Self-Assembly of Janus Graphene Oxide via Chemical Breakdown for Scalable High-Performance Memristors

被引:8
|
作者
Hui, Fei [1 ]
Zhang, Conghui [1 ]
Yu, Huanhuan [2 ]
Han, Tingting [3 ]
Weber, Jonas [4 ]
Shen, Yaqing [4 ]
Xiao, Yiping [3 ]
Li, Xiaohong [2 ]
Zhang, Zhijun [2 ]
Liu, Peisong [2 ,3 ]
机构
[1] Zhengzhou Univ, Sch Mat Sci & Engn, Key Lab Mat Proc, Henan Key Lab Adv Nylon Mat & Applicat, Zhengzhou 450001, Peoples R China
[2] Henan Univ, Engn Res Ctr Nanomat ERCN, Natl & Local Joint Engn Res Ctr Appl Technol Hybri, Kaifeng 475004, Peoples R China
[3] Soochow Univ, Inst Funct Nano & Soft Mat FUNSOM, Collaborat Innovat Ctr Suzhou Nano Sci &Technol, 199 Ren Ai Rd, Suzhou 215123, Peoples R China
[4] King Abdullah Univ Sci & Technol KAUST, Phys Sci & Engn Div, Thuwal 239556900, Saudi Arabia
基金
中国国家自然科学基金;
关键词
Janus 2D materials; memristors; scalable fabrication; solid-state microelectronics; threshold resistive switching;
D O I
10.1002/adfm.202302073
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Janus 2D materials have drawn substantial attention recently owing to its extraordinary interface properties and promising applications in optoelectronic devices. However, the scalable fabrication of high-quality Janus 2D materials is still one of the main obstacles to hinder its implementation in the industry. Herein, a new method (called "chemical breakdown") is developed to obtain large-area uniform Janus graphene oxide (J-GO) films with high-quality. Moreover, the first application of J-GO in the field of memristive devices is presented for neuromorphic computing. In particular, crossbar arrays of Ag/J-GO/Au memristive devices that exhibit threshold resistive switching (RS) with enhanced performance are fabricated, e.g., low leakage current (approximate to 10(-12) A), low operation voltage (approximate to 0.3 V), high endurance (>12,000 cycles), and electro-synaptic plasticity. This work provides a novel strategy to obtain large-area, continuous and uniform Janus 2D films, and proposes a new application for Janus 2D materials in a hot topic (i.e., neuromorphic computing) within the field of solid-state microelectronics.
引用
收藏
页数:7
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