具有双向光响应的超弱光调制异质结构,用于静态和动态图像感知

IF 18.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2024-11-30 DOI:10.1038/s41467-024-54845-3
Xun Han, Juan Tao, Yegang Liang, Feng Guo, Zhangsheng Xu, Wenqiang Wu, Jiahui Tong, Mengxiao Chen, Caofeng Pan, Jianhua Hao
{"title":"具有双向光响应的超弱光调制异质结构,用于静态和动态图像感知","authors":"Xun Han, Juan Tao, Yegang Liang, Feng Guo, Zhangsheng Xu, Wenqiang Wu, Jiahui Tong, Mengxiao Chen, Caofeng Pan, Jianhua Hao","doi":"10.1038/s41467-024-54845-3","DOIUrl":null,"url":null,"abstract":"<p>The human visual system’s adaptability to varying brightness levels has inspired the development of optoelectronic neuromorphic devices. However, achieving bidirectional photoresponse, essential for mimicking these functions, often requires high operation voltages or high light intensities. Here, we propose a bidirectional ZnO/CsPbBr<sub>3</sub> heterostructure based neuromorphic image sensor array (10 × 10 pixels) capable of ultraweak light stimulation. The device demonstrates positive and negative photoconductivity through the ionization and deionization of oxygen vacancies in the ZnO channel, extendable to other ZnO/perovskites and IGZO/perovskites heterostructures. Operating at a reduced bias voltage of 2.0 V, the array achieves synaptic weight updates under green (525 nm) and UV (365 nm) light with light intensities ranging from as low as 45 nW/cm² to 15.69 mW/cm², mimicking basic synaptic functions and visual adaptation. It performs multiple image pre-processing tasks, including background denoising and encoding spatiotemporal motion, achieving 92% accuracy in pattern recognition and 100% accuracy in motion clustering. This straightforward strategy highlights a potential for intelligent visual systems capable of real-time image processing under low voltage and dark conditions.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"13 1","pages":""},"PeriodicalIF":18.1000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultraweak light-modulated heterostructure with bidirectional photoresponse for static and dynamic image perception\",\"authors\":\"Xun Han, Juan Tao, Yegang Liang, Feng Guo, Zhangsheng Xu, Wenqiang Wu, Jiahui Tong, Mengxiao Chen, Caofeng Pan, Jianhua Hao\",\"doi\":\"10.1038/s41467-024-54845-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The human visual system’s adaptability to varying brightness levels has inspired the development of optoelectronic neuromorphic devices. However, achieving bidirectional photoresponse, essential for mimicking these functions, often requires high operation voltages or high light intensities. Here, we propose a bidirectional ZnO/CsPbBr<sub>3</sub> heterostructure based neuromorphic image sensor array (10 × 10 pixels) capable of ultraweak light stimulation. The device demonstrates positive and negative photoconductivity through the ionization and deionization of oxygen vacancies in the ZnO channel, extendable to other ZnO/perovskites and IGZO/perovskites heterostructures. Operating at a reduced bias voltage of 2.0 V, the array achieves synaptic weight updates under green (525 nm) and UV (365 nm) light with light intensities ranging from as low as 45 nW/cm² to 15.69 mW/cm², mimicking basic synaptic functions and visual adaptation. It performs multiple image pre-processing tasks, including background denoising and encoding spatiotemporal motion, achieving 92% accuracy in pattern recognition and 100% accuracy in motion clustering. This straightforward strategy highlights a potential for intelligent visual systems capable of real-time image processing under low voltage and dark conditions.</p>\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":18.1000,\"publicationDate\":\"2024-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Communications\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-024-54845-3\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-024-54845-3","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

人类视觉系统对不同亮度水平的适应性激发了光电神经形态器件的发展。然而,实现双向光响应是模拟这些功能的必要条件,通常需要高工作电压或高光强度。在这里,我们提出了一个双向的基于ZnO/CsPbBr3异质结构的神经形态图像传感器阵列(10 × 10像素),能够进行超弱光刺激。该器件通过ZnO通道中氧空位的电离和去电离表现出正、负的光导电性,并可扩展到其他ZnO/钙钛矿和IGZO/钙钛矿异质结构中。该阵列工作在2.0 V的低偏压下,在绿光(525 nm)和紫外光(365 nm)下实现突触权重更新,光强范围从45 nW/cm²到15.69 mW/cm²,模拟基本突触功能和视觉适应。它完成了背景去噪和时空运动编码等多项图像预处理任务,模式识别准确率达到92%,运动聚类准确率达到100%。这种直接的策略突出了智能视觉系统在低电压和黑暗条件下能够实时处理图像的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Ultraweak light-modulated heterostructure with bidirectional photoresponse for static and dynamic image perception

The human visual system’s adaptability to varying brightness levels has inspired the development of optoelectronic neuromorphic devices. However, achieving bidirectional photoresponse, essential for mimicking these functions, often requires high operation voltages or high light intensities. Here, we propose a bidirectional ZnO/CsPbBr3 heterostructure based neuromorphic image sensor array (10 × 10 pixels) capable of ultraweak light stimulation. The device demonstrates positive and negative photoconductivity through the ionization and deionization of oxygen vacancies in the ZnO channel, extendable to other ZnO/perovskites and IGZO/perovskites heterostructures. Operating at a reduced bias voltage of 2.0 V, the array achieves synaptic weight updates under green (525 nm) and UV (365 nm) light with light intensities ranging from as low as 45 nW/cm² to 15.69 mW/cm², mimicking basic synaptic functions and visual adaptation. It performs multiple image pre-processing tasks, including background denoising and encoding spatiotemporal motion, achieving 92% accuracy in pattern recognition and 100% accuracy in motion clustering. This straightforward strategy highlights a potential for intelligent visual systems capable of real-time image processing under low voltage and dark conditions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
期刊最新文献
Surface-confined protection stabilizes pre-annealing crystallization for ambient blade-coated perovskites Distinct molecular subgroups in pediatric and young-onset meningiomas require age-adapted risk stratification Superconducting coherence boosted by outer-layer metallic screening in multilayered cuprates Dorsal horn DCC amplification loop induced by endplate osteoclasts generates chronic nociplastic low back pain in male mice Synergistic interfacial-mechanical binder design for high-areal-capacity and long-lifespan Si-based negative electrodes in practical pouch cells
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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