Memristive Devices Based on Necklace-like Structure Ag@TiO<sub>2</sub> Nanowire Networks for Neuromorphic Learning and Reservoir Computing-Reference-Cited by-同舟云学术

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Memristive Devices Based on Necklace-like Structure Ag@TiO₂ Nanowire Networks for Neuromorphic Learning and Reservoir Computing

Published:2024-08-28 Issue:17 Volume:7 Page:21018-21025
ISSN:2574-0970
Container-title:ACS Applied Nano Materials
language:en
Short-container-title:ACS Appl. Nano Mater.

Author:

Weng Zhengjin¹,Ji Tianyi¹,Yu Yanling¹,Fang Yong¹,Lei Wei¹,Shafie Suhaidi²,Jindapetch Nattha³,Zhao Zhiwei¹^ORCID

Affiliation:

1. Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, P.R. China

2. Department of Electrical and Electronic Engineering, University Putra Malaysia, Serdang 43400, Malaysia

3. Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand

Funder

Jiangsu Provincial Department of Education

Jiangsu Provincial Department of Science and Technology

Chinese Academy of Sciences

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsanm.4c04063

Reference45 articles.

1. Neuromorphic nanoelectronic materials

2. Neuro-inspired computing chips

3. Memristive crossbar arrays for brain-inspired computing

4. A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing

5. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

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