857 citations · 969 across the 5 of their papers we have counts for
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cond-mat.supr-con2019★ 9 cited
Influence of electron-phonon coupling strength on signatures of even and odd-frequency superconductivity
Alex Aperis, Eiaki Morooka, Peter M. Oppeneer
The recently discovered APtP (A=Sr,Ca,La) family of superconductors offers a platform to study frequency dependent superconducting phenomena as the electron-phonon coupling var…
cond-mat.mtrl-sci2019★ 857 cited
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka +5
DScribe is a software package for machine learning that provides popular feature transformations ("descriptors") for atomistic materials simulations. DScribe accelerates the applic…