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螺旋纳米纤维光电突触器件用于人工视觉神经系统。

Helical Nanofiber Photoelectric Synaptic Devices for an Artificial Vision Nervous System.

机构信息

National Engineering Lab of Special Display Technology, State Key Lab of Advanced Display Technology, Academy of Optoelectronic Technology, Hefei University of Technology, Hefei 230009, P. R. China.

Intelligent Interconnected Systems Laboratory of Anhui, Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronic Engineering, Hefei University of Technology, Hefei 230009, P. R. China.

出版信息

Nano Lett. 2023 Sep 13;23(17):8146-8154. doi: 10.1021/acs.nanolett.3c02266. Epub 2023 Aug 14.

DOI:10.1021/acs.nanolett.3c02266
PMID:37579217
Abstract

Inspired by the helical structure and the resultant exquisite functions of biomolecules, helical polymers have received increasing attention. Here, a series of poly(3-hexylthiophene)--poly(phenyl isocyanide) (P3HT--PPI) copolymers were prepared using a simple one-pot living polymerization method. Interestingly, the P3HT--PPI films were found to have a helical nanofiber structure. The corresponding device has superior optoelectronic properties, such as a broadened spectral response range from the visible band to the deep ultraviolet (DUV) and an approximately 5-fold longer carrier decay time after DUV light stimulation. An energy consumption of 1.44 fJ per synaptic event was obtained, which is the lowest energy consumption achieved so far with DUV light stimulation. The encryption and decryption of images are implemented using an array of devices. Finally, a photoreceptor neural pathway was constructed to achieve early warning for the recognition of the display of harmful light. This research provides an effective strategy for the development of a novel optoelectronic synaptic device.

摘要

受生物分子的螺旋结构和由此产生的精细功能的启发,螺旋聚合物受到了越来越多的关注。在这里,我们使用一种简单的一锅法聚合方法制备了一系列聚(3-己基噻吩)-聚(苯异氰酸酯)(P3HT-PPI)共聚物。有趣的是,我们发现 P3HT-PPI 薄膜具有螺旋纳米纤维结构。相应的器件具有优异的光电性能,例如光谱响应范围从可见光波段扩展到深紫外(DUV)波段,并且在 DUV 光刺激后载流子衰减时间延长了约 5 倍。我们获得了 1.44 fJ 的每个突触事件的能量消耗,这是迄今为止使用 DUV 光刺激实现的最低能量消耗。我们使用一系列器件实现了图像的加密和解密。最后,我们构建了光感受器神经通路,以实现对有害光显示的识别的早期预警。这项研究为开发新型光电突触器件提供了一种有效的策略。

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