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Naoya Miyauchi
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JSPS
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1.
Fusion data analysis of imaging data of hydrogenpermeated steel obtained by complementary methods
Description/Abstract:
オペランド水素顕微鏡で取得したステンレス鋼透過水素の時間応答挙動を、電子顕微鏡画像との画像融合後に数種の計算科学的手法で解析した。 主成分分析(PCA)、スパースモデリングの代表であるLASSO、ニューラルネットワークを使用した次元圧縮のひとつであるオートエンコーダ、で構...
Keyword:
Autoencoder
,
Hydrogen diffusion
,
Least absolute shrinkage and selection operator
, and
Principal component analysis
Resource Type:
Article
Author:
Tomomi Akiyama
,
Naoya Miyauchi
,
Akiko N. Itakura
,
Takayuki Yamagishi
, and
Satoka Aoyagi
Journal:
JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B
Date Uploaded:
26/10/2023
Date Modified:
26/10/2023
2.
2-step reaction kinetics for hydrogen absorption into bulk material via dissociative adsorption on the surface
Description/Abstract:
We have demonstrated that the process of hydrogen absorption into a solid experimentally follows a Langmuir-type (hyperbolic) function in...
Keyword:
2-step reaction kinetics (2sRK) model
and
hydrogen absorption
Resource Type:
Article
Author:
Taro Yakabe
,
Gaku Imamura
,
Genki Yoshikawa
,
Naoya Miyauchi
,
Masahiro Kitajima
, and
Akiko N. Itakura
Journal:
Scientific Reports
Date Uploaded:
23/10/2023
3.
Model of local hydrogen permeability in stainless steel with two coexisting structures
Description/Abstract:
The dynamics of hydrogen in metals with mixed grain structure is not well understood at a microscopic scale. One of the biggest issues fa...
Keyword:
hydrogen permeation
,
hydrogen visualization
,
permeation model
, and
stainless steel
Resource Type:
Article
Author:
Akiko N. Itakura
,
Naoya Miyauchi
,
Yoshiharu Murase
,
Taro Yakabe
,
Masahiro Kitajima
, and
Satoka Aoyagi
Journal:
Scientific Reports
Date Uploaded:
23/10/2023
4.
Classification of EBSD Kikuchi patterns for stainless steel by unsupervised learning methods to investigate grain boundaries
Description/Abstract:
EBSD indexing based on Kikuchi diffraction patterns, which indicate the types and orientation of the crystal lattice, is generally effect...
Keyword:
EBSD
,
hydrogen permeation
,
stainless steel
, and
unsupervised learning
Resource Type:
Article
Author:
Satoka Aoyagi
,
Daisuke Hayashi
,
Yoshiharu Murase
,
Naoya Miyauchi
, and
Akiko N. Itakura
Journal:
e-Journal of Surface Science and Nanotechnology
Date Uploaded:
23/10/2023
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hydrogen permeation
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Autoencoder
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Springer Science and Business Media LLC
2
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4
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Creative Commons BY Attribution 4.0 International
3
Creative Commons BY-NC Attribution-NonCommercial 4.0 International
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Akiko N. Itakura
4
Naoya Miyauchi
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3
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JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B
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e-Journal of Surface Science and Nanotechnology
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