Predicting the Mesophases of Copolymer-Nanoparticle Composites

dc.contributor.authorThompson, Russell B.
dc.contributor.authorGinzburg, Valeriy V.
dc.contributor.authorMatsen, Mark W.
dc.contributor.authorBalazs, Anna C.
dc.date.accessioned2022-01-07T18:50:46Z
dc.date.available2022-01-07T18:50:46Z
dc.date.issued2001
dc.descriptionThis is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on 292 June 29, 2002, DOI:10.1126/science.1060585.en
dc.description.abstractThe interactions between mesophase-forming copolymers and nanoscopic par- ticles can lead to highly organized hybrid materials. The morphology of such composites depends not only on the characteristics of the copolymers, but also on the features of the nanoparticles. To explore this vast parameter space and predict the mesophases of the hybrids, we have developed a mean field theory for mixtures of soft, flexible chains and hard spheres. Applied to diblock- nanoparticle mixtures, the theory predicts ordered phases where particles and diblocks self-assemble into spatially periodic structures. The method can be applied to other copolymer-particle mixtures and can be used to design novel composite architectures.en
dc.description.sponsorshipUS Department of Energy || National Science Foundation || Army Research Office || UK Engineering and Physical Sciences Research Councilen
dc.identifier.urihttps://doi.org/10.1126/science.1060585
dc.identifier.urihttp://hdl.handle.net/10012/17848
dc.language.isoenen
dc.publisherAmerican Association for the Advancement of Scienceen
dc.relation.ispartofseriesScience;
dc.subjectblock copolymersen
dc.subjectself-consistent field theoryen
dc.subjectnanocompositesen
dc.titlePredicting the Mesophases of Copolymer-Nanoparticle Compositesen
dc.typeArticleen
dcterms.bibliographicCitationScience 292, 2469-2472 2001en
uws.contributor.affiliation1Faculty of Scienceen
uws.contributor.affiliation2Physics and Astronomyen
uws.contributor.affiliation2Waterloo Institute for Nanotechnology (WIN)en
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.scholarLevelPost-Doctorateen
uws.scholarLevelStaffen
uws.typeOfResourceTexten

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