Category:Semilocal functionals: Difference between revisions
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Compared to the GGAs, the meta-GGA functionals depend additionally on the kinetic-energy density <math>\tau</math> and/or the Laplacian of the electron density <math>\nabla^{2}n</math>: | Compared to the GGAs, the meta-GGA functionals depend additionally on the kinetic-energy density <math>\tau</math> and/or the Laplacian of the electron density <math>\nabla^{2}n</math>: | ||
:<math> | :<math> | ||
E_{\mathrm{xc}}^{\mathrm{MGGA}}=\int\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}(n,\nabla n,\nabla^{2}n,\tau)d^{3}r | E_{\mathrm{xc}}^{\mathrm{MGGA}}=\int\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}(n,\nabla n,\nabla^{2}n,\tau)d^{3}r | ||
</math> | </math> | ||
leading to | leading to | ||
:<math> | :<math> | ||
\hat{v}_{\mathrm{xc}}\psi_{i} = | \hat{v}_{\mathrm{xc}}\psi_{i} = | ||
\frac{\delta E_{\mathrm{xc}}^{\mathrm{MGGA}}}{\delta\psi_{i}^{*}} | \frac{\delta E_{\mathrm{xc}}^{\mathrm{MGGA}}}{\delta\psi_{i}^{*}} = | ||
\left(\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial n} - | |||
\nabla\cdot\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial\nabla n} + | \nabla\cdot\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial\nabla n} + | ||
\nabla^2\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial\nabla^2 n} | \nabla^2\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial\nabla^2 n} | ||
\right)\psi_{i} | \right)\psi_{i} - | ||
\frac{1}{2}\nabla\cdot\left(\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial \tau} | |||
\nabla\psi_{i}\right) | \nabla\psi_{i}\right) | ||
</math> | </math> | ||
where the last term is of non-multiplicative nature and arises due to the dependency of the functional on <math>\tau</math>. | |||
Although '''meta-GGAs''' are slightly more expensive than GGAs, they are still fast to evaluate and appropriate for very large systems. Furthermore, meta-GGAs can be more accurate than GGAs and more broadly applicable. Note that as in most other codes, '''meta-GGAs''' are implemented in VASP (see {{TAG|METAGGA}}) within the generalized KS scheme{{cite|yang:prb:2016|}}. | Although '''meta-GGAs''' are slightly more expensive than GGAs, they are still fast to evaluate and appropriate for very large systems. Furthermore, meta-GGAs can be more accurate than GGAs and more broadly applicable. Note that as in most other codes, '''meta-GGAs''' are implemented in VASP (see {{TAG|METAGGA}}) within the generalized KS scheme{{cite|yang:prb:2016|}}. | ||
Revision as of 11:08, 25 February 2025
The local and semilocal exchange-correlation functionals depend locally on quantities like the electron density or the kinetic-energy density . Most of them can be classified into one of three main subcategories, listed below, depending on the variables on which depends.
Local density approximation (LDA)
The LDA functionals are purely local in the sense that they depend solely on :
with a corresponding exchange-correlation potential calculated as
The most common LDA functionals, e.g,. GGA=CA [1][2][3], provide the (nearly) exact exchange-correlation energy for the homogeneous electron gas.
Generalized-gradient approximation (GGA)
In the GGA, there is an additional dependency on the gradient of :
leading to an additional term in the potential compared to LDA:
Meta-GGA
Compared to the GGAs, the meta-GGA functionals depend additionally on the kinetic-energy density and/or the Laplacian of the electron density :
leading to
where the last term is of non-multiplicative nature and arises due to the dependency of the functional on .
Although meta-GGAs are slightly more expensive than GGAs, they are still fast to evaluate and appropriate for very large systems. Furthermore, meta-GGAs can be more accurate than GGAs and more broadly applicable. Note that as in most other codes, meta-GGAs are implemented in VASP (see METAGGA) within the generalized KS scheme[4].
How to
A meta-GGA functional can be used by specifying
in the INCAR file.
How to do a band-structure calculation using meta-GGA functionals.
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