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Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
Predicting ground- and excited-state properties of open-shell organic molecules by electronic structure theory can be challenging because an accurate treatment has to correctly describe both static and dynamic electron correlation. Strongly correlated systems, i.e., systems with near-degeneracy corr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433034/ https://www.ncbi.nlm.nih.gov/pubmed/28553509 http://dx.doi.org/10.1039/c6sc05036k |
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author | Ghosh, Soumen Cramer, Christopher J. Truhlar, Donald G. Gagliardi, Laura |
author_facet | Ghosh, Soumen Cramer, Christopher J. Truhlar, Donald G. Gagliardi, Laura |
author_sort | Ghosh, Soumen |
collection | PubMed |
description | Predicting ground- and excited-state properties of open-shell organic molecules by electronic structure theory can be challenging because an accurate treatment has to correctly describe both static and dynamic electron correlation. Strongly correlated systems, i.e., systems with near-degeneracy correlation effects, are particularly troublesome. Multiconfigurational wave function methods based on an active space are adequate in principle, but it is impractical to capture most of the dynamic correlation in these methods for systems characterized by many active electrons. We recently developed a new method called multiconfiguration pair-density functional theory (MC-PDFT), that combines the advantages of wave function theory and density functional theory to provide a more practical treatment of strongly correlated systems. Here we present calculations of the singlet–triplet gaps in oligoacenes ranging from naphthalene to dodecacene. Calculations were performed for unprecedently large orbitally optimized active spaces of 50 electrons in 50 orbitals, and we test a range of active spaces and active space partitions, including four kinds of frontier orbital partitions. We show that MC-PDFT can predict the singlet–triplet splittings for oligoacenes consistent with the best available and much more expensive methods, and indeed MC-PDFT may constitute the benchmark against which those other models should be compared, given the absence of experimental data. |
format | Online Article Text |
id | pubmed-5433034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-54330342017-05-26 Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems Ghosh, Soumen Cramer, Christopher J. Truhlar, Donald G. Gagliardi, Laura Chem Sci Chemistry Predicting ground- and excited-state properties of open-shell organic molecules by electronic structure theory can be challenging because an accurate treatment has to correctly describe both static and dynamic electron correlation. Strongly correlated systems, i.e., systems with near-degeneracy correlation effects, are particularly troublesome. Multiconfigurational wave function methods based on an active space are adequate in principle, but it is impractical to capture most of the dynamic correlation in these methods for systems characterized by many active electrons. We recently developed a new method called multiconfiguration pair-density functional theory (MC-PDFT), that combines the advantages of wave function theory and density functional theory to provide a more practical treatment of strongly correlated systems. Here we present calculations of the singlet–triplet gaps in oligoacenes ranging from naphthalene to dodecacene. Calculations were performed for unprecedently large orbitally optimized active spaces of 50 electrons in 50 orbitals, and we test a range of active spaces and active space partitions, including four kinds of frontier orbital partitions. We show that MC-PDFT can predict the singlet–triplet splittings for oligoacenes consistent with the best available and much more expensive methods, and indeed MC-PDFT may constitute the benchmark against which those other models should be compared, given the absence of experimental data. Royal Society of Chemistry 2017-04-01 2017-01-19 /pmc/articles/PMC5433034/ /pubmed/28553509 http://dx.doi.org/10.1039/c6sc05036k Text en This journal is © The Royal Society of Chemistry 2017 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Ghosh, Soumen Cramer, Christopher J. Truhlar, Donald G. Gagliardi, Laura Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems |
title | Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
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title_full | Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
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title_fullStr | Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
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title_full_unstemmed | Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
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title_short | Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems
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title_sort | generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated, conjugated systems |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433034/ https://www.ncbi.nlm.nih.gov/pubmed/28553509 http://dx.doi.org/10.1039/c6sc05036k |
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