Keyword: Machine learning

28 records found. Displaying records 1 to 10.

Manuscript R1(clean).docx
Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array
Journal article
Creator
Yusuke Saeki (author) (Search by this author)
;
Naoki Maki (author) (Search by this author)
;
Takahiro Nemoto (author) (Search by this author)
National Institute for Materials Science
;
Katsushige Inada (author) (Search by this author)
;
Kosuke Minami (author) (Search by this author)
ORCID SAMURAI ;
Ryo Tamura (author) (Search by this author)
ORCID SAMURAI ;
Gaku Imamura (author) (Search by this author)
ORCID SAMURAI ;
Yukiko Cho-Isoda (author) (Search by this author)
;
Shinsuke Kitazawa (author) (Search by this author)
;
Hiroshi Kojima (author) (Search by this author)
;
Genki Yoshikawa (author) (Search by this author)
ORCID SAMURAI ;
Yukio Sato (author) (Search by this author)
Keyword
Lung cancer, Breath analysis, Electronic nose (e-nose), Membrane-type Surface stress Sensor (MSS), Machine learning
Date published
2024-02-25
Updated at
2025-02-25 12:30:08 +0900

manuscript.docx
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
Journal article
Creator
E. Dengina (author) (Search by this author)
National Institute for Materials Science
;
A. Bolyachkin (author) (Search by this author)
ORCID SAMURAI ;
H. Sepehri-Amin (author) (Search by this author)
ORCID SAMURAI ;
K. Hono (author) (Search by this author)
ORCID SAMURAI
Keyword
Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
Date published
2022-05-13
Updated at
2024-10-15 16:30:13 +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

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

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

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

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