Nanoscale memristor devices: materials, fabrication, and artificial intelligence-Reference-Cited by-同舟云学术

Nanoscale memristor devices: materials, fabrication, and artificial intelligence

Published:2024 Issue:11 Volume:12 Page:3770-3810
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Yu Yongchao¹,Xiao Ming²^ORCID,Fieser David³,Zhou Wei¹,Hu Anming³^ORCID

Affiliation:

1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore

2. School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, Guangdong Province 519082, China

3. Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee Knoxville, 1512 Middle Drive, Knoxville, TN 37996, USA

Abstract

An overview of fabrication methods, including CMOS, nanojoining, and 3D printing techniques, materials, structures, properties, mechanisms, and applications of memristors, as well as the most recent advancements in molecular memristors, is provided.

Funder

University of Tennessee, Knoxville

Sun Yat-sen University

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TC/D3TC04510B

Reference307 articles.

1. Nanoscale Memristor Device as Synapse in Neuromorphic Systems

2. Memristor‐Based Neuromorphic Chips

3. Memristor-Based Artificial Chips

4. Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron

5. Artificial synapse network on inorganic proton conductor for neuromorphic systems

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