4.8 Article

Accurate prediction of oxygen vacancy concentration with disordered A-site cations in high-entropy perovskite oxides

期刊

NPJ COMPUTATIONAL MATERIALS
卷 9, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41524-023-00981-1

关键词

-

向作者/读者索取更多资源

Using binary and quaternary A-site mixed {A}FeO(3) as a model system, we found that as more cation types are mixed on the A-site, the cell lattice becomes more cubic-like but the local Fe-O octahedrons are more distorted. By comparing different statistical models with experiments, we showed that considering the oxygen vacancy formation energies (E-V(f)) distribution and the vacancy interactions is crucial for accurately predicting the oxygen nonstoichiometry (delta). The E-V(f) distribution, including both the average and the spread, can be optimized to improve delta delta in some hydrogen production levels for solar thermochemical hydrogen production.
Entropic stabilized ABO(3) perovskite oxides promise many applications, including the two-step solar thermochemical hydrogen (STCH) production. Using binary and quaternary A-site mixed {A}FeO(3 )as a model system, we reveal that as more cation types, especially above four, are mixed on the A-site, the cell lattice becomes more cubic-like but the local Fe-O octahedrons are more distorted. By comparing four different Density Functional Theory-informed statistical models with experiments, we show that the oxygen vacancy formation energies (E-V(f)) distribution and the vacancy interactions must be considered to predict the oxygen nonstoichiometry (delta) accurately. For STCH applications, the E-V(f) distribution, including both the average and the spread, can be optimized jointly to improve delta delta (difference of 6 between the two-step conditions) in some hydrogen production levels. This model can be used to predict the range of water splitting that can be thermodynamically improved by mixing cations in {A}FeO3 perovskites.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据