Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns

Journal article

Creator

Hirotaka Uryu (author) (Search by this author)

Hirotaka Uryu ;

Tsunetomo Yamada (author) (Search by this author)

Tsunetomo Yamada ;

Koichi Kitahara (author) (Search by this author)

Koichi Kitahara ;

Alok Singh (author) (Search by this author)

https://orcid.org/0000-0001-5515-8305

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Alok Singh ;

Yutaka Iwasaki (author) (Search by this author)

https://orcid.org/0000-0002-7317-4939

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Yutaka Iwasaki ;

Kaoru Kimura (author) (Search by this author)

https://orcid.org/0000-0001-5050-4256

National Institute for Materials Science

Kaoru Kimura ;

Kanta Hiroki (author) (Search by this author)

Kanta Hiroki ;

Naoki Miyao (author) (Search by this author)

Naoki Miyao ;

Asuka Ishikawa (author) (Search by this author)

Asuka Ishikawa ;

Ryuji Tamura (author) (Search by this author)

Ryuji Tamura ;

Satoshi Ohhashi (author) (Search by this author)

Satoshi Ohhashi ;

Chang Liu (author) (Search by this author)

Chang Liu ;

Ryo Yoshida (author) (Search by this author)

Ryo Yoshida

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