Self-powered and broadband opto-sensor with bionic visual adaptation function based on multilayer γ-InSe flakes

• Published in: Light, science & applications Vol. 12; no. 1; pp. 180 - 11
• Main Authors: Liu, Weizhen, Yang, Xuhui, Wang, Zhongqiang, Li, Yuanzheng, Li, Jixiu, Feng, Qiushi, Xie, Xiuhua, Xin, Wei, Xu, Haiyang, Liu, Yichun
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.07.2023; Springer Nature B.V; Nature Publishing Group
• Subjects: 639/624/1075/1083; 639/766/1130/2799; Adaptation; Lasers; Light effects; Microwaves; Optical and Electronic Materials; Optical Devices; Optics; Photonics; Photosensitivity; Physics; Physics and Astronomy; RF and Optical Engineering; Sensors; Visual perception
• ISSN: 2047-7538; 2095-5545; 2047-7538
• DOI: 10.1038/s41377-023-01223-1

Visual adaptation that can autonomously adjust the response to light stimuli is a basic function of artificial visual systems for intelligent bionic robots. To improve efficiency and reduce complexity, artificial visual systems with integrated visual adaptation functions based on a single device should be developed to replace traditional approaches that require complex circuitry and algorithms. Here, we have developed a single two-terminal opto-sensor based on multilayer γ-InSe flakes, which successfully emulated the visual adaptation behaviors with a new working mechanism combining the photo-pyroelectric and photo-thermoelectric effect. The device can operate in self-powered mode and exhibit good human-eye-like adaptation behaviors, which include broadband light-sensing image adaptation (from ultraviolet to near-infrared), near-complete photosensitivity recovery (99.6%), and synergetic visual adaptation, encouraging the advancement of intelligent opto-sensors and machine vision systems. A single two-terminal opto-sensor based on multilayer γ-InSe flakes was developed and successfully emulated human-eye-like adaptation behaviors, which could motivate the further development of advanced opto-sensors and artificial visual systems.