Nanostructurally fabrication of nickel oxide-interfaced carbon nanotubes for supercapacitors and exploration of electrochemical correlation via computer vision techniques and artificial intelligence
- Authors
- Ramesh, Sivalingam; Bathula, Chinna; Ahmed, Abu Talha Aqueel; Haldorai, Yuvaraj; VijayKakani; Karthikeyan, C.; Selvaraj, Manickam; Shin, Kyeongho; Lee, Young -Jun; Kim, Hyun-Seok; Kim, Joo-Hyung; Kim, Heung Soo
- Issue Date
- Mar-2024
- Publisher
- Elsevier Ltd
- Keywords
- Artificial intelligence (AI); Hydrothermal reaction; Nickel oxide and N-MWCNT composite; Porosity; Supercapacitor
- Citation
- Journal of Energy Storage, v.82, pp 1 - 12
- Pages
- 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of Energy Storage
- Volume
- 82
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/20850
- DOI
- 10.1016/j.est.2024.110429
- ISSN
- 2352-152X
2352-1538
- 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. © 2024
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- Appears in
Collections - College of Advanced Convergence Engineering > Division of System Semiconductor > 1. Journal Articles
- College of Life Science and Biotechnology > Department of Life Science > 1. Journal Articles
- College of Natural Science > Department of Physics > 1. Journal Articles
- College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 1. Journal Articles
- College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

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