キーワード: Machine learning
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28 件のレコードが見つかりました。

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
PhysRevMaterials.7.093805.pdf
Quasicrystals predicted and discovered by machine learning
ジャーナル論文
著者
Chang Liu (author) (この著者で検索)
;
Koichi Kitahara (author) (この著者で検索)
;
Asuka Ishikawa (author) (この著者で検索)
;
Takanobu Hiroto (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Alok Singh (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Erina Fujita (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yukari Katsura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yuki Inada (author) (この著者で検索)
;
Ryuji Tamura (author) (この著者で検索)
;
Kaoru Kimura (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Ryo Yoshida (author) (この著者で検索)
ORCID
キーワード
Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
刊行年月日
2023-09-25
更新時刻
2024-11-21 16:36:03 +0900
Editorial_Nanomaterials.pdf
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)
ORCID ; ORCID SAMURAI
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
manuscript.docx
Data-Driven Development of Magnetic Materials
プレゼンテーション
著者
BOLYACHKIN Anton (author) (この著者で検索)
National Institute for Materials Science Global Networking Division/International Center for Young Scientists
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
ORCID SAMURAI ;
OHKUBO Tadakatsu (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
ORCID SAMURAI
キーワード
Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
刊行年月日
更新時刻
2024-10-16 16:30:20 +0900
Manuscript.pdf
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
ジャーナル論文
著者
Akihiro Nishiguchi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Miho Ohta (author) (この著者で検索)
;
Debabrata Palai (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Shima Ito (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kensaku Mori (author) (この著者で検索)
;
Ryotaro Akagi (author) (この著者で検索)
;
Christophe Bajan (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Guillaume Lambard (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Keitaro Sodeyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Tetsushi Taguchi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Hydrogel, Embolic agent, Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +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
Prediction_and_optimization_of_epoxy_adhesive_strength_from_a_small_dataset_through_active_learning.pdf
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Pruksawan, Sirawit (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
active learning, Machine learning, adhesive
刊行年月日
2019-12-31
更新時刻
2024-01-05 22:11:50 +0900
Abstracts_Krishnan.pdf
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
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
s41524-025-01757-5 (2).pdf
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
刊行年月日
2025-09-03
更新時刻
2025-12-26 13:11:05 +0900
Manuscript_final.pdf
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)
ORCID ;
Masaya Fujioka (author) (この著者で検索)
ORCID ;
Haruhiko Morito (author) (この著者で検索)
;
Tohru Sugahara (author) (この著者で検索)
ORCID ;
Hisanori Yamane (author) (この著者で検索)
ORCID ; ORCID SAMURAI
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