115 citations · 589 across the 28 of their papers we have counts for
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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…
cond-mat.mtrl-sci2008★ 5 cited
Density-functional description of superconducting and magnetic proximity effects across a tunneling barrier
Jorge Quintanilla, Klaus Capelle, Luiz N. Oliveira
A density-functional formalism for superconductivity {\em and} magnetism is presented. The resulting relations unify previously derived Kohn-Sham equations for superconductors and…