Andi M. Barbour | DeepAI

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Featured Co-authors

Tatiana Konstantinova
4 publications
Phillip M. Maffettone
3 publications
Daniel Olds
3 publications
Stuart I. Campbell
3 publications
Lutz Wiegart
2 publications
Maksim Rakitin
2 publications
Anthony M. DeGennaro
2 publications
Bruce Ravel
2 publications

research

∙ 01/17/2022

Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution

Analysis of X-ray Photon Correlation Spectroscopy (XPCS) data for non-eq...

18 Tatiana Konstantinova, et al. ∙

research

∙ 01/09/2022

Machine learning enabling high-throughput and remote operations at large-scale user facilities

Imaging, scattering, and spectroscopy are fundamental in understanding a...

0 Tatiana Konstantinova, et al. ∙

research

∙ 02/07/2021

Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models

Like other experimental techniques, X-ray Photon Correlation Spectroscop...

1 Tatiana Konstantinova, et al. ∙