Understanding strain localization in metallic materials: a review of high-resolution digital image correlation and related techniques
- Journal article
- Creator
-
F. Briffod (author) (Search by this author)
;
;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
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
- Journal article
- Creator
-
;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
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
- Journal article
- Creator
-
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
Structure Prediction from Chemical Formula Using Periodic Descriptors
- Conference presentation
- Creator
-
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
;
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
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
- Journal article
- Creator
-
;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
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
- Journal article
- Creator
-
;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
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
- Journal article
- Creator
-
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
Automatic extraction of materials and properties from superconductors scientific literature
- Journal
- Creator
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Luca Foppiano (author) (Search by this author)MaDIS, NIMS
;
Pedro Baptista Castro (author) (Search by this author)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
MANA, NIMS
;
Pedro Ortiz Suarez (author) (Search by this author)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
Data and Web Science Group, University of Mannheim
;
Kensei Terashima (author) (Search by this author)
;
Yoshihiko Takano (author) (Search by this author)
;
Masashi Ishii (author) (Search by this author)
- Keyword
- Materials informatics, superconductors, machine learning, NLP, TDM
- Date published
- 2023-12-31
- Updated at
- 2024-01-05 22:12:53 +0900
Supercon 2 Dataset
- Dataset
- Creator
-
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
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
- Journal article
- Creator
-
Foppiano Luca (author) (Search by this author)MaDIS, NIMS
;
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
;
Terashima, Kensei (author) (Search by this author)
;
Takano, Yoshihiko (author) (Search by this author)
;
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