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Keyword: Machine learning

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31 records found. Displaying records 1 to 10.

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Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning

Journal article
Creator: Houichi Kitano (author) (Search by this author)

https://orcid.org/0000-0002-0778-574X

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Yuuji Kimura (author) (Search by this author)

https://orcid.org/0000-0002-8907-0704

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Akinobu Shibata (author) (Search by this author)

https://orcid.org/0000-0001-8577-6411

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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

High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning

Journal article
Creator: Ryo Toyama (author) (Search by this author)

https://orcid.org/0000-0002-7398-5803

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Yuma Iwasaki (author) (Search by this author)

https://orcid.org/0000-0002-7117-277X

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Prabhanjan D. Kulkarni (author) (Search by this author)

https://orcid.org/0000-0002-4605-5256

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Hirofumi Suto (author) (Search by this author)

https://orcid.org/0000-0003-4387-5862

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Tomoya Nakatani (author) (Search by this author)

https://orcid.org/0000-0001-9590-216X

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Yuya Sakuraba (author) (Search by this author)

https://orcid.org/0000-0003-4618-9550

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Keyword: Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
Date published: 2025-09-03
Updated at: 2025-12-26 13:11:05 +0900

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

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Eiji Kita (author) (Search by this author)

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Chiharu Mitsumata (author) (Search by this author)

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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

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)

https://orcid.org/0000-0003-4702-0933

National Institute for Materials Science

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Koji Shimizu (author) (Search by this author)

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Satoshi Watanabe (author) (Search by this author)

https://orcid.org/0000-0002-8069-6938 (unauthenticated)

National Institute for Materials Science
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

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)

https://orcid.org/0000-0001-7046-2671

National Institute for Materials Science

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A. Bolyachkin (author) (Search by this author)

https://orcid.org/0000-0003-0420-1806

National Institute for Materials Science

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I. Suzuki (author) (Search by this author)

https://orcid.org/0000-0002-8932-8226 (unauthenticated)

National Institute for Materials Science

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Y.K. Takahashi (author) (Search by this author)

https://orcid.org/0000-0001-9197-7236

National Institute for Materials Science

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H. Sepehri-Amin (author) (Search by this author)

https://orcid.org/0000-0002-7856-7897

National Institute for Materials Science

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K. Hono (author) (Search by this author)

https://orcid.org/0000-0001-7367-0193

National Institute for Materials Science

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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

Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning

Journal article
Creator: Yuma Iwasaki (author) (Search by this author)

https://orcid.org/0000-0002-7117-277X

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Keyword: Machine learning, Autonomous, Curie temperature, ab initio
Date published: 2024-12-31
Updated at: 2024-10-04 08:30:28 +0900

DataSummary_Extrusion_Manuscript_20210728.xlsx

Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.

Dataset
Creator: Lambard, Guillaume (author) (Search by this author)

https://orcid.org/0000-0003-0275-4079

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Sasaki, Taisuke (author) (Search by this author)

https://orcid.org/0000-0002-5952-7638

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Sodeyama, Keitaro (author) (Search by this author)

https://orcid.org/0000-0002-9228-0729

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Ohkubo, Tadakatsu (author) (Search by this author)

https://orcid.org/0000-0003-3548-1951

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Hono, Kazuhiro (author) (Search by this author)

https://orcid.org/0000-0001-7367-0193

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Keyword: Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
Date published: 2021-10-11
Updated at: 2022-10-03 02:01:08 +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)

https://orcid.org/0000-0001-9056-0420

International Center for Young Scientists, National Institute for Materials Science

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Guillaume Lambard (author) (Search by this author)

https://orcid.org/0000-0003-0275-4079

Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group, National Institute for Materials Science

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Naoki Sato (author) (Search by this author)

https://orcid.org/0000-0002-6429-0591

Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science

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Makoto Tachibana (author) (Search by this author)

https://orcid.org/0000-0002-5907-5563

Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science

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Satoshi Ishii (author) (Search by this author)

https://orcid.org/0000-0003-0731-8428

Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science

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Takao Mori (author) (Search by this author)

https://orcid.org/0000-0003-2682-1846

Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science

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Keyword: Kesterite, Machine learning, Process, Thermoelectric, Ceramic
Date published
Updated at: 2024-10-30 16:30:23 +0900