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

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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
Efficient autonomous material search method combining ab initio calculations autoencoder and multi objective Bayesian optimization.pdf
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
Journal article
Creator
ORCID SAMURAI ;
Hwang Jaekyun (author) (Search by this author)
ORCID ; ORCID SAMURAI ;
Masato Kotsugi (author) (Search by this author)
ORCID ;
Yasuhiko Igarashi (author) (Search by this author)
ORCID
Keyword
autonomous materials search, ab-initio, Machine learning
Date published
2022-12-31
Updated at
2024-01-05 22:14:05 +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
abstract_YOSHIKAWA.pdf
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
Conference presentation
Creator
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
ORCID SAMURAI ;
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
Dieb-Tsuda2018_Chapter_MachineLearning-BasedExperimen.pdf
Machine Learning-Based Experimental Design in Materials Science
Book
Creator
ORCID SAMURAI ; ORCID SAMURAI
Keyword
Materials design, Machine learning, Optimal experiment design
Date published
2018-01-16
Updated at
2022-10-03 01:58:06 +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
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
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
manuscript.docx
Data-Driven Development of Magnetic Materials
Conference presentation
Creator
BOLYACHKIN Anton (author) (Search by this author)
Global Networking Division/International Center for Young Scientists, National Institute for Materials Science
ORCID SAMURAI ;
SEPEHRI AMIN Hossein (author) (Search by this author)
Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis 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
Keyword
Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
Date published
Updated at
2024-10-16 16:30:20 +0900
PhysRevMaterials.7.093805.pdf
Quasicrystals predicted and discovered by machine learning
Journal article
Creator
Chang Liu (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
;
Asuka Ishikawa (author) (Search by this author)
;
Takanobu Hiroto (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Alok Singh (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Erina Fujita (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Yukari Katsura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Yuki Inada (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Ryo Yoshida (author) (Search by this author)
ORCID
Keyword
Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
Date published
2023-09-25
Updated at
2024-11-21 16:36:03 +0900
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