63 citations · 493 across the 23 of their papers we have counts for
3 papers · 1 filter
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 Rakitin +2
Analysis of X-ray Photon Correlation Spectroscopy (XPCS) data for non-equilibrium dynamics often requires manual binning of age regions of an intensity-intensity correlation functi…
Machine learning enabling high-throughput and remote operations at large-scale user facilities
Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel +3
Imaging, scattering, and spectroscopy are fundamental in understanding and discovering new functional materials. Contemporary innovations in automation and experimental techniques…
Emergence of spinons in layered trimer iridate Ba4Ir3O10
Y. Shen, J. Sears, G. Fabbris +13
Spinons are well-known as the elementary excitations of one-dimensional antiferromagnetic chains, but means to realize spinons in higher dimensions is the subject of intense resear…