minor corrections
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@ -63,15 +63,15 @@
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\newcommand{\EFCI}{E_\text{FCI}}
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% matrices/operator
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\newcommand{\br}[1]{\bm{r}_{#1}}
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\newcommand{\bw}{{\bm{w}}}
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\newcommand{\bG}{\bm{G}}
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\newcommand{\bS}{\bm{S}}
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\newcommand{\bGam}[1]{\bm{\Gamma}^{#1}}
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\newcommand{\bgam}[1]{\bm{\gamma}^{#1}}
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\newcommand{\br}[1]{\boldsymbol{r}_{#1}}
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\newcommand{\bw}{{\boldsymbol{w}}}
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\newcommand{\bG}{\boldsymbol{G}}
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\newcommand{\bS}{\boldsymbol{S}}
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\newcommand{\bGam}[1]{\boldsymbol{\Gamma}^{#1}}
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\newcommand{\bgam}[1]{\boldsymbol{\gamma}^{#1}}
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\newcommand{\opGam}[1]{\hat{\Gamma}^{#1}}
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\newcommand{\bh}{\bm{h}}
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\newcommand{\bF}[1]{\bm{F}^{#1}}
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\newcommand{\bh}{\boldsymbol{h}}
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\newcommand{\bF}[1]{\boldsymbol{F}^{#1}}
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\newcommand{\Ex}[1]{\Omega^{#1}}
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@ -110,9 +110,9 @@
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%%% added by Manu %%%
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\newcommand{\beq}{\begin{equation}}
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\newcommand{\eeq}{\end{equation}}
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\newcommand{\bmk}{\bm{\kappa}} % orbital rotation vector
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\newcommand{\bmg}{\bm{\Gamma}} % orbital rotation vector
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\newcommand{\bxi}{\bm{\xi}}
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\newcommand{\bmk}{\boldsymbol{\kappa}} % orbital rotation vector
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\newcommand{\bmg}{\boldsymbol{\Gamma}} % orbital rotation vector
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\newcommand{\bxi}{\boldsymbol{\xi}}
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\newcommand{\bfx}{{\bf{x}}}
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\newcommand{\bfr}{{\bf{r}}}
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\DeclareMathOperator*{\argmax}{arg\,max}
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@ -702,28 +702,34 @@ Combining Eq.~\eqref{eq:exact_ind_ener_rdm} with Eq.~\eqref{eq:eLDA_corr_fun} le
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\label{sec:eDFA}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{Paradigm}
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\label{sec:paradigm}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Most of the standard local and semi-local DFAs rely on the infinite uniform electron gas (IUEG) model (also known as jellium). \cite{ParrBook, Loos_2016}
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One major drawback of the jellium paradigm, when it comes to develop eDFAs, is that the ground and excited states cannot be easily identified like in a molecule. \cite{Gill_2012, Loos_2012, Loos_2014a, Loos_2014b, Agboola_2015, Loos_2017a}
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One major drawback of the jellium paradigm, when it comes to develop eDFAs, is that the ground and excited states are not easily accessible like in a molecule. \cite{Gill_2012, Loos_2012, Loos_2014a, Loos_2014b, Agboola_2015, Loos_2017a}
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Moreover, because the IUEG model is a metal, it is gapless, which means that both the fundamental and optical gaps are zero.
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From this point of view, using finite UEGs (FUEGs), \cite{Loos_2011b, Gill_2012} which have, like an atom, discrete energy levels and non-zero gaps, to construct eDFAs can be seen as more relevant. \cite{Loos_2014a, Loos_2014b, Loos_2017a}
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However, one of the drawbacks of using FUEGs is that the resulting eDFA will inexorably depend on the number of electrons (see below).
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However, an obvious drawback of using FUEGs is that the resulting eDFA will inexorably depend on the number of electrons that composed this FUEG (see below).
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Here, we propose to construct a weight-dependent eDFA for the calculations of excited states in 1D systems by combining these FUEGs with the usual IUEG to construct a weigh-dependent LDA functional for ensembles (eLDA).
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As a FUEG, we consider the ringium model in which electrons move on a perfect ring (\ie, a circle). \cite{Loos_2012, Loos_2013a, Loos_2014b}
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As a FUEG, we consider the ringium model in which electrons move on a perfect ring (\ie, a circle) but interact \textit{through} the ring. \cite{Loos_2012, Loos_2013a, Loos_2014b}
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The most appealing feature of ringium (regarding the development of functionals in the context of eDFT) is the fact that both ground- and excited-state densities are uniform.
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As a result, the ensemble density will remain constant (and uniform) as the ensemble weights vary.
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This is a necessary condition for being able to model derivative discontinuities.
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Moreover, it has been shown that, in the thermodynamic limit, the ringium model is equivalent to the ubiquitous IUEG paradigm. \cite{Loos_2013,Loos_2013a}
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Here, we will consider the most simple ringium system featuring electronic correlation effects, \ie, the two-electron ringium model.
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The present weight-dependent eDFA is specifically designed for the calculation of excitation energies within eDFT.
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In order to take into account both single and double excitations simultaneously, we consider a three-state ensemble including:
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(i) the ground state ($I=0$), (ii) the first singly-excited state ($I=1$), and (iii) the first doubly-excited state ($I=2$) of the (spin-polarized) two-electron ringium system.
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All these states have the same (uniform) density $\n{}{} = 2/(2\pi R)$ where $R$ is the radius of the ring where the electrons are confined.
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We refer the interested reader to Refs.~\onlinecite{Loos_2012, Loos_2013a, Loos_2014b} for more details about this paradigm.
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Generalization to a larger number of states is straightforward and is left for future work.
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To ensure the GOK variational principle, \cite{Gross_1988a} the weights must fulfil the following conditions:
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$0 \le \ew{1} \le 1/3$ and $\ew{2} \le \ew{1} \le (1-\ew{2})/2$.
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All these states have the same (uniform) density $\n{}{} = 2/(2\pi R)$ where $R$ is the radius of the ring where the electrons are confined.
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We refer the interested reader to Refs.~\onlinecite{Loos_2012, Loos_2013a, Loos_2014b} for more details about this paradigm.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{Weight-dependent correlation functional}
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\label{sec:Ec}
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@ -765,8 +771,8 @@ Combining these, one can build a three-state weight-dependent correlation eDFA:
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{LDA-centered functional}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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One of the main driving force behind the popularity of DFT is its ``universal'' nature, as xc functionals can be applied to any electronic system.
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The two-electron-based eDFA defined in Eq.~\eqref{eq:ecw} does not have this feature as it does depend on the number of electrons constituting the FUEG.
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One of the main driving force behind the popularity of DFT is its ``universal'' nature, as xc density functionals can be applied to any electronic system.
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Obviously, the two-electron-based eDFA defined in Eq.~\eqref{eq:ecw} does not have this feature as it does depend on the number of electrons constituting the FUEG.
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However, one can partially cure this dependency by applying a simple embedding scheme in which the two-electron FUEG (the impurity) is embedded in the IUEG (the bath).
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The weight-dependence of the correlation functional is then carried exclusively by the impurity [\ie, the functional defined in Eq.~\eqref{eq:ecw}], while the remaining correlation effects are provided by the bath (\ie, the usual LDA correlation functional).
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Following this simple strategy, which is further theoretically justified by the generalized adiabatic connection formalism for ensembles (GACE) originally derived by Franck and Fromager, \cite{Franck_2014} we propose to \emph{shift} the two-electron-based eDFA defined in Eq.~\eqref{eq:ecw} as follows:
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@ -830,14 +836,15 @@ We use as basis functions the (orthonormal) orbitals of the one-electron system,
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\end{cases}
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\end{equation}
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with $ \mu = 1,\ldots,\Nbas$ and $\Nbas = 30$ for all calculations.
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For the self-consistent calculations (such as HF, KS-DFT or KS-eDFT), the convergence threshold has been set to $\tau = 10^{-5}$.
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For KS-DFT and KS-eDFT calculations, a Gauss-Legendre quadrature is employed to compute numerical integrals.
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For the self-consistent calculations (such as HF, KS-DFT or KS-eDFT), the convergence threshold $\tau = \max{ \abs{ \bF{\bw} \bGam{\bw} \bS - \bS \bGam{\bw} \bF{\bw}}}$ been set to $10^{-5}$.
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For KS-DFT and KS-eDFT calculations, a Gauss-Legendre quadrature is employed to compute the various integrals that cannot be performed in closed form.
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In order to test the present eLDA functional we have performed various sets of calculations.
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To get reference excitation energies for both the single and double excitations, we have performed full configuration interaction (FCI) calculations with the Knowles-Handy FCI program described in Ref.~\onlinecite{Knowles_1989}.
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For the single excitations, we have also performed time-dependent HF (TDHF), configuration interaction singles (CIS) and TDLDA calculations. \cite{Dreuw_2005}
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For TDLDA, the validity of the Tamm-Dancoff approximation (TDA) has been also investigated.
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Concerning the KS-eDFT calculations, two sets of weight have been tested: the zero-weight limit where $\bw = (0,0)$ and the equi-ensemble (or state-averaged) limit where $\bw = (1/3,1/3)$.
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In order to test the influence of correlation effects on excitation energies, we have also performed ensemble HF (labeled as eHF) calculations.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Results and discussion}
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@ -850,7 +857,7 @@ When the box gets larger, they start to deviate.
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For the single excitation, TDHF is extremely accurate over the whole range of $L$ values, while CIS is slightly less accurate and starts to overestimate the excitation energy by a few percent at $L=8\pi$.
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TDLDA yields larger errors at large $L$ by underestimating the excitation energies.
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TDA-TDLDA slightly corrects this trend thanks to error compensation.
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Concerning the eLDA functional, our results clearly evidences that the equi-weights [\ie, $\bw = (1/3,1/3)$] excitation energies are much more accurate than the ones obtained in the zero-weight limit [\ie, $\bw = (0,0)$].
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Concerning the eLDA functional, our results clearly evidence that the equi-weights [\ie, $\bw = (1/3,1/3)$] excitation energies are much more accurate than the ones obtained in the zero-weight limit [\ie, $\bw = (0,0)$].
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This is especially true for the single excitation which is significantly improved by using state-averaged weights.
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The effect on the double excitation is less pronounced.
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Overall, one clearly sees that, with state-averaged weights, the eLDA functional yields accurate excitation energies for both single and double excitations.
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