Merge branch 'master' of git.irsamc.ups-tlse.fr:loos/SRGGW
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ef26e6a604
@ -627,12 +627,12 @@ To conclude this section, we briefly discussed the case of discontinuities menti
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Indeed, it has been previously mentioned that intruder states are responsible for both the poor convergence of qs$GW$ and discontinuities in physical quantities. \cite{Loos_2018b,Veril_2018,Loos_2020e,Berger_2021,DiSabatino_2021,Monino_2022,Scott_2023}
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Indeed, it has been previously mentioned that intruder states are responsible for both the poor convergence of qs$GW$ and discontinuities in physical quantities. \cite{Loos_2018b,Veril_2018,Loos_2020e,Berger_2021,DiSabatino_2021,Monino_2022,Scott_2023}
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Is it then possible to rely on the SRG machinery to remove discontinuities?
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Is it then possible to rely on the SRG machinery to remove discontinuities?
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Not directly because discontinuities are due to intruder states in the dynamic part of the quasiparticle equation.
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Not directly because discontinuities are due to intruder states in the dynamic part of the quasiparticle equation.
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However, as we have seen just above the functional form of the renormalized equation \ant{makes it possible to choose $s$ such that there is no intruder states in its static part.}
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However, as we have seen just above the functional form of the renormalized equation makes it possible to choose $s$ such that there is no intruder states in its static part.
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But performing a bijective transformation of the form,
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Performing a bijective transformation of the form,
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\begin{align}
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\begin{align}
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e^{- \Delta s} &= 1-e^{-\Delta t},
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e^{- \Delta s} &= 1-e^{-\Delta t},
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\end{align}
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\end{align}
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on the renormalized quasiparticle equation \eqref{eq:GW_renorm} reverses the situation and \ant{makes it possible to choose $t$ such that there is no intruder states in the dynamic part, hence removing discontinuities.}
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on the renormalized quasiparticle equation \eqref{eq:GW_renorm} reverses the situation and makes it possible to choose $t$ such that there is no intruder states in the dynamic part, hence removing discontinuities.
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Note that, after this transformation, the form of the regularizer is actually closely related to the SRG-inspired regularizer introduced by Monino and Loos in Ref.~\onlinecite{Monino_2022}.
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Note that, after this transformation, the form of the regularizer is actually closely related to the SRG-inspired regularizer introduced by Monino and Loos in Ref.~\onlinecite{Monino_2022}.
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%=================================================================%
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%=================================================================%
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@ -653,7 +653,7 @@ We use (restricted) HF guess orbitals and energies for all self-consistent $GW$
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The maximum size of the DIIS space \cite{Pulay_1980,Pulay_1982} and the maximum number of iterations were set to 5 and 64, respectively.
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The maximum size of the DIIS space \cite{Pulay_1980,Pulay_1982} and the maximum number of iterations were set to 5 and 64, respectively.
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In practice, one may achieve convergence, in some cases, by adjusting these parameters or by using an alternative mixing scheme.
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In practice, one may achieve convergence, in some cases, by adjusting these parameters or by using an alternative mixing scheme.
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However, in order to perform black-box comparisons, these parameters have been fixed to these default values.
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However, in order to perform black-box comparisons, these parameters have been fixed to these default values.
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The $\eta$ value has been set to \num{e-3} for the conventional $G_0W_0$ \ant{(without linearization of the quasiparticle equation)} calculations while, for the qs$GW$ calculations, $\eta$ has been chosen as the largest value where one successfully converges the 50 systems composing the test set.
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The $\eta$ value has been set to \num{e-3} for the conventional $G_0W_0$ calculations (where we eschew linearizing the quasiparticle equation) while, for the qs$GW$ calculations, $\eta$ has been chosen as the largest value where one successfully converges the 50 systems composing the test set.
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The various $GW$-based sets of values are compared with a set of reference values computed at the $\Delta$CCSD(T) level with the same basis set.
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The various $GW$-based sets of values are compared with a set of reference values computed at the $\Delta$CCSD(T) level with the same basis set.
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The $\Delta$CCSD(T) principal ionization potentials (IPs) and electron affinities (EAs) have been obtained using \textsc{gaussian 16} \cite{g16} with default parameters within the restricted and unrestricted HF formalism for the neutral and charged species, respectively.
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The $\Delta$CCSD(T) principal ionization potentials (IPs) and electron affinities (EAs) have been obtained using \textsc{gaussian 16} \cite{g16} with default parameters within the restricted and unrestricted HF formalism for the neutral and charged species, respectively.
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@ -673,8 +673,8 @@ The numerical data associated with this study are reported in the {\SupInf}.
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\begin{figure}
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\begin{figure}
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\includegraphics[width=\linewidth]{fig3}
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\includegraphics[width=\linewidth]{fig3}
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\caption{
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\caption{
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Error [with respect to $\Delta$CCSD(T)] in the principal IP of water in the aug-cc-pVTZ basis set as a function of the flow parameter $s$ for SRG-qs$GW$.
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Error [with respect to $\Delta$CCSD(T)] in the principal IP of water in the aug-cc-pVTZ basis set as a function of the flow parameter $s$ for SRG-qs$GW$ (green curve).
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The HF and qs$GW$ values are reported as dashed lines.
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The HF (cyan curve) and qs$GW$ (blue curve) values are reported as dashed lines.
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\label{fig:fig3}}
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\label{fig:fig3}}
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\end{figure}
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\end{figure}
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%%% %%% %%% %%%
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%%% %%% %%% %%%
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@ -683,8 +683,8 @@ The numerical data associated with this study are reported in the {\SupInf}.
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\begin{figure*}
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\begin{figure*}
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\includegraphics[width=\linewidth]{fig4}
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\includegraphics[width=\linewidth]{fig4}
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\caption{
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\caption{
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Error [with respect to $\Delta$CCSD(T)] in the principal IP of \ce{Li2}, \ce{LiH} and \ce{BeO} in the aug-cc-pVTZ basis set as a function of the flow parameter $s$ for the SRG-qs$GW$ method.
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Error [with respect to $\Delta$CCSD(T)] in the principal IP of \ce{Li2}, \ce{LiH} and \ce{BeO} in the aug-cc-pVTZ basis set as a function of the flow parameter $s$ for the SRG-qs$GW$ method (green curves).
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The HF and qs$GW$ values are reported as dashed lines.
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The HF (cyan curves) and qs$GW$ (blue curves) values are reported as dashed lines.
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\label{fig:fig4}}
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\label{fig:fig4}}
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\end{figure*}
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\end{figure*}
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%%% %%% %%% %%%
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%%% %%% %%% %%%
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@ -771,7 +771,7 @@ Table \ref{tab:tab1} shows the principal IP of the 50 molecules considered in th
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As mentioned previously the HF approximation overestimates the IPs with a mean signed error (MSE) of \SI{0.56}{\eV} and a mean absolute error (MAE) of \SI{0.69}{\eV}.
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As mentioned previously the HF approximation overestimates the IPs with a mean signed error (MSE) of \SI{0.56}{\eV} and a mean absolute error (MAE) of \SI{0.69}{\eV}.
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Performing a one-shot $G_0W_0$ calculation on top of this mean-field starting point, $G_0W_0$@HF, reduces by more than a factor two the MSE and MAE, \SI{0.29}{\eV} and \SI{0.33}{\eV}, respectively.
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Performing a one-shot $G_0W_0$ calculation on top of this mean-field starting point, $G_0W_0$@HF, reduces by more than a factor two the MSE and MAE, \SI{0.29}{\eV} and \SI{0.33}{\eV}, respectively.
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However, there are still outliers with large errors.
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However, there are still outliers with large errors.
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\ant{For example, the IP of \ce{N2} is overestimated by \SI{1.56}{\eV}, a large error which is clearly due to the starting point dependence of $G_0W_0$@HF.}
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For example, the IP of \ce{N2} is overestimated by \SI{1.56}{\eV}, a large error that is due to the HF starting point.
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Self-consistency can mitigate the error of the outliers as the MAE at the qs$GW$ level is now \SI{0.57}{\eV} and the standard deviation of the error (SDE) is decreased from \SI{0.31}{\eV} for $G_0W_0$ to \SI{0.18}{\eV}.
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Self-consistency can mitigate the error of the outliers as the MAE at the qs$GW$ level is now \SI{0.57}{\eV} and the standard deviation of the error (SDE) is decreased from \SI{0.31}{\eV} for $G_0W_0$ to \SI{0.18}{\eV}.
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In addition, the MSE and MAE (\SI{0.23}{\eV} and \SI{0.25}{\eV}, respectively) are also slightly improved with respect to $G_0W_0$@HF.
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In addition, the MSE and MAE (\SI{0.23}{\eV} and \SI{0.25}{\eV}, respectively) are also slightly improved with respect to $G_0W_0$@HF.
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@ -862,7 +862,7 @@ The decrease of the MSE and SDE correspond to a shift of the maximum of the dist
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\centering
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\centering
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\includegraphics[width=\linewidth]{fig6}
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\includegraphics[width=\linewidth]{fig6}
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\caption{
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\caption{
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SRG-qs$GW$ and qs$GW$ MAEs for the principal IPs of the $GW$50 test set. The bottom and top axes are equivalent and related by $s=1/(2\eta^2)$. A different marker has been used for qs$GW$ at $\eta=0.05$ because the MAE includes only 48 molecules.
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SRG-qs$GW$ (green) and qs$GW$ (blue) MAEs for the principal IPs of the $GW$50 test set. The bottom and top axes are equivalent and related by $s=1/(2\eta^2)$. A different marker has been used for qs$GW$ at $\eta=0.05$ because the MAE includes only 48 molecules.
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\label{fig:fig6}}
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\label{fig:fig6}}
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\end{figure}
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\end{figure}
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%%% %%% %%% %%%
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