6 records found.

65_MT-M2023128.pdf
Phase Equilibria in Aluminium–Ruthenium–Silicon System near 1200 Kelvin
Journal article
Creator
Koichi Kitahara (author) (Search by this author)
;
Hiroyuki Takakura (author) (Search by this author)
;
Yutaka Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID
Keyword
aluminium–ruthenium–silicon system, phase equilibrium, crystal structure, X-ray diffraction, electron-probe X-ray microanalysis, incommensurate composite crystal, quasicrystal
Date published
2024-01-01
Updated at
2024-12-13 12:30:48 +0900

1-s2.0-S1359646225005615-main.pdf
Thermoelectric properties of semiconducting approximant crystals in the Al–Ge–Ru system
Journal article
Creator
ORCID SAMURAI ;
Yasuhiro Niwa (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
ORCID ;
Kaoru Kimura (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
Keyword
Quasicrystal
Date published
2025-11-20
Updated at
2025-11-25 16:30:03 +0900

acceptedversion_PRL.pdf
High-Temperature Atomic Diffusion and Specific Heat in Quasicrystals
Journal article
Creator
Yuki Nagai (author) (Search by this author)
;
Yutaka Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Koichi Kitahara (author) (Search by this author)
;
Yoshiki Takagiwa (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Motoyuki Shiga (author) (Search by this author)
Keyword
Quasicrystal, specific heat, machine-learning molecular dynamics, phason
Date published
2024-05-10
Updated at
2024-08-19 12:30:16 +0900

s41597-024-04043-z.pdf
Comprehensive experimental datasets of quasicrystals and their approximants
Journal article
Creator
Erina Fujita (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Materials Modeling Group, National Institute for Materials Science
ORCID SAMURAI ;
Chang Liu (author) (Search by this author)
The Institute of Statistical Mathematics
;
Asuka Ishikawa (author) (Search by this author)
Tokyo University of Science, Graduate School of Advanced Engineering Department of Materials Science and Technology
;
Tomoya Mato (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Materials Modeling Group, National Institute for Materials Science
ORCID SAMURAI ;
Koichi Kitahara (author) (Search by this author)
National Defense Academy
;
Ryuji Tamura (author) (Search by this author)
Tokyo University of Science, Graduate School of Advanced Engineering Department of Materials Science and Technology
;
Kaoru Kimura (author) (Search by this author)
The Institute of Statistical Mathematics
ORCID ;
Ryo Yoshida (author) (Search by this author)
The Institute of Statistical Mathematics
ORCID ;
Yukari Katsura (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Materials Modeling Group, National Institute for Materials Science
ORCID SAMURAI
Keyword
Databases, Electronic properties and materials, Metals and alloys
Date published
2024-11-13
Updated at
2024-12-05 12:47:25 +0900

PhysRevMaterials.7.093805.pdf
Quasicrystals predicted and discovered by machine learning
Journal article
Creator
Chang Liu (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
;
Asuka Ishikawa (author) (Search by this author)
;
Takanobu Hiroto (author) (Search by this author)
ORCID SAMURAI ;
Alok Singh (author) (Search by this author)
ORCID SAMURAI ;
Erina Fujita (author) (Search by this author)
ORCID SAMURAI ;
Yukari Katsura (author) (Search by this author)
ORCID SAMURAI ;
Yuki Inada (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Ryo Yoshida (author) (Search by this author)
ORCID
Keyword
Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
Date published
2023-09-25
Updated at
2024-11-21 16:36:03 +0900

Advanced Science - 2023 - Uryu - Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder.pdf
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
Journal article
Creator
Hirotaka Uryu (author) (Search by this author)
;
Tsunetomo Yamada (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
;
Alok Singh (author) (Search by this author)
ORCID SAMURAI ;
Yutaka Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Kanta Hiroki (author) (Search by this author)
;
Naoki Miyao (author) (Search by this author)
;
Asuka Ishikawa (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
;
Satoshi Ohhashi (author) (Search by this author)
;
Chang Liu (author) (Search by this author)
;
Ryo Yoshida (author) (Search by this author)
Keyword
deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
Date published
2023-11-14
Updated at
2024-12-13 12:30:39 +0900