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Improving efficiency of autonomous material search via transfer learning from nontarget properties
Description/Abstract:
Recently, autonomous material search methods combining machine learning and experiments/simulations have become indispensable for explori...
Keyword:
Machine learning
Resource Type:
Article
Author:
Jaekyun Hwang
and
Yuma Iwasaki
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
27/10/2023
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
Hydrogen detection using membrane-type surface stress sensor
Description/Abstract:
This study shows a possibility of the application of a membrane-type surface stress sensor (MSS) with a Pd film to a hydrogen sensor. It ...
Keyword:
Hydrogen sensor
and
membrane-type surface stress sensor
Resource Type:
Article
Author:
Taro Yakabe
,
Gaku Imamura
,
Genki Yoshikawa
,
Masahiro Kitajima
, and
Akiko N Itakura
Journal:
Journal of Physics Communications
Date Uploaded:
26/10/2023
Estimation of Inelastic Mean Free Paths in Au and Cu from Their Elastic Peak Intensity Ratios without IMFP Values of Reference Material in The 200 – 5000 eV Energy Range
Description/Abstract:
We have determined electron inelastic mean free paths (IMFPs) and surface-electronic excitation parameters (SEPs) of Au and Cu in the 200...
Keyword:
Au and Cu
,
EPES
,
IMFP
,
elastic peak intensity
, and
electron inelastic mean free path
Resource Type:
Article
Author:
S. Tanuma
,
H. Yoshikawa
,
N. Okamoto
, and
K. Goto
Journal:
Journal of Surface Analysis
Date Uploaded:
25/10/2023
Date Modified:
25/10/2023
機械学習によるフェライト系耐熱鋼のクリープ破断寿命予測
Description/Abstract:
NIMSクリープデータシートを用い、機械学習によってフェライト耐熱鋼のクリープ寿命予測をおこなった。サポートベクター回帰手法によるものが最も予測性能が高く、テストデータに対するクリープ寿命の常用対数の二乗平均平方根誤差は0.14と小さく、これは1.38倍以内の予測精度を有す...
Keyword:
クリープ
,
クリープ破断寿命
,
フェライト系耐熱鋼
,
予測
, and
機械学習
Resource Type:
Article
Author:
櫻井 惇也
,
出村 雅彦
,
井上 純哉
, and
山﨑 政義
Journal:
TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN
Date Uploaded:
24/10/2023
Date Modified:
24/10/2023
Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
Description/Abstract:
炭素鋼の基底クリープ強度領域におけるクリープ寿命モデルを提案し、ベイズ統計によるモデル選択手法を適用することで、Moが単独で効果を有することを見出した。
Keyword:
Bayesian inference
,
Carbon steel
,
Creep rupture
,
Exhaustive search
,
Inherent creep strength
,
Larson–miller parameter
, and
Model selection
Resource Type:
Article
Author:
Junya Sakurai
,
Masahiko Demura
,
Yoh-ichi Mototake
,
Masato Okada
,
Masayoshi Yamazaki
, and
Junya Inoue
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
24/10/2023
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
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
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
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Description/Abstract:
NIMS-OS (NIMS Orchestration System) is a Python library created to realize a closed loop of robotic experiments and artificial intelligen...
Keyword:
NIMS-OS
,
artificial intelligence
, and
robotic experiments
Resource Type:
Article
Author:
Ryo Tamura
,
Koji Tsuda
, and
Shoichi Matsuda
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
20/10/2023
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598
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Research Highlights
80
MANA E-BULLETIN
15
The history of DICE and NIMS Digital Library
10
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IMFP
17
nanomechanical sensors
13
Spintronics
11
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Auger Depth Profiling Analysis
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519
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598
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264
Creative Commons BY Attribution 4.0 International
199
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43
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39
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Material/Specimen
HfO2
2
InP/GaInAsP multilayer specimens
2
41 elemental solids (Li, Be, graphite, diamond, glassy C, Na, Mg, Al, Si, K, Sc, Ti, V, Cr, Fe, Co, Ni, Cu, Ge, Y, Nb, Mo, Ru, Rh, Pd, Ag, In, Sn, Cs, Gd, Tb, Dy, Hf, Ta, W, Re, Os, Ir, Pt, Au, and Bi)
1
C (graphite), Si, Cr, Fe, Cu, Zn, Ga, Mo, Ag, Ta, W, Pt and Au
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26-n-paraffin
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Creator
TODOROKI, Shin-ichi
12
轟 眞市
9
INOUE, Satoru
8
田邉 浩介
2
MATSUMOTO, T.
1
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International Center for Materials Nanoarchitectonics (WPI-MANA)
95
Ikumu Watanabe
28
Tanuma, Shigeo
18
Kosuke Minami
17
Yuichi Oshima
16
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MOTEKI, Fuma
1
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http://rightsstatements.org/vocab/InC/1.0/
14
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7
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4
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2
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1
Funder
Japan Society for the Promotion of Science
38
JSPS
37
JST
22
Japan Science and Technology Agency
13
JSPS KAKENHI
8
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Journal
Physical Review B
21
Journal of Surface Analysis
10
Science and Technology of Advanced Materials
10
Scientific Reports
10
Surface and Interface Analysis
10
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