材料科学
光电子学
异质结
双极扩散
钙钛矿(结构)
响应度
计算机科学
光子学
光电探测器
纳米技术
电子
物理
化学
结晶学
量子力学
作者
Xin Huang,Qingyuan Li,Wei Shi,Kai Li,Yunpeng Zhang,Yanwei Liu,Xiaofang Wei,Zhiyuan Zhao,Yunlong Guo,Yunqi Liu
出处
期刊:Small
[Wiley]
日期:2021-07-28
卷期号:17 (36): 2102820-2102820
被引量:41
标识
DOI:10.1002/smll.202102820
摘要
Artificial intelligence vision systems (AIVSs) with information sensing, processing, and storage functions are increasingly gaining attention in the science and technology community. Although synapse phototransistor (SPT) is one of the essential components in AIVSs, solution-processed large-area photonic synapses that can detect and recognize multi-wavelength light are highly desirable. One of the major challenges in this area is the inability of the available materials to distinguish colors from the visible light to the near-infrared (NIR) light for single carrier (hole-only or electron-only) SPTs owing to lack of cognitive elements. Herein, 2D perovskite/organic heterojunction (PEA2 SnI4 /Y6) ambipolar SPTs (POASPTs) are developed via solution process. The POASPTs can display dual-mode learning process, which can convert light signals into postsynaptic currents with excitement/inhibition modes (hole-transporting region) or inhibition/excitement (electron-transporting region). The POASPTs exhibit high responsivity to visible light (104 A W-1 ) and NIR light (200 A W-1 ), and effectively perform learning and memory simultaneously. The flexible POASPT arrays can successfully recognize the images of different colors of light. This study reveals that the fabricated POASPTs have great potentials in the development of large-area, high-efficiency, and low-cost AIVSs.
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