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
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
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