Global instability index as a crystallographic stability descriptor of halide and chalcogenide perovskites

被引:28
作者
Feng, Weiqiang [1 ]
Zhao, Ruoting [2 ,3 ]
Wang, Xiaoyu [2 ,3 ]
Xing, Bangyu [2 ,3 ]
Zhang, Yilin [2 ,3 ]
He, Xin [2 ,3 ]
Zhang, Lijun [2 ,3 ]
机构
[1] Jilin Univ, Coll Chem, State Key Lab Inorgan Synth & Preparat Chem, Changchun 130012, Jilin, Peoples R China
[2] Jilin Univ, State Key Lab Superhard Mat, Key Lab Automobile Mat, MOE, Changchun 130012, Jilin, Peoples R China
[3] Jilin Univ, Coll Mat Sci & Engn, Changchun 130012, Jilin, Peoples R China
来源
JOURNAL OF ENERGY CHEMISTRY | 2022年 / 70卷
基金
中国博士后科学基金;
关键词
Organometal halide perovskites; Stability; Optoelectronics; Global instability index; First-principles calculations; BOND-VALENCE PARAMETERS; SOLAR-CELLS; STRUCTURAL STABILITY; FORMABILITY; DESIGN; DEGRADATION; EFFICIENCY; OXIDES; EU;
D O I
10.1016/j.jechem.2022.02.018
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Crystallographic stability is an important factor that affects the stability of perovskites. The stability dictates the commercial applications of lead-based organometal halide perovskites. The tolerance factor (t) and octahedral factor (mu) form the state-of-the-art criteria used to evaluate the perovskite crystallographic stability. We studied the crystallographic stabilities of halide and chalcogenide perovskites by exploring an effective alternative descriptor, the global instability index (GII) that was used as an indicator of the stability of perovskite oxides. We particularly focused on determining crystallographic reliability by calculating GII. We analyzed the bond valence models of the 243 halide and chalcogenide perovskites that occupied the lowest-energy cubic-phase structures determined by conducting the first-principles-based total energy minimization calculations. The decomposition energy (Delta H-D) reflects the thermodynamic stability of the system and is considered as the benchmark that helps assess the effectiveness of GII in evaluating the crystallographic stability of the systems under study. The results indicated that the accuracy of predicting thermodynamic stability was significantly higher when GII (73.6%) was analyzed compared to the cases when t (55%) and mu (39.1%) were analyzed to determine the stability. The results obtained from the machine learning-based data mining method further indicate that GII is an important descriptor of the stability of the perovskite family. (c) 2022 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by ELSEVIER B.V. and Science Press. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
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