Direct optimization of the orbitals

With "direct optimisation of the orbitals" we denote a category of electronic minimisation algorithms that use the gradient of the total energy with respect to the orbitals to move towards the ground state of the system: the orbitals are changed such that the total energy is lowered, using, e.g. the Conjugate Gradient Approximation, or Damped Molecular Dynamics.

This gradient of the total energy with respect to an orbital $\psi_n$ is given by:

$| g_n \rangle = f_n \Big(1-\sum_m \vert \phi_m \rangle \langle \phi_m \vert\Big) \hat{H} \vert \phi_n \rangle + \sum_m \frac{1}{2} {\bf H}_{nm} (f_n - f_m) \vert \phi_m \rangle$

where

${\bf H}_{nm}=\langle \phi_m \vert \hat{H} \vert \phi_n \rangle$

After every change of the orbitals, the total energy and electronic density are recomputed. Per default, the electronic density is constructed directly from the orbitals at each step along the way, without any density mixing. Optionally, though, density mixing may be used to stabilise these optimisation procedures when charge sloshing occurs.

Similar to the SCC described above, the direct optimisation of the orbitals stops when the change of the total energy drops below EDIFF.

Note that, when starting from scratch (ISTART = 0), the direct optimisation procedures in VASP always begin with several (NELMDL) self-consistency cycles where the density is kept fixed at the initial approximation (overlapping atomic charge densities), using the blocked-Davidson algorithm to optimise the orbitals. This ensures that the orbitals, that are initialised with random numbers, have converged to reasonable starting point for the subsequent direct optimisation.