Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-09-18
Physics
Condensed Matter
Disordered Systems and Neural Networks
4.4 pages, 3 figures, corrected typos and references updated
Scientific paper
We report on a model of polymer nanocomposites with fibrous fillers which explicitly considers the microscopic filler features and replicates the composites as random distributions of particles interconnected via electron tunneling. By exploiting the critical path method, we are able to obtain simple formulas, applicable to most nanotube and nanofiber composites, which allow to infer the overall composite conductivity starting from few parameters like filler volume fraction, size, and aspect-ratio. The validity of our formulation is assessed by reinterpreting existing experimental results and by extracting the characteristic tunneling length, which is mostly found within its expected value range. These results can be used practically to tailor the electrical properties of nanocomposites.
Ambrosetti Gianluca
Danani Andrea
Grimaldi Claudio
Maeder Thomas
Ryser Peter
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