Defect-Triggered Phase Transition in Cesium Lead Halide Perovskite Nanocrystals

Ju-Ping Ma, Jun Yin, Ya-Meng Chen, Qing Zhao, Yang Zhou, Hong Li, Yoshihiro Kuroiwa, Chikako Moriyoshi, Zhi-Yong Li, Osman Bakr, Omar F. Mohammed, Hong-Tao Sun

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47 Scopus citations


All-inorganic perovskite nanocrystals (NCs) have emerged as a class of low-cost and high-efficiency light-emitting materials. However, the structure and phase transition behavior of these NCs remain poorly understood. Here, we provide unambiguous evidence that all these properties are associated with structural defects in NCs. Using CsPbCl3 NCs as a model system, we find that the cubic subdomains in highly defective NCs gradually convert to the orthorhombic upon cooling room-temperature quasi-cubic NCs, whereas high-quality cousins, with mixed cubic and orthorhombic subdomains at room temperature, exhibit a significant resistance for such a phase transition. Car-Parrinello molecular dynamics simulations unveil the important role of point defects in triggering a stepwise, reversible phase transition of CsPbCl3 NCs. Importantly, we show that the defect-triggered phase transition also exists in other all-inorganic perovskite NCs. Our findings provide new insight into the structure and phase transition of CsPbX3 NCs and highlight the important role of defects in impacting these properties.
Original languageEnglish (US)
Pages (from-to)185-191
Number of pages7
JournalACS Materials Letters
Issue number1
StatePublished - Jun 14 2019

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 two projects funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) and the State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences. The SPring-8 experiment was carried out with the approval of the Japan Synchrotron Radiation Research Institute (JASRI; Proposal No. 2017B1309). Computational work was supported by the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST).


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