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Deep Learning Enables Rapid Identification of a New Quasicr..:
Hirotaka Uryu
;
Tsunetomo Yamada
;
Koichi Kitahara
...
https://doi.org/10.1002/advs.202304546. , 2024
Link:
https://doi.org/10.1002/advs.202304546
RT Journal T1
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:fb5ad7241ef54a9d8f6fe4fef0ac9c3e&Exemplar=1&LAN=DE A1 Hirotaka Uryu A1 Tsunetomo Yamada A1 Koichi Kitahara A1 Alok Singh A1 Yutaka Iwasaki A1 Kaoru Kimura A1 Kanta Hiroki A1 Naoya Miyao A1 Asuka Ishikawa A1 Ryuji Tamura A1 Satoshi Ohhashi A1 Chang Liu A1 Ryo Yoshida PB Wiley YR 2024 K1 deep neural networks K1 icosahedral quasicrystals K1 machine learning K1 phase‐identification K1 powder X‐ray diffraction K1 Science K1 Q JF https://doi.org/10.1002/advs.202304546 LK http://dx.doi.org/https://doi.org/10.1002/advs.202304546 DO https://doi.org/10.1002/advs.202304546 SF ELIB - SuUB Bremen
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