Constrained–random-phase–approximation formalism: Difference between revisions
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The constrained random-phase approximation ( | The constrained random-phase approximation (cRPA) is a method that allows to calculate the effective interaction parameter U, J and J' for model Hamiltonians. | ||
The main idea is to neglect screening effects of specific '''target states''' in the screened Coulomb interaction W of the [[The GW approximation of Hedin's equations|GW method]]. | The main idea is to neglect screening effects of specific '''target states''' in the screened Coulomb interaction W of the [[The GW approximation of Hedin's equations|GW method]]. | ||
The resulting partially screened Coulomb interaction is usually evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. | The resulting partially screened Coulomb interaction is usually evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. | ||
Usually, the target space is low-dimensional (up to 5 states) and therefore allows for the application of a higher level theory, such as dynamical mean field theory (DMFT). | Usually, the target space is low-dimensional (up to 5 states) and therefore allows for the application of a higher level theory, such as dynamical mean field theory (DMFT). | ||
==Model Hamiltonians== | ==Model Hamiltonians== | ||
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=== Wannier basis and target space === | === Wannier basis and target space === | ||
To use model Hamiltonians successfully a localized basis set is chosen. | To use model Hamiltonians successfully a localized basis set is chosen. | ||
In most applications this basis set consists of [[ | In most applications this basis set consists of [[Wannier_functions|Wannier states]] that are connected with the Bloch functions <math>\psi_{n\bf k}^\sigma ({\bf r}) = e^{i{\bf k r}} u_{n\bf k}({r})</math> of band <math>n</math> at k-point <math>k</math> with spin <math>\sigma</math> via | ||
::<math> | ::<math> | ||
| w_{i\bf R}^\sigma \rangle = \frac{1}{N_k}\sum_{n\bf k} e^{-i {\bf k R}} T_{i n}^{\sigma({\bf k})} | \psi_{n\bf k}^\sigma \rangle | | w_{i\bf R}^\sigma \rangle = \frac{1}{N_k}\sum_{n\bf k} e^{-i {\bf k R}} T_{i n}^{\sigma({\bf k})} | \psi_{n\bf k}^\sigma \rangle | ||
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</math> | </math> | ||
{{NB|mind|Here, T instead of the widely used U notation for the transformation matrix is used to avoid confusion with the Hubbard parameter.}} | {{NB|mind|Here, T instead of the widely used U notation for the transformation matrix is used to avoid confusion with the Hubbard parameter.}} | ||
In practice one builds a model Hamiltonian only for a small subset of Bloch functions. These '''target states''' are typically centered around the chemical potential (or Fermi energy) and are strongly localized around ions. The model Hamiltonian can be solved successfully | In practice, one builds a model Hamiltonian only for a small subset of Bloch functions. These '''target states''' are typically centered around the chemical potential (or Fermi energy) and are strongly localized around ions. The model Hamiltonian can be solved successfully only if the target states are well represented by the Wannier basis. | ||
As a measure of the Wannier representation one usually compares the original band structure with the Wannier interpolated one. | As a measure of the Wannier representation, one usually compares the original band structure with the Wannier interpolated one. | ||
In the following example (SrVO3) the target space consists of three Bloch bands (red bands) that may be represented well by three Wannier states: | In the following example (SrVO3), the target space consists of three Bloch bands (red bands) that may be represented well by three Wannier states: | ||
[[File:SrVO3_t2g_bands.png|250px]] | [[File:SrVO3_t2g_bands.png|250px]] | ||
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The selection of target states in the Wannier basis is done with the {{TAG|NTARGET_STATES}}. | The selection of target states in the Wannier basis is done with the {{TAG|NTARGET_STATES}}. | ||
If a modification of the band structure is acceptable within an energy window, these five target states might be '''disentangled''' from the remaining ones and one arrives at following picture: | If a modification of the band structure is acceptable within an energy window, these five target states might be '''disentangled''' from the remaining ones, and one arrives at the following picture: | ||
[[File:Ni_d_bands_decoupled.png|250px]] | [[File:Ni_d_bands_decoupled.png|250px]] | ||
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Here the original Bloch bands (gray lines) are projected to five non-crossing Wannier states. | Here the original Bloch bands (gray lines) are projected to five non-crossing Wannier states. | ||
In the following <math>\cal T</math> denotes | In the following <math>\cal T</math> denotes the '''target space''', that is, the states described by the model Hamiltonian. | ||
=== Parameter definitions === | === Parameter definitions === | ||
The calculation of the hopping matrix <math>t</math> depends on the theory that is used to solve the effective model. | |||
For instance, in DFT+DMFT (often termed LDA+DMFT) one calculates the hopping matrix from Kohn-Sham energies, while in GW+DMFT [[GW approximation of Hedin's equations|GW quasi-particle energies]] are used. | For instance, in DFT+DMFT (often termed LDA+DMFT) one calculates the hopping matrix from Kohn-Sham energies, while in GW+DMFT [[GW approximation of Hedin's equations|GW quasi-particle energies]] are used. | ||
If <math>\epsilon^\sigma_{n\bf k}</math> denotes these one-electron energies and <math>\mu^\sigma</math> is the corresponding Fermi energy, | If <math>\epsilon^\sigma_{n\bf k}</math> denotes these one-electron energies and <math>\mu^\sigma</math> is the corresponding Fermi energy, | ||
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::<math> | ::<math> | ||
U_{ijkl}^{\sigma\sigma'} = \frac{1}{N^3_k}\sum_{{\bf k k q}}\sum_{n_1n_2n_3n_4} | U_{ijkl}^{\sigma\sigma'} = \frac{1}{N^3_k}\sum_{{\bf k k q}}\sum_{n_1n_2n_3n_4} | ||
T_{in_1}^{*({\bf k})} | T_{in_1}^{*\sigma({\bf k})} | ||
T_{jn_2}^{({\bf k-q})} | T_{jn_2}^{\sigma({\bf k-q})} | ||
\langle | \langle u^\sigma_{n_1\bf k}| e^{-i({\bf q + G})\cdot {\bf r}} |u^\sigma_{n_2\bf k-q}\rangle | ||
U^{\sigma\sigma'}_{{\bf G G}'}({\bf q}) | |||
\langle | \langle u^{\sigma'}_{n_3\bf k'-q}| e^{i({\bf q - G'})\cdot {\bf r'} }|u^{\sigma'}_{n_4\bf k'}\rangle | ||
T_{kn_3}^{*({\bf k'-q})} | T_{kn_3}^{*\sigma'({\bf k'-q})} | ||
T_{ln_4}^{({\bf k'})} | T_{ln_4}^{\sigma'({\bf k'})} | ||
</math> | </math> | ||
{{NB|mind|The effective Coulomb kernel is frequency dependent and thus the effective interaction in the model as well.}} | {{NB|mind|The effective Coulomb kernel is frequency dependent and thus the effective interaction in the model as well.}} | ||
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In analogy to the [[GW approximation of Hedin's equations#W_reci|screened Coulomb kernel in GW]], the effective coulomb kernel is calculated as | In analogy to the [[GW approximation of Hedin's equations#W_reci|screened Coulomb kernel in GW]], the effective coulomb kernel is calculated as | ||
::<math> | ::<math> | ||
U^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},\omega)=\left[\delta_{{\bf G}{\bf G}'}-(\chi^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},\omega) - \tilde\chi^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},\omega) ) \cdot V_{{\bf G}{\bf G}'}({\bf q})\right]^{-1}V_{{\bf G}{\bf G}'}({\bf q}) | U^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},i\omega)=\left[\delta_{{\bf G}{\bf G}'}-(\chi^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},i\omega) - \tilde\chi^{\sigma\sigma'}_{{\bf G}{\bf G}'}({\bf q},i\omega) ) \cdot V_{{\bf G}{\bf G}'}({\bf q})\right]^{-1}V_{{\bf G}{\bf G}'}({\bf q}) | ||
</math> | </math> | ||
In contrast to the GW method, however, the polarizability contains all RPA screening effects | In contrast to the GW method, however, the polarizability contains all RPA screening effects except those from the target space. These effects are described by <math>\tilde \chi</math>. | ||
In the following four cRPA methods are presented for the calculation of <math>\tilde \chi</math>. | |||
Note, all methods below reduce to the '''band method''' if the target space forms an isolated set of bands. | |||
=== Band method === | === Band method === | ||
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\rangle | \rangle | ||
</math> | </math> | ||
This approach is most accurate for an isolated target space <math>\cal T</math> | This approach is most accurate for an isolated target space <math>\cal T</math> as depicted in the first example above. | ||
{{NB|mind|Target bands can be selected with {{TAG|NCRPA_BANDS}}.}} | {{NB|mind|Target bands can be selected with {{TAG|NCRPA_BANDS}}.}} | ||
{{NB|warning|This method is not | {{NB|warning|This method is not recommended for systems with entangled target states.}} | ||
=== Disentanglement method === | === Disentanglement method === | ||
Miyake, Aryasetiawan and Imada{{cite|miyake:prb:80}} propose to disentangle the target space from the full space | Miyake, Aryasetiawan, and Imada{{cite|miyake:prb:80}} propose to disentangle the target space from the full space by diagonalizing the Hamiltonian in both spaces independently. | ||
This yields a band disentangled band structures similar to the one shown in the third example above. | This yields a band disentangled band structures similar to the one shown in the third example above. | ||
The corresponding target polarizability reduces to a constrained Alder and Wiser expression{{cite|adler:1962}}{{cite|wiser:1963}} | The corresponding target polarizability reduces to a constrained Alder and Wiser expression{{cite|adler:1962}}{{cite|wiser:1963}} | ||
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where <math>\tilde \epsilon_{n\bf k}^\sigma</math> is the disentangled band structure. | where <math>\tilde \epsilon_{n\bf k}^\sigma</math> is the disentangled band structure. | ||
The resulting Hubbard-Kanamori interactions depend on the chosen energy window of the Wannier functions. | The resulting Hubbard-Kanamori interactions depend on the chosen energy window of the Wannier functions. | ||
{{NB|mind|Typically, this method yields the largest Hubbard-Kanamori interactions.}} | {{NB|mind|Typically, this method yields the largest Hubbard-Kanamori interactions and is selected with {{TAG|LDISENTANGLED}} tag.}} | ||
=== Weighted method === | === Weighted method === | ||
Sasioglu, Friedrich and Blügel propose an alternative approach | Sasioglu, Friedrich and Blügel propose an alternative approach.{{cite|sasioglu:prb:83}} | ||
::<math>\tilde \chi^\sigma_{{\bf G,G}'}({\bf q},i\omega) | They calculate the screening effects within the target space as follows: | ||
::<math>\tilde \chi^\sigma_{{\bf G,G}'}({\bf q},i\omega)= | |||
\frac 1{N_k}\sum_{nn'{\bf k}} | \frac 1{N_k}\sum_{nn'{\bf k}} | ||
\frac{ | \frac{ | ||
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</math> | </math> | ||
measure the probability for <math>|\psi_{n\bf k}^\sigma\rangle</math> being in the target space. | measure the probability for <math>|\psi_{n\bf k}^\sigma\rangle</math> being in the target space. | ||
This method does not alter the band structure, however, neglects screening effects within the target space as shown in next section. | This method does not alter the band structure, however, neglects screening effects within the target space as shown in next section. | ||
Typically, the weighted cRPA method yields the smallest Hubbard-Kanamori interactions. | |||
{{NB|mind|This method is selected with the {{TAG|LWEIGHTED}} tag.}} | |||
=== Projector method === | === Projector method === | ||
A consistent expression for the target polarizability gives rise to the projector-cRPA method. | A consistent expression for the target polarizability gives rise to the projector-cRPA (p-cRPA) method. | ||
The main goal is to subdivide the target from the full Fock space in a Wannier basis. | The main goal is to subdivide the target from the full Fock space in a Wannier basis. | ||
To this end, we work with the target projectors | To this end, we work with the target projectors | ||
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</math> | </math> | ||
that filter out target space contributions to each Bloch state. Using these projectors, | that filter out target space contributions to each Bloch state. Using these projectors, | ||
the target polarizability for the projector method reads | the target polarizability for the projector method reads{{cite|kaltak:thesis2015}} | ||
::<math>\tilde \chi^\sigma_{{\bf G,G}'}({\bf q},i\omega)= | ::<math>\tilde \chi^\sigma_{{\bf G,G}'}({\bf q},i\omega)= | ||
\frac 1{N_k}\sum_{nn'{\bf k}} | \frac 1{N_k}\sum_{nn'{\bf k}} | ||
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\epsilon_{n{\bf k}} - \epsilon_{n'\bf k-q} - i \omega | \epsilon_{n{\bf k}} - \epsilon_{n'\bf k-q} - i \omega | ||
} | } | ||
\sum_{m_1m_2' } | \sum_{m_1m_2' } | ||
P_{m_1 n }^{*\sigma ({\bf k })} | P_{m_1 n }^{*\sigma ({\bf k })} | ||
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\rangle | \rangle | ||
P_{m_2' n'}^{ \sigma' ({\bf k-q})} | P_{m_2' n'}^{ \sigma' ({\bf k-q})} | ||
\sum_{m_1'm_2 } | \sum_{m_1'm_2 } | ||
P_{m_2 n'}^{*\sigma' ({\bf k-q})} | P_{m_2 n'}^{*\sigma' ({\bf k-q})} | ||
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P_{m_1' n }^{ \sigma ({\bf k })} | P_{m_1' n }^{ \sigma ({\bf k })} | ||
</math> | </math> | ||
The projector method usually results in larger (smaller) Hubbard-Kanamori interactions than the weighted (disentanglement) method. | |||
{{NB|mind|The projector method is the default cRPA method.}} | |||
==== Caveats ==== | |||
The projector cRPA method employs a regularization of the projectors. This regularization is not conserving the number of electrons. | |||
As a consequence, the long-wave limit calculated from k-p perturbation theory can become negative and deteriorate k-point convergence drastically. | |||
For such cases, the {{FILE|WAVEDER}} file should be deleted before the cRPA step. Other cRPA methods do not suffer from this problem and the usage of the long-wave limit is strongly encouraged. | |||
== Off-centre interactions == | |||
Off-centre Coulomb integrals can be evaluated using {{TAG|ALGO}}=2e4wa. | |||
When chosen, the system calculates two types of integrals: | |||
* Bare integrals (stored in {{FILE|VRijkl}}) | |||
::<math> | |||
V_{ijkl}^{\sigma\sigma'} = \int {\rm d}{\bf r}\int {\rm d}{\bf r}' | |||
\frac{w_{i}^{*\sigma}({\bf r}) w_{j}^{\sigma}({\bf r}) w_{k}^{*\sigma'}({\bf r}+{\bf R}) w_{l}^{\sigma'}({\bf r}+{\bf R})}{|{\bf r}-{\bf r}'|} | |||
</math> | |||
* Effectively screened integrals (stored in {{FILE|URijkl}}) | |||
::<math> | |||
U_{ijkl}^{\sigma\sigma'} = \int {\rm d}{\bf r}\int {\rm d}{\bf r}' | |||
w_{i}^{*\sigma}({\bf r}) w_{j}^{\sigma}({\bf r}) U({\bf r},{\bf r}',\omega) | |||
w_{k}^{*\sigma'}({\bf r}+{\bf R}) w_{l}^{\sigma'}({\bf r}+{\bf R}) | |||
</math> | |||
The extent of displacement vectors <math>{\bf R}</math> is automatically determined based on the selected k-point grid. | |||
The calculation of these integrals occurs as a post-processing step. For bare, off-centre Coulomb integrals ({{FILE|VRijkl}}), a valid {{FILE|WAVECAR}} file must be present in the working directory. For effectively screened Coulomb integrals ({{FILE|URijkl}}), both a valid {{FILE|WAVECAR}} file and {{TAG|WFULLxxxx.tmp}} files are required. The {{TAG|WFULLxxxx.tmp}} files are automatically generated following a successful {{TAG|ALGO}}=CRPA job. | |||
The | The basis orbitals can be selected with {{TAG|DMFT_BASIS}}. | ||
{{NB|mind|Avaliable as of VASP.6.5.2.}} | |||
== Related tags and articles== | == Related tags and articles== | ||
{{TAG|ALGO}}, | {{TAG|ALGO}}, | ||
{{TAG|NTARGET_STATES}}, | {{TAG|NTARGET_STATES}}, | ||
{{TAG|NCRPA_BANDS}} | {{TAG|NCRPA_BANDS}}, | ||
{{TAG| | {{TAG|DMFT_BASIS}}, | ||
{{TAG|LWEIGHTED}} | {{TAG|LDISENTANGLED}}, | ||
{{TAG|NUM_WANN}} | {{TAG|LWEIGHTED}}, | ||
{{TAG|WANNIER90_WIN}} | {{TAG|NUM_WANN}}, | ||
{{TAG|ENCUTGW}} | {{TAG|WANNIER90_WIN}}, | ||
{{TAG|VCUTOFF}} | {{TAG|ENCUTGW}}, | ||
{{TAG|VCUTOFF}}, | |||
{{TAG|VIJKL}}, | |||
{{TAG|UIJKL}}, | |||
{{TAG|URijkl}}, | |||
{{TAG|VRijkl}}, | |||
{{TAG|WFULLxxxx.tmp}}, | |||
[[CRPA_of_SrVO3|cRPA of SrVO3]] | |||
==References== | ==References== | ||
<references/> | <references/> | ||
---- | ---- | ||
[[Category:Theory]][[Category:Many-body perturbation theory]][[Category: | [[Category:Theory]][[Category:Many-body perturbation theory]][[Category:Constrained-random-phase approximation]][[Category:Wannier functions]] |
Latest revision as of 17:08, 27 March 2025
The constrained random-phase approximation (cRPA) is a method that allows to calculate the effective interaction parameter U, J and J' for model Hamiltonians. The main idea is to neglect screening effects of specific target states in the screened Coulomb interaction W of the GW method. The resulting partially screened Coulomb interaction is usually evaluated in a localized basis that spans the target space and is described by the model Hamiltonian. Usually, the target space is low-dimensional (up to 5 states) and therefore allows for the application of a higher level theory, such as dynamical mean field theory (DMFT).
Model Hamiltonians
A model Hamiltonian describes a small subset of electrons around the chemical potential and has, in second quantization, following form
Here, are site and spin indices, respectively and the symbol indicates summation over nearest neighbors. The hopping matrix elements describe the hopping of electrons (of same spin) between site and , while the effective Coulomb matrix elements describe the interaction of electrons between sites.
Wannier basis and target space
To use model Hamiltonians successfully a localized basis set is chosen. In most applications this basis set consists of Wannier states that are connected with the Bloch functions of band at k-point with spin via
Usually, the basis set is localized such that the interaction between periodic images can be neglected. This allows to work with the Wannier functions in the unit cell at :
Mind: Here, T instead of the widely used U notation for the transformation matrix is used to avoid confusion with the Hubbard parameter. |
In practice, one builds a model Hamiltonian only for a small subset of Bloch functions. These target states are typically centered around the chemical potential (or Fermi energy) and are strongly localized around ions. The model Hamiltonian can be solved successfully only if the target states are well represented by the Wannier basis. As a measure of the Wannier representation, one usually compares the original band structure with the Wannier interpolated one.
In the following example (SrVO3), the target space consists of three Bloch bands (red bands) that may be represented well by three Wannier states:
The complete target space is spanned by a certain number of Bloch bands. These bands can be selected with the NCRPA_BANDS tag.
More often, however, one has delocalized states that mix with the target space of the model. Without including these additional states in the Wannier basis, a good representation of the band structure is not possible. Below is an example (face-centered-cubic Ni), where the delocalized s-band (blue) crosses the five target d-states (red):
This system requires at least six Wannier states to represent the electronic structure of five target states well. The selection of target states in the Wannier basis is done with the NTARGET_STATES.
If a modification of the band structure is acceptable within an energy window, these five target states might be disentangled from the remaining ones, and one arrives at the following picture:
Here the original Bloch bands (gray lines) are projected to five non-crossing Wannier states.
In the following denotes the target space, that is, the states described by the model Hamiltonian.
Parameter definitions
The calculation of the hopping matrix depends on the theory that is used to solve the effective model. For instance, in DFT+DMFT (often termed LDA+DMFT) one calculates the hopping matrix from Kohn-Sham energies, while in GW+DMFT GW quasi-particle energies are used. If denotes these one-electron energies and is the corresponding Fermi energy, the hopping matrix elements are calculated with following formula
Similarly, Coulomb matrix elements are evaluated from the Bloch representation of the effective Coulomb kernel via
Mind: The effective Coulomb kernel is frequency dependent and thus the effective interaction in the model as well. |
In most applications, however, one considers the static limit .
In practice one often, simplifies the model Hamiltonian further and works with the Hubbard-Kanamori parameters:[1]
Here specifies the number of Wannier functions in the target space .
Effective Coulomb kernel in constrained random-phase approximation
In analogy to the screened Coulomb kernel in GW, the effective coulomb kernel is calculated as
In contrast to the GW method, however, the polarizability contains all RPA screening effects except those from the target space. These effects are described by .
In the following four cRPA methods are presented for the calculation of . Note, all methods below reduce to the band method if the target space forms an isolated set of bands.
Band method
The simplest way to define the target polarizability is to use the expression of Adler and Wiser[2][3][4]
This approach is most accurate for an isolated target space as depicted in the first example above.
Mind: Target bands can be selected with NCRPA_BANDS. |
Warning: This method is not recommended for systems with entangled target states. |
Disentanglement method
Miyake, Aryasetiawan, and Imada[5] propose to disentangle the target space from the full space by diagonalizing the Hamiltonian in both spaces independently. This yields a band disentangled band structures similar to the one shown in the third example above. The corresponding target polarizability reduces to a constrained Alder and Wiser expression[2][3]
- ,
where is the disentangled band structure. The resulting Hubbard-Kanamori interactions depend on the chosen energy window of the Wannier functions.
Mind: Typically, this method yields the largest Hubbard-Kanamori interactions and is selected with LDISENTANGLED tag. |
Weighted method
Sasioglu, Friedrich and Blügel propose an alternative approach.[6] They calculate the screening effects within the target space as follows:
Here the weighting factors
measure the probability for being in the target space. This method does not alter the band structure, however, neglects screening effects within the target space as shown in next section. Typically, the weighted cRPA method yields the smallest Hubbard-Kanamori interactions.
Mind: This method is selected with the LWEIGHTED tag. |
Projector method
A consistent expression for the target polarizability gives rise to the projector-cRPA (p-cRPA) method. The main goal is to subdivide the target from the full Fock space in a Wannier basis. To this end, we work with the target projectors
that filter out target space contributions to each Bloch state. Using these projectors, the target polarizability for the projector method reads[7]
The projector method usually results in larger (smaller) Hubbard-Kanamori interactions than the weighted (disentanglement) method.
Mind: The projector method is the default cRPA method. |
Caveats
The projector cRPA method employs a regularization of the projectors. This regularization is not conserving the number of electrons. As a consequence, the long-wave limit calculated from k-p perturbation theory can become negative and deteriorate k-point convergence drastically. For such cases, the WAVEDER file should be deleted before the cRPA step. Other cRPA methods do not suffer from this problem and the usage of the long-wave limit is strongly encouraged.
Off-centre interactions
Off-centre Coulomb integrals can be evaluated using ALGO=2e4wa.
When chosen, the system calculates two types of integrals:
- Bare integrals (stored in VRijkl)
- Effectively screened integrals (stored in URijkl)
The extent of displacement vectors is automatically determined based on the selected k-point grid.
The calculation of these integrals occurs as a post-processing step. For bare, off-centre Coulomb integrals (VRijkl), a valid WAVECAR file must be present in the working directory. For effectively screened Coulomb integrals (URijkl), both a valid WAVECAR file and WFULLxxxx.tmp files are required. The WFULLxxxx.tmp files are automatically generated following a successful ALGO=CRPA job.
The basis orbitals can be selected with DMFT_BASIS.
Mind: Avaliable as of VASP.6.5.2. |
Related tags and articles
ALGO, NTARGET_STATES, NCRPA_BANDS, DMFT_BASIS, LDISENTANGLED, LWEIGHTED, NUM_WANN, WANNIER90_WIN, ENCUTGW, VCUTOFF, VIJKL, UIJKL, URijkl, VRijkl, WFULLxxxx.tmp, cRPA of SrVO3
References
- ↑ L. Vaugier, H. Jiang, and S. Biermann, Phys. Rev. B 86, 165105 (2012).
- ↑ a b S. L. Adler, Phys. Rev. 126, 413 (1962)
- ↑ a b N. Wiser, Phys. Rev. 129, 62 (1963)
- ↑ F. Aryasetiawan, M. Imada, A. Georges, G. Kotliar, S. Biermann, and A. I. Lichtenstein, Phys. Rev. B 70, 195104 (2004).
- ↑ T. Miyake, F. Aryasetiawan, and M. Imada, Phys. Rev. B 80, 155134 (2009).
- ↑ E. Sasioglu, C. Friedrich, and S. Blügel, Phys. Rev. B 83, 121101 (2011).
- ↑ M. Kaltak, Thesis: Merging GW with DMFT (2015).