An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
- ジャーナル論文
- 著者
-
Yukinori Koyama (author) (この著者で検索)
;
;Ryusei Hayasaka (author) (この著者で検索)Yuta Matsushima (author) (この著者で検索)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
;
Takayuki Nakanishi (author) (この著者で検索)
;
Takashi Takeda (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索) - キーワード
- materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
- 刊行年月日
- 2026-12-31
- 更新時刻
- 2026-07-07 14:31:04 +0900
Supercon 2 Dataset
- データセット
- 著者
-
Foppiano, Luca (author) (この著者で検索)
- キーワード
- superconductors, machine learning, dataset, tdm, materials science
- 刊行年月日
- 2022-09-10
- 更新時刻
- 2022-10-18 10:11:01 +0900
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
- ジャーナル論文
- 著者
-
Yukinori Koyama (author) (この著者で検索)
;
Yukako Kohriki (author) (この著者で検索)
;
Masamichi Harada (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索)
;
Takashi Takeda (author) (この著者で検索)
- キーワード
- phosphor, machine learning, europium, oxidation state
- 刊行年月日
- 2024-12-10
- 更新時刻
- 2025-11-25 08:30:03 +0900