Color-pure red light-emitting diodes based on two-dimensional lead-free perovskites

Fanglong Yuan, Xiaopeng Zheng, Andrew K. Johnston, Ya-Kun Wang, Chun Zhou, Yitong Dong, Bin Chen, Haijie Chen, James Z. Fan, Geetu Sharma, Peicheng Li, Yuan Gao, Oleksandr Voznyy, Hao-Ting Kung, Zhenghong Lu, Osman Bakr, E. Sargent

Research output: Contribution to journalArticlepeer-review

139 Scopus citations

Abstract

It remains a central challenge to the information display community to develop red light-emitting diodes (LEDs) that meet demanding color coordinate requirements for wide color gamut displays. Here, we report high-efficiency, lead-free (PEA)2SnI4 perovskite LEDs (PeLEDs) with color coordinates (0.708, 0.292) that fulfill the Rec. 2100 specification for red emitters. Using valeric acid (VA)—which we show to be strongly coordinated to Sn$^{2+}$—we slow the crystallization rate of the perovskite, improving the film morphology. The incorporation of VA also protects tin from undesired oxidation during the film-forming process. The improved films and the reduced Sn$^{4+}$ content enable PeLEDs with an external quantum efficiency of 5% and an operating half-life exceeding 15 hours at an initial brightness of 20 cd/m$^{2}$. This work illustrates the potential of Cd- and Pb-free PeLEDs for display technology.
Original languageEnglish (US)
Pages (from-to)eabb0253
JournalScience advances
Volume6
Issue number42
DOIs
StatePublished - Oct 14 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-11-03
Acknowledgements: E.H.S. and all coauthors from the Department of Electrical and Computer Engineering at the University of Toronto acknowledge the financial support from the Ontario Research Fund–Research Excellence Program, the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Global Research Outreach program of Samsung Advanced Institute of Technology. Z.-H.L. and all coauthors from the Department of Materials Science and Engineering at the University of Toronto acknowledge the financial support from the NSERC (grant number 216956-12) and the National Natural Science Foundation of China (grant number 11774304). Computations were performed on the Niagara supercomputer at the SciNet HPC Consortium. SciNet is funded by the Canada Foundation for Innovation, the Government of Ontario, Ontario Research Fund–Research Excellence, and the University of Toronto.

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