2 records found.
Anomalous upper critical field in the quasicrystal superconductor Ta1.6Te
- Journal article
- Creator
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Taichi Terashima (author) (Search by this author)National Institute for Materials Science
;
;Yuki Tokumoto (author) (Search by this author);Kotaro Hamano (author) (Search by this author)Takako Konoike (author) (Search by this author)National Institute for Materials Science
;
Naoki Kikugawa (author) (Search by this author)National Institute for Materials Science
;
Keiichi Edagawa (author) (Search by this author) - Keyword
- superconductivity, quasicrystal, upper critical field
- Date published
- 2024-07-20
- Updated at
- 2024-07-22 12:30:30 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
- Journal article
- Creator
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;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)National Institute for Materials Science
;
Yutaka Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Kaoru Kimura (author) (Search by this author)National Institute for Materials Science
;
;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