神经形态工程学
记忆电阻器
计算机科学
突触
氧气
材料科学
计算机数据存储
光电子学
纳米技术
人工神经网络
电气工程
化学
人工智能
计算机硬件
神经科学
工程类
有机化学
生物
作者
Kunming Liu,Fang Wang,Xin Shan,Ke Shan,Zexia Ma,Kai Hu,Hongling Guo,Zhitang Song,Kailiang Zhang
标识
DOI:10.35848/1882-0786/acdf3d
摘要
Abstract In order to meet the exponentially increased demand for data processing, researchers are exploring memristors to emulate synapse or in-memory computing. To further enhance its performance, the impact of oxygen content on storage and synaptic performances is investigated based on Ag/Ta x O y /ITO memristors. The conductive filament-dominated mechanism with two kinds of ions is validated by multiple methods. By optimizing the oxygen content, the synaptic weight modulation ability increased almost sevenfold. Additionally, Boolean logic operations are implemented with >10 5 switching cycles and in situ stored for more than 10 5 s. Our work lays the foundation for optimizing memory storage and neuromorphic performances in future in-memory computing.
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