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A Scalable Artificial Neuron Based on Ultrathin Two-Dimensional Titanium Oxide
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; Liu, Bilu1,2
Corresponding AuthorLiu, Bilu(bilu.liu@sz.tsinghua.edu.cn)
2021-09-28
Source PublicationACS NANO
ISSN1936-0851
Volume15Issue:9Pages:15123-15131
AbstractA 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.
Keyword2D materials titanium oxide Langmuir-Blodgett assembly artificial neuron leaky integrate-and-fire spiking neural network
Funding OrganizationNational Natural Science Foundation of China ; Guangdong Innovative and Entrepreneurial Research Team Program ; Bureau of Industry and Information Technology of Shenzhen ; Shenzhen Basic Research Project
DOI10.1021/acsnano.1c05565
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science
WOS SubjectChemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS IDWOS:000703553600107
PublisherAMER CHEMICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/166753
Collection中国科学院金属研究所
Corresponding AuthorLiu, Bilu
Affiliation1.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Tsinghua Berkeley Shenzhen Inst, Shenzhen Geim Graphene Ctr, Shenzhen 518055, Peoples R China
2.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Inst Mat Res, Shenzhen 518055, Peoples R China
3.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang 110016, Peoples R China
Recommended Citation
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.
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