Classification of crystal structures using electron diffraction patterns with a deep convolutional neural network

Investigations have been made to explore the applicability of an off-the-shelf deep convolutional neural network (DCNN) architecture, residual neural network (ResNet), to the classification of the crystal structure of materials using electron diffraction patterns without prior knowledge of the mater...

Descripción completa

Detalles Bibliográficos
Autores principales: Ra, Moonsoo, Boo, Younggun, Jeong, Jae Min, Batts-Etseg, Jargalsaikhan, Jeong, Jinha, Lee, Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043913/
https://www.ncbi.nlm.nih.gov/pubmed/35493237
http://dx.doi.org/10.1039/d1ra07156d

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043913/
https://www.ncbi.nlm.nih.gov/pubmed/35493237
http://dx.doi.org/10.1039/d1ra07156d

Ejemplares similares