光电子学
异质结
材料科学
指纹(计算)
俘获
半导体
纳米技术
突触
功率消耗
电子
计算机科学
功率(物理)
记忆电阻器
半导体器件
指纹识别
砷化镓
集成电路
作者
Chao Xie,Cong Li,Hui Yu,Can Fu,Wenhua Yang,Liangpan Yang,Zhi Xiang Huang
出处
期刊:Nano Letters
[American Chemical Society]
日期:2025-09-25
卷期号:25 (40): 14686-14694
被引量:2
标识
DOI:10.1021/acs.nanolett.5c03851
摘要
Deep-ultraviolet (DUV) optoelectronic synapses (OSPs) are core components of next-generation biometric recognition systems. While devices based on inorganic wide-bandgap (WB) semiconductors achieved admirable synaptic performance, critical challenges still exist. Herein, we present low-temperature and solution-processable visible-blind DUV OSPs composed of two-dimensional WB perovskite/organic semiconductor vertical heterojunctions. By leveraging the electron trapping effect to spatially separate photoexcited electrons and holes, we can significantly enhance the persistent optoelectronic conductivity, enabling remarkably improved synaptic performance. An optimal device holds outstanding synaptic properties with improved short- to long-term memory capabilities. Importantly, it operates with an extremely low power consumption of 28.7 fJ per synaptic event, rivaling the energy efficiency of biological synapses (1-100 fJ). Finally, the device is successfully applied in a DUV fingerprint recognition system to preprocess fingerprint data, revealing an accuracy as high as 96.7%. This study lays the foundations for the design of high-performance, low-cost, and low-power DUV OSPs toward biometric recognition utilizations.
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