神经形态工程学
材料科学
记忆电阻器
聚酰亚胺
光电子学
长时程增强
纳米技术
人工神经网络
电子工程
计算机科学
图层(电子)
人工智能
生物化学
工程类
受体
化学
作者
Jiacheng Li,Chenyang Hao,Shuqin Guo,Yingchen Li,Jiuzhou Ren,Liwei Zhou,Jinshi Zhao
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2021-05-13
卷期号:32 (33): 335205-335205
被引量:5
标识
DOI:10.1088/1361-6528/ac00e0
摘要
Abstract It is very urgent to build memristive synapses and even wearable devices to simulate the basic functions of biological synapses. The linear conductance modulation is the basis of analog memristor for neuromorphic computing. By optimizing the interface engineering wherein Ta/TiO x /TaO x /Ru was fabricated, all the memristor devices with different TiO x thickness showed electroforming-free property. The short-term and long-term plasticity in both potentiation and depression behaviors can be mimicked when TiO x was fixed at 25 nm. The presented memristive synapses simulated the stable paired-pulse facilitation and spike-timing dependent plasticity performance. The potentiation and depression in linearity and symmetry improved with the TiO x thickness increasing, which provides the feasibility for the application of artificial neural network. In addition, the device deposited on polyimide (PI) still exhibits the synaptic performance until the bending radii reaches 6 mm. By carefully tuning the interface engineering, this study can provide general revelation for continuous improvement of the memristive performance in neuromorphic applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI