ファイル種別: application/pdf 資源タイプ: ジャーナル論文
全ての絞り込みを解除

2518 件のレコードが見つかりました。

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
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
1-s2.0-S2666389923002258-main.pdf
Revealing factors influencing polymer degradation with rank-based machine learning
ジャーナル論文
著者
Weilin Yuan (author) (この著者で検索)
;
Yusuke Hibi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masato Sumita (author) (この著者で検索)
;
Yasuyuki Nakamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Masanobu Naito (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Tsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
polymer degradation, rank-based machine learning, PoLyInfo
刊行年月日
2023-09-25
更新時刻
2024-01-05 22:12:08 +0900