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

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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, 2022. "Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31853-9
    DOI: 10.1038/s41467-022-31853-9
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    References listed on IDEAS

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    1. Moon Kee Choi & Jiwoong Yang & Kwanghun Kang & Dong Chan Kim & Changsoon Choi & Chaneui Park & Seok Joo Kim & Sue In Chae & Tae-Ho Kim & Ji Hoon Kim & Taeghwan Hyeon & Dae-Hyeong Kim, 2015. "Wearable red–green–blue quantum dot light-emitting diode array using high-resolution intaglio transfer printing," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    2. Tae-Ho Kim & Dae-Young Chung & JiYeon Ku & Inyong Song & Soohwan Sul & Dae-Hyeong Kim & Kyung-Sang Cho & Byoung Lyong Choi & Jong Min Kim & Sungwoo Hwang & Kinam Kim, 2013. "Heterogeneous stacking of nanodot monolayers by dry pick-and-place transfer and its applications in quantum dot light-emitting diodes," Nature Communications, Nature, vol. 4(1), pages 1-12, December.
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