7 citations · 23 across the 4 of their papers we have counts for
4 papers
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…
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…
First order valence transition: Neutron diffraction, inelastic neutron scattering and x-ray absorption investigations on the double perovskite Ba2PrRu0.9Ir0.1O6
J. Sannigrahi, D. T. Adroja, C. Ritter +8
Bulk studies have revealed a first-order valence phase transition in BaPrRuIrO (), which is absent in the parent compounds with (Pr…
Spin interactions and magnetic order in the iron oxychalcogenides BaFe2Q2O
B. D. Coles, A. D. Hillier, F. C. Coomer +3
The ability to tune the iron chalcogenides BaFe2Q3 from Mott insulators, to metals and then superconductors with applied pressure has renewed interest in low-dimensional iron chalc…