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dc.contributor.authorHur, Kahyun
dc.contributor.authorHennig, Richard G.
dc.contributor.authorEscobedo, Fernando A.
dc.contributor.authorWiesner, Ulrich
dc.date.accessioned2016-02-28T05:50:00Z
dc.date.available2016-02-28T05:50:00Z
dc.date.issued2012-05-22
dc.identifier.citationHur K, Hennig RG, Escobedo FA, Wiesner U (2012) Predicting Chiral Nanostructures, Lattices and Superlattices in Complex Multicomponent Nanoparticle Self-Assembly. Nano Lett 12: 3218–3223. Available: http://dx.doi.org/10.1021/nl301209c.
dc.identifier.issn1530-6984
dc.identifier.issn1530-6992
dc.identifier.pmid22587566
dc.identifier.doi10.1021/nl301209c
dc.identifier.urihttp://hdl.handle.net/10754/599381
dc.description.abstract"Bottom up" type nanoparticle (NP) self-assembly is expected to provide facile routes to nanostructured materials for various, for example, energy related, applications. Despite progress in simulations and theories, structure prediction of self-assembled materials beyond simple model systems remains challenging. Here we utilize a field theory approach for predicting nanostructure of complex and multicomponent hybrid systems with multiple types of short- and long-range interactions. We propose design criteria for controlling a range of NP based nanomaterial structures. In good agreement with recent experiments, the theory predicts that ABC triblock terpolymer directed assemblies with ligand-stabilized NPs can lead to chiral NP network structures. Furthermore, we predict that long-range Coulomb interactions between NPs leading to simple NP lattices, when applied to NP/block copolymer (BCP) assemblies, induce NP superlattice formation within the phase separated BCP nanostructure, a strategy not yet realized experimentally. We expect such superlattices to be of increasing interest to communities involved in research on, for example, energy generation and storage, metamaterials, as well as microelectronics and information storage. © 2012 American Chemical Society.
dc.description.sponsorshipThis publication is based on work supported in part by Award No. KUS-C1-018-02, made by King Abdullah University of Science and Technology (KAUST). This work was further supported by a single investigator award of the National Science Foundation (DMR-1104773). The calculations were performed using computational resources of the Computational Center for Nanotechnology Innovation (CCNI) at Rensselaer Polytechnic Institute.
dc.publisherAmerican Chemical Society (ACS)
dc.subjectblock copolymer
dc.subjecthybrid materials
dc.subjectnanoparticle
dc.subjectself-assembly
dc.subjectSelf-consistent field theory
dc.titlePredicting Chiral Nanostructures, Lattices and Superlattices in Complex Multicomponent Nanoparticle Self-Assembly
dc.typeArticle
dc.identifier.journalNano Letters
dc.contributor.institutionCornell University, Ithaca, United States
kaust.grant.numberKUS-C1-018-02
dc.date.published-online2012-05-22
dc.date.published-print2012-06-13


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