3 records found.
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
- Presentation
- Creator
-
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
- 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
- Article
- Creator
-
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
- 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
-
Lambard, Guillaume
;
Sasaki, Taisuke
;
Sodeyama, Keitaro
;
Ohkubo, Tadakatsu
;
Hono, Kazuhiro
- 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