Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- ジャーナル論文
- 著者
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Daisuke Ogawa (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
;
Jun Uzuhashi (author) (この著者で検索)National Institute for Materials Science
;
Yuta Sasaki (author) (この著者で検索)National Institute for Materials Science
;
;Masato Kotsugi (author) (この著者で検索)Yukiko K. Takahashi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- 刊行年月日
- 2025-06-23
- 更新時刻
- 2025-07-11 08:30:48 +0900
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
- ジャーナル論文
- 著者
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;Hiroyuki Tanaka (author) (この著者で検索)Nagoya University a Graduate School of Engineering;Kentaro Kutsukake (author) (この著者で検索);Kota Asakura (author) (この著者で検索);Takuto Kojima (author) (この著者で検索);Xin Liu (author) (この著者で検索)Noritaka Usami (author) (この著者で検索)
- キーワード
- Optimization, machine learning, genetic algorithm, crystal growth, process informatics
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2026-02-27 12:30:07 +0900
Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes
- ジャーナル論文
- 著者
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Yen-Ju Wu (author) (この著者で検索)National Institute for Materials Science
;
;Takehiro Tanaka (author) (この著者で検索);Tomoyuki Komori (author) (この著者で検索);Mikiya Fujii (author) (この著者で検索);Hiroshi Mizuno (author) (この著者で検索)Satoshi Itoh (author) (この著者で検索)
https://orcid.org/0000-0002-8139-582X
(unauthenticated)
National Institute for Materials Science
;
;Tadanobu Takada (author) (この著者で検索)Erina Fujita (author) (この著者で検索)National Institute for Materials Science
;
Yibin Xu (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Ionic conductivity, machine learning, grain boundary, ionic conductor, Li battery, grain size, descriptor
- 刊行年月日
- 2020-01-31
- 更新時刻
- 2024-01-05 22:11:22 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- ジャーナル論文
- 著者
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;Qianli Si (author) (この著者で検索)National Institute for Materials ScienceShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science
;
;Yasunobu Ando (author) (この著者で検索);Toshiyuki Momma (author) (この著者で検索)Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- キーワード
- lithium metal battery, machine learning
- 刊行年月日
- 2025-05-05
- 更新時刻
- 2025-09-09 12:30:20 +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
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
- ジャーナル論文
- 著者
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Houichi Kitano (author) (この著者で検索)National Institute for Materials Science
;
Masaki Kobayashi (author) (この著者で検索)National Institute for Materials Science
;
Masahiko Demura (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
- 刊行年月日
- 2026-12-31
- 更新時刻
- 2026-06-25 09:51:40 +0900
Structure Prediction from Chemical Formula Using Periodic Descriptors
- プレゼンテーション
- 著者
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Yen-Ju Wu (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 Inorganic Materials Group
;
Yibin Xu (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 Inorganic Materials Group
- キーワード
- periodic descriptor, structure prediction, machine learning, template substitution
- 刊行年月日
- 更新時刻
- 2025-09-13 08:30:19 +0900
Revolutionizing electronics with advanced interfacial heat management
- 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
- キーワード
- Interfacial thermal resistance, thermal management, electronics, machine learning
- 刊行年月日
- 2024-07-17
- 更新時刻
- 2024-08-27 16:30:21 +0900
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
- ジャーナル論文
- 著者
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;Xun Liu (author) (この著者で検索)National Institute for Materials Science;Zhufeng Hou (author) (この著者で検索);Dabao Lu (author) (この著者で検索)Bo Da (author) (この著者で検索)National Institute for Materials Science
;
Hideki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Shigeo Tanuma (author) (この著者で検索)National Institute for Materials Science
;
;Yang Sun (author) (この著者で検索)Zejun Ding (author) (この著者で検索)
- キーワード
- machine learning, inelastic mean free path, LASSO
- 刊行年月日
- 2019-12-31
- 更新時刻
- 2024-09-05 16:30:30 +0900
Alloys innovation through machine learning: a statistical literature review
- ジャーナル論文
- 著者
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;Alireza Valizadeh (author) (この著者で検索)Ryoji Sahara (author) (この著者で検索)National Institute for Materials Science
;
Maaouia Souissi (author) (この著者で検索)
- キーワード
- Alloy development, machine learning, data-driven research, materials informatics, Materials Genome Initiative, Materials databases
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-06-25 12:30:16 +0900