15 citations · 16 across the 3 of their papers we have counts for
4 papers
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…
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…
Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks
Alessandro Greco, Vladimir Starostin, Christos Karapanagiotis +6
X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. In this study, we show how a simple a…
Polymorphism in -sexithiophene crystals: Relative stability and transition path
Bernhard Klett, Caterina Cocchi, Linus Pithan +2
We present a joint theoretical and experimental study to investigate polymorphism in -sexithiophene (6T) crystals. By means of density-functional theory calculations, we clarify…