神经形态工程学
记忆电阻器
电阻随机存取存储器
堆积
薄脆饼
实现(概率)
MNIST数据库
材料科学
计算机科学
电阻式触摸屏
非易失性存储器
光电子学
记忆晶体管
纳米技术
电子工程
电压
电气工程
深度学习
人工智能
人工神经网络
物理
工程类
统计
数学
核磁共振
计算机视觉
作者
Baoshan Tang,Hasita Veluri,Yida Li,Zhi Gen Yu,Moaz Waqar,Jin Feng Leong,Maheswari Sivan,Evgeny Zamburg,Yong‐Wei Zhang,John Wang,A. Thean
标识
DOI:10.1038/s41467-022-30519-w
摘要
Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their development in next-generation information storage and neuromorphic computing. Here, wafer-scale integration of solution-processed two-dimensional MoS2 memristor arrays are reported. The MoS2 memristors achieve excellent endurance, long memory retention, low device variations, and high analog on/off ratio with linear conductance update characteristics. The two-dimensional nanosheets appear to enable a unique way to modulate switching characteristics through the inter-flake sulfur vacancies diffusion, which can be controlled by the flake size distribution. Furthermore, the MNIST handwritten digits recognition shows that the MoS2 memristors can operate with a high accuracy of >98.02%, which demonstrates its feasibility for future analog memory applications. Finally, a monolithic three-dimensional memory cube has been demonstrated by stacking the two-dimensional MoS2 layers, paving the way for the implementation of two memristor into high-density neuromorphic computing system.
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