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Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling
https://repo.qst.go.jp/records/48692
https://repo.qst.go.jp/records/486928d984bf8-37d3-4d3b-a359-9f321a6279d9
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-04-12 | |||||
タイトル | ||||||
タイトル | Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling | |||||
言語 | ||||||
言語 | eng | |||||
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 | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Ueno, Tetsuro
× Ueno, Tetsuro× Hino, Hideitsu× Hashimoto, Ai× Takeichi, Yasuo× Sawada, Masahiro× Ono, Kanta× 上野 哲朗 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Spectroscopy is a widely used experimental technique, and enhancing its efficiency can have a strong impact on materials research. We propose an adaptive design for spectroscopy experiments that uses a machine learning technique to improve efficiency. We examined X-ray magnetic circular dichroism (XMCD) spectroscopy for the applicability of a machine learning technique to spectroscopy. An XMCD spectrum was predicted by Gaussian process modelling with learning of an experimental spectrum using a limited number of observed data points. Adaptive sampling of data points with maximum variance of the predicted spectrum successfully reduced the total data points for the evaluation of magnetic moments while providing the required accuracy. The present method reduces the time and cost for XMCD spectroscopy and has potential applicability to various spectroscopies. | |||||
書誌情報 |
npj Computational Materials 巻 4, 号 1, p. 4-1-4-8, 発行日 2018-01 |
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出版者 | ||||||
出版者 | Springer Nature | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2057-3960 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1038/s41524-017-0057-4 | |||||
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識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41524-017-0057-4 | |||||
関連名称 | https://www.nature.com/articles/s41524-017-0057-4 |