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
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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
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Conference presentation
- Creator
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Chiaki Yoshikawa (author) (Search by this author)Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
;
Hiroshi Mamitsuka (author) (Search by this author)
- Keyword
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- Date published
- Updated at
- 2025-11-06 12:30:42 +0900
From Random Networks to AI-Driven Glass Design
- Conference presentation
- Creator
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N. M. Anoop Krishnan (author) (Search by this author)Department of Civil Engineering, Indian Institute of Technology Delhi
- Keyword
- Machine learning, AI-Driven Glass Design
- Date published
- Updated at
- 2025-09-25 16:30:42 +0900
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)
;
Yuuji Kimura (author) (Search by this author)
;
Akinobu Shibata (author) (Search by this author)
- Keyword
- Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
- Date published
- 2026-04-23
- Updated at
- 2026-06-17 09:57:29 +0900
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- Journal article
- Creator
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;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
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- Journal article
- Creator
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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
Automated odor-blending with one-pot Bayesian optimization
- Journal article
- Creator
-
;Yota Fukui (author) (Search by this author)Kosuke Minami (author) (Search by this author)National Institute for Materials Science
;
Kota Shiba (author) (Search by this author)National Institute for Materials Science
;
Genki Yoshikawa (author) (Search by this author)National Institute for Materials Science
;
Koji Tsuda (author) (Search by this author)National Institute for Materials Science
;
Ryo Tamura (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, MSS, Bayesian optimization, Olfactory sensor
- Date published
- 2024-04-16
- Updated at
- 2024-06-10 12:30:19 +0900
Exploring new useful phosphors by combining experiments with machine learning
- Journal article
- Creator
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Takashi Takeda (author) (Search by this author)
;
Yukinori Koyama (author) (Search by this author)
;
;Hidekazu Ikeno (author) (Search by this author)Satoru Matsuishi (author) (Search by this author)
;
Naoto Hirosaki (author) (Search by this author)
- Keyword
- Phosphor, High-throughput experiment, Machine learning, Local structure, Europium
- Date published
- 2024-12-31
- Updated at
- 2024-12-05 16:30:28 +0900
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
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