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cond-mat.supr-con2026
Ab-initio superfluid weight and superconducting penetration depth
Kaja H. Hiorth, Martin Gutierrez-Amigo, Théo Cavignac +3
Machine learning and high-throughput screening approaches to superconductor discovery require physically meaningful descriptors that capture essential physics while remaining compu…
cond-mat.supr-con2025
Machine Learning-Guided Discovery of Kagome Superconductors YRu3B2 and LuRu3B2
Rose Albu Mustaf, Sajilesh K. P., Sanu Mishra +9
We report the experimental discovery of bulk superconductivity in two kagome lattice compounds, YRuB and LuRuB, which were predicted through machine learning-accele…