Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Recently, there has been significant interest in applying machine-learning (ML) techniques to the automated analysis of X-ray scattering experiments, due to the increasing speed and size at which datasets are generated. ML-based analysis presents an important opportunity to establish a closed-loop f...

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Detalles Bibliográficos
Autores principales: Pithan, Linus, Starostin, Vladimir, Mareček, David, Petersdorf, Lukas, Völter, Constantin, Munteanu, Valentin, Jankowski, Maciej, Konovalov, Oleg, Gerlach, Alexander, Hinderhofer, Alexander, Murphy, Bridget, Kowarik, Stefan, Schreiber, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624034/
https://www.ncbi.nlm.nih.gov/pubmed/37850560
http://dx.doi.org/10.1107/S160057752300749X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624034/
https://www.ncbi.nlm.nih.gov/pubmed/37850560
http://dx.doi.org/10.1107/S160057752300749X

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