Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Screening and Non-local Correlations in the Extended Hubbard Model from
  Self-Consistent Combined GW and Dynamical Mean Field Theory   We describe a recent implementation of the combined GW and dynamical mean
field (DMFT) method "GW+DMFT" for the two-dimensional Hubbard model with
on-site and nearest-neighbor repulsion. We clarify the relation of the GW+DMFT
scheme to alternative approaches in the literature, and discuss the
corresponding approximations to the free energy functional of the model.
Furthermore, we describe a numerically exact technique for the self-consistent
solution of the GW+DMFT equations, namely the hybridization expansion
continuous-time algorithm for solving the dynamical impurity model that arises
within the GW+DMFT scheme. We compute the low-temperature phase diagram of the
extended Hubbard model, addressing the metal-insulator transition at small
intersite interactions and the transition to a charge-ordered state for
stronger intersite repulsions. Within the GW+DMFT framework, as in extended
DMFT, the intersite repulsion translates into a frequency-dependence of the
local effective interaction. We analyze this dependence by extracting a
charateristic plasma frequency and show how it affects the local spectral
function.

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The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom