Researchers Predict Muon Locations in Solids Within Minutes

Previously, determining where muons settle within complex solids demanded extensive computation time using density functional theory methods. Now, a new machine-learning framework called MEOWN delivers comparable accuracy in mere minutes. Validated against benchmark materials including MnSi and CaF2, this approach promises to accelerate research into superconductivity and magnetism through faster data analysis from muon spin rotation/relaxation experiments.