Environmentally friendly and degradable organic neuromorphic vision sensors

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
{"title":"Environmentally friendly and degradable organic neuromorphic vision sensors","authors":"Mingyi Ding ,&nbsp;Ting Jiang ,&nbsp;Bin Wang ,&nbsp;Yuesheng Li ,&nbsp;Junyao Zhang ,&nbsp;Jia Huang ,&nbsp;Deyang Ji ,&nbsp;Wenping Hu","doi":"10.1016/j.matt.2024.02.003","DOIUrl":null,"url":null,"abstract":"<div><p>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 cm<sup>2</sup> V<sup>−1</sup> s<sup>−1</sup> and current on/off ratio greater than 10<sup>9</sup> were obtained. Moreover, we achieved excellent optical figures of merit with a maximum photosensitivity of 8.7 × 10<sup>8</sup> and maximum detectivity of 9.42 × 10<sup>16</sup> 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.</p></div>","PeriodicalId":388,"journal":{"name":"Matter","volume":null,"pages":null},"PeriodicalIF":17.3000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matter","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590238524000663","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
环保、可降解的有机神经形态视觉传感器
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Post-synthesis tuning of dielectric constant via ferroelectric domain wall engineering Protein dynamics inform protein structure: An interdisciplinary investigation of protein crystallization propensity ChemOS 2.0: An orchestration architecture for chemical self-driving laboratories Integration of kinks and creases enables tunable folding in meta-ribbons Tuning water-cellulose interactions via copper-coordinated mercerization for hydro-actuated, shape-memory cellulosic hydroplastics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1