Demonstration of Nonvolatile Storage and Synaptic Functions in All-Two-Dimensional Floating-Gate Transistors Based on MoS2 Channels

被引:10
|
作者
Li, Wei [1 ]
Li, Jiaying [1 ]
Chen, Yuhua [1 ]
Chen, Zhanzi [1 ]
Li, Weilin [1 ]
Wang, Zhuowen [1 ]
Mu, Tianhui [1 ]
Chen, Zhao [1 ]
Yang, Ruijing [1 ]
Meng, Ziqian [1 ]
Wang, Yucheng [1 ]
Li, Feng [1 ,2 ]
Wang, Shaoxi [1 ]
机构
[1] Northwestern Polytech Univ, Sch Microelect, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Yangtze River Delta Res Inst, Taicang 215400, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
2D materials; floating-gate; nonvolatile storage; synaptic device; neuromorphic; handwrittennumeral recognition; MEMORY; DEVICE;
D O I
10.1021/acsaelm.3c00595
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the advent of post-Moore era, the development ofmemory devicesbased on bulk materials gradually entered the bottleneck period. Two-dimensional(2D) materials have received much attention due to their excellentoptoelectronic and mechanical properties. Also, floating-gate devicesbased on 2D van der Waals heterostructures have drawn widespread attentionin virtue of their great potential for nonvolatile memory. In thispaper, a floating-gate device based on a MoS2/BN/grapheneheterostructure was fabricated and its electrical storage performanceand synaptic function were investigated. Finally, the device obtainsa switching ratio of close to & SIM;10(5), a large storagewindow of 107.8 V under a sweeping range of & PLUSMN;60 V, good enduranceafter 1000 cycles, and charge retention capability above 1500 s. Inaddition, the device can be used as an artificial synapse to simulatea basic synaptic function and achieve a more linear and symmetricallong-term potentiation and long-term depression profiles. At the sametime, the constructed convolutional neural network using this devicereaches a high recognition accuracy of 95.5% for handwritten numeralsafter 1000 times training. These results demonstrate the great potentialof 2D material floating-gate devices for nonvolatile memory and neuromorphiccomputing, which pave the way for the development of next-generationmemory devices.
引用
收藏
页码:4354 / 4362
页数:9
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