Interaction-enhanced nesting in spin-fermion and Fermi-Hubbard models

被引:0
|
作者
Rossi, R. [1 ,2 ]
Simkovic IV, F. [3 ,4 ]
Ferrero, M. [3 ,4 ]
Georges, A. [3 ,4 ,5 ,6 ]
Tsvelik, A. M. [7 ]
Prokof'ev, N., V [8 ]
Tupitsyn, I. S. [8 ]
机构
[1] Sorbonne Univ, CNRS, Lab Phys Theor Matiere Condensee, LPTMC, F-75005 Paris, France
[2] Ecole Polytech Fed Lausanne EPFL, Inst Phys, CH-1015 Lausanne, Switzerland
[3] Ecole Polytech, CPHT, CNRS, IP Paris, F-91128 Palaiseau, France
[4] Coll France, 11 Pl Marcelin Berthelot, F-75005 Paris, France
[5] Flatiron Inst, Ctr Computat Quantum Phys, 162 Fifth Ave, New York, NY 10010 USA
[6] Univ Geneva, DQMP, 24 Quai Ernest Ansermet, CH-1211 Geneva, Switzerland
[7] Brookhaven Natl Lab, Condensed Matter Phys & Mat Sci Div, Upton, NY 11973 USA
[8] Univ Massachusetts, Dept Phys, Amherst, MA 01003 USA
来源
PHYSICAL REVIEW RESEARCH | 2024年 / 6卷 / 03期
关键词
MONTE-CARLO; QUANTUM;
D O I
10.1103/PhysRevResearch.6.L032058
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The spin-fermion (SF) model postulates that the dominant coupling between low-energy fermions in near critical metals is mediated by collective spin fluctuations (paramagnons) peaked at the N & eacute;el wave vector, QN, connecting hot spots on opposite sides of the Fermi surface. It has been argued that strong correlations at hot spots lead to a Fermi surface deformation (FSD) featuring flat regions and increased nesting. This conjecture was confirmed in the perturbative self-consistent calculations when the paramagnon propagator dependence on momentum deviation from Q(N) is given by chi(-1) proportional to |Delta q|. Using diagrammatic Monte Carlo (diagMC) technique we show that such a dependence holds only at temperatures orders of magnitude smaller than any other energy scale in the problem, indicating that a different mechanism may be at play. Instead, we find that a chi-1 proportional to|Delta q|2 dependence yields a robust finite-T scenario for achieving FSD. To link phenomenological and microscopic descriptions, we applied the connected determinant diagMC method to the (t - t') Hubbard model and found that at large U/t > 5.5 before the formation of electron and hole pockets (i) the FSD defined as a maximum of the spectral function is not very pronounced; instead, it is the lines of zeros of the renormalized dispersion relation that deforms toward nesting, and (ii) the static spin susceptibility is well described by chi(-1) proportional to |Delta q|(2). Flat FS regions yield a nontrivial scenario for realizing a non-Fermi liquid state.
引用
收藏
页数:5
相关论文
共 47 条
  • [31] Effect of spin structures and nesting on the shape of the Fermi surface and pseudogap anisotropy in the t-t′-U Hubbard models
    Ovchinnikov, AA
    Ovchinnikova, MY
    JOURNAL OF EXPERIMENTAL AND THEORETICAL PHYSICS, 2004, 98 (03) : 546 - 555
  • [32] Parallelized traveling cluster approximation to study numerically spin-fermion models on large lattices
    Mukherjee, Anamitra
    Patel, Niravkumar D.
    Bishop, Chris
    Dagotto, Elbio
    PHYSICAL REVIEW E, 2015, 91 (06):
  • [33] Simple exact solutions of one-dimensional finite-chain hard-core Bose-Hubbard and Fermi-Hubbard models
    Pan, F
    Draayer, JP
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2000, 33 (49): : 9095 - 9100
  • [34] Calculation of dynamical and many-body observables for spin-fermion models using the polynomial expansion method
    Alvarez, G
    Schulthess, TC
    PHYSICAL REVIEW B, 2006, 73 (03)
  • [35] From antiferromagnetic ordering to magnetic textures in the two-dimensional Fermi-Hubbard model with synthetic spin-orbit interactions
    Minar, Jiri
    Gremaud, Benoit
    PHYSICAL REVIEW B, 2013, 88 (23)
  • [36] Modal Interaction-Enhanced Prompt Learning by Transformer Decoder for Vision-Language Models
    Liu, Mingyue
    Zhao, Honggang
    Ma, Longfei
    Li, Xiang
    Ji, Yucheng
    Li, Mingyong
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, PT IV, KSEM 2023, 2023, 14120 : 163 - 174
  • [37] Modal interaction-enhanced prompt learning by transformer decoder for vision-language models
    Liu, Mingyue
    Zhao, Honggang
    Ma, Longfei
    Li, Mingyong
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2023, 12 (02)
  • [38] Modal interaction-enhanced prompt learning by transformer decoder for vision-language models
    Mingyue Liu
    Honggang Zhao
    Longfei Ma
    Mingyong Li
    International Journal of Multimedia Information Retrieval, 2023, 12
  • [39] Phase diagram, band structure and density of states in two-dimensional attractive Fermi-Hubbard model with Rashba spin-orbit coupling
    Han, Rui
    Yuan, Feng
    Zhao, Huaisong
    NEW JOURNAL OF PHYSICS, 2023, 25 (02):
  • [40] Magnetic-texture-driven charge pairing in the spin-fermion Hubbard model and superconductivity in the high-Tc cuprates -: art. no. 224512
    Marino, EC
    Neto, MBS
    PHYSICAL REVIEW B, 2002, 66 (22) : 1 - 12