Category:Semilocal functionals: Difference between revisions
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E_{\mathrm{xc}}^{\mathrm{LDA}}=\int\epsilon_{\mathrm{xc}}^{\mathrm{LDA}}(n)d^{3}r | E_{\mathrm{xc}}^{\mathrm{LDA}}=\int\epsilon_{\mathrm{xc}}^{\mathrm{LDA}}(n)d^{3}r | ||
</math> | </math> | ||
leading to | |||
:<math> | |||
v_{\mathrm{xc}} = | |||
\frac{\delta E_{\mathrm{xc}}^{\mathrm{LDA}}}{\delta n} = | |||
* Generalized-gradient approximation (GGA): | * Generalized-gradient approximation (GGA): |
Revision as of 10:15, 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, depending on the variables on which depends:
- Local density approximation (LDA):
leading to
- Meta-GGA:
Most of them are either of the generalized-gradient approximation (GGA) or of the meta-GGA.
- the functionals of the generalized-gradient approximation (GGA) and
that, in addition to the electron density and the gradient , depend also on
- the kinetic-energy density , and/or
- the Laplacian of the electron density .
Thus, the exchange-correlation energy can be written as
which leads to the exchange-correlation potential having the form
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[1].
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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