srDFT_Ex/Manuscript/Ex-srDFT.tex

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\documentclass[aip,jcp,reprint,noshowkeys]{revtex4-1}
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% energies
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\newcommand{\LCPQ}{Laboratoire de Chimie et Physique Quantiques (UMR 5626), Universit\'e de Toulouse, CNRS, UPS, France}
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\newcommand{\LCT}{Laboratoire de Chimie Th\'eorique, Universit\'e Pierre et Marie Curie, Sorbonne Universit\'e, CNRS, Paris, France}
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\begin{document}
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\title{Excitation Energies Near The Complete Basis Set Limit}
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\author{Emmanuel Giner}
\affiliation{\LCT}
\author{Anthony Scemama}
\affiliation{\LCPQ}
\author{Julien Toulouse}
\affiliation{\LCT}
\author{Pierre-Fran\c{c}ois Loos}
\email[Corresponding author: ]{loos@irsamc.ups-tlse.fr}
\affiliation{\LCPQ}
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\begin{abstract}
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By combining extrapolated selected configuration interaction (sCI) calculations performed with the CIPSI algorithm with the recently proposed short-range density-functional functional correction for basis set incompleteness [\href{https://doi.org/10.1063/1.5052714}{Giner et al., J.~Chem.~Phys.~149, 194301 (2018)}], we show that one can obtain vertical and adiabatic excitation energies with chemical accuracy with a small basis set.
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\end{abstract}
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\maketitle
%%%%%%%%%%%%%%%%%%%%%%%%
\section{Introduction}
\label{sec:intro}
%%%%%%%%%%%%%%%%%%%%%%%%
One of the most fundamental problem of conventional electronic structure methods is their slow energy convergence with respect to the size of the one-electron basis set.
This problem was already noticed thirty years ago by Kutzelnigg \cite{Kutzelnigg_1985} who proposed to introduce explicitly the correlation between electrons via the introduction of the interelectronic distance $r_{12} = \abs{\br_1 - \br_2}$ as a basis function. \cite{Kutzelnigg_1991, Termath_1991, Klopper_1991a, Klopper_1991b, Noga_1994}
This yields a prominent improvement of the energy convergence from $O(L^{-3})$ to $O(L^{-7})$ (where $L$ is the maximum angular momentum of the one-electron basis).
This idea was later generalised to more accurate correlation factors $f_{12} \equiv f(r_{12})$. \cite{Persson_1996, Persson_1997, May_2004, Tenno_2004b, Tew_2005, May_2005}
The resulting F12 methods achieve chemical accuracy for small organic molecules with relatively small Gaussian basis sets. \cite{Tenno_2012a, Tenno_2012b, Hattig_2012, Kong_2012}
For example, as illustrated by Tew and coworkers, one can obtain, at the CCSD(T) level, quintuple-zeta quality correlation energies with a triple-zeta basis. \cite{Tew_2007b}
In the present study, we rely on the recently proposed short-range density-functional functional correction for basis set incompleteness. \cite{Giner_2018}
%%%%%%%%%%%%%%%%%%%%%%%%
\section{Computational details}
\label{sec:compdetails}
%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%
\section{Results}
\label{sec:res}
%%%%%%%%%%%%%%%%%%%%%%%%
%=======================
\subsection{Water}
\label{sec:H2O}
%=======================
%=======================
\subsection{Formaldehyde}
\label{sec:CH2O}
%=======================
%=======================
\subsection{Methylene}
\label{sec:CH2}
%=======================
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%%% TABLE 1 %%%
\begin{squeezetable}
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\begin{table*}
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\caption{
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Total energies $E$ (in hartree) and adiabatic transition energies $\Ead$ (in eV) of excited states of methylene for various methods and basis sets.}
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\begin{ruledtabular}{}
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\begin{tabular}{llddddddd}
& & \mc{1}{c}{$1\,^{3}B_1$}
& \mc{2}{c}{$1\,^{3}B_1 \ra 1\,^{1}A_1$}
& \mc{2}{c}{$1\,^{3}B_1 \ra 1\,^{1}B_1$}
& \mc{2}{c}{$1\,^{3}B_1 \ra 2\,^{1}A_1$} \\
\cline{3-3} \cline{4-5}
\cline{6-7} \cline{8-9}
Method & Basis set & \tabc{$E$ (a.u.)}
& \tabc{$E$ (a.u.)} & \tabc{$\Ead$ (eV)}
& \tabc{$E$ (a.u.)} & \tabc{$\Ead$ (eV)}
& \tabc{$E$ (a.u.)} & \tabc{$\Ead$ (eV)} \\
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\hline
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exFCI & AVDZ & -39.04846(1)
& -39.03225(1) & 0.441
& -38.99203(1) & 1.536
& -38.95076(1) & 2.659 \\
& AVTZ & -39.08064(3)
& -39.06565(2) & 0.408
& -39.02833(1) & 1.423
& -38.98709(1) & 2.546 \\
& AVQZ & -39.08854(1)
& -39.07402(2) & 0.395
& -39.03711(1) & 1.399
& -38.99607(1) & 2.516 \\
& AV5Z & -39.09079(1)
& -39.07647(1) & 0.390
& -39.03964(3) & 1.392
& -38.99867(1) & 2.507 \\
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& CBS & -39.09111
& -39.07682 & 0.389
& -39.04000 & 1.391
& -38.99904 & 2.505 \\
\\
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exFCI+LDA & AVDZ & -39.07450(1)
& -39.06213(1) & 0.337
& -39.02233(1) & 1.420
& -38.97946(1) & 2.586 \\
& AVTZ & -39.09099(3)
& -39.07779(2) & 0.359
& -39.04051(1) & 1.374
& -38.99859(1) & 2.514 \\
& AVQZ & -39.09319(1)
& -39.07959(2) & 0.370
& -39.04267(1) & 1.375
& -39.00135(1) & 2.499 \\
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\\
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exFCI+PBE & AVDZ & -39.07282(1)
& -39.06150(1) & 0.308
& -39.02181(1) & 1.388
& -38.97873(1) & 2.560 \\
& AVTZ & -39.08948(3)
& -39.07639(2) & 0.356
& -39.03911(1) & 1.371
& -38.99724(1) & 2.510 \\
& AVQZ & -39.09247(1)
& -39.07885(2) & 0.371
& -39.04193(1) & 1.375
& -39.00066(1) & 2.498 \\
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\\
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exFCI+PBEot & AVDZ & -39.06924(1)
& -39.05651(1) & 0.347
& -39.01777(1) & 1.401
& -38.97698(1) & 2.511 \\
& AVTZ & -39.08805(3)
& -39.07430(2) & 0.374
& -39.03742(1) & 1.378
& -38.99652(1) & 2.491 \\
& AVQZ & -39.09189(1)
& -39.07795(2) & 0.379
& -39.04124(1) & 1.378
& -39.00044(1) & 2.489 \\
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\\
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SHCI & AVQZ & -39.08849(1)
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& -39.07404(1) & 0.393
& -39.03711(1) & 1.398
& -38.99603(1) & 2.516 \\
CR-EOMCC (2,3)D& AVQZ & -39.08817
& -39.07303 & 0.412
& -39.03450 & 1.460
& -38.99457 & 2.547 \\
FCI & TZ2P & -39.066738
& -39.048984 & 0.483
& -39.010059 & 1.542
& -38.968471 & 2.674 \\
DMC & &
& & 0.406
& & 1.416
& & 2.524 \\
Exp. & &
& & 0.400
& & 1.411
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\end{tabular}
\end{ruledtabular}
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\end{table*}
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\end{squeezetable}
%%% %%% %%%
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%%%%%%%%%%%%%%%%%%%%%%%%
\section{Conclusion}
\label{sec:ccl}
%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%
\section*{Supporting Information}
%%%%%%%%%%%%%%%%%%%%%%%%
See {\SI} for geometries and additional information (including total energies).
%%%%%%%%%%%%%%%%%%%%%%%%
\begin{acknowledgements}
This work was performed using HPC resources from
i) GENCI-TGCC (Grant No. 2018-A0040801738),
ii) CALMIP (Toulouse) under allocations 2018-0510 and 2018-12158.
\end{acknowledgements}
%%%%%%%%%%%%%%%%%%%%%%%%
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\bibliography{Ex-srDFT}
\end{document}