Category:Semilocal functionals: Difference between revisions

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leading to the exchange-correlation potential
leading to the exchange-correlation potential
:<math>
:<math>
v_{\mathrm{xc}}^{\mathrm{LDA}} = \frac{\delta E_{\mathrm{xc}}^{\mathrm{LDA}}}{\delta n} = \frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial n}
v_{\mathrm{xc}}^{\mathrm{LDA}} = \frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial n} -
\nabla\cdot\frac{\partial\epsilon_{\mathrm{xc}}^{\mathrm{MGGA}}}{\partial\nabla n}
</math>
</math>



Revision as of 10:20, 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 the exchange-correlation potential

  • Generalized-gradient approximation (GGA):
  • 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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