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    Electrical Percolation Behavior in Silver Nanowire–Polystyrene Composites: Simulation and Experiment

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    Date
    2010
    Author
    White, Sadie I
    Mutiso, Rose M
    Vora, Patrick M
    Jahnke, David
    Hsu, Sam
    Kikkawa, James M
    Fischer, John E
    Winey, Karen I
    Type
    Article
    Language
    en
    Metadata
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    Abstract
    The design and preparation of isotropic silver nanowire-polystyrene composites is described, in which the nanowires have finite L/D (< 35) and narrow L/D distribution. These model composites allow the L/D dependence of the electrical percolation threshold, ϕc, to be isolated for finite-L/D particles. Experimental ϕc values decrease with increasing L/D, as predicted qualitatively by analytical percolation models. However, quantitative agreement between experimental data and both soft-core and core–shell analytical models is not achieved, because both models are strictly accurate only in the infinite-L/D limit. To address this analytical limitation, a soft-core simulation method to calculate ϕc and network conductivity for cylinders with finite L/D are developed. Our simulated ϕc results agree strongly with our experimental data, suggesting i) that the infinite-aspect-ratio assumption cannot safely be made for experimental networks of particles with L/D < 35 and ii) in predicting ϕc, the soft-core model makes a less significant assumption than the infinite-L/D models do. The demonstrated capability of the simulations to predict ϕc in the finite-L/D regime will allow researchers to optimize the electrical properties of polymer nanocomposites of finite-L/D particles.
    URI
    http://onlinelibrary.wiley.com/doi/10.1002/adfm.201000451/abstract;jsessionid=530311E7B250425AD4CA4FBB7D3EB4E8.d03t03?deniedAccessCustomisedMessage=&userIsAuthenticated=false
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/35134
    Citation
    Volume 20, Issue 16, pages 2709–2716, August 23, 2010
    Publisher
    College of Physical and Biological Sciences
    Collections
    • Faculty of Science & Technology (FST) [4284]

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