Interfacial Switching-Based, Bioinspired, Highly Stable, and Reliable Synapse for Neuromorphic Applications-Reference-Cited by-同舟云学术

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Interfacial Switching-Based, Bioinspired, Highly Stable, and Reliable Synapse for Neuromorphic Applications

Published:2023-07-03 Issue:7 Volume:5 Page:3733-3740
ISSN:2637-6113
Container-title:ACS Applied Electronic Materials
language:en
Short-container-title:ACS Appl. Electron. Mater.

Author:

Gawai Umesh¹^ORCID,Wu Chien-Hung²^ORCID,Chang Kow-Ming³

Affiliation:

1. UST-IPPP, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan

2. Department of Optoelectronics and Materials Engineering, Chung Hua University, Hsinchu 30012, Taiwan

3. Institute of Electronics Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Electrochemistry,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsaelm.3c00444

Reference43 articles.

1. Improved Synaptic Behavior Under Identical Pulses Using AlOx/HfO2Bilayer RRAM Array for Neuromorphic Systems

2. Enhanced Switching Properties in TaOx Memristors Using Diffusion Limiting Layer for Synaptic Learning

3. Flexible electronic synapse enabled by ferroelectric field effect transistor for robust neuromorphic computing

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

5. High switching endurance in TaOx memristive devices

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resistive Mechanisms and Microscopic Electrical Models of Metal Oxide Resistive Memory;physica status solidi (a);2023-10-27

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