Abstract
Base on effective medium theory we introduce a multi sites method for calculation of realistic energy bands of strongly correlated systems. We found due to approximated self energy, the density of states that obtained directly by calculated local Green function does not reflects system energy bands truly. By using this method we investigated how electrons repulsion renormalizes graphene bands. Graphene realistic bands calculated in both the dynamical mean field theory (DMFT) and four sites beyond super cell approximation for different repulsions. Our calculated interacting graphene bands illustrate a semi metal to a Mott insulator anti ferromagnetic phase transition at repulsions and for DMFT and four sites beyond super cell approximation respectively. These values are much less than finite size quantum Monte Carlo calculation prediction. We showed that the graphene bands are very sensitive to electrons repulsions and this phase transition happens at low repulsions in comparison to graphene band width.
Subject terms: Materials science, Nanoscience and technology, Physics
Introduction
Strongly Correlated electrons are responsible for notable properties such as unconventional high superconductivity, charge strips in cuprate, magnetites where A and are rare earth and alkali earth elements respectively, nikelates , Mott transitions and quantum critical phenomena1–6. Transition metal oxides are a class of materials that electron–electron Coulomb repulsion in their valance d-wave orbitals is strong. Conventional single electron band theories break down for these systems. Although theoretical calculations of these systems properties are hard but their applications is wide7. How electron–electron Coulomb repulsion modifies electronic band structure of these systems is a big change in strongly correlated systems. Usually in the calculations of physical quantities of such systems two different methods finite size approximation8–15 and effective medium theory are using16–25. For a honeycomb graphene lattice by using Hubbard model with on site electrons repulsion and a finite size quantum Monte Carlo calculations for a non magnetic semi metallic to an anti ferromagnetic insulator phase transition predicted26–28.
In the effective medium theories the electron–electron interaction effects replaces by an effective medium that identifies by a self energy . However self energy changes non interacting band structure to renormalized band structure . In general for most of these systems, self energy could not calculated exactly. One of main problem in condensed matter physics is choosing type of approximation in the self energy calculations. For weak interaction Hartree Fock approximation that is a mean field approximation widely used29. Dynamical mean field theory (DMFT) is a single site approximation widely used for any interaction strength u16,17. In the DMFT inter sites correlation is neglected. Multi sites, Nc, dynamical cluster approximation (DCA) for including multi sites correlation is introduced18–21. Although they claimed that DCA recovers exact self energy in the limit of but their inverse Fourier transform definition of K-space Green function and self energy dose not lead to real space Dyson equation22. The DCA coarse grained self energies are step functions in the first Brillouin zone that are discontinuous at their grain boundaries. Effective medium super cell approximation (EMSCA)23–25 for disorder systems introduced. In the EMSCA relation between real space and k-space grained self energies are and where in the limit both of them recovers exact k-space and real space self energies. For eliminating discontinuities of k-space self energies in the first Brillouin zone we introduce another relation which in the limit recovers both DMFT and exact self energies. Another main problem of approximated self energies is creating fake electronic states that should be eliminated. This problem solved by equating Dirac delta function shape of k-space density of states at its mth maximum with mth band energy . Note that number of k-space density of states maximums in terms of energy identifies number of contributed bands. We apply this method to a correlated graphene system. In contrast to the finite size quantum Monte Carlo predictions26–28, our results show that graphene bands are very sensitive to electrons Coulomb repulsion, hence a semi metal to a Mott insulator phase transition occurs at very low repulsions in comparison to graphene band width.
Model Hamiltonian and solution of equation of motion
We start our investigation by a Hubbard model for a strongly correlated system which is given by,
| 1 |
where () is the creation (annihilation) operator of an electron with spin on sub site of lattice site i and is the electrons number operator. are the hopping integrals between sub site of i and sub site of j lattice sites. is the chemical potential. Nearest neighbors hoping integral is
In the imaginary time , the equation of motion for electrons corresponding to the above Hamiltonian, Eq. (1), is given by,
| 2 |
where is a spin space unit matrix, and two particle Green function defined by
| 3 |
The single particle equation of motion corresponding to Eq. (2) in the effective medium theory is given by
| 4 |
where self energy matrix defined by
| 5 |
In the real and spin spaces the following relation between interacting single particle Green function , average single particle Green function and two particle Green function obtains from Eqs. (2) and (5)
| 6 |
For solving Eq. (6) we introduce effective medium super cell approximation (EMSCA). In this approximation the interacting system divides into super cells with original lattice symmetries. Process steps of EMSCA illustrated in Fig. 1. First we keep one interacting super cell called impurity super cell that its sites denotes by and replace all other super cells by effective medium super cells that schematically illustrated in Fig. 1b. Then by taking average over impurity super cell we obtain average super cell physical properties that illustrated in Fig. 1c.
Figure 1.
Shows (a–d) interacting system, taking average except on impurity super cell, average of impurity super cell respectively.
By applying EMSCA to the interacting system, Eq. (6) reduces to25
| 7 |
Equation (7) could be written as
| 8 |
Equation (8) could be separated into two following equations
| 9 |
and
| 10 |
where is called super cell cavity Green function with no interaction on its sites. Equations (9) and (10) imply that our interacting calculations reduced to a super cell. Super cell average of Eq. (10) leads to Eq. (9) where
| 11 |
Another way for deriving Eqs. (9) and (10) is applying effective medium super cell approximation (EMSCA) to the interacting system total action, S, in the following partition function Z,
| 12 |
where are system eigen states. Partition function Eq. (12) could be written as
| 13 |
where , , , and S is action defined by
| 14 |
in which interaction action is
| 15 |
where and are Grassmann variables that obey Grassmann algebra. By substitution in Eq. (14) we have
| 16 |
where
| 17 |
Relation between non interacting Green function and effective medium average Green function is the following Dyson equation
| 18 |
By imaginary time Fourier transform of Dyson Eq. (18) we have
| 19 |
Equation (19) denotes by
| 20 |
By substitution Eq. (20) in the action Eq. (14) we have
| 21 |
Now we apply EMSCA that keeping interaction in the central super cell and replaces others by effective medium super cell self energies
| 22 |
where imaginary time real space cavity Green function matrix defined by
| 23 |
By inverse imaginary Fourier transform of Eq. (23) we have
| 24 |
By imaginary time Fourier transform of first and third terms of right hand side of Eq. (22) we have
| 25 |
where the central super cell interacting action is
| 26 |
and effective medium action is defined by
| 27 |
So partition function in this approximation is product of central impurity super cell and medium where
| 28 |
To complete loop of super cell single particle average Green function calculations by Eqs. (9), (10) and (11) methods such as exact diagonalization, quantum Monte Carlo could be used to obtain super cell interacting action and in terms of super cell single particle impurity Green function and super cell self energies . Here we use quantum Monte Carlo method.
Quantum Monte Carlo method for calculation
To solve Eq. (10) we should find the super cell impurity Green function in terms of super cell single particle Green function . To do this here we use following Hubbard–Stratonovich transformation17,21. By dividing imaginary time into M small portions and using Hubbard–Stratonovich transformation it is possible to convert action to Ising like fields17,21 hence impurity super cell two particle Green function into production of an Ising like fields17,21 and
| 29 |
where
| 30 |
and . On the sites of the cavity super cell sites Coulomb interaction between electrons does not exist, therefore there is no correlation between spin up and down electrons. Hence all its and components are zero
| 31 |
and . By inserting Eqs. (30) and (31) into Eq. (29) we have , hence Eq. (29) separates into two equations for spin up and spin down electrons with imaginary time Fourier transform
| 32 |
where
| 33 |
in which is Kronecker delta function.
In the actual calculation of imaginary time discretized of Eq. (32) the following form are using17
| 34 |
where is a diagonal matrix in imaginary time space. Average over all possible Ising fields configurations of each site in the super cell Green function gives us super cell real space average Green function
| 35 |
Inverse imaginary Fourier transform of Eq. (35) given by
| 36 |
Real space and k-space self energies and Green functions in the EMSCA
Deriving process of k-space and real space self energy and average Green function EMSCA is as follows. We divide the k-space self energy in to two terms, first term comes from all real space self energies that both i and j sites are inside same super cell and second term including all self energies that i and j sites are inside different super cells
| 37 |
in which
| 38 |
where and l are integer numbers. , and are super cell lengths as illustrated in Fig. 1. By substitution Eq. (38) in Eq. (37) we have
| 39 |
Born–von Karman periodicity condition along lattice lengths implies that
| 40 |
For other lattice lengths we have
| 41 |
and
| 42 |
Since , , are integer numbers we have
| 43 |
The wave vectors that satisfying Eq. (43) simultaneously are
| 44 |
where and are integer numbers. and are reciprocal primitive vectors such that remains in the FBZ. Number of permitted wave vectors in Eq. (44) are . These wave vectors called coarse grain wave vectors and denoted by
| 45 |
By real space Fourier transformation of and using Eq. (43) it is easy to show
| 46 |
hence Eq. (37) converts to
| 47 |
So in the FBZ we have different self energies . Relation between super cell real space self energy and -space is
| 48 |
Now by dividing FBZ to regions with FBZ symmetry we apply coherent potential approximation formalism to each region that means for all wave vectors in the nth region self energy values are equal. Figure 2 illustrates four small regions in the graphene first Brillouin zone (FBZ) corresponding to four sites super cell .
Figure 2.

Shows four coarse grain regions of a hexagonal lattice for a four site super cell .
For graphene reciprocal primitive vectors are
| 49 |
where is nearest neighbors carbon–carbon distance. Hence for this case its coarse Green wave vectors are
| 50 |
Equation (48) implies that for each in the nth region
| 51 |
By applying Eq. (51) to the Green function we have
| 52 |
where
| 53 |
Algorithm for implementation of method is as follows:
A initial guess for self energy usually 0.
- calculating coarse Green function from
54 Calculate cavity Green function from .
- Real space and imaginary time Fourier transformation
55 Calculate real space super cell from Eq. (34).
Calculate real space super cell average Green function by .
- Calculate and Fourier transform of average Green function by
56 Calculate new self energy from .
Go to step 2 and repeat whole process until convergence.
Analytical continuation of self energy to obtain .
Calculate .
Realistic band structure calculation
Process of extracting band structure from calculated and are as follows. The exact k-space single particle effective Green function is
| 57 |
where are non interacting bands. On the other hand relation between exact effective Green function and effective band structure is
| 58 |
For an exact effective medium system with whole lattice sites, imaginary part of self energy goes to zero, , so the effective band structures obtain from poles of effective Green function Eq. (57)16
| 59 |
In general, effective medium self energy can not be calculated exactly. Single site dynamical mean field theory (DMFT) with k-independent self energy is lower approximation. Self energy in the cluster sites approximations such as dynamical cluster approximation (DCA) and effective medium super cell approximation (EMSCA) are step functions, , that inside each m grain in the first Brillouin zone is continuous but at grain boundaries are discontinuous. Although density of states could be calculated from calculated local Green function but self energies discontinuities makes it impossible to calculate renormalized band structure. Another important problem of these approximations is creating fake electronic states which leads to . One expect by increasing number of sites in the cluster number of fake states decrease. Relation between mth band energy at wave vector , , and its k-space density of states is
| 60 |
that has a Dirac delta function feature at . One can use this to extract real states eigen values and eliminate fake states. So we should find maximums of calculated density of states, ,
| 61 |
Figure 3 shows this. To reveal advantage of presented method we calculate renormalized graphene bands by DMFT and four sites, , beyond super cell approximation for different electrons Coulomb repulsions.
Figure 3.

Shows real states eigen values of calculated density of states are maximums of . Other states are fake that should be eliminated.
Results and discussion
Now we apply our method to a graphene interacting system with two different cluster sizes (DMFT) and for different on site electrons repulsions at anti ferromagnetic half band filling , and and . Note that for this case spin up and down average Green functions are equal . Figure 4 shows calculated interacting graphene imaginary time self consistent average Green function in terms of for two cluster sites and for different electrons repulsion interactions. For cluster sites the inter sites correlation correction with respect to DMFT is obviously seen. By inserting calculated in Eq. (36) and analytical continuation the hence obtained. Then energy of each maximum of this calculated density of states corresponds to one of bands energies.
Figure 4.
Shows calculated interacting graphene imaginary time average Green function by DMFT and super cell approximation for different electrons Coulomb repulsion at half band filling , and .
First we calculate realistic band structure of this system in the DMFT. Figure 5 shows calculated realistic two bands for and 2.8t in which the fake states are eliminated. To high light advantage of our method we compared the direct DMFT calculated density of states N(E) with density of states obtained from calculated realistic valance and conduction bands. Our results show that by increasing electrons energy repulsion u valance and conduction bands separated but steel valance band is completely full by both spin up and down electrons while conduction band is empty. Our results show that in the DMFT the critical value of repulsion to have a semi metal to an anti ferromagnetic Mott phase transition is . To see effects of multi sites correlation on band structure and density of states for and 1t first we applied four sites effective medium super cell approximation to obtain super cell self energy and 23–25. Then we approximate -space self energy that is continuous in the first Brillouin zone by . By substitution this calculated in Eq. (61) all bands could be calculated. For these cases Fig. 6 illustrate calculated realistic bands and comparison of dos obtained from calculated realistic bands and dos obtained directly from calculated super cell local effective Green function . Our results show that in this repulsion energy spin up and down bands are not separated but for repulsions a ferromagnetic semi metal to insulator happened. This is known as anti ferromagnetic Mott insulator phase transition. Comparison of calculated dos from realistic bands and calculated directly from local Green function justifies that our method gives us significant correct results.
Figure 5.
Shows DMFT calculated graphene realistic valance and conduction bands for and 2.8t respectively. The critical repulsion value for an anti ferromagnetic semi metal to an anti ferromagnetic insulator phase transition is . In the valance and conduction bands are separated but spin up and down bands still are not separated. dos obtained from calculated realistic bands compared with dos obtained directly from DMFT local Green function. We see advantage of our method.
Figure 6.
Shows beyond super cell approximation calculated realistic bands for repulsion energy . For a semi metal to anti ferromagnetic phase transition occur. dos obtained from realistic bands with dos obtained from calculated local Green function compared.
Conclusion
For strongly correlated systems we introduced a method for calculation of continues self energy in the whole first Brillouin zone that allows us to calculate renormalized band structure. By using this method the realistic renormalized band structure of Hubbard model of an interacting electrons graphene lattice obtained. Our results show that graphene bands are sensitive to electrons Coulomb repulsion even at low repulsions. Until now people taught that all states obtained by approximated self energies even by DMFT are acceptable but we proved that this method should be corrected to complete band structure calculation process. Our method and results open new perspective on physics of strongly correlated system.
Author contributions
R.M. proposed the idea and the analytical derivation and R.M. and P.R. carried out the numerical calculations. R.M. analyzed the results and wrote the article.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Lee PA, Nagaosa N, Wen X-G. Doping a Mott insulator: Physics of high-temperature superconductivity. Rev. Mod. Phys. 2006;78:17–85. doi: 10.1103/RevModPhys.78.17. [DOI] [Google Scholar]
- 2.Tokura Y, Tomioka Y. Colossal magnetoresistive manganites. J. Magn. Magn. Mater. 1999;200:1–23. doi: 10.1016/S0304-8853(99)00352-2. [DOI] [Google Scholar]
- 3.Schilling A, Cantoni M, Guo JD, Ott HR. Superconductivity above 130 K in the Hg-Ba-Ca-Cu-O system. Nature. 1993;363:56–58. doi: 10.1038/363056a0. [DOI] [Google Scholar]
- 4.Heber J. Enter the oxides. Nature. 2009;459:28. doi: 10.1038/459028a. [DOI] [PubMed] [Google Scholar]
- 5.Tokura Y. Correlated-electron physics in transition-metal oxides. Phys. Today. 2003;56:50–55. doi: 10.1063/1.1603080. [DOI] [Google Scholar]
- 6.Tokura Y. Orbital physics in transition-metal oxides. Science. 2000;288:462–468. doi: 10.1126/science.288.5465.462. [DOI] [PubMed] [Google Scholar]
- 7.Kotov VN, Uchoa B, Pereira VM, Guinea F, Castro Neto AH. Electron-electron interactions in graphene: Current status and perspectives. Rev. Mod. Phys. 2012;84:1067. doi: 10.1103/RevModPhys.84.1067. [DOI] [Google Scholar]
- 8.Scalapino DJ, Sugar RL. Method for performing Monte Carlo calculations for systems with fermions. Phys. Rev. Lett. 1981;46:519. doi: 10.1103/PhysRevLett.46.519. [DOI] [Google Scholar]
- 9.Blankenbecler R, Scalapino DJ, Sugar RL. Monte Carlo calculations of coupled boson-fermion systems. Phys. Rev. D. 1981;24:2278. doi: 10.1103/PhysRevD.24.2278. [DOI] [Google Scholar]
- 10.Hirsch JE. Two-dimensional Hubbard model: Numerical simulation study. Phys. Rev. B. 1985;31:4403. doi: 10.1103/PhysRevB.31.4403. [DOI] [PubMed] [Google Scholar]
- 11.Hirsch JE. Simulations of the three-dimensional Hubbard model: Half-filled band sector. Phys. Rev. B. 1987;35:1851. doi: 10.1103/PhysRevB.35.1851. [DOI] [PubMed] [Google Scholar]
- 12.Hirsch JE. Simulations of the Hubbard model. J. Stat. Phys. 1986;43:841. doi: 10.1007/BF02628310. [DOI] [Google Scholar]
- 13.Lin HQ, Hirsch JE. Two-dimensional Hubbard model with nearest-and next-nearest-neighbor hopping. Phys. Rev. B. 1987;35:3359. doi: 10.1103/PhysRevB.35.3359. [DOI] [PubMed] [Google Scholar]
- 14.Hirsch JE, Scalapino DJ. Enhanced superconductivity in quasi two-dimensional systems. Phys. Rev. Lett. 1986;56:2732. doi: 10.1103/PhysRevLett.56.2732. [DOI] [PubMed] [Google Scholar]
- 15.Hirsch JE. Stable Monte Carlo algorithm for fermion lattice systems at low temperatures. Phys. Rev. B. 1988;38:12023. doi: 10.1103/PhysRevB.38.12023. [DOI] [PubMed] [Google Scholar]
- 16.Vollhardt D. Dynamical mean-field theory for correlated electrons. Ann. Phys. (Berlin) 2012;524(1):1–19. doi: 10.1002/andp.201100250. [DOI] [Google Scholar]
- 17.Georges A, Kotliar G, Krauth W, Rozenberg MJ. Dynamical mean-field theory of strongly correlated fermion systems and the limit of infinite dimensions. Rev. Mod. Phys. 1996;68:13. doi: 10.1103/RevModPhys.68.13. [DOI] [Google Scholar]
- 18.Hettler MH, Tahvildar-Zadeh AN, Jarrell M, Pruschke T, Krishnamurthy HR. Nonlocal dynamical correlations of strongly interacting electron systems. Phys. Rev. B. 1998;58:R7475. doi: 10.1103/PhysRevB.58.R7475. [DOI] [Google Scholar]
- 19.Hettler MH, Mukherjee M, Jarrell M, Krishnamurthy HR. Dynamical cluster approximation: Nonlocal dynamics of correlated electron systems. Phys. Rev. B. 2000;61:12739. doi: 10.1103/PhysRevB.61.12739. [DOI] [Google Scholar]
- 20.Jarrell M, Krishnamurthy HR. Systematic and causal corrections to the coherent potential approximation. Phys. Rev. B. 2001;63:125102. doi: 10.1103/PhysRevB.63.125102. [DOI] [Google Scholar]
- 21.Jarrell M, Maier T, Huscroft C, Moukouri S. Quantum Monte Carlo algorithm for nonlocal corrections to the dynamical mean-field approximation. Phys. Rev. B. 2001;64:195130. doi: 10.1103/PhysRevB.64.195130. [DOI] [Google Scholar]
- 22.Moradian, R., Moradian, S. & Gholami, R. Comment on: Locally self-consistent embedding approach for disordered electronic systems. http://arxiv.org/1911.02553.
- 23.Moradian R, Györffy BL, Annett JF. Impurity bound states in disordered d-wave superconductors. Phys. Rev. Lett. 2002;89:287002. doi: 10.1103/PhysRevLett.89.287002. [DOI] [PubMed] [Google Scholar]
- 24.Moradian R. Disordered carbon nanotube alloys in the effective-medium supercell approximation. Phys. Rev. B. 2004;70:205425. doi: 10.1103/PhysRevB.70.205425. [DOI] [Google Scholar]
- 25.Moradian R, Moradian S. Low dimensions electron localization in the beyond real space super cell approximation. Sci. Rep. 2019;9:8288. doi: 10.1038/s41598-019-44395-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sorella S, Tosat E. Semi-metal-insulator transition of the Hubbard model in the honeycomb lattice. Europhys. Lett. 1992;19(8):699–704. doi: 10.1209/0295-5075/19/8/007. [DOI] [Google Scholar]
- 27.Martelo LM, Dzierzawa M, Siffert L, Baeriswyl D. Mott–Hubbard transition and antiferromagnetism on the honeycomb lattice. Z. Phys. B. 1997;103:335. doi: 10.1007/s002570050384. [DOI] [Google Scholar]
- 28.Paiva T, Scalettar RT, Zheng W, Singh RRP, Oitmaa J. Ground-state and finite-temperature signatures of quantum phase transitions in the half-filled Hubbard model on a honeycomb lattice. Phys. Rev. B. 2005;72:085123. doi: 10.1103/PhysRevB.72.085123. [DOI] [Google Scholar]
- 29.Stauber T, Parida P, Trushin M, Ulybyshev MV, Boyda DL, Schliemann J. Interacting electrons in graphene: Fermi velocity renormalization and optical response. PRL. 2017;118:266801. doi: 10.1103/PhysRevLett.118.266801. [DOI] [PubMed] [Google Scholar]




