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Optoelectronic System and Device Integration for Quantum-Dot Light-Emitting Diode White Lighting with Computational Design Framework

Published version
Peer-reviewed

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Authors

Samarakoon, Chatura  ORCID logo  https://orcid.org/0000-0002-6732-4056
Choi, Hyung Woo 
Lee, Sanghyo 
Fan, Xiangbing 
Shin, Dongwook 

Abstract

We propose a computational design framework to design the architecture of a white lighting system having multiple pixelated patterns of electric-field-driven quantum dot light-emitting diodes. The quantum dot of the white lighting system has been optimised by a system-level combinatorial colour optimisation process with the Nelder-Mead algorithm used for machine learning. The layout of quantum dot patterns is designed precisely using rigorous device-level charge transport simulation with an electric-field dependent charge injection model. A theoretical maximum of 97% colour rendering index has been achieved with red, green, cyan, and blue quantum dot light-emitting diodes as primary colours. The white lighting system has been fabricated using the transfer printing technique to validate the computational design framework. It exhibits excellent lighting performance of 92% colour rendering index and wide colour temperature variation from 1612 K to 8903 K with only the four pixelated quantum dots as primary.

Description

Keywords

Article, /639/166/987, /639/624/1020, /639/925/357/1017, /132, /119, article

Journal Title

Nature Communications

Conference Name

Journal ISSN

2041-1723
2041-1723

Volume Title

Publisher

Nature Research
Sponsorship
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (685758)
Engineering and Physical Sciences Research Council (EP/N509620/1)
Engineering and Physical Sciences Research Council (EP/P027628/1)
UK Engineering and Physical Sciences Research Council (EPSRC) project EP/P027628/1 Smart Flexible Quantum Dot Lighting’ and by the European Union under H2020 grant agreement No 685758 ‘1D-NEON’ EPSRC through the doctoral training partnership (DTP) scheme, studentship award EP/N509620/1