Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering

The Python package mlreflect is demonstrated, which implements an optimized pipeline for the automated analysis of reflectometry data using machine learning. The package combines several training and data treatment techniques discussed in previous publications. The predictions made by the neural net...

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Detalles Bibliográficos
Autores principales: Greco, Alessandro, Starostin, Vladimir, Edel, Evelyn, Munteanu, Valentin, Rußegger, Nadine, Dax, Ingrid, Shen, Chen, Bertram, Florian, Hinderhofer, Alexander, Gerlach, Alexander, Schreiber, Frank
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/PMC8985606/
https://www.ncbi.nlm.nih.gov/pubmed/35497655
http://dx.doi.org/10.1107/S1600576722002230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985606/
https://www.ncbi.nlm.nih.gov/pubmed/35497655
http://dx.doi.org/10.1107/S1600576722002230

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