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 prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
- Journal article
- Creator
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;Hassan Ahmad (author) (Search by this author)Department of Metallurgy and Materials Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS);Muhammad Haider (author) (Search by this author);Zafar Iqbal (author) (Search by this author);Muhammad Zarif (author) (Search by this author)Syed Mujtaba Ul Hassan (author) (Search by this author)
- Keyword
- Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
- Date published
- 2026-12-31
- Updated at
- 2026-07-08 16:58:38 +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
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)National Institute for Materials Science
;
Masaki Kobayashi (author) (Search by this author)National Institute for Materials Science
;
Masahiko Demura (author) (Search by this author)National Institute for Materials Science
- Keyword
- Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
- Date published
- 2026-12-31
- Updated at
- 2026-06-25 09:51:40 +0900
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
- Journal article
- Creator
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;Masaki Imamura (author) (Search by this author)Synchrotron Light Application Center, Saga UniversityKazutoshi Takahashi (author) (Search by this author)
- Keyword
- Photoemission spectroscopy, non-negative matrix factorization, graphene, machine learning, data-driven analysis
- Date published
- 2026-06-19
- Updated at
- 2026-06-24 15:38:41 +0900
Understanding strain localization in metallic materials: a review of high-resolution digital image correlation and related techniques
- Journal article
- Creator
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F. Briffod (author) (Search by this author)
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;T. E.J. Edwards (author) (Search by this author);J. Quinta da Fonseca (author) (Search by this author);J. -C. Stinville (author) (Search by this author);D. Texier (author) (Search by this author)T. Vermeij (author) (Search by this author)
- Keyword
- High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning
- Date published
- 2026-12-31
- Updated at
- 2026-03-13 08:30:04 +0900
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
- Journal article
- Creator
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;Hiroyuki Tanaka (author) (Search by this author)a Graduate School of Engineering, Nagoya University;Kentaro Kutsukake (author) (Search by this author);Kota Asakura (author) (Search by this author);Takuto Kojima (author) (Search by this author);Xin Liu (author) (Search by this author)Noritaka Usami (author) (Search by this author)
- Keyword
- Optimization, machine learning, genetic algorithm, crystal growth, process informatics
- Date published
- 2025-12-31
- Updated at
- 2026-02-27 12:30:07 +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
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
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)
;
;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)
;
Masashi Ishii (author) (Search by this author)
;
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