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Filtering by: Author Jun Kikkawa Funder Japan Society for the Promotion of Science Type of work Publication Publisher Springer Science and Business Media LLC

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

Unsupervised machine learning combined with 4D scanning transmission electron microscopy for bimodal nanostructural analysis

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