Vacuum and Surface Science
Online ISSN : 2433-5843
Print ISSN : 2433-5835
Special Feature : Physical Reservoir Computing
Solid Electrolyte-based Physical Reservoir
Tsuyoshi HASEGAWA Hirofumi TANAKA
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2024 Volume 67 Issue 11 Pages 521-526

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Abstract

A solid electrolyte-based physical reservoir utilizes ions’ diffusion and their redox reactions to achieve nonlinear transformation of input and its short-term memorization. One of the major advantage in using a solid electrolyte is easy fabrication of a recurrent neural network with a large number of ‘nodes’, which enables various functions unique to the material-based physical reservoir such as in-sensor computing.

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この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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