activity
20092026
most citedTowards high-throughput superconductor discovery via machine learning

223 citations · 971 across the 36 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cond-mat.supr-con2021★ 27 cited

Microscopic mechanism for fluctuating pair density wave

Chandan Setty, Laura Fanfarillo, P. J. Hirschfeld

In weakly coupled BCS superconductors, only electrons within a tiny energy window around the Fermi energy, , form Cooper pairs. This may not be the case in strong coupling sup…

cond-mat.supr-con2021★ 5 cited

Machine learning of superconducting critical temperature from Eliashberg theory

S. R. Xie, Y. Quan, A. C. Hire +11

The Eliashberg theory of superconductivity accounts for the fundamental physics of conventional electron-phonon superconductors, including the retardation of the interaction and th…

cond-mat.supr-con2021★ 2 cited

The role of orbital nesting in the superconductivity of Iron-based Superconductors

R. Fernández-Martin, M. J. Calderón, L. Fanfarillo +1

We analyze the magnetic excitations and the spin-mediated superconductivity in iron-based superconductors within a low-energy model that operates in the band basis but fully incorp…

cond-mat.supr-con2021★ 223 cited

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★ 8 cited

High pressure study of low-Z superconductor BeRe

J. Lim, A. C. Hire, Y. Quan +11

With , BeRe exhibits one of the highest critical temperatures among Be-rich compounds. We have carried out a series of high-pressure electrical resi…