神经形态工程学
记忆电阻器
材料科学
无定形固体
离子键合
电阻随机存取存储器
电阻式触摸屏
纳米技术
非易失性存储器
光电子学
电极
计算机科学
电子工程
人工神经网络
离子
物理
化学
人工智能
量子力学
工程类
计算机视觉
有机化学
作者
Rafael Schmitt,Markus Kubicek,Eva Sediva,Morgan Trassin,Mads C. Weber,Antonella Rossi,Herbert Hutter,J. Kreisel,Manfred Fiebig,Jennifer L. M. Rupp
标识
DOI:10.1002/adfm.201804782
摘要
Abstract Memristive devices based on mixed ionic–electronic resistive switches have an enormous potential to replace today's transistor‐based memories and Von Neumann computing architectures thanks to their ability for nonvolatile information storage and neuromorphic computing. It still remains unclear however how ionic carriers are propagated in amorphous oxide films at high local electric fields. By using memristive model devices based on LaFeO 3 with either amorphous or epitaxial nanostructures, we engineer the structural local bonding units and increase the oxygen‐ionic diffusion coefficient by one order of magnitude for the amorphous oxide, affecting the resistive switching operation. We show that only devices based on amorphous LaFeO 3 films reveal memristive behavior due to their increased oxygen vacancy concentration. We achieved stable resistive switching with switching times down to microseconds and confirm that it is predominantly the oxygen‐ionic diffusion character and not electronic defect state changes that modulate the resistive switching device response. Ultimately, these results show that the local arrangement of structural bonding units in amorphous perovskite films at room temperature can be used to largely tune the oxygen vacancy (defect) kinetics for resistive switches (memristors) that are both theoretically challenging to predict and promising for future memory and neuromorphic computing applications.
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