Pairing glue in cuprate superconductors from the self-energy revealed via machine learning
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DOI: 10.1103/physrevb.101.180510
Abstract: Recently, machine learning was applied to extract both the normal and the anomalous components of the self-energy from photoemission data at the antinodal points in Bi- based cuprate high-temperature superconductors[Y. Yamajiet al.,arXiv:1903.08060]. It was argued… read more here.
Keywords: pairing glue; glue cuprate; energy; self energy ... See more keywords