Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1998-08-18
Physics
Condensed Matter
Disordered Systems and Neural Networks
27 pages, RevTeX, epsf, 5 .eps figures, to be published in Phys. Rev. B
Scientific paper
10.1103/PhysRevB.58.11354
We suggest treating a conducting network of oriented polymer chains as an anisotropic fractal whose dimensionality D=1+\epsilon is close to one. Percolation on such a fractal is studied within the real space renormalization group of Migdal and Kadanoff. We find that the threshold value and all the critical exponents are strongly nonanalytic functions of \epsilon as \epsilon tends to zero, e.g., the critical exponent of conductivity is \epsilon^{-2}\exp (-1-1/\epsilon). The distribution function for conductivity of finite samples at the percolation threshold is established. It is shown that the central body of the distribution is given by a universal scaling function and only the low-conductivity tail of distribution remains $\epsilon $-dependent. Variable range hopping conductivity in the polymer network is studied: both DC conductivity and AC conductivity in the multiple hopping regime are found to obey a quasi-1d Mott law. The present results are consistent with electrical properties of poorly conducting polymers.
Epstein A. J.
Jastrabik L.
Prigodin Vladimir N.
Samukhin A. N.
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