Memristors based on multilayer graphene electrodes for implementing a low-power neuromorphic electronic synapse-Reference-Cited by-同舟云学术

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Memristors based on multilayer graphene electrodes for implementing a low-power neuromorphic electronic synapse

Published:2020 Issue:14 Volume:8 Page:4926-4933
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Yan Xiaobing¹²³⁴⁵^ORCID,Cao Gang¹²³⁴⁵,Wang Jingjuan¹²³⁴⁵,Man Menghua⁶⁷⁸⁹,Zhao Jianhui¹²³⁴⁵,Zhou Zhenyu¹²³⁴⁵,Wang Hong¹²³⁴⁵,Pei Yifei¹²³⁴⁵,Wang Kaiyang¹²³⁴⁵,Gao Chao¹²³⁴⁵,Lou Jianzhong¹²³⁴⁵,Ren Deliang¹²³⁴⁵,Lu Chao¹⁰¹¹¹²¹³^ORCID,Chen Jingsheng¹⁴¹⁵¹⁶¹⁷^ORCID

Affiliation:

1. National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices

2. Key Laboratory of Digital Medical Engineering of Hebei Province

3. College of Electron and Information Engineering

4. Hebei University

5. Baoding 071002

6. National Key Laboratory on Electromagnetic Environment Effects

7. Army Engineering University

8. Shijiazhuang 050000

9. China

10. Department of Electrical and Computer Engineering

11. Southern Illinois University Carbondale

12. Carbondale

13. USA

14. Department of Materials Science and Engineering

15. National University of Singapore

16. Singapore 117576

17. Singapore

Abstract

The Ta/Ta₂O₅/AlN/graphene memristor with silicon-based multilayer graphene films as the bottom electrode has stable electrical characteristics.

Funder

National Natural Science Foundation of China

Hebei University

Institute of Microelectronics of the Chinese Academy of Sciences

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/TC/D0TC00316F

Reference49 articles.

1. The Molecular Biology of Memory Storage: A Dialogue Between Genes and Synapses

2. Freestanding Artificial Synapses Based on Laterally Proton-Coupled Transistors on Chitosan Membranes

3. Low‐Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing

4. Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS2 Transistors

5. An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse

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4. Effect of oxygen vacancy and Si doping on the electrical properties of Ta2O5 in memristor characteristics;Scientific Reports;2023-10-03

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