448 citations · 1.8k across the 31 of their papers we have counts for
21 papers · 1 filter
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…
Recent advances in high-throughput superconductivity research
J. Yuan, V. Stanev, C. Gao +2
Superconducting materials find applications in a rapidly growing number of technological areas, and searching for novel superconductors continues to be a major scientific task. How…
High-throughput investigation of tunable superconductivity in FeSe films
Zhongpei Feng, Jie Yuan, Jun Li +19
There is an ongoing debate about the relative importance of structural change versus doping charge carriers on the mechanism of superconductivity in Fe-based materials. Elucidating…
Machine learning modeling of superconducting critical temperature
Valentin Stanev, Corey Oses, A. Gilad Kusne +4
Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood;…
Hybridization of Higgs modes in a bond-density-wave state in cuprates
Zachary M. Raines, Valentin G. Stanev, Victor M. Galitski
Recently, several groups have reported observations of collective modes of the charge order present in underdoped cuprates. Motivated by these experiments, we study theoretically t…
Time-reversal symmetry breaking state in dirty three-band superconductor
Valentin Stanev
I study the effects of disorder on the superconductivity of a three-band model with repulsive interband pairing. Such a model can support several possible superconducting order par…