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High Throughput Screening of Materials for Solid Oxide Fuel Cells

Published online by Cambridge University Press:  01 February 2011

John P. Lemmon ,
Venkatesan Manivannan ,
Tracey Jordan ,
Lamyaa Hassib ,
Oltea Siclovan ,
Michelle Othon  and
Mile Pilliod
John P. Lemmon
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Venkatesan Manivannan
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Tracey Jordan
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Lamyaa Hassib
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Oltea Siclovan
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Michelle Othon
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
Mile Pilliod
Affiliation:
General Electric Global Research, Niskayuna, Schenectady, NY 12309, USA.
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Abstract

State of the art commercial cathodes for solid oxide fuel cells (SOFC) include LaMnO3 with a zirconia-based electrolyte. However, the vacancy concentration in A site doped LaMnO3 is low, thus ionic conductivity is also very low (10−7 – 10−8 S/cm at 800 °C). The surface path dominates the reaction rate of the LaMnO3 cathode; therefore the optimized electrode is a porous composite material of both the cathode material and electrolyte and relies on triple-point boundaries for performance. The electrical conductivity and thermal expansion properties of this cathode material and other A3+B3+O3 perovskites can be tuned by substitution at the A and/or B site. The numerous combinations of composition, processing and microstructure needed for improved cathode performance is well suited for a high throughput screening (HTS) approach towards optimization and discovery. We present here a high throughput discovery process that includes, synthesis, performance testing and characterization techniques directed towards new low temperature SOFC cathode materials.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 804: Symposium JJ – Combinatorial and Artificial Intelligence Methods in Materials Science II , 2003 , JJ2.10
Copyright
Copyright © Materials Research Society 2004

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References

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