Difference between revisions of "How to treat low dimensional systems"

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  $ yambo -F yambo_RIM.in -J 2D
  $ yambo -F yambo_RIM.in -J 2D


At the end in the 2D directory you will have a new database
At the end a new database is present in the 2D directory


   ndb.RIM
   ndb.RIM




Note that leaving RandGvec=1 we use the RIM only for the G=0 but if needed RIM can be used also for higher components.
Note that RandGvec=1 means use RIM only for the G=0 but if it can be used also for higher components  
(convergence of the observable should be checked).


Here we report the HF gap calculated with the 3 k-grids without (noRIM) and with Random Inetgration Method (RIM)
$ yambo -F yambo_cut2D.in -x -r
 
 
Unfortunately the presence of the numerical instability is evident only using denser k-grids with respect to that one
used in this Tutorial (6x6x1).
To see it you should generate other SAVE  directories with  denser k-grids  and check i.e. the HF gap.
Here we report the HF gap calculated with different k-grids without (noRIM) and with Random Inetgration Method (RIM) to show the problem.
             noRIM  RIM
             noRIM  RIM
   6x6x1   
   6x6x1   
  12x12x1
   15x15x1
   15x15x1
   30x30x1
   45x45x1
 
Unfortunately the presence of the numerical instability is evident only using denser k-grids with respect to that one
used in this Tutorial (6x6x1).
 
To see it generate new SAVE  directories for 15x15x1 and 30x030x1 k-grids and perform HF calculations
So home message : use always the RIM in MB simulations of low-dimensional materials.
 


So home message : use always the RIM in MB simulations of low-dimensional materials.


==Generate a truncated coulomb potential/ndb.cutoff database (yambo -r)==
==Generate a truncated coulomb potential/ndb.cutoff database (yambo -r)==

Revision as of 17:53, 27 March 2017

In this tutorial you will learn for a low-dimensional (2D) material how to:

  • Avoid numerical divergence using the Random Integration Method (RIM)
  • Generate a truncated coulomb potential with a box-like cutoff to eliminate the image-image interactions
  • Use the truncated coulomb potential in the GW calculation
  • Use the truncated coulomb potential in the BSE calculation
  • Analyze the difference with corresponding calculations without the use of a truncated potetnial

Prerequisites


Avoid numerical divergence using the Random Integration Method

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 of the coulomb potential (which appears in all the main equations, see i.e. the exchange self-energy equation) for small q.

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 
 RandQpts= 1000000            # [RIM] Number of random q-points in the BZ
 RandGvec= 1            RL    # [RIM] Coulomb interaction RS components 


Close input and Run yambo

$ yambo -F yambo_RIM.in -J 2D

At the end a new database is present in the 2D directory

 ndb.RIM


Note that RandGvec=1 means use RIM only for the G=0 but if it can be used also for higher components (convergence of the observable should be checked).

$ yambo -F yambo_cut2D.in -x -r 


Unfortunately the presence of the numerical instability is evident only using denser k-grids with respect to that one used in this Tutorial (6x6x1). To see it you should generate other SAVE directories with denser k-grids and check i.e. the HF gap. Here we report the HF gap calculated with different k-grids without (noRIM) and with Random Inetgration Method (RIM) to show the problem.

            noRIM   RIM
 6x6x1  
 12x12x1
 15x15x1
 45x45x1 

So home message : use always the RIM in MB simulations of low-dimensional materials.

Generate a truncated coulomb potential/ndb.cutoff database (yambo -r)

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

Vc1.png

Then the FT component is

Vc2.png

where

Vc3.png

For a 2D-system with non period direction along z-axis we have

Vc4.png

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


Creation of the input file:

$ yambo -F yambo_cut2D.in  -r

Open the input file yambo_cut2D.in

Change the variables inside as:

RandQpts= 1000000          # [RIM] Number of random q-points in the BZ
RandGvec= 100        RL    # [RIM] Coulomb interaction RS components
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

Run yambo:

$ yambo -F  yambo_cut2D.in  -J 2D

in the directory 2D you will find the two new databases

ndb.RIM		ndb.cutoff