IMR OpenIR
A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems
Zhu, Qian-Bing1,2; Li, Bo1,2; Yang, Dan-Dan3; Liu, Chi1; Feng, Shun1,4; Chen, Mao-Lin1; Sun, Yun1; Tian, Ya-Nan5; Su, Xin6; Wang, Xiao-Mu6; Qiu, Song7; Li, Qing-Wen7; Li, Xiao-Ming3; Zeng, Hai-Bo3; Cheng, Hui-Ming1,2,8; Sun, Dong-Ming1,2
Corresponding AuthorQiu, Song(sqiu2010@sinano.ac.cn) ; Li, Xiao-Ming(lixiaoming@njust.edu.cn) ; Cheng, Hui-Ming(cheng@imr.ac.cn) ; Sun, Dong-Ming(dmsun@imr.ac.cn)
2021-03-19
Source PublicationNATURE COMMUNICATIONS
ISSN2041-1723
Volume12Issue:1Pages:7
AbstractThe challenges of developing neuromorphic vision systems inspired by the human eye come not only from how to recreate the flexibility, sophistication, and adaptability of animal systems, but also how to do so with computational efficiency and elegance. Similar to biological systems, these neuromorphic circuits integrate functions of image sensing, memory and processing into the device, and process continuous analog brightness signal in real-time. High-integration, flexibility and ultra-sensitivity are essential for practical artificial vision systems that attempt to emulate biological processing. Here, we present a flexible optoelectronic sensor array of 1024 pixels using a combination of carbon nanotubes and perovskite quantum dots as active materials for an efficient neuromorphic vision system. The device has an extraordinary sensitivity to light with a responsivity of 5.1x10(7)A/W and a specific detectivity of 2x10(16) Jones, and demonstrates neuromorphic reinforcement learning by training the sensor array with a weak light pulse of 1 mu W/cm(2). To emulate nature biological processing, highly-integrated ultra-sensitive artificial neuromorphic system is highly desirable. Here, the authors report flexible sensor array of 1024 pixels using combination of carbon nanotubes and perovskite QDs as active matetials, achieving highly responsive device for reinforcement learning.
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences ; Liaoning Revitalization Talents Program ; Thousand Talent Program for Young Outstanding Scientists, Key-Area Research and Development Program of Guangdong Province ; Shandong Natural Science Foundation of China ; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences
DOI10.1038/s41467-021-22047-w
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2020YFA0714702] ; National Key Research and Development Program of China[2016YFB041104] ; National Natural Science Foundation of China[61574143] ; National Natural Science Foundation of China[51532008] ; National Natural Science Foundation of China[61704175] ; National Natural Science Foundation of China[51502304] ; National Natural Science Foundation of China[22075312] ; National Natural Science Foundation of China[21773292] ; National Natural Science Foundation of China[61874054] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB30000000] ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences[ZDBS-LY-JSC027] ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences[QYZDB-SSW-SLH031] ; Liaoning Revitalization Talents Program[XLYC1807109] ; Thousand Talent Program for Young Outstanding Scientists, Key-Area Research and Development Program of Guangdong Province[2019B010934001] ; Shandong Natural Science Foundation of China[ZR2019ZD49] ; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences[L2019F28] ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences[SKLA-2019-03]
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000631934900001
PublisherNATURE RESEARCH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/161497
Collection中国科学院金属研究所
Corresponding AuthorQiu, Song; Li, Xiao-Ming; Cheng, Hui-Ming; Sun, Dong-Ming
Affiliation1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Hefei, Peoples R China
3.Nanjing Univ Sci & Technol, Coll Mat Sci & Engn, Nanjing, Peoples R China
4.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai, Peoples R China
5.Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
6.Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Peoples R China
7.Chinese Acad Sci, Suzhou Inst Nanotech & Nanobion, Suzhou, Peoples R China
8.Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Qian-Bing,Li, Bo,Yang, Dan-Dan,et al. A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems[J]. NATURE COMMUNICATIONS,2021,12(1):7.
APA Zhu, Qian-Bing.,Li, Bo.,Yang, Dan-Dan.,Liu, Chi.,Feng, Shun.,...&Sun, Dong-Ming.(2021).A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems.NATURE COMMUNICATIONS,12(1),7.
MLA Zhu, Qian-Bing,et al."A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems".NATURE COMMUNICATIONS 12.1(2021):7.
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