Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-02-25
Physics
Condensed Matter
Disordered Systems and Neural Networks
20 pages, 14 figures
Scientific paper
The \textit{I-V} characteristics of four conducting polymer systems like doped polypyrrole (PPy), poly 3,4 ethylene dioxythiophene (PEDOT), polydiacetylene (PDA) and polyaniline (PA) in as many physical forms have been investigated at different temperatures, quenched disorder and magnetic fields. Transport data clearly confirm the existence of a \textit{single} electric field scale in any system. Based upon this observation, a phenomenological scaling analysis is applied, leading to extraction of a concrete number $x_M$, called nonlinearity exponent. The latter serves to characterize a set of \textit{I-V} curves. The onset field $F_o$ at which conductivity starts deviating from its Ohmic value $\sigma_0$ scales as $F_o \sim \sigma_0^{x_M}$. Field-dependent data are shown to be described by Glatzman-Matveev multi-step tunneling model [JETP 67, 1276 (1988)] in a near-perfect manner over nine orders of magnitude in conductivity and five order of magnitudes in electric field. $x_M$ is found to possess both positive and negative values lying between -1/2 and 3/4. There is no theory at present for the exponent. Some issues concerning applicability of the Glatzman-Matveev model are discussed.
Bardhan K. K.
Bof Bufon C. C.
De Asok
Heinzel Thomas
Mukherjee C. D.
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