Molecular Cocrystal Strategy for Retinamorphic Vision with UV–Vis–NIR Perception and Fast Recognition
Xuemei Dong, Chen Chen, Yinxiang Li, Hongchao Sun, Bin Liu, Zifan Li, Kaili Wang, Zixi He, Meng‐Na Yu, Wei Huang, Juqing Liu
Abstract
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 × 10 12 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.