Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- ジャーナル論文
- 著者
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N. Kulesh (author) (この著者で検索)National Institute for Materials Science
;
A. Bolyachkin (author) (この著者で検索)National Institute for Materials Science
;
I. Suzuki (author) (この著者で検索)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
;
Y.K. Takahashi (author) (この著者で検索)National Institute for Materials Science
;
H. Sepehri-Amin (author) (この著者で検索)National Institute for Materials Science
;
K. Hono (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
- 刊行年月日
- 2023-05-27
- 更新時刻
- 2025-05-27 08:30:20 +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.
- データセット
- 著者
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Lambard, Guillaume (author) (この著者で検索)
;
Sasaki, Taisuke (author) (この著者で検索)
;
Sodeyama, Keitaro (author) (この著者で検索)
;
Ohkubo, Tadakatsu (author) (この著者で検索)
;
Hono, Kazuhiro (author) (この著者で検索)
- 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
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- プレゼンテーション
- 著者
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Chiaki Yoshikawa (author) (この著者で検索)National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
;
Hiroshi Mamitsuka (author) (この著者で検索)
- キーワード
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- 刊行年月日
- 更新時刻
- 2025-11-06 12:30:42 +0900
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
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Akihiro Nishiguchi (author) (この著者で検索)National Institute for Materials Science
;
;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
;
Shima Ito (author) (この著者で検索)National Institute for Materials Science
;
;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
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science
;
Keitaro Sodeyama (author) (この著者で検索)National Institute for Materials Science
;
Tetsushi Taguchi (author) (この著者で検索)National Institute for Materials Science
- 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
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
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Ryo Toyama (author) (この著者で検索)
;
Yuma Iwasaki (author) (この著者で検索)
;
Prabhanjan D. Kulkarni (author) (この著者で検索)
;
Hirofumi Suto (author) (この著者で検索)
;
Tomoya Nakatani (author) (この著者で検索)
;
Yuya Sakuraba (author) (この著者で検索)
- 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
Data-Driven Development of Magnetic Materials
- プレゼンテーション
- 著者
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BOLYACHKIN Anton (author) (この著者で検索)National Institute for Materials Science Global Networking Division/International Center for Young Scientists
;
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
;
OHKUBO Tadakatsu (author) (この著者で検索)National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
- 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
From Random Networks to AI-Driven Glass Design
- プレゼンテーション
- 著者
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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
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- ジャーナル論文
- 著者
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Houichi Kitano (author) (この著者で検索)
;
Yuuji Kimura (author) (この著者で検索)
;
Akinobu Shibata (author) (この著者で検索)
- 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
Automated odor-blending with one-pot Bayesian optimization
- ジャーナル論文
- 著者
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;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
;
Kota Shiba (author) (この著者で検索)National Institute for Materials Science
;
Genki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Koji Tsuda (author) (この著者で検索)National Institute for Materials Science
;
Ryo Tamura (author) (この著者で検索)National Institute for Materials Science
- 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
Machine Learning-Based Experimental Design in Materials Science
- 書籍
- 著者
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Tsuda, Koji (author) (この著者で検索)
;
Dieb, Thaer M. (author) (この著者で検索)
- キーワード
- Materials design, Machine learning, Optimal experiment design
- 刊行年月日
- 2018-01-16
- 更新時刻
- 2022-10-03 01:58:06 +0900