Working on intro

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Anthony Scemama 2020-07-06 16:42:50 +02:00
parent 05e86ee378
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2 changed files with 159 additions and 8 deletions

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@ -493,3 +493,107 @@ note={Gaussian Inc. Wallingford CT}
eprint = {2002.03107},
url = {https://arxiv.org/abs/2002.03107v2}
}
@article{Per_2012,
author = {Per, Manolo C. and Walker, Kelly A. and
Russo, Salvy P.},
title = {{How Important is Orbital Choice in Single-Determinant Diffusion Quantum Monte
Carlo Calculations?}},
journal = {J. Chem. Theory Comput.},
volume = {8},
number = {7},
pages = {2255--2259},
year = {2012},
month = {Jul},
issn = {1549-9618},
publisher = {American Chemical Society},
doi = {10.1021/ct200828s}
}
@article{Petruzielo_2012,
author = {Petruzielo, F. R. and Toulouse, Julien and
Umrigar, C. J.},
title = {{Approaching chemical accuracy with quantum Monte Carlo}},
journal = {J. Chem. Phys.},
volume = {136},
number = {12},
pages = {124116},
year = {2012},
month = {Mar},
issn = {0021-9606},
publisher = {American Institute of Physics},
doi = {10.1063/1.3697846}
}
@misc{Caffarel_2016_2,
title = {{Recent Progress in Quantum Monte Carlo}},
journal = {ACS Symp. Ser.},
year = {2016},
month = {Jan},
note = {[Online; accessed 6. Jul. 2020]},
url = {https://pubs.acs.org/doi/abs/10.1021/bk-2016-1234.ch002}
}
@article{Giner_2016,
author = {Giner, Emmanuel and Assaraf, Roland and
Toulouse, Julien},
title = {{Quantum Monte Carlo with reoptimised perturbatively selected configuration-interaction
wave functions}},
journal = {Mol. Phys.},
volume = {114},
number = {7-8},
pages = {910--920},
year = {2016},
month = {Apr},
issn = {0026-8976},
publisher = {Taylor {\&} Francis},
doi = {10.1080/00268976.2016.1149630}
}
@article{Dash_2019,
author = {Dash, Monika and Feldt, Jonas and Moroni, Saverio and
Scemama, Anthony and Filippi, Claudia},
title = {{Excited States with Selected Configuration Interaction-Quantum Monte Carlo:
Chemically Accurate Excitation Energies and Geometries}},
journal = {J. Chem. Theory Comput.},
volume = {15},
number = {9},
pages = {4896--4906},
year = {2019},
month = {Sep},
issn = {1549-9618},
publisher = {American Chemical Society},
doi = {10.1021/acs.jctc.9b00476}
}
@article{Dash_2018,
author = {Dash, Monika and Moroni, Saverio and Scemama, Anthony and
Filippi, Claudia},
title = {{Perturbatively Selected Configuration-Interaction Wave Functions for Efficient
Geometry Optimization in Quantum Monte Carlo}},
journal = {J. Chem. Theory Comput.},
volume = {14},
number = {8},
pages = {4176--4182},
year = {2018},
month = {Aug},
issn = {1549-9618},
publisher = {American Chemical Society},
doi = {10.1021/acs.jctc.8b00393}
}
@article{Wang_2019,
author = {Wang, Ting and Zhou, Xiaojun and Wang, Fan},
title = {{Performance of the Diffusion Quantum Monte Carlo Method with a Single-Slater-Jastrow
Trial Wavefunction Using Natural Orbitals and Density Functional Theory Orbitals
on Atomization Energies of the Gaussian-2 Set}},
journal = {J. Phys. Chem. A},
volume = {123},
number = {17},
pages = {3809--3817},
year = {2019},
month = {May},
issn = {1089-5639},
publisher = {American Chemical Society},
doi = {10.1021/acs.jpca.9b01933}
}

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@ -54,7 +54,7 @@ solution of the Schrödinger equation with an approximate Hamiltonian
expressed in a finite basis of Slater determinants.
The FCI wave function can be interpreted as the exact solution of the
true Hamiltonian obtained with the additional constraint that it
can only span the space provided by a given basis. At the complete
can only span the space provided by the basis. At the complete
basis set (CBS) limit, the constraint vanishes and the exact solution
is obtained.
@ -79,25 +79,72 @@ as a given trial wave function. This approximation is known as the
function coincide with the nodes of the exact wave function, the exact
energy and wave function are obtained.
The DMC method is attractive because its scaling is polynomial with
the number of electrons and the size of the trial wave
the number of electrons and with the size of the trial wave
function. Moreover, the total energies obtained are usually below
those obtained with FCI because the fixed-node approximation imposes
less constraints on the solution than the finite-basis approximation.
In many cases, the systems under study are well described by a single
Slater determinant. Single-determinant DMC can be used as a post-Hatree-Fock
single-reference method with an accuracy comparable to coupled cluster.
The favorable scaling of QMC and its adequation with massively
parallel architectures makes it an attractive alternative for large
systems.
It has been shown that the nodal surfaces obtained with
Kohn-Sham determinants are in general better than those obtained with
the Hartree-Fock determinant,\cite{Per_2012} and of comparable quality
to those obtained with natural orbitals of single-determinant
correlated calculations.\cite{Wang_2019}
However, the fixed-node approximation is much more difficult to
control than the finite-basis approximation.
% Single detrminant nodes improved with DFT
% Jastrow optimization -> Better nodes
% Combination CIPSI/DMC -> Water paper
control than the finite-basis approximation, as it is not possible
to minimize directly the DMC energy with respect to the variational
parameters of the trial wave function.
The conventional approach consists in multiplying the trial wave
function by a positive function, the \emph{Jastrow factor}, taking
account of the electron-electron cusp and the short-range correlation
effects. The wave function is then re-optimized in the presence of the
Jastrow factor and the nodal surface is expected to be improved.
Using this technique, it has been shown that the chemical accuracy
could be reached within DMC.\cite{Petruzielo_2012}
Another approach consists in considering the DMC method as a
\emph{post-FCI method}. The trial wave function is obtained by
approaching the FCI with a selected configuration interaction
method such as CIPSI for instance.\cite{Giner_2013,Caffarel_2016_2}
When the basis set is increased, the trial wave function tends to the
exact wave function, so the nodal surface can be systematically
improved.\cite{Caffarel_2016}
This technique has the advantage that using FCI nodes in a given basis
set is well defined and has a unique solution. The optimization of the
wave function is deterministic, so the calculations are reproducible
and don't require the expertise of a QMC expert. However,
this technique can't be applied to large systems because of the
exponential scaling of the size of the wave function. Extrapolation
techniques have been applied to estimate the DMC energy of a FCI
wave function in a large basis set,\cite{Scemama_2018} and other
authors have used a combination of the two approaches where CIPSI
trial wave functions are re-optimized under the presence of a Jastrow
factor.\cite{Giner_2016,Dash_2018,Dash_2019}
\section{Combining range-separated DFT with CIPSI}
\label{sec:rsdft-cipsi}
Starting from a Hartree-Fock determinant in a small basis set,
we have seen that we can systematically improve the trial wave
function in two directions. The first one is by increasing the
size of the atomic basis set, and the second one is by
increasing the determinant expansion towards the FCI limit.
A third direction of improvement exists. It is the path which connects
the Hartree-Fock determinant to the Kohn-Sham determinant, which
usually has a better nodal surface. This third path is obtained by
the so-called \emph{range-separated} DFT framework which splits the
electron-electron interaction in a long-range part and a short-range
part. HELP MANU!
\subsection{CIPSI}
\emph{Configuration interaction using a perturbative selection made