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Fumihiko Uesugi
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Jun Kikkawa
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1.
Unsupervised machine learning combined with 4D scanning transmission electron microscopy for bimodal nanostructural analysis
Description/Abstract:
Unsupervised machine learning techniques have been combined with scanning transmission electron microscopy (STEM) to enable comprehensive...
Keyword:
4D-STEM
,
Hierachical Clustering
,
Metallic Glass
,
Non-negative Matrix Factorization
,
Scanning Transmission Electron Microscopy
, and
Unsupervised Machine Learning
Resource Type:
Article
Author:
Koji Kimoto
,
Jun Kikkawa
,
Koji Harano
,
Ovidiu Cretu
,
Yuki Shibazaki
, and
Fumihiko Uesugi
Journal:
Scientific Reports
Date Uploaded:
15/02/2024
2.
Non-negative matrix factorization for mining big data obtained using four-dimensional scanning transmission electron microscopy
Description/Abstract:
Scientific instruments for material characterization have recently been improved to yield big data. For instance, scanning transmission e...
Keyword:
electron microscopy
,
four-dimensional scanning transmission electron microscopy
, and
non-negative matrix factorization
Resource Type:
Article
Author:
Fumihiko Uesugi
,
Shogo Koshiya
,
Jun Kikkawa
,
Takuro Nagai
,
Kazutaka Mitsuishi
, and
Koji Kimoto
Journal:
Ultramicroscopy
Date Uploaded:
02/08/2022
Date Modified:
03/08/2022
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Hierachical Clustering
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English
2
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Elsevier BV
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Creative Commons BY Attribution 4.0 International
1
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
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Author
Fumihiko Uesugi
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Jun Kikkawa
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Koji Kimoto
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Japan Society for the Promotion of Science
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