共晶
材料科学
卷积神经网络
响应度
纳米线
仿真
计算机科学
神经形态工程学
人工智能
光电子学
人工神经网络
光电探测器
化学
分子
氢键
有机化学
经济
经济增长
作者
Xuemei Dong,Chen Chen,Yinxiang Li,Hongchao Sun,Bin Liu,Zifan Li,Kaili Wang,Zixi He,Meng‐Na Yu,Wei Huang,Juqing Liu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-01-31
卷期号:19 (5): 5718-5726
标识
DOI:10.1021/acsnano.4c16251
摘要
Neuromorphic vision sensors capable of multispectral perception and efficient recognition are highly desirable for bioretina emulation, but their realization is challenging. Here, we present a cocrystal strategy for preparing an organic nanowire retinamorphic vision sensor with UV-vis-NIR perception and fast recognition. By leveraging molecular-scale donor-acceptor interpenetration and charge-transfer interfaces, the cocrystal nanowire device exhibits ultrawide photoperception ranging from 350 to 1050 nm, fast photoresponse of 150 ms, high specific detectivity of 8.2 × 1012 Jones, and responsivity of 15 A W-1, as well as retina-like photosynaptic plasticity behaviors. Utilizing the sensor nerve and convolutional neural network, the architecture achieves 90% accuracy in recognizing colorful images. The cocrystal design offers an effective method for constructing nanowire photosynases with high performance in artificial visual systems.
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