2 papers
cond-mat.soft2021
Automated matching of two-time X-ray photon correlation maps from protein dynamics with Cahn-Hilliard type simulations using autoencoder networks
S. Timmermann, V. Starostin, A. Girelli +10
We use machine learning methods for an automated classification of experimental XPCS two-time correlation functions from an arrested liquid-liquid phase separation of a protein sol…
cond-mat.soft2019
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…