Superconductivity in bilayer $t$-$t'$ Hubbard models
Akito Iwano, Youhei Yamaji

TL;DR
This study uses variational Monte Carlo simulations on a bilayer $t$-$t'$ Hubbard model to investigate the effects of adjacent layers on superconductivity, finding that layers do not significantly enhance the optimal transition temperature.
Contribution
It provides evidence that adjacent layers in bilayer cuprates do not contribute to increased $T_c^{ m opt}$, challenging previous assumptions about layer effects on superconductivity.
Findings
Superconducting correlations are not enhanced in bilayer compared to single-layer models.
Superconducting correlations are smaller in the overdoped region due to van Hove singularity.
Amplitude of the superconducting gap functions is similar in single-layer and bilayer models at optimal doping.
Abstract
The relationship between crystal structures and superconducting critical temperatures has attracted considerable attention as a clue to designing higher- superconductors. In particular, the relationship between the number of CuO layers in a unit cell of cuprate superconductors and the optimum superconducting transition temperature is intriguing. As experimentally observed in layered cuprates, increases when is increased, up to , and, then, decreases for larger . However, the mechanism behind the dependence of remains elusive although there have been many studies on the dependence. In this paper, we studied a bilayer - Hubbard model to clarify the effects of the adjacent CuO layers on the stability of the superconductivity by using a many-variable variational Monte Carlo…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Superconductivity in MgB2 and Alloys · Theoretical and Computational Physics
