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- W2891907757 endingPage "505703" @default.
- W2891907757 startingPage "505703" @default.
- W2891907757 abstract "The unique electronic, mechanical and optical properties of graphene make it a remarkable 2D material, widely explored in a plethora of applications. However, graphene zero-bandgap and the production of defect-free pristine graphene in large areas still limit some applications. To circumvent these issues, graphene-derived 2D materials have arisen as attractive candidates for low-dimensional systems, which requires a better comprehension of their properties. Here, we report a detailed investigation of the conduction mechanisms of two functionalized reduced graphene oxides (rGOs) nanoplatelets, named GPAH and GPSS. The functionalized rGO nanoplatelets were bottom-up assembled via the layer-by-layer technique, enabling molecular-level thickness control of nanostructures with well-defined composition and structure. For the reported multilayered GPAH/GPSS films the charge carriers followed Mott's law, presenting a typical conduction behavior of 2D systems described by the Poole–Frenkel model. The multilayered GPAH/GPSS nanostructure presented a conductivity of 10–4 S cm−1, optical bandgap of ∼3.3 eV and a relative dielectric permittivity (εr) of 6.4. Temperature-dependent I–V measurements indicated a strong variation of εr below the critical temperature (TC = 237 K), associated with a high dipole reorientation in the formed GPAH/GPSS nanostructure. All these characteristics make the GPAH/GPSS nanocomposite attractive for graphene-oriented applications, such as electronic devices." @default.
- W2891907757 created "2018-09-27" @default.
- W2891907757 creator A5020067320 @default.
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- W2891907757 date "2018-10-10" @default.
- W2891907757 modified "2023-10-16" @default.
- W2891907757 title "Poole–Frenkel emission on functionalized, multilayered-packed reduced graphene oxide nanoplatelets" @default.
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- W2891907757 doi "https://doi.org/10.1088/1361-6528/aae18e" @default.
- W2891907757 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30215613" @default.
- W2891907757 hasPublicationYear "2018" @default.
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