自旋电子学
记忆电阻器
磁电阻
材料科学
神经形态工程学
可扩展性
纳米技术
磁存储器
隧道磁电阻
电子工程
计算机科学
磁场
铁磁性
工程类
凝聚态物理
物理
图层(电子)
量子力学
数据库
机器学习
人工神经网络
操作系统
作者
Alejandro Schulman,Elvira Paz,Tim Böhnert,Alex Jenkins,Ricardo Ferreira
标识
DOI:10.1002/adfm.202305238
摘要
Abstract Magnetic tunnel junctions (MTJs) and memristors are two key emerging nanotechnologies that attracted significant interest for potential applications at the forefront of the digital revolution, including sensing, data storage, and non‐conventional computation. The co‐integration of these phenomena into a single multifunctional device is an important step toward harnessing the re‐programmability of memristive systems with the high yield and varied functionality of MTJs. This study demonstrates the co‐existence of magnetoresistance and memristive properties on MgO‐based MTJs. These devices show a magnetoresistance with a linear response as a function of a magnetic field and no hysteresis, which are the requirements for good magnetic field sensors, as well as demonstrating a non‐volatile and quasi‐analogue memristive behavior as a function of an applied electrical field down to nanosecond pulses. Furthermore, by doping the oxide barrier, the memristive power consumption is lowered by 20% giving the multi‐functionality of the devices a promising scalability potential. This study also shows that, memristive switching can be reversibly used to completely suppress and recover the spintronic functionalities. These results can pave the way for a seamless co‐integration of memristors and spintronic devices in complex reprogrammable circuits addressing applications such as reprogrammable multifunctional field sensor arrays and neuromorphic computing.
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