1016/j.commatsci.2016.12.041
dc.identifier.urihttp://hdl.handle.net/10754/622802
dc.description.abstractLoading polymers with conductive nanoparticles, such as carbon nanotubes, is a popular approach toward improving their electrical properties. Resultant materials are typically described by the weight or volume fractions of their nanoparticles. Because these conductive particles are only capable of charge transfer over a very short range, most do not interact with the percolated paths nor do they participate to the electrical transfer. Understanding how these particles are arranged is necessary to increase their efficiency. It is of special interest to understand how these particles participate in creating percolated clusters, either in a specific or in all directions, and non-percolated clusters. For this, we present a computational modeling strategy based on a full morphological analysis of a network to systematically analyse conductive networks and show how particles are arranged. This study provides useful information for designing these types of materials and examples suitable for characterizing important features, such as representative volume element, the role of nanotube tortuosity and the role of tunneling cutoff distance.
dc.description.sponsorshipWe thank SABIC for providing funds for this research. In particular, we gratefully acknowledge research support from Dr. Amit Tevtia (SABIC CRD Saudi Arabia). This research was also supported by funding from King Abdullah University of Science and Technology (KAUST).
dc.publisherElsevier BV
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0927025617300022
dc.subjectPercolation
dc.subjectCarbon nanotube
dc.subjectComposites
dc.subjectMicrostructure
dc.subjectElectrical conductivity
dc.titleA morphological investigation of conductive networks in polymers loaded with carbon nanotubes
dc.typeArticle
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.identifier.journalComputational Materials Science
dc.contributor.institutionSaudi Basic Industries Corporation, 1600 Industrial Blvd., Sugar Land, TX 77478, USA
dc.contributor.institutionSaudi Basic Industries Corporation, P.O. Box 319, 6160 AH Geleen, The Netherlands
kaust.personLubineau, Gilles
kaust.personMora Cordova, Angel
kaust.personHan, Fei


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