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Fumihiko Uesugi
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Giant piezoresponse in nanoporous (Ba,Ca)(Ti,Zr)O<sub>3</sub> thin film
Description/Abstract:
Lattice strain effects on the piezoelectric properties of crystalline ferroelectrics have been extensively studied for decades; however, ...
Keyword:
ferroelectric
,
nanoporous
,
piezoelectric
,
piezoresponse
, and
strained lattice structure
Resource Type:
Article
Author:
Motasim Billah
,
Yukana Terasawa
,
Mostafa Kamal Masud
,
Toru Asahi
,
Mohamed Barakat Zakaria Hegazy
,
Takahiro Nagata
,
Toyohiro Chikyow
,
Fumihiko Uesugi
,
Md. Shahriar A. Hossain
, and
Yusuke Yamauchi
Journal:
Chemical Science
Date Uploaded:
10/10/2024
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
Description/Abstract:
Local electronic structure in the ground state is essential for understanding the stability and properties of materials. Core-loss spectr...
Keyword:
ELNES
,
Machine learning
,
PDOS
, and
XANES
Resource Type:
Article
Author:
Izumi Takahara
,
Fumihiko Uesugi
,
Koji Kimoto
,
Kiyou Shibata
, and
Teruyasu Mizoguchi
Journal:
The Journal of Physical Chemistry C
Date Uploaded:
02/10/2024
Classification for transmission electron microscope images from different amorphous states using persistent homology
Description/Abstract:
アモルファスと液体状態のTEM像を種々のフォーカスでシミュレーションによって作成し、それらをパーシステントホモロジーと機械学習を用いて識別可能か検討を行った。その結果、実効的なフォーカス範囲において正答率が85%以上であったことを報告する。
Keyword:
Amorphous structure
,
GaN
,
TEM image simulation
, and
persistent homology
Resource Type:
Article
Author:
Fumihiko Uesugi
and
Masashi Ishii
Journal:
Microscopy
Date Uploaded:
04/07/2024
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
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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3
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Fumihiko Uesugi
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Japan Society for the Promotion of Science
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Australian Research Council
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Core Research for Evolutional Science and Technology
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Japan Science and Technology Agency
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Kumamoto University
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Chemical Science
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Microscopy
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Scientific Reports
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The Journal of Physical Chemistry C
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