Electron affinity difference distributions guide the discovery of the superconductor PtPbBi
This paper introduces an interpretable Gaussian process model called GP-, which utilizes electron-affinity difference distributions to predict superconducting transition temperatures, successfully validating its approach on nickelates and experimentally discovering a new superconductor, PtPbBi, with a critical temperature of approximately 3 K.