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Pt/ZnO/TiN 突触器件中的双极与互补电阻开关特性及神经形态系统模拟

Bipolar and Complementary Resistive Switching Characteristics and Neuromorphic System Simulation in a Pt/ZnO/TiN Synaptic Device.

作者信息

Khan Sobia Ali, Lee Geun Ho, Mahata Chandreswar, Ismail Muhammad, Kim Hyungjin, Kim Sungjun

机构信息

School of Electronics Engineering, Chungbuk National University, Cheongju 28644, Korea.

Department of Electronic Engineering, Inha University, Incheon 22212, Korea.

出版信息

Nanomaterials (Basel). 2021 Jan 27;11(2):315. doi: 10.3390/nano11020315.

Abstract

In this work, a ZnO-based resistive switching memory device is characterized by using simplified electrical conduction models. The conventional bipolar resistive switching and complementary resistive switching modes are accomplished by tuning the bias voltage condition. The material and chemical information of the device stack including the interfacial layer of TiON is well confirmed by transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS) analysis. The device exhibits uniform gradual bipolar resistive switching (BRS) with good endurance and self-compliance characteristics. Moreover, complementary resistive switching (CRS) is achieved by applying the compliance current at negative bias and increasing the voltage at positive bias. The synaptic behaviors such as long-term potentiation and long-term depression are emulated by applying consecutive pulse input to the device. The CRS mode has a higher array size in the cross-point array structure than the BRS mode due to more nonlinear I-V characteristics in the CRS mode. However, we reveal that the BRS mode shows a better pattern recognition rate than the CRS mode due to more uniform conductance update.

摘要

在这项工作中,基于氧化锌的电阻式开关存储器件通过使用简化的导电模型进行表征。传统的双极电阻式开关和互补电阻式开关模式通过调整偏置电压条件来实现。包括TiON界面层在内的器件堆叠的材料和化学信息通过透射电子显微镜(TEM)和X射线光电子能谱(XPS)分析得到了很好的证实。该器件表现出均匀的渐变双极电阻式开关(BRS),具有良好的耐久性和自一致性特性。此外,通过在负偏置下施加合规电流并在正偏置下增加电压来实现互补电阻式开关(CRS)。通过向器件施加连续脉冲输入来模拟诸如长时程增强和长时程抑制等突触行为。由于CRS模式中更多的非线性I-V特性,CRS模式在交叉点阵列结构中的阵列尺寸比BRS模式更大。然而,我们发现由于更均匀的电导更新,BRS模式显示出比CRS模式更好的模式识别率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a2/7911158/84a151c2115b/nanomaterials-11-00315-g001.jpg

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