中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide

文献类型:期刊论文

作者Wang, Jingyun1,2; Teng, Changjiu1,2; Zhang, Zhiyuan1,2; Chen, Wenjun1,2; Tan, Junyang1,2; Pan, Yikun1,2; Zhang, Rongjie1,2; Zhou, Heyuan1,2; Ding, Baofu1,2; Cheng, Hui-Ming1,2,3
刊名ACS NANO
出版日期2021-09-28
卷号15期号:9页码:15123-15131
ISSN号1936-0851
关键词2D materials titanium oxide Langmuir-Blodgett assembly artificial neuron leaky integrate-and-fire spiking neural network
DOI10.1021/acsnano.1c05565
通讯作者Liu, Bilu(bilu.liu@sz.tsinghua.edu.cn)
英文摘要A spiking neural network consists of artificial synapses and neurons and may realize human-level intelligence. Unlike the widely reported artificial synapses, the fabrication of large-scale artificial neurons with good performance is still challenging due to the lack of a suitable material system and integration method. Here, we report an ultrathin (less than10 nm) and inch-size two-dimensional (2D) oxide-based artificial neuron system produced by a controllable assembly of solution-processed 2D monolayer TiOx nanosheets. Artificial neuron devices based on such 2D TiOx films show a high on/off ratio of 109 and a volatile resistance switching phenomenon. The devices can not only emulate the leaky integrate-and-fire activity but also self-recover without additional circuits for sensing and reset. Moreover, the artificial neuron arrays are fabricated and exhibited good uniformity, indicating their large-area integration potential. Our results offer a strategy for fabricating large-scale and ultrathin 2D material-based artificial neurons and 2D spiking neural networks.
资助项目National Natural Science Foundation of China[51920105002] ; National Natural Science Foundation of China[51991343] ; National Natural Science Foundation of China[51991340] ; Guangdong Innovative and Entrepreneurial Research Team Program[2017ZT07C341] ; Bureau of Industry and Information Technology of Shenzhen[201901171523] ; Shenzhen Basic Research Project[JCYJ20200109144620815] ; Shenzhen Basic Research Project[JCYJ20200109144616617]
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Materials Science
语种英语
出版者AMER CHEMICAL SOC
WOS记录号WOS:000703553600107
资助机构National Natural Science Foundation of China ; Guangdong Innovative and Entrepreneurial Research Team Program ; Bureau of Industry and Information Technology of Shenzhen ; Shenzhen Basic Research Project
源URL[http://ir.imr.ac.cn/handle/321006/166752]  
专题金属研究所_中国科学院金属研究所
通讯作者Liu, Bilu
作者单位1.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Inst Mat Res, Shenzhen 518055, Peoples R China
2.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Tsinghua Berkeley Shenzhen Inst, Shenzhen Geim Graphene Ctr, Shenzhen 518055, Peoples R China
3.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang 110016, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jingyun,Teng, Changjiu,Zhang, Zhiyuan,et al. A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide[J]. ACS NANO,2021,15(9):15123-15131.
APA Wang, Jingyun.,Teng, Changjiu.,Zhang, Zhiyuan.,Chen, Wenjun.,Tan, Junyang.,...&Liu, Bilu.(2021).A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide.ACS NANO,15(9),15123-15131.
MLA Wang, Jingyun,et al."A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide".ACS NANO 15.9(2021):15123-15131.

入库方式: OAI收割

来源:金属研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。