Strongly Correlated Superconductivity: a plaquette Dynamical mean field theory study
Kristjan Haule, Gabriel Kotliar

TL;DR
This study employs cluster Dynamical Mean Field Theory with a plaquette approach to analyze correlated electron models, revealing critical doping points, Fermi surface topology changes, and improved insights into superconductivity and normal state properties.
Contribution
It introduces a plaquette-based DMFT framework to better understand the doping-dependent physics of the Hubbard and t-J models, improving upon previous theories.
Findings
Shortest electron lifetime near optimal doping
Identification of a second critical doping related to Fermi surface topology change
Enhanced description of momentum space anisotropy and superfluid density dependence
Abstract
We use cluster Dynamical Mean Field Theory to study the simplest models of correlated electrons, the Hubbard model and the t-J model. We use a plaquette embedded in a medium as a reference frame to compute and interpret the physical properties of these models. We study various observables such as electronic lifetimes, one electron spectra, optical conductivities, superconducting stiffness, and the spin response in both the normal and the superconducting state in terms of correlation functions of the embedded cluster. We find that the shortest electron lifetime occurs near optimal doping where the superconducting critical temperature is maximal. A second critical doping connected to the change of topology of the Fermi surface is also identified. The mean field theory provides a simple physical picture of three doping regimes, the underdoped, the overdoped and the optimally doped regime…
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