Journal
ADVANCED FUNCTIONAL MATERIALS
Volume 32, Issue 52, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202209680
Keywords
gate-tunable bi-directional photoresponses; graphene; organic phototransistors; in-chip processing; pulse monitoring; weak-light detection
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Funding
- National Natural Science Foundation of China (NSFC) [61922022, 62175026, 62171094, 62104026]
- Natural Science Foundation of Sichuan Province [2022NSFSC0960]
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This paper demonstrates a high-performance phototransistor based on graphene/organic heterojunction, which has superior sensitivity and response speed, and can be used for mimicking the real-time sensing and processing capabilities of human retina in high-efficient image processing, as well as real-time monitoring of human pulse signal and heart rate.
Mimicking the real-time sensing and processing capabilities of human retina opens up a promising pathway for achieving vision chips with high-efficient image processing. The development of retina-inspired vision chip also requires hardware with high sensitivity, fast image capture, and the ability to sense under various lighting conditions. Herein, a high-performance phototransistor based on graphene/organic heterojunction is demonstrated with a superior responsivity (2.86 x 10(6) A W-1), an outstanding respond speed (rise time/fall time is 20 mu s/8.4 ms), and a remarkable detectivity (1.47 x 10(14) Jones) at 650 nm. The phototransistor combines weak-light detection capability (minimum detectable light intensity down to 2.8 nW cm(-2)) with gate-tunable bi-directional photoresponse capable of simultaneously sensing and processing visual images for light intensities ranging over six orders magnitude (10-10(7)nW cm(-2)). Moreover, the phototransistor also exhibits an intriguing feature undiscovered in other retina-inspired devices, namely that it can real-time monitor the human pulse signal and heart rate by using photoplethysmography technology, and the measured heart rate error is only 0.87% compared with a commercially available sensor. This work paves the way for the development of low-light and bio-signal sensitive artificial retinas in the future.
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