LaueNN: neural-network-based hkl recognition of Laue spots and its application to polycrystalline materials

A feed-forward neural-network-based model is presented to index, in real time, the diffraction spots recorded during synchrotron X-ray Laue microdiffraction experiments. Data dimensionality reduction is applied to extract physical 1D features from the 2D X-ray diffraction Laue images, thereby making...

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Detalles Bibliográficos
Autores principales: Purushottam Raj Purohit, Ravi Raj Purohit, Tardif, Samuel, Castelnau, Olivier, Eymery, Joel, Guinebretière, René, Robach, Odile, Ors, Taylan, Micha, Jean-Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348891/
https://www.ncbi.nlm.nih.gov/pubmed/35974740
http://dx.doi.org/10.1107/S1600576722004198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9348891/
https://www.ncbi.nlm.nih.gov/pubmed/35974740
http://dx.doi.org/10.1107/S1600576722004198

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