The authors wish to thank Michael Petty for allowing use of the AC impedance spectroscopy facility. Thanks to Finlay Morrison and Ian Terry for useful discussions concerning impedance spectroscopy data analysis. Thanks to Andreas Roosen and Alfons Stiegelschmitt for the guidance provided in developing screen-printing procedures.
Studies of the Temperature and Frequency Dependent Impedance of an Electroceramic Functional Oxide NTC Thermistor†
Article first published online: 31 AUG 2007
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Advanced Functional Materials
Volume 17, Issue 16, pages 3170–3174, November, 2007
How to Cite
Schmidt, R. and Brinkman, A. W. (2007), Studies of the Temperature and Frequency Dependent Impedance of an Electroceramic Functional Oxide NTC Thermistor. Adv. Funct. Mater., 17: 3170–3174. doi: 10.1002/adfm.200600878
- Issue published online: 29 OCT 2007
- Article first published online: 31 AUG 2007
- Manuscript Revised: 12 FEB 2007
- Manuscript Received: 25 SEP 2006
- Charge transport;
- Polycrystalline materials
The charge transport mechanism and the macroscopic dielectric constant in polycrystalline device materials commonly exhibit several components such as electrode-sample interface, grain boundary and bulk contributions. In order to gain precise understanding of the functionality of polycrystalline electroceramic device materials it is essential to deconvolute these contributions. The paradigm of functional NTC thermistor ceramics based on thick film spinel manganates has been studied by temperature dependent alternating current impedance spectroscopy. Three typical relaxation phenomena were detected, which all showed a separated temperature dependence of resistivity consistent with thermally activated charge transport. The dominating grain boundary and the interface contributions exhibited distinctively different capacitance allowing clear identification. The composite nature of the dielectric properties in polycrystalline functional ceramics was emphasized, and impedance spectroscopy was shown to be a powerful tool to account for and model such behavior.