材料科学
非易失性存储器
光电子学
闪存
石墨烯
计算机数据存储
神经形态工程学
异质结
氮化硼
堆积
纳米技术
计算机科学
计算机硬件
物理
核磁共振
机器学习
人工神经网络
作者
Enxiu Wu,Yuan Xie,Shijie Wang,Chen Wu,Daihua Zhang,Xiao Hu,Jing Liu
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2020-07-24
卷期号:31 (48): 485205-485205
被引量:12
标识
DOI:10.1088/1361-6528/aba92b
摘要
Heterostructures formed by stacking atomically thin two-dimensional materials are promising candidates for flash memory devices to achieve premium performances, due to the capability of effective carrier modulation and unique charge trapping behavior at the interfaces with atomic flatness. Here, we report a nonvolatile floating-gate flash memory based on MoTe2/h-BN/graphene van der Waals heterostructure, which possesses increased data storage capacity per cell and versatile tunability. The decent memory behavior of the device is enabled by the carriers stored in the floating gate of graphene layer, which tunnel through the dielectric layer of h-BN from the channel layer of MoTe2 under static-electrical field. Consequently, the developed memory device is capable to store 2 bits per cell by applying varied gate bias to implement multi-distinctive current levels. The device also exhibits remarkable erase/program current ratio of ∼105 with 1 µs switch speed and stable retention with estimated ∼30% charge loss after 10 yr. Furthermore, the memory device can operate in both p- and n-type modes through contact engineering, offering wide adaptability for emerging applications in electronic technologies, such as neuromorphic computing, data-adaptive energy efficient memory, and complex digital circuits.
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