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STAM Method Manuscript submit final.pdf
Intrinsic magnetic properties for SmFe 12−xTx thin films via high-throughput experiments and machine learning techniques
ジャーナル論文
著者
Daisuke Ogawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Ryotaro Akagi (author) (この著者で検索)
;
Keitaro Sodeyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yukiko K. Takahashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
SmFe12
刊行年月日
2025-12-31
更新時刻
2025-12-23 09:39:56 +0900
Wu_et_al-2019-npj_Computational_Materials.pdf
Predicting interfacial thermal resistance by machine learning
ジャーナル論文
著者
Yen-Ju Wu (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Lei Fang (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yibin Xu (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
interfacial thermal resistance, machine learning, thermal management
刊行年月日
2019-05-03
更新時刻
2024-01-05 22:13:21 +0900
基礎講座_MDR登録版.pdf
計測インフォマティクスと機械学習
ジャーナル論文
著者
石井真史 (author) (この著者で検索)
国立研究開発法人物質・材料研究機構 統合型材料開発・情報基盤部門
ORCID SAMURAI
キーワード
計測インフォマティクス, 機械学習, コンテキスト, 特徴量, クラスタリング, 分類, 照合
刊行年月日
更新時刻
2024-01-05 22:12:37 +0900
1.5018065.pdf
Structure prediction of boron-doped graphene by machine learning
ジャーナル論文
著者
Hou, Zhufeng (author) (この著者で検索)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Materials design, Monte Carlo tree search
刊行年月日
2018-06-28
更新時刻
2024-01-05 22:12:04 +0900
nanomaterials-3261714-Revision_T.pdf
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
ジャーナル論文
著者
Guohai Chen (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
machine learning, carbon nanotube, in situ TEM, growth mechanism
刊行年月日
2024-10-22
更新時刻
2024-12-24 13:58:23 +0900
PhysRevMaterials.7.093805.pdf
Quasicrystals predicted and discovered by machine learning
ジャーナル論文
著者
Chang Liu (author) (この著者で検索)
;
Koichi Kitahara (author) (この著者で検索)
;
Asuka Ishikawa (author) (この著者で検索)
;
Takanobu Hiroto (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Alok Singh (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Erina Fujita (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yukari Katsura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yuki Inada (author) (この著者で検索)
;
Ryuji Tamura (author) (この著者で検索)
;
Kaoru Kimura (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Ryo Yoshida (author) (この著者で検索)
ORCID
キーワード
Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
刊行年月日
2023-09-25
更新時刻
2024-11-21 16:36:03 +0900
Estimation the S-N Curve by Machine Learning Random Forest Method_Mater. Trans. 65(2024)428-433.pdf
Estimating the S-N Curve by Machine Learning Random Forest Method
ジャーナル論文
著者
Nobuo Nagashima (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masao Hayakawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Hiroyuki Masuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kotobu Nagai (author) (この著者で検索)
National Institute for Materials Science
キーワード
fatigue, high-cycle fatigue, data-sheet, machine learning, random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900
REPM2025_P2-3_Hosoi.pdf
Multi-objective optimization of magnet compositions by machine learning
会議発表ポスター
コレクション
The 28th International Workshop on Rare Earth and Future Permanent Magnets and Their Applications (REPM2025)
著者
Hyuga Hosoi (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Yamano Hayate (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Kinoshita Akihito (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Sakuma Noritsugu (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Umetani Yusuke (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Shoji Tetsuya (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Thomas Schrefl (author) (この著者で検索)
Donau University Krems, Austria
キーワード
REPM2025, NdFeB, Machine Learning, Multi–objective optimization, WAVEBASE
刊行年月日
更新時刻
2025-09-11 16:31:00 +0900
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique.pdf
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
ジャーナル論文
著者
Ryo Tamura (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 Algorithm Team
ORCID SAMURAI ;
Ryuichi Inaba (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Mami Watanabe (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Yutaro Mori (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Makoto Urushihara (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Kenji Yamaguchi (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team
ORCID SAMURAI
キーワード
electrodeposited copper film, surface roughness, machine learning
刊行年月日
2024-12-31
更新時刻
2024-10-31 16:30:15 +0900
2022Ivan_PhysRevMaterials.6.L091402.pdf
Machine learning study of highly spin-polarized Heusler alloys at finite temperature
ジャーナル論文
著者
Ivan Kurniawan (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yoshio Miura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kazuhiro Hono (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
spintronics, half-metal, Heusler alloy, machine learning, disordered local moment, Bayesian optimization
刊行年月日
2022-09-14
更新時刻
2024-01-05 22:14:00 +0900