34 records found. Displaying records 1 to 10.
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
- Journal article
- Creator
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;Izumi Takahara (author) (Search by this author)Fumihiko Uesugi (author) (Search by this author)National Institute for Materials Science
;
Koji Kimoto (author) (Search by this author)National Institute for Materials Science
;
;Kiyou Shibata (author) (Search by this author)Teruyasu Mizoguchi (author) (Search by this author) - Keyword
- Machine learning, ELNES, XANES, PDOS
- Date published
- 2024-08-15
- Updated at
- 2024-10-02 12:30:19 +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
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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
Improving efficiency of autonomous material search via transfer learning from nontarget properties
- Journal article
- Creator
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;Jaekyun Hwang (author) (Search by this author)National Institute for Materials ScienceYuma Iwasaki (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning
- Date published
- 2023-12-31
- Updated at
- 2024-01-05 22:11:31 +0900
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
- Journal article
- Creator
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;E. Dengina (author) (Search by this author)National Institute for Materials ScienceA. Bolyachkin (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
- Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
- Date published
- 2022-05-13
- Updated at
- 2024-10-15 16:30:13 +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
Statistical evaluation of phase fractions in a MoSiBTiC alloy by machine-learning-assisted segmentation of scanning electron microscopy images
- Journal article
- Creator
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;Chihana Kudo (author) (Search by this author)Masahiko Demura (author) (Search by this author)National Institute for Materials Science
;
Akihiro Endo (author) (Search by this author)National Institute for Materials Science
;
Kenji Nagata (author) (Search by this author)National Institute for Materials Science
;
Kyosuke Yoshimi (author) (Search by this author)
- Keyword
- MoSiBTiC alloy, Scanning electron microscopy, Image segmentation, Machine learning, Bootstrap resampling, Fracture toughness
- Date published
- 2026-07-30
- Updated at
- 2026-09-16 10:47:16 +0900
Process optimization on kesterite-based ceramics for enhancing their thermoelectric performances assisted by active machine learning approach: A tool for metal-sulfide ceramics development
- Journal article
- Creator
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Cédric Bourgès (author) (Search by this author)National Institute for Materials Science
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
Naoki Sato (author) (Search by this author)National Institute for Materials Science
;
Makoto Tachibana (author) (Search by this author)National Institute for Materials Science
;
Satoshi Ishii (author) (Search by this author)National Institute for Materials Science
;
Takao Mori (author) (Search by this author)National Institute for Materials Science
- Keyword
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- Date published
- 2024-08-29
- Updated at
- 2024-09-20 16:30:30 +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
Autonomous search for half-metallic materials with B 2 structure
- Journal article
- Creator
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Yuma Iwasaki (author) (Search by this author)
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Ryo Toyama (author) (Search by this author)
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Takahiro Yamazaki (author) (Search by this author)
https://orcid.org/0000-0003-0738-9373
(unauthenticated)
;
Yasuhiko Igarashi (author) (Search by this author)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
;
Masato Kotsugi (author) (Search by this author)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
;
Yuya Sakuraba (author) (Search by this author)
- Keyword
- Machine learning, Autonomous, ab initio, Half metal
- Date published
- 2024-12-31
- Updated at
- 2024-10-04 08:30:32 +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