Disorder-dependent superconducting pairing symmetry in doped graphene
Kaiyi Guo, Yue Zhang, Ying Liang, and Tianxing Ma

TL;DR
This study uses quantum Monte Carlo simulations to explore how disorder influences superconducting pairing symmetries in doped graphene, revealing density-dependent transitions between $d+id$ and extended $s$-wave pairings.
Contribution
It provides the first detailed analysis of disorder effects on pairing symmetry transitions in doped graphene within the Hubbard model.
Findings
High electron densities favor a transition from $d+id$ to extended $s$-wave pairing with increased disorder.
At low electron densities, neither pairing symmetry persists under strong disorder.
Disorder suppresses superconductivity at lower electron densities.
Abstract
Disorder and doping have profound effects on the intrinsic physical mechanisms of superconductivity. In this paper, we employed the determinant quantum Monte Carlo method to investigate the symmetry-allowed superconducting orders on the two-dimensional honeycomb lattice within the Hubbard model, using doped graphene as the carrier, focusing their response to bond disorder. Specifically, we calculated the pairing susceptibility and effective pairing interactions for the wave and extended -wave pairings for different electron densities and disorder strengths. Our calculations show that at high electron densities, increased disorder strength may lead to a transform from wave dominance to extended wave dominance. However, at lower electron densities, neither of the two superconducting pairings appears under larger disorder strength. Our calculations may contribute to a…
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