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@ -493,3 +493,107 @@ note={Gaussian Inc. Wallingford CT}
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eprint = {2002.03107},
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url = {https://arxiv.org/abs/2002.03107v2}
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}
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@article{Per_2012,
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author = {Per, Manolo C. and Walker, Kelly A. and
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Russo, Salvy P.},
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title = {{How Important is Orbital Choice in Single-Determinant Diffusion Quantum Monte
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Carlo Calculations?}},
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journal = {J. Chem. Theory Comput.},
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volume = {8},
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number = {7},
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pages = {2255--2259},
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year = {2012},
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month = {Jul},
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issn = {1549-9618},
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publisher = {American Chemical Society},
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doi = {10.1021/ct200828s}
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}
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@article{Petruzielo_2012,
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author = {Petruzielo, F. R. and Toulouse, Julien and
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Umrigar, C. J.},
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title = {{Approaching chemical accuracy with quantum Monte Carlo}},
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journal = {J. Chem. Phys.},
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volume = {136},
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number = {12},
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pages = {124116},
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year = {2012},
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month = {Mar},
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issn = {0021-9606},
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publisher = {American Institute of Physics},
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doi = {10.1063/1.3697846}
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}
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@misc{Caffarel_2016_2,
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title = {{Recent Progress in Quantum Monte Carlo}},
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journal = {ACS Symp. Ser.},
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year = {2016},
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month = {Jan},
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note = {[Online; accessed 6. Jul. 2020]},
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url = {https://pubs.acs.org/doi/abs/10.1021/bk-2016-1234.ch002}
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}
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@article{Giner_2016,
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author = {Giner, Emmanuel and Assaraf, Roland and
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Toulouse, Julien},
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title = {{Quantum Monte Carlo with reoptimised perturbatively selected configuration-interaction
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wave functions}},
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journal = {Mol. Phys.},
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volume = {114},
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number = {7-8},
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pages = {910--920},
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year = {2016},
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month = {Apr},
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issn = {0026-8976},
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publisher = {Taylor {\&} Francis},
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doi = {10.1080/00268976.2016.1149630}
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}
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@article{Dash_2019,
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author = {Dash, Monika and Feldt, Jonas and Moroni, Saverio and
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Scemama, Anthony and Filippi, Claudia},
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title = {{Excited States with Selected Configuration Interaction-Quantum Monte Carlo:
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Chemically Accurate Excitation Energies and Geometries}},
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journal = {J. Chem. Theory Comput.},
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volume = {15},
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number = {9},
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pages = {4896--4906},
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year = {2019},
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month = {Sep},
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issn = {1549-9618},
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publisher = {American Chemical Society},
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doi = {10.1021/acs.jctc.9b00476}
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}
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@article{Dash_2018,
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author = {Dash, Monika and Moroni, Saverio and Scemama, Anthony and
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Filippi, Claudia},
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title = {{Perturbatively Selected Configuration-Interaction Wave Functions for Efficient
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Geometry Optimization in Quantum Monte Carlo}},
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journal = {J. Chem. Theory Comput.},
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volume = {14},
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number = {8},
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pages = {4176--4182},
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year = {2018},
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month = {Aug},
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issn = {1549-9618},
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publisher = {American Chemical Society},
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doi = {10.1021/acs.jctc.8b00393}
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}
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@article{Wang_2019,
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author = {Wang, Ting and Zhou, Xiaojun and Wang, Fan},
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title = {{Performance of the Diffusion Quantum Monte Carlo Method with a Single-Slater-Jastrow
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Trial Wavefunction Using Natural Orbitals and Density Functional Theory Orbitals
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on Atomization Energies of the Gaussian-2 Set}},
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journal = {J. Phys. Chem. A},
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volume = {123},
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number = {17},
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pages = {3809--3817},
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year = {2019},
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month = {May},
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issn = {1089-5639},
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publisher = {American Chemical Society},
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doi = {10.1021/acs.jpca.9b01933}
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}
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@ -54,7 +54,7 @@ solution of the Schrödinger equation with an approximate Hamiltonian
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expressed in a finite basis of Slater determinants.
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The FCI wave function can be interpreted as the exact solution of the
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true Hamiltonian obtained with the additional constraint that it
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can only span the space provided by a given basis. At the complete
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can only span the space provided by the basis. At the complete
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basis set (CBS) limit, the constraint vanishes and the exact solution
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is obtained.
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@ -79,25 +79,72 @@ as a given trial wave function. This approximation is known as the
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function coincide with the nodes of the exact wave function, the exact
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energy and wave function are obtained.
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The DMC method is attractive because its scaling is polynomial with
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the number of electrons and the size of the trial wave
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the number of electrons and with the size of the trial wave
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function. Moreover, the total energies obtained are usually below
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those obtained with FCI because the fixed-node approximation imposes
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less constraints on the solution than the finite-basis approximation.
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In many cases, the systems under study are well described by a single
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Slater determinant. Single-determinant DMC can be used as a post-Hatree-Fock
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single-reference method with an accuracy comparable to coupled cluster.
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The favorable scaling of QMC and its adequation with massively
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parallel architectures makes it an attractive alternative for large
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systems.
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It has been shown that the nodal surfaces obtained with
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Kohn-Sham determinants are in general better than those obtained with
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the Hartree-Fock determinant,\cite{Per_2012} and of comparable quality
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to those obtained with natural orbitals of single-determinant
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correlated calculations.\cite{Wang_2019}
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However, the fixed-node approximation is much more difficult to
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control than the finite-basis approximation.
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% Single detrminant nodes improved with DFT
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% Jastrow optimization -> Better nodes
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% Combination CIPSI/DMC -> Water paper
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control than the finite-basis approximation, as it is not possible
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to minimize directly the DMC energy with respect to the variational
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parameters of the trial wave function.
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The conventional approach consists in multiplying the trial wave
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function by a positive function, the \emph{Jastrow factor}, taking
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account of the electron-electron cusp and the short-range correlation
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effects. The wave function is then re-optimized in the presence of the
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Jastrow factor and the nodal surface is expected to be improved.
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Using this technique, it has been shown that the chemical accuracy
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could be reached within DMC.\cite{Petruzielo_2012}
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Another approach consists in considering the DMC method as a
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\emph{post-FCI method}. The trial wave function is obtained by
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approaching the FCI with a selected configuration interaction
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method such as CIPSI for instance.\cite{Giner_2013,Caffarel_2016_2}
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When the basis set is increased, the trial wave function tends to the
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exact wave function, so the nodal surface can be systematically
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improved.\cite{Caffarel_2016}
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This technique has the advantage that using FCI nodes in a given basis
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set is well defined and has a unique solution. The optimization of the
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wave function is deterministic, so the calculations are reproducible
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and don't require the expertise of a QMC expert. However,
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this technique can't be applied to large systems because of the
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exponential scaling of the size of the wave function. Extrapolation
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techniques have been applied to estimate the DMC energy of a FCI
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wave function in a large basis set,\cite{Scemama_2018} and other
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authors have used a combination of the two approaches where CIPSI
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trial wave functions are re-optimized under the presence of a Jastrow
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factor.\cite{Giner_2016,Dash_2018,Dash_2019}
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\section{Combining range-separated DFT with CIPSI}
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\label{sec:rsdft-cipsi}
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Starting from a Hartree-Fock determinant in a small basis set,
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we have seen that we can systematically improve the trial wave
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function in two directions. The first one is by increasing the
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size of the atomic basis set, and the second one is by
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increasing the determinant expansion towards the FCI limit.
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A third direction of improvement exists. It is the path which connects
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the Hartree-Fock determinant to the Kohn-Sham determinant, which
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usually has a better nodal surface. This third path is obtained by
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the so-called \emph{range-separated} DFT framework which splits the
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electron-electron interaction in a long-range part and a short-range
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part. HELP MANU!
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\subsection{CIPSI}
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\emph{Configuration interaction using a perturbative selection made
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