Keyword: Machine learning
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Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf
Autonomous materials search using machine learning and ab initio calculations for L1 0 -FePt-based quaternary alloys
Journal article
Creator
Yuma Iwasaki (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Daisuke Ogawa (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Masato Kotsugi (author) (Search by this author)
;
Yukiko K. Takahashi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, Autonomous
Date published
2025-12-31
Updated at
2025-12-25 15:02:29 +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)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, Hard magnetic materials, SmFe12-based alloys
Date published
Updated at
2024-10-17 08:30:37 +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
Prediction_and_optimization_of_epoxy_adhesive_strength_from_a_small_dataset_through_active_learning.pdf
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Pruksawan, Sirawit (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
active learning, Machine learning, adhesive
Date published
2019-12-31
Updated at
2024-01-05 22:11:50 +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)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Kimoto (author) (Search by this author)
National Institute for Materials Science
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
main.pdf
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
Date published
2026-04-23
Updated at
2026-06-17 09:57:29 +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)
National Institute for Materials Science
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
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis.pdf
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
Journal article
Creator
Ryo Tamura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
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
ORCID SAMURAI ;
Takashi Nakanishi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
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
Revised Manuscript-ActaMater_20240327.docx
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
Conference presentation
Creator
Cédric Bourgès (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID ;
Guillaume Lambard (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group, National Institute for Materials Science
ORCID SAMURAI ;
Naoki Sato (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Makoto Tachibana (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Satoshi Ishii (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
ORCID SAMURAI ;
Takao Mori (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI
Keyword
Kesterite, Machine learning, Process, Thermoelectric, Ceramic
Date published
Updated at
2024-10-30 16:30:23 +0900
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