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Found 3 papers, 1 papers with code
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
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, an underdetermined inverse problem.
Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
Our focus lies on the beamline integration of ML-based online data analysis and closed-loop feedback.
Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells.
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