材料科学
钙钛矿(结构)
适应(眼睛)
光电二极管
接口(物质)
脑-机接口
光电探测器
纳米技术
计算机科学
感觉系统
可视化
光电子学
人工智能
复合材料
神经科学
化学
生物
毛细管作用
脑电图
毛细管数
结晶学
作者
Junhua Kuang,Kai Liu,Minghui Liu,Mingchao Shao,Mingliang Zhu,Guocai Liu,Wei Wen,Jinyang Chen,Mingcong Qin,Zhichao Pan,Zhiyuan Zhao,Yunqi Liu,Yunlong Guo
标识
DOI:10.1002/adfm.202209502
摘要
Abstract Artificial sensory nerves can simulate the functions of visual perception and information processing of the human brain, which is indispensable for the immediate visualization of the environment and awareness requisite to avoid the potential harm. However, it still remains a long‐standing challenge to integrate recognition learning with real‐time processing function in a single device. Herein, an interface defects‐tuning strategy is proposed for developing a novel bi‐functional phototransistor. Benefiting from the tuned polymer‐perovskite layer‐heterointerface defects, the photogenerated charge trapping and de‐trapping capacities are significantly improved, thereby facilitating the photogenerated carrier separation and injection. The prepared organic‐inorganic hybrid phototransistors can perfectly mimic the human visual synaptic behaviors with a quick response speed (<35 ms, far below that of human eyes to incident light (225 ms)). More importantly, the phototransistor exhibited obvious visual adaptation toward wide‐ranging light stimuli, and realized unique desensitization to simulate the self‐protection behavior of the human visual systems. Specifically, the adaptation timescales of the device under dim and high light conditions are superior to bio‐systems (<2 min). Consequently, the reported strategy for the preparation of bi‐functional phototransistors provides a brand‐new perspective for next‐generation artificial nervous systems.
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