Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies
The second-order noniterative doubles-corrected random phase approximation (RPA) method has been extended to triplet excitation energies and the doubles-corrected higher RPA method as well as a shifted version for calculating singlet and triplet excitation energies are presented here for the first t...
| Authors: | , , , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2019 |
| Country: | Argentina |
| Institution: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repository: | CONICET Digital (CONICET) |
| Language: | English |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/105892 |
| Online Access: | http://hdl.handle.net/11336/105892 |
| Access Level: | Open access |
| Keyword: | RPA(D) HRPA(D) SINGLET EXCITED STATES TRIPLET EXCITED STATES https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
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Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation EnergiesHaase, Pi A. B.Faber, RasmusProvasi, Patricio FedericoSauer, Stephan P. A.RPA(D)HRPA(D)SINGLET EXCITED STATESTRIPLET EXCITED STATEShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The second-order noniterative doubles-corrected random phase approximation (RPA) method has been extended to triplet excitation energies and the doubles-corrected higher RPA method as well as a shifted version for calculating singlet and triplet excitation energies are presented here for the first time. A benchmark set consisting of 20 molecules with a total of 117 singlet and 71 triplet excited states has been used to test the performance of the new methods by comparison with previous results obtained with the second-order polarization propagator approximation (SOPPA) and the third order approximate coupled cluster singles, doubles and triples model CC3. In general, the second-order doubles corrections to RPA and HRPA significantly reduce both the mean deviation as well as the standard deviation of the errors compared to the CC3 results. The accuracy of the new methods approaches the accuracy of the SOPPA method while using only 10–60% of the calculation timeFil: Haase, Pi A. B.. University of Groningen; Países BajosFil: Faber, Rasmus. Technical University of Denmark; DinamarcaFil: Provasi, Patricio Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnológica; ArgentinaFil: Sauer, Stephan P. A.. Universidad de Copenhagen; DinamarcaJohn Wiley & Sons Inc2019-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/105892Haase, Pi A. B.; Faber, Rasmus; Provasi, Patricio Federico; Sauer, Stephan P. A.; Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies; John Wiley & Sons Inc; Journal of Computational Chemistry; 41; 1; 10-2019; 43-550192-86510192-8651CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.26074info:eu-repo/semantics/altIdentifier/doi/10.1002/jcc.26074info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:37:32Zoai:ri.conicet.gov.ar:11336/105892instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:37:32.8CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| title |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| spellingShingle |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies Haase, Pi A. B. RPA(D) HRPA(D) SINGLET EXCITED STATES TRIPLET EXCITED STATES https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| title_short |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| title_full |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| title_fullStr |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| title_full_unstemmed |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| title_sort |
Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies |
| dc.creator.none.fl_str_mv |
Haase, Pi A. B. Faber, Rasmus Provasi, Patricio Federico Sauer, Stephan P. A. |
| author |
Haase, Pi A. B. |
| author_facet |
Haase, Pi A. B. Faber, Rasmus Provasi, Patricio Federico Sauer, Stephan P. A. |
| author_role |
author |
| author2 |
Faber, Rasmus Provasi, Patricio Federico Sauer, Stephan P. A. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
RPA(D) HRPA(D) SINGLET EXCITED STATES TRIPLET EXCITED STATES https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| topic |
RPA(D) HRPA(D) SINGLET EXCITED STATES TRIPLET EXCITED STATES https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| description |
The second-order noniterative doubles-corrected random phase approximation (RPA) method has been extended to triplet excitation energies and the doubles-corrected higher RPA method as well as a shifted version for calculating singlet and triplet excitation energies are presented here for the first time. A benchmark set consisting of 20 molecules with a total of 117 singlet and 71 triplet excited states has been used to test the performance of the new methods by comparison with previous results obtained with the second-order polarization propagator approximation (SOPPA) and the third order approximate coupled cluster singles, doubles and triples model CC3. In general, the second-order doubles corrections to RPA and HRPA significantly reduce both the mean deviation as well as the standard deviation of the errors compared to the CC3 results. The accuracy of the new methods approaches the accuracy of the SOPPA method while using only 10–60% of the calculation time |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/105892 Haase, Pi A. B.; Faber, Rasmus; Provasi, Patricio Federico; Sauer, Stephan P. A.; Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies; John Wiley & Sons Inc; Journal of Computational Chemistry; 41; 1; 10-2019; 43-55 0192-8651 0192-8651 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/105892 |
| identifier_str_mv |
Haase, Pi A. B.; Faber, Rasmus; Provasi, Patricio Federico; Sauer, Stephan P. A.; Noniterative Doubles Corrections to the Random Phase and Higher Random Phase Approximations: Singlet and Triplet Excitation Energies; John Wiley & Sons Inc; Journal of Computational Chemistry; 41; 1; 10-2019; 43-55 0192-8651 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.26074 info:eu-repo/semantics/altIdentifier/doi/10.1002/jcc.26074 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
| eu_rights_str_mv |
openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
John Wiley & Sons Inc |
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John Wiley & Sons Inc |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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