Titanium oxide artificial synaptic device: Nanostructure modeling and synthesis, memristive cross-bar fabrication, and resistive switching investigation

被引:3
|
作者
Avilov, Vadim I. [1 ,2 ]
Tominov, Roman V. [1 ,2 ]
Vakulov, Zakhar E. [1 ,2 ]
Zhavoronkov, Lev G. [1 ,2 ]
Smirnov, Vladimir A. [1 ,2 ]
机构
[1] Southern Fed Univ, Res Lab Neuroelect & Memrist Nanomat, NEUROMENA Lab, Taganrog 347922, Russia
[2] Southern Fed Univ, Inst Nanotechnol Elect & Elect Equipment Engn, Taganrog 347922, Russia
基金
俄罗斯科学基金会;
关键词
artificial intelligence; neuromorphic systems; memristive cross bar; resistive switching; scanning probe microscopy; titanium oxide;
D O I
10.1007/s12274-023-5639-5
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The paper shows the results of the mathematical model development and the numerical simulation of the oxygen vacancies, and the distribution of TiO, Ti2O3, and TiO2 oxides in the titanium oxide nanostructure obtained by local anodic oxidation (anodization). The effect of the anodization voltage pulse duration and amplitude on the titanium oxide composition distribution and the conduction channel formation was shown. Synaptic device prototypes based on electrochemical titanium oxide are fabricated and investigated. It was shown that forming free resistive switching between the low resistances state (LRS) 1.43 +/- 0.54 kO and the high resistance state (HRS) 28.75 +/- 9.75 kO were observed during 100,000 switching cycles and LRS 1.49 +/- 0.23 kO was maintained for 10,000 s. Multilevel resistive switching of the synaptic device prototype was investigated. It was shown that increasing U-set from 0.5 to 1.5 V leads to different LRS from 3.96 +/- 0.19 to 0.71 +/- 0.10 kO. The results obtained can be used in the development of technological foundations for the formation of high-performance multilevel artificial synapses for elements of neuroelectronics and hardware neural networks.
引用
收藏
页码:10222 / 10233
页数:12
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