Combinatorics and Modelling of Highly Branched Polymers

dc.contributor.advisorMadras, Neal M.
dc.contributor.authorPalin, Jason
dc.date.accessioned2025-11-11T20:04:21Z
dc.date.available2025-11-11T20:04:21Z
dc.date.copyright2025-08-07
dc.date.issued2025-11-11
dc.date.updated2025-11-11T20:04:20Z
dc.degree.disciplineMathematics & Statistics
dc.degree.levelMaster's
dc.degree.nameMA - Master of Arts
dc.description.abstractHighly branched polymers such as dendrimers and hyperbranched polymers have a found a variety of chemical applications owing to their unique structural and functional properties, but in many cases are still lacking sufficient theoretical characterization.  This thesis takes marginal steps toward addressing this by firstly studying a combinatorial analog of the Degree of Branching – a quantity used by chemists to classify the extent of branching in polymers -- in the mathematically convenient setting of lattice models of polymers.  Next the adsorption behaviour of dendrimers is studied by adapting the Monte Carlo method of Random Sequential Adsorption to dendrimers and applying the model to experimental results of a novel synthetic dendrimer of interest (dendritic Polyglycerol Amine).
dc.identifier.urihttps://hdl.handle.net/10315/43299
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectPolymer chemistry
dc.subjectApplied mathematics
dc.subject.keywordsPolymers
dc.subject.keywordsBranched Polymers
dc.subject.keywordsDendrimers
dc.subject.keywordsCombinatorics
dc.subject.keywordsPolymer Adsorption
dc.subject.keywordsRandom Sequential Adsorption
dc.subject.keywordsStochastic Modelling
dc.subject.keywordsDegree of Branching
dc.titleCombinatorics and Modelling of Highly Branched Polymers
dc.typeElectronic Thesis or Dissertation

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