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Cited by 324

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Investigation of surface Sr segregation in model thin film solid oxidefuel cell perovskite electrodes

Jung, WooChul, Tuller, Harry L.·2012·Energy Environ. Sci.

Abstract

While SOFC perovskite oxide cathodes have been the subject of numerous studies, the critical factors governing their kinetic behavior have remained poorly understood. This has been due to a number of factors including the morphological complexity of the electrode and the electrode- electrolyte interface as well as the evolution of the surface chemistry with varying operating conditions. In this work, the surface chemical composition of dense thin film SrTi1−xFexO3-δelectrodes, with considerably simplified and well-defined electrode geometry, was investigated by means of XPS, focusing on surface cation segregation. An appreciable degree of Sr-excess was found at the surface of STF specimens over the wide composition range studied. The detailed nature of the Sr-excess is discussed by means of depth and take-off angle dependent XPS spectra, in combination with chemical and thermal treatments. Furthermore, the degree of surface segregation was successfully controlled by etching the films, and/or preparing intentionally Sr deficient films. Electrochemical Impedance Spectroscopy studies, under circumstances where surface chemistry was controlled, were used to examine and characterize the blocking effect of Sr segregation on the surface oxygen exchange rate.

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Metadata

Authors
Jung, W., & Tuller, H. L.
Venue
Energy Environ. Sci.
Published
2012
Volume
5
Issue
1
Pages
5370-5378
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2169562460
Cited by
324
References
1
FWCI
4.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Investigation of surface Sr segregation in model thin film solid oxidefuel cell perovskite electrodes. https://app.cochat.ai/papers/10.1039/c1ee02762j
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Jung, W., & Tuller, H. L. (2012). Investigation of surface Sr segregation in model thin film solid oxidefuel cell perovskite electrodes. Energy Environ. Sci. https://doi.org/10.1039/c1ee02762j

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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