Spectral gaps in graphene antidot lattices
Jean-Marie Barbaroux, Horia Cornean, Edgardo Stockmeyer

TL;DR
This paper investigates how the spectral gap in graphene antidot lattices depends on various parameters, providing mathematical insights into the gap creation process in periodically perforated graphene sheets.
Contribution
It offers new spectral analysis results on the size and dependence of energy gaps in graphene with periodic obstacles, advancing understanding of electronic properties in such nanostructures.
Findings
Spectral gaps depend on lattice parameters.
Mathematical bounds for gap sizes are established.
Results inform design of graphene-based electronic devices.
Abstract
We consider the gap creation problem in an antidot graphene lattice, i.e. a sheet of graphene with periodically distributed obstacles. We prove several spectral results concerning the size of the gap and its dependence on different natural parameters related to the antidot lattice.
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Spectral gaps in graphene antidot lattices
Jean-Marie Barbaroux
Jean-Marie Barbaroux
Aix Marseille Univ, Université de Toulon
CNRS, CPT, Marseille, France.
,
Horia Cornean
Horia Cornean
Department of Mathematical Sciences, Aalborg University
Fredrik Bajers Vej 7G, 9220 Aalborg Ø, Denmark.
and
Edgardo Stockmeyer
Edgardo Stockmeyer
Instituto de Física
Pontificia Universidad Católica de Chile
Vicuña Mackenna 4860
Santiago 7820436, Chile.
Abstract.
We consider the gap creation problem in an antidot graphene lattice, i.e. a sheet of graphene with periodically distributed obstacles. We prove several spectral results concerning the size of the gap and its dependence on different natural parameters related to the antidot lattice.
Key words and phrases:
Dirac operator, graphene
2010 Mathematics Subject Classification:
Primary 81Q10; Secondary 46N50, 81Q37, 34L10, 47A10
1. Introduction
Graphene, a two-dimensional material made of carbon atoms arranged in a honeycomb structure, has risen a lot of attention due to its many unique properties. Remarkably, charge carriers close to the Fermi energy behave as massless Dirac fermions. This is due to its energy band structure which exhibits two bands crossing at the Fermi level making graphene a gapless semimetal [5]. Many efforts have been carried out for the possibility of tuning an energy gap in graphene [6].
The main physical motivation of our work is related to the so-called antidot graphene lattice [13], which consists of a regular sheet of graphene having a periodic array of obstacles well separated from each other. These obstacles can be thought, for instance, as actual holes in the graphene layer [13]. More generally, substrate induced obstacles [9] or those created by doping or by mechanical defects have also been considered in the literature (see e.g.,[6] and references therein). It has been observed both experimentally and numerically that such an array causes a band gap to open up around the Fermi level, turning graphene from a semimetal into a gapped semiconductor (see e.g.,[3], [9], and [6]).
In [7] and [4] there are given several proposals concerning the modelling of this phenomenon. In one of these proposals the authors replace the usual tight-binding lattice model by a two-dimensional massless Dirac operator, while a hole is modeled with the help of a periodic mass term. For a large mass term held fixed the authors numerically analyse how the gap appearing near the zero energy depends on the natural parameters of the antidot lattice, namely, the area occupied by one mass-insertion versus the area of the super unit-cell which contains only one such hole. For holes with armchair type of boundaries, this model is in very good agreement with tight-binding and density functional ab-initio calculations [4] (see also [3, 11, 12]). Moreover, the Dirac operator with a mass term varying in a superlattice has also been used to explain the gap appearing when a layer of graphene is placed on substrate of hexagonal boron nitride [9] (see also [15] for the inclusion of electronic interaction).
In this article we consider the Dirac model with a periodic mass term and we estimate the size of the energy gap in terms of the strength and shape of the mass-insertion together with the natural parameters of the antidot lattice. Let us now formulate more precisely the problem we want to investigate.
1.1. Setting and main results
Let be a bounded function supported on a compact subset included in satisfying
[TABLE]
We use the standard notation for the Pauli matrices
[TABLE]
We define the massless free Dirac operator in as
[TABLE]
Let be a dimensionless parameter and let have dimensions of length. In physical units, the operator describing a mass-periodically perturbed graphene sheet is given by
[TABLE]
where is Plank’s constant divided by and is the Fermi velocity in graphene. Here has dimensions of energy and represents the strength of the mass-insertion which is -periodic. We note that in order for the continuum Dirac model to hold one needs to be much larger than the distance between the carbon atoms constituting graphene.
As it is well known, the spectrum of covers the whole real line. Our main interest in this paper is finding sufficient conditions that the function must satisfy in order to create a gap around zero in the spectrum of and to estimate its size in terms of , and . By making the scaling transformation one gets that
[TABLE]
Note that is a dimensionless parameter. Here, for , we define the operator in
[TABLE]
This new operator is clearly periodic with respect to and (just like ) it is self-adjoint on the first Sobolev space (see [16]).
Given a self-adjoint operator , we denote by its resolvent set. Here is the first main result of our paper.
Theorem 1.1**.**
Assume . Then there exist two constants and such that for all and obeying we have
[TABLE]
Remark. Let us comment on the consequences of this result regarding the energy gap, , for the family defined in (1.3). Let us define the area of the supercell and representing the area supporting one mass perturbation. In view of (1.4), Theorem 1.1 states that for small enough and for in (1.1) positive
[TABLE]
Remarkably this estimate does not depend on the side of the supercell. This is to be contrasted with the regime of considered in [13] and [4] where it was found that, for small enough (see e.g., Equation A.8 of [4]),
[TABLE]
This latter regime can be mathematically investigated using the Dirac operator with infinite mass boundary conditions proposed in [2] (see [1] for its rigorous definition).
In the case it is still possible to prove the existence of a gap opening at zero. The next result needs some assumptions on in terms of its Fourier coefficients
[TABLE]
Note that means that . In terms of the operator in (1.5), this time we keep and we make smaller than certain constant times the -norm of . Then the gap can still survive but it scales with instead of . As a consequence, the gap for has the following behaviour, for small enough,
[TABLE]
Theorem 1.2**.**
Assume , and at the same time:
[TABLE]
Then there exist two positive numerical constants and such that for every we have
[TABLE]
Let us describe a particular class of potentials where assumption (1.10) holds true. Assume that is of the form
[TABLE]
By construction, all the Fourier coefficients equal either or [math]. The non-zero coefficients are those for which lies in an annulus with outer radius and inner radius . When becomes large enough, the triples of vectors , and for which the Fourier coefficients in (1.10) are simultaneously non-zero form a triangle which “almost” coincides with an equilateral triangle with side-length equal to . Here “almost” means that the angle between and is close to when is large enough. Thus the scalar product is positive whenever the Fourier coefficients are non-zero (provided is large enough) and the double sum in (1.10) is also positive.
In the rest of the paper we give the proof of the two theorems listed above.
2. Proof of Theorem 1.1
Throughout this work we use the notation
[TABLE]
Note that our conditions on imply:
[TABLE]
2.1. Bloch-Floquet representation and proof of Theorem 1.1
In this subsection we start by presenting the main strategy of the proof of Theorem 1.1. It consists of a suitable application of the Feshbach inversion formula to the Bloch-Floquet fiber of . The main technical ingredients are Lemmas 2.2 and 2.3 whose proof can be found in the next subsection. At the end of this subsection we present the proof of Theorem 1.1.
Let denote the Schwartz space of test functions. Consider the map
[TABLE]
It is well known (see [14]) that is an isometry in that can be extended to a unitary operator. We denote its unitary extension by the same symbol. We define the Bloch-Floquet transform as . Then we have that
[TABLE]
where each fiber Hamiltonian is defined in . Here is the gradient operator with periodic boundary conditions and
[TABLE]
The spectra of and are related through
[TABLE]
We will use the standard eigenbasis of given by
[TABLE]
which is periodic and satisfies
[TABLE]
For define the projections
[TABLE]
Lemma 2.1**.**
Let and . Then, for every and , we have that
[TABLE]
Proof.
For every we have:
[TABLE]
Using the anticommutation relations of the Pauli matrices we get for any that
[TABLE]
∎
The previous lemma shows that has a spectral gap of order on the range of . In order to investigate whether that is still the case on the full Hilbert space we use the Feshbach inversion formula (see Equations (6.1) and (6.2) in [10]). The latter states in this case that if the Feshbach operator
[TABLE]
is invertible on . Here we used that .
The next lemma shows that the inverse of is well defined on the range of .
Lemma 2.2**.**
There exists a constant such that for all and with , we have that is invertible on the range of , for any and .
The following lemma controls the second term of the Feshbach operator
[TABLE]
Lemma 2.3**.**
There exist two constants and such that for all and with we have
[TABLE]
for any , , and .
Having stated all the above ingredients we can proceed to the proof of our first main result.
Proof of Theorem 1.1.
In view of (2.12) it is enough to show the invertibility of the Feshbach operator uniformly in . Using Lemmas 2.1 and 2.3 we get that for any
[TABLE]
This concludes the proof by picking so small that . ∎
2.2. Analysis of the Feshbach operator
In this section we provide the proofs of Lemmas 2.2 and 2.3 from the previous section. For that sake, let us first state some preliminary estimates. Let
[TABLE]
Lemma 2.4**.**
There exists a constant , independent of , such that for all
[TABLE]
Proof.
In order to show (2.15) we compute for (see also (2.11)):
[TABLE]
We now turn to the proof of equations (2.16) and (2.17). Denote the integral kernels of and by and . In the proof we will use the identity for
[TABLE]
Let us first estimate the quadratic form of for any . According to Lemma A.1 we have
[TABLE]
where in the last step we bound the exponential using that
Now assume that the support of lies in , i.e., above. Then it is easy to check that if then . Therefore, we find for such a case that
[TABLE]
Using the Hardy-Littlewood-Sobolev inequality for (see Lieb and Loss Theorem 4.3) we get
[TABLE]
Thus, denoting the universal constants by we obtain, for any with ,
[TABLE]
For some we observe that (see Remark 2.11)
[TABLE]
Moreover, Hölder’s inequality yields
[TABLE]
In order to get the desired bounds we recall that the norm of an operator is given by . Hence we find (2.16) by using (2.20) with and together with the bounds (2.21) and (2.22). Analogously, we obtain (2.17) using again (2.20) with and . ∎
Lemma 2.5**.**
For any we have
[TABLE]
Proof.
For all and , we have the identity
[TABLE]
Thus, we obtain for all ,
[TABLE]
∎
Let us introduce some notation: For a self-adjoint operator and an orthogonal projection , we define
[TABLE]
We set
[TABLE]
Let and be defined as
[TABLE]
Lemma 2.6**.**
There exists , independent of and , such that for all ,
[TABLE]
Proof.
Note that due to Lemma 2.5 we have for
[TABLE]
Using the first resolvent identity
[TABLE]
We shall estimate separately each term on the right hand side of (2.25).
Since commutes with the projections we have
[TABLE]
Thus, using (2.15), we obtain the estimate
[TABLE]
The identity (2.26) together with the inequalities (2.16) and (2.27), imply that there are universal constants , such that for
[TABLE]
This bounds the first term on the right hand side of (2.25). To estimate the second one we first notice that
[TABLE]
Therefore, using the same strategy as in (2.27), there exists independent of and such that
[TABLE]
where we used (2.17) in the last inequality.
Finally, we bound the last term on the right hand side of (2.25). Observe that from Lemma 2.4 and inequality (2.15), we obtain that there exists such that for all
[TABLE]
Therefore, using (2.24) and (2.17)
[TABLE]
In view of (2.25), the latter bound together with (2.28) and (2.29) concludes the proof. ∎
Before stating the next lemma we define the set
[TABLE]
Lemma 2.7**.**
For any we have that and
[TABLE]
Proof.
For we define for short
[TABLE]
Since we may use Neumann series to get
[TABLE]
where the absolute convergence of the last expression is a consequence of the identity:
[TABLE]
and the boundedness of and .
For we define . Since is an open set we may choose so small that . We first prove that the claim holds for . A simple iteration of the second resolvent identity gives
[TABLE]
where
[TABLE]
Hence converges to zero and . Taking the limit on the right hand side of this identity finishes the proof. ∎
Proof of Lemmas 2.2 and 2.3.
Notice that the proof of Lemma 2.2 follows from Lemma 2.7 since provided is small enough (see Lemma 2.6).
In order to show Lemma 2.3 observe that
[TABLE]
where we used Lemma 2.6 and (2.15). Moreover, assuming is so small that we have
[TABLE]
The latter inequality together with (2.32) finishes the proof of Lemma 2.3 in view of the resolvent identity of Lemma 2.7. ∎
3. Proof of Theorem 1.2
In this section we remind that we fix in the definition of . Let us redenote the Feshbach operator by to emphasize its dependence on the vector :
[TABLE]
We shall later on prove that is invertible for all , with an inverse uniformly bounded in . We now show that this information is enough for the existence of a gap near zero for the original operator .
Lemma 3.1**.**
Assume that there exists a constant such that
[TABLE]
Then there exists a constant such that for all , we have .
Proof.
There exists such that
[TABLE]
Using (3.33) yields
[TABLE]
Hence, is invertible for uniformly in . This implies that . ∎
Now we focus on proving the estimate (3.33). For that sake we consider two regimes in .
Lemma 3.2**.**
Let and let such that . Then is invertible and
[TABLE]
Proof.
From Lemma 2.5 we have for all . Thus for :
[TABLE]
Thus using :
[TABLE]
We have the identity
[TABLE]
hence under our assumption on we get that the operator is invertible, and
[TABLE]
which proves (3.34). ∎
Now we focus on the case . Applying the resolvent formula to the operator yields
[TABLE]
where we used (3.35) to prove that the third term on the right hand side of the first equality is . The operator has the structure where its matrix part is acting on .
Lemma 3.3**.**
The matrix is traceless, i.e. In particular, defining the three dimensional vector
[TABLE]
we have
[TABLE]
Proof.
Consider the anti-unitary charge conjugation operator defined by Then a straightforward computation yields and
[TABLE]
Also:
[TABLE]
Since if is self-adjoint, we must have . Since , we conclude that and the lemma is proved. ∎
Lemma 3.4**.**
Assume that hypothesis (1.10) of Theorem 1.2 holds. Then there exists and such that for all , and all such that , is invertible and
[TABLE]
Proof.
Due to (3.38), we have
[TABLE]
hence
[TABLE]
Let us now compute (remember that the ”third” component of is by definition equal to zero):
[TABLE]
which is independent of . Using (2.13) we get
[TABLE]
Hence we obtain because
[TABLE]
Moreover
[TABLE]
With equations (3.41)-(3.43) we get
[TABLE]
which together with (3.40) concludes the proof of the lemma since we assumed hypothesis (1.10). ∎
Proof of Theorem 1.2.
Equation (3.37) together with (3.39) implies that for and , the operator is invertible and
[TABLE]
for some constant independent of . Using in addition the estimate (3.34) of Lemma 3.2 it implies that there exists a constant independent of such that
[TABLE]
Together with Lemma 3.1, this concludes the proof of Theorem 1.2. ∎
Appendix A Estimate for the resolvent kernel
Lemma A.1**.**
There exists a constant such that the following kernel estimate holds for all
[TABLE]
Proof.
The relation implies that
[TABLE]
In order to obtain the kernel for the Laplacian we recall the well-known formula for its heat kernel in dimension
[TABLE]
Thus, by the usual integral representation of the resolvent in terms of the heat kernel we get
[TABLE]
where is a modified Bessel function (see Formula 8.432(6) in [8]). Using this in (A.44) and that (see Formula 8.486(18) in [8]) we get that
[TABLE]
Thus \left|(H_{0}\pm i)^{-1}(\mathbf{x},\mathbf{x}^{\prime})\right|\leqslant\frac{1}{2\pi}\big{(}\left|K_{0}(|\mathbf{x}-\mathbf{x}^{\prime}|)\right|+\left|K_{1}(|\mathbf{x}-\mathbf{x}^{\prime}|)\right|\big{)} the claim now follows by the asymptotic behaviour of the Bessel functions and at zero and infinity (see Formulas 8.447(3), 8.446 and 8.451(6) in [8]). ∎
Acknowledgments. It is a pleasure to thank the REB program of CIRM for giving us the opportunity to start this research. Furthermore, we thank the Pontificia Universidad Católica de Chile, Aalborg Universitet and Université de Toulon for their hospitality. E.S has been partially funded by Fondecyt (Chile) project # 114–1008 and Iniciativa Científica Milenio (Chile) through the Nucleus RC–120002.
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