141 citations · 243 across the 8 of their papers we have counts for
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eess.SP2023
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
Valentin Munteanu, Vladimir Starostin, Alessandro Greco +5
Due to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental level, a…
physics.data-an2023★ 1 cited
Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
Linus Pithan, Vladimir Starostin, David Mareček +10
Recently, there has been significant interest in applying machine learning (ML) techniques to X-ray scattering experiments, which proves to be a valuable tool for enhancing researc…