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Mixing Entropy-Induced Layering Polydispersity Enabling Efficient and Stable Perovskite Nanocrystal Light-Emitting Diodes

By Sudhir Kumar (26282), Jakub Jagielski (2570218), Tian Tian (170088), Nikolaos Kallikounis (4339081), Wan-Chi Lee (1542904) and Chih-Jen Shih (1486990)

Abstract

Colloidal perovskite nanocrystals are emerging as one of the most promising candidates for next-generation monochromatic light sources that require precise bandgap tunability. However, the current efficiency (η<sub>CE</sub>) and operational lifetime in their light-emitting diodes (LEDs) remain low due to impeded carrier transport and exciton quenching through the NC ligand layer. Here, we show that the fundamental limitation can be overcome in the superstructures containing polydisperse colloidal quantum wells of organic–inorganic hybrid perovskites. The mixing entropy-induced layering polydispersity promotes the delayed radiative energy transfer (DRET) that guides exciton transport with negligible nonradiative losses, boosting the thin-film photoluminescence quantum yield >96%. By using the superstructures in LEDs, we report a η<sub>CE</sub> of 30.4 cd A<sup>–1</sup>, with an operational lifetime (LT<sub>50</sub>) of 184 min at a high constant driving current of 10 mA cm<sup>–2</sup>. These are among the most high-performance colloidal perovskite nanocrystals LEDs ever demonstrated

Topics: Biophysics, Neuroscience, Physiology, Pharmacology, Biotechnology, Space Science, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, Stable Perovskite Nanocrystal Light-Emitting Diodes Colloidal perovskite nanocrystals, LT 50, NC ligand layer, DRET, bandgap tunability, thin-film photoluminescence quantum, nonradiative losses, guides exciton transport, η CE, light-emitting diodes, light sources, Mixing Entropy-Induced Layering Polydispersity Enabling Efficient, 30.4 cd, 184 min, quantum wells, exciton quenching, superstructure, lifetime, carrier transport, radiative energy transfer, perovskite nanocrystals LEDs
Year: 2018
DOI identifier: 10.1021/acsenergylett.8b02013.s001
OAI identifier: oai:figshare.com:article/7429964
Provided by: FigShare
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