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dc.creatorJakšić, Olga
dc.creatorJokić, Ivana
dc.creatorJakšić, Zoran
dc.creatorMladenović, Ivana
dc.creatorRadulović, Katarina
dc.creatorFrantlović, Miloš
dc.date.accessioned2020-04-22T14:23:20Z
dc.date.available2021-04-13
dc.date.issued2020
dc.identifier.issn0947-8396
dc.identifier.urihttps://cer.ihtm.bg.ac.rs/handle/123456789/3493
dc.description.abstractIn order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.en
dc.language.isoensr
dc.publisherSpringer Naturesr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/32008/RS//sr
dc.rightsembargoedAccesssr
dc.sourceApplied Physics Asr
dc.subjectadsorption kineticssr
dc.subjectmachine learning algorithmssr
dc.subjectplasmonic sensingsr
dc.subjectstochastic simulation algorithmssr
dc.titleThe time response of plasmonic sensors due to binary adsorption: analytical versus numerical modelingen
dc.typearticlesr
dc.rights.licenseARRsr
dcterms.abstractРадуловић, Катарина; Франтловић, Милош; Јакшић, Олга; Јокић, Ивана; Јакшић, Зоран; Младеновић, Ивана;
dc.rights.holderSpringer Naturesr
dc.citation.volume126
dc.citation.spage342
dc.citation.rankM22~
dc.description.otherThis is a post-peer-review, pre-copyedit version of an article (Jakšić, O., Jokić, I., Jakšić, Z. et al. The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling) published in Applied Physics A: Materials Science and Processing (Appl. Phys. A 126, 342, 2020) The final authenticated version is available online at: [https://doi.org/10.1007/s00339-020-03524-3]en
dc.description.otherThe published version: [http://cer.ihtm.bg.ac.rs/handle/123456789/3494]
dc.identifier.doi10.1007/s00339-020-03524-3
dc.identifier.fulltexthttps://cer.ihtm.bg.ac.rs/bitstream/id/16357/BinaryAdsorptionModeling.pdf
dc.identifier.scopus2-s2.0-85083375372
dc.identifier.wos000526931900003
dc.type.versionacceptedVersionsr


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