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      Influence of carbon nanotube suspensions on the structural, optical, and electrical properties of grown ZnO nanorods

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          Most cited references62

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          A review on carbon nanotubes and graphene as fillers in reinforced polymer nanocomposites

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            Graphene nanomesh by ZnO nanorod photocatalysts.

            O Akhavan (2010)
            Local photodegradation of graphene oxide sheets at the tip of ZnO nanorods was used to achieve semiconducting graphene nanomeshes. The chemically exfoliated graphene oxide sheets, with a thickness of approximately 0.9 nm, were deposited on quartz substrates. Vertically aligned ZnO nanorod arrays with diameters of 140 nm and lengths of <1 microm were grown on a glass substrate by using a hydrothermal method. The graphene oxide sheets were physically attached to the tip of the ZnO nanorods by assembling the sheets on the nanorods. UV-assisted photodegradation of the graphene oxide sheets (with dimension of approximately 5x5 microm) at a contact place with the ZnO nanorods resulted in graphene nanomeshes with a pore size of approximately 200 nm. The graphene nanomeshes prepared by using the photocatalytic property of the ZnO nanorods contained smaller oxygen-containing carbonaceous bonds and higher defects as compared to the as-prepared graphene oxide sheets. When chemical reduction of the graphene nanomeshes by hydrazine was used, the oxygen bonds of the nanomeshes more decreased while their graphitization increased. Based on X-ray photoelectron spectroscopy at low binding energies, the graphene nanomeshes reduced by hydrazine exhibited as a broad sheet a p-type semiconductor with an approximately 1.2 eV energy gap between the valence band and the Fermi level.
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              ZnO nanostructures for optoelectronics: Material properties and device applications

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                Author and article information

                Journal
                Applied Physics A
                Appl. Phys. A
                Springer Science and Business Media LLC
                0947-8396
                1432-0630
                August 2023
                July 03 2023
                August 2023
                : 129
                : 8
                Article
                10.1007/s00339-023-06801-z
                99ea1480-3cf3-4456-ae19-061c30b5c6aa
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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