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Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Electrical Percolation in Nanocomposites with Impenetrable Ellipsoidal Inclusion (Comprehensive Study of Tunneling, Geometry, Anisotropy and Mixing)

(2015) Electrical Percolation in Nanocomposites with Impenetrable Ellipsoidal Inclusion (Comprehensive Study of Tunneling, Geometry, Anisotropy and Mixing). Journal of Computational and Theoretical Nanoscience. pp. 1010-1016. ISSN 1546-1955

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Abstract

Electrical conductivity is a special feature of nanocomposites, which is the result of electrically percolated inclusions. Electrical percolation depends on so many factors and conditions such as electron tunneling distance, geometry, anisotropy and mixing of inclusions that we are about to analyze them. 3D Monte Carlo simulation adapted to study isotropic and anisotropic percolation threshold of ellipsoidal inclusions. With considering different tunneling distances and aspect ratios the percolation threshold analyzed for single type and mixing distribution of oblate and prolate ellipsoids. In anisotropic mode various orientation ranges adapted to evaluate its effect on percolation threshold, and to obtain the range which percolation threshold is minimum. Percolation threshold has been decreased by increasing tunneling distance and aspect ratio. In isotropic cases the percolation threshold is lower than anisotropic cases. Mixture of oblate and prolate ellipsoids result in lower percolation thresholds, however normal distribution of various aspect ratios, result in higher percolation threshold.

Item Type: Article
Keywords: Ellipsoidal Inclusions Percolation Threshold Electron Tunneling Isotropic/Anisotropic Mode Monte Carlo Simulation short-fiber composites carbon nanotubes polymer composites transport-properties conductivity threshold reconstruction coefficient simulation particles Chemistry Science & Technology - Other Topics Materials Science Physics
Divisions:
Page Range: pp. 1010-1016
Journal or Publication Title: Journal of Computational and Theoretical Nanoscience
Journal Index: ISI
Volume: 12
Number: 6
Identification Number: https://doi.org/10.1166/jctn.2015.3843
ISSN: 1546-1955
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/5459

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