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
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
- Journal article
- Creator
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Guohai Chen (author) (Search by this author)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (Search by this author)
- Keyword
- Carbon Nanotubes, Synthesis, Properties, Machine learning
- Date published
- 2025-10-20
- Updated at
- 2025-12-13 08:30:03 +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
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
- Journal article
- Creator
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Quentin Bizot (author) (Search by this author)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
;
Ryo Tamura (author) (Search by this author)
;
Guillaume Deffrennes (author) (Search by this author)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
- Keyword
- CALPHAD, Machine learning
- Date published
- 2026-02-07
- Updated at
- 2026-04-01 13:44:57 +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
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
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
Autonomous search for half-metallic materials with B 2 structure
- Journal article
- Creator
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Yuma Iwasaki (author) (Search by this author)
;
Ryo Toyama (author) (Search by this author)
;
Takahiro Yamazaki (author) (Search by this author)
https://orcid.org/0000-0003-0738-9373
(unauthenticated)
;
Yasuhiko Igarashi (author) (Search by this author)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
;
Masato Kotsugi (author) (Search by this author)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
;
Yuya Sakuraba (author) (Search by this author)
- Keyword
- Machine learning, Autonomous, ab initio, Half metal
- Date published
- 2024-12-31
- Updated at
- 2024-10-04 08:30:32 +0900
Machine Learning-Based Experimental Design in Materials Science
- Book
- Creator
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Tsuda, Koji (author) (Search by this author)
;
Dieb, Thaer M. (author) (Search by this author)
- Keyword
- Materials design, Machine learning, Optimal experiment design
- Date published
- 2018-01-16
- Updated at
- 2022-10-03 01:58:06 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
- Journal article
- Creator
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Ryo Tamura (author) (Search by this author)National Institute for Materials Science
;
;Kenji Nagata (author) (Search by this author);Keitaro Sodeyama (author) (Search by this author);Kensaku Nakamura (author) (Search by this author);Toshiki Tokuhira (author) (Search by this author);Satoshi Shibata (author) (Search by this author);Kazuki Hammura (author) (Search by this author);Hiroki Sugisawa (author) (Search by this author);Masaya Kawamura (author) (Search by this author);Teruki Tsurimoto (author) (Search by this author);Masanobu Naito (author) (Search by this author)Masahiko Demura (author) (Search by this author)National Institute for Materials Science
;
Takashi Nakanishi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
- Date published
- 2024-12-31
- Updated at
- 2024-08-30 16:31:01 +0900