神经形态工程学
电阻式触摸屏
电子束感应电流
蛋白质丝
电阻随机存取存储器
材料科学
阴极射线
光电子学
电子
纳米技术
物理
电极
计算机科学
人工神经网络
硅
量子力学
机器学习
计算机视觉
复合材料
作者
Brian D. Hoskins,Gina C. Adam,Evgheni Strelcov,Nikolai B. Zhitenev,Andrei Kolmakov,Dmitri B. Strukov,Jabez J. McClelland
标识
DOI:10.1038/s41467-017-02116-9
摘要
Metal oxide resistive switches are increasingly important as possible artificial synapses in next generation neuromorphic networks. Nevertheless, there is still no codified set of tools for studying properties of the devices. To this end, we demonstrate electron beam induced current measurements as a powerful method to monitor the development of local resistive switching in TiO2 based devices. By comparing beam-energy dependent electron beam induced currents with Monte Carlo simulations of the energy absorption in different device layers, it is possible to deconstruct the origins of filament image formation and relate this to both morphological changes and the state of the switch. By clarifying the contrast mechanisms in electron beam induced current microscopy it is possible to gain new insights into the scaling of the resistive switching phenomenon and observe the formation of a current leakage region around the switching filament. Additionally, analysis of symmetric device structures reveals propagating polarization domains.
科研通智能强力驱动
Strongly Powered by AbleSci AI