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Figures_JECESOC-D-23-02070_R1.pptx
Application of extreme value statistics to internal pore distribution in ceramics and prediction of size dependency of strength scatter
Journal article
Creator
Chihiro Ito (author) (Search by this author)
;
Taiyo Maeda (author) (Search by this author)
;
Ryunosuke Higashi (author) (Search by this author)
;
Toshio Osada (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Takuma Kohata (author) (Search by this author)
National Institute for Materials Science
;
Shingo Ozaki (author) (Search by this author)
Keyword
Strength analysis, defects, extreme value statistics, Weibull distribution, size dependency
Date published
2023-12-10
Updated at
2025-12-10 08:30:46 +0900
Revised Manuscript-ActaMater_20240327.docx
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
Conference presentation
Creator
Cédric Bourgès (author) (Search by this author)
International Center for Young Scientists, National Institute for Materials Science
ORCID ;
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
ORCID SAMURAI ;
Naoki Sato (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Makoto Tachibana (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI ;
Satoshi Ishii (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Optical Nanostructure Team, National Institute for Materials Science
ORCID SAMURAI ;
Takao Mori (author) (Search by this author)
Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials Field/Thermal Energy Materials Group, National Institute for Materials Science
ORCID SAMURAI
Keyword
Kesterite, Machine learning, Process, Thermoelectric, Ceramic
Date published
Updated at
2024-10-30 16:30:23 +0900
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