Advanced artificial synaptic thin-film transistor based on doped potassium ions for neuromorphic computing <i>via</i> third-generation neural network-Reference-Cited by-同舟云学术

Advanced artificial synaptic thin-film transistor based on doped potassium ions for neuromorphic computing via third-generation neural network

Published:2022 Issue:8 Volume:10 Page:3196-3206
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Cao Yixin¹,Zhao Tianshi¹^ORCID,Zhao Chun¹²^ORCID,Liu Yina³⁴,Song Pengfei¹²,Gao Hao⁵,Zhao Ce Zhou¹²

Affiliation:

1. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK

2. School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China

3. Department of Applied Mathematics, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China

4. Department of Applied Mathematics, University of Liverpool, Liverpool L69 7ZD, UK

5. Eindhoven University of Technology, Eindhoven, The Netherland

Abstract

A novel technology of doping potassium ions to enhance the synaptic characteristics of synaptic thin-film transistors. The classifier of Spiking Neural Network with significant energy efficiency was successfully operated based on the proposed device.

Funder

Natural Science Research of Jiangsu Higher Education Institutions of China

Natural Science Foundation of Jiangsu Province

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/TC/D1TC04827A

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