Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models. - Tatiana Konstantinova; Lutz Wiegart; Maksim S. Rakitin; Anthony M. DeGennaro; Andi M. Barbour (CoRR, 2021)

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 S. Rakitin; Anthony M. DeGennaro; Andi M. Barbour (CoRR, 2022)

Bluesky and Raydata: An Integrated Platform for Adaptive Experiment Orchestration. - Hiran Wijesinghe; Andi M. Barbour; Lutz Wiegart; Evan Carlin; Joshua Einstein-Curtis; Paul Moeller; Robert Nagler; Raven O'Rourke; Nathan Cook; Maksim S. Rakitin (SC Workshops, 2024)