Lutz Wiegart

According to our database, Lutz Wiegart authored at least 5 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

Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning.

Mouyang Cheng, Bowen Yu, Chu-Liang Fu, Nina Andrejevic, Matthias T. Agne, Riley Hanus, Qiwei Wan, Nathan C. Drucker, Thanh Nguyen, Andrei Fluerasu, Lutz Wiegart, Xiaoqian M. Chen, Daniel Pajerowski, Yongqiang Cheng, Joshua J. Turner, G. Jeffrey Snyder, Mingda Li

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

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