5 件のレコードが見つかりました。
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
A Method for LLM-Based Construction of a Materials Property Knowledge Graph: A Case Study
- ジャーナル論文
- 著者
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Michiko Yoshitake (author) (この著者で検索)National Institute for Materials Science
;
Takahiro Nagata (author) (この著者で検索)National Institute for Materials Science
- キーワード
- materials property relationship, knowledge graph, graph search, data interpolation, generative AI
- 刊行年月日
- 2025-09-28
- 更新時刻
- 2025-11-04 12:30:07 +0900
Liquid electrolyte informatics using an exhaustive search with linear regression
- データセット
- 著者
-
SODEYAMA, Keitaro (author) (この著者で検索)National Institute for Materials Science
;
IGARASHI, Yasuhiko (author) (この著者で検索)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
;
NAKAYAMA, Tomofumi (author) (この著者で検索)
https://orcid.org/0000-0003-1240-3571
(unauthenticated)
;
TATEYAMA, Yoshitaka (author) (この著者で検索)National Institute for Materials Science
;
OKADA, Masato (author) (この著者で検索)
https://orcid.org/0000-0002-9040-8784
(unauthenticated)
- キーワード
- molecules, Li-ion battery, quantum chemistry calculations, materials informatics, Gaussian09, organic solvents
- 刊行年月日
- 2018-06-14
- 更新時刻
- 2024-02-08 17:54:30 +0900
Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
- データセット
- 著者
-
ISHIKAWA, Atsushi (author) (この著者で検索)
;
SODEYAMA, Keitaro (author) (この著者で検索)
;
IGARASHI, Yasuhiko (author) (この著者で検索)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
;
NAKAYAMA, Tomofumi (author) (この著者で検索)
https://orcid.org/0000-0003-1240-3571
(unauthenticated)
;
TATEYAMA, Yoshitaka (author) (この著者で検索)
;
OKADA, Masato (author) (この著者で検索)
https://orcid.org/0000-0002-9040-8784
(unauthenticated)
- キーワード
- quantum chemistry, electrolyte, battery
- 刊行年月日
- 2019-11-18
- 更新時刻
- 2024-01-05 22:13:39 +0900
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