Flexible boron nitride-based memristor for in situ digital and analogue neuromorphic computing applications-Reference-Cited by-同舟云学术

Flexible boron nitride-based memristor for in situ digital and analogue neuromorphic computing applications

Published:2021 Issue:2 Volume:8 Page:538-546
ISSN:2051-6347
Container-title:Materials Horizons
language:en
Short-container-title:Mater. Horiz.

Author:

Meng Jia-Lin¹²³^ORCID,Wang Tian-Yu¹²³^ORCID,He Zhen-Yu¹²³,Chen Lin¹²³^ORCID,Zhu Hao¹²³^ORCID,Ji Li¹²³,Sun Qing-Qing¹²³,Ding Shi-Jin¹²³^ORCID,Bao Wen-Zhong¹²³^ORCID,Zhou Peng¹²³^ORCID,Zhang David Wei¹²³

Affiliation:

1. State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University

2. Shanghai 200433

3. China

Abstract

Flexible low-power consumption BN-based memristors have the integrated capabilities of digital memcomputing and analogue neuromorphic computing.

Funder

National Natural Science Foundation of China

Shanghai Rising-Star Program

Program of Shanghai Subject Chief Scientist

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrical and Electronic Engineering,Process Chemistry and Technology,Mechanics of Materials,General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2021/MH/D0MH01730B

Reference48 articles.

1. Towards spike-based machine intelligence with neuromorphic computing

2. Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

3. Resistive switching materials for information processing

4. Memory devices and applications for in-memory computing

5. Scalable energy-efficient magnetoelectric spin–orbit logic

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