キーワード: Machine learning
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6 件のレコードが見つかりました。 1件目から6件目まで表示します。

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Revised Manuscript-ActaMater_20240327.docx
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
プレゼンテーション
著者
Cédric Bourgès (author) (この著者で検索)
National Institute for Materials Science International Center for Young Scientists
ORCID ;
Guillaume Lambard (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
ORCID SAMURAI ;
Naoki Sato (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
ORCID SAMURAI ;
Makoto Tachibana (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
ORCID SAMURAI ;
Satoshi Ishii (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team
ORCID SAMURAI ;
Takao Mori (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
ORCID SAMURAI
キーワード
Kesterite, Machine learning, Process, Thermoelectric, Ceramic
刊行年月日
更新時刻
2024-10-30 16:30:23 +0900
DataSummary_Extrusion_Manuscript_20210728.xlsx
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
データセット
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
刊行年月日
2021-10-11
更新時刻
2022-10-03 02:01:08 +0900
d3dd00215b.pdf
Automated odor-blending with one-pot Bayesian optimization
ジャーナル論文
著者
Yota Fukui (author) (この著者で検索)
;
Kosuke Minami (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kota Shiba (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Genki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Tsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Machine learning, MSS, Bayesian optimization, Olfactory sensor
刊行年月日
2024-04-16
更新時刻
2024-06-10 12:30:19 +0900
Manuscript R1(clean).docx
Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array
ジャーナル論文
著者
Yusuke Saeki (author) (この著者で検索)
;
Naoki Maki (author) (この著者で検索)
;
Takahiro Nemoto (author) (この著者で検索)
National Institute for Materials Science
;
Katsushige Inada (author) (この著者で検索)
;
Kosuke Minami (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Gaku Imamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yukiko Cho-Isoda (author) (この著者で検索)
;
Shinsuke Kitazawa (author) (この著者で検索)
;
Hiroshi Kojima (author) (この著者で検索)
;
Genki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yukio Sato (author) (この著者で検索)
キーワード
Lung cancer, Breath analysis, Electronic nose (e-nose), Membrane-type Surface stress Sensor (MSS), Machine learning
刊行年月日
2024-02-25
更新時刻
2025-02-25 12:30:08 +0900
Fujii-DigitalDiscovery2025.pdf
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)
;
Anh Khoa Augustin Lu (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Shimizu (author) (この著者で検索)
;
Satoshi Watanabe (author) (この著者で検索)
National Institute for Materials Science
ORCID
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
main.pdf
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
刊行年月日
2026-04-23
更新時刻
2026-06-17 09:57:29 +0900
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