3 records found. Displaying records 1 to 3.
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
- Journal article
- Creator
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Ryo Tamura (author) (Search by this author)National Institute for Materials Science
;
;Kenji Nagata (author) (Search by this author);Keitaro Sodeyama (author) (Search by this author);Kensaku Nakamura (author) (Search by this author);Toshiki Tokuhira (author) (Search by this author);Satoshi Shibata (author) (Search by this author);Kazuki Hammura (author) (Search by this author);Hiroki Sugisawa (author) (Search by this author);Masaya Kawamura (author) (Search by this author);Teruki Tsurimoto (author) (Search by this author);Masanobu Naito (author) (Search by this author)Masahiko Demura (author) (Search by this author)National Institute for Materials Science
;
Takashi Nakanishi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
- Date published
- 2024-12-31
- Updated at
- 2024-08-30 16:31:01 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Conference presentation
- Creator
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Chiaki Yoshikawa (author) (Search by this author)Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
;
Hiroshi Mamitsuka (author) (Search by this author)
- Keyword
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- Date published
- Updated at
- 2025-11-06 12:30:42 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- Journal article
- Creator
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Yuma Iwasaki (author) (Search by this author)
- Keyword
- Machine learning, Autonomous, Curie temperature, ab initio
- Date published
- 2024-12-31
- Updated at
- 2024-10-04 08:30:28 +0900