Category:Strongly correlated electrons: Difference between revisions
No edit summary |
|||
| Line 39: | Line 39: | ||
== Dynamical Mean-Field Theory (DMFT) == | == Dynamical Mean-Field Theory (DMFT) == | ||
DMFT is an | DMFT is an dynamical extension of DFT+U, where U is considered to be frequency dependent ([[DFT+DMFT calculations|DFT+DMFT]]). DMFT provides an accurate treatment of strongly correlated materials, 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 constitutes a state-of-the-art approach for the accurate description of strongly correlated systems, capturing essential many-body effects such as quasiparticle renormalization, Hubbard bands, and Mott metal–insulator transitions. DMFT can be used in combination with cRPA, where cRPA is 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. | ||
== Other methods == | == Other methods == | ||
Revision as of 07:57, 26 March 2026

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 an dynamical extension of DFT+U, where U is considered to be frequency dependent (DFT+DMFT). DMFT provides an accurate treatment of strongly correlated materials, which are fully neglected in DFT+U [3]. 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 constitutes a state-of-the-art approach for the accurate description of strongly correlated systems, capturing essential many-body effects such as quasiparticle renormalization, Hubbard bands, and Mott metal–insulator transitions. DMFT can be used in combination with cRPA, where cRPA is 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.
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.
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 [4][5].
Hybrid functionals + U
A shortcoming of hybrid functionals is their uniform description of all states, which 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 [6].
QPGW
The GW approximation in its simplest form (one-shot approach) is strongly dependent on the 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 [7].
Tutorials
- Tutorial for NiO LSDA+U calculations.
- Tutorial for NiO DFT+U calculations.
- Tutorial for NiO Calculate U for LSDA+U calculations.
- Tutorial for CRPA of SrVO3 calculations.
- Tutorial for Bandstructure and CRPA of SrVO3 calculations.
- Tutorial for NiO DFT+DMFT calculations.
- Tutorial for NiO GGA+U calculations.
References
- ↑ S. L. Dudarev, G. A. Botton, S. Y. Savrasov, C. J. Humphreys, and A. P. Sutton, Phys. Rev. B 57, 1505 (1998).
- ↑ M. Cococcioni and S. de Gironcoli, Phys. Rev. B 71, 035105 (2005).
- ↑ G. Kotliar, S. Y. Savrasov, K. Haule, V. S. Oudovenko, O. Parcollet, and C. A. Marianetti, Electronic structure calculations with dynamical mean-field theory, Rev. Mod. Phys. 78, 865 (2006)
- ↑ Juarez L. F. Da Silva, M. Verónica Ganduglia-Pirovano, Joachim Sauer, Veronika Bayer, Phys. Rev. B (2007).
- ↑ P. Liu, C. Franchini, M. Marsman, and G. Kresse, Assessing model-dielectric-dependent hybrid functionals on the antiferromagnetic transition-metal monoxides MnO, FeO, CoO, and NiO, J. Phys.: Condens. Matter 32, 015502 (2020).
- ↑ Viktor Ivády, Rickard Armiento, Krisztián Szász, Erik Janzén, Adam Gali, Phys. Rev. B (2014).
- ↑ Brian Cunningham, Myrta Grüning, Dimitar Pashov, Phys. Rev. B (2023).
Pages in category "Strongly correlated electrons"
This category contains only the following page.