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Quantum Monte Carlo study of the Hubbard model with next-nearest-neighbor hopping t': pairing and magnetism.
Yang, Shuhui; Ying, Tao; Li, Weiqi; Yang, Jianqun; Sun, Xiudong; Li, Xingji.
Affiliation
  • Yang S; School of Physics, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Ying T; School of Physics, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Li W; School of Physics, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Yang J; School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China.
  • Sun X; School of Physics, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Li X; School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China.
J Phys Condens Matter ; 33(11): 115601, 2021 Mar 17.
Article in En | MEDLINE | ID: mdl-33316793
ABSTRACT
Using the finite-temperature determinant quantum Monte Carlo (DQMC) algorithm, we study the pairing symmetries of the Hubbard Hamiltonian with next-nearest-neighbor (NNN) hopping t' on square lattices. By varying the value of t', we find that the d-wave pairing is suppressed by the onset of t', while the p + ip-wave pairing tends to emerge for low electron density and t' around -0.7. Together with the calculation of the anti-ferromagnetic and ferromagnetic spin correlation function, we explore the relationship between anti-ferromagnetic order and the d-wave pairing symmetry, and the relationship between ferromagnetic order and the p + ip-wave pairing symmetry. Our results may be useful for the exploration of the mechanism of the electron pairing symmetries, and for the realization of the exotic p + ip-wave superconductivity.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Phys Condens Matter Journal subject: BIOFISICA Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Phys Condens Matter Journal subject: BIOFISICA Year: 2021 Document type: Article