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Maximally localized Wannier functions: Theory and applications

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49<br />

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.

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