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Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning
While machine learning has been making enormous strides in many technical areas, it is still massively underused in transmission electron microscopy. To address this, a convolutional neural network model was developed for reliable classification of crystal structures from small numbers of electron i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Association for the Advancement of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957330/ https://www.ncbi.nlm.nih.gov/pubmed/31976364 http://dx.doi.org/10.1126/sciadv.aaw1949 |