22 citations · 22 across the 1 of their papers we have counts for
3 papers
cond-mat.supr-con2021
Towards high-throughput superconductor discovery via machine learning
Stephen R. Xie, Y. Quan, Ajinkya Hire +5
Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner a…
cond-mat.supr-con2021★ 22 cited
Superconducting Chevrel phase PbMoS from first principles
Giovanni Marini, Antonio Sanna, Camilla Pellegrini +3
Chevrel ternary superconductors show an intriguing coexistence of molecular aspects, large electron-phonon and electron-electron correlations, which to some extent still impedes th…
cond-mat.supr-con2020
Ab initio theory of plasmonic superconductivity within the Eliashberg and density-functional formalisms
A. Davydov, A. Sanna, C. Pellegrini +3
We extend the two leading methods for the \emph{ab initio} computational descrip tion of phonon-mediated superconductors, namely Eliashberg theory and density fu nctional theory fo…