ok with comp details
This commit is contained in:
parent
16675b590d
commit
9166d8ac06
@ -1,13 +1,25 @@
|
||||
%% This BibTeX bibliography file was created using BibDesk.
|
||||
%% https://bibdesk.sourceforge.io/
|
||||
|
||||
%% Created for Pierre-Francois Loos at 2022-03-07 20:27:55 +0100
|
||||
%% Created for Pierre-Francois Loos at 2022-03-09 10:00:09 +0100
|
||||
|
||||
|
||||
%% Saved with string encoding Unicode (UTF-8)
|
||||
|
||||
|
||||
|
||||
@article{Davidson_1975,
|
||||
author = {E. R. Davidson},
|
||||
date-added = {2022-03-09 10:00:08 +0100},
|
||||
date-modified = {2022-03-09 10:00:08 +0100},
|
||||
doi = {10.1016/0021-9991(75)90065-0},
|
||||
journal = {J. Comput. Phys.},
|
||||
pages = {87--94},
|
||||
title = {The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices},
|
||||
volume = {17},
|
||||
year = {1975},
|
||||
bdsk-url-1 = {https://doi.org/10.1016/0021-9991(75)90065-0}}
|
||||
|
||||
@article{Veril_2021,
|
||||
author = {Micka{\"e}l V{\'e}ril and Anthony Scemama and Michel Caffarel and Filippo Lipparini and Martial Boggio-Pasqua and Denis Jacquemin and Pierre-Fran{\c c}ois Loos},
|
||||
date-added = {2022-03-07 20:24:41 +0100},
|
||||
|
@ -214,16 +214,16 @@ From the PECs, we have also extracted the vibrational frequencies and equilibriu
|
||||
The hCI method was implemented in {\QP} via a straightforward adaptation of the
|
||||
\textit{configuration interaction using a perturbative selection made iteratively} (CIPSI) algorithm, \cite{Huron_1973,Giner_2013,Giner_2015,Garniron_2018}
|
||||
by allowing only for determinants having a given maximum hierarchy $h$ to be selected.
|
||||
\fk{It is worth mentioning that the determinant-driven framework of {\QP} allows the inclusion of any arbitrary set of determinants.}
|
||||
The excitation-based CI, seniority-based CI, and FCI calculations presented here were also performed with the CIPSI algorithm implemented in {\QP}. \cite{Garniron_2019}
|
||||
In practice, we consider, for a given CI level, the ground state energy to be converged when the second-order perturbation correction \fk{from the truncated Hilbert space} (which approximately measures the error between the selective and complete calculations) lies below \SI{0.01}{\milli\hartree}. \cite{Garniron_2018}
|
||||
It is worth mentioning that the determinant-driven framework of {\QP} allows the inclusion of any arbitrary set of determinants.
|
||||
In practice, we consider, for a given CI level, the ground state energy to be converged when the second-order perturbation correction computed in the truncated Hilbert space (which approximately measures the error between the selective and complete calculations) lies below \SI{0.01}{\milli\hartree}. \cite{Garniron_2018}
|
||||
These selected versions of CI require considerably fewer determinants than the formal number of determinants (understood as all those that belong to a given CI level, regardless of their weight or symmetry) of their complete counterparts.
|
||||
Nevertheless, we decided to present the results as functions of the formal number of determinants,
|
||||
Nevertheless, we decided to present the results as functions of the formal number of determinants (see above),
|
||||
which are not related to the particular algorithmic choices of the CIPSI calculations.
|
||||
\fk{The ground-state CI energy is obtained with the Davidson's iterative algorithm \cite{Davidson_1975} [Titou, please add the ref.],
|
||||
The ground-state CI energy is obtained with the Davidson iterative algorithm, \cite{Davidson_1975}
|
||||
which in the present implementation of {\QP} means that the computation and storage cost us $\order*{\Ndet^{3/2}}$ and $\order*{\Ndet}$, respectively.
|
||||
This shows that the determinant-driven algorithm is not optimal in general.
|
||||
However, the selected nature of the CIPSI algorithm means that the actual number of determinants is quite small and therefore calculations are technically feasable.}
|
||||
However, the selected nature of the CIPSI algorithm drastically reduces the actual number of determinants and therefore calculations are technically feasible.
|
||||
|
||||
The CI calculations were performed with both canonical HF orbitals and optimized orbitals.
|
||||
In the latter case, the energy is obtained variationally in the CI space and in the orbital parameter space, hence defining orbital-optimized CI (oo-CI) methods.
|
||||
|
Loading…
Reference in New Issue
Block a user