Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks

The ionization edges encoded in the electron energy loss spectroscopy (EELS) spectra enable advanced material analysis including composition analyses and elemental quantifications. The development of the parallel EELS instrument and fast, sensitive detectors have greatly improved the acquisition spe...

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Detalles Bibliográficos
Autores principales: Kong, Lingli, Ji, Zhengran, Xin, Huolin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789080/
https://www.ncbi.nlm.nih.gov/pubmed/36564412
http://dx.doi.org/10.1038/s41598-022-25870-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789080/
https://www.ncbi.nlm.nih.gov/pubmed/36564412
http://dx.doi.org/10.1038/s41598-022-25870-3

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