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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, G.A.J. Amaratunga, Jong Min Kim

2022Nature Communications34 citationsDOIOpen Access PDF

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.

Topics & Concepts

Quantum dotColor rendering indexLight-emitting diodeOptoelectronicsRendering (computer graphics)DiodeComputer scienceCyanElectric fieldPhysicsMaterials scienceOpticsArtificial intelligenceQuantum mechanicsQuantum Dots Synthesis And PropertiesOrganic Light-Emitting Diodes ResearchThin-Film Transistor Technologies
Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework | Litcius