Leveraging volatile memristors in neuromorphic computing: from materials to system implementation-Reference-Cited by-同舟云学术

Leveraging volatile memristors in neuromorphic computing: from materials to system implementation

Published:2024 Issue: Volume: Page:
ISSN:2051-6347
Container-title:Materials Horizons
language:en
Short-container-title:Mater. Horiz.

Author:

Moon Taehwan¹,Soh Keunho²³,Kim Jong Sung²³⁴,Kim Ji Eun²³,Chun Suk Yeop²⁵,Cho Kyungjune⁴,Yang J. Joshua⁶,Yoon Jung Ho⁷^ORCID

Affiliation:

1. Department of Intelligence Semiconductor Engineering, Ajou University, Suwon 16499, Republic of Korea

2. Electronic Materials Research Center, Korea Institute of Science and Technology (KIST), Seoul 02791, Republic of Korea

3. Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea

4. Convergence Research Center for Solutions to Electromagnetic Interference in Future-mobility (SEIF), Korea Institute of Science and Technology (KIST), Seoul 02791, Republic of Korea

5. KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, Republic of Korea

6. Electrical and Computer Engineering, University of Southern California, LA 90089, USA

7. School of Advanced Materials and Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea

Abstract

This review explores various mechanisms enabling threshold switching in volatile memristors and introduces recent progress in the implementation of neuromorphic computing systems based on these mechanisms.

Funder

Ministry of Science and ICT, South Korea

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/MH/D4MH00675E

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