Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current

doi:10.1016/j.mattod.2023.04.013

IMR OpenIR

	Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current
	Sun, Yujie 1,2; Zhang, Rongjie 1,2; Teng, Changjiu 1,2; Tan, Junyang 1,2; Zhang, Zehao 1,2; Li, Shengnan 1,2; Wang, Jingwei 1,2; Zhao, Shilong 1,2; Chen, Wenjun 3; Liu, Bilu 1,2; Cheng, Hui-Ming 4,5
通讯作者	Liu, Bilu(bilu.liu@sz.tsinghua.edu.cn) ; Cheng, Hui-Ming(hmcheng@sz.tsinghua.edu.cn)
	2023-06-01
发表期刊	MATERIALS TODAY
ISSN	1369-7021
卷号	66 页码:9-16
摘要	Memristor-based neuromorphic computing is promising for artificial intelligence. However, most of the reported memristors have limited linear computing states and consume large operation energy which hinder their applications. Herein, we report a memristor based on ionic two-dimensional CuInP2S6 (2D CIPS), in which up to 1350 linear conductance states are achieved by controlling the migration of internal Cu ions in CIPS. In addition, the device shows a low operation current of -100 pA. Cu ions are proven to move along the electric field by in-situ scanning electron microscopy and energy dispersive spectroscopy measurements. Furthermore, complex signal transport among multiple neurons in the brain is imitated by 2D CIPS-based memristor arrays. Our results offer a new platform to fabricate high-performance memristors based on ion transport in 2D materials for neuromorphic computing.
关键词	Memristor Multi-state computing Ion transport Ionic 2D materials Linear states Low operation current
资助者	National Natural Science Foundation of China ; National Science Fund for Distinguished Young Scholars ; Guangdong Innovative and Entrepreneurial Research Team Program ; Natural Science Foundation of Guangdong Province ; Shenzhen Basic Research Program ; Tsinghua Shenzhen International Graduate School (Tsinghua SIGS)
DOI	10.1016/j.mattod.2023.04.013
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[51991343] ; National Natural Science Foundation of China[51991340] ; National Natural Science Foundation of China[52102179] ; National Natural Science Foundation of China[52188101] ; National Science Fund for Distinguished Young Scholars[52125309] ; Guangdong Innovative and Entrepreneurial Research Team Program[2017ZT07C341] ; Natural Science Foundation of Guangdong Province[2023A1515011752] ; Shenzhen Basic Research Program[JCYJ20200109144616617] ; Shenzhen Basic Research Program[JCYJ20220818101014029] ; Tsinghua Shenzhen International Graduate School (Tsinghua SIGS)
WOS研究方向	Materials Science
WOS类目	Materials Science, Multidisciplinary
WOS记录号	WOS:001034130000001
出版者	ELSEVIER SCI LTD
引用统计	被引频次：25[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/178619
专题	中国科学院金属研究所
通讯作者	Liu, Bilu; Cheng, Hui-Ming
作者单位	1.Tsinghua Univ, Shenzhen Geim Graphene Ctr, Tsinghua Berkeley Shenzhen Inst, Shenzhen 518055, Peoples R China 2.Tsinghua Univ, Inst Mat Res, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China 3.Foshan Univ, Sch Elect Informat Engn, Foshan 528000, Peoples R China 4.Chinese Acad Sci, Inst Technol Carbon Neutral, Shenzhen Inst Adv Technol, Fac Mat Sci & Engn, Shenzhen 518055, Peoples R China 5.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	Sun, Yujie,Zhang, Rongjie,Teng, Changjiu,et al. Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current[J]. MATERIALS TODAY,2023,66:9-16.
APA	Sun, Yujie.,Zhang, Rongjie.,Teng, Changjiu.,Tan, Junyang.,Zhang, Zehao.,...&Cheng, Hui-Ming.(2023).Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current.MATERIALS TODAY,66,9-16.
MLA	Sun, Yujie,et al."Internal ion transport in ionic 2D CuInP2S6 enabling multi-state neuromorphic computing with low operation current".MATERIALS TODAY 66(2023):9-16.