26 records found. Displaying records 1 to 10.
Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array
- Journal article
- Creator
-
;Yusuke Saeki (author) (Search by this author);Naoki Maki (author) (Search by this author);Takahiro Nemoto (author) (Search by this author)National Institute for Materials Science;Katsushige Inada (author) (Search by this author)Kosuke Minami (author) (Search by this author)National Institute for Materials Science
;
Ryo Tamura (author) (Search by this author)National Institute for Materials Science
;
Gaku Imamura (author) (Search by this author)National Institute for Materials Science
;
;Yukiko Cho-Isoda (author) (Search by this author);Shinsuke Kitazawa (author) (Search by this author);Hiroshi Kojima (author) (Search by this author)Genki Yoshikawa (author) (Search by this author)National Institute for Materials Science
;
Yukio Sato (author) (Search by this author) - Keyword
- Lung cancer, Breath analysis, Electronic nose (e-nose), Membrane-type Surface stress Sensor (MSS), Machine learning
- Date published
- 2024-02-25
- Updated at
- 2025-02-25 12:30:08 +0900
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.
- Dataset
- Creator
-
Lambard, Guillaume (author) (Search by this author)
;
Sasaki, Taisuke (author) (Search by this author)
;
Sodeyama, Keitaro (author) (Search by this author)
;
Ohkubo, Tadakatsu (author) (Search by this author)
;
Hono, Kazuhiro (author) (Search by this author)
- Keyword
- Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
- Date published
- 2021-10-11
- Updated at
- 2022-10-03 02:01:08 +0900
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
- Journal article
- Creator
-
;Han Chen (author) (Search by this author);Daisuke Egusa (author) (Search by this author);Zehao Li (author) (Search by this author)National Institute for Materials ScienceTaisuke Sasaki (author) (Search by this author)National Institute for Materials Science
;
;Ryosuke Ozasa (author) (Search by this author);Takuya Ishimoto (author) (Search by this author);Masayuki Okugawa (author) (Search by this author);Yuichiro Koizumi (author) (Search by this author);Takayoshi Nakano (author) (Search by this author)Eiji Abe (author) (Search by this author)
- Keyword
- High-entropy alloy, Laser powder bed fusion, Cellular structure, Phase separation, Dislocation-network, Electron microscopy, Machine learning
- Date published
- 2025-03-12
- Updated at
- 2025-04-08 13:16:16 +0900
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- Journal article
- Creator
-
Ryo Toyama (author) (Search by this author)
;
Yuma Iwasaki (author) (Search by this author)
;
Prabhanjan D. Kulkarni (author) (Search by this author)
;
Hirofumi Suto (author) (Search by this author)
;
Tomoya Nakatani (author) (Search by this author)
;
Yuya Sakuraba (author) (Search by this author)
- Keyword
- Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
- Date published
- 2025-09-03
- Updated at
- 2025-12-26 13:11:05 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- Journal article
- Creator
-
N. Kulesh (author) (Search by this author)National Institute for Materials Science
;
A. Bolyachkin (author) (Search by this author)National Institute for Materials Science
;
I. Suzuki (author) (Search by this author)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
;
Y.K. Takahashi (author) (Search by this author)National Institute for Materials Science
;
H. Sepehri-Amin (author) (Search by this author)National Institute for Materials Science
;
K. Hono (author) (Search by this author)National Institute for Materials Science
- Keyword
- Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
- Date published
- 2023-05-27
- Updated at
- 2025-05-27 08:30:20 +0900
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- Journal article
- Creator
-
;Rintaro Minami (author) (Search by this author)a Department of Applied Physics, University of Tsukuba;Eiji Kita (author) (Search by this author);Chiharu Mitsumata (author) (Search by this author)Hideto Yanagihara (author) (Search by this author)
- Keyword
- Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
- Date published
- 2025-12-31
- Updated at
- 2025-09-10 16:30:38 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- Journal article
- Creator
-
Yuma Iwasaki (author) (Search by this author)
- Keyword
- Machine learning, Autonomous, Curie temperature, ab initio
- Date published
- 2024-12-31
- Updated at
- 2024-10-04 08:30:28 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
- Journal article
- Creator
-
;Sitanan Sartyoungkul (author) (Search by this author);Balasubramaniyan Sakthivel (author) (Search by this author)Pavel Sidorov (author) (Search by this author)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
;
Yuuya Nagata (author) (Search by this author)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
- Keyword
- Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
- Date published
- 2025-11-26
- Updated at
- 2025-12-24 15:05:55 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
- Journal article
- Creator
-
;Akihiro Fujii (author) (Search by this author)Anh Khoa Augustin Lu (author) (Search by this author)National Institute for Materials Science
;
;Koji Shimizu (author) (Search by this author)Satoshi Watanabe (author) (Search by this author)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
- Keyword
- Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
- Date published
- 2025-10-29
- Updated at
- 2026-05-18 14:53:14 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- Journal article
- Creator
-
Akihiro Nishiguchi (author) (Search by this author)National Institute for Materials Science
;
;Miho Ohta (author) (Search by this author)Debabrata Palai (author) (Search by this author)National Institute for Materials Science
;
Shima Ito (author) (Search by this author)National Institute for Materials Science
;
;Kensaku Mori (author) (Search by this author);Ryotaro Akagi (author) (Search by this author)Christophe Bajan (author) (Search by this author)National Institute for Materials Science
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
Keitaro Sodeyama (author) (Search by this author)National Institute for Materials Science
;
Tetsushi Taguchi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Hydrogel, Embolic agent, Machine learning
- Date published
- 2024-11-07
- Updated at
- 2025-02-26 16:30:29 +0900