8 citations · 18 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2021★ 4 cited
Joint machine learning analysis of muon spectroscopy data from different materials
T. Tula, G. Möller, J. Quintanilla +6
Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is parti…
physics.atom-ph2021★ 8 cited
Laser Spectroscopy of the yP states of Cr I
E. B. Norrgard, D. S. Barker, S. P. Eckel +5
Here we report measured and calculated values of decay rates of the 3d(D)4s4p(P)\ yP states of Cr I. The decay rates are measured usin…
cond-mat.mtrl-sci2020★ 6 cited
Machine Learning approach to muon spectroscopy analysis
T. Tula, G. Möller, J. Quintanilla +6
In recent years, Artificial Intelligence techniques have proved to be very successful when applied to problems in physical sciences. Here we apply an unsupervised Machine Learning…