Doping Induces Structural Phase Transitions in All-Inorganic Lead Halide Perovskite Nanocrystals

Ju-Ping Ma, Jia-Kai Chen, Jun Yin, Bin-Bin Zhang, Qing Zhao, Yoshihiro Kuroiwa, Chikako Moriyoshi, Lili Hu, Osman Bakr, Omar F. Mohammed, Hong-Tao Sun

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48 Scopus citations

Abstract

Doping engineering has emerged as one of the most powerful approaches to impart new optical and electronic properties to halide perovskite nanocrystals (NCs). However, the impact of dopants on the structure of perovskite NCs remains poorly understood. Here, we report on the finding of dopinginduced structural phase transitions occurring in all-inorganic perovskite NCs. Using Ni2+-doped CsPbCl3 NCs as a model system, we show that Ni2+ doping causes the coexistence of dual subdomains of cubic and orthorhombic phases and inhibits the phase transition from cubic to orthorhombic in NCs with negligible atomic vacancies as the temperature decreases. Car− Parrinello molecular dynamics simulations reveal that the dopinginduced structural phase transition results from the dopantenabled release of lattice strain and a temperature-insensitive local structural change in the doped region of NCs. Since size mismatch between dopants and replaced ions widely exists in doped functional materials, our finding may not be limited to halide perovskite NCs, but could have implications even for other classes of doped NCs and bulk materials
Original languageEnglish (US)
Pages (from-to)367-375
Number of pages9
JournalACS Materials Letters
Volume2
Issue number4
DOIs
StatePublished - Mar 9 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the National Natural Science Foundation of China (Grant Nos. 11874275 and 11574225), and one project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). The SPring-8 experiment was performed with the approval of the Japan Synchrotron Radiation Research Institute (JASRI) (Proposal No. 2019B1056). Computational
work was supported by Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST).

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