39 citations · 189 across the 10 of their papers we have counts for
10 papers
Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods
Rohan Nain, Philip M. Dee, Kipton Barros +2
A promising application of machine learning is the creation of low-cost surrogate models to mitigate computational bottlenecks in quantum many-body simulations. Here, we explore wh…
Optimizing the Critical Temperature and Superfluid Density of a Metal-Superconductor Bilayer
Yutan Zhang, Philip M. Dee, Benjamin Cohen-Stead +3
A promising path to realizing higher superconducting transition temperatures is the strategic engineering of artificial heterostructures. For example, quantum materials could…
Charge correlations suppress unconventional pairing in the Holstein model
Philip M. Dee, Benjamin Cohen-Stead, Steven Johnston +1
In a recent work by Schrodi . [Phys. Rev. B. , L140506 (2021)], the authors find an unconventional superconducting state with a sign-changing order pa…
Nb-substitution suppresses the superconducting critical temperature of pressurized MoB
J. Lim, S. Sinha, A. C. Hire +9
A recent work has demonstrated that MoB, transforming to the same structure as MgB (), superconducts at temperatures above 30 K near 100 GPa [C. Pei . Natl…
High critical field superconductivity at ambient pressure in MoB stabilized in the P6/mmm structure via Nb substitution
A. C. Hire, S. Sinha, J. Lim +7
Recently it was discovered that, under elevated pressures, MoB exhibits superconductivity at a critical temperature, , as high as 32 K. The superconductivity appears to de…
Enhancing in a composite superconductor/metal bilayer system: a dynamical cluster approximation study
Philip M. Dee, Steven Johnston, Thomas Maier
It has been proposed that the superconducting transition temperature of an unconventional superconductor with a large pairing scale but strong phase fluctuations c…