Voltage-controlled skyrmion-based nanodevices for neuromorphic computing using a synthetic antiferromagnet-Reference-Cited by-同舟云学术

Voltage-controlled skyrmion-based nanodevices for neuromorphic computing using a synthetic antiferromagnet

Published:2020 Issue:3 Volume:2 Page:1309-1317
ISSN:2516-0230
Container-title:Nanoscale Advances
language:en
Short-container-title:Nanoscale Adv.

Author:

Yu Ziyang¹²³⁴⁵,Shen Maokang⁶⁷⁴⁵,Zeng Zhongming⁸⁹¹⁰¹¹⁵^ORCID,Liang Shiheng¹²¹³¹⁴⁵,Liu Yong¹²³⁴⁵,Chen Ming¹²³⁴⁵,Zhang Zhenhua¹²³⁴⁵,Lu Zhihong¹⁵¹⁶¹⁷⁴⁵^ORCID,You Long⁶⁷⁴⁵^ORCID,Yang Xiaofei⁶⁷⁴⁵,Zhang Yue⁶⁷⁴⁵^ORCID,Xiong Rui¹²³⁴⁵

Affiliation:

1. Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education

2. School of Physics and Technology

3. Wuhan University

4. Wuhan

5. P. R. China

6. School of Optical and Electronic Information

7. Huazhong University of Science and Technology

8. Key Laboratory of Multifunctional Nanomaterials and Smart Systems

9. Suzhou Institute of Nano-Tech and Nano-Bionics

10. Chinese Academy of Sciences

11. Suzhou

12. Department of Physics

13. Hubei University

14. Wuhan 430062

15. The State Key Laboratory of Refractories and Metallurgy

16. School of Materials and Metallurgy

17. Wuhan University of Science and Technology

Abstract

Skyrmion size in an synthetic antiferromagnet is significantly altered via voltage control of RKKY coupling, which exhibits potential for a neuromorphic computing with ultralow dissipation.

Funder

Huazhong University of Science and Technology

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Materials Science,General Chemistry,Atomic and Molecular Physics, and Optics,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2020/NA/D0NA00009D

Reference39 articles.

1. Training and operation of an integrated neuromorphic network based on metal-oxide memristors

2. Stochastic phase-change neurons