A morphological investigation of conductive networks in polymers loaded with carbon nanotubes

Handle URI:
http://hdl.handle.net/10754/622802
Title:
A morphological investigation of conductive networks in polymers loaded with carbon nanotubes
Authors:
Lubineau, Gilles ( 0000-0002-7370-6093 ) ; Mora Cordova, Angel; Han, Fei ( 0000-0002-8050-3657 ) ; Odeh, I.N.; Yaldiz, R.
Abstract:
Loading 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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Lubineau 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.
Publisher:
Elsevier BV
Journal:
Computational Materials Science
Issue Date:
13-Jan-2017
DOI:
10.1016/j.commatsci.2016.12.041
Type:
Article
ISSN:
0927-0256
Sponsors:
We 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).
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0927025617300022
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLubineau, Gillesen
dc.contributor.authorMora Cordova, Angelen
dc.contributor.authorHan, Feien
dc.contributor.authorOdeh, I.N.en
dc.contributor.authorYaldiz, R.en
dc.date.accessioned2017-01-29T13:51:40Z-
dc.date.available2017-01-29T13:51:40Z-
dc.date.issued2017-01-13en
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.en
dc.identifier.issn0927-0256en
dc.identifier.doi10.1016/j.commatsci.2016.12.041en
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.en
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).en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0927025617300022en
dc.subjectPercolationen
dc.subjectCarbon nanotubeen
dc.subjectCompositesen
dc.subjectMicrostructureen
dc.subjectElectrical conductivityen
dc.titleA morphological investigation of conductive networks in polymers loaded with carbon nanotubesen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalComputational Materials Scienceen
dc.contributor.institutionSaudi Basic Industries Corporation, 1600 Industrial Blvd., Sugar Land, TX 77478, USAen
dc.contributor.institutionSaudi Basic Industries Corporation, P.O. Box 319, 6160 AH Geleen, The Netherlandsen
kaust.authorLubineau, Gillesen
kaust.authorMora Cordova, Angelen
kaust.authorHan, Feien
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