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Unsupervised clustering for identifying spatial inhomogeneity on local electronic structures
https://repo.qst.go.jp/records/84978
https://repo.qst.go.jp/records/84978c7f01941-3a41-4bac-b297-53fcff930901
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-11-18 | |||||
タイトル | ||||||
タイトル | Unsupervised clustering for identifying spatial inhomogeneity on local electronic structures | |||||
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 |
Hideaki, Iwasawa
× Hideaki, Iwasawa× Tetsuro, Ueno× Masui, Takahiko× Tajima, Setsuko× Hideaki, Iwasawa× Tetsuro, Ueno |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Spatial inhomogeneity on the electronic structure is one of the vital keys to provide a better understanding of the emergent quantum phenomenon. Given the recent developments on spatially-resolved ARPES (ARPES: angle-resolved photoemission spectroscopy), the information on the spatial inhomogeneity on the local electronic structure is now accessible. However, the next challenge becomes apparent as the conventional analysis encounters difficulty handling a large volume of a spatial mapping dataset, typically generated in the spatially-resolved ARPES experiments. Here, we propose a machine-learning-based approach using unsupervised clustering algorithms (K-means and fuzzy-c-means) to examine the spatial mapping dataset. Our analysis methods enable automated categorization of the spatial mapping dataset with a much-reduced human intervention and workload, thereby allowing quick identification and visualization of the spatial inhomogeneity on the local electronic structures. | |||||
書誌情報 |
npj Quantum Materials 巻 7, p. 24, 発行日 2022-02 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2397-4648 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1038/s41535-021-00407-5 | |||||
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識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41535-021-00407-5 |