Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework

Chatura Samarakoon, Hyung Woo Choi, Sanghyo Lee, Xiang-Bing Fan, Dong-Wook Shin, Sang Yun Bang, Jeong-Wan Jo, Limeng Ni, Jiajie Yang, Yoonwoo Kim, Sung-Min Jung (), Luigi G. Occhipinti, Gehan A. J. Amaratunga and Jong Min Kim
Additional contact information
Chatura Samarakoon: University of Cambridge
Hyung Woo Choi: University of Cambridge
Sanghyo Lee: University of Cambridge
Xiang-Bing Fan: University of Cambridge
Dong-Wook Shin: University of Cambridge
Sang Yun Bang: University of Cambridge
Jeong-Wan Jo: University of Cambridge
Limeng Ni: University of Cambridge
Jiajie Yang: University of Cambridge
Yoonwoo Kim: University of Cambridge
Sung-Min Jung: University of Cambridge
Luigi G. Occhipinti: University of Cambridge
Gehan A. J. Amaratunga: University of Cambridge
Jong Min Kim: University of Cambridge

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-31853-9

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