Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model
Abstract
We study the three-band Hubbard model for the copper oxide plane of the high-temperature superconducting cuprates using determinant quantum Monte Carlo and the dynamical cluster approximation (DCA) and provide a comprehensive view of the pairing correlations in this model using these methods. Specifically, we compute the pair-field susceptibility and study its dependence on temperature, doping, interaction strength, and charge-transfer energy. Using the DCA, we also solve the Bethe-Salpeter equation for the two-particle Green's function in the particle-particle channel to determine the transition temperature to the superconducting phase on smaller clusters. Our calculations reproduce many aspects of the cuprate phase diagram and indicate that there is an “optimal” value of the charge-transfer energy for the model where Tc is largest. Finally, these results have implications for our understanding of superconductivity in both the cuprates and other doped charge-transfer insulators.
- Authors:
-
[1];
[3];
[1]
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- ETH Zurich, Institute of Applied Physics, Switzerland
- Univ. of Tennessee, Knoxville, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1784123
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review B
- Additional Journal Information:
- Journal Volume: 103; Journal Issue: 14; Journal ID: ISSN 2469-9950
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Citation Formats
Mai, Peizhi, Balduzzi, Giovanni, Johnston, Steven, and Maier, Thomas. Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model. United States: N. p., 2021.
Web. doi:10.1103/physrevb.103.144514.
Mai, Peizhi, Balduzzi, Giovanni, Johnston, Steven, & Maier, Thomas. Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model. United States. https://doi.org/10.1103/physrevb.103.144514
Mai, Peizhi, Balduzzi, Giovanni, Johnston, Steven, and Maier, Thomas. Mon .
"Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model". United States. https://doi.org/10.1103/physrevb.103.144514. https://www.osti.gov/servlets/purl/1784123.
@article{osti_1784123,
title = {Pairing correlations in the cuprates: A numerical study of the three-band Hubbard model},
author = {Mai, Peizhi and Balduzzi, Giovanni and Johnston, Steven and Maier, Thomas},
abstractNote = {We study the three-band Hubbard model for the copper oxide plane of the high-temperature superconducting cuprates using determinant quantum Monte Carlo and the dynamical cluster approximation (DCA) and provide a comprehensive view of the pairing correlations in this model using these methods. Specifically, we compute the pair-field susceptibility and study its dependence on temperature, doping, interaction strength, and charge-transfer energy. Using the DCA, we also solve the Bethe-Salpeter equation for the two-particle Green's function in the particle-particle channel to determine the transition temperature to the superconducting phase on smaller clusters. Our calculations reproduce many aspects of the cuprate phase diagram and indicate that there is an “optimal” value of the charge-transfer energy for the model where Tc is largest. Finally, these results have implications for our understanding of superconductivity in both the cuprates and other doped charge-transfer insulators.},
doi = {10.1103/physrevb.103.144514},
journal = {Physical Review B},
number = 14,
volume = 103,
place = {United States},
year = {Mon Apr 19 00:00:00 EDT 2021},
month = {Mon Apr 19 00:00:00 EDT 2021}
}
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