An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
- Journal article
- Creator
-
Yukinori Koyama (author) (Search by this author)
;
;Ryusei Hayasaka (author) (Search by this author)Yuta Matsushima (author) (Search by this author)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
;
Takayuki Nakanishi (author) (Search by this author)
;
Takashi Takeda (author) (Search by this author)
;
Naoto Hirosaki (author) (Search by this author) - Keyword
- materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
- Date published
- 2026-12-31
- Updated at
- 2026-07-07 14:31:04 +0900
Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
- Dataset
- Creator
-
ISHIKAWA, Atsushi (author) (Search by this author)
;
SODEYAMA, Keitaro (author) (Search by this author)
;
IGARASHI, Yasuhiko (author) (Search by this author)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
;
NAKAYAMA, Tomofumi (author) (Search by this author)
https://orcid.org/0000-0003-1240-3571
(unauthenticated)
;
TATEYAMA, Yoshitaka (author) (Search by this author)
;
OKADA, Masato (author) (Search by this author)
https://orcid.org/0000-0002-9040-8784
(unauthenticated)
- Keyword
- quantum chemistry, electrolyte, battery
- Date published
- 2019-11-18
- Updated at
- 2024-01-05 22:13:39 +0900
Supercon 2 Dataset
- Dataset
- Creator
-
Foppiano, Luca (author) (Search by this author)
- Keyword
- superconductors, machine learning, dataset, tdm, materials science
- Date published
- 2022-09-10
- Updated at
- 2022-10-18 10:11:01 +0900