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4 papers
Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin +2
Analysis of X-ray Photon Correlation Spectroscopy (XPCS) data for non-equilibrium dynamics often requires manual binning of age regions of an intensity-intensity correlation functi…
Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin +2
Like other experimental techniques, X-ray Photon Correlation Spectroscopy is subject to various kinds of noise. Random and correlated fluctuations and heterogeneities can be presen…
Measurement of Ehrlich-Schwoebel barrier contribution to the self-organized formation of ordered surface patterns on Ge(001)
Peco Myint, Denise Erb, Xiaozhi Zhang +6
Normal incidence 1 keV Ar ion bombardment leads to amorphization and ultrasmoothing of Ge at room temperature, but at elevated temperatures the Ge surface remains crystalline a…
Coherent X-ray measurement of step-flow propagation during growth on polycrystalline thin film surfaces
Randall L. Headrick, Jeffrey G. Ulbrandt, Peco Myint +6
The properties of artificially grown thin films are strongly affected by surface processes during growth. Coherent X-rays provide an approach to better understand such processes an…