24 件のレコードが見つかりました。
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
- ジャーナル論文
- 著者
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;Hirotaka Uryu (author) (この著者で検索);Tsunetomo Yamada (author) (この著者で検索);Koichi Kitahara (author) (この著者で検索)Alok Singh (author) (この著者で検索)National Institute for Materials Science
;
Yutaka Iwasaki (author) (この著者で検索)National Institute for Materials Science
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Kaoru Kimura (author) (この著者で検索)National Institute for Materials Science
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;Kanta Hiroki (author) (この著者で検索);Naoki Miyao (author) (この著者で検索);Asuka Ishikawa (author) (この著者で検索);Ryuji Tamura (author) (この著者で検索);Satoshi Ohhashi (author) (この著者で検索);Chang Liu (author) (この著者で検索)Ryo Yoshida (author) (この著者で検索) - キーワード
- deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
- 刊行年月日
- 2023-11-14
- 更新時刻
- 2024-12-13 12:30:39 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- ジャーナル論文
- 著者
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;Qianli Si (author) (この著者で検索)National Institute for Materials ScienceShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science
;
;Yasunobu Ando (author) (この著者で検索);Toshiyuki Momma (author) (この著者で検索)Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- キーワード
- lithium metal battery, machine learning
- 刊行年月日
- 2025-05-05
- 更新時刻
- 2025-09-09 12:30:20 +0900
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- ジャーナル論文
- 著者
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Seong-Hoon Jang (author) (この著者で検索)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
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Randy Jalem (author) (この著者で検索)National Institute for Materials Science
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Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- キーワード
- all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
- 刊行年月日
- 2024-08-05
- 更新時刻
- 2024-10-10 16:30:52 +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
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Yukinori Koyama (author) (この著者で検索)
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;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)
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Takayuki Nakanishi (author) (この著者で検索)
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Takashi Takeda (author) (この著者で検索)
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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
Networking autonomous material exploration systems through transfer learning
- ジャーナル論文
- 著者
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;Naoki Yoshida (author) (この著者で検索);Yutaro Iwabuchi (author) (この著者で検索);Yasuhiko Igarashi (author) (この著者で検索)Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
- キーワード
- machine learning
- 刊行年月日
- 2025-12-09
- 更新時刻
- 2025-12-13 08:30:26 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- ジャーナル論文
- 著者
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Guohai Chen (author) (この著者で検索)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (この著者で検索)
- キーワード
- machine learning, carbon nanotube, in situ TEM, growth mechanism
- 刊行年月日
- 2024-10-22
- 更新時刻
- 2024-12-24 13:58:23 +0900
Supercon 2 Dataset
- データセット
- 著者
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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
Self-Energy Spectroscopy and Artificial Neural Network
- ジャーナル論文
- 著者
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Youhei Yamaji (author) (この著者で検索)
- キーワード
- machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
- 刊行年月日
- 2025-03-15
- 更新時刻
- 2025-02-27 12:30:42 +0900
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
- ジャーナル論文
- 著者
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Hong Ming (author) (この著者で検索)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
;
;Yayun Zhou (author) (この著者で検索)Maxim S. Molokeev (author) (この著者で検索)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (この著者で検索);Lin Huang (author) (この著者で検索);Yuanjing Wang (author) (この著者で検索)Hong-Tao Sun (author) (この著者で検索)
;
Enhai Song (author) (この著者で検索)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (この著者で検索)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- キーワード
- luminescent materials, machine learning
- 刊行年月日
- 2024-05-06
- 更新時刻
- 2025-04-03 08:30:20 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- ジャーナル論文
- 著者
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Daisuke Ogawa (author) (この著者で検索)National Institute for Materials Science
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Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
;
Jun Uzuhashi (author) (この著者で検索)National Institute for Materials Science
;
Yuta Sasaki (author) (この著者で検索)National Institute for Materials Science
;
;Masato Kotsugi (author) (この著者で検索)Yukiko K. Takahashi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- 刊行年月日
- 2025-06-23
- 更新時刻
- 2025-07-11 08:30:48 +0900