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

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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Bibliographic Details
Main Authors: Linus Pithan, Vladimir Starostin, David Mareček, Lukas Petersdorf, Constantin Völter, Valentin Munteanu, Maciej Jankowski, Oleg Konovalov, Alexander Gerlach, Alexander Hinderhofer, Bridget Murphy, Stefan Kowarik, Frank Schreiber
Format: Article
Language:English
Published: International Union of Crystallography 2023-11-01
Series:Journal of Synchrotron Radiation
Subjects:
machine learning
reflectometry
autonomous experiments
beamline control
xrr
closed-loop control
Online Access:http://scripts.iucr.org/cgi-bin/paper?S160057752300749X

Internet

http://scripts.iucr.org/cgi-bin/paper?S160057752300749X

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