蛋白质丝
电导
材料科学
单层
石墨烯
电解质
电极
纳米技术
记忆电阻器
神经形态工程学
导电体
溶解
光电子学
化学物理
化学工程
化学
复合材料
凝聚态物理
电子工程
物理
物理化学
机器学习
人工神经网络
计算机科学
工程类
作者
Moonkyu Song,Sangheon Lee,S. S. Teja Nibhanupudi,Jatin Vikram Singh,Matthew Disiena,Christopher J. Luth,Yongchang Wu,Matthew J. Coupin,Jamie H. Warner,Sanjay K. Banerjee
出处
期刊:Nano Letters
[American Chemical Society]
日期:2023-03-30
卷期号:23 (7): 2952-2957
被引量:12
标识
DOI:10.1021/acs.nanolett.3c00327
摘要
Threshold switches based on conductive metal bridge devices are useful as selectors to block sneak leakage paths in memristor arrays used in neuromorphic computing and emerging nonvolatile memory. We demonstrate that control of Ag-cation concentration in Al2O3 electrolyte and Ag filament size and density play an important role in the high on/off ratio and self-compliance of metal-ion-based volatile threshold switching devices. To control Ag-cation diffusion, we inserted an engineered defective graphene monolayer between the Ag electrode and the Al2O3 electrolyte. The Ag-cation migration and the Ag filament size and density are limited by the pores in the defective graphene monolayer. This leads to quantized conductance in the Ag filaments and self-compliance resulting from the formation and dissolution of the Ag conductive filament.
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