saving work
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@ -249,7 +249,7 @@ still an active field of research. The present paper falls
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within this context.
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The central idea of the present work, and the launch-pad for the remainder of this study, is that one can combine the various strengths of WFT, DFT, and QMC in order to create a new hybrid method with more attractive features and higher accuracy.
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In particular, we show here that one can combine CIPSI and KS-DFT via the range separation (RS) of the interelectronic Coulomb operator \cite{Sav-INC-96a,Toulouse_2004} to obtain accurate FN-DMC energies with compact multi-determinant trial wave functions.
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In particular, we show here that one can combine CIPSI and KS-DFT via the range separation (RS) of the interelectronic Coulomb operator \cite{Sav-INC-96a,Toulouse_2004} --- a scheme that we label RS-DFT-CIPSI in the following --- to obtain accurate FN-DMC energies with compact multi-determinant trial wave functions.
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The present manuscript is organized as follows.
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@ -1029,21 +1029,22 @@ going to the quadruple-$\zeta$ basis.
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This large imbalance at the VDZ-BFD level affects the nodal
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surfaces, because although the FN-DMC energies obtained with near-FCI
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trial wave functions are much lower than the single-determinant FN-DMC
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energies, the MAE obtained with FCI (7.38~$\pm$ 1.08~kcal/mol) is
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larger than the single-determinant MAE (4.61~$\pm$ 0.34 kcal/mol).
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energies, the MAE obtained with FCI ($7.38\pm1.08$ kcal/mol) is
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larger than the single-determinant MAE ($4.61\pm 0.34$ kcal/mol).
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Using the FCI trial wave function the MSE is equal to the
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negative MAE which confirms that all the atomization energies are
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underestimated. This confirms that some of the basis-set
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incompleteness error is transferred in the fixed-node error.
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Within the double-$\zeta$ basis set, the calculations could be done for the
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Within the double-$\zeta$ basis set, the calculations could be performed for the
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whole range of values of $\mu$, and the optimal value of $\mu$ for the
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trial wave function was estimated for each system by searching for the
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minimum of the spline interpolation curve of the FN-DMC energy as a
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function of $\mu$.
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This corresponds the the line of the table labelled by the \emph{Opt}
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value of $\mu$. Using the optimal value of $\mu$ clearly improves the
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MAE, the MSE an the RMSD compared the the FCI wave function. This
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This corresponds the line of Table~\ref{tab:mad} labelled as ``Opt.''
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\titou{The optimal $\mu$ value for each system is reported in the \SI.}
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Using the optimal value of $\mu$ clearly improves the
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MAE, the MSE an the RMSD compared to the FCI wave function. This
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result is in line with the common knowledge that re-optimizing
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the determinantal component of the trial wave function in the presence
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of electron correlation reduces the errors due to the basis set incompleteness.
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@ -1051,8 +1052,8 @@ These calculations were done only for the smallest basis set
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because of the expensive computational cost of the QMC calculations
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when the trial wave function is expanded on more than a few million
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determinants.
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At the RS-DFT-CIPSI level, we can remark that with the triple-$\zeta$
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basis set the MAE are larger for $\mu=1$~bohr$^{-1}$ than for the
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At the RS-DFT-CIPSI level, one can see that with the VTZ-BFD
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basis the MAEs are larger for $\mu=1$~bohr$^{-1}$ than for the
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FCI. For the largest systems, as shown in Fig.~\ref{fig:g2-ndet}
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there are many systems which did not reach the threshold
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$\EPT<1$~m\hartree{}, and the number of determinants exceeded
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@ -1077,13 +1078,13 @@ $\mu=0.5$~bohr$^{-1}$ with the quadruple-$\zeta$ basis set.
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\end{figure*}
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%%% %%% %%% %%%
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Searching for the optimal value of $\mu$ may be too costly, so we have
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computed the MAD, MSE and RMSD for fixed values of $\mu$. The results
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are illustrated in Fig.~\ref{fig:g2-dmc}. As seen on the figure and
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in Table~\ref{tab:mad}, the best choice for a fixed value of $\mu$ is
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Searching for the optimal value of $\mu$ may be too costly and time consuming, so we have
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computed the MAD, MSE and RMSD for fixed values of $\mu$.
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As illustrated in Fig.~\ref{fig:g2-dmc} and Table \ref{tab:mad},
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the best choice for a fixed value of $\mu$ is
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0.5~bohr$^{-1}$ for all three basis sets. It is the value for which
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the MAE (3.74(35), 2.46(18) and 2.06(35) kcal/mol) and RMSD (4.03(23),
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3.02(06) and 2.74(13)~kcal/mol) are minimal. Note that these values
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the MAE [$3.74(35)$, $2.46(18)$, and $2.06(35)$ kcal/mol] and RMSD [$4.03(23)$,
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$3.02(06)$, and $2.74(13)$ kcal/mol] are minimal. Note that these values
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are even lower than those obtained with the optimal value of
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$\mu$. Although the FN-DMC energies are higher, the numbers show that
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they are more consistent from one system to another, giving improved
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@ -1106,28 +1107,28 @@ The number of determinants in the trial wave functions are shown in
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Fig.~\ref{fig:g2-ndet}. As expected, the number of determinants
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is smaller when $\mu$ is small and larger when $\mu$ is large.
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It is important to remark that the median of the number of
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determinants when $\mu=0.5$~bohr$^{-1}$ is below 100~000 determinants
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with the quadruple-$\zeta$ basis set, making these calculations feasilble
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determinants when $\mu=0.5$~bohr$^{-1}$ is below $100\,000$ determinants
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with the VQZ-BFD basis, making these calculations feasible
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with such a large basis set. At the double-$\zeta$ level, compared to the
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FCI trial wave functions the median of the number of determinants is
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reduced by more than two orders of magnitude.
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Moreover, going to $\mu=0.25$~bohr$^{-1}$ gives a median close to 100
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determinants at the double-$\zeta$ level, and close to 1~000 determinants
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determinants at the VDZ-BFD level, and close to $1\,000$ determinants
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at the quadruple-$\zeta$ level for only a slight increase of the
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MAE. Hence, RS-DFT-CIPSI trial wave functions with small values of
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$\mu$ could be very useful for large systems to go beyond the
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single-determinant approximation at a very low computational cost
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while keeping the size-consistency.
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while ensuring size-consistency.
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Note that when $\mu=0$ the number of determinants is not equal to one because
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we have used the natural orbitals of a first CIPSI calculation, and
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we have used the natural orbitals of a preliminary CIPSI calculation, and
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not the srPBE orbitals.
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So the Kohn-Sham determinant is expressed as a linear combination of
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determinants built with natural orbitals. It is possible to add
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an extra step to the algorithm to compute the natural orbitals from the
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RS-DFT/CIPSI wave function, and re-do the RS-DFT/CIPSI calculation with
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determinants built with NOs. It is possible to add
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an extra step to the algorithm to compute the NOs from the
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RS-DFT-CIPSI wave function, and re-do the RS-DFT-CIPSI calculation with
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these orbitals to get an even more compact expansion. In that case, we would
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have converged to the Kohn-Sham orbitals with $\mu=0$, and the
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have converged to the KS orbitals with $\mu=0$, and the
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solution would have been the PBE single determinant.
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%%%%%%%%%%%%%%%%%%%%
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