环保、可降解的有机神经形态视觉传感器

IF 17.3 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Matter Pub Date : 2024-05-01 DOI:10.1016/j.matt.2024.02.003
Mingyi Ding , Ting Jiang , Bin Wang , Yuesheng Li , Junyao Zhang , Jia Huang , Deyang Ji , Wenping Hu
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引用次数: 0

摘要

本研究以有机薄膜晶体管为构建单元,模仿生物的视觉系统,开发了一种高性能的有机神经形态视觉传感器,将传感、记忆和计算功能集成在一个器件中。完成功能应用后,该器件可降解到环境中,不会造成二次污染,为实现可降解性与高光电性能之间的平衡奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Environmentally friendly and degradable organic neuromorphic vision sensors

Environmentally friendly and degradable organic neuromorphic vision sensors

Transient electronic devices can help eliminate the growing environmental problem of “electronic pollution.” However, their applications are severely limited by poor optoelectronic performance. Here, a new degradable polymeric dielectric material is synthesized by a one-step method for organic neuromorphic vision sensors (ONeuVSs). A high mobility of 2.74 cm2 V−1 s−1 and current on/off ratio greater than 109 were obtained. Moreover, we achieved excellent optical figures of merit with a maximum photosensitivity of 8.7 × 108 and maximum detectivity of 9.42 × 1016 Jones, which are the best values among transient electronic devices. The ONeuVS array could perform static image recognition with an accuracy of 92.7% and high-pass filtering behavior. More interestingly, both high-performance optical synapses and switching functional devices could be realized by modulating the organic semiconductors with or without alkyl chains. This study provides insights for developing a low-cost and environmentally friendly approach for constructing degradable ONeuVSs with sensing, memory, and processing in one device.

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来源期刊
Matter
Matter MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
26.30
自引率
2.60%
发文量
367
期刊介绍: Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content. Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.
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