Category:Strongly correlated electrons: Difference between revisions

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[[File:Ni_d_s_bands.png|200px|thumb|Band structure of a typical strongly correlated system - Ni]]
[[File:Ni_d_s_bands.png|200px|thumb|Band structure of a typical strongly correlated system - Ni]]
Strongly correlated materials are systems in which electron-electron interactions play a dominant role and cannot be adequately described by independent-particle approximations such as standard DFT. These systems typically include elements with $d$ and $f$ electrons which are localized, and correlation effects lead to phenomena such as metal-insulator transitions, magnetism, and unconventional superconductivity.
Strongly correlated materials are systems in which electron-electron interactions play a dominant role and cannot be adequately described by independent-particle approximations such as standard DFT. These systems typically include elements with partially filled $d$ and $f$ electron orbitals which are localized. Correlation effects lead to phenomena such as metal-insulator transitions, magnetism, and unconventional superconductivity.
To model such systems, several extensions of DFT have been developed.  
To model such systems, several extensions of DFT have been developed.  


== DFT+U ==
== DFT+U ==
DFT+U is the simplest and the most computationally efficient approach to treat strong correlations within electronic structure calculations. Within this approach, standard DFT is augmented with an on-site Hubbard interaction term $U$ that explicitly penalizes fractional occupation of localized orbitals. The Hubbard interaction is typically applied to $d$ or $f$ states.
[[:Category:DFT+U|DFT+U]] is the simplest and the most computationally efficient approach to treat strong correlations within electronic structure calculations. Within this approach, standard DFT is augmented with an on-site Hubbard interaction term $U$ that explicitly penalizes fractional occupation of localized orbitals. The Hubbard interaction is typically applied to $d$ or $f$ states.  
{{NB|mind|It is not currently possible to apply $U$ to both $d$ and $f$ states of the same atom}}
{{NB|mind|It is not currently possible to apply $U$ to both $d$ and $f$ states of the same atom}}
The total energy within DFT+U can be written as
\begin{equation}
\begin{equation}
E=E_{DFT}+\sum_I\left[\frac{U^I}{2} \sum_{m, \sigma \neq m^{\prime}, \sigma^{\prime}} n_m^{I \sigma} n_{m^{\prime}}^{I \sigma^{\prime}}-\frac{U^I}{2} n^I\left(n^I-1\right)\right],
E=E_{DFT}+\sum_I\left[\frac{U^I}{2} \sum_{m, \sigma \neq m^{\prime}, \sigma^{\prime}} n_m^{I \sigma} n_{m^{\prime}}^{I \sigma^{\prime}}-\frac{U^I}{2} n^I\left(n^I-1\right)\right],
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* {{TAG|LDAUTYPE}}=2: The simplified approach which is also rotationally invariant but uses isotropic effective interaction $U^I_{eff}=U^I-J^I$ {{cite|dudarev:prb:98}}. This approach neglects the anisotropy of the orbitals and thus the on-site interaction depends on the occupations but not the orbitals themselves.  
* {{TAG|LDAUTYPE}}=2: The simplified approach which is also rotationally invariant but uses isotropic effective interaction $U^I_{eff}=U^I-J^I$ {{cite|dudarev:prb:98}}. This approach neglects the anisotropy of the orbitals and thus the on-site interaction depends on the occupations but not the orbitals themselves.  


The effective on-site interaction $U$ can be either found by a fitting procedure that yields the best description of the desired property, i.e., band gap, magnetic moments, lattice parameters, etc.  
A common approach is to treat the effective on-site interaction $U$ as an adjustable parameter, tuning it to reproduce selected experimental observables such as the band gap, magnetic moments, or lattice parameters. Alternatively, fully ''ab initio'' schemes exist that determine the Hubbard interaction directly from first principles, avoiding empirical fitting.
Alternatively, there are ''ab initio'' approaches for determining the Hubbard on-site interaction.


* {{TAG|LDAUTYPE}}=3: Linear-response calculation of $U$. Within this approach the effective interaction $U$ can be determined via the linear response approach {{cite|cococcioni:2005}}
* {{TAG|LDAUTYPE}}=3: Linear-response calculation of $U$. Within this approach the effective interaction $U$ can be determined via the linear response approach {{cite|cococcioni:2005}}
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== Constrained Random Phase Approximation (cRPA) ==
== Constrained Random Phase Approximation (cRPA) ==
cRPA is a first-principles method used to compute the effective interaction parameters for the DFT+U approach or for the subsequent DMFT calculation.  
[[Constrained–random-phase–approximation formalism|cRPA]] is a first-principles method used to compute the effective interaction parameters for the DFT+U or DMFT calculations.  
cRPA allows to separate the screening originating from the target states from the rest of the system and to determine the effective interaction $U$ that is free of double counting.
cRPA allows to separate the screening originating from the target states from the rest of the system and to determine the effective interaction $U$ that is free of double counting.


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$\chi_c(\omega) = \chi(\omega) - \chi_d(\omega)$.
$\chi_c(\omega) = \chi(\omega) - \chi_d(\omega)$.


[https://vasp.at/wiki/Constrained%E2%80%93random-phase%E2%80%93approximation_formalism#Effective_Coulomb_kernel_in_constrained_random-phase_approximation VASP provides several approaches to calculating $\chi_d$]
[[Constrained–random-phase–approximation formalism#Effective Coulomb kernel in constrained random-phase approximation|VASP provides several approaches for calculating $\chi_d$]]


== Dynamical Mean-Field Theory (DMFT) ==
== Dynamical Mean-Field Theory (DMFT) ==
DMFT is an advanced extension of DFT (DFT+DMFT) that provides an accurate treatment of strongly correlated materials including dynamical effects, which are fully neglected in DFT+U {{cite|kotliar:rmp:2006}}. Within DMFT a lattice problem is mapped onto a self-consistent quantum impurity model by embedding a single correlated site in an effective bath that represents the rest of the system, and the key approximation is that the self-energy is local (frequency-dependent but momentum-independent). DMFT captures essential many-body effects such as quasiparticle renormalization, Hubbard bands, and Mott metal-insulator transitions. cRPA can be used as a preliminary step to determine the effective screening $U(\omega)$ without the contribution from the target space to avoid double-counting in the subsequent calculation of the self-energy within DMFT.
DMFT is a dynamical extension of DFT+U that provides a more accurate treatment of strongly correlated materials where DFT+U is insufficient {{cite|kotliar:rmp:2006}}. Like DFT+U, DMFT augments the DFT calculation with an additional local correlated subproblem — typically a specific $d$- or $f$-shell. The key idea is to map the full lattice problem onto a quantum impurity model: a single correlated site embedded in a self-consistently determined effective bath representing the rest of the lattice. The central approximation is that the self-energy is purely local frequency-dependent but momentum-independent. This makes the problem tractable while still capturing many-body effects beyond the reach of DFT+U, such as quasiparticle mass renormalization, Hubbard bands, and the Mott metal–insulator transition. The interaction parameters entering DMFT can be determined from first principles using cRPA (see [[Constrained–random-phase–approximation formalism|cRPA section above]]).


== Other methods ==
== Other methods ==
There are other methods that are not specialized for strongly correlated system but nevertheless have been shown to improve the description of the electronic structure of the strongly correlated systems.  
There are other methods that, while not specifically designed for strongly correlated systems, have nonetheless been demonstrated to improve their description and electronic structure.


=== Hybrid functionals ===
=== Hybrid functionals ===
By including a fraction of exact exchange, the hybrid functional approach can reduce the self-interaction error in DFT, which is required to improve the description of the physics of strong correlations {{cite|Silva2007}}{{cite|liu2019assessing}}.
By incorporating a fraction of exact exchange, hybrid functionals partially mitigate the self-interaction error inherent to standard DFT. This reduction of the self-interaction error has been shown to yield an improved description of strongly correlated systems {{cite|Silva2007}}{{cite|liu2019assessing}}.


=== Hybrid functionals + U ===
=== Hybrid functionals + U ===
A shortcoming of hybrid functionals is their uniform description of all states, which  
A well-known limitation of hybrid functionals is their uniform treatment of all electronic states, which can result in markedly different levels of accuracy for states with varying degrees of localization. The inclusion of the Hubbard on-site interaction term within the hybrid functional framework has been shown to address inaccuracies arising from the overscreening of localized states {{cite|Ivady2014}}.
can show very different accuracy for states with different degrees of
localization. The introduction of the Hubbard on-site interaction within the
hybrid functional approach was shown to resolve issues caused by
overscreening of localized states {{cite|Ivady2014}}.


=== QPGW ===
=== QPGW ===
The [[:Category:GW|GW]] approximation in its simplest form (one-shot approach) is strongly dependent on the
The [[:Category:GW|GW]] approximation in its simplest, non-self-consistent form (i.e., the one-shot approach) exhibits a strong dependence on the choice of starting point, and thus inherits the limitations of the underlying DFT description of localized states. In contrast, self-consistent GW schemes such as QPGW, which are independent of the starting electronic structure, have been shown to provide an accurate description of correlated electrons {{cite|Cunningham2023}}.
starting point and thus suffers from the shortcomings of the DFT for describing
localized states. However, a self-consistent GW approach such as QPGW which does
not depend on the starting electronic structure can yield an accurate
description of the correlated electrons {{cite|Cunningham2023}}.


== Tutorials ==
== Tutorials ==
* Tutorial for [https://www.vasp.at/wiki/NiO_LSDA%2BU NiO LSDA+U calculations]
* Tutorial for [https://www.vasp.at/wiki/NiO_LSDA%2BU NiO LSDA+U calculations].
* Tutorial for [https://www.vasp.at/tutorials/latest/bulk/part3/#bulk-e09 NiO DFT+U calculations]
* Tutorial for {{Tutorial|bulk:e09|NiO DFT+U calculations}}.
* Tutorial for [https://vasp.at/wiki/Calculate_U_for_LSDA%2BU NiO Calculate U for LSDA+U calculations]
* Tutorial for [https://vasp.at/wiki/Calculate_U_for_LSDA%2BU NiO Calculate U for LSDA+U calculations].
* Tutorial for [https://vasp.at/wiki/CRPA_of_SrVO3 CRPA of SrVO3 calculations]
* Tutorial for [https://vasp.at/wiki/CRPA_of_SrVO3 CRPA of SrVO3 calculations].
* Tutorial for [https://vasp.at/wiki/Bandstructure_and_CRPA_of_SrVO3 Bandstructure and CRPA of SrVO3 calculations]
* Tutorial for [https://vasp.at/wiki/Bandstructure_and_CRPA_of_SrVO3 Bandstructure and CRPA of SrVO3 calculations].
* Tutorial for [https://vasp.at/wiki/DFT%2BDMFT_calculations NiO DFT+DMFT calculations]
* Tutorial for [https://vasp.at/wiki/DFT%2BDMFT_calculations NiO DFT+DMFT calculations].
* Tutorial for [https://www.vasp.at/wiki/NiO_GGA%2BU NiO GGA+U calculations]
* Tutorial for [https://www.vasp.at/wiki/NiO_GGA%2BU NiO GGA+U calculations].


== References ==
== References ==


[[Category:Linear response]][[Category:DFT+U]][[Category:VASP]]
[[Category:Linear response]][[Category:DFT+U]][[Category:VASP]]

Latest revision as of 12:41, 27 March 2026

Band structure of a typical strongly correlated system - Ni

Strongly correlated materials are systems in which electron-electron interactions play a dominant role and cannot be adequately described by independent-particle approximations such as standard DFT. These systems typically include elements with partially filled $d$ and $f$ electron orbitals which are localized. Correlation effects lead to phenomena such as metal-insulator transitions, magnetism, and unconventional superconductivity. To model such systems, several extensions of DFT have been developed.

DFT+U

DFT+U is the simplest and the most computationally efficient approach to treat strong correlations within electronic structure calculations. Within this approach, standard DFT is augmented with an on-site Hubbard interaction term $U$ that explicitly penalizes fractional occupation of localized orbitals. The Hubbard interaction is typically applied to $d$ or $f$ states.

Mind: It is not currently possible to apply $U$ to both $d$ and $f$ states of the same atom

The total energy within DFT+U can be written as \begin{equation} E=E_{DFT}+\sum_I\left[\frac{U^I}{2} \sum_{m, \sigma \neq m^{\prime}, \sigma^{\prime}} n_m^{I \sigma} n_{m^{\prime}}^{I \sigma^{\prime}}-\frac{U^I}{2} n^I\left(n^I-1\right)\right], \end{equation} where the first term is the standard DFT energy, the second term is the Hubbard on-site interaction and the third term accounts for the double counting. The on-site interaction is described by $U^I$ and $n_m^{I\sigma}$ are occupation numbers that are defined as projections of occupied Kohn-Sham orbitals on the states of a localized basis set.

VASP provides the following approaches to include the Hubbard corrections:

  • LDAUTYPE=1: The rotationally invariant formulation of the Hubbard correction that eliminates the dependence on the specific choice of the localized basis set.
  • LDAUTYPE=4: The same approach as LDAUTYPE=1 but uses spin-averaged expression that's simpler and assumes an average spin configuration.
  • LDAUTYPE=2: The simplified approach which is also rotationally invariant but uses isotropic effective interaction $U^I_{eff}=U^I-J^I$ [1]. This approach neglects the anisotropy of the orbitals and thus the on-site interaction depends on the occupations but not the orbitals themselves.

A common approach is to treat the effective on-site interaction $U$ as an adjustable parameter, tuning it to reproduce selected experimental observables such as the band gap, magnetic moments, or lattice parameters. Alternatively, fully ab initio schemes exist that determine the Hubbard interaction directly from first principles, avoiding empirical fitting.

  • LDAUTYPE=3: Linear-response calculation of $U$. Within this approach the effective interaction $U$ can be determined via the linear response approach [2]

\begin{equation} U=\chi^{-1}-\chi_0^{-1} \approx\left(\frac{\partial N_I^{\mathrm{SCF}}}{\partial V_I}\right)^{-1}-\left(\frac{\partial N_I^{\mathrm{NSCF}}}{\partial V_I}\right)^{-1}. \end{equation} The shortcoming of this method is that the effective interaction accounts for the response due to all electrons including the target states (localized $d$ or $f$ orbitals), thus leading to double counting in the derived effective potential U.

Constrained Random Phase Approximation (cRPA)

cRPA is a first-principles method used to compute the effective interaction parameters for the DFT+U or DMFT calculations. cRPA allows to separate the screening originating from the target states from the rest of the system and to determine the effective interaction $U$ that is free of double counting.

The response function without the contribution of the target states or constrained polarizability $\chi_c$ is calculated by explicitly removing the response in the target space $\chi_d$ from the total response function: $\chi_c(\omega) = \chi(\omega) - \chi_d(\omega)$.

VASP provides several approaches for calculating $\chi_d$

Dynamical Mean-Field Theory (DMFT)

DMFT is a dynamical extension of DFT+U that provides a more accurate treatment of strongly correlated materials where DFT+U is insufficient [3]. Like DFT+U, DMFT augments the DFT calculation with an additional local correlated subproblem — typically a specific $d$- or $f$-shell. The key idea is to map the full lattice problem onto a quantum impurity model: a single correlated site embedded in a self-consistently determined effective bath representing the rest of the lattice. The central approximation is that the self-energy is purely local — frequency-dependent but momentum-independent. This makes the problem tractable while still capturing many-body effects beyond the reach of DFT+U, such as quasiparticle mass renormalization, Hubbard bands, and the Mott metal–insulator transition. The interaction parameters entering DMFT can be determined from first principles using cRPA (see cRPA section above).

Other methods

There are other methods that, while not specifically designed for strongly correlated systems, have nonetheless been demonstrated to improve their description and electronic structure.

Hybrid functionals

By incorporating a fraction of exact exchange, hybrid functionals partially mitigate the self-interaction error inherent to standard DFT. This reduction of the self-interaction error has been shown to yield an improved description of strongly correlated systems [4][5].

Hybrid functionals + U

A well-known limitation of hybrid functionals is their uniform treatment of all electronic states, which can result in markedly different levels of accuracy for states with varying degrees of localization. The inclusion of the Hubbard on-site interaction term within the hybrid functional framework has been shown to address inaccuracies arising from the overscreening of localized states [6].

QPGW

The GW approximation in its simplest, non-self-consistent form (i.e., the one-shot approach) exhibits a strong dependence on the choice of starting point, and thus inherits the limitations of the underlying DFT description of localized states. In contrast, self-consistent GW schemes such as QPGW, which are independent of the starting electronic structure, have been shown to provide an accurate description of correlated electrons [7].

Tutorials

References

Pages in category "Strongly correlated electrons"

This category contains only the following page.