Improved molecular descriptors based on the optimization of correlation weights of local graph invariants
- Autores
- Krenkel, Germán; Castro, Eduardo A.; Toropov, Andrey A.
- Año de publicación
- 2001
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We report the calculation of boiling points for several alkyl alcohols through the use of improved molecular descriptors based on the optimization of correlation weights of local invariants of graphs. As local invariants we have used the presence of different chemical elements (i.e. C, H, and O) and the existence of different vertex degree values (i.e. 1, 2, 3 and 4). The inherent flexibility of the chosen molecular descriptor seems to be rather suitable to obtain satisfactory enough predictions of the property under study. Comparison with other similar approximation reveals a very good behavior of the present method. The use of higher order polynomials do not seem to be necessary to improve results regarding the simple linear fitting equations. Some possible future extensions are pointed out in order to achieve a more definitive conclusion about this approximation.
- Materia
-
Ciencias Químicas
alkyl alcohols
boiling points
correlation weights
flexible descriptors
local graph invariants - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/7081
Ver los metadatos del registro completo
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CICBA |
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network_name_str |
CIC Digital (CICBA) |
spelling |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariantsKrenkel, GermánCastro, Eduardo A.Toropov, Andrey A.Ciencias Químicasalkyl alcoholsboiling pointscorrelation weightsflexible descriptorslocal graph invariantsWe report the calculation of boiling points for several alkyl alcohols through the use of improved molecular descriptors based on the optimization of correlation weights of local invariants of graphs. As local invariants we have used the presence of different chemical elements (i.e. C, H, and O) and the existence of different vertex degree values (i.e. 1, 2, 3 and 4). The inherent flexibility of the chosen molecular descriptor seems to be rather suitable to obtain satisfactory enough predictions of the property under study. Comparison with other similar approximation reveals a very good behavior of the present method. The use of higher order polynomials do not seem to be necessary to improve results regarding the simple linear fitting equations. Some possible future extensions are pointed out in order to achieve a more definitive conclusion about this approximation.MDPI (Multidisciplinary Digital Publishing Institute)2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/7081enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-23T11:14:17Zoai:digital.cic.gba.gob.ar:11746/7081Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-23 11:14:17.811CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
title |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
spellingShingle |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants Krenkel, Germán Ciencias Químicas alkyl alcohols boiling points correlation weights flexible descriptors local graph invariants |
title_short |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
title_full |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
title_fullStr |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
title_full_unstemmed |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
title_sort |
Improved molecular descriptors based on the optimization of correlation weights of local graph invariants |
dc.creator.none.fl_str_mv |
Krenkel, Germán Castro, Eduardo A. Toropov, Andrey A. |
author |
Krenkel, Germán |
author_facet |
Krenkel, Germán Castro, Eduardo A. Toropov, Andrey A. |
author_role |
author |
author2 |
Castro, Eduardo A. Toropov, Andrey A. |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Químicas alkyl alcohols boiling points correlation weights flexible descriptors local graph invariants |
topic |
Ciencias Químicas alkyl alcohols boiling points correlation weights flexible descriptors local graph invariants |
dc.description.none.fl_txt_mv |
We report the calculation of boiling points for several alkyl alcohols through the use of improved molecular descriptors based on the optimization of correlation weights of local invariants of graphs. As local invariants we have used the presence of different chemical elements (i.e. C, H, and O) and the existence of different vertex degree values (i.e. 1, 2, 3 and 4). The inherent flexibility of the chosen molecular descriptor seems to be rather suitable to obtain satisfactory enough predictions of the property under study. Comparison with other similar approximation reveals a very good behavior of the present method. The use of higher order polynomials do not seem to be necessary to improve results regarding the simple linear fitting equations. Some possible future extensions are pointed out in order to achieve a more definitive conclusion about this approximation. |
description |
We report the calculation of boiling points for several alkyl alcohols through the use of improved molecular descriptors based on the optimization of correlation weights of local invariants of graphs. As local invariants we have used the presence of different chemical elements (i.e. C, H, and O) and the existence of different vertex degree values (i.e. 1, 2, 3 and 4). The inherent flexibility of the chosen molecular descriptor seems to be rather suitable to obtain satisfactory enough predictions of the property under study. Comparison with other similar approximation reveals a very good behavior of the present method. The use of higher order polynomials do not seem to be necessary to improve results regarding the simple linear fitting equations. Some possible future extensions are pointed out in order to achieve a more definitive conclusion about this approximation. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001 |
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 |
https://digital.cic.gba.gob.ar/handle/11746/7081 |
url |
https://digital.cic.gba.gob.ar/handle/11746/7081 |
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/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI (Multidisciplinary Digital Publishing Institute) |
publisher.none.fl_str_mv |
MDPI (Multidisciplinary Digital Publishing Institute) |
dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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1846783880081702912 |
score |
12.982451 |