26 citations · 40 across the 8 of their papers we have counts for
3 papers · 1 filter
Advice on describing Bayesian analysis of neutron and X-ray reflectometry
Andrew R. McCluskey, Andrew J. Caruana, Christy J. Kinane +9
Driven by the availability of modern software and hardware, Bayesian analysis is becoming more popular in neutron and X-ray reflectometry analysis. The understandability and replic…
Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering
Alessandro Greco, Vladimir Starostin, Evelyn Edel +8
This work demonstrates the Python package mlreflect which implements an optimized pipeline for the automized analysis of reflectometry data using machine learning. The package comb…
Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Vladimir Starostin, Valentin Munteanu, Alessandro Greco +6
Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (G…