9 records found. Displaying records 1 to 9.
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
- Journal article
- Creator
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;Hiroto Arima (author) (Search by this author)National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST);Yuichiro Yamashita (author) (Search by this author)Takashi Yagi (author) (Search by this author)
- Keyword
- Time-domain thermoreflectance, multiple delay, thin film, thermal effusivity, interfacial thermal resistance, machine learning
- Date published
- 2025-12-31
- Updated at
- 2025-07-16 16:14:58 +0900
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
- Journal article
- Creator
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Paripat Kraisornkachit (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Chao Kang (author) (Search by this author)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
;
Chiaki Sato (author) (Search by this author) - Keyword
- experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
- Date published
- 2024-06-12
- Updated at
- 2025-01-07 08:30:26 +0900
Analysis of the effect of the Fermi surface matching at Co–Fe and Cu interface on giant magnetoresistance effect using a combinatorial technique
- Journal article
- Creator
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Varun Kumar Kushwaha (author) (Search by this author)
https://orcid.org/0000-0001-6344-4264
(unauthenticated)
National Institute for Materials Science
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Ryo Toyama (author) (Search by this author)National Institute for Materials Science
;
Yoshio Miura (author) (Search by this author)National Institute for Materials Science
;
Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Yuya Sakuraba (author) (Search by this author)National Institute for Materials Science
- Keyword
- spintronics, giant magnetoresistance, machine learning, Fermi surface, interfacial electronic band matching
- Date published
- 2024-12-01
- Updated at
- 2025-01-07 16:30:50 +0900
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 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
2023 Roadmap on molecular modelling of electrochemical energy materials
- Journal article
- Creator
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;Chao Zhang (author) (Search by this author);Jun Cheng (author) (Search by this author);Yiming Chen (author) (Search by this author);Maria K Y Chan (author) (Search by this author);Qiong Cai (author) (Search by this author);Rodrigo P Carvalho (author) (Search by this author);Cleber F N Marchiori (author) (Search by this author);Daniel Brandell (author) (Search by this author);C Moyses Araujo (author) (Search by this author);Ming Chen (author) (Search by this author);Xiangyu Ji (author) (Search by this author);Guang Feng (author) (Search by this author);Kateryna Goloviznina (author) (Search by this author);Alessandra Serva (author) (Search by this author);Mathieu Salanne (author) (Search by this author)Toshihiko Mandai (author) (Search by this author)National Institute for Materials Science (NIMS)
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;Tomooki Hosaka (author) (Search by this author);Mirna Alhanash (author) (Search by this author);Patrik Johansson (author) (Search by this author);Yun-Ze Qiu (author) (Search by this author);Hai Xiao (author) (Search by this author);Michael Eikerling (author) (Search by this author);Ryosuke Jinnouchi (author) (Search by this author);Marko M Melander (author) (Search by this author);Georg Kastlunger (author) (Search by this author);Assil Bouzid (author) (Search by this author);Alfredo Pasquarello (author) (Search by this author);Seung-Jae Shin (author) (Search by this author);Minho M Kim (author) (Search by this author);Hyungjun Kim (author) (Search by this author);Kathleen Schwarz (author) (Search by this author)Ravishankar Sundararaman (author) (Search by this author)
- Keyword
- electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
- Date published
- 2023-10-01
- Updated at
- 2024-03-22 00:53:39 +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
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)
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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)
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;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)
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;Masatoshi Tokita (author) (Search by this author)Junko Morikawa (author) (Search by this author)
https://orcid.org/0000-0002-9530-9478
(unauthenticated)
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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
Structure Prediction from Chemical Formula Using Periodic Descriptors
- Conference presentation
- Creator
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Yen-Ju Wu (author) (Search by this author)Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group, National Institute for Materials Science
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Yibin Xu (author) (Search by this author)Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group, National Institute for Materials Science
- Keyword
- periodic descriptor, structure prediction, machine learning, template substitution
- Date published
- Updated at
- 2025-09-13 08:30:19 +0900