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# ACFDT/RPA calculations

The ACFDT-RPA groundstate energy ($E_{\mathrm {RPA} }$ ) is the sum of the ACFDT-RPA correlation energy $E_{c}$ and the Hartree-Fock energy evaluated non self-consistently using DFT orbitals $E_{\mathrm {EXX} }$ :

$E_{\mathrm {RPA} }=E_{\mathrm {c} }+E_{\mathrm {EXX} }$ .

Note that, $E_{\mathrm {EXX} }$ here includes also the Hartree energy, the kinetic energy, as well as the Ewald energy of the ions, whereas often in literature $E_{\mathrm {EXX} }$ refers only to the exact exchange energy evaluated using DFT orbitals.

If ALGO=RPA is set in the INCAR file, VASP calculates the correlation energy in the random phase approximation. To this end, VASP calculates first the independent particle response function, using the virtual (unoccupied) states found in the WAVECAR file, and then determines the correlation energy using the plasmon fluctuation equation:

$E_{c}={\frac {1}{2\pi }}\int _{0}^{\infty }\mathrm {Tr} \,\ln(1-\chi (i\omega )V)+\chi (i\omega )V\,d\omega$ .

## General Recipe to Calculate ACFDT-RPA Total Energies

As of VASP.6, an RPA energy calculation can be done in one single step using a similar INCAR file as follows

 ALGO = RPAR # or ACFDTR
EDIFF = 1E-7


VASP.6 will read the WAVECAR file, perform a self-consistent DFT calculation by iterating until convergence is reached, diagonalize the DFT Hamiltonian in the basis set spanned by all orbitals, and finally proceed with the RPA calculation.

There are several caveats to this fully integrated approach:

• No support for ACFDT/RPA on top of hybrid functionals, only LDA and gradient corrected functionals are presently supported.
• To select the new all-in-one approach, it is important "not to set NBANDS" in the RPA step.
• The basis set used in the diagonalization is strictly given by all plane waves; the user has no option to reduce the basis set size.
• The exchange energy is only calculated, if the low scaling RPA is selected.
• As of 6.3, the head of the dielectric function (G=0 component) can be calculated by setting LOPTICS = .TRUE.

### Recipe to Calculate ACFDT-RPA Total Energies in VASP.5

If NBANDS is set in the INCAR file, VASP.6 proceeds with reading the WAVECAR file found in the directory (if not present, random orbitals are used!), and then calculating the correlation energy using these orbitals and one-electron energies. This is compatible with VASP.5 where four individual steps were required to calculate the exchange and correlation energy. The remainder of this subsection explains this four step procedure required in VASP.5 (available in VASP.6 by setting NBANDS in the RPA step).

• First step (a standard DFT run): All occupied orbitals (and as usual in VASP, a few unoccupied orbitals) of the DFT-Hamiltonian are calculated:
EDIFF = 1E-8
ISMEAR = 0 ; SIGMA = 0.05


This can be done with your favorite setup, but we recommend to attain very high precision (small EDIFF flag) and to use a small smearing width (SIGMA flag), and to avoid higher order Methfessel-Paxton smearing (see also ISMEAR): Methfessel-Paxton smearing can lead to negative one-electron occupancies, which can result in unphysical correlation energies. We suggest to use PBE orbitals as input for the ACFDT-RPA run, but other choices are possible as well, e.g. LDA or hybrid functionals such as HSE. For hybrid functionals, we suggest to carefully consider the caveats mentioned in reference , specifically the RPA dielectric matrix yields too weak screening for hybrid functionals potentially deteriorating RPA results.

• Second step: the Hartree Fock energy $E_{\mathrm {EXX} }$ is calculated using the predetermined DFT orbitals:
ALGO  = EIGENVAL ; NELM = 1
LWAVE=.FALSE.                  ! avoid accidental update of WAVECAR
LHFCALC = .TRUE. ; AEXX = 1.0  ! you my set ALDAC = 0.0 but the default is 1-AEXX
ISMEAR = 0 ; SIGMA = 0.05


For insulators and semiconductors with a sizable gap, faster convergence of the Hartree-Fock energy can be obtained by setting HFRCUT=-1, although this slows down k-point convergence for metals.

• Third step: Search for maximum number of plane-waves: in the OUTCAR file of the first step, and run VASP again with the following INCAR file to determine all virtual states by an exact diagonalization of the Hamiltonian (DFT or hybrid, make certain to use the same Hamiltonian as in step 1):
NBANDS = maximum number of plane-waves (times 2 for gamma-only calculations)
ALGO = Exact    ! exact diagonalization
NELM = 1        ! one step suffices since WAVECAR is pre-converged
LOPTICS = .TRUE.
ISMEAR = 0 ; SIGMA = 0.05


For calculations using the gamma-point only version of vasp, NBANDS must be set to twice the maximum number of plane-waves: (found in the OUTCAR file) in step 1. For metals, we recommend to avoid setting LOPTICS=.TRUE., since this slows down k-point convergence.

• Fourth step: Calculate the ACFDT-RPA correlation energy:
NBANDS =  maximum number of plane-waves
ALGO = ACFDT
NOMEGA = 8-24  ! for large gap insulators NOMEGA = 8 will suffice, for semiconductors 10-12 suffices
ISMEAR = 0 ; SIGMA = 0.05


### Recipe to Calculate ACFDT-RPA Total Energies in VASP.6

The all-in-one approach is only available in VASP.6, and it is particularly convenient for the new RPAR and GWR algorithms.

ALGO = RPAR
NOMEGA = 8-24  ! for large gap insulators NOMEGA = 8 will suffice, for semiconductors 10-12 suffices
EDIFF = 1E-7
LOPTICS = .TRUE. ! optional if inclusion of head of dielectric function is requested
LPEAD = .TRUE.   ! required for 6.1 and 6.2 if LOPTICS = .TRUE.
ISMEAR = 0 ; SIGMA = 0.05


The above INCAR file selects the all in one RPA approach. Please note that the tag NBANDS must not be set in the INCAR file. The head of the dielectric function can be calculated only for insulators by setting LOPTICS and only the pead method is supported (LPEAD). Furthermore, EDIFF should be small to calculate the DFT orbitals with high precision. Although it is not strictly required, we recommend to read a well converged DFT WAVECAR file.

Caveats: As of vasp.6.2, the all-in-one approach does not support all hybrid functionals. To be more specific, Hartree-Fock as well as hybrid functionals without range separation work properly, however, range separated hybrid functionals (including HSE, LMODELHF) yield erroneous results or potentially even crash. Please compare the total energies in a standard DFT/hybrid functional calculation against the energies obtained for the mean field step in the all-in-one approach: the energies must be exactly the same; if they differ, fall back to the four step procedure that is explained above. The second caveat is that the all-in-one procedure, automatically sets LMAXFOCKAE and NMAXFOCKAE. This changes the energies for hybrid functionals and Hartree-Fock, slightly. Hence, you need to set LMAXFOCKAE (LMAXFOCKAE = 4) also in the preparatory (or reference) ground state calculation.

### Output analysis

The energy is calculated for 8 different cutoff energies and a linear regression is used to extrapolate the results to the infinite cutoff limit (see section below). A successful RPA calculation writes following lines into the OUTCAR:

      cutoff energy     smooth cutoff   RPA   correlation   Hartree contr. to MP2
---------------------------------------------------------------------------------
316.767           316.767      -17.5265976349      -26.2640927215
301.683           301.683      -17.3846505665      -26.0990489039
287.317           287.317      -17.2429031341      -25.9344769084
273.635           273.635      -17.0686574017      -25.7325162480
260.605           260.605      -16.8914915810      -25.5277026697
248.195           248.195      -16.7202601717      -25.3302982602
236.376           236.376      -16.5559849344      -25.1415392478
225.120           225.120      -16.3635400223      -24.9210737434
linear regression
converged value                          -19.2585393615      -28.2627347266


Here the third and forth columns correspond to the correlation energy (for that specific cutoff energy) in the RPA and the direct MP2 approximation (second order term in RPA). The corresponding results of the linear regression are found in the line starting with "converged value".

## Low scaling ACFDT/RPA algorithm

Virtually the same flags and procedures apply to the new low scaling RPA algorithm implemented in vasp.6. However, ALGO=ACFDT or ALGO=RPA needs to be replaced by either ALGO=ACFDTR or ALGO=RPAR.

With this setting VASP calculates the independent particle polarizability $\chi (i\omega )$ using Green's functions $G(i\tau )$ on the imaginary time axis $i\tau$ by the contraction formula

$\chi (i\tau _{m})=-G(i\tau _{m})G(-i\tau _{m})$ Subsequently a compressed Fourier transformation on the imaginary axes $\tau _{m},\omega _{n}$ yields

$\chi (i\omega _{n})=\sum _{m=1}^{N}\gamma _{nm}\chi (i\omega _{m})$ The remaining step is the evaluation of the correlation energy and is the same as described above.

Crucial to this approach is the accuracy of the Fourier transformation from $\chi (i\tau )\to \chi (i\omega )$ , which in general depends on two factors.

First, the grid order $N$ that can be set by NOMEGA in the INCAR file. Here, similar choices as for the ACFDT algorithms are recommended. Second, the grid points $\tau _{m},\omega _{n}$ and Fouier matrix $\gamma _{nm}$ have to be optimized for the same interval as spanned by all possible transition energies in the polarizability. The minimum (maximum) transition energy can be set with the OMEGAMIN (OMEGATL) tag and should be smaller (larger) than the band gap (maximum transition energy) of the previous DFT calculation. VASP determines these values automatically and writes it in the OUTCAR after the lines

Response functions by GG contraction:


These values should be checked for consistency. Furthermore we recommend to inspect the grid and transformation errors by looking for following lines in the OUTCAR file

nu_ 1=  0.1561030E+00 ERR=   0.6327933E-05 finished after   1 steps
nu_ 2= ...
Maximum error of frequency grid:  0.3369591E-06


Every frequency point will have a similar line as shown above for the first point. The value after ERR= corresponds to the maximum Fourier transformation error and should be of similar order as the maximum integration error of the frequency grid.

### Output analysis

Selecting the low-scaling RPA algorihtm, VASP computes the total energy in the Random Phase approximation and writes following output

 -----------------------------------------------------
HF-free energy      FHF    =       -25.11173505 eV
HF+RPA corr. energy TOTEN  =       -36.96463791 eV
HF+E_corr(extrapolated)    =       -37.70506951 eV


The line HF+RPA corr. energy TOTEN contains the total energy calculated with the largest cutoff ENCUTGW. The line HF+E_corr(extrapolated) contains the total energy with the extrapolated value for the RPA correlation energy.

### Optional: RPA Forces

Optionally, RPA forces can be calculated by adding following line to the INCAR:

 LRPAFORCE = .TRUE.


For RPA forces the change in the one-electron density is required. This is performed with the linear response routine within VASP automatically. After a successful run following block of data is found in the OUTCAR.

POSITION                                       TOTAL RPA FORCE (eV/Angst)
-----------------------------------------------------------------------------------
0.17542     -0.22348      0.17542        -0.292069      7.581315     -0.292069
1.12850      1.31044      1.12850         0.304683     -7.605527      0.304683
-----------------------------------------------------------------------------------
total drift:                                0.012614     -0.024212      0.012614

SUGGESTED UPDATED POSCAR (direct coordinates)  step
-----------------------------------------------------------------------------------
-0.00958461  -0.00958461   0.13485779         0.04179056   0.04179056   0.00283088
0.25787833   0.25787833   0.22191754        -0.04337198  -0.04337198   0.00431513

 Warning: The RPA forces computed for metallic systems are currently not supported.

### Memory bottleneck and Parallelization

The cubic scaling space-time RPA as well as GW algorithm require considerably more memory than the correspondong quartic-scaling implementations, two Green's functions $G({\bf {r,r'}},i\tau _{n})$ have to be stored in real-space. To reduce the memory overhead, VASP exploits Fast Fourier Transformations (FFT) to avoid storage of the matrices on the (larger) real space grid, on the one hand. The precision of the FFT can be selected with PRECFOCK, where usually the values Fast sufficient.

On the other hand, the code avoids storage of redundant information,i.e. both the Green's function and polarizability matrices are distributed as well as the individual imaginary grid points. The distribution of the imaginary grid points can be set by hand with the NTAUPAR and NOMEGAPAR tags, which splits the imaginary grid points NOMEGA into NTAUPAR time and NOMEGAPAR groups. For this purpose both tags have to be divisors of NOMEGA.

The default values are usually reasonable choices provided the tag MAXMEM is set correctly and we strongly recommend to set MAXMEM instead of NTAUPAR.

 Important: As of version 6.2, MAXMEM is estimated automatically (if not set) from the "MemAvailable" entry of the Linux kernel in "/proc/meminfo".

The required storage for an low-scaling RPA or GW calculation depends mostly on NTAUPAR, the number of MPI groups that share same imaginary time points. A rough estimate for the required bytes is given by

(NGX*NGY*NGZ)*(NGX_S*NGY_S*NGZ_S) / ( NCPU  / NTAUPAR ) * 16


where "NCPU" is the number of MPI ranks used for the job,"NGX,NGY,NGZ" denotes the number of FFT grid points for the exact exchange and "NGX_S,NGY_S,NGZ_S" the number of FFT grid points for the supercell. Note, both grids are written to the OUTCAR file after the lines

FFT grid for exact exchange (Hartree Fock)
FFT grid for supercell:


The smaller NTAUPAR is set, the less memory per node the job requires to finish successfully.

The approximate memory requirement is calculated in advance and printed to screen and OUTCAR as follows:

min. memory requirement per mpi rank 1234 MB, per node 9872 MB


## Some Issues Particular to ACFDT-RPA Calculations on Metals

For metals, the RPA groundstate energy converges the fastest with respect to k-points, if the exchange (Eq. (12) in reference ) and correlation energy are calculated on the same k-point grid, HFRCUT= is not set, and the long-wavelength contributions from the polarizability are not considered (see reference ).

To evaluate Eq. (12), a correction energy for $E_{\mathrm {EXX} }$ related to partial occupancies has to be added to the RPA groundstate energy:

$E_{\mathrm {RPA} }=E_{\mathrm {c} }+E_{\mathrm {EXX} }+E_{\mathrm {HFc} }$ .

In vasp.5.4.1, this value is calculated for any HF type calculation (step 2) and can be found in the OUTCAR file after the total energy (in the line starting with exchange ACFDT corr. =).

To neglect the long-wavelength contributions, simply set LOPTICS=.FALSE. in the ALGO=Exact step (third step), and remove the WAVEDER files in the directory.

## Possible tests and known issues

### Basis set convergence

The expression for the ACFDT-RPA correlation energy written in terms of reciprocal lattice vectors reads:

$E_{\rm {c}}^{\rm {RPA}}=\int _{0}^{\infty }{\frac {\mathrm {d} \omega }{2\pi }}\sum _{{\mathbf {q} }\in \mathbf {BZ} }\sum _{\mathbf {G} }\left\{(\mathrm {ln} [1-{\tilde {\chi }}^{0}({\mathbf {q} },\mathrm {i} \omega )V({\mathbf {q} })])_{\mathbf {G,G} }+V_{\mathbf {G,G} }({\mathbf {q} }){\tilde {\chi }}^{0}({\mathbf {q} },{\mathrm {i} }\omega )\right\}$ .

The sum over reciprocal lattice vectors has to be truncated at some $\mathbf {G} _{\mathrm {max} }$ , determined by ${\frac {\hbar ^{2}|{\mathbf {G} }+{\mathbf {q} }|^{2}}{2\mathrm {m} _{e}}}$ < ENCUTGW, which can be set in the INCAR file. The default value is ${\frac {2}{3}}\times$ ENCUT, which experience has taught us not to change. For systematic convergence tests, instead increase ENCUT and repeat steps 1 to 4, but be aware that the "maximum number of plane-waves" changes when ENCUT is increased. Note that it is virtually impossible, to converge absolute correlation energies. Rather concentrate on relative energies (e.g. energy differences between two solids, or between a solid and the constituent atoms).

Since correlation energies converge very slowly with respect to $\mathbf {G} _{\rm {max}}$ , VASP automatically extrapolates to the infinite basis set limit using a linear regression to the equation: 

$E_{\mathrm {c} }({\mathbf {G} })=E_{\mathrm {c} }(\infty )+{\frac {A}{{\mathbf {G} }^{3}}}$ .

Furthermore, the Coulomb kernel is smoothly truncated between ENCUTGWSOFT and ENCUTGW using a simple cosine like window function (Hann window function). Alternatively, the basis set extrapolation can be performed by setting LSCK=.TRUE., using the squeezed Coulomb kernel method.

The default for ENCUTGWSOFT is 0.8$\times$ ENCUTGW (again we do not recommend to change this default).

The integral over $\omega$ is evaluated by means of a highly accurate minimax integration. The number of $\omega$ points is determined by the flag NOMEGA, whereas the energy range of transitions is determined by the band gap and the energy difference between the lowest occupied and highest unoccupied one-electron orbital. VASP determines these values automatically (from vasp.5.4.1 on), and the user should only carefully converge with respect to the number of frequency points NOMEGA. A good choice is usually NOMEGA=12, however, for large gap systems one might obtain $\mu$ eV convergence per atom already using 8 points, whereas for metals up to NOMEGA=24 frequency points are sometimes necessary, in particular, for large unit cells.

Strictly adhere to the steps outlines above. Specifically, be aware that steps two and three require the WAVECAR file generated in step one, whereas step four requires the WAVECAR and WAVEDER file generated in step three (generated by setting LOPTICS=.TRUE.).

Convergence with respect to the number of plane waves can be rather slow, and we recommend to test the calculations carefully. Specifically, the calculations should be performed at the default energy cutoff ENCUT, and at an increased cutoff (ideally the default energy cutoff $\times 1.3$ ). Another issue is that energy volume-curves are sometimes not particularly smooth. In that case, the best strategy is to set

ENCUT = 1.3 times default cutoff energy
ENCUTGWSOFT = 0.5 times default cutoff energy


where the default cutoff energy is the usual cutoff energy (maximum ENMAX in POTCAR files). The frequency integration also needs to be checked carefully, in particular for small gap systems (some symmetry broken atoms) convergence can be rather slow, since the one-electron band gap can be very small, requiring a very small minimum $\omega$ in the frequency integration.

## Related Tags and Sections

• ALGO for response functions and ACFDT calculations
• NOMEGA, NOMEGAR number of frequency points
• LHFCALC, switches on HF calculations
• LOPTICS, required in the DFT step to store head and wings
• ENCUTGW, to set cutoff for response functions
• ENCUTGWSOFT
• PRECFOCK controls the FFT grids in HF, GW, RPA calculations
• NTAUPAR controls the number of imaginary time groups in space-time GW and RPA calculations
• NOMEGAPAR controls the number of imaginary frequency groups in space-time GW and RPA calculations
• MAXMEM sets the available memory per MPI rank on each node
• LFINITE_TEMPERATURE switches on Matsubara (finite temperature) formalism