# Bi_{2}Se_{3} topological insulator¶

**Version:** 2016.2

Topological insulators are electronic materials that have a bulk band gap like an ordinary insulator, but still support conducting states on their surface. It can be shown that these states are topologically protected due to a non-trivial topological index of the material and cannot be removed by any distortions. The 2D energy–momentum relation of these surface states has a “Dirac cone” structure similar to that of graphene. Topological insulators therefore constitute a new class of quantum matter governed by exotic physics that may some day be exploited in electronic devices. Refs. [HK10] and [QZ11] provide recent reviews of this highly active field of research.

In this tutorial you will learn how to use ATK-DFT to study the Bi_{2}Se_{3}
compound, which is a 3D strong topological insulator. Nonequilibrium
Green’s function DFT calculations were recently reported for a Bi_{2}Se_{3}
thin film connected to leads in a two-terminal device setup
[CMS+15]. However, this tutorial focuses on bulk
calculations and properties of the surface states. In particular, you
will:

- Use the VNL Crystal Builder to construct the Bi
_{2}Se_{3}crystal structure. - Investigate the bulk Bi
_{2}Se_{3}band structure with and without the SOC. - Construct a Bi
_{2}Se_{3}slab configuration and compute the SOC band structure, which exhibits the surface states mentioned above. - Compute the density of states (DOS) around the Fermi energy, which nicely illustrates the Dirac cone inside the bulk band gap.
- Investigate the surface state penetration depth into the material.
- Plot the spin-resolved Fermi surface of surface states, and investigate how the in-plane spin orientation varies on the Fermi surface.
- Calculate the topological invariants for Bi
_{2}Se_{3}.

Note

It is essential to include the spin-orbit coupling (SOC) to correctly describe the electronic structure of a topological insulator.

## Build the Bi_{2}Se_{3} crystal¶

Open the VNL Builder and click
. As described
in [ZYZ+10], the Bi_{2}Se_{3} crystal is rhombohedral and
belongs to space group \(\mathrm{R \overline{3} m}\). It has lattice
constants a=4.138 Å and c=28.64 Å, and internal coordinates \(\mu\)=0.399 for Bi sites and \(\nu\)=0.206 for Se sites. The basic
Bi_{2}Se_{3} unit cell, called a quintuple layer (QL), contains 5 atoms:
One Se atom at coordinate (0, 0, 0), Bi atoms at internal coordinates
\((\pm\mu,\pm\mu,\pm\mu)\), and Se atoms at
\((\pm\nu,\pm\nu,\pm\nu)\).

### Lattice¶

In the Crystal Builder, choose the *Trigonal* space group number 166
with *Hexagonal* setting, and enter the lattice parameters:

### Basis¶

Then specify the atomic basis with which to decorate the lattice, i.e.
enter the internal coordinates of the unique sites of the Bi_{2}Se_{3}
crystal and the elements that should be at those sites:

- Click the icon and select site
*3a: (0,0,0)*, and change the element from hydrogen to selenium. - Use the same procedure twice for specifying the remaining sites, but
choose
*6c: (0,0,z)*for the site type, and enter the internal coordinates z=0.399 for bismuth and z=0.206 for selenium.

The Crystal Builder window should now look like illustrated below.
Click *Build* to build the bulk configuration – it will then appear
in the Builder Stash.

You have now built the Bi_{2}Se_{3} bulk configuration with 3 QLs and 15
atoms in total. Continue to the next section to start doing some DFT
calculations for this material. If needed, you can also download the
bulk configuration here: `Bi2Se3_bulk_configuration.py`

## Bi_{2}Se_{3} bulk band structure¶

Send the bulk configuration to the Script Generator, and set up a Python script that uses ATK-DFT to calculate the band structure with and without the spin-orbit coupling. The script should first calculate the self-consistent GGA state and perform band structure analysis, and then use that state as an initial guess for the self-consistent SOGGA state, again followed by band structure analysis.

The Script Generator now contains the bulk configuration. Add the
New Calculator,
, and
Initial State blocks, as illustrated below. Also change the default
output file to `Bi2Se3_bulk.nc`

.

### GGA calculation¶

Open the first New Calculator block to edit it:

- Make sure to choose the ATK-DFT calculator.
- In the
*Basis set/exchange correlation*settings, choose*GGA*and change the pseudopotentials to the*OMX*family with*Medium*basis sets for both Se and Bi. - In the
*Basic settings*tab, increase the density mesh cut-off to 150 Hartree, and set up a 9x9x3 k-point grid. Click*OK*to save the settings.

Then open the first Bandstructure block and edit it:

- Increase
*points per segment*to 51 to get a nicely resolved band structure. - Change the Brillouin zone route to
*K, G, M, G, L*. - Change the IO file to
`bulk_bs_gga.nc`

.

### SOGGA calculation¶

Open the second New Calculator block, and edit it
such that the settings are identical to those in the first calculator,
but set the *Spin* parameter to *Noncollinear Spin-Orbit* in order to
do a SOGGA calculation. Remember to also set the pseudopotentials,
density cut-off, and k-points.

Next, open the second Initial State block, and
select *User spin* for *Initial state type*, tick the *Use old calculation*
option, and enter the file name `Bi2Se3_bulk.nc`

from which the
GGA state should be read.

Finally, set up the second Bandstructure block identically
to the first one, but use `bulk_bs_sogga.nc`

for the IO file.

### Results¶

The Python script is now ready. Save it as `Bi2Se3_bulk.py`

.
If needed, you can also download it here: `Bi2Se3_bulk.py`

Execute it using the Job Manager or in a Terminal. The job will take a while, but the wall time can be brought down to around 40 minutes if executed in parallel with 2 MPI processes on 2 CPUs. Note that this requires in total about 15 GB of available memory!

Tip

The tutorial Basic ATK Performance Guide offers tips on ATK performance, including how to deal with memory issues.

Once the calculation has finished, the VNL **LabFloor** contains three sets
of data: *Bi2Se3_bulk*, *bulk_bs_gga*, and *bulk_bs_sogga*. The last two
contain the GGA and SOGGA band structures. Highlight both band structure
objects, and use the **Compare Data** plugin to plot both of them.

The plot is shown below. Including spin-orbit coupling in the calculations
(SOGGA) has a significant impact on the band structure, and widens the
direct band gap at the \(\Gamma\)-point However, we do not see any
bands crossing the Fermi level (the smallest SOGGA band gap is 0.3 eV),
so the Bi_{2}Se_{3} bulk material is an insulator.

## Bi2Se3 surface: Spin-orbit band structure¶

You will now create a Bi_{2}Se_{3} slab configuration, and compute the SOGGA
band structure, which will exhibit the topologically protected surface
states crossing the band gap around the \(\Gamma\)-point.

### Constructing the surface¶

Back in the **Builder**, highlight the Bi_{2}Se_{3} bulk configuration
(named Crystal), and open the
plugin. Choose Miller indices (0001), and select selenium atom #12 as
the top atom in the slab. Then click *Next*.

Leave settings at defaults in the “Define surface lattice” options window.
In the “Finalize output configuration” options, choose a *Non-periodic
and normal (slab)* out-of-plane cell vector, and enter 10 Å for both
top and bottom vacuum. Then click *Finish*.

The slab configuration, named Crystal (0001), has now appeared in the
Stash. As a final touch, highlight the item and use the
*Hexagonal* while keeping the fractional coordinates
constant:

### DFT-SOGGA calculations¶

You can now send the slab configuration to the **Script Generator**,
and set up the SOGGA band structure calculation similarly to what you
did above for the bulk, but with slight changes:

- You will not need the GGA band structure analysis.
- Use
`Bi2Se3_slab.nc`

as default output file. - Use a 9x9x1 k-point grid (the slab is not periodic along the C-direction).
- Decrease the electron temperature from 300 to 50 K. This will improve the DFT description of electron occupations close to the Fermi level.
- Use 201 points per segment for the SOGGA band structure analysis,
and the
*K–G–M*Brillouin zone route.

**Alternatively, you can simply skip the above and go directly to the next
section to use a pre-made Python script with a few additional features.**

### Convenient Python script¶

Click here: `Bi2Se3_slab.py`

to download a Python script that was made
using the procedure outlined above, but also has a few extra features:

- The “MemoryUsage” functionality is used to estimate the memory required for the GGA and SOGGA calculations immediately before they are executed.
- The SOGGA calculator is constructed as a copy of the GGA calculator, and is then modified accordingly.
- A special density mixing algorithm is used for the non-collinear calculation.

Run the calculation using the Job Manager or in a Terminal. The job will take roughly 30 minutes if executed in 2 parallel MPI processes on 2 CPUs.

Hint

If you look at the log file during the calculation, you will see that the estimated peak memory requirements are 756 MB per MPI process for the GGA calculation, and 3.8 GB per MPI process for the SOGGA calculation. These are estimates, and in practice you should expect the full calculation to require almost 5 GB per MPI process.

```
GGA:
+----------------------------------------------------------+
| Memory usage estimate |
| -------------------------------------------------------- |
| Base: Sparse matrices 44 Mbyte |
| Base: GridTool+Basis set 100 Mbyte |
| Base: SCF history 442 Mbyte |
| Base: NLEngine 70 Mbyte |
| Base: Grid terms 39 Mbyte |
| Sum of the base terms 696 Mbyte |
| -------------------------------------------------------- |
| Peak: Diagonalization 60 Mbyte |
| Peak: Grid terms 19 Mbyte |
| -------------------------------------------------------- |
| Estimated Peak memory requirement 756 Mbyte |
+----------------------------------------------------------+
SOGGA:
+----------------------------------------------------------+
| Memory usage estimate |
| -------------------------------------------------------- |
| Base: Sparse matrices 272 Mbyte |
| Base: GridTool+Basis set 100 Mbyte |
| Base: SCF history 2726 Mbyte |
| Base: NLEngine 70 Mbyte |
| Base: Grid terms 157 Mbyte |
| Sum of the base terms 3326 Mbyte |
| -------------------------------------------------------- |
| Peak: Diagonalization 446 Mbyte |
| Peak: Grid terms 58 Mbyte |
| -------------------------------------------------------- |
| Estimated Peak memory requirement 3772 Mbyte |
+----------------------------------------------------------+
```

### Results¶

The VNL **LabFloor** should now contain the results of the calculation.
Select the band structure object, and use the **Bandstructure Analyzer**
to plot it.

The calculated band structure of the Bi_{2}Se_{3} slab is shown below.
Bands are now present around the Fermi level at the \(\Gamma\)-point
– these are surface states. There are four such surface states crossing
the Fermi level (indicated by red dots); bands 142 and 143 form a single
degenerate band immediately below the Fermi energy, while bands 144 and
145 form a degenerate band above E_{F}. The bulk valence bands are
below those surface states (indicated by blue dot). It is clear that
the dirac cone is located inside the bulk band gap. There is a tiny
gap between the valence
and conduction surface bands of size 7 meV. This is a finite size
effect from the use of a slab model, which arise from the
interaction of the surface bands on opposite sides of the slab. For a
larger slab the gap will be reduced.

## DOS analysis: Dirac cone finger print¶

As stated in the introduction, the electronic structure of the surface
states close to the Fermi level resembles that of a Dirac cone, where
the electron momentum depends linearly on the energy. Since the surface
states are the only states present inside the bulk energy gap, we should
expect the electronic density of states close to E_{F} to be
linear. It is easy to compute and plot the DOS as a post-SCF analysis:

Open the **Script Generator** and add the
Analysis from File and
blocks. Change the default
output file to `dos.nc`

.

Open the first block, and point to the `Bi2Se3_slab.nc`

file and
Object id *glD001*, which is the self-consistent SOGGA state.

Then open the DensityOfStates analysis block, and set up a dense k-point
sampling along k_{x} and k_{y}, 21x21x1. You will need to
uncheck the *sync* option. Remember: It is important in this case to
sample the \(\Gamma\)-point, so we use use an odd k-grid.

Save the script as `dos.py`

and run it. You can also download it
here: `dos.py`

.

Then locate the DOS object on the **LabFloor**, and use the **2D Plot**
plugin to visualize it. With a bit of zooming you should be able to see
the expected linear dependence of the DOS on energy, as illustrated below.
The sharp increase in DOS at E=0.47 eV are due to the lowest bulk conduction bands.

## Penetration depth of surface states¶

An essential feature of the topologically protected surface states close to the Dirac point is that they are highly localized to the surface region. The penetration depth into the bulk material may be as small as 2–3 nm [ZYZ+10]. Moreover, the degenerate surface states observed in a band structure calculation are in each specific k-point composed of states with opposite spin and localized on opposite sides of the slab.

You will now investigate this by performing a **BlochState analysis**
in a specific k-point on the Dirac cone for bands 144 and 145. You will
then project both Bloch states onto the C-axis of the Bi_{2}Se_{3} slab unit
cell, and plot the magnitude and direction of the non-collinear spin
vectors as a function of the C-coordinate.

### Calculations¶

You will need the following two scripts: `bloch_states.py`

and `spinVector.py`

.
Download the scripts and execute the first one (`bloch_states.py`

)
using the Job Manager or in a Terminal. It reads in the SOGGA state from
`Bi2Se3_slab.nc`

, performs the two BlochState analyses for k-point
[0, 0.04, 0], and then computes the length \(r\) and polar angles
\(\theta\) and \(\phi\) for both Bloch states and plots them.

The resulting figure is shown above. Orange and purple dots at the bottom indicate the position of the Se and Bi atoms, respectively. The two states are clearly localized on opposite sides of the slab (red curves) and have very little overlap in the middle of it. The polar angle \(\phi\) is 270° for both states (blue curves), but the in-plane angle \(\phi\) is 120° for band 144 and rotated by 180° to 300° for band 145 (green curves). The two spin states therefore point in opposite directions!

## Fermi surface and spin directions¶

Finally, it is interesting to study the Fermi surface of the Bi_{2}Se_{3}
slab in the vicinity of the Dirac cone. This is easily done by sampling
the band structure on a dense k-grid centered at the \(\Gamma\)-point.

Download and execute this pre-made script: `fermi_surface.py`

. It reads
in the SOGGA state from `Bi2Se3_slab.nc`

, performs band structure
analysis in all points on a
k_{x} \(\times\) k_{y}=51\(\times\)51 grid,
and creates a contour plot of the eigen-energies of the surface state
in energy band 144.

Note

**For users of ATK 2017**: Use instead the script `fermi_surface_2017.py`

.

The resulting plot is illustrated above. As expected for a Dirac cone, the Fermi surface is circular close to the apex (red dot), but in this case it turns more hexagonal in shape for higher energies.

The Python script has also extracted the contour corresponding to
E_{F}=0.15 eV and computed the Bloch state for every 10th
(k_{x}, k_{y}) point around that contour. In each point, an
arrow indicates the in-plane spin orientation (\(\phi\)). It is clear
that the spin rotates by \(2 \pi\) as it circles around the Dirac
point.

The reason for this is simple: Time-reversal symmetry requires that
states at momenta **k** and -**k** have opposite spin. However, the
Dirac cone for surface states originating from a *single* surface is
*not* spin degenerate. The spin must therefore rotate with **k** as it
goes around the Fermi surface. See Ref. [HK10]
for more details.

## Topological Invariants¶

The properties of a 3-D topological insulator is determined by four topological invariants [FKM07], [MB07], [Roy09], which describe properties of the band structure at special k-points, i.e. the \(\Gamma\)-point and the Brillouin zone edges.

The first topological invariant describes the difference in the wavefunction symmetry at the different special k-points. This invariant distiguishes “strong” topological insulators, and when present, the system will have topologically protected surface bands. The topological invariant is robust towards atomic disorder and any time-invariant perturbation cannot remove the surface bands.

For a system with inversion symmetry the topological invariants can be calculated from the symmetry of the Bloch function at 8 special Brillouin zone points [FK07],

where \({\bf b_i}\) are the reciprocal lattice vectors and \(n_i=0,1\).

Let \(\psi_{i, n}\) be the nth occupied Bloch function at \(\Gamma_{i}\), then we define the symmetry function

where \(\Theta\) is the inversion operator. Once the symmetry functions are known the strong topological invariant, \(\nu_0\), is given by

There are three weak invariants, \(\nu_1\), \(\nu_2\), and \(\nu_3\), given by products of four \(\delta_i\)‘s, for which \(\Gamma_{i}\) reside in the same plane:

The weak invariants are not robust towards atomic disorder, and do not guarantee the existence of metallic surface bands.

### Python script for the calculating the topological invariants¶

Download the script `TopologicalInvariant3D.py`

, which implements
the equations given above for calculating the topological invariants.
The script will only work for systems with inversion symmetry. An
example of usage is given with the python script below.

```
from TopologicalInvariant3D import topologicalInvariant3D
bulk_configuration = nlread('Bi2Se3_bulk.nc', BulkConfiguration)[-1]
print '-----------------------------------'
print 'Topological Invariants = ', topologicalInvariant3D(bulk_configuration)
print '-----------------------------------'
```

which when run will produce the output

```
-----------------------------------
Topological Invariants = [1 0 0 0]
-----------------------------------
```

We see that Bi_{2}Se_{3} is a strong 3D topological insulator, because
\(\nu_0=1\), while the three weak invariants are all 0.

You can now easily screen a range of 3D materials with inversion symmetry for their topological indices to figure out if they are strong or weak topological insulators.

Note

**For users of ATK 2017 and later**: The script `TopologicalInvariant3D.py`

will **not** work with ATK 2017 and later versions. Download instead
the script `TopologicalInvariant3DATK2017.py`

and use it like this:

```
from TopologicalInvariant3DATK2017 import topologicalInvariant3D
bulk_configuration = nlread('Bi2Se3_bulk.nc', BulkConfiguration)[-1]
print '-----------------------------------'
print 'Topological Invariants = ', topologicalInvariant3D(bulk_configuration)
print '-----------------------------------'
```

## References¶

[CMS+15] | Po-Hao Chang, Troels Markussen, Søren Smidstrup, Kurt Stokbro, and Branislav K. Nikolić. Nonequilibrium spin texture within a thin layer below the surface of current- carrying topological insulator bi2se3: A first-principles quantum transport study. Phys. Rev. B, 92:201406, 2015. doi:10.1103/PhysRevB.92.201406. |

[FK07] | Liang Fu and Charles L Kane. Topological insulators with inversion symmetry. Physical Review B, 76(4):045302, 2007. doi:10.1103/PhysRevB.76.045302. |

[FKM07] | Liang Fu, Charles L Kane, and Eugene J Mele. Topological insulators in three dimensions. Physical Review Letters, 98(10):106803, 2007. doi:10.1103/PhysRevLett.98.106803. |

[HK10] | (1, 2) M. Z. Hasan and C. L. Kane. Colloquium: Topological insulators. Rev. Mod. Phys., 82:3045–3067, Nov 2010. doi:10.1103/RevModPhys.82.3045. |

[MB07] | Joel E Moore and Leon Balents. Topological invariants of time-reversal-invariant band structures. Physical Review B, 75(12):121306, 2007. doi:10.1103/PhysRevB.75.121306. |

[QZ11] | Xiao-Liang Qi and Shou-Cheng Zhang. Topological insulators and superconductors. Rev. Mod. Phys., 83:1057–1110, Oct 2011. doi:10.1103/RevModPhys.83.1057. |

[Roy09] | Rahul Roy. Topological phases and the quantum spin hall effect in three dimensions. Physical Review B, 79(19):195322, 2009. doi:10.1103/PhysRevB.79.195322. |

[ZYZ+10] | (1, 2) Wei Zhang, Rui Yu, Hai-Jun Zhang, Xi Dai, and Zhong Fang. First-principles studies of the three-dimensional strong topological insulators Bi2Te3, Bi2Se3 and Sb2Te3. New Journal of Physics, 12(6):065013, 2010. doi:10.1088/1367-2630/12/6/065013. |