Andi M. Barbour

According to our database, Andi M. Barbour authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Fully Convolutional Approach to Denoising Structural Dynamics Data from X-Ray Photon Correlation Spectroscopy.

Nisar Nellikunnummel, Andi M. Barbour, Lutz Wiegart, Tatiana Konstantinova, Anthony M. DeGennaro

CoRR, May, 2026

2024

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

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2022

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

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

Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel, Stuart I. Campbell, Andi M. Barbour, Daniel Olds

CoRR, 2022

2021

Outlook for artificial intelligence and machine learning at the NSLS-II.

Stuart I. Campbell, Daniel B. Allan, Andi M. Barbour, Daniel Olds, Maksim S. Rakitin, Reid Smith, Stuart B. Wilkins

Mach. Learn. Sci. Technol., 2021

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