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41 records found. Displaying records 1 to 10.
Estimating the S-N Curve by Machine Learning Random Forest Method
- Journal article
- Creator
-
Nobuo Nagashima (author) (Search by this author)National Institute for Materials Science
;
Masao Hayakawa (author) (Search by this author)National Institute for Materials Science
;
Hiroyuki Masuda (author) (Search by this author)National Institute for Materials Science
;
Kotobu Nagai (author) (Search by this author)National Institute for Materials Science - Keyword
- fatigue, high-cycle fatigue, data-sheet, machine learning, random forest method
- Date published
- 2024-04-01
- Updated at
- 2024-12-27 16:30:58 +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
;
Kenji Nagata (author) (Search by this author)National Institute for Materials Science
;
Hideki Yoshikawa (author) (Search by this author)National Institute for Materials Science
;
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
- Date published
- 2021-03-24
- Updated at
- 2024-01-05 22:13:49 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- Journal article
- Creator
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Guohai Chen (author) (Search by this author)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (Search by this author)
- Keyword
- machine learning, carbon nanotube, in situ TEM, growth mechanism
- Date published
- 2024-10-22
- Updated at
- 2024-12-24 13:58:23 +0900
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
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)
;
;Ryusei Hayasaka (author) (Search by this author)Yuta Matsushima (author) (Search by this author)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
;
Takayuki Nakanishi (author) (Search by this author)
;
Takashi Takeda (author) (Search by this author)
;
Naoto Hirosaki (author) (Search by this author)
- Keyword
- materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
- Date published
- 2026-12-31
- Updated at
- 2026-07-07 14:31:04 +0900
Enhancing oxygen reduction reaction mass activity in polymer electrolyte fuel cells via molecular machine learning
- Journal article
- Creator
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Ekaterina Gracheva (author) (Search by this author)
;
;Shin-ichi Yamazaki (author) (Search by this author)Guillaume Lambard (author) (Search by this author)
;
Keitaro Sodeyama (author) (Search by this author)
;
;Tsutomu Ioroi (author) (Search by this author)Masafumi Asahi (author) (Search by this author)
https://orcid.org/0000-0002-2122-3073
(unauthenticated)
- Keyword
- materials science, machine learning, chemoinformatics, polymer electrolyte fuel cell (PEFC), oxygen reduction reaction, active learning
- Date published
- 2026-08-01
- Updated at
- 2026-08-26 16:18:22 +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
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
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
;
;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
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
- Journal article
- Creator
-
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