记忆电阻器
神经形态工程学
锡
材料科学
X射线光电子能谱
光电子学
无定形固体
电阻随机存取存储器
薄膜
CMOS芯片
波段图
计算机科学
纳米技术
电子工程
人工神经网络
电气工程
电压
物理
化学
带隙
核磁共振
有机化学
机器学习
工程类
冶金
作者
Mehr Khalid Rahmani,Muhammad Ismail,Chandreswar Mahata,Sungjun Kim
标识
DOI:10.1016/j.rinp.2020.103325
摘要
Memristor device opens a new pathway for artificial synapses in the neuromorphic system. In this work, we demonstrate the enhanced memristive and synaptic charactersitcs in SnO2-based memristor device with a thin amorphous zinc tin oxide (α-ZTO) film and TiON interlayer that is confirmed by X-ray photoelectron spectroscopy (XPS) analysis. A more linear and symmetric long-term potentiation (LTP) and long-term depression (LTD) with lower power consumption are achieved through resistance change induced by repetitive pulse inputs in the double n-type SnO2/ZTO semiconductor device. Moreover, the transition from short-term memory (STM) to long-term memory (LTM) under repetitive identical pulse inputs is demonstrated. The oxygen vacancy-based switching mechanism model and energy band diagram is proposed for W/SnO2/ZTO/TiN memristor device. Experimental results show that W/SnO2/ZTO/TiN memristor as a artificial synapses could be of great benefit for hardware neuromorphic computing.
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