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

IF 16 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY ACS Nano Pub Date : 2025-02-11 Epub Date: 2025-01-31 DOI:10.1021/acsnano.4c16251
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
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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.

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具有UV-Vis-NIR感知和快速识别的视变性视觉分子共晶策略。
具有多光谱感知和高效识别能力的神经形态视觉传感器是生物视网膜仿真的理想选择,但其实现具有一定的挑战性。在这里,我们提出了一种共晶策略来制备具有紫外-可见-近红外感知和快速识别的有机纳米线视网膜视觉传感器。通过利用分子尺度的供体-受体互穿和电荷转移界面,该共晶纳米线器件具有350 ~ 1050 nm的超宽光敏,150 ms的快速光响应,8.2 × 1012 Jones的高比探测率和15 A W-1的响应率,以及类似视网膜的光突触可塑性行为。利用传感器神经和卷积神经网络,该架构对彩色图像的识别准确率达到90%。这种共晶设计为在人工视觉系统中构建高性能纳米线光合酶提供了一种有效的方法。
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来源期刊
ACS Nano
ACS Nano 工程技术-材料科学:综合
CiteScore
26.00
自引率
4.10%
发文量
1627
审稿时长
1.7 months
期刊介绍: ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.
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