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pro vyhledávání: '"Ishraque Zaman Borshon"'
Autor:
Ishraque Zaman Borshon, Marco Ragone, Abhijit H. Phakatkar, Lance Long, Reza Shahbazian-Yassar, Farzad Mashayek, Vitaliy Yurkiv
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract A novel approach is presented by integrating images-driven deep learning (DL) with high entropy oxides (HEOs) analysis. A fully convolutional neural network (FCN) is used to interpret experimental scanning transmission electron microscopy (S
Externí odkaz:
https://doaj.org/article/36b5de58823e4aa3992d6aed7e804769