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Physical Review B
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Physical Review B
Article . 2011 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2011
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Nonlinearity exponents in lightly doped conducting polymers

Authors: Talukdar, D.; Nandi, U. N.; Bardhan, K. K.; Bufon, C. C. Bof; Heinzel, T.; De, A.; Mukherjee, C. D.;

Nonlinearity exponents in lightly doped conducting polymers

Abstract

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 $σ_0$ scales as $F_o \sim σ_0^{x_M}$. 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.

20 pages, 14 figures

Keywords

FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Top 10%
Green
bronze