キーワード: Machine learning
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13 件のレコードが見つかりました。 1件目から10件目まで表示します。

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abstract.docx
Machine Learning Assisted Optimization of SmFe12-based Alloys
会議発表ポスター
著者
BOLYACHKIN Anton (author) (この著者で検索)
National Institute for Materials Science International Center for Young Scientists
ORCID SAMURAI ;
SUBAGJA Toni (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ORCID SAMURAI ;
LI Jiangnan (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
;
ZHANG Jiasheng (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
;
ASHOK KRISHNASWAMY Srinithi (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ORCID ;
ABE Taichi (author) (この著者で検索)
National Institute for Materials Science Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group
ORCID SAMURAI ;
TANG Xin (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ORCID SAMURAI ;
TOZMAN KARANIKOLAS Pelin (author) (この著者で検索)
National Institute for Materials Science Global Networking Division/International Center for Young Scientists
;
KULESH Nikita (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group
ORCID SAMURAI ;
OHKUBO Tadakatsu (author) (この著者で検索)
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
ORCID SAMURAI ;
HONO Kazuhiro (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Machine learning, Hard magnetic materials, SmFe12-based alloys
刊行年月日
更新時刻
2024-10-17 08:30:37 +0900
D5DD00437C.pdf
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
ジャーナル論文
著者
Sitanan Sartyoungkul (author) (この著者で検索)
;
Balasubramaniyan Sakthivel (author) (この著者で検索)
;
Pavel Sidorov (author) (この著者で検索)
ORCID ;
Yuuya Nagata (author) (この著者で検索)
ORCID
キーワード
Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
刊行年月日
2025-11-26
更新時刻
2025-12-24 15:05:55 +0900
Manuscript.pdf
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
ORCID SAMURAI ;
A. Bolyachkin (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
I. Suzuki (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Y.K. Takahashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
H. Sepehri-Amin (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
K. Hono (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
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
DataSummary_Extrusion_Manuscript_20210728.xlsx
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.
データセット
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
刊行年月日
2021-10-11
更新時刻
2022-10-03 02:01:08 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning (1).pdf
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
ジャーナル論文
著者
ORCID SAMURAI
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
原稿_ver3_Nohighlighted.doc
自律材料探索による磁性材料開発
ジャーナル論文
著者
岩崎 悠真 (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Machine learning, Materials Informatics
刊行年月日
2025-06-10
更新時刻
2025-12-12 08:30:25 +0900
Autonomous search for half-metallic materials with B2 structure.pdf
Autonomous search for half-metallic materials with B 2 structure
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ;
Takahiro Yamazaki (author) (この著者で検索)
ORCID ;
Yasuhiko Igarashi (author) (この著者で検索)
ORCID ;
Masato Kotsugi (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
Machine learning, Autonomous, ab initio, Half metal
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:32 +0900
Improving efficiency of autonomous material search via transfer learning from nontarget properties (2).pdf
Improving efficiency of autonomous material search via transfer learning from nontarget properties
ジャーナル論文
著者
Jaekyun Hwang (author) (この著者で検索)
National Institute for Materials Science
;
Yuma Iwasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Machine learning
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:11:31 +0900
d3dd00215b.pdf
Automated odor-blending with one-pot Bayesian optimization
ジャーナル論文
著者
Yota Fukui (author) (この著者で検索)
;
Kosuke Minami (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kota Shiba (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Genki Yoshikawa (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 ;
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Machine learning, MSS, Bayesian optimization, Olfactory sensor
刊行年月日
2024-04-16
更新時刻
2024-06-10 12:30:19 +0900
Revised Manuscript-ActaMater_20240327.docx
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
ORCID ;
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
ORCID SAMURAI ;
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
ORCID SAMURAI ;
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
ORCID SAMURAI ;
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
ORCID SAMURAI ;
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
ORCID SAMURAI
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
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