MXene‐ZnO Memristor for Multimodal In‐Sensor Computing-Reference-Cited by-同舟云学术

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MXene‐ZnO Memristor for Multimodal In‐Sensor Computing

Published:2021-02-19 Issue:21 Volume:31 Page:2100144
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv. Funct. Mater.

Author:

Wang Yan¹²,Gong Yue¹,Yang Lin¹,Xiong Ziyu¹,Lv Ziyu¹,Xing Xuechao¹,Zhou Ye³,Zhang Bing¹,Su Chenliang¹,Liao Qiufan¹,Han Su‐Ting¹^ORCID

Affiliation:

1. Institute of Microscale Optoelectronics Shenzhen University Shenzhen 518060 P. R. China

2. Hefei Innovation Research Institute School of Microelectronics Beihang University Hefei 230013 P. R. China

3. Institute for Advanced Study Shenzhen University Shenzhen 518060 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202100144

Reference66 articles.

1. How the Retina Works

2. A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

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

4. Optoelectronic resistive random access memory for neuromorphic vision sensors

5. Carbon Nanotube Synaptic Transistor Network for Pattern Recognition

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