Cao, Yixin, Zhao, Tianshi, Zhao, Chun, Liu, Yina, Song, Pengfei, Gao, Hao and Zhao, Ce Zhou
(2022)
Advanced artificial synaptic thin-film transistor based on doped potassium ions for neuromorphic computing via third-generation neural network.
JOURNAL OF MATERIALS CHEMISTRY C, 10 (8).
pp. 3196-3206.
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Abstract
<jats:p>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.</jats:p>
Item Type: | Article |
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Uncontrolled Keywords: | Neurosciences, 7 Affordable and Clean Energy |
Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science Faculty of Science and Engineering > School of Physical Sciences |
Depositing User: | Symplectic Admin |
Date Deposited: | 15 Jun 2023 07:59 |
Last Modified: | 14 Mar 2024 17:56 |
DOI: | 10.1039/d1tc04827a |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3171015 |