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Complex Linear Response Functions for a Multiconfigurational Self-Consistent Field Wave Function in a High Performance Computing Environment
[Image: see text] We present novel developments for the highly efficient evaluation of complex linear response functions of a multiconfigurational self-consistent field (MCSCF) wave function as implemented in MultiPsi. Specifically, expressions for the direct evaluation of linear response properties...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500980/ https://www.ncbi.nlm.nih.gov/pubmed/37596971 http://dx.doi.org/10.1021/acs.jctc.3c00317 |
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author | Scott, Mikael Delcey, Mickael G. |
author_facet | Scott, Mikael Delcey, Mickael G. |
author_sort | Scott, Mikael |
collection | PubMed |
description | [Image: see text] We present novel developments for the highly efficient evaluation of complex linear response functions of a multiconfigurational self-consistent field (MCSCF) wave function as implemented in MultiPsi. Specifically, expressions for the direct evaluation of linear response properties at given frequencies using the complex polarization propagator (CPP) approach have been implemented, within both the Tamm-Dancoff approximation (TDA) and the random phase approximation (RPA). Purely real algebra with symmetric and antisymmetric trial vectors in a shared subspace is used wherein the linear response equations are solved. Two bottlenecks of large scale MC-CPP calculations, namely, the memory footprint and computational time, are addressed. The former is addressed by limiting the size of the subspace of trial vectors by using singular value decomposition (SVD) on either orbital or CI subspaces. The latter is addressed using an efficient parallel implementation as well as the strategy of dynamically adding linear response equations at near-convergence to neighboring roots. Furthermore, a novel methodology for decomposing MC-CPP spectra in terms of intuitive orbital excitations in an approximate fashion is presented. The performance of the code is illustrated with several numerical examples, including the X-ray spectrum of a molecule with nearly one hundred atoms. Additionally, for X-ray spectroscopy, the effect of including or excluding the core orbital in the active space on small covalent metal complexes is discussed. |
format | Online Article Text |
id | pubmed-10500980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-105009802023-09-15 Complex Linear Response Functions for a Multiconfigurational Self-Consistent Field Wave Function in a High Performance Computing Environment Scott, Mikael Delcey, Mickael G. J Chem Theory Comput [Image: see text] We present novel developments for the highly efficient evaluation of complex linear response functions of a multiconfigurational self-consistent field (MCSCF) wave function as implemented in MultiPsi. Specifically, expressions for the direct evaluation of linear response properties at given frequencies using the complex polarization propagator (CPP) approach have been implemented, within both the Tamm-Dancoff approximation (TDA) and the random phase approximation (RPA). Purely real algebra with symmetric and antisymmetric trial vectors in a shared subspace is used wherein the linear response equations are solved. Two bottlenecks of large scale MC-CPP calculations, namely, the memory footprint and computational time, are addressed. The former is addressed by limiting the size of the subspace of trial vectors by using singular value decomposition (SVD) on either orbital or CI subspaces. The latter is addressed using an efficient parallel implementation as well as the strategy of dynamically adding linear response equations at near-convergence to neighboring roots. Furthermore, a novel methodology for decomposing MC-CPP spectra in terms of intuitive orbital excitations in an approximate fashion is presented. The performance of the code is illustrated with several numerical examples, including the X-ray spectrum of a molecule with nearly one hundred atoms. Additionally, for X-ray spectroscopy, the effect of including or excluding the core orbital in the active space on small covalent metal complexes is discussed. American Chemical Society 2023-08-19 /pmc/articles/PMC10500980/ /pubmed/37596971 http://dx.doi.org/10.1021/acs.jctc.3c00317 Text en © 2023 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 | Scott, Mikael Delcey, Mickael G. Complex Linear Response Functions for a Multiconfigurational Self-Consistent Field Wave Function in a High Performance Computing Environment |
title | Complex Linear
Response Functions for a Multiconfigurational
Self-Consistent Field Wave Function in a High Performance Computing
Environment |
title_full | Complex Linear
Response Functions for a Multiconfigurational
Self-Consistent Field Wave Function in a High Performance Computing
Environment |
title_fullStr | Complex Linear
Response Functions for a Multiconfigurational
Self-Consistent Field Wave Function in a High Performance Computing
Environment |
title_full_unstemmed | Complex Linear
Response Functions for a Multiconfigurational
Self-Consistent Field Wave Function in a High Performance Computing
Environment |
title_short | Complex Linear
Response Functions for a Multiconfigurational
Self-Consistent Field Wave Function in a High Performance Computing
Environment |
title_sort | complex linear
response functions for a multiconfigurational
self-consistent field wave function in a high performance computing
environment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500980/ https://www.ncbi.nlm.nih.gov/pubmed/37596971 http://dx.doi.org/10.1021/acs.jctc.3c00317 |
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