30 records found.
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
- Journal article
- Creator
-
Christophe Bajan (author) (Search by this author)
;
Guillaume Lambard (author) (Search by this author)
- Keyword
- Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly
- Date published
- 2025-01-21
- Updated at
- 2025-01-27 12:30:30 +0900
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
- Journal article
- Creator
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;Jianbo Lin (author) (Search by this author)Tomofumi Tada (author) (Search by this author)
https://orcid.org/0000-0003-3093-3779
(unauthenticated)
;
;Ai Koizumi (author) (Search by this author)Masato Sumita (author) (Search by this author)
https://orcid.org/0000-0002-3506-1028
(unauthenticated)
;
Koji Tsuda (author) (Search by this author)
;
Ryo Tamura (author) (Search by this author)
- Keyword
- Machine learning, Ising machine, Proton configuration
- Date published
- 2025-02-06
- Updated at
- 2025-05-23 08:30:18 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- Journal article
- Creator
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N. Kulesh (author) (Search by this author)National Institute for Materials Science
;
A. Bolyachkin (author) (Search by this author)National Institute for Materials Science
;
I. Suzuki (author) (Search by this author)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
;
Y.K. Takahashi (author) (Search by this author)National Institute for Materials Science
;
H. Sepehri-Amin (author) (Search by this author)National Institute for Materials Science
;
K. Hono (author) (Search by this author)National Institute for Materials Science
- 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
From Random Networks to AI-Driven Glass Design
- Conference presentation
- Creator
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N. M. Anoop Krishnan (author) (Search by this author)Department of Civil Engineering, Indian Institute of Technology Delhi
- Keyword
- Machine learning, AI-Driven Glass Design
- Date published
- Updated at
- 2025-09-25 16:30:42 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
- Journal article
- Creator
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;Akihiro Fujii (author) (Search by this author)Anh Khoa Augustin Lu (author) (Search by this author)National Institute for Materials Science
;
;Koji Shimizu (author) (Search by this author)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
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- Journal article
- Creator
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Akihiro Nishiguchi (author) (Search by this author)National Institute for Materials Science
;
;Miho Ohta (author) (Search by this author)Debabrata Palai (author) (Search by this author)National Institute for Materials Science
;
Shima Ito (author) (Search by this author)National Institute for Materials Science
;
;Kensaku Mori (author) (Search by this author);Ryotaro Akagi (author) (Search by this author)Christophe Bajan (author) (Search by this author)National Institute for Materials Science
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
Keitaro Sodeyama (author) (Search by this author)National Institute for Materials Science
;
Tetsushi Taguchi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Hydrogel, Embolic agent, Machine learning
- Date published
- 2024-11-07
- Updated at
- 2025-02-26 16:30:29 +0900
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
- Journal article
- Creator
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;Izumi Takahara (author) (Search by this author)Fumihiko Uesugi (author) (Search by this author)National Institute for Materials Science
;
Koji Kimoto (author) (Search by this author)National Institute for Materials Science
;
;Kiyou Shibata (author) (Search by this author)Teruyasu Mizoguchi (author) (Search by this author)
- Keyword
- Machine learning, ELNES, XANES, PDOS
- Date published
- 2024-08-15
- Updated at
- 2024-10-02 12:30:19 +0900
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
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Cédric Bourgès (author) (Search by this author)National Institute for Materials Science
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
Naoki Sato (author) (Search by this author)National Institute for Materials Science
;
Makoto Tachibana (author) (Search by this author)National Institute for Materials Science
;
Satoshi Ishii (author) (Search by this author)National Institute for Materials Science
;
Takao Mori (author) (Search by this author)National Institute for Materials Science
- Keyword
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- Date published
- 2024-08-29
- Updated at
- 2024-09-20 16:30:30 +0900
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
- Conference presentation
- Creator
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Cédric Bourgès (author) (Search by this author)International Center for Young Scientists, National Institute for Materials Science
;
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
;
Naoki Sato (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
;
Makoto Tachibana (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
;
Satoshi Ishii (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
;
Takao Mori (author) (Search by this author)Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
- Keyword
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- Date published
- Updated at
- 2024-10-30 16:30:23 +0900
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
- Journal article
- Creator
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Lambard, Guillaume (author) (Search by this author)
;
Naito, Masanobu (author) (Search by this author)
;
Samitsu, Sadaki (author) (Search by this author)
;
Pruksawan, Sirawit (author) (Search by this author)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
;
Sodeyama, Keitaro (author) (Search by this author)
- Keyword
- active learning, Machine learning, adhesive
- Date published
- 2019-12-31
- Updated at
- 2024-01-05 22:11:50 +0900