Issue 14, 2022
From the journal:

Nanoscale

Correction: ‘Stateful’ threshold switching for neuromorphic learning

Zhijian Zhong,a   Zhiguo Jiang,a   Jianning Huang,a   Fangliang Gao,*a   Wei Hu,b   Yong Zhanga  and  Xinman Chen*a  

* Corresponding authors

a Guangdong Engineering Research Center of Optoelectronic Functional Materials and Devices, Institute of Semiconductors, South China Normal University, Guangzhou 510631, PR China
E-mail: gaofl@m.scnu.edu.cn, chenxinman@m.scnu.edu.cn

b Key Laboratory of Optoelectronic Technology and System of Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, PR China

Abstract

Correction for ‘‘Stateful’ threshold switching for neuromorphic learning’ by Zhijian Zhong et al., Nanoscale, 2022, DOI: 10.1039/d1nr05502j.

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Article information

DOI
https://doi.org/10.1039/D2NR90061K
Article type
Correction
Submitted
16 Mar 2022
Accepted
16 Mar 2022
First published
28 Mar 2022
This article is Open Access
Creative Commons BY license

Nanoscale, 2022,14, 5625-5625

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Correction: ‘Stateful’ threshold switching for neuromorphic learning

Z. Zhong, Z. Jiang, J. Huang, F. Gao, W. Hu, Y. Zhang and X. Chen, Nanoscale, 2022, 14, 5625 DOI: 10.1039/D2NR90061K

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