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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2021-10-01T00:12:22Z
dc.date.available2021-10-01T00:12:22Z
dc.date.issued2021-02-28
dc.identifier.citationNieto, H. (2021). Computational simulation of artificial nanoparticles paths. IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 193-197. https://doi.org/10.1109/AIKE48582.2020.00045es_PE
dc.identifier.urihttps://hdl.handle.net/11537/28011
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.es_PE
dc.description.abstractABSTRACT In this paper the action to deliver nanoparticles in prospective Nanomedicine is computationally simulated. For this end, the usage of quantum mechanics has as end to describe the different paths that nanoparticles travel from a generator to a concrete target. The presence of ions might be against the purpose of the technique of Drug Delivery Targeted by which assumes that not any noise might coexist together to the nanoparticles. This paper presents simulations by which the Brownian dynamics would alter the nanoparticles paths. From the results one finds that depending on the energy interactions it would be a cause for errors and deviation of nanoparticles along their path to the desired target.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/closedAccesses_PE
dc.sourceUniversidad Privada del Nortees_PE
dc.sourceRepositorio Institucional - UPNes_PE
dc.subjectFarmacologíaes_PE
dc.subjectMedicamentoses_PE
dc.subjectSimulación por computadoraes_PE
dc.titleComputational simulation of artificial nanoparticles pathses_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.publisher.countryUSes_PE
dc.identifier.journalIEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)es_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.03es_PE
dc.description.sedeLos Olivoses_PE
dc.identifier.doihttps://doi.org/10.1109/AIKE48582.2020.00045


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