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dc.creatorGonçalves, Mateus A.-
dc.creatorG. Júnior, Arismar M.-
dc.creatorCunha, Elaine F. F. da-
dc.creatorRamalho, Teodorico C.-
dc.date.accessioned2022-01-13T22:21:25Z-
dc.date.available2022-01-13T22:21:25Z-
dc.date.issued2021-07-16-
dc.identifier.citationGONÇALVES, M. A. et al. Investigating an efficient and accurate protocol for sampling structures from molecular dynamics simulations: a close look by different wavelet families. Theoretical Chemistry Accounts, [S.l.], v. 140, July 2021. DOI: 10.1007/s00214-021-02816-y.pt_BR
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs00214-021-02816-ypt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/48836-
dc.description.abstractMolecular dynamics (MD) simulations are widely used to predict the behavior of molecular systems over time. However, one of the significant challenges of MD simulations is how to treat the thousands of configurations obtained from calculations, since the number of the quantum calculations (QM) required for evaluating electronic parameters is too high and, sometimes, computationally impracticable. Thus, an efficient and accurate sampling protocol is essential for combining classical MD and QM calculations. In this article, based on the OWSCA method, 93 wavelet signals were analyzed in order to further refine the method and identify the best wavelet family for [Fe(H2O)6]2+ and [Mn(H2O)6]2+ complexes in solution. Our results point out that the bior1.3 was the best wavelet; values closest to the experimental data were obtained for both studied systems.pt_BR
dc.languageen_USpt_BR
dc.publisherSpringerpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceTheoretical Chemistry Accountspt_BR
dc.subjectWavelet decompositionpt_BR
dc.subjectComputational chemistrypt_BR
dc.subjectMolecular dynamicspt_BR
dc.subjectOWSCA methodpt_BR
dc.subjectTheoretical calculationspt_BR
dc.subjectOptimal wavelet signal compression algorithm (OWSCA)pt_BR
dc.titleInvestigating an efficient and accurate protocol for sampling structures from molecular dynamics simulations: a close look by different wavelet familiespt_BR
dc.typeArtigopt_BR
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