Energy decompositions according to physical space partitioning schemes
- Autores
- Alcoba, D.R.; Torre, A.; Lain, L.; Bochicchio, R.C.
- Año de publicación
- 2005
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work describes simple decompositions of the energy of molecular systems according to schemes that partition the three-dimensional space. The components of those decompositions depend on one and two atomic domains thus providing a meaningful chemical information about the nature of different bondings among the atoms which compose the system. Our algorithms can be applied at any level of theory (correlated or uncorrelated wave functions). The results reported here, obtained at the Hartree-Fock level in selected molecules, show a good agreement with the chemical picture of molecules and require a low computational cost in comparison with other previously reported decompositions.
Fil:Bochicchio, R.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. - Fuente
- J Chem Phys 2005;122(7)
- Materia
-
Chemical picture
Computational costs
Energy decomposition
Physical space partitioning schemes
Algorithms
Atoms
Chemical bonds
Computational methods
Costs
Decomposition
Energy management
Molecular dynamics - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/2.5/ar
- Repositorio
- Institución
- Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
- OAI Identificador
- paperaa:paper_00219606_v122_n7_p_Alcoba
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Biblioteca Digital (UBA-FCEN) |
spelling |
Energy decompositions according to physical space partitioning schemesAlcoba, D.R.Torre, A.Lain, L.Bochicchio, R.C.Chemical pictureComputational costsEnergy decompositionPhysical space partitioning schemesAlgorithmsAtomsChemical bondsComputational methodsCostsDecompositionEnergy managementMolecular dynamicsThis work describes simple decompositions of the energy of molecular systems according to schemes that partition the three-dimensional space. The components of those decompositions depend on one and two atomic domains thus providing a meaningful chemical information about the nature of different bondings among the atoms which compose the system. Our algorithms can be applied at any level of theory (correlated or uncorrelated wave functions). The results reported here, obtained at the Hartree-Fock level in selected molecules, show a good agreement with the chemical picture of molecules and require a low computational cost in comparison with other previously reported decompositions.Fil:Bochicchio, R.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2005info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_00219606_v122_n7_p_AlcobaJ Chem Phys 2005;122(7)reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-09-29T13:43:03Zpaperaa:paper_00219606_v122_n7_p_AlcobaInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-09-29 13:43:04.522Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse |
dc.title.none.fl_str_mv |
Energy decompositions according to physical space partitioning schemes |
title |
Energy decompositions according to physical space partitioning schemes |
spellingShingle |
Energy decompositions according to physical space partitioning schemes Alcoba, D.R. Chemical picture Computational costs Energy decomposition Physical space partitioning schemes Algorithms Atoms Chemical bonds Computational methods Costs Decomposition Energy management Molecular dynamics |
title_short |
Energy decompositions according to physical space partitioning schemes |
title_full |
Energy decompositions according to physical space partitioning schemes |
title_fullStr |
Energy decompositions according to physical space partitioning schemes |
title_full_unstemmed |
Energy decompositions according to physical space partitioning schemes |
title_sort |
Energy decompositions according to physical space partitioning schemes |
dc.creator.none.fl_str_mv |
Alcoba, D.R. Torre, A. Lain, L. Bochicchio, R.C. |
author |
Alcoba, D.R. |
author_facet |
Alcoba, D.R. Torre, A. Lain, L. Bochicchio, R.C. |
author_role |
author |
author2 |
Torre, A. Lain, L. Bochicchio, R.C. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Chemical picture Computational costs Energy decomposition Physical space partitioning schemes Algorithms Atoms Chemical bonds Computational methods Costs Decomposition Energy management Molecular dynamics |
topic |
Chemical picture Computational costs Energy decomposition Physical space partitioning schemes Algorithms Atoms Chemical bonds Computational methods Costs Decomposition Energy management Molecular dynamics |
dc.description.none.fl_txt_mv |
This work describes simple decompositions of the energy of molecular systems according to schemes that partition the three-dimensional space. The components of those decompositions depend on one and two atomic domains thus providing a meaningful chemical information about the nature of different bondings among the atoms which compose the system. Our algorithms can be applied at any level of theory (correlated or uncorrelated wave functions). The results reported here, obtained at the Hartree-Fock level in selected molecules, show a good agreement with the chemical picture of molecules and require a low computational cost in comparison with other previously reported decompositions. Fil:Bochicchio, R.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. |
description |
This work describes simple decompositions of the energy of molecular systems according to schemes that partition the three-dimensional space. The components of those decompositions depend on one and two atomic domains thus providing a meaningful chemical information about the nature of different bondings among the atoms which compose the system. Our algorithms can be applied at any level of theory (correlated or uncorrelated wave functions). The results reported here, obtained at the Hartree-Fock level in selected molecules, show a good agreement with the chemical picture of molecules and require a low computational cost in comparison with other previously reported decompositions. |
publishDate |
2005 |
dc.date.none.fl_str_mv |
2005 |
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/20.500.12110/paper_00219606_v122_n7_p_Alcoba |
url |
http://hdl.handle.net/20.500.12110/paper_00219606_v122_n7_p_Alcoba |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/2.5/ar |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
J Chem Phys 2005;122(7) reponame:Biblioteca Digital (UBA-FCEN) instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales instacron:UBA-FCEN |
reponame_str |
Biblioteca Digital (UBA-FCEN) |
collection |
Biblioteca Digital (UBA-FCEN) |
instname_str |
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
instacron_str |
UBA-FCEN |
institution |
UBA-FCEN |
repository.name.fl_str_mv |
Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales |
repository.mail.fl_str_mv |
ana@bl.fcen.uba.ar |
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1844618738482020352 |
score |
13.070432 |