Abstract
We describe how to apply the recursive Green’s function method to the computation of electronic transport properties of graphene sheets and nanoribbons in the linear response regime. This method allows for an amenable inclusion of several disorder mechanisms at the microscopic level, as well as inhomogeneous gating, finite temperature, and, to some extend, dephasing. We present algorithms for computing the conductance, density of states, and current densities for armchair and zigzag atomic edge alignments. Several numerical results are presented to illustrate the usefulness of the method.
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Notes
The number of sites per slice does not need to be equal for all slices.
There are several good textbooks, such as Refs. [32, 49, 50], that discuss nonequilibrium Green’s functions. In particular, Ref. [32] concisely covers all required background material. We refer the reader to these books for the derivation of expressions involving G < and related functions and further insight into the subject.
One set of random numbers for each α-component of the gauge field, such that \(\langle c_{k}^{\alpha}\rangle= 0\) and \(\langle c_{k}^{\alpha}c_{k^{\prime}}^{\alpha^{\prime}} \rangle= \delta_{kk^{\prime}} \delta_{\alpha\alpha^{\prime}}\).
The discussion and results that follow complement the material presented in Ref. [2].
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Appendices
Appendix A: Steps in the linear conductance
Let us show that the surface Green’s function in Eq. (67) leads to the expect steps in the linear conductance. For this purpose, let us begin by noticing that, in the case of a square lattice lead, only propagating modes yield a finite level width: For |E−ε ν |<2t x ,
where \(\sin\phi_{\nu}= \sqrt{1 - (E-\varepsilon_{\nu})^{2}/4t^{2}}\), in which case we can write \(\tilde{g}_{\nu}= e^{-i\phi_{\nu}}/t_{x}\).
In order to obtain the retarded Green’s function across the system, we add one slice between the left and right contacts and use the following expression, easily derivable from Eqs. (32), (33), (41) and (42):
Since G 0,2 depends solely on g L , we can rewrite in the propagation mode basis, in which case the Landauer formula is reduced to (see Eq. (15))
where the prime indicates that the sum runs only over states such that |E−ε ν |<2t x and
Putting all together, we find that
which is the expected result for a clean ballistic system.
Appendix B: Peierls hopping phases
Here we evaluate the phase of the hopping matrix elements between any two arbitrary sites due to the presence of a perpendicular magnetic field. We pick the vector potential in the generic Landau gauge A x =(α−1)By and A y =αBx, with 0≤α≤1. The (directional) Peierls phase between two neighboring sites k and k′ is given by [69]
where θ kk′ is the angle that the segment k–k′ makes with the x axis.
Notice that φ k,k′=−φ k′,k . If we sum over all the bond phases around the perimeter of a hexagon, we obtain \(\sum\varphi= \sqrt{3}ecBa_{0}^{2}/2\hbar= 2\pi (\varPhi/\varPhi_{0})\), where Φ 0=h/ec (flux quantum), and \(\varPhi= B A_{\rm hex}\), with \(A_{\rm hex} = \sqrt{3} a_{0}^{2}/2\) being the area of the hexagon.
Appendix C: Random flux estimate
Let us estimate the rms value of the random magnetic field produced by the random vector potential:
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Lewenkopf, C.H., Mucciolo, E.R. The recursive Green’s function method for graphene. J Comput Electron 12, 203–231 (2013). https://doi.org/10.1007/s10825-013-0458-7
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DOI: https://doi.org/10.1007/s10825-013-0458-7