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Stretchable colour-sensitive quantum dot nanocomposites for shape-tunable multiplexed phototransistor arrays

Cited 41 time in Web of Science Cited 45 time in Scopus
Authors

Song, Jun-Kyul; Kim, Junhee; Yoon, Jiyong; Koo, Ja Hoon; Jung, Hyunjin; Kang, Kyumin; Sunwoo, Sung-Hyuk; Yoo, Seungwon; Chang, Hogeun; Jo, Jinwoung; Baek, Woonhyuk; Lee, Sanghwa; Lee, Mincheol; Kim, Hye Jin; Shin, Mikyung; Yoo, Young Jin; Song, Young Min; Hyeon, TaeghwanKim, Dae-Hyeong; Son, Donghee

Issue Date
2022-08
Publisher
Nature Publishing Group
Citation
Nature Nanotechnology, Vol.17 No.8, pp.849-+
Abstract
High-performance photodetecting materials with intrinsic stretchability and colour sensitivity are key requirements for the development of shape-tunable phototransistor arrays. Another challenge is the proper compensation of optical aberrations and noises generated by mechanical deformation and fatigue accumulation in a shape-tunable phototransistor array. Here we report rational material design and device fabrication strategies for an intrinsically stretchable, multispectral and multiplexed 5 x 5 x 3 phototransistor array. Specifically, a unique spatial distribution of size-tuned quantum dots, blended in a semiconducting polymer within an elastomeric matrix, was formed owing to surface energy mismatch, leading to highly efficient charge transfer. Such intrinsically stretchable quantum-dot-based semiconducting nanocomposites enable the shape-tunable and colour-sensitive capabilities of the phototransistor array. We use a deep neural network algorithm for compensating optical aberrations and noises, which aids the precise detection of specific colour patterns (for example, red, green and blue patterns) both under its flat state and hemispherically curved state (radius of curvature of 18.4 mm). Intrinsically stretchable quantum-dot-based semiconducting nanocomposites enable the realization of shape-tunable and colour-sensitive phototransistor arrays.
ISSN
1748-3387
URI
https://hdl.handle.net/10371/185484
DOI
https://doi.org/10.1038/s41565-022-01160-x
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  • College of Engineering
  • School of Chemical and Biological Engineering
Research Area Chemistry, Materials Science

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