5 citations · 10 across the 2 of their papers we have counts for
6 papers
Data-Augmentation for Graph Neural Network Learning of the Relaxed Energies of Unrelaxed Structures
Jason B. Gibson, Ajinkya C. Hire, Richard G. Hennig
Computational materials discovery has continually grown in utility over the past decade due to advances in computing power and crystal structure prediction algorithms (CSPA). Howev…
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…
A15 NbSi -- A "high" Tc superconductor synthesized at a pressure of one megabar and metastable at ambient conditions
Jinhyuk Lim, J. S. Kim, Ajinkya C. Hire +6
A15 NbSi is, until now, the only high temperature superconductor produced at high pressure (~110 GPa) that has been successfully brought back to room pressure conditions in a m…
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…