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- In Copyright (12)
- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (2)
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35 records found.
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- Journal article
- Creator
-
Daisuke Ogawa (author) (Search by this author)National Institute for Materials Science
;
Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Jun Uzuhashi (author) (Search by this author)National Institute for Materials Science
;
Yuta Sasaki (author) (Search by this author)National Institute for Materials Science
;
;Masato Kotsugi (author) (Search by this author)Yukiko K. Takahashi (author) (Search by this author)National Institute for Materials Science
- Keyword
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- Date published
- 2025-06-23
- Updated at
- 2025-07-11 08:30:48 +0900
Automatic extraction of materials and properties from superconductors scientific literature
- Journal
- Creator
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Luca Foppiano (author) (Search by this author)MaDIS, NIMS
;
Pedro Baptista Castro (author) (Search by this author)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
MANA, NIMS
;
Pedro Ortiz Suarez (author) (Search by this author)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
Data and Web Science Group, University of Mannheim
;
Kensei Terashima (author) (Search by this author)
;
Yoshihiko Takano (author) (Search by this author)
;
Masashi Ishii (author) (Search by this author)
- Keyword
- Materials informatics, superconductors, machine learning, NLP, TDM
- Date published
- 2023-12-31
- Updated at
- 2024-01-05 22:12:53 +0900
Supercon 2 Dataset
- Dataset
- Creator
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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
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
- Journal article
- Creator
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Foppiano Luca (author) (Search by this author)MaDIS, NIMS
;
Baptista de Castro, Pedro (author) (Search by this author)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
MANA, NIMS
;
Ortiz Suarez, Pedro (author) (Search by this author)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
Data and Web Science Group, University of Mannheim
;
Terashima, Kensei (author) (Search by this author)
;
Takano, Yoshihiko (author) (Search by this author)
;
Ishii, Masashi (author) (Search by this author)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
MaDIS, NIMS
- Keyword
- tdm, machine learning, materials science, superconductors, database
- Date published
- 2022-09-15
- Updated at
- 2022-10-16 01:44:51 +0900
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
- Journal article
- Creator
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;Stephen Wu (author) (Search by this author);Yukiko Kondo (author) (Search by this author);Masa-aki Kakimoto (author) (Search by this author);Bin Yang (author) (Search by this author);Hironao Yamada (author) (Search by this author)Isao Kuwajima (author) (Search by this author)
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
;Kenta Hongo (author) (Search by this author)Yibin Xu (author) (Search by this author)
;
;Junichiro Shiomi (author) (Search by this author);Christoph Schick (author) (Search by this author);Junko Morikawa (author) (Search by this author)Ryo Yoshida (author) (Search by this author)
- Keyword
- machine learning, polymer, thermal conductivity, molecular design
- Date published
- 2019-06-21
- Updated at
- 2024-11-21 16:31:23 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
;
;Hidekazu Ikeno (author) (Search by this author)Osaka Metropolitan University;Masamichi Harada (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science;Shiro Funahashi (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials ScienceTakashi Takeda (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science
;
Naoto Hirosaki (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science
- Keyword
- phosphor, materials design, machine learning, luminescence, emission spectrum, Eu2+
- Date published
- 2022-11-29
- Updated at
- 2024-01-05 22:11:23 +0900
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
- Journal article
- Creator
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Paripat Kraisornkachit (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Chao Kang (author) (Search by this author)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
;
Chiaki Sato (author) (Search by this author)
- Keyword
- experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
- Date published
- 2024-06-12
- Updated at
- 2025-01-07 08:30:26 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- Journal article
- Creator
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;Qianli Si (author) (Search by this author)National Institute for Materials ScienceShoichi Matsuda (author) (Search by this author)National Institute for Materials Science
;
;Yasunobu Ando (author) (Search by this author);Toshiyuki Momma (author) (Search by this author)Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- lithium metal battery, machine learning
- Date published
- 2025-05-05
- Updated at
- 2025-09-09 12:30:20 +0900
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- Journal article
- Creator
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Seong-Hoon Jang (author) (Search by this author)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
;
Randy Jalem (author) (Search by this author)National Institute for Materials Science
;
Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
- Date published
- 2024-08-05
- Updated at
- 2024-10-10 16:30:52 +0900
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)
;
Yukako Kohriki (author) (Search by this author)
;
Masamichi Harada (author) (Search by this author)
;
Naoto Hirosaki (author) (Search by this author)
;
Takashi Takeda (author) (Search by this author)
- Keyword
- phosphor, machine learning, europium, oxidation state
- Date published
- 2024-12-10
- Updated at
- 2025-11-25 08:30:03 +0900