Keyword: Machine learning
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37 records found. Displaying records 1 to 10.

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s41524-025-01757-5 (2).pdf
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
Date published
2025-09-03
Updated at
2025-12-26 13:11:05 +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
2024_Exploring new useful phosphors by combining experiments with machine learning.pdf
Exploring new useful phosphors by combining experiments with machine learning
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ;
Hidekazu Ikeno (author) (Search by this author)
; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Phosphor, High-throughput experiment, Machine learning, Local structure, Europium
Date published
2024-12-31
Updated at
2024-12-05 16:30:28 +0900
D5DD00437C.pdf
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
Journal article
Creator
Sitanan Sartyoungkul (author) (Search by this author)
;
Balasubramaniyan Sakthivel (author) (Search by this author)
;
Pavel Sidorov (author) (Search by this author)
ORCID ;
Yuuya Nagata (author) (Search by this author)
ORCID
Keyword
Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
Date published
2025-11-26
Updated at
2025-12-24 15:05:55 +0900
1-s2.0-S135964542400692X-main.pdf
Process optimization on kesterite-based ceramics for enhancing their thermoelectric performances assisted by active machine learning approach: A tool for metal-sulfide ceramics development
Journal article
Creator
Cédric Bourgès (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Guillaume Lambard (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Naoki Sato (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Makoto Tachibana (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Satoshi Ishii (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Takao Mori (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Kesterite, Machine learning, Process, Thermoelectric, Ceramic
Date published
2024-08-29
Updated at
2024-09-20 16:30:30 +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
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
1-s2.0-S2214860425001010-main.pdf
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
Journal article
Creator
Han Chen (author) (Search by this author)
;
Daisuke Egusa (author) (Search by this author)
;
Zehao Li (author) (Search by this author)
National Institute for Materials Science
;
Taisuke Sasaki (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Ryosuke Ozasa (author) (Search by this author)
;
Takuya Ishimoto (author) (Search by this author)
;
Masayuki Okugawa (author) (Search by this author)
;
Yuichiro Koizumi (author) (Search by this author)
;
Takayoshi Nakano (author) (Search by this author)
;
Eiji Abe (author) (Search by this author)
Keyword
High-entropy alloy, Laser powder bed fusion, Cellular structure, Phase separation, Dislocation-network, Electron microscopy, Machine learning
Date published
2025-03-12
Updated at
2025-04-08 13:16:16 +0900
1-s2.0-S092702562600087X-main.pdf
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
Journal article
Creator
Quentin Bizot (author) (Search by this author)
ORCID ; ORCID SAMURAI ;
Guillaume Deffrennes (author) (Search by this author)
ORCID
Keyword
CALPHAD, Machine learning
Date published
2026-02-07
Updated at
2026-04-01 13:44:57 +0900
Minami_20250723final_w_highlight.pdf
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
Journal article
Creator
Rintaro Minami (author) (Search by this author)
a Department of Applied Physics, University of Tsukuba
;
Eiji Kita (author) (Search by this author)
;
Chiharu Mitsumata (author) (Search by this author)
;
Hideto Yanagihara (author) (Search by this author)
Keyword
Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
Date published
2025-12-31
Updated at
2025-09-10 16:30:38 +0900
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