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
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
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
- Journal article
- Creator
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;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
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
- Journal article
- Creator
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Lambard, Guillaume (author) (Search by this author)
;
Naito, Masanobu (author) (Search by this author)
;
Samitsu, Sadaki (author) (Search by this author)
;
Pruksawan, Sirawit (author) (Search by this author)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
;
Sodeyama, Keitaro (author) (Search by this author)
- Keyword
- active learning, Machine learning, adhesive
- Date published
- 2019-12-31
- Updated at
- 2024-01-05 22:11:50 +0900
Machine Learning Assisted Optimization of SmFe12-based Alloys
- Conference poster
- Creator
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BOLYACHKIN Anton (author) (Search by this author)International Center for Young Scientists, National Institute for Materials Science
;
SUBAGJA Toni (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
;LI Jiangnan (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science;ZHANG Jiasheng (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials ScienceASHOK KRISHNASWAMY Srinithi (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
ABE Taichi (author) (Search by this author)Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
;
TANG Xin (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
;TOZMAN KARANIKOLAS Pelin (author) (Search by this author)Global Networking Division/International Center for Young Scientists, National Institute for Materials ScienceKULESH Nikita (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
SEPEHRI AMIN Hossein (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
OHKUBO Tadakatsu (author) (Search by this author)Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
;
HONO Kazuhiro (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, Hard magnetic materials, SmFe12-based alloys
- Date published
- Updated at
- 2024-10-17 08:30:37 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
- Journal article
- Creator
-
Guohai Chen (author) (Search by this author)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (Search by this author)
- Keyword
- Carbon Nanotubes, Synthesis, Properties, Machine learning
- Date published
- 2025-10-20
- Updated at
- 2025-12-13 08:30:03 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- Journal article
- Creator
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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
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
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