Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30810
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dc.contributor.authorRUBENS, Maarten-
dc.contributor.authorJUNKERS, Tanja-
dc.date.accessioned2020-03-16T14:22:43Z-
dc.date.available2020-03-16T14:22:43Z-
dc.date.issued2019-
dc.date.submitted2020-02-05T13:55:25Z-
dc.identifier.citationPOLYMER CHEMISTRY, 10 (42) , p. 5721 -5725-
dc.identifier.urihttp://hdl.handle.net/1942/30810-
dc.description.abstractThe physical properties of polymer samples are dependent on the overall shape and breadth of the molecular weight distribution (MWD). A small number of methods are available to tune the shape and characteristics of MWDs based on influencing controlled radical polymerizations and mixing individual distributions. However, no systematic framework exists to date to predict the characteristics and shapes of artificial MWDs prior to the experiments. In this work we present such a framework based on the interpolation of individual distributions.-
dc.description.sponsorshipThe authors are grateful to the Fonds Wetenschappelijk Onderzoek (FWO) for providing a SB scholarship for MR. Funding from Monash University is also kindly acknowledged.-
dc.language.isoen-
dc.publisherROYAL SOC CHEMISTRY-
dc.rights© The Royal Society of Chemistry 2019-
dc.subject.otherLIVING ANIONIC-POLYMERIZATION-
dc.subject.otherCOPOLYMERS-
dc.subject.otherPOLYDISPERSITY-
dc.titleA predictive framework for mixing low dispersity polymer samples to design custom molecular weight distributions-
dc.typeJournal Contribution-
dc.identifier.epage5725-
dc.identifier.issue42-
dc.identifier.spage5721-
dc.identifier.volume10-
local.format.pages5-
local.bibliographicCitation.jcatA1-
dc.description.notesJunkers, T (reprint author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium.; Junkers, T (reprint author), Monash Univ, Polymer React Design Grp, Sch Chem, 19 Rainforest Walk,Bldg 23, Clayton, Vic 3800, Australia.-
dc.description.notestanja.junkers@monash.edu-
dc.description.otherJunkers, T (reprint author), Hasselt Univ, Martelarenlaan 42, B-3500 Hasselt, Belgium. tanja.junkers@monash.edu-
local.publisher.placeTHOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1039/c9py01012b-
dc.identifier.isiWOS:000494842800002-
dc.contributor.orcidRubens, Maarten/0000-0003-2859-5766-
dc.identifier.eissn1759-9962-
local.provider.typewosris-
local.uhasselt.uhpubyes-
item.contributorRUBENS, Maarten-
item.contributorJUNKERS, Tanja-
item.fulltextWith Fulltext-
item.validationecoom 2020-
item.fullcitationRUBENS, Maarten & JUNKERS, Tanja (2019) A predictive framework for mixing low dispersity polymer samples to design custom molecular weight distributions. In: POLYMER CHEMISTRY, 10 (42) , p. 5721 -5725.-
item.accessRightsRestricted Access-
crisitem.journal.issn1759-9954-
crisitem.journal.eissn1759-9962-
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