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  1. 学術雑誌論文
  2. 4 自然科学

Influence of junction resistance on spatiotemporal dynamics and reservoir computing performance arising from an SWNT/POM 3D network formed via a scaffold template technique

http://hdl.handle.net/10228/0002000081
http://hdl.handle.net/10228/0002000081
e5d458bc-0cc7-49e2-8bd4-1734345e604f
名前 / ファイル ライセンス アクション
neuro_27.pdf neuro_27.pdf (5.1 MB)
Item type 学術雑誌論文 = Journal Article(1)
公開日 2023-09-05
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル Influence of junction resistance on spatiotemporal dynamics and reservoir computing performance arising from an SWNT/POM 3D network formed via a scaffold template technique
言語 en
言語
言語 eng
著者 Azhari, Saman

× Azhari, Saman

en Azhari, Saman

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Banerjee, Deep

× Banerjee, Deep

en Banerjee, Deep

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Kotooka, Takumi

× Kotooka, Takumi

en Kotooka, Takumi

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宇佐美, 雄生

× 宇佐美, 雄生

WEKO 30607
e-Rad 60878437
Scopus著者ID 7005662314
ORCiD 0000-0002-8583-325X
九工大研究者情報 100001328

en Usami, Yuki

ja 宇佐美, 雄生

ja-Kana ウサミ, ユウキ


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田中, 啓文

× 田中, 啓文

WEKO 22854
e-Rad 90373191
Scopus著者ID 55628563135
ORCiD 0000-0002-4378-5747
九工大研究者情報 100000720

en Tanaka, Hirofumi

ja 田中, 啓文

ja-Kana タナカ, ヒロフミ


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内容記述タイプ Other
内容記述 For scientists in numerous fields, creating a physical device that can function like the human brain is an aspiration. It is believed that we may achieve brain-like spatiotemporal information processing by fabricating an in materio reservoir computing (RC) device because of a complex random network topology with nonlinear dynamics. One of the significant drawbacks of a two-dimensional physical reservoir system is the difficulty in controlling the network density. This work reports the use of a 3D porous template as a scaffold to fabricate a three-dimensional network of a single-walled carbon nanotube polyoxometalate nanocomposite. Although the three-dimensional system exhibits better nonlinear dynamics and spatiotemporal dynamics, and higher harmonics generation than a two-dimensional system, the results suggest a correlation between a higher number of resistive junctions and reservoir performance. We show that by increasing the spatial dimension of the device, the memory capacity improves, while the scale-free network exponent (γ) remains nearly unchanged. The three-dimensional device also displays improved performance in the well-known RC benchmark task of waveform generation. This study demonstrates the impact of an additional spatial dimension, network distribution and network density on in materio RC device performance and tries to shed some light on the reason behind such behavior.
書誌情報 en : Nanoscale

巻 15, 号 18, p. 8169-8180
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1039/D2NR04619A
ISSN
収録物識別子タイプ EISSN
収録物識別子 2040-3372
著作権関連情報
権利情報Resource http://creativecommons.org/licenses/by-nc/3.0/
権利情報 Copyright (c) The Royal Society of Chemistry 2023. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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