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
-
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
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- ジャーナル論文
- 著者
-
Yuma Iwasaki (author) (この著者で検索)
- キーワード
- Machine learning, Autonomous, Curie temperature, ab initio
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-10-04 08:30:28 +0900
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
- ジャーナル論文
- 著者
-
;Jianbo Lin (author) (この著者で検索)Tomofumi Tada (author) (この著者で検索)
https://orcid.org/0000-0003-3093-3779
(unauthenticated)
;
;Ai Koizumi (author) (この著者で検索)Masato Sumita (author) (この著者で検索)
https://orcid.org/0000-0002-3506-1028
(unauthenticated)
;
Koji Tsuda (author) (この著者で検索)
;
Ryo Tamura (author) (この著者で検索)
- キーワード
- Machine learning, Ising machine, Proton configuration
- 刊行年月日
- 2025-02-06
- 更新時刻
- 2025-05-23 08:30:18 +0900
Data-Driven Development of Magnetic Materials
- プレゼンテーション
- 著者
-
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
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
- プレゼンテーション
- 著者
-
Cédric Bourgès (author) (この著者で検索)National Institute for Materials Science International Center for Young Scientists
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
;
Naoki Sato (author) (この著者で検索)National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
;
Makoto Tachibana (author) (この著者で検索)National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
;
Satoshi Ishii (author) (この著者で検索)National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team
;
Takao Mori (author) (この著者で検索)National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group
- キーワード
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- 刊行年月日
- 更新時刻
- 2024-10-30 16:30:23 +0900
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- ジャーナル論文
- 著者
-
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