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dc.contributor.authorSilva, Flávio Matias dapt_BR
dc.contributor.authorSilva, Tiago Fiorini dapt_BR
dc.contributor.authorKoval, Nataliapt_BR
dc.contributor.authorPereira, J. J. N.pt_BR
dc.contributor.authorAntunes, Paula Cristina Guimarãespt_BR
dc.contributor.authorSiqueira, P.T.D.pt_BR
dc.contributor.authorTabacniks, Manfredo Harript_BR
dc.contributor.authorYoriyaz, Héliopt_BR
dc.contributor.authorShorto, J. M.B.pt_BR
dc.date.accessioned2024-11-09T06:41:31Zpt_BR
dc.date.issued2024pt_BR
dc.identifier.issn2045-2322pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/281070pt_BR
dc.description.abstractThis comprehensive study delves into the intricate interplay between protons and organic polymers, ofering insights into proton therapy in cancer treatment. Focusing on the infuence of the spatial electron density distribution on stopping power estimates, we employed real-time time-dependent density functional theory coupled with the Penn method. Surprisingly, the assumption of electron density homogeneity in polymers is fundamentally fawed, resulting in an overestimation of stopping power values at energies below 2 MeV. Moreover, the Bragg rule application in specifc compounds exhibited signifcant deviations from experimental data around the stopping maximum, challenging established norms.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofScientific reports. London. Vol. 14 (Apr. 2024), 9868, 10 p.pt_BR
dc.rightsOpen Accessen
dc.subjectModelagem computacionalpt_BR
dc.subjectPolímeros orgânicospt_BR
dc.subjectPrótonspt_BR
dc.titleEfficient computational modeling of electronic stopping power of organic polymers for proton therapy optimizationpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001208272pt_BR
dc.type.originEstrangeiropt_BR


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