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Molecular Cocrystal Strategy for Retinamorphic Vision with UV–Vis–NIR Perception and Fast Recognition

ACS Nano [2025]
Xue-Mei Dong, Chen Chen, Yin-Xiang Li, Hong-Chao Sun, Bin Liu, Zi-Fan Li, Kai-Li Wang, Zi-Xi He, Meng-Na Yu, Wei Huang, Ju-Qing 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 × 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.

MATERIALS

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