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  1. 学術雑誌論文
  2. 4 自然科学

Classification tasks using input driven nonlinear magnetization dynamics in spin Hall oscillator

http://hdl.handle.net/10228/0002000063
http://hdl.handle.net/10228/0002000063
baa23fd2-d109-4a8e-9375-b0118de4fef4
名前 / ファイル ライセンス アクション
s41598-023-34849-7.pdf s41598-023-34849-7.pdf (6 MB)
Item type 学術雑誌論文 = Journal Article(1)
公開日 2023-08-18
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 Classification tasks using input driven nonlinear magnetization dynamics in spin Hall oscillator
言語 en
言語
言語 eng
著者 Mohan, John Rex

× Mohan, John Rex

en Mohan, John Rex

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Mathew, Arun Jacob

× Mathew, Arun Jacob

en Mathew, Arun Jacob

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Nishimura, Kazuma

× Nishimura, Kazuma

en Nishimura, Kazuma

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Feng, Ruoyan

× Feng, Ruoyan

en Feng, Ruoyan

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Medwal, Rohit

× Medwal, Rohit

en Medwal, Rohit

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Gupta, Surbhi

× Gupta, Surbhi

en Gupta, Surbhi

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Rawat, Rajdeep Singh

× Rawat, Rajdeep Singh

en Rawat, Rajdeep Singh

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福間, 康裕

× 福間, 康裕

WEKO 25415
e-Rad 90513466
Scopus著者ID 7003509599
ORCiD 0000-0002-1280-1644
九工大研究者情報 100000402

en Fukuma, Yasuhiro

ja 福間, 康裕

ja-Kana フクマ, ヤスヒロ


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抄録
内容記述タイプ Abstract
内容記述 The inherent nonlinear magnetization dynamics in spintronic devices make them suitable candidates for neuromorphic hardware. Among spintronic devices, spin torque oscillators such as spin transfer torque oscillators and spin Hall oscillators have shown the capability to perform recognition tasks. In this paper, with the help of micromagnetic simulations, we model and demonstrate that the magnetization dynamics of a single spin Hall oscillator can be nonlinearly transformed by harnessing input pulse streams and can be utilized for classification tasks. The spin Hall oscillator utilizes the microwave spectral characteristics of its magnetization dynamics for processing a binary data input. The spectral change due to the nonlinear magnetization dynamics assists in real-time feature extraction and classification of 4-binary digit input patterns. The performance was tested for the classification of the standard MNIST handwritten digit data set and achieved an accuracy of 83.1% in a simple linear regression model. Our results suggest that modulating time-driven input data can generate diverse magnetization dynamics in the spin Hall oscillator that can be suitable for temporal or sequential information processing.
書誌情報 en : Scientific Reports

巻 13, 号 1, p. 7909, 発行日 2023-05-16
出版社
出版者 Nature Publishing Group
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1038/s41598-023-34849-7
ISSN
収録物識別子タイプ EISSN
収録物識別子 2045-2322
著作権関連情報
権利情報Resource http://creativecommons.org/licenses/by/4.0/
権利情報 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/100000402_ja.html
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