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キーワード: Machine learning
全ての絞り込みを解除
28 件のレコードが見つかりました。
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge
via
adaptive constraints
ジャーナル論文
著者
Akihiro Fujii
(author) (
この著者で検索
)
Akihiro Fujii
;
Anh Khoa Augustin Lu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4702-0933
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Anh Khoa Augustin Lu
;
Koji Shimizu
(author) (
この著者で検索
)
Koji Shimizu
;
Satoshi Watanabe
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
Satoshi Watanabe
キーワード
Gradient-based optimization
,
Superconductor
,
Domain knowledge integration
,
Materials discovery
,
Critical temperature
,
Machine learning
刊行年月日
2025-10-29
更新時刻
2026-05-18 14:53:14 +0900
機械学習を用いた耐熱鋼のクリープ寿命予測
書籍
著者
出村 雅彦
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7308-3041
物質・材料研究機構 技術開発・共用部門
NIMS Researchers Directory SAMURAI
出村 雅彦
キーワード
Machine learning
,
Structural Materials
,
Performance pridiction
,
Creep
刊行年月日
2025-05-30
更新時刻
2026-01-07 09:42:32 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
ジャーナル論文
著者
Guohai Chen
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
キーワード
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
刊行年月日
2025-10-20
更新時刻
2025-12-13 08:30:03 +0900
自律材料探索による磁性材料開発
ジャーナル論文
著者
岩崎 悠真
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
岩崎 悠真
キーワード
Machine learning
,
Materials Informatics
刊行年月日
2025-06-10
更新時刻
2025-12-12 08:30:25 +0900
Autonomous materials search using machine learning and ab initio calculations for L1
0
-FePt-based quaternary alloys
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Daisuke Ogawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
Masato Kotsugi
(author) (
この著者で検索
)
Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
キーワード
Machine learning
,
Autonomous
刊行年月日
2025-12-31
更新時刻
2025-12-25 15:02:29 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
プレゼンテーション
著者
Chiaki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6589-387X
National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Hiroshi Mamitsuka
(author) (
この著者で検索
)
Hiroshi Mamitsuka
キーワード
Machine learning
,
Multicellular dynamics
,
Concentrated polymer brush
,
Cellulose nanofiber
刊行年月日
更新時刻
2025-11-06 12:30:42 +0900
From Random Networks to AI-Driven Glass Design
プレゼンテーション
著者
N. M. Anoop Krishnan
(author) (
この著者で検索
)
Indian Institute of Technology Delhi Department of Civil Engineering
N. M. Anoop Krishnan
キーワード
Machine learning
,
AI-Driven Glass Design
刊行年月日
更新時刻
2025-09-25 16:30:42 +0900
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
ジャーナル論文
著者
Rintaro Minami
(author) (
この著者で検索
)
University of Tsukuba a Department of Applied Physics
Rintaro Minami
;
Eiji Kita
(author) (
この著者で検索
)
Eiji Kita
;
Chiharu Mitsumata
(author) (
この著者で検索
)
Chiharu Mitsumata
;
Hideto Yanagihara
(author) (
この著者で検索
)
Hideto Yanagihara
キーワード
Machine learning
,
principal component analysis (PCA)
,
reactive magnetron sputtering
,
plasma emission spectrum
,
Mössbauer spectroscopy
刊行年月日
2025-12-31
更新時刻
2025-09-10 16:30:38 +0900
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
ジャーナル論文
著者
Zhendong Wu
(author) (
この著者で検索
)
Zhendong Wu
;
Yusuke Hayashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5672-1497
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yusuke Hayashi
;
Tetsuya Tohei
(author) (
この著者で検索
)
Tetsuya Tohei
;
Kazushi Sumitani
(author) (
この著者で検索
)
Kazushi Sumitani
;
Yasuhiko Imai
(author) (
この著者で検索
)
Yasuhiko Imai
;
Shigeru Kimura
(author) (
この著者で検索
)
Shigeru Kimura
;
Akira Sakai
(author) (
この著者で検索
)
Akira Sakai
キーワード
GaN
,
SPring-8
,
nanoXRD
,
Machine learning
刊行年月日
2025-08-01
更新時刻
2025-07-31 12:30:18 +0900
Elemental Reactivity Maps for Materials Discovery
ジャーナル論文
著者
Yuki Inada
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
Yuki Inada
;
Masaya Fujioka
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
Masaya Fujioka
;
Haruhiko Morito
(author) (
この著者で検索
)
Haruhiko Morito
;
Tohru Sugahara
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
Tohru Sugahara
;
Hisanori Yamane
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
Hisanori Yamane
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
NIMS Researchers Directory SAMURAI
Yukari Katsura
キーワード
Crystal structure
,
Elements
,
Machine learning
,
Materials
,
Reactivity
刊行年月日
2025-03-25
更新時刻
2026-02-21 16:30:08 +0900
キーワード
Machine learning
(28)
Autonomous
(2)
Bayesian optimization
(2)
Ceramic
(2)
Crystal structure
(2)
Kesterite
(2)
Process
(2)
Thermoelectric
(2)
AI-Driven Glass Design
(1)
Alloys
(1)
Bayesian spectral deconvolution
(1)
Breath analysis
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Concentrated polymer brush
(1)
Creep
(1)
Critical temperature
(1)
Crystal forms
(1)
Crystal phenomena
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
Electron microscopy
(1)
Electronic nose (e-nose)
(1)
Elements
(1)
Embolic agent
(1)
Europium
(1)
FePt
(1)
FePt media
(1)
GaN
(1)
Gradient-based optimization
(1)
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(1)
Hard magnetic materials
(1)
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(1)
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(1)
High-throughput experiment
(1)
Hydrogel
(1)
Image segmentation
(1)
Ising machine
(1)
Laser powder bed fusion
(1)
Local structure
(1)
Lung cancer
(1)
MSS
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(1)
Magnetic recording
(1)
Magnetocaloric materials
(1)
Materials
(1)
Materials Informatics
(1)
Materials discovery
(1)
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(1)
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(1)
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(1)
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(1)
Nd-Fe-B magnets
(1)
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(1)
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(1)
Polypropylene
(1)
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(1)
Properties
(1)
Reactivity
(1)
SPring-8
(1)
SmFe12-based alloys
(1)
Statistical analysis
(1)
Structural Materials
(1)
Superconductor
(1)
Synthesis
(1)
User-friendly
(1)
X-ray diffraction
(1)
ab initio
(1)
data bias
(1)
large-scale material data
(1)
material informatics
(1)
nanoXRD
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
RDEメタデータ定義
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