Memristors with tunable characteristics based on the tellurene/Nb-doped MoS2 heterojunction toward bio-realistic synaptic emulation

Author:

Zeng Xiangyu12ORCID,Zhang Liang3ORCID,Peng Jiaqi12,Ye Qikai4,Ma Boyang4,Xu Hongsheng5,Liu Yulu4ORCID,Shuaibu Nazifi Sani4ORCID,Wang Xiaozhi4,Wang Yixiu3ORCID,Liu Yan12,Hao Yue12ORCID,Han Genquan12

Affiliation:

1. Hangzhou Institute of Technology, Xidian University 1 , Hangzhou 311200, China

2. State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology, School of Microelectronics, Xidian University 2 , Xi'an 710071, China

3. Research Center for Humanoid Sensing and Perception, Zhejiang Lab 3 , Hangzhou 311100, China

4. College of Information Science and Electronic Engineering, Zhejiang University 4 , Hangzhou 310027, China

5. Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Anhui University 5 , Hefei 230601, China

Abstract

Emerging intelligence applications, such as brain-inspired and in-memory computing, require memory with faster read/write speeds, higher integration, and lower energy consumption. To tackle these challenges, memristors, a type of synaptic device, are considered ideal candidates due to their potential for emulating biological synaptic connections. In this study, a two-dimensional (2D) heterostructure of tellurene/Nb-doped MoS2 (MoS2:Nb) was used as the resistive switching layer to fabricate memristors. By varying the maximum working voltage, the fabricated device can switch between one and two-memory windows, which can be used to imitate the postsynaptic inhibition effect. This is attributed to the competition between the drift and diffusion of the S vacancy in the MoS2:Nb layer, which can modulate the contact Schottky barrier in the material interfaces. Furthermore, biological synapse effects, such as long-term depression and long-term potentiation, can be well mimicked by applying several voltage pulses to the device with good repeatability. This study advances the device physics for understanding the physical working mechanism of the 2D memristor, which can benefit the realization of bio-realistic neuromorphic computing systems based on such memristors.

Funder

National Natural Science Foundation of China

Key Research and Development Project of Zhejiang

Dr. Li Dak Sum & Yip Yio Chin Development Fund for Regenerative Medicine

Fundamental Research Funds for the Central Universities

Natural Science Basic Research Program of Shanxi

National Key R&D Program of China

Major Program of Zhejiang Natural Science Foundation

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3