キーワード: Machine learning
全ての絞り込みを解除

33 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。

全ての絞り込みを解除
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
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
s41524-025-01757-5 (2).pdf
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
刊行年月日
2025-09-03
更新時刻
2025-12-26 13:11:05 +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
manuscript.docx
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
ジャーナル論文
著者
E. Dengina (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
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
Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
刊行年月日
2022-05-13
更新時刻
2024-10-15 16:30:13 +0900
main.pdf
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
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
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
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
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
Prediction_and_optimization_of_epoxy_adhesive_strength_from_a_small_dataset_through_active_learning.pdf
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Pruksawan, Sirawit (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
active learning, Machine learning, adhesive
刊行年月日
2019-12-31
更新時刻
2024-01-05 22:11:50 +0900
絞り込み