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The New Materials for Battery Electrode Prototypes.

Rikson SiburianFajar HutagalungOktavian SilitongaSuriati PaimanLisnawaty SimatupangCrystina SimanjuntakSri Pratiwi AritonangYatimah AliasLin JingRonn GoeiAlfred Iing Yoong Tok
Published in: Materials (Basel, Switzerland) (2023)
In this article, we present the performance of Copper (Cu)/Graphene Nano Sheets (GNS) and C-π (Graphite, GNS, and Nitrogen-doped Graphene Nano Sheets (N-GNS)) as a new battery electrode prototype. The objectives of this research are to develop a number of prototypes of the battery electrode, namely Cu/GNS//Electrolyte//C-π, and to evaluate their respective performances. The GNS, N-GNS, and primary battery electrode prototypes (Cu/GNS/Electrolyte/C-π) were synthesized by using a modified Hummers method; the N-doped sheet was obtained by doping nitrogen at room temperature and the impregnation or the composite techniques, respectively. Commercial primary battery electrodes were also used as a reference in this research. The Graphite, GNS, N-GNS, commercial primary batteries electrode, and battery electrode prototypes were analyzed using an XRD, SEM-EDX, and electrical multimeter, respectively. The research data show that the Cu particles are well deposited on the GNS and N-GNS (XRD and SEM-EDX data). The presence of the Cu metal and electrolytes (NH 4 Cl and MnO 2 ) materials can increase the electrical conductivities (335.6 S cm -1 ) and power density versus the energy density (4640.47 W kg -1 and 2557.55 Wh kg -1 ) of the Cu/GNS//Electrolyte//N-GNS compared to the commercial battery (electrical conductivity (902.2 S cm -1 ) and power density versus the energy density (76 W kg -1 and 43.95 W kg -1 ). Based on all of the research data, it may be concluded that Cu/GNS//Electrolyte//N-GNS can be used as a new battery electrode prototype with better performances and electrical activities.
Keyphrases
  • solid state
  • room temperature
  • carbon nanotubes
  • ionic liquid
  • metal organic framework
  • aqueous solution
  • big data
  • machine learning
  • gold nanoparticles
  • ion batteries