5 citations · 5 across the 1 of their papers we have counts for
5 papers
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…
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…
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…
Remarkable low-energy properties of the pseudogapped semimetal BePt
L. Fanfarillo, J. J. Hamlin, R. G. Hennig +7
We report measurements and calculations on the properties of the intermetallic compound BePt. High-quality polycrystalline samples show a nearly constant temperature dependence…
Functional Form of the Superconducting Critical Temperature from Machine Learning
S. R. Xie, G. R. Stewart, J. J. Hamlin +2
Predicting the critical temperature of new superconductors is a notoriously difficult task, even for electron-phonon paired superconductors for which the theory is relatively…