材料科学
质子
电导率
化学物理
接受者
掺杂剂
渗流阈值
兴奋剂
质子输运
渗透(认知心理学)
分子物理学
凝聚态物理
电阻率和电导率
化学
光电子学
物理化学
物理
生物
神经科学
量子力学
作者
Fabian M. Draber,Christiane Ader,John P. Arnold,Sebastian Eisele,Steffen Grieshammer,Shu Yamaguchi,Manfred Martin
出处
期刊:Nature Materials
[Nature Portfolio]
日期:2019-12-23
卷期号:19 (3): 338-346
被引量:89
标识
DOI:10.1038/s41563-019-0561-7
摘要
Acceptor-doped barium zirconate is a promising proton-conducting oxide for various applications, for example, electrolysers, fuel cells or methane-conversion cells. Despite many experimental and theoretical investigations there is, however, only a limited understanding as to how to connect the complex microscopic proton motion and the macroscopic proton conductivity for the full range of acceptor levels, from diluted acceptors to concentrated solid solutions. Here we show that a combination of density functional theory calculations and kinetic Monte Carlo simulations enables this connection. At low concentrations, acceptors trap protons, which results in a decrease of the average proton mobility. With increasing concentration, however, acceptors form nanoscale percolation pathways with low proton migration energies, which leads to a strong increase of the proton mobility and conductivity. Comparing our simulated proton conductivities with experimental values for yttrium-doped barium zirconate yields excellent agreement. We then predict that ordered dopant structures would not only strongly enhance the proton conductivities, but would also enable one- or two-dimensional proton conduction in barium zirconate. Finally, we show how the properties of other dopants influence the proton conductivity. Although acceptor-doped barium zirconate is a promising conductor for electrolysers or fuel cells, our understanding of the relationship between proton motion and conductivity is limited. Our simulations now suggest a generic nanoscale percolation mechanism for high mobility in other oxides.
科研通智能强力驱动
Strongly Powered by AbleSci AI