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Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy
Electron energy loss spectroscopy (EELS) is a well established technique in electron microscopy that yields information on the elemental content of a sample in a very direct manner. One of the persisting limitations of EELS is the requirement for manual identification of core-loss edges and their co...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444881/ https://www.ncbi.nlm.nih.gov/pubmed/37608067 http://dx.doi.org/10.1038/s41598-023-40943-7 |