Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (2024)

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Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo

Y. F. Kung, C.-C. Chen, Yao Wang, E. W. Huang, E. A. Nowadnick, B. Moritz, R. T. Scalettar, S. Johnston, and T. P. Devereaux
Phys. Rev. B 93, 155166 – Published 29 April 2016
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Abstract

We characterize the three-orbital Hubbard model using state-of-the-art determinant quantum Monte Carlo (DQMC) simulations with parameters relevant to the cuprate high-temperature superconductors. The simulations find that doped holes preferentially reside on oxygen orbitals and that the (π,π) antiferromagnetic ordering vector dominates in the vicinity of the undoped system, as known from experiments. The orbitally-resolved spectral functions agree well with photoemission spectroscopy studies and enable identification of orbital content in the bands. A comparison of DQMC results with exact diagonalization and cluster perturbation theory studies elucidates how these different numerical techniques complement one another to produce a more complete understanding of the model and the cuprates. Interestingly, our DQMC simulations predict a charge-transfer gap that is significantly smaller than the direct (optical) gap measured in experiment. Most likely, it corresponds to the indirect gap that has recently been suggested to be on the order of 0.8 eV, and demonstrates the subtlety in identifying charge gaps.

  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (1)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (2)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (3)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (4)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (5)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (6)
  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (7)

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  • Received 20 January 2016
  • Revised 12 April 2016

DOI:https://doi.org/10.1103/PhysRevB.93.155166

©2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Physical Systems

High-temperature superconductors

  1. Techniques

Hubbard modelQuantum Monte Carlo

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Y. F. Kung1,2, C.-C. Chen3,4, Yao Wang2,5, E. W. Huang1,2, E. A. Nowadnick1,2,6, B. Moritz2,7, R. T. Scalettar8, S. Johnston9, and T. P. Devereaux2,10

  • 1Department of Physics, Stanford University, Stanford, California 94305, USA
  • 2Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Stanford, California 94305, USA
  • 3Advanced Photon Source, Argonne National Laboratory, Lemont, Illinois 60439, USA
  • 4Department of Physics, University of Alabama at Birmingham, Birmingham, Alabama 35294, USA
  • 5Department of Applied Physics, Stanford University, California 94305, USA
  • 6School of Applied and Engineering Physics, Cornell University, Ithaca, New York 14853, USA
  • 7Department of Physics and Astrophysics, University of North Dakota, Grand Forks, North Dakota 58202, USA
  • 8Department of Physics, University of California - Davis, Davis, California 95616, USA
  • 9Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
  • 10Geballe Laboratory for Advanced Materials, Stanford University, Stanford, California 94305, USA

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Vol. 93, Iss. 15 — 15 April 2016

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (12)

    Figure 1

    A copper dx2y2 orbital and its surrounding oxygen px or py orbitals are shown. The colors indicate the phase factors (blue for positive, red for negative).

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (13)

    Figure 2

    The average fermion sign is plotted versus filling for N=4,N=16, and N=36 at β=8eV1 and Upp=4.1 eV. In general, a larger system size results in a more severe sign problem.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (14)

    Figure 3

    The average fermion sign is plotted versus filling for different values of Udd and Upp at β=8eV1 and N=36. Reducing the interactions improves the sign problem and, in the case of Upp, can even flip which side of diagram has the more severe problem.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (15)

    Figure 4

    The average fermion sign is plotted versus filling for a range of temperatures for the (a) N=16 and (b) N=36 systems, with Upp=0 to access lower temperatures. Decreasing the temperature significantly decreases the average sign but preserves the direction of the particle-hole asymmetry. The partially protected fillings in the N=16 system become more pronounced with decreasing temperature.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (16)

    Figure 5

    The average fermion sign is plotted versus filling for different values of tpp to demonstrate the effect of decreasing the number of hopping pathways. Again, the particle-hole asymmetry is evident, as tpp=0 invariably enhances the average sign for hole doping more than it does for electron doping.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (17)

    Figure 6

    The double occupancy Dα versus filling on the copper and oxygen orbitals is shown for different temperatures, with N=36 and Upp=4.1 eV. It exhibits no significant system size or temperature dependence.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (18)

    Figure 7

    Kinetic energy of the holes versus filling for different temperatures in N=16 and N=36 systems, with Upp=4.1 and 0eV. The non-interacting kinetic energy (solid black line) is shown for comparison.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (19)

    Figure 8

    (a) The total filling curve shows a gap opening with decreasing temperature, with Upp=0 eV and N=16 to access the lowest possible temperatures. The inset shows the total filling for N=36,Upp=4.1 eV, and β=10eV1 and has the same axes. (b) The orbitally resolved fillings are shown for the same parameters as the inset in (a) and demonstrate that doped holes preferentially reside on oxygen atoms. As we are using the larger system size, the fermion sign is too small at certain chemical potentials to determine the filling; however, the solid lines indicate the trend that is consistent with results in smaller systems. A dashed line indicates the chemical potential corresponding to the undoped system.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (20)

    Figure 9

    The spin-spin correlation function is plotted versus filling for four different possible ordering vectors on the copper and oxygen (inset) orbitals. On copper, (π,π) antiferromagnetism dominates in the undoped system, decreasing with doping. The oxygen orbitals do not show signs of any particular spin order. Parameters used here are N=16,Upp=4.1 eV, and β=10eV1.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (21)

    Figure 10

    The copper spin-spin correlation function shows that q=(π,π) order is strengthened by increasing system size and decreasing temperature (Upp=0). The inset shows the finite size scaling at 0% doping and β=8eV1.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (22)

    Figure 11

    Nearest [SCu(1,0)] and next-nearest [SCu(1,1)] neighbor Cu-Cu spin-spin correlation function versus filling, with Upp=4.1eV and β=8eV1, showing the crossover from AFM to short-ranged FM correlations for N=16 and 36.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (23)

    Figure 12

    Density-density correlation function versus filling on the (a) copper and (b) oxygen orbitals for different ordering vectors with N=16 and Upp=0 (qualitatively similar results are obtained for Upp=4.1 eV). The system shows a slight tendency to (π,π) charge ordering on the electron-doped side on copper.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (24)

    Figure 13

    Density-density correlations between the copper and oxygen orbitals, and between the oxygen orbitals for different ordering vectors in a N=16,Upp=0 system (qualitatively similar results are obtained for Upp=4.1 eV).

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (25)

    Figure 14

    The orbitally-resolved spectral functions at (a) 0%, (b) 12.5%, (c) 25%, and (d) 37.5% hole doping illustrate the doping evolution of the lower Hubbard band (LHB), Zhang-Rice triplet (ZRT) band, nonbonding (NB) band, Zhang-Rice singlet (ZRS) band, and upper Hubbard band (UHB) in the N=16 system, where β=8eV1,tpp=0.49 eV, and Upp=4.1 eV. The insets show the density of states for each doping level, with the same frequency axis as the spectral functions.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (26)

    Figure 15

    The orbitally-resolved spectral functions at 12.5% hole doping are shown for high-symmetry cuts in the first Brillouin zone in the N=36 system, where β=8eV1,tpp=0.49 eV, and Upp=4.1eV.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (27)

    Figure 16

    The (a) copper and (b) oxygen spectral functions are calculated in the undoped system using DQMC, ED, and CPT. Despite the different system sizes and temperatures, the peak positions show reasonable agreement. With fine momentum resolution, CPT resolves the (c)band dispersion and (d) DOS in detail. In (c), the noninteracting bands are overlaid as dashed lines on the CPT band structure. In (d), the shading in the DOS indicates orbital content (red for copper, blue for oxygen) in the filled bands. For example, the color gradient in the ZRS band indicates the increasing copper content away from EF.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (28)

    Figure 17

    The filling versus chemical potential curves are shown on an N=4 cluster in order to access low temperatures to highlight the opening of a charge transfer gap. The inset shows an extrapolation of the gap size Δ to zero temperature.

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  • Characterizing the three-orbital Hubbard model with determinant quantum Monte Carlo (29)

    Figure 18

    Comparison of the (a) orbitally-resolved filling and (b) local moments on copper and oxygen, showing good quantitative agreement between DQMC and ED. The DQMC simulations are performed with N=16 and β=8eV1.

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