npj Computational Materials (Feb 2023)

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

  • Jiyun Park,
  • Boyuan Xu,
  • Jie Pan,
  • Dawei Zhang,
  • Stephan Lany,
  • Xingbo Liu,
  • Jian Luo,
  • Yue Qi

DOI
https://doi.org/10.1038/s41524-023-00981-1
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 13

Abstract

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Abstract Entropic stabilized ABO3 perovskite oxides promise many applications, including the two-step solar thermochemical hydrogen (STCH) production. Using binary and quaternary A-site mixed {A}FeO3 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 ( $${E}_{V}^{f}$$ E V f ) distribution and the vacancy interactions must be considered to predict the oxygen non-stoichiometry (δ) accurately. For STCH applications, the $${E}_{V}^{f}$$ E V f distribution, including both the average and the spread, can be optimized jointly to improve Δδ (difference of δ 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.