Nanostructurally fabrication of nickel oxide-interfaced carbon nanotubes for supercapacitors and exploration of electrochemical correlation via computer vision techniques and artificial intelligence

Sivalingam Ramesh, Chinna Bathula, Abu Talha Aqueel Ahmed, Yuvaraj Haldorai, VijayKakani, C. Karthikeyan, Manickam Selvaraj, Kyeongho Shin, Young Jun Lee, Hyun Seok Kim, Joo Hyung Kim, Heung Soo Kim

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Carbon-based nanoparticles continue to draw greater attention due to their unique physicochemical properties that make them suitable for use in sensors, supercapacitors, and batteries. Nickel oxide/carbon nanotube composites (NiO/NMWCNT) were prepared via hydrothermal reaction for supercapacitor materials. Nickel oxide formed a monoclinic phase, according to an XRD analysis. The elemental makeup and morphological characteristics of these manufactured electrode materials were then investigated using HR-TEM analysis. The constructed composite electrode was then examined using CV analysis for use in supercapacitors with 1 M KOH electrolyte. The outcomes demonstrate enhanced electrochemical capacitance (633 F/g at 10 A/g) and electrode stability, with 86 % maintenance up to 5000 cycles. Furthermore, the HR-TEM image specimen of the composite was analyzed using pixel-based computer vision and AI algorithms to quantify the porosity of the composite and investigate the possible enhancement in electrochemical correlation.

Original languageEnglish
Article number110429
JournalJournal of Energy Storage
Volume82
DOIs
StatePublished - 30 Mar 2024

Keywords

  • Artificial intelligence (AI)
  • Hydrothermal reaction
  • Nickel oxide and N-MWCNT composite
  • Porosity
  • Supercapacitor

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