journal article·2007-11

Cooperative mechanisms of fast-ion conduction in gallium-based oxides with tetrahedral moieties

Emma Kendrick, John Kendrick, Kevin S. Knight, M. Saiful Islam, Peter R. Slater

Nature Materials· Volume 6· Issue 11
Publisher page

Abstract

The need for greater energy efficiency has garnered increasing support for the use of fuel-cell technology, a prime example being the solid-oxide fuel cell. A crucial requirement for such devices is a good ionic (O(2-) or H+) conductor as the electrolyte. Traditionally, fluorite- and perovskite-type oxides have been targeted, although there is growing interest in alternative structure types for intermediate-temperature (400-700 ( composite function)C) solid-oxide fuel cells. In particular, structures containing tetrahedral moieties, such as La(1-x)Ca(x)MO(4-x/2)(M=Ta,Nb,P) (refs 7,8), La(1-x)Ba(1+x)GaO(4-x/2) (refs 9,10) and La(9.33+x)Si(6)O(26+3x/2) (ref. 11), have been attracting considerable attention recently. However, an atomic-scale understanding of the conduction mechanisms in these systems is still lacking; such mechanistic detail is important for developing strategies for optimizing the conductivity, as well as identifying next-generation materials. In this context, we report a combined experimental and computational modelling study of the La(1-x)Ba(1+x)GaO(4-x/2) system, which exhibits both proton and oxide-ion conduction. Here we show that oxide-ion conduction proceeds via a cooperative 'cog-wheel'-type process involving the breaking and re-forming of Ga(2)O(7) units, whereas the rate-limiting step for proton conduction is intra-tetrahedron proton transfer. Both mechanisms are unusual for ceramic oxide materials, and similar cooperative processes may be important in related systems containing tetrahedral moieties.
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Research context

OpenAlex topics: Advancements in Solid Oxide Fuel Cells · Thermal Expansion and Ionic Conductivity · Electronic and Structural Properties of Oxides

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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