band_structure_of_nanocrystals

The 'fuzzy band structure' of an nanocrystal (i.e. cluster without periodic boundary condition) can be obtained by Fourier transform of it's eigenstates. See Hapala et.al,Phys.Rev.B87,195420. In fireball there are two methods to do this projection.

**3D Fourier transform of molecular orbitals**- in this method we choose several molecular orbitals, project them on grid and let fireball execute Fast fourier transform on this grid. The problem is that the result is complex ( real part correspond to symmetric components of the real wavefunction and imaginary part to antisymetric componenets ). For easier visualization we compute square of absolute value, which corresponds to density of the state in k-space. This property is exported as .xsf file. There also other possible formats of outputs - as described further.**projection of Molecular orbitals on just selected planewaves sampled along some 1D lines in k-space**- again, molecular orbitals are first projected onto real space grid, then on this gird are multiplied by planewave and product is integrated.

this is implemented only in Prokop's personal versions of Fireball located in

/data/home/hapala/Fireball_dev/src_1.0-BSfinal /data/home/hapala/Fireball_dev/progs_Jellium_mod

Interface for outputing 3D fourier transform of MOs is modified form standard interface for outputting real-space projection of MOs. You have to switch on `iwrtewf = 1`

and set `iewform = 5`

. Than you choose particular set of MO to plot by `npbands`

and `pbands`

. The example `fireball.in`

looks like this:

`fireball.in`

&OPTION basisfile = answer.bas nstepf = 1 icluster = 1 ifixcharge = 1 dt = 0.5 &END &OUTPUT iwrtewf = 1 &END &MESH iewform = 5 npbands = 5 pbands = 159,160,161,162,163 &END

You have to provide also file called `kmap.optional`

where are written more speccific stettings. In this file you can choose `byEnerg`

option to automatically evaluate all orbitals in particular energy window `Emin`

and `Emax`

instead of listing all orbitals in `pbands`

variable. Then there are options of different output format - either 3D grid in `.xsf`

or 2D image `.ppn`

. Both options can be switched on simultaneously. In case you choose the `.ppn`

image the 3D grid is collapsed into 2D by evaluationg maximum along z-axis. You can also plot independently real and imaginary part of projection ( instead of just square of absolute value) by option `PlotImag `

.

Then there are some very specific options `GetMaxPos`

to output position of global maximum projection for each orbital, and `ValIn`

to output value of the projection in particular set of points in k-space. This options are here mostly for historical reasons, and I don't expect they will be much used in general. They are shortly described later, for completeness.

The example of `kmap.optional`

looks like:

1 # byEnerg - if 1 choose orbitals by energy range else choose by pbands list -8.59705 1.09186 # Emin Emax - energy range 0 # PlotXSF? - save .xsf files 0 # PlotPPN? - save 2D projections (max along z-axis) into .ppn image file for quick overview 0 # PlotImag? - save real and imaginery part to independent files fft_Im_XXXX.xsf and fft_Re_XXXX.xsf 1 # GetMaxPos - if 1 for each MO writes out position of global maximum of k-space density int kmaxs.dat 5.50 # alat - lattice constant in angstroem 0 # ValIn - write out value in different points defined in ksamples.optional

If you choose `ValIn`

option you have to specify points in k-space where the value of projection should be taken. This is done in `ksample.optional`

file. Example of `ksample.optional`

file is there:

`ksample.optional`

26 nksamples 2.0 0.0 0.0 # HOMOs Gamma 100 0.0 2.0 0.0 0.0 0.0 2.0 -2.0 0.0 0.0 0.0 -2.0 0.0 0.0 0.0 -2.0 1.0 1.0 1.0 # HOMOs Gamma 111 -1.0 1.0 1.0 1.0 -1.0 1.0 -1.0 -1.0 1.0 1.0 1.0 -1.0 -1.0 1.0 -1.0 1.0 -1.0 -1.0 -1.0 -1.0 -1.0 0.0 1.0 1.0 # LUMOs X 0.0 -1.0 1.0 0.0 1.0 -1.0 0.0 -1.0 -1.0 1.0 0.0 1.0 -1.0 0.0 1.0 1.0 0.0 -1.0 -1.0 0.0 -1.0 1.0 1.0 0.0 -1.0 1.0 0.0 1.0 -1.0 0.0 -1.0 -1.0 0.0

The code outputs fourier_XXXX.xsf if you choose `writeXSF`

and `orbfft_XXXX.ppm`

if you choose `writePPN`

option.
If you choose `PlotImag`

option you in addition get separate real and imaginary part of projection ( corresponds to symmetric and antisymmetric component ) in files `fft_Im_XXXX.xsf`

and `fft_Re_XXXX.xsf`

.

If you choose option `GetMaxPos`

you obtaion file `kmaxs.dat`

with following structure:

` kmaxs.dat `

iband, Ei imax, jmax, kmax, ValMax, rimax, rjmax, rkmax 107 -7.40951516 -3 -3 -3 2968.71621697 -0.70854607 -0.70769619 -0.70733483 108 -7.38731466 -4 -3 -2 3133.46757266 -0.94472810 -0.70769619 -0.47155655 109 -7.38677828 -4 -2 -3 3128.34104148 -0.94472810 -0.47179746 -0.70733483 110 -7.26838823 -4 -4 0 1878.06049291 -0.94472810 -0.94359492 0.00000000 ...

where `Ei`

is eigenvalue of the MO, (imax,jmax,kmax) is index of position of maximum inside the grid, `ValMax`

is value of projection in the maximum, and (rimax,rjmax,rkmax) are coordinates of the maximum in multiples of reciprocal lattice vector.

`ksamples.dat`

Ei rho(k1) rho(k2) rho(k3) rho(k4) rho(k5) rho(k6) -2.08815 16.68657904 3.16266264 10.09450414 16.68657904 3.16266264 10.09450414 ... -2.08681 5.87885299 17.02497532 10.22090870 5.87885299 17.02497532 10.22090870 ... -2.06449 28.89941918 27.76432636 29.01794378 28.89941918 27.76432636 29.01794378 ... ...

To evaluate band structure projections densly sampled along particular 1D hi-symmetry lines in reciprocal space, you have to again set 'iwrtewf = 1' as in previous case but with option 'iewform = 6'. So the 'fireball.in' file looks eg. like this:

`fireball.in`

&OPTION basisfile = answer.bas nstepf = 1 icluster = 1 ifixcharge = 1 dt = 0.5 &END &OUTPUT iwrtewf = 1 &END &MESH iewform = 6 &END

In addition you have to provide file `kscan.optional`

which contains information about the 1D cut directions. In principle it is possible take 1D cuts in arbitrary direction in k-space independent of the crystal symmetry. However, usually it make sense to respect crystal symmetry, and sample all the equivalent lines. In this particular example we choose all equivalent lines which conect the point X and Gamma in 2'nd reciprocal unit cell of silicon lattice. There is 48 such directions. Each of this lines is sampled by 100 equidistant k-points. And we choose to project all molecular orbitals in energy range from -8.000 to 1.000 eV. The example `kscan.optional`

then look like this:

`kscan.optional`

1 # byEnerg -8.0000 1.0000 # Emin Emax 5.50 # alat 48 100 # nlines nkpoints 2.0 0.0 0.0 1.0 1.0 0.0 2.0 0.0 0.0 1.0 -1.0 0.0 2.0 0.0 0.0 1.0 0.0 1.0 2.0 0.0 0.0 1.0 0.0 -1.0 0.0 2.0 0.0 1.0 1.0 0.0 0.0 2.0 0.0 -1.0 1.0 0.0 0.0 2.0 0.0 0.0 1.0 1.0 0.0 2.0 0.0 0.0 1.0 -1.0 0.0 0.0 2.0 -1.0 0.0 1.0 0.0 0.0 2.0 1.0 0.0 1.0 0.0 0.0 2.0 0.0 1.0 1.0 0.0 0.0 2.0 0.0 -1.0 1.0 -2.0 0.0 0.0 -1.0 1.0 0.0 -2.0 0.0 0.0 -1.0 -1.0 0.0 -2.0 0.0 0.0 -1.0 0.0 1.0 -2.0 0.0 0.0 -1.0 0.0 -1.0 0.0 -2.0 0.0 1.0 -1.0 0.0 0.0 -2.0 0.0 -1.0 -1.0 0.0 0.0 -2.0 0.0 0.0 -1.0 1.0 0.0 -2.0 0.0 0.0 -1.0 -1.0 0.0 0.0 -2.0 1.0 0.0 -1.0 0.0 0.0 -2.0 -1.0 0.0 -1.0 0.0 0.0 -2.0 0.0 1.0 -1.0 0.0 0.0 -2.0 0.0 -1.0 -1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0 1.0 0.0 -1.0 1.0 1.0 0.0 1.0 1.0 -1.0 1.0 1.0 -1.0 0.0 1.0 -1.0 1.0 1.0 -1.0 1.0 0.0 1.0 -1.0 1.0 0.0 -1.0 1.0 1.0 -1.0 1.0 1.0 0.0 1.0 1.0 -1.0 1.0 1.0 -1.0 0.0 -1.0 -1.0 1.0 0.0 -1.0 1.0 -1.0 -1.0 1.0 -1.0 0.0 1.0 -1.0 -1.0 1.0 -1.0 -1.0 0.0 1.0 1.0 -1.0 0.0 1.0 -1.0 1.0 1.0 -1.0 1.0 0.0 -1.0 1.0 1.0 -1.0 1.0 1.0 0.0 -1.0 1.0 -1.0 0.0 1.0 -1.0 -1.0 1.0 -1.0 -1.0 0.0 -1.0 -1.0 1.0 -1.0 -1.0 1.0 0.0 1.0 -1.0 -1.0 0.0 -1.0 -1.0 1.0 -1.0 -1.0 1.0 0.0 -1.0 1.0 -1.0 -1.0 1.0 -1.0 0.0 -1.0 -1.0 -1.0 0.0 -1.0 -1.0 -1.0 -1.0 -1.0 -1.0 0.0 -1.0 -1.0 -1.0 -1.0 -1.0 -1.0 0.0

Two kinds of outputfiles are produced. `klines_XXXXX.dat`

is producet for each molecular orbital, and in addition `klines_TOT.dat`

summarize results for all orbitals together. In the `klines_XXXXX.dat`

files the raw projection along each lines are written separately in colmuns (each row is different k-sample along the line, each column is different line). The format looks like this:

`klines_XXXXX.dat`

1 391.30476603 391.30476603 391.30476603 391.30476603 287.45162513 ... 2 391.20959758 391.21921233 390.08793464 391.61800721 295.99428664 ... 3 389.17880205 389.77130848 387.81208053 388.10778349 306.53352273 ... ...

Contrarly, in `klines_TOT.dat`

each row correspond to one molecular orbital (ordered by energy), the first column is the orbital energy eigenvalue, and in columns are projections corresponding to each k-sample along the line, aggreated (reduced) over all lines. In current implementation maximum over each line is used for aggregation (but it would make sense also to use summation). Naturally, this aggregated post processed information make sense only if all k-lines are equivalent.

`klines_TOT.dat`

Ei rho(k1) rho(k2) rho(k3) rho(k4) rho(k5) ... -7.99755 413.91048549 428.76133304 440.87314746 450.14882297 456.52837031 ... -7.99140 394.18797633 403.02567283 409.86012222 414.38007661 416.29758353 ... -7.97472 418.51477832 433.83793597 448.50901654 462.18377663 474.53904963 ... -7.96729 262.72449682 269.69434762 274.26597685 275.89514172 285.23659456 ... ...

The file `klines_TOT.dat`

is supposed to be used as a quick overview of the whole bandstructure, but detailed information should be read directly from `klines_XXXXX.dat`

. Note that even though in bulk material (e.g. bulk silicon) all k-lines can be equivalent due to the symmetry of the lattice, this symmetry is usually not conserved in case of finite nanocrystal with some surface passivation. For this reason the value of projection may be quite different for different k-lines, which would be equivalent from lattice symmetry point of view. An other reason why the symmetric k-lines may not be equivalenet is that there are several symmetry degenerated states, and eingenvalue solver choose some arbitrary linear combination of these eingenvectors diregarding the symmetry.

For easy and quick plotting of results from 'klines_TOT.dat' file you may use this simple python. To make it work you will need installed pylab

#!/usr/bin/python from pylab import * import numpy dE = 0.02 # [ eV ]choose width of energy-bins for plotting F = transpose(genfromtxt( 'klines_TOT.dat' )) Es = F[0] Ps = transpose(F[1:]) Emin =Es.min(); Emax =Es.max() Pgrid = zeros( ( int( (Emax-Emin)/dE )+1 , shape(Ps)[1] ) ) n = len(Es) for i in range(n): iE = int((Es[i]-Emin)/dE) #Pgrid[iE] += Ps[i] # overlaping (=degenerated) states are summed up Pgrid[iE] = numpy.vstack([Pgrid[iE],Ps[i] ]).max(axis=0) # for overlaping (=degenerated) states is taken maximum # choose color map reference here http://wiki.scipy.org/Cookbook/Matplotlib/Show_colormaps cmap='spectral' figure( figsize=(5,10) ) extent = ( 0,2, Emin, Emax ) imshow( Pgrid, origin='image', extent=extent, cmap = cmap ) xticks([0,2] , ['$\Gamma$','X'], fontsize=16) # x-axis ticks Gamma and X vector colorbar() savefig('FuzzyBand.png', bbox_inches='tight' ) show()

band_structure_of_nanocrystals.txt · Last modified: 2014/11/20 15:43 (external edit)