记忆电阻器
热传导
电导
神经形态工程学
材料科学
工作(物理)
电子传输链
噪音(视频)
量子
量子点接触
凝聚态物理
纳米技术
光电子学
物理
化学
计算机科学
量子阱
量子力学
激光器
复合材料
人工智能
机器学习
图像(数学)
生物化学
人工神经网络
作者
Xiaojuan Lian,Miao Wang,Mingyi Rao,Peng Yan,J. Joshua Yang,Feng Miao
摘要
While tantalum oxide (TaOx) memristors have shown superior multilevel switching performances and emerged as one of the leading candidates for analog memory and neuromorphic applications, its microscopic switching mechanisms at different resistance regimes remain obscure. In this work, electron transport mechanisms of TaOx memristors have been revealed by analyzing transport characteristics in three different resistance switching regimes. A quantum point contact model coupled with a first principles calculation has been validated to account for different conduction behaviors, which further sheds light on the evolution of the conducting filaments during switching processes. The high endurance observed in the low resistance switching regime is rationalized based on the observation of an enhanced instability and noise in the presence of a single conduction channel, i.e., quantum conductance G0=2e2/h.
科研通智能强力驱动
Strongly Powered by AbleSci AI