Nanoparticle Netpoints for Shape-Memory Polymers†
Praveen Agarwal
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Search for more papers by this authorMadhur Chopra
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Search for more papers by this authorCorresponding Author
Prof. Lynden A. Archer
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)Search for more papers by this authorPraveen Agarwal
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Search for more papers by this authorMadhur Chopra
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Search for more papers by this authorCorresponding Author
Prof. Lynden A. Archer
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)
Department of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850 (USA)Search for more papers by this authorThis work was supported by Award No. KUS-C1-018-02, made by King Abdullah University of Science and Technology (KAUST), and by the National Science Foundation, Award No. DMR-1006323. Facilities available though the Cornell Center for Materials Research (CCMR) were used for this study.
Graphical Abstract
Vergissmeinnicht: Die Einführung von Nanopartikeln verbessert üblicherweise die mechanischen Eigenschaften von Polymeren auf Kosten ihres Formgedächtnisses. Ein neuer Ansatz löst dieses Problem durch Vernetzen von funktionalisierten Poly(ethylenglycol)-Gruppen auf Siliciumdioxid-Nanopartikeln (siehe Bild).
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