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
纳米技术
人工神经网络
电子工程
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,Heng Guo,Song Zhang,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 are investigated based on Ag/TaxOy/ITO memristors. Conductive filament dominated mechanism with two kinds of ions is validated by multiple methods. By optimizing oxygen content, synaptic weight modulation ability increased almost 7 folds. Additionally, Boolean logic operations are implemented with >10000 switching cycles and in-situ stored more than 10000s. Our work lays the foundation of optimizing memory storage and neuromorphic performances on future in-memory computing.
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