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dc.creatorSchmitz, Guy
dc.creatorKolar-Anić, Ljiljana
dc.creatorAnić, Slobodan
dc.creatorČupić, Željko
dc.date.accessioned2019-01-30T17:17:07Z
dc.date.available2019-01-30T17:17:07Z
dc.date.issued2008
dc.identifier.issn1089-5639
dc.identifier.urihttp://cer.ihtm.bg.ac.rs/handle/123456789/385
dc.description.abstractThe stoichiometric network analysis (SNA) introduced by B. L. Clarke is applied to a simplified model of the complex oscillating Bray-Liebhafsky reaction under batch conditions, which was not examined by this method earlier. This powerful method for the analysis of steady-states stability is also used to transform the classical differential equations into dimensionless equations. This transformation is easy and leads to a form of the equations combining the advantages of classical dimensionless equations with the advantages of the SNA. The used dimensionless parameters have orders of magnitude given by the experimental information about concentrations and currents. This simplifies greatly the study of the slow manifold and shows which parameters are essential for controlling its shape and consequently have an important influence oil the trajectories. The effectiveness of these equations is illustrated on two examples: the study of the bifurcations points and a simple sensitivity analysis, different from the classical one, more based on the chemistry of the studied system.en
dc.publisherAmerican Chemical Society (ACS)
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142025/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142019/RS//
dc.rightsrestrictedAccess
dc.sourceJournal of Physical Chemistry A
dc.titleStoichiometric Network Analysis and Associated Dimensionless Kinetic Equations. Application to a Model of the Bray-Liebhafsky Reactionen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractAниц, Слободан Р.; Сцхмитз, Гуy; Чупић, Жељко; Колар-Aниц, Љиљана З.;
dc.citation.volume112
dc.citation.issue51
dc.citation.spage13452
dc.citation.epage13457
dc.citation.other112(51): 13452-13457
dc.citation.rankM21
dc.identifier.pmid19093819
dc.identifier.doi10.1021/jp8056674
dc.identifier.rcubConv_2428
dc.identifier.scopus2-s2.0-58149163150
dc.identifier.wos000262018900024
dc.type.versionpublishedVersion


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