16 records found. Displaying records 1 to 10.
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
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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
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Terashima, Kensei (author) (Search by this author)
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Takano, Yoshihiko (author) (Search by this author)
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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 approach for the prediction of electron inelastic mean free paths
- Journal article
- Creator
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;Xun Liu (author) (Search by this author)National Institute for Materials Science;Lihao Yang (author) (Search by this author);Zhufeng Hou (author) (Search by this author)Bo Da (author) (Search by this author)National Institute for Materials Science
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Kenji Nagata (author) (Search by this author)National Institute for Materials Science
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Hideki Yoshikawa (author) (Search by this author)National Institute for Materials Science
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Shigeo Tanuma (author) (Search by this author)National Institute for Materials Science
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;Yang Sun (author) (Search by this author)Zejun Ding (author) (Search by this author)
- Keyword
- machine learning, inelastic mean free path
- Date published
- 2021-03-24
- Updated at
- 2024-01-05 22:13:49 +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
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;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
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
- Journal article
- Creator
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;Xun Liu (author) (Search by this author)National Institute for Materials Science;Zhufeng Hou (author) (Search by this author);Dabao Lu (author) (Search by this author)Bo Da (author) (Search by this author)National Institute for Materials Science
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Hideki Yoshikawa (author) (Search by this author)National Institute for Materials Science
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Shigeo Tanuma (author) (Search by this author)National Institute for Materials Science
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;Yang Sun (author) (Search by this author)Zejun Ding (author) (Search by this author)
- Keyword
- machine learning, inelastic mean free path, LASSO
- Date published
- 2019-12-31
- Updated at
- 2024-09-05 16:30:30 +0900
Self-Energy Spectroscopy and Artificial Neural Network
- Journal article
- Creator
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Youhei Yamaji (author) (Search by this author)
- Keyword
- machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
- Date published
- 2025-03-15
- Updated at
- 2025-02-27 12:30:42 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
- Journal article
- Creator
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;Hirotaka Uryu (author) (Search by this author);Tsunetomo Yamada (author) (Search by this author);Koichi Kitahara (author) (Search by this author)Alok Singh (author) (Search by this author)National Institute for Materials Science
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Yutaka Iwasaki (author) (Search by this author)National Institute for Materials Science
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Kaoru Kimura (author) (Search by this author)National Institute for Materials Science
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;Kanta Hiroki (author) (Search by this author);Naoki Miyao (author) (Search by this author);Asuka Ishikawa (author) (Search by this author);Ryuji Tamura (author) (Search by this author);Satoshi Ohhashi (author) (Search by this author);Chang Liu (author) (Search by this author)Ryo Yoshida (author) (Search by this author)
- Keyword
- deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
- Date published
- 2023-11-14
- Updated at
- 2024-12-13 12:30:39 +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)
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Yukako Kohriki (author) (Search by this author)
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Masamichi Harada (author) (Search by this author)
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Naoto Hirosaki (author) (Search by this author)
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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
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
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;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
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- Journal article
- Creator
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Daisuke Ogawa (author) (Search by this author)National Institute for Materials Science
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Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
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Jun Uzuhashi (author) (Search by this author)National Institute for Materials Science
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Yuta Sasaki (author) (Search by this author)National Institute for Materials Science
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;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
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)
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Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
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;Kenta Hongo (author) (Search by this author)Yibin Xu (author) (Search by this author)
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;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