Tight Binding calculation of band structure

In summary, the conversation discusses the calculation of the band structure of graphene for a unit cell with 8 atoms using the Tight Binding approximation. There is a discrepancy in the understanding of how increasing the unit cell size affects the band structure, with one person suggesting that it should lead to a folded band structure while the other argues that it does not make physical sense. The concept of zone-folding is also explained, with references to a book by S. Datta. The process of deriving the band structure for a unit cell of two atoms is discussed and how it can be generalized for larger unit cells. The conversation ends with a confirmation that this method has been successfully used for graphene.
  • #1
mohsen2002
19
0
Dear all,
I want to calculate the band structure of graphene for a unit cell with 8 atoms in the Tight Binding approximation. There is no problem about drawing the band structure for a unit cell with 2 atoms. But by increasing the unit cell size, first brillouin decrease and there is a gap in the band structure
Any suggestion appreciated.

Mohsen
 
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  • #2
I thought that increasing the size of the unit cell simply folds the bandstructure? So I cannot see how this folding would lead to an opening of a gap, that does not sound very physical to me...

But for a unit cell of 8 atoms, you have to construct the effective Hamiltonian Heff(k), which is an 8*8 matrix. The internal hopping matrix elements are simply "t", whereas the hoppings into or out of the unit cell get an exponential factor (this is where the wavevector "k" steps in).

This is explained e.g. in the book "Atom to Transistor" by S. Datta.
 
  • #3
Dear Saaskis,
Thanks for your reply.
could you please explain the exponential part of your reply or introduce a reference. I read Data, it only explain the subbands for nanotue. But i have problem with Graphene.
Zone folding concept is fully explain for nanotubes, But i can not find a good reference for graphene. Any suggestion?
Mohsen
 
  • #4
I don't have Datta now available, but if I remember correctly, he showed how to derive the "Bloch" Hamiltonian for general systems. If you understand what he does, you should be able to reproduce the same calculation for graphene. You know how to derive the bandstructure for a unit cell of two carbon atoms, right? Exactly the same principle holds if you choose a larger unit cell. I cannot give you any reference, since I doubt that anyone has published or showed such calculations just for fun... I understand that for example for systems with defects, it may be necessary to introduce a larger unit cell, but for pristine graphene, it does not really make any sense.

But to make sure that we understand what zone-folding means, let us briefly study the simplest example: a 1D TB chain with N atoms and periodic boundary conditions. The discrete Schrödinger equation for each site is

[tex]
-t\psi_{j-1}-t\psi_{j+1} = E \psi_j,
[/tex]

which can be solved using the Bloch ansatz [tex]\psi_j=ue^{ikj}[/tex], leading to

[tex]
E_k=-t(e^{-ik}+e^{ik})=-2t\cos(k).
[/tex]

The distinct k-values are [tex]k_n=2\pi n/N, \ n=0,1,\dots,N-1[/tex]. The Bloch Hamiltonian is a 1*1 matrix

[tex]
H_{eff}(k)=-t(e^{-ik}+e^{ik}),
[/tex]

since from any site one can hop to the right (exponential factor eik from the Bloch Ansatz) or to the left (exponential factor e-ik from the Bloch Ansatz).

Now suppose that we use a unit cell of two atoms. We know that this should lead to a identical bandstructure, but with "folded zones". The number of unit cells is then N/2, and our Ansatz would be

[tex]
\left(
\begin{array}{c}
\psi_j \\
\psi_{j+1} \\
\end{array}
\right)
=
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right)
e^{ik(j+1)/2}, \ j=1,3,5,\dots,N-1,
[/tex]

where I chose the exponential factor simply so that the first unit cell gets factor eik, the second e2ik etc. The distinct values of k are now (assuming N is even for this to make sense) [tex]k_n=4\pi n/N,\ n=0,1,\dots,N/2-1[/tex]. As expected, the number of allowed k-values in the Brillouin zone was halved due to the bigger unit cell. This leads to the Schrödinger equation

[tex]
\left(
\begin{array}{cc}
0 & -t(1+e^{ik}) \\
-t(1+e^{-ik}) & 0 \\
\end{array}
\right)
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right)
=
E
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right).
[/tex]

Diagonalization gives the eigenvalues

[tex]
E_k=\pm t \sqrt{(1+\cos(k))^2+\sin(k)^2}=\pm t\sqrt{2+2\cos(k)}=\pm 2t\cos(k/2).
[/tex]

(Here one should be a little careful with the trigonometry, I guess.) As expected, we got two branches that meet each other at k=pi. Rescaling the new k-variable by a factor of two, it would be clear how the original bandstructure Ek=-2tcos(k) changes to Ek=pm 2tcos(k): plotting shows that the old bandstructure in the Brillouin zone (-pi,pi) got folded with respect to the points -pi/2 and pi/2. This scaling also halves the Brillouin zone to (-pi/2,pi/2).

Now, one can directly see how this can be generalized to more complicated systems: the only problem is that in higher dimensions and in more complicated lattices, the intuition of folding is easily lost. But in principle, the analysis should be straightforward. Just try to do it yourself and ask if you run into any problems.
 
Last edited:
  • #5
Thanks for your reply. I use this method for graphene (it is not easy) and it works properly.
Thanks.

Mohsen
 
  • #6
saaskis said:
I don't have Datta now available, but if I remember correctly, he showed how to derive the "Bloch" Hamiltonian for general systems. If you understand what he does, you should be able to reproduce the same calculation for graphene. You know how to derive the bandstructure for a unit cell of two carbon atoms, right? Exactly the same principle holds if you choose a larger unit cell. I cannot give you any reference, since I doubt that anyone has published or showed such calculations just for fun... I understand that for example for systems with defects, it may be necessary to introduce a larger unit cell, but for pristine graphene, it does not really make any sense.

But to make sure that we understand what zone-folding means, let us briefly study the simplest example: a 1D TB chain with N atoms and periodic boundary conditions. The discrete Schrödinger equation for each site is

[tex]
-t\psi_{j-1}-t\psi_{j+1} = E \psi_j,
[/tex]

which can be solved using the Bloch ansatz [tex]\psi_j=ue^{ikj}[/tex], leading to

[tex]
E_k=-t(e^{-ik}+e^{ik})=-2t\cos(k).
[/tex]

The distinct k-values are [tex]k_n=2\pi n/N, \ n=0,1,\dots,N-1[/tex]. The Bloch Hamiltonian is a 1*1 matrix

[tex]
H_{eff}(k)=-t(e^{-ik}+e^{ik}),
[/tex]

since from any site one can hop to the right (exponential factor eik from the Bloch Ansatz) or to the left (exponential factor e-ik from the Bloch Ansatz).

Now suppose that we use a unit cell of two atoms. We know that this should lead to a identical bandstructure, but with "folded zones". The number of unit cells is then N/2, and our Ansatz would be

[tex]
\left(
\begin{array}{c}
\psi_j \\
\psi_{j+1} \\
\end{array}
\right)
=
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right)
e^{ik(j+1)/2}, \ j=1,3,5,\dots,N-1,
[/tex]

where I chose the exponential factor simply so that the first unit cell gets factor eik, the second e2ik etc. The distinct values of k are now (assuming N is even for this to make sense) [tex]k_n=4\pi n/N,\ n=0,1,\dots,N/2-1[/tex]. As expected, the number of allowed k-values in the Brillouin zone was halved due to the bigger unit cell. This leads to the Schrödinger equation

[tex]
\left(
\begin{array}{cc}
0 & -t(1+e^{ik}) \\
-t(1+e^{-ik}) & 0 \\
\end{array}
\right)
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right)
=
E
\left(
\begin{array}{c}
u_1 \\
u_2\\
\end{array}
\right).
[/tex]

Diagonalization gives the eigenvalues

[tex]
E_k=\pm t \sqrt{(1+\cos(k))^2+\sin(k)^2}=\pm t\sqrt{2+2\cos(k)}=\pm 2t\cos(k/2).
[/tex]

(Here one should be a little careful with the trigonometry, I guess.) As expected, we got two branches that meet each other at k=pi. Rescaling the new k-variable by a factor of two, it would be clear how the original bandstructure Ek=-2tcos(k) changes to Ek=pm 2tcos(k): plotting shows that the old bandstructure in the Brillouin zone (-pi,pi) got folded with respect to the points -pi/2 and pi/2. This scaling also halves the Brillouin zone to (-pi/2,pi/2).

Now, one can directly see how this can be generalized to more complicated systems: the only problem is that in higher dimensions and in more complicated lattices, the intuition of folding is easily lost. But in principle, the analysis should be straightforward. Just try to do it yourself and ask if you run into any problems.


Hi, could you explain the physical significant of the folding? What does it imply?
 
  • #7
the bandstructure is periodic in the inverse (fourier) space, but in the band structure is ploted in the first brillouin zone, by increasing the real space unit cell the inverse unit cell decreas. For plotting the new bandstructure you should move the old branch of bandstructure to new brillouin zone, this is zone folding.
i hope it helps.
 

1. What is a Tight Binding calculation of band structure?

A Tight Binding calculation of band structure is a method used to study the electronic band structure of a solid material. It is based on the approximation that the wavefunction of an electron in a crystal can be represented as a linear combination of atomic wavefunctions. This allows for the calculation of the energy levels and band structure of the material.

2. What information can be obtained from a Tight Binding calculation of band structure?

A Tight Binding calculation of band structure can provide information about the energy levels and band structure of a material, including the shape and dispersion of the bands, the band gap, and the density of states. It can also be used to study the effects of different parameters, such as lattice structure, on the electronic properties of the material.

3. How is a Tight Binding calculation of band structure performed?

A Tight Binding calculation of band structure involves solving the Schrödinger equation for the system using the tight binding approximation. This involves calculating the Hamiltonian matrix, which describes the interactions between electrons and atoms in the crystal, and then solving for the eigenvalues and eigenvectors of the matrix to obtain the energy levels and wavefunctions of the electrons.

4. What are the advantages of using Tight Binding for band structure calculations?

Tight Binding calculations of band structure are computationally efficient and can provide accurate results for simple systems. They also allow for the inclusion of different parameters, such as spin and orbital effects, which are important for studying the electronic properties of materials.

5. What are the limitations of Tight Binding calculations of band structure?

Tight Binding calculations of band structure are based on simplifying assumptions and may not accurately capture the full complexity of a material's electronic properties. They are most accurate for simple systems and may not provide accurate results for more complex materials. Additionally, they do not take into account the effects of electron-electron interactions, which can be significant in some materials.

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