28 records found.
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
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
- Journal article
- Creator
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;Sitanan Sartyoungkul (author) (Search by this author);Balasubramaniyan Sakthivel (author) (Search by this author)Pavel Sidorov (author) (Search by this author)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
;
Yuuya Nagata (author) (Search by this author)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
- 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
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
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Conference presentation
- Creator
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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
;
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
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)
;
Yuuji Kimura (author) (Search by this author)
;
Akinobu Shibata (author) (Search by this author)
- 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
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
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
- Journal article
- Creator
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;Naoki Yamane (author) (Search by this author)Tsukuba University;Kan Hatakeyama-Sato (author) (Search by this author)東京工業大学Yuma Iwasaki (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
;
Yasuhiko Igarashi (author) (Search by this author)Tsukuba University
- Keyword
- Machine learning
- Date published
- 2024-12-31
- Updated at
- 2024-11-14 16:30:30 +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
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- Journal article
- Creator
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;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
Elemental Reactivity Maps for Materials Discovery
- Journal article
- Creator
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Yuki Inada (author) (Search by this author)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
;
Masaya Fujioka (author) (Search by this author)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
;
;Haruhiko Morito (author) (Search by this author)Tohru Sugahara (author) (Search by this author)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
;
Hisanori Yamane (author) (Search by this author)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
;
Yukari Katsura (author) (Search by this author)
- Keyword
- Crystal structure, Elements, Machine learning, Materials, Reactivity
- Date published
- 2025-03-25
- Updated at
- 2026-02-21 16:30:08 +0900