Improved analog switching characteristics of Ta2O5-based memristor using indium tin oxide buffer layer for neuromorphic computing

被引:14
作者
Lee, Tae Sung [1 ]
Choi, Changhwan [1 ]
机构
[1] Hanyang Univ, Div Mat Sci & Engn, Seoul 04763, South Korea
基金
新加坡国家研究基金会;
关键词
memristor; Ta2O5; ITO; neuromorphic computing; synapse; DEVICE; MEMORY; TAOX;
D O I
10.1088/1361-6528/ac5928
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
A memristor is defined as a non-volatile memory switching two-terminal resistor, and a memristor with digital switching characteristics is widely studied as a next-generation non-volatile memory because of its simple structure, high integration density, and low power consumption. Recently, analog memristors with gradual resistance switching (RS) characteristics have garnered great attention because of their potential to implement artificial synapses that can emulate the brain functions. Transition metal oxides are thought to be strong candidate materials for the RS. In particular, tantalum oxide (TaO (x) )-based memristive devices provide stable and durable switching characteristics. TaO (x) -based memristors utilize analog switching characteristics and have excellent durability and reliability, so they can be applied as artificial synaptic device. In this study, the characteristics of analog RS using Ta2O5-based memristive devices were investigated. The current level of the Pt/Ta2O5/Pt memristors was improved by adjusting the thickness of Ta2O5. In particular, when an indium-tin-oxide (ITO) buffer layer was added to Ta2O5 forming a Pt/ITO/Ta2O5/Pt heterostructured double-layer device, it showed more symmetrical potentiation and depression characteristics under both polarities than a single-layer device without ITO layer. The symmetrical and linear potentiation and depression characteristics are essential for the development of efficient memristor-based neuromorphic systems. Insertion of the ITO buffer layer improves linearity, symmetry, and stability of the analog RS properties of Ta2O5-based memristors to artificial synapses.
引用
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页数:11
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