Contrasting Dynamic Spin Susceptibility Models and their Relation to High Temperature Superconductivity
H.-B. Schuttler, M. R. Norman

TL;DR
This paper compares two phenomenological models of spin susceptibility in high-temperature superconductors, showing that differences in their spectral weight distributions lead to significantly different predicted critical temperatures, impacting the understanding of the pairing mechanism.
Contribution
It demonstrates that the spectral weight distribution in spin susceptibility models critically influences the predicted superconducting transition temperature, highlighting the importance of experimental spectral data.
Findings
RULN model predicts lower T_c (~20K) than MMP (~100K) under similar conditions.
Differences in spectral weight distribution, not calculation methods, cause T_c discrepancies.
High-frequency spectral weight is essential for high T_c and low resistivity, questioning the validity of spin fluctuation exchange as the pairing mechanism.
Abstract
We compare the normal-state resistivities and the critical temperatures for superconducting pairing due to antiferromagnetic (AF) spin fluctuation exchange in the context of the two phenomenological dynamical spin susceptibility models, recently proposed by Millis, Monien, and Pines (MMP) and Monthoux and Pines (MP) and, respectively, by Radtke, Ullah, Levin, and Norman (RULN), for the cuprate high- materials. Assuming comparable electronic bandwidths and resistiviies in both models, we show that the RULN model gives a much lower d-wave (K) than the MMP model (with K). We demonstrate that these profound differences in the 's arise from fundamental differences in the spectral weight distributions of the two model susceptibilities and are {\it{not}} primarily caused by differences in the calculational techniques employed by…
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