Thermodynamic stability descriptor of A2BX6-type perovskite materials

The toxicity issue and unsatisfactory thermodynamic stability of Pb-based perovskites pose the most critical challenge for practical commercialization. Among the remaining alternatives, A 2 BX 6 -type vacancy ordered double perovskites have attracted significant attention. With the success achieved by A 2 BX 6 -type materials, the design of stable and non-toxic A 2 BX 6 -type materials has consistently remained a prominent concern. The incorporation of stability descriptors has played a crucial role in the design and exploration of conventional single and double perovskites. However, due to the significantly more relaxed arrangement exhibited by the octahedral structure of A 2 BX 6 compared to that of ABX 3 and A 2 B 1 B 3 X 6 , traditional descriptors have proven ineffective in establishing a structure-stability relationship for A 2 BX 6 . An explicit descriptor for the stability of A 2 BX 6 -type perovskite materials in this study has been developed through the utilization of symbolic regression algorithm. The accuracy of ∼90 %, which is significantly higher than traditional stability descriptors, and also comparable to that of black-box machine learning models. The utilization of this efficient descriptor facilitates the design stable vacancy ordered double perovskite materials. • Thermodynamic stability descriptor of A 2 BX 6 compounds has been constructed. • Symbolic regression algorithm has been applied to explore descriptors. • The descriptor performs significantly better than traditional descriptors for A 2 BX 6 perovskites.

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Publication Details

Journal
Materials Chemistry and Physics
Published
2024-12-24
DOI
https://doi.org/10.1016/j.matchemphys.2024.130324
Citations
12
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
2.50

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article

Thermodynamic stability descriptor of A2BX6-type perovskite materials

Peng Xu, Xiaoxia Yang, Yi Han, Fuxiang Liu
12 citations
Materials Chemistry and Physics
Perovskite Materials and Applications
2.50
article

Thermodynamic stability descriptor of A2BX6-type perovskite materials

Peng Xu, Xiaoxia Yang, Yi Han, Fuxiang Liu
article en
12 citations

Abstract

The toxicity issue and unsatisfactory thermodynamic stability of Pb-based perovskites pose the most critical challenge for practical commercialization. Among the remaining alternatives, A 2 BX 6 -type vacancy ordered double perovskites have attracted significant attention. With the success achieved by A 2 BX 6 -type materials, the design of stable and non-toxic A 2 BX 6 -type materials has consistently remained a prominent concern. The incorporation of stability descriptors has played a crucial role in the design and exploration of conventional single and double perovskites. However, due to the significantly more relaxed arrangement exhibited by the octahedral structure of A 2 BX 6 compared to that of ABX 3 and A 2 B 1 B 3 X 6 , traditional descriptors have proven ineffective in establishing a structure-stability relationship for A 2 BX 6 . An explicit descriptor for the stability of A 2 BX 6 -type perovskite materials in this study has been developed through the utilization of symbolic regression algorithm. The accuracy of ∼90 %, which is significantly higher than traditional stability descriptors, and also comparable to that of black-box machine learning models. The utilization of this efficient descriptor facilitates the design stable vacancy ordered double perovskite materials. • Thermodynamic stability descriptor of A 2 BX 6 compounds has been constructed. • Symbolic regression algorithm has been applied to explore descriptors. • The descriptor performs significantly better than traditional descriptors for A 2 BX 6 perovskites.

Materials Chemistry and PhysicsVol. 333
China Three Gorges University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Perovskite Materials and Applications
2.50
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