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Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals

[Image: see text] In this contribution, we present the implementation of a second-order complete active space–self-consistent field (CASSCF) algorithm in conjunction with the Cholesky decomposition of the two-electron repulsion integrals. The algorithm, called norm-extended optimization, guarantees...

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Autores principales: Nottoli, Tommaso, Gauss, Jürgen, Lipparini, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582256/
https://www.ncbi.nlm.nih.gov/pubmed/34719925
http://dx.doi.org/10.1021/acs.jctc.1c00327
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author Nottoli, Tommaso
Gauss, Jürgen
Lipparini, Filippo
author_facet Nottoli, Tommaso
Gauss, Jürgen
Lipparini, Filippo
author_sort Nottoli, Tommaso
collection PubMed
description [Image: see text] In this contribution, we present the implementation of a second-order complete active space–self-consistent field (CASSCF) algorithm in conjunction with the Cholesky decomposition of the two-electron repulsion integrals. The algorithm, called norm-extended optimization, guarantees convergence of the optimization, but it involves the full Hessian and is therefore computationally expensive. Coupling the second-order procedure with the Cholesky decomposition leads to a significant reduction in the computational cost, reduced memory requirements, and an improved parallel performance. As a result, CASSCF calculations of larger molecular systems become possible as a routine task. The performance of the new implementation is illustrated by means of benchmark calculations on molecules of increasing size, with up to about 3000 basis functions and 14 active orbitals.
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spelling pubmed-85822562021-11-12 Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals Nottoli, Tommaso Gauss, Jürgen Lipparini, Filippo J Chem Theory Comput [Image: see text] In this contribution, we present the implementation of a second-order complete active space–self-consistent field (CASSCF) algorithm in conjunction with the Cholesky decomposition of the two-electron repulsion integrals. The algorithm, called norm-extended optimization, guarantees convergence of the optimization, but it involves the full Hessian and is therefore computationally expensive. Coupling the second-order procedure with the Cholesky decomposition leads to a significant reduction in the computational cost, reduced memory requirements, and an improved parallel performance. As a result, CASSCF calculations of larger molecular systems become possible as a routine task. The performance of the new implementation is illustrated by means of benchmark calculations on molecules of increasing size, with up to about 3000 basis functions and 14 active orbitals. American Chemical Society 2021-11-01 2021-11-09 /pmc/articles/PMC8582256/ /pubmed/34719925 http://dx.doi.org/10.1021/acs.jctc.1c00327 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Nottoli, Tommaso
Gauss, Jürgen
Lipparini, Filippo
Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title_full Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title_fullStr Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title_full_unstemmed Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title_short Second-Order CASSCF Algorithm with the Cholesky Decomposition of the Two-Electron Integrals
title_sort second-order casscf algorithm with the cholesky decomposition of the two-electron integrals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582256/
https://www.ncbi.nlm.nih.gov/pubmed/34719925
http://dx.doi.org/10.1021/acs.jctc.1c00327
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