A CNN trained on model-generated ARPES spectra is used to claim that bilayer splitting in underdoped BSCCO does not decrease with underdoping, though the evidence is model-dependent and limited to two samples.
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Disentangling Coherent and Incoherent Effects in Superconductor Photoemission Spectra via Machine Learning
A CNN trained on model-generated ARPES spectra is used to claim that bilayer splitting in underdoped BSCCO does not decrease with underdoping, though the evidence is model-dependent and limited to two samples.