キーワード: Machine learning
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40 件のレコードが見つかりました。

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
Wu 2025 J Appl Crystallogr nanoXRD UMAP HVPE GaN.pdf
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
ジャーナル論文
著者
Zhendong Wu (author) (この著者で検索)
;
Yusuke Hayashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Tetsuya Tohei (author) (この著者で検索)
;
Kazushi Sumitani (author) (この著者で検索)
;
Yasuhiko Imai (author) (この著者で検索)
;
Shigeru Kimura (author) (この著者で検索)
;
Akira Sakai (author) (この著者で検索)
キーワード
GaN, SPring-8, nanoXRD, Machine learning
刊行年月日
2025-08-01
更新時刻
2025-07-31 12:30:18 +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
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis.pdf
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
ジャーナル論文
著者
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kenji Nagata (author) (この著者で検索)
;
Keitaro Sodeyama (author) (この著者で検索)
;
Kensaku Nakamura (author) (この著者で検索)
;
Toshiki Tokuhira (author) (この著者で検索)
;
Satoshi Shibata (author) (この著者で検索)
;
Kazuki Hammura (author) (この著者で検索)
;
Hiroki Sugisawa (author) (この著者で検索)
;
Masaya Kawamura (author) (この著者で検索)
;
Teruki Tsurimoto (author) (この著者で検索)
;
Masanobu Naito (author) (この著者で検索)
;
Masahiko Demura (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Takashi Nakanishi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
刊行年月日
2024-12-31
更新時刻
2024-08-30 16:31:01 +0900
Effects of data bias on machine-learning based material discovery using experimental property data.pdf
Effects of data bias on machine-learning–based material discovery using experimental property data
ジャーナル論文
著者
Masaya Kumagai (author) (この著者で検索)
;
Yuki Ando (author) (この著者で検索)
;
Atsumi Tanaka (author) (この著者で検索)
;
Koji Tsuda (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 ;
Ken Kurosaki (author) (この著者で検索)
ORCID
キーワード
Machine learning, material informatics, large-scale material data, data bias
刊行年月日
2022-12-31
更新時刻
2024-11-16 08:31:01 +0900
takahara-et-al-2024-toward-the-atomic-level-analysis-of-ground-state-electronic-structures-of-solid-materials-via.pdf
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
ジャーナル論文
著者
Izumi Takahara (author) (この著者で検索)
;
Fumihiko Uesugi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Kimoto (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kiyou Shibata (author) (この著者で検索)
;
Teruyasu Mizoguchi (author) (この著者で検索)
キーワード
Machine learning, ELNES, XANES, PDOS
刊行年月日
2024-08-15
更新時刻
2024-10-02 12:30:19 +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
1-s2.0-S2214860425001010-main.pdf
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
ジャーナル論文
著者
Han Chen (author) (この著者で検索)
;
Daisuke Egusa (author) (この著者で検索)
;
Zehao Li (author) (この著者で検索)
National Institute for Materials Science
;
Taisuke Sasaki (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Ryosuke Ozasa (author) (この著者で検索)
;
Takuya Ishimoto (author) (この著者で検索)
;
Masayuki Okugawa (author) (この著者で検索)
;
Yuichiro Koizumi (author) (この著者で検索)
;
Takayoshi Nakano (author) (この著者で検索)
;
Eiji Abe (author) (この著者で検索)
キーワード
High-entropy alloy, Laser powder bed fusion, Cellular structure, Phase separation, Dislocation-network, Electron microscopy, Machine learning
刊行年月日
2025-03-12
更新時刻
2025-04-08 13:16:16 +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
manuscript.docx
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
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/Magnetic Materials Analysis 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
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