Maximally localized Wannier functions: Theory and applications
Maximally localized Wannier functions: Theory and applications
Maximally localized Wannier functions: Theory and applications
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operators that are represented in a <strong>localized</strong> basis may<br />
be exploited in order to achieve computational efficiencies<br />
<strong>and</strong> improved scaling of numerical algorithms with<br />
respect to system size. Recently, therefore, MLWFs have<br />
been used for this very purpose in a number of contexts<br />
<strong>and</strong> we mention, in brief, some of them here.<br />
In quantum Monte Carlo (QMC) calculations (Foulkes<br />
et al., 2001), a significant computational effort is expended<br />
in evaluating the Slater determinant for a given<br />
electronic configuration of N electrons. These Slater<br />
determinants are usually constructed from a set of extended<br />
single-particle states, obtained from, e.g., a DFT<br />
or Hartree-Fock calculation, represented in a basis set of,<br />
e.g., extended plane-waves. This gives rise to O(N 3 ) scaling<br />
of the computational cost of evaluating such a determinant.<br />
Williamson et al. (2001) suggested, instead, to<br />
use MLWFs that were smoothly truncated to zero beyond<br />
a certain cut-off radius that is independent of system size.<br />
This ensures that each electron falls only within the localization<br />
region of a fixed number of MLWFs, thus reducing<br />
the asymptotic scaling by one factor of N. Furthermore,<br />
by representing the MLWFs in a basis of <strong>localized</strong><br />
spline <strong>functions</strong>, rather than plane-waves or even Gaussian<br />
<strong>functions</strong>, the evaluation of each orbital is rendered<br />
independent of system size, thereby reducing the overall<br />
cost of computing the determinant of the given configuration<br />
to O(N). More recently, rather than truncated<br />
MLWFs, the use of non-orthogonal orbitals obtained by<br />
projection (Reboredo <strong>and</strong> Williamson, 2005) or other localization<br />
criteria (Alfè <strong>and</strong> Gillan, 2004) has also been<br />
suggested.<br />
In another development, Wu et al. (2009) use ML-<br />
WFs in order to compute efficiently Hartree-Fock<br />
exact-exchange integrals in extended systems. Hybrid<br />
exchange-<strong>and</strong>-correlation functionals (Becke, 1993) for<br />
DFT calculations, in which some proportion of Hartree-<br />
Fock exchange is included in order to alleviate the wellknown<br />
problem of self-interaction that exists in local <strong>and</strong><br />
semi-local functionals such as the local-density approximation<br />
<strong>and</strong> its generalized gradient-dependent variants,<br />
have been used relatively little in extended systems. This<br />
is predominantly due to the computational cost associated<br />
with evaluating the exchange integrals between extended<br />
eigenstates that are represented in a plane-wave<br />
basis set. Wu et al. (2009) show that by performing a<br />
unitary transformation of the eigenstates to a basis of<br />
MLWFs, <strong>and</strong> working in real-space in order to exploit<br />
the fact that spatially distant MLWFs have exponentially<br />
vanishing overlap, the number of such overlaps that<br />
needs to be calculated scales linearly, in the limit of large<br />
system-size, with the number of orbitals (as opposed to<br />
quadratically), which is a sufficient improvement to enable<br />
Car-Parrinello molecular dynamics simulations with<br />
hybrid functionals.<br />
Similar ideas that exploit the locality of MLWFs have<br />
been applied to many-body perturbation theory approaches<br />
for going beyond DFT <strong>and</strong> Hartree-Fock calculations,<br />
for example, in the contexts of the GW approximation<br />
(Umari et al., 2009), the evaluation of local<br />
correlation in extended systems (Buth et al., 2005; Pisani<br />
et al., 2005), <strong>and</strong> the Bethe-Salpeter equation (Sasioglu<br />
et al., 2010). The improved scaling <strong>and</strong> efficiency of these<br />
approaches open the possibility of such calculations on<br />
larger systems than previously accessible.<br />
Finally, we note that MLWFs have been used recently<br />
to compute van der Waals (vdW) interactions in an approximate<br />
but efficient manner (Andrinopoulos et al.,<br />
2011; Silvestrelli, 2008, 2009b). The method is based<br />
on an expression due to Andersson et al. (1996) for the<br />
vdW energy in terms of pairwise interactions between<br />
fragments of charge density. MLWFs provide a <strong>localized</strong><br />
decomposition of the electronic charge density of a system<br />
<strong>and</strong> can be used as the basis for computing the vdW<br />
contribution to the total energy in a post-processing (i.e.,<br />
non-self-consistent) fashion. In order to render tractable<br />
the necessary multi-dimensional integrals, the true ML-<br />
WFs of the system are substituted by analytic hydrogenic<br />
orbitals that have the same centers <strong>and</strong> spreads as the<br />
true MLWFs. The approach has been applied to a variety<br />
of systems, including molecular dimers, molecules physisorbed<br />
on surfaces, water clusters <strong>and</strong> weakly-bound<br />
solids (Andrinopoulos et al., 2011; Espejo et al., 2012;<br />
Silvestrelli, 2008, 2009a,b; Silvestrelli et al., 2009). Recently,<br />
Ambrosetti <strong>and</strong> Silvestrelli (2012) have suggested<br />
an alternative, simpler formulation that is based on London’s<br />
expression for the van der Waals energy of two<br />
interacting atoms (Eisenschitz <strong>and</strong> London, 1930).<br />
B. WFs as a basis for strongly-correlated systems<br />
For many strongly-correlated electron problems, the<br />
essential physics of the system can be explained by considering<br />
only a subset of the electronic states. A recent<br />
example is underst<strong>and</strong>ing the behavior of unconventional<br />
(high-T c ) superconductors, in which a great deal<br />
of insight can be gained by considering only the ML-<br />
WFs of p <strong>and</strong> d character on Cu <strong>and</strong> O, respectively,<br />
for cuprates (Sakakibara et al., 2010), <strong>and</strong> those on As<br />
<strong>and</strong> Fe, respectively, for the iron pnictides (Cao et al.,<br />
2008; Hu <strong>and</strong> Hu, 2010; Kuroki et al., 2008; Suzuki et al.,<br />
2011). Other strongly-correlated materials for which ML-<br />
WFs have been used to construct minimal models to<br />
help underst<strong>and</strong> the physics include manganites (Kovacik<br />
<strong>and</strong> Ederer, 2010), topological insulators (Zhang et al.,<br />
2009a,b) (see also Sec. VI.A.4), <strong>and</strong> polyphenylene vinylene<br />
(PPV), in particular relating to electron-hole excitations<br />
(Karabunarliev <strong>and</strong> Bittner, 2003a,b).<br />
Below we outline some of the general principles behind<br />
the construction <strong>and</strong> solution of such minimal models.