2019
DOI: 10.1002/slct.201901553
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Dahlia‐liked Carbon Nanohorns Decorated Graphene/Polyaniline Nanocomposite and Its Derived Nitrogen‐doped Carbon for High‐performance Supercapacitor

Abstract: A dahlia‐liked carbon nanohorns (CNHs) decorated graphene/polyaniline (CGP) nanocomposite was prepared via in situ chemical oxidation and hydrazine hydrate reducing. Firstly, dahlia‐liked CNHs decorated graphene oxide/polyaniline (CGOP) composite was synthesized from the polymerization of aniline monomers on the surface of graphene oxide with spherical dahlia‐liked carbon nanohorns as spacers. Then, the CGP composite was obtained by reducing CGOP using hydrazine hydrate. CGP exhibited a uniform three‐dimension… Show more

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Cited by 5 publications
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“…39 Generally, these functionalization approaches increase the specic effective surface of the SWCNHs while optimizing the structural parameters that inuence the capacitive properties of the SWCNH electrodes. 27,29,31,44 Therefore, due to a large surface area, homogeneous structure and capacity for modications, SWCNHs have found application in many electrochemical areas, such as Li-ion batteries, 30,[45][46][47][48] SCs, 26,27,29,31,44,49,50 sensors 41,[51][52][53] and/or fuel cells. [54][55][56] Moreover, SWCNHs could also be used as composites to construct complicated and hierarchical systems that exhibit optimized targeted properties.…”
Section: Introductionmentioning
confidence: 99%
“…39 Generally, these functionalization approaches increase the specic effective surface of the SWCNHs while optimizing the structural parameters that inuence the capacitive properties of the SWCNH electrodes. 27,29,31,44 Therefore, due to a large surface area, homogeneous structure and capacity for modications, SWCNHs have found application in many electrochemical areas, such as Li-ion batteries, 30,[45][46][47][48] SCs, 26,27,29,31,44,49,50 sensors 41,[51][52][53] and/or fuel cells. [54][55][56] Moreover, SWCNHs could also be used as composites to construct complicated and hierarchical systems that exhibit optimized targeted properties.…”
Section: Introductionmentioning
confidence: 99%