1997
DOI: 10.1143/jjap.36.3537
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Preparation and Electrical Properties of Conducting Polyaniline-Polycarbonate Composite Films

Abstract: The Newton-Kantorovich computational method is applied to the inverse problem of reconstructing a conductivity from given boundary measurements. This paper provides the theoretical analysis necessary to provide rigorous derivations of the Frechet differential. Linearisations of the non-linear problem are examined and a numerical procedure for reconstructing general conductivities suggested. This procedure is illustrated by reconstructing one-dimensional conductivities.

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Cited by 56 publications
(7 citation statements)
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“…The intensity of this band decreases rapidly once the polymer gets undoped. The band at 819 cm 21 confirms that the rings are joined in the polymer chain through para linkage. On recording the FTIR spectra of the polymer heated at 200 and 250 8C, sharp shifts in the characteristic bands of polyaniline has been observed (Fig.3, curves b and c).…”
Section: Ftir Analysismentioning
confidence: 66%
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“…The intensity of this band decreases rapidly once the polymer gets undoped. The band at 819 cm 21 confirms that the rings are joined in the polymer chain through para linkage. On recording the FTIR spectra of the polymer heated at 200 and 250 8C, sharp shifts in the characteristic bands of polyaniline has been observed (Fig.3, curves b and c).…”
Section: Ftir Analysismentioning
confidence: 66%
“…Similarly the peak at 1490 cm 21 observed for polyaniline at room temperature shifts to 1503 and 1518 cm 21 when the polyaniline is heated at 200 and 250 8C. The main characteristic strongest peak of polyaniline observed at 1141 cm 21 at room temperature gets shifted to 1161 cm 21 with a strong intensity when the polymer is heated at 200 8C, but shows a feeble signal at 1138 cm 21 when the polymer is heated at 250 8C. This shows that at 250 8C, the dopant moiety attached to polymer backbone completely comes out leading to weak signal of the characteristic band of the polymer.…”
Section: Ftir Analysismentioning
confidence: 74%
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