Nickel-oxide embedded laser-induced graphene for high-performance supercapacitors

  • Hani Porat
  • , Aneena Lal
  • , Asmita Dutta
  • , Manish Kumar Yadav
  • , Divya Catherin Sesu
  • , Refael Minnes
  • , Arie Borenstein

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This study explores the fabrication of nickel-oxide-embedded laser-induced graphene and its application in high-performance supercapacitors. Supercapacitors are critical for various applications due to their high power density and long cycle life. Nevertheless, they suffer from lower energy density compared to batteries. By embedding redox-active nickel oxide (NiO) nanoparticles into graphene electrodes, we enhance the energy density of these supercapacitors while maintaining high power. The NiO nanoparticles were synthesized at the nanoscale and embedded into graphene oxide (GO) using a one-step laser processing technique, resulting in a composite material with improved electrochemical properties. High specific capacitance for a discharge current density of 0.25 A g−1 is 1420 F g−1 in 6 M KOH. Moreover, by tracking the crystallographic X-ray diffraction (XRD) pattern of the composite electrodes upon electrochemical cycling, we identified the phase transition from NiO to Ni(OH)2. Our results verify the advantages of laser processing to incorporating highly-dispersed NiO nanoparticles into graphene films, which significantly enhances the electrochemical performance of supercapacitors, offering a promising approach for developing high-energy and high-power energy storage devices.

Original languageEnglish
Pages (from-to)2243-2251
Number of pages9
JournalNanoscale
Volume17
Issue number4
Early online date11 Dec 2024
DOIs
StatePublished - 23 Jan 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Royal Society of Chemistry 2025.

Fingerprint

Dive into the research topics of 'Nickel-oxide embedded laser-induced graphene for high-performance supercapacitors'. Together they form a unique fingerprint.

Cite this