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Photo-Rechargeable Zinc-Ion Capacitor Using 2D Graphitic Carbon Nitride.
Boruah, Buddha Deka; Mathieson, Angus; Wen, Bo; Jo, Changshin; Deschler, Felix; De Volder, Michael.
Afiliação
  • Boruah BD; Institute for Manufacturing, Department of Engineering, University of Cambridge, Cambridge CB3 0FS, United Kingdom.
  • Mathieson A; Institute for Manufacturing, Department of Engineering, Cavendish Laboratory, University of Cambridge, Cambridge CB3 0FS, United Kingdom.
  • Wen B; Cambridge Graphene Centre, University of Cambridge, Cambridge CB3 0FA, United Kingdom.
  • Jo C; Institute for Manufacturing, Department of Engineering, University of Cambridge, Cambridge CB3 0FS, United Kingdom.
  • Deschler F; Cambridge Graphene Centre, University of Cambridge, Cambridge CB3 0FA, United Kingdom.
  • De Volder M; Institute for Manufacturing, Department of Engineering, University of Cambridge, Cambridge CB3 0FS, United Kingdom.
Nano Lett ; 20(8): 5967-5974, 2020 Aug 12.
Article em En | MEDLINE | ID: mdl-32589038
ABSTRACT
Off-grid energy storage devices are becoming increasingly important to power distributed applications, such as the Internet of things, and smart city ubiquitous sensor systems. To date, this has been achieved by combining an energy storage device, e.g., a battery or capacitor with an energy harvester, e.g., a solar cell. However, this approach inherently increases the device footprint and the output voltages of energy harvesters often do not match those required by energy storage device. Here we propose the first photo-rechargeable zinc-ion capacitors, where graphitic carbon nitride acts simultaneously as the capacitor electrode and light harvesting material. This approach allows light to be used to recharge the capacitor directly and they can be operated in a continuous light powered mode. These capacitors show a photo-rechargeable specific capacitance of ∼11377 mF g-1, a photo-charging voltage response of ∼850 mV, and a cyclability with ∼90% capacitance retention over 1000 cycles.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article