3 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
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
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
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Lambard, Guillaume (author) (Search by this author)
;
Sasaki, Taisuke (author) (Search by this author)
;
Sodeyama, Keitaro (author) (Search by this author)
;
Ohkubo, Tadakatsu (author) (Search by this author)
;
Hono, Kazuhiro (author) (Search by this author)
- 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