Keyword: Machine learning

19 records found. Displaying records 1 to 10.

Manuscript.pdf
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
Journal article
Creator
Akihiro Nishiguchi (author) (Search by this author)
ORCID SAMURAI ;
Miho Ohta (author) (Search by this author)
;
Debabrata Palai (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Shima Ito (author) (Search by this author)
ORCID SAMURAI ;
Kensaku Mori (author) (Search by this author)
;
Ryotaro Akagi (author) (Search by this author)
;
Christophe Bajan (author) (Search by this author)
ORCID SAMURAI ;
Guillaume Lambard (author) (Search by this author)
ORCID SAMURAI ;
Keitaro Sodeyama (author) (Search by this author)
ORCID SAMURAI ;
Tetsushi Taguchi (author) (Search by this author)
ORCID SAMURAI
Keyword
Hydrogel, Embolic agent, Machine learning
Date published
2024-11-07
Updated at
2025-02-26 16:30:29 +0900

Autonomous search for half-metallic materials with B2 structure.pdf
Autonomous search for half-metallic materials with B 2 structure
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ;
Takahiro Yamazaki (author) (Search by this author)
ORCID ;
Yasuhiko Igarashi (author) (Search by this author)
ORCID ;
Masato Kotsugi (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
Machine learning, Autonomous, ab initio, Half metal
Date published
2024-12-31
Updated at
2024-10-04 08:30:32 +0900

abstract.docx
Machine Learning Assisted Optimization of SmFe12-based Alloys
Conference poster
Creator
BOLYACHKIN Anton (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID SAMURAI ;
SUBAGJA Toni (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
LI Jiangnan (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science
;
ZHANG Jiasheng (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
;
ASHOK KRISHNASWAMY Srinithi (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID ;
ABE Taichi (author) (Search by this author)
Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
ORCID SAMURAI ;
TANG Xin (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
TOZMAN KARANIKOLAS Pelin (author) (Search by this author)
Global Networking Division/International Center for Young Scientists, National Institute for Materials Science
;
KULESH Nikita (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
OHKUBO Tadakatsu (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
ORCID SAMURAI ;
HONO Kazuhiro (author) (Search by this author)
ORCID SAMURAI
Keyword
Machine learning, Hard magnetic materials, SmFe12-based alloys
Date published
Updated at
2024-10-17 08:30:37 +0900

takahara-et-al-2024-toward-the-atomic-level-analysis-of-ground-state-electronic-structures-of-solid-materials-via.pdf
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
Journal article
Creator
Izumi Takahara (author) (Search by this author)
;
Fumihiko Uesugi (author) (Search by this author)
ORCID SAMURAI ;
Koji Kimoto (author) (Search by this author)
ORCID SAMURAI ;
Kiyou Shibata (author) (Search by this author)
;
Teruyasu Mizoguchi (author) (Search by this author)
Keyword
Machine learning, ELNES, XANES, PDOS
Date published
2024-08-15
Updated at
2024-10-02 12:30:19 +0900

lin-et-al-2025-determination-of-stable-proton-configurations-by-black-box-optimization-using-an-ising-machine.pdf
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
Journal article
Creator
Jianbo Lin (author) (Search by this author)
;
Tomofumi Tada (author) (Search by this author)
ORCID ;
Ai Koizumi (author) (Search by this author)
;
Masato Sumita (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Machine learning, Ising machine, Proton configuration
Date published
2025-02-06
Updated at
2025-05-23 08:30:18 +0900

Fujii-DigitalDiscovery2025.pdf
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
Journal article
Creator
Akihiro Fujii (author) (Search by this author)
;
Anh Khoa Augustin Lu (author) (Search by this author)
ORCID SAMURAI ;
Koji Shimizu (author) (Search by this author)
;
Satoshi Watanabe (author) (Search by this author)
National Institute for Materials Science
ORCID
Keyword
Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
Date published
2025-10-29
Updated at
2026-05-18 14:53:14 +0900

Manuscript_final.pdf
Elemental Reactivity Maps for Materials Discovery
Journal article
Creator
Yuki Inada (author) (Search by this author)
ORCID ;
Masaya Fujioka (author) (Search by this author)
ORCID ;
Haruhiko Morito (author) (Search by this author)
;
Tohru Sugahara (author) (Search by this author)
ORCID ;
Hisanori Yamane (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
Crystal structure, Elements, Machine learning, Materials, Reactivity
Date published
2025-03-25
Updated at
2026-02-21 16:30:08 +0900

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