Functional group corrections to the GFN2-xTB and PM6 semiempirical methods for noncovalent interactions in alkanes and alkenes
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Química Física | |
| dc.contributor.author | Cabaleiro Lago, Enrique Manuel | |
| dc.contributor.author | Fernández Rodríguez, Berta | |
| dc.contributor.author | Rodríguez-Fernández, Roberto | |
| dc.contributor.author | Rodríguez Otero, Jesús | |
| dc.contributor.author | Vázquez Rodríguez, Saulo Ángel | |
| dc.date.accessioned | 2025-01-20T12:21:43Z | |
| dc.date.available | 2025-01-20T12:21:43Z | |
| dc.date.issued | 2023-03-22 | |
| dc.description.abstract | Analytical corrections were developed to improve the accuracy of the PM6 and GFN2-xTB semiempirical quantum mechanical (SQM) methods for the evaluation of noncovalent interaction energies in alkanes and alkenes. We followed the approach of functional group corrections (FGC), wherein the atom-atom pair corrections depend on the nature of the interacting functional groups. The training set includes 21 alkane and 13 alkene complexes taken from the Donchev’s database [Scientific Data 8 (2021) 55], with interaction energies calculated at the CCSD(T)/CBS level, as well as our own data obtained for medium-size complexes (of 100 and 112 atoms). In general, for the systems included in the training and validation sets, the errors obtained with the PM6-FGC and xTB-FGC methods are within chemical accuracy. | |
| dc.description.peerreviewed | SI | |
| dc.description.sponsorship | We thank the Galician Supercomputer Center (CESGA) for the use of their computational facilities. This research was funded by Ministerio de Ciencia e Innovación, grants number PID2019-107307RB-100 and PID2020-117605GB-100, and Xunta de Galicia, grant number ED431C 2021/40. We are also thankful for the financial support of the EU Doctoral Network PHYMOL 101073474 (project call reference HORIZON-MSCA-2021-DN-01) and of the COST Action CA21101 "Confined molecular systems: from a new generation of materials to the stars" (COSY) supported by COST (European Cooperation in Science and Technology) | |
| dc.identifier.citation | Cabaleiro-Lago, E. M., Fernández, B., Rodríguez-Fernández, R., Rodríguez-Otero, J., Vázquez, S. A. (2023). Functional group corrections to the GFN2-xTB and PM6 semiempirical methods for noncovalent interactions in alkanes and alkenes. "The Journal Of Chemical Physics", vol. 158, 124105 | |
| dc.identifier.doi | doi.org/10.1063/5.0140668 | |
| dc.identifier.essn | 1089-7690 | |
| dc.identifier.issn | 0021-9606 | |
| dc.identifier.uri | https://hdl.handle.net/10347/38775 | |
| dc.journal.title | The Journal of Chemical Physics | |
| dc.language.iso | eng | |
| dc.page.initial | 124105 | |
| dc.publisher | AIP Publishing | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107307RB-I00/ES/SIMULACION DE BIOCOMBUSTIBLES Y ADITIVOS DE GASOLINA/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117605GB-I00/ES/SISTEMAS MOLECULARES CONFINADOS: LA NUEVA GENERACION DE MATERIALES/ | |
| dc.relation.publisherversion | https://doi.org/10.1063/5.0140668 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Alcanos | |
| dc.subject | Alquenos | |
| dc.subject.classification | 2307 Química física | |
| dc.title | Functional group corrections to the GFN2-xTB and PM6 semiempirical methods for noncovalent interactions in alkanes and alkenes | |
| dc.type | journal article | |
| dc.type.hasVersion | AM | |
| dc.volume.number | 158 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | cae389b7-4a38-481e-b348-4a3d4d6707fb | |
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| relation.isAuthorOfPublication | a4dd7d81-2508-4f4b-8371-7f478e60a08f | |
| relation.isAuthorOfPublication.latestForDiscovery | cae389b7-4a38-481e-b348-4a3d4d6707fb |
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