Computer-simulation study of the conduction properties of conducting polymer fiber films.

Item

Title
Computer-simulation study of the conduction properties of conducting polymer fiber films.
Identifier
AAI8914742
identifier
8914742
Creator
Barve, Chandralekha Shrish.
Contributor
Adviser: Micha Tomkiewicz
Date
1988
Language
English
Publisher
City University of New York.
Subject
Physics, Condensed Matter
Abstract
We employ Computer Simulation techniques to study the effect of morphology on the conductivity properties of polymer fiber films. A Random Network Model is introduced where a model fibrous film is represented by an equivalent electrical network. The resulting complex random network problem is solved to determine the impedance of the system for various frequencies. We have analyzed the response of the system to see how various processes of conduction, and structural factors, contribute to the electrical properties of the system. For heavily doped films, the low and the high frequency behaviour of the impedance can be represented by passive networks; whereas, in mid-frequency range the system shows Constant Phase Angle (CPA) behaviour. The CPA slope {dollar}\beta{dollar} is found to be related to the fractal dimension D by a simple relation {dollar}\beta{dollar} = D {dollar}-{dollar} 1. Both {dollar}\beta{dollar} and D change linearly with the fractional volume occupied by the fibers. For lightly doped films, using Monte Carlo simulation of Kivelson's hopping model (Ki82), the conductivity of a single fiber is determined. The Random Network Model is then utilized to calculate the conductivity of the film. The dc conductivity is determined for various morphologies of the film, and a relationship between the dc conductivity of a fiber and that of the film is established. The complex conductivity {dollar}\sigma{dollar}({dollar}\omega{dollar}) is calculated in the frequency range 1 Hz to 1 MHz for various temperatures. The results are compared with experimental data.
Type
dissertation
Source
PQT Legacy CUNY.xlsx
degree
Ph.D.
Item sets
CUNY Legacy ETDs