| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2026-02-27 |
| タイトル |
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タイトル |
Information processing capabilities of two parallel gold-nanoparticle reservoirs dependent on operation temperatures |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
Hayashi, Yuki
Shimada, Hiroshi
Mizugaki, Yoshinao
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
We demonstrate the fabrication and performance evaluation of physical reservoir computing (PRC) using a random network of gold nanoparticles (GNPs). We fabricated two random arrays of GNPs with six electrodes on one sample. Electrical measurements for each array and two parallelized arrays were conducted at temperatures of 4.2 K, 77 K, and 294 K. The random connections of GNPs brought varied tunneling resistances, resulting in various output voltages. The computational performance was assessed using the second-order nonlinear autoregression moving average task. The parallelized reservoir configuration achieved the normalized mean square error as small as 0.03 at 294 K. This higher performance was evaluated through information processing capability and was attributed to the increased second-order capacity at 294 K. Although PRC with GNPs was traditionally regarded to rely on the Coulomb-blockade-induced nonlinearity, nonlinear dynamics possibly due to thermal noise and non-uniform tunnel barriers were effective in reservoir calculations even at room temperature. |
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言語 |
en |
| bibliographic_information |
en : Japanese Journal of Applied Physics
巻 64,
号 2,
p. 02SP42,
発行日 2025-02-26
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| 出版者 |
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出版者 |
The Japan Society of Applied Physics |
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言語 |
en |
| item_10001_source_id_9 |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
13474065 |
| item_10001_relation_14 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.35848/1347-4065/adb29a |
| 権利 |
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権利情報 |
(c) 2025 The Japan Society of Applied Physics |
| 出版タイプ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |