28 records found. Displaying records 1 to 10.
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Journal article
- Creator
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Chiaki Yoshikawa (author) (Search by this author)National Institute for Materials Science
;
;Duc Anh Nguyen (author) (Search by this author);Tadashi Nakaji-Hirabayashi (author) (Search by this author);Ichigaku Takigawa (author) (Search by this author)Hiroshi Mamitsuka (author) (Search by this author) - Keyword
- cellulose nanofiber, concentrated polymer brush, hMSC, self-assembly, machine learning
- Date published
- 2024-04-08
- Updated at
- 2024-08-27 08:30:31 +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
;
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
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
- Journal article
- Creator
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Ryo Tamura (author) (Search by this author)Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team, National Institute for Materials Science
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;Ryuichi Inaba (author) (Search by this author)MITSUBISHI MATERIALS CORPORATION;Mami Watanabe (author) (Search by this author)MITSUBISHI MATERIALS CORPORATION;Yutaro Mori (author) (Search by this author)MITSUBISHI MATERIALS CORPORATION;Makoto Urushihara (author) (Search by this author)MITSUBISHI MATERIALS CORPORATION;Kenji Yamaguchi (author) (Search by this author)MITSUBISHI MATERIALS CORPORATIONShoichi Matsuda (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team, National Institute for Materials Science
- Keyword
- electrodeposited copper film, surface roughness, machine learning
- Date published
- 2024-12-31
- Updated at
- 2024-10-31 16:30:15 +0900
Theoretical investigation of oxidation mechanism in Ti and its alloys
- Conference paper
- Creator
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Ryoji Sahara (author) (Search by this author)Research Center for Structural Materials/Materials Evaluation Field/Computational Structural Materials Group, National Institute for Materials Science
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;Somesh Kr. Bhattacharya (author) (Search by this author)Research Center for Structural Materials/Design and Producing Field/Computational Structural Materials Group, National Institute for Materials Science;Kanika Kohli (author) (Search by this author)Indian Institute of Science Education and Research Pune;Prasenjit Ghosh (author) (Search by this author)Indian Institute of Science Education and Research Pune;Kyosuke Ueda (author) (Search by this author)Tohoku Univ.Takayuki Narushima (author) (Search by this author)Tohoku Univ.
- Keyword
- high temperature oxidation, parabolic rate constant, first principles calculations, machine learning, electronegativity
- Date published
- Updated at
- 2024-10-18 16:30:37 +0900
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
- Journal article
- Creator
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Hayato Maeda (author) (Search by this author)
https://orcid.org/0009-0004-1662-8000
(unauthenticated)
;
Stephen Wu (author) (Search by this author)
https://orcid.org/0000-0002-7847-8106
(unauthenticated)
;
Rika Marui (author) (Search by this author)
https://orcid.org/0009-0009-2506-1196
(unauthenticated)
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;Erina Yoshida (author) (Search by this author);Kan Hatakeyama-Sato (author) (Search by this author);Yuta Nabae (author) (Search by this author);Shiori Nakagawa (author) (Search by this author);Meguya Ryu (author) (Search by this author);Ryohei Ishige (author) (Search by this author);Yoh Noguchi (author) (Search by this author)Yoshihiro Hayashi (author) (Search by this author)
https://orcid.org/0000-0002-7650-4083
(unauthenticated)
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Masashi Ishii (author) (Search by this author)
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Isao Kuwajima (author) (Search by this author)
;
;Felix Jiang (author) (Search by this author);Xuan Thang Vu (author) (Search by this author)Sven Ingebrandt (author) (Search by this author)
https://orcid.org/0000-0002-0405-2727
(unauthenticated)
;
;Masatoshi Tokita (author) (Search by this author)Junko Morikawa (author) (Search by this author)
https://orcid.org/0000-0002-9530-9478
(unauthenticated)
;
Ryo Yoshida (author) (Search by this author)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
;
Teruaki Hayakawa (author) (Search by this author) - Keyword
- liquid crystalline polymer, thermal conductivity, machine learning, PoLyInfo
- Date published
- 2025-07-02
- Updated at
- 2025-08-19 12:30:21 +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
;
Kaoru Kimura (author) (Search by this author)National Institute for Materials Science
;
;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
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
- Journal article
- Creator
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;Abraham Castro Garcia (author) (Search by this author)Ken Sakaushi (author) (Search by this author)National Institute for Materials Science
- Keyword
- machine learning
- Date published
- 2025-09-04
- Updated at
- 2026-04-30 12:01:11 +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
Networking autonomous material exploration systems through transfer learning
- Journal article
- Creator
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;Naoki Yoshida (author) (Search by this author);Yutaro Iwabuchi (author) (Search by this author);Yasuhiko Igarashi (author) (Search by this author)Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
- Keyword
- machine learning
- Date published
- 2025-12-09
- Updated at
- 2025-12-13 08:30:26 +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
;
;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