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- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (4)
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49 件のレコードが見つかりました。
Estimating the S-N Curve by Machine Learning Random Forest Method
- ジャーナル論文
- 著者
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Nobuo Nagashima (author) (この著者で検索)National Institute for Materials Science
;
Masao Hayakawa (author) (この著者で検索)National Institute for Materials Science
;
Hiroyuki Masuda (author) (この著者で検索)National Institute for Materials Science
;
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
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
- ジャーナル論文
- 著者
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;Masaki Imamura (author) (この著者で検索)Saga University Synchrotron Light Application CenterKazutoshi Takahashi (author) (この著者で検索)
- キーワード
- Photoemission spectroscopy, non-negative matrix factorization, graphene, machine learning, data-driven analysis
- 刊行年月日
- 2026-06-19
- 更新時刻
- 2026-06-24 15:38:41 +0900
Analysis of the effect of the Fermi surface matching at Co–Fe and Cu interface on giant magnetoresistance effect using a combinatorial technique
- ジャーナル論文
- 著者
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Varun Kumar Kushwaha (author) (この著者で検索)
https://orcid.org/0000-0001-6344-4264
(unauthenticated)
National Institute for Materials Science
;
Ryo Toyama (author) (この著者で検索)National Institute for Materials Science
;
Yoshio Miura (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
;
Yuya Sakuraba (author) (この著者で検索)National Institute for Materials Science
- キーワード
- spintronics, giant magnetoresistance, machine learning, Fermi surface, interfacial electronic band matching
- 刊行年月日
- 2024-12-01
- 更新時刻
- 2025-01-07 16:30:50 +0900
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
- ジャーナル論文
- 著者
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Hayato Maeda (author) (この著者で検索)
https://orcid.org/0009-0004-1662-8000
(unauthenticated)
;
Stephen Wu (author) (この著者で検索)
https://orcid.org/0000-0002-7847-8106
(unauthenticated)
;
Rika Marui (author) (この著者で検索)
https://orcid.org/0009-0009-2506-1196
(unauthenticated)
;
;Erina Yoshida (author) (この著者で検索);Kan Hatakeyama-Sato (author) (この著者で検索);Yuta Nabae (author) (この著者で検索);Shiori Nakagawa (author) (この著者で検索);Meguya Ryu (author) (この著者で検索);Ryohei Ishige (author) (この著者で検索);Yoh Noguchi (author) (この著者で検索)Yoshihiro Hayashi (author) (この著者で検索)
https://orcid.org/0000-0002-7650-4083
(unauthenticated)
;
Masashi Ishii (author) (この著者で検索)
;
Isao Kuwajima (author) (この著者で検索)
;
;Felix Jiang (author) (この著者で検索);Xuan Thang Vu (author) (この著者で検索)Sven Ingebrandt (author) (この著者で検索)
https://orcid.org/0000-0002-0405-2727
(unauthenticated)
;
;Masatoshi Tokita (author) (この著者で検索)Junko Morikawa (author) (この著者で検索)
https://orcid.org/0000-0002-9530-9478
(unauthenticated)
;
Ryo Yoshida (author) (この著者で検索)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
;
Teruaki Hayakawa (author) (この著者で検索)
- キーワード
- liquid crystalline polymer, thermal conductivity, machine learning, PoLyInfo
- 刊行年月日
- 2025-07-02
- 更新時刻
- 2025-08-19 12:30:21 +0900
Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials
- ジャーナル論文
- 著者
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;Alex Kutana (author) (この著者で検索)Nagoya University;Koki Yoshimochi (author) (この著者で検索)Ryoji Asahi (author) (この著者で検索)
- キーワード
- Graph neural network, machine learning, dielectrics, perovskite oxides, phase transitions
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2025-07-18 10:24:15 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
- ジャーナル論文
- 著者
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;Hirotaka Uryu (author) (この著者で検索);Tsunetomo Yamada (author) (この著者で検索);Koichi Kitahara (author) (この著者で検索)Alok Singh (author) (この著者で検索)National Institute for Materials Science
;
Yutaka Iwasaki (author) (この著者で検索)National Institute for Materials Science
;
Kaoru Kimura (author) (この著者で検索)National Institute for Materials Science
;
;Kanta Hiroki (author) (この著者で検索);Naoki Miyao (author) (この著者で検索);Asuka Ishikawa (author) (この著者で検索);Ryuji Tamura (author) (この著者で検索);Satoshi Ohhashi (author) (この著者で検索);Chang Liu (author) (この著者で検索)Ryo Yoshida (author) (この著者で検索)
- キーワード
- deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
- 刊行年月日
- 2023-11-14
- 更新時刻
- 2024-12-13 12:30:39 +0900
Bayesian diversity control for batch-based phase diagram determination
- ジャーナル論文
- 著者
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;Peiheng Zou (author) (この著者で検索)Ryo Tamura (author) (この著者で検索)
;
Koji Tsuda (author) (この著者で検索)
- キーワード
- phase diagram, machine learning
- 刊行年月日
- 2026-02-16
- 更新時刻
- 2026-04-01 14:33:21 +0900
多次元X線計測と情報科学
- ジャーナル論文
- 著者
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永村 直佳 (author) (この著者で検索)物質・材料研究機構 マテリアル基盤研究センター/先端解析分野/光電子分光グループ
- キーワード
- multi-dimensional, X-ray spectroscopy, data-driven science, machine learning, sparce modeling
- 刊行年月日
- [2025年8月]
- 更新時刻
- 2026-01-20 10:11:08 +0900
Automatic Threshold Prediction of Photoelectron Yield Spectroscopy (PYS) by Machine Learning
- ジャーナル論文
- 著者
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YAGYU, Shinjiro (author) (この著者で検索)
;
;YOSHITAKE, Michiko (author) (この著者で検索)CHIKYOW, Toyohiro (author) (この著者で検索)
;
NAGATA, Takahiro (author) (この著者で検索)
- キーワード
- threshold, machine learning, photoelectron yield spectroscopy
- 刊行年月日
- 2020-06-10
- 更新時刻
- 2024-01-05 22:12:44 +0900