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Dependence of the carrier mobility and trapped charge limited conduction on silver nanoparticles embedment in doped polypyrrole nanostructures
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10.1063/1.4824380
/content/aip/journal/jap/114/14/10.1063/1.4824380
http://aip.metastore.ingenta.com/content/aip/journal/jap/114/14/10.1063/1.4824380

Figures

Image of FIG. 1.
FIG. 1.

XRD patterns of CSA doped polypyrrole nanostructure and silver-polypyrrole nanocomposites.

Image of FIG. 2.
FIG. 2.

High resolution TEM image of the samples: (a) and (b) pure CSA doped polypyrrole at different magnifications; (c) SAD pattern of Fig. 2(a) ; (d) and (e) Silver-polypyrrole nanocomposite with 0.02 M AgNO at different magnifications; (f) SAD pattern of Fig. 2(e) ; (g) and (h) Silver-polypyrrole nanocomposite with 0.04 M AgNO at different magnifications; (i) SAD pattern of Fig. 2(g) .

Image of FIG. 3.
FIG. 3.

TGA curves of CSA doped polypyrrole nanostructure and silver/ polypyrrole nanocomposites, respectively, obtained under nitrogen atmosphere at a heating rate of 10 °C/min.

Image of FIG. 4.
FIG. 4.

Temperature dependent relative permittivity of all the samples obtained from the measured value of capacitance at 1 kHz frequency.

Image of FIG. 5.
FIG. 5.

characteristics of CSA doped polypyrrole nanostructure and silver/polypyrrole nanocomposites, respectively, in the temperature range 303–143 K, plotted in log-log scale.

Image of FIG. 6.
FIG. 6.

Current density (J) in the forward and backward sweep of voltage (V) in the linear scale at room temperature for different samples, showing symmetric J–V characteristics with the presence of charge trapping within the measured voltage range. Inset shows the same variation in the log-log scale.

Image of FIG. 7.
FIG. 7.

Calculated electric field and temperature dependent mobility for allthe samples. Solid lines are best fits of the data by Poole-Frenkel law [Eq. (4) ].

Image of FIG. 8.
FIG. 8.

Power law dependent plots of current densities within the measured electric field, for different samples at different temperatures. Solid lines are best fits of the data by Poole-Frenkel law [Eq. (4) ].

Image of FIG. 9.
FIG. 9.

(a) Temperature dependency of zero field mobility “ and effective zero field mobility “ for different samples as shown in the figure. Inset shows the variation of the fraction of free charge carriers “ with temperatures. Solid lines are best fits to Eq. (3) to get the activation energies as shown at the inset. (b) Variation of “ obtained from PF fits of different data (Figs. 7 and 8 ). Solid lines are best fits to Eq. (6) .

Image of FIG. 10.
FIG. 10.

Temperature variation of the characteristic energy E. Inset shows the above variation for the slope obtained from the J–V characteristics (Fig. 5(a) ).

Image of FIG. 11.
FIG. 11.

Schematic representation of localized trap states within the HOMO and LUMO band before and after the incorporation of silver nanoparticles within the polypyrrole matrix. E and E are the Fermi level and trap energy level, respectively.

Image of FIG. 12.
FIG. 12.

Variation of zero field mobility “ with temperature. Based upon temperature dependence of “,” two regions viz. PF (Arrhenius) and VRH (nonlinear) have been identified (marked by thick solid curves). Solid lines are best fits to Eqs. (5) and (13) , respectively.

Tables

Generic image for table
Table I.

Room temperature zero field mobility “ and parameters, obtained from the fitting of temperature dependent “ by Poole Frankel and Variable range hooping conduction mechanism for different samples.

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/content/aip/journal/jap/114/14/10.1063/1.4824380
2013-10-07
2014-04-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Dependence of the carrier mobility and trapped charge limited conduction on silver nanoparticles embedment in doped polypyrrole nanostructures
http://aip.metastore.ingenta.com/content/aip/journal/jap/114/14/10.1063/1.4824380
10.1063/1.4824380
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