神经形态工程学
记忆电阻器
异质结
材料科学
光电子学
计算机科学
光子学
纳米棒
接口(物质)
可穿戴计算机
逻辑门
电子工程
光电导性
突触重量
限制
电导
纳米技术
卷积神经网络
人工神经网络
光开关
图像传感器
可穿戴技术
人工智能
作者
Subham Saha,Shreyasi Das,Baidyanath Roy,Santu Kumar Ghosh,Rohit Satpathy,James Bullock,Ranjith Rajasekharan Unnithan,Samit Kumar Ray
出处
期刊:Small
[Wiley]
日期:2026-08-25
卷期号:: e75437-e75437
摘要
ABSTRACT Bio‐inspired photonic synapses integrate optical sensing, memory, and processing in a single platform, overcoming the bottlenecks of traditional CMOS‐based vision sensors. Most existing neuromorphic vision systems either rely on electrical inputs for bidirectional conductance modulation, limiting their operating speed and bandwidth, or lack nonvolatility, leading to nonlinear weight updates and poor efficiency in image recognition tasks. Here, we report a two‐terminal, fully light‐controlled synaptic memristor based on CsPbBr 3 /ZnO nanorod heterojunction that demonstrates 4‐bit memory storage and optical logic operations within a single architecture. The device emulates essential functions of both excitatory and inhibitory synapses, utilizing positive photoconductivity under UV illumination (λ = 375 nm) and anomalous negative photoconductivity under visible light (λ = 450 nm). By controlling defect concentrations at the CsPbBr 3 /ZnO nanorod interface, the device exhibits nonvolatile multibit memory with near‐linear, symmetric conductance modulation, achieving 92.4% image recognition accuracy with a convolutional neural network. The bidirectional photoresponse enables reconfigurable optical logic operations, demonstrating integrated logic‐in‐memory. Additionally, when integrated on a flexible platform, the device demonstrates stable synaptic performance under repeated mechanical bending. These results highlight the potential of CsPbBr 3 /ZnO nanorod heterojunction‐based all‐photonic synapses as building blocks for multibit storage, optical information processing, and wearable neuromorphic vision systems.
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