Machine learning for scattering data: strategies, perspectives and applications to surface scattering

Machine learning (ML) has received enormous attention in science and beyond. Discussed here are the status, opportunities, challenges and limitations of ML as applied to X-ray and neutron scattering techniques, with an emphasis on surface scattering. Typical strategies are outlined, as well as possi...

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Detalles Bibliográficos
Autores principales: Hinderhofer, Alexander, Greco, Alessandro, Starostin, Vladimir, Munteanu, Valentin, Pithan, Linus, Gerlach, Alexander, Schreiber, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Topical Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901926/
https://www.ncbi.nlm.nih.gov/pubmed/36777139
http://dx.doi.org/10.1107/S1600576722011566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901926/
https://www.ncbi.nlm.nih.gov/pubmed/36777139
http://dx.doi.org/10.1107/S1600576722011566

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