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High‐Performance Phototransistor Based on Graphene/Organic Heterostructure for In‐Chip Visual Processing and Pulse Monitoring

Chao Han, Xianchao Liu, Xingwei Han, Meiyu He, Jiayue Han, He Zhang, Xin Hou, Hongxi Zhou, He Yu, Zhiming Wu, Jun Gou, Jun Wang

2022Advanced Functional Materials39 citationsDOI

Abstract

Abstract 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 × 10 6 A W −1 ), an outstanding respond speed (rise time/fall time is 20 µs/8.4 ms), and a remarkable detectivity (1.47 × 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 study paves the way for the development of low‐light and bio‐signal sensitive artificial retinas in the future.

Topics & Concepts

Materials sciencePhotodiodeResponsivityOptoelectronicsPhotoplethysmogramSensitivity (control systems)PhotodetectorSIGNAL (programming language)GrapheneHeterojunctionChipNight visionSignal processingOpticsComputer scienceArtificial intelligenceComputer hardwareElectronic engineeringNanotechnologyComputer visionPhysicsTelecommunicationsDigital signal processingEngineeringFilter (signal processing)Programming languageAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsAdvanced Sensor and Energy Harvesting Materials