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

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)5718-5726
Number of pages9
JournalACS Nano
Volume19
Issue number5
DOIs
StatePublished - 11 Feb 2025

Keywords

  • Artificial photosynapse
  • Cocrystal nanowire
  • Color recognition
  • Neuromorphic vision
  • Wideband perception

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