Electrical conductivity and chemical diffusion in Perovskite-type proton conductors in H2-H2O gas mixtures

Keiji Yashiro, Satoshi Akoshima, Takao Kudo, Masatsugu Oishi, Hiroshige Matsumoto, Kazuhisa Sato, Tatsuya Kawada, Junichiro Mizusaki

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)


    The electrical conductivities of SrZr0.9Y0.1O 3-δ (SZY10) and BaCe0.95Y0.05O 3-δ(BCY5) were measured as a function of hydrogen partial pressure P(H2), oxygen partial pressure P(O2), steam partial pressure P(H2O) and temperature. Their relaxation processes were analyzed using the solution of Fick's diffusion equation to determine the chemical diffusion coefficients and surface reaction rate constants. There were the differences in chemical relaxation kinetics and the conductivity dependence on P(H2O) between the both oxides. The chemical diffusion coefficients depend on temperature but are essentially independent of P(H 2), P(O2) and P(H2O). The ambipolar diffusion treatment can explain the temperature dependence of chemical diffusion coefficients quantitatively. The chemical diffusion coefficients of SZY10 is one or two order of magnitude smaller than those of BCY5 at low temperature. The sluggish conductivity relaxation in SZY10 was due to considerably small oxygen vacancy diffusion coefficients at low temperatures. The total conductivity depends on P(H2O) in the case of SZY10, but not for BCY5. This different dependence on P(H2O) is caused by the difference in the ratio between proton mobility and oxide-ion mobility.

    Original languageEnglish
    Pages (from-to)76-82
    Number of pages7
    JournalSolid State Ionics
    Issue number1
    Publication statusPublished - Jun 16 2011

    All Science Journal Classification (ASJC) codes

    • General Chemistry
    • General Materials Science
    • Condensed Matter Physics


    Dive into the research topics of 'Electrical conductivity and chemical diffusion in Perovskite-type proton conductors in H2-H2O gas mixtures'. Together they form a unique fingerprint.

    Cite this