How to treat low dimensional systems: Difference between revisions
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Before start the next section please enter in the ''2D'' directory and delete ''ndb.HF_and_locXC''. | Before start the next section please enter in the ''2D'' directory and delete ''ndb.HF_and_locXC''. | ||
==Generate a truncated coulomb potential | ==Generate a truncated coulomb potential == | ||
To simulate an isolated nano-material a convergence with cell vacuum size is in principle required, like in the DFT runs. | To simulate an isolated nano-material a convergence with cell vacuum size is in principle required, like in the DFT runs. | ||
The use of a truncated Coulomb potential allows to achieve faster convergence eliminating the interaction between the repeated images | The use of a truncated Coulomb potential allows to achieve faster convergence eliminating the interaction between the repeated images | ||
Revision as of 08:39, 31 March 2017
In this tutorial you will learn how to treat low-dimensional material. A small k-sampling is used to reduce the computational cost/time. Later on you can repeat this tutorial but using denser k-grids to check the convergence.
Prerequisites
SAVEfolder for 2D hBN generated with a 6x6x1 k-gridyamboexecutableyppexecutablegnuplot, for plotting spectra- Complete the How to obtain an optical spectrum - a guide through the workflow of calculations tutorial
Avoid numerical divergences using the Random Integration Method (RIM)
In DFT runs of low-dimensional materials low dimensional k-grids are generally used. (i.e. NxNx1 for a 2D sheet perpendicular to the z direction) This can create numerical problems in the convergence of the many-body results due to the divergence at small q of the coulomb potential (which appears in all the main equations, see i.e. the exchange self-energy equation).
To eliminate this problem YAMBO uses the so-called Random Integration Method which means to use a Monte Carlo Integration with Random Q-points whose number RandQpts is given in input.
Create the input to generate the ndb.RIM database
$ yambo -F yambo_RIM.in -r
and change the following variable RandQpts = 1000000 # [RIM] Number of random q-points in the BZ [Variables#RandGvec|RandGvec]] = 100 RL # [RIM] Coulomb interaction RS components N.B RandGvec=100 means to use the RIM for the first 100 G-components of the coulomb potential (Suggestion : later you can check convergence of the HF gap changing these two values) Close input and Run yambo
$ yambo -F yambo_RIM.in -J 2D
At the end you find a new database ndb.RIM and a new report file r-2D_rim_cut. Open it and look inside
[04.02] RIM integrals
=====================
Gamma point sphere radius [au]: 0.08028
Points outside the sphere : 800231
[Int_sBZ(q=0) 1/q^2]*(Vol_sBZ)^(-1/3) = 7.667102
should be < 7.795600
[WR./2D//ndb.RIM]-------------------------------------------
Brillouin Zone Q/K grids (IBZ/BZ): 7 36 7 36
Coulombian RL components : 209
Coulombian diagonal components :yes
RIM random points : 1000000
RIM RL volume [a.u.]: 0.390129
Real RL volume [a.u.]: 0.390112
Eps^-1 reference component :0
Eps^-1 components : 0.00 0.00 0.00
RIM anysotropy factor : 0.000000
- S/N 005962 -------------------------- v.04.01.02 r.00120 -
Summary of Coulomb integrals for non-metallic bands |Q|[au] RIM/Bare:
Q [1]:0.1000E-40.9835 * Q [2]: 0.256404 1.093779
Q [5]: 0.444104 1.031700 * Q [3]: 0.512807 1.023425
Q [6]: 0.678380 1.013439 * Q [4]: 0.769211 1.010447
Q [7]: 0.888208 1.007869
Close the report file and perform a calculation of the exchange self-energy to estimate the HF gap using the RIM. Generate the input
$ yambo -F yambo_HF.in -r -x -J 2D
In order to calculate the HF gap only for the last k-point, change the last line as
%[Variables#QPkrange|QPkrange]] # [GW] QP generalized Kpoint/Band indices 7| 7| 4| 5|
Close the input and run yambo
$ yambo -F yambo_HF.in -J 2D
At the end you will find the report file r-2D_HF_and_locXC_rim_cut and the output file o-2D.hf. Open them and have a look
# K-point Band Eo Ehf DFT HF 7.00000 4.00000 0.00000 -3.21640 -16.21949 -19.43589 7.00000 5.00000 4.40109 9.68783 -11.10752 -5.82078
The HF gap is 12.91 eV obtained subtracting the 2 values in the fourth column Doing a similar HF calculation without generating and reading the RIM database the HF gap results to be 12.69 eV. Indeed the presence of the numerical instability is evident only using denser k-grids with respect to the one used in this Tutorial (6x6x1) Suggestion: later you can generate other SAVE directories with denser k-grids and check the HF gap. The results of the HF gap calculated with different k-grids without (noRIM) and with Random Inetgration Method (RIM) to show up the problem are reported:
noRIM RIM 6x6x1 12.69eV 12.91eV 12x12x1 12.80eV 12.89eV 15x15x1 12.96eV 12.90eV 45x45x1 15.52eV 12.96eV
So the home message is : use always the RIM in MB simulations of low-dimensional materials. Before start the next section please enter in the 2D directory and delete ndb.HF_and_locXC.
Generate a truncated coulomb potential
To simulate an isolated nano-material a convergence with cell vacuum size is in principle required, like in the DFT runs. The use of a truncated Coulomb potential allows to achieve faster convergence eliminating the interaction between the repeated images along the non-periodic direction (see i.e. D. Varsano et al Phys. Rev. B and .. ) In this tutorial we learn how to generate a box-like cutoff for a 2D system with the non-periodic direction along z.
In YAMBO you can use :
- spherical cutoff (for 0D systems)
- cylindrical cutoff (for 1D systems)
- box-like cutoff (for 0D, 1D and 2D systems)
The Coulomb potential with a box-like cutoff is defined as
Then the FT component is
where
For a 2D-system with non period direction along z-axis we have
Important remarks:
- the Random Integration Method (RIM) is required to perform the Q-space integration
- for sufficiently large supercells a choose L_i slightly smaller than the cell size in the i-direction ensures to avoid interaction between replicas
Create the input file:
$ yambo -F yambo_cut2D.in -r -J 2D (N.B. adding option -J 2D allows to read the variables of the previous run)
Change the following variables as:
CUTGeo = "box z" # [CUT] Coulomb Cutoff geometry: box/cylinder/sphere X/Y/Z/XY.. % CUTBox 0.00 | 0.00 | 32.0 | # [CUT] [au] Box sides
Close the input file and run yambo:
$ yambo -F yambo_cut2D.in -J 2D
in the directory 2D you will find a new database ndb.cutoff
Use the truncated coulomb potential in a G0W0-PPA calculation
Generate the input reading ndb.RIM and ndb.cutoff previously generated:
$ yambo -J 2D -F yambo_G0W0.in -p p -g n -r -k hartree -V qp In the input change the following variables EXXRLvcs = 40 Ry # [XX] Exchange RL components NGsBlkXp = 4 Ry # [Xp] Response block size BndsRnXp 1 | 40 | # [Xp] Polarization function bands QPkrange # [GW] QP generalized Kpoint/Band indices 7| 7| 4| 5|
Close the input and run yambo
$ yambo -F yambo_G0W0.in -J 2D
At the end you find a new report file r-2D_em1d_ppa_HF_and_locXC_gw0_rim_cut. As usual open it and have a look. and also a new output file o-2D.qp. The G0W0 gap is now 4.40 eV (LDA) + 3.72 eV (G0W0 correction) = 8.12 eV As you have learned in the previous tutorials the correlation part of the self-energy strongly reduces the HF gap.
Use the truncated coulomb potential in a BSE calculation
Generate the input for the BSE calculation.
$ yambo -J 2D -F yambo_BSE.in -r -o b -p p -y d -k sex -V all
With -V all the largest verbosity is activated and a long input file is generated and only few variables need to be changed.
Note with -J 2D -p p we read the static part of the screening matrix from the ndb.pp database
Put the number of G-vectors in the exchange and correlation part of the kernel like in the h-BN bulk
BSENGexx= 40 Ry # [BSK] Exchange components BSENGBlk= 4 Ry # [BSK] Screened interaction block size
use the simple rigid scissor for the QP energies
% KfnQP_E 3.72000000 | 1.000000 | 1.000000 | # [EXTQP BSK BSS] E parameters (c/v) eV|adim|adim
Set the number of bands involved in the BSE matrix
% BSEBands 2 | 6 | # [BSK] Bands range
Increase the number of energy steps
BEnSteps= 500 # [BSS] Energy steps
To write excitonic WFs for Post-processing, uncomment the following line
#WRbsWF # [BSS] Write to disk excitonic the WFs
Close the input file and run yambo
$ yambo -J 2D -F yambo_BSE.in
Look at the report file r-2D_optics_bse_bsk_bss_em1d_ppa_rim_cut and use gnuplot to plot o-2D.eps_q1_diago_bse
Analyze the differences with corresponding GW and BSE calculations without the use of cutoff
Generate the ndb.RIM in a new directory 2D_NC
$ yambo -J 2D_NC -F yambo_RIM.in
Open the input file yambo_G0W0.in and set back CUTGeo= "none"
Close the input and run yambo
$ yambo -J 2D_NC -F yambo_G0W0.in
You will find a new report r-2D_NC_optics_bse_bsk_bss_em1d_ppa_rim_cut. You are invited to see the difference with the previous one r-2D_optics_bse_bsk_bss_em1d_ppa_rim_cut
and also a new output file o-2D_NC.qp is present. Open and check the QP correction this time A value of 2.81 instead of 3.72 eV is obtained
Are you able to explain this result?
Now redoo the BSE calculation but without cutoff.
Open the yambo_BSE.in and put CUTGeo= "none"
and set the QP correction obtained without cutoff
% KfnQP_E 2.830000 | 1.000000 | 1.000000 | # [EXTQP BSK BSS] E parameters (c/v) eV|adim|adim
Close the input file and run yambo
$ yambo -J 2D_NC -F yambo_BSE.in
Plot the dielectric functions
$ gnuplot gnuplot> plot 'o-2D_NC.eps_q1_diago_bse' u 1:4 w l title 'GW without cutoff' ,'o-2D.eps_q1_diago_bse' u 1:4 w l title ' GW with cutoff' gnuplot> replot 'o-2D_NC.eps_q1_diago_bse' u 1:2 w l title 'BSE without cutoff' ,'o-2D.eps_q1_diago_bse' u 1:2 w l title 'BSE with cutoff'
You will see
