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arxiv: 1109.0978 · v2 · pith:ZLOGNMBUnew · submitted 2011-09-05 · ❄️ cond-mat.mes-hall · cond-mat.mtrl-sci

A model of large volumetric capacitance in graphene supercapacitors based on ion clustering

classification ❄️ cond-mat.mes-hall cond-mat.mtrl-sci
keywords graphenelargesupercapacitorselectrodesionsstackvolumetricabsorption
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Electric double layer supercapacitors are promising devices for high-power energy storage based on the reversible absorption of ions into porous, conducting electrodes. Graphene is a particularly good candidate for the electrode material in supercapacitors due to its high conductivity and large surface area. In this paper we consider supercapacitor electrodes made from a stack of graphene sheets with randomly-inserted "spacer" molecules. We show that the large volumetric capacitances C > 100 F/cm^3 observed experimentally can be understood as a result of collective intercalation of ions into the graphene stack and the accompanying nonlinear screening by graphene electrons that renormalizes the charge of the ion clusters.

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