資源タイプ: ジャーナル論文 キーワード: Machine learning

21 件のレコードが見つかりました。

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)
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)
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)
ORCID SAMURAI ;
Guillaume Lambard (author) (この著者で検索)
ORCID SAMURAI ;
Keitaro Sodeyama (author) (この著者で検索)
ORCID SAMURAI ;
Tetsushi Taguchi (author) (この著者で検索)
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)
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

lin-et-al-2025-determination-of-stable-proton-configurations-by-black-box-optimization-using-an-ising-machine.pdf
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
ジャーナル論文
著者
Jianbo Lin (author) (この著者で検索)
;
Tomofumi Tada (author) (この著者で検索)
ORCID ;
Ai Koizumi (author) (この著者で検索)
;
Masato Sumita (author) (この著者で検索)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Machine learning, Ising machine, Proton configuration
刊行年月日
2025-02-06
更新時刻
2025-05-23 08:30:18 +0900

Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion.pdf
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
ジャーナル論文
著者
Naoki Yamane (author) (この著者で検索)
Tsukuba University
;
Kan Hatakeyama-Sato (author) (この著者で検索)
東京工業大学
;
Yuma Iwasaki (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 ;
Yasuhiko Igarashi (author) (この著者で検索)
Tsukuba University
キーワード
Machine learning
刊行年月日
2024-12-31
更新時刻
2024-11-14 16:30:30 +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

Improving efficiency of autonomous material search via transfer learning from nontarget properties (2).pdf
Improving efficiency of autonomous material search via transfer learning from nontarget properties
ジャーナル論文
著者
Jaekyun Hwang (author) (この著者で検索)
National Institute for Materials Science
;
Yuma Iwasaki (author) (この著者で検索)
ORCID SAMURAI
キーワード
Machine learning
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:11:31 +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)
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
ORCID SAMURAI ;
Gaku Imamura (author) (この著者で検索)
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)
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

takahara-et-al-2024-toward-the-atomic-level-analysis-of-ground-state-electronic-structures-of-solid-materials-via.pdf
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
ジャーナル論文
著者
Izumi Takahara (author) (この著者で検索)
;
Fumihiko Uesugi (author) (この著者で検索)
ORCID SAMURAI ;
Koji Kimoto (author) (この著者で検索)
ORCID SAMURAI ;
Kiyou Shibata (author) (この著者で検索)
;
Teruyasu Mizoguchi (author) (この著者で検索)
キーワード
Machine learning, ELNES, XANES, PDOS
刊行年月日
2024-08-15
更新時刻
2024-10-02 12:30:19 +0900

manuscript.docx
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
ジャーナル論文
著者
E. Dengina (author) (この著者で検索)
National Institute for Materials Science
;
A. Bolyachkin (author) (この著者で検索)
ORCID SAMURAI ;
H. Sepehri-Amin (author) (この著者で検索)
ORCID SAMURAI ;
K. Hono (author) (この著者で検索)
ORCID SAMURAI
キーワード
Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
刊行年月日
2022-05-13
更新時刻
2024-10-15 16:30:13 +0900

D5DD00437C.pdf
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
ジャーナル論文
著者
Sitanan Sartyoungkul (author) (この著者で検索)
;
Balasubramaniyan Sakthivel (author) (この著者で検索)
;
Pavel Sidorov (author) (この著者で検索)
ORCID ;
Yuuya Nagata (author) (この著者で検索)
ORCID
キーワード
Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
刊行年月日
2025-11-26
更新時刻
2025-12-24 15:05:55 +0900