Efficient colloidal quantum dot light-emitting diodes operating in the second near-infrared biological window
Autor: | Anderson Emanuel Ximim Gavim, Abd. Rashid bin Mohd Yusoff, Fabio Kurt Schneider, Maria Vasilopoulou, Andreia G. Macedo, Byung Soon Kim, Athanassios G. Coutsolelos, Wilson Jose da Silva, Michael Papadakis, Hyeong Pil Kim, Mohd Asri Mat Teridi |
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Rok vydání: | 2019 |
Předmět: |
Photoluminescence
Materials science business.industry Energy conversion efficiency 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials law.invention 010309 optics Semiconductor law Quantum dot 0103 physical sciences Optoelectronics Quantum efficiency Spontaneous emission 0210 nano-technology business Diode Light-emitting diode |
Zdroj: | Nature Photonics. 14:50-56 |
ISSN: | 1749-4893 1749-4885 |
Popis: | Semiconductor colloidal quantum dots (CQDs) offer size- and composition-tunable luminescence of high colour purity. Importantly, their emission can be tuned deep into the second biological near-infrared (NIR-II) window (1,000–1,700 nm). However, applications are hindered by the low efficiencies achieved to date. Here, we report NIR-II CQD light-emitting diodes with an external quantum efficiency of 16.98% and a power conversion efficiency of 11.28% at wavelength 1,397 nm. This performance arises from device engineering that delivers a high photoluminescence quantum yield and charge balance close to unity. More specifically, we employed a binary emissive layer consisting of silica-encapsulated silver sulfide (Ag2S@SiO2) CQDs dispersed in a caesium-containing triple cation perovskite matrix that serves as an additional passivation medium and a carrier supplier to the emitting CQDs. The hole-injection contact also features a thin porphyrin interlayer to balance the device current and enhance carrier radiative recombination. Semiconductor nanocrystals with efficient tunable emission in the 1,000–1,700 nm window could prove useful for applications in deep biological imaging and sensing. |
Databáze: | OpenAIRE |
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