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

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

Abstract Since the discovery of the quasicrystal, approximately 100 stable quasicrystals are identified. To date, the existence of quasicrystals is verified using transmission electron microscopy; however, this technique requires significantly more elaboration than rapid and automatic powder X‐ray d...

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Bibliographic Details
Main Authors: Hirotaka Uryu, Tsunetomo Yamada, Koichi Kitahara, Alok Singh, Yutaka Iwasaki, Kaoru Kimura, Kanta Hiroki, Naoya Miyao, Asuka Ishikawa, Ryuji Tamura, Satoshi Ohhashi, Chang Liu, Ryo Yoshida
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advanced Science
Subjects:
deep neural networks
icosahedral quasicrystals
machine learning
phase‐identification
powder X‐ray diffraction
Online Access:https://doi.org/10.1002/advs.202304546

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