Projects per year
Abstract
The detailed study of the pump-intensity dependent characteristics of an all-inorganic CsPbBr3-in-Cs4PbBr6 quantum dot (QD) color converter is reported. This is an attractive material to color convert UV/blue GaN optical pump sources for digital lighting applications, e.g. visible light communications (VLC). It demonstrates narrow spectral emission (522 nm peak emission and < 20 nm full-width-at-half-maximum), invariant with the pump power density (from 0 to 7.15 kW/cm2). The optical bandwidth increases, from 10 MHz at 300 μW/cm2, up to 22 MHz at 3 W/cm2, and 41 MHz at 7.15 kW/cm2. This acceleration of the emission is ascribed to both an increase of the radiative decay rate in the low-pump-density regime, and to the emergence of non-radiative pathways at higher pump density. The higher bandwidth at high-pump density enables a 30% increase in the data rate of a free space VLC link using this color converter.
Original language | English |
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Pages (from-to) | 3504-3518 |
Number of pages | 15 |
Journal | Optical Materials Express |
Volume | 9 |
Issue number | 8 |
Early online date | 29 Jul 2019 |
DOIs | |
Publication status | Published - 1 Aug 2019 |
Keywords
- quantum dot
- colour converter
- pump power density
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Dive into the research topics of 'Pump-power-dependence of CsPbBr3-in-Cs4PbBr6 quantum dot color converter'. Together they form a unique fingerprint.Projects
- 2 Finished
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Light-controlled manufacturing of semiconductor structures: a platform for next generation processing of photonic devices
Martin, R., Dawson, M., Edwards, P., Skabara, P. & Watson, I.
EPSRC (Engineering and Physical Sciences Research Council)
1/07/17 → 31/07/22
Project: Research
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Ultra-Parallel Visible Light Communications (UP-VLC)
Dawson, M., Calvez, S. & Watson, I.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/12 → 28/02/17
Project: Research
Datasets
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CsPbBr3-in-Cs4PbBr6 quantum dot color converter
Leitao, M. (Creator), Laurand, N. (Supervisor) & Dawson, M. (Supervisor), University of Strathclyde, 30 Jul 2019
DOI: 10.15129/ec874959-0929-4f85-8812-f25bf2f96a93
Dataset