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

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Wu 2025 J Appl Crystallogr nanoXRD UMAP HVPE GaN.pdf
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
Journal article
Creator
Zhendong Wu (author) (Search by this author)
;
Yusuke Hayashi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Tetsuya Tohei (author) (Search by this author)
;
Kazushi Sumitani (author) (Search by this author)
;
Yasuhiko Imai (author) (Search by this author)
;
Shigeru Kimura (author) (Search by this author)
;
Akira Sakai (author) (Search by this author)
Keyword
GaN, SPring-8, nanoXRD, Machine learning
Date published
2025-08-01
Updated at
2025-07-31 12:30:18 +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
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
Manuscript.pdf
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
Journal article
Creator
N. Kulesh (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
A. Bolyachkin (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
I. Suzuki (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Y.K. Takahashi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
H. Sepehri-Amin (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
K. Hono (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
Date published
2023-05-27
Updated at
2025-05-27 08:30:20 +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
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning (1).pdf
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
Journal article
Creator
ORCID SAMURAI
Keyword
Machine learning, Autonomous, Curie temperature, ab initio
Date published
2024-12-31
Updated at
2024-10-04 08:30:28 +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
s41524-025-01828-7.pdf
Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
Keyword
Machine learning, Autonomous, Combinatorial, Anomalous Hall effect
Date published
2025-11-19
Updated at
2025-12-25 17:32:06 +0900
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
d3dd00215b.pdf
Automated odor-blending with one-pot Bayesian optimization
Journal article
Creator
Yota Fukui (author) (Search by this author)
;
Kosuke Minami (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Kota Shiba (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Genki Yoshikawa (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Koji Tsuda (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Ryo Tamura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Machine learning, MSS, Bayesian optimization, Olfactory sensor
Date published
2024-04-16
Updated at
2024-06-10 12:30:19 +0900
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