Cited 20 time in
Nanostructurally fabrication of nickel oxide-interfaced carbon nanotubes for supercapacitors and exploration of electrochemical correlation via computer vision techniques and artificial intelligence
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ramesh, Sivalingam | - |
| dc.contributor.author | Bathula, Chinna | - |
| dc.contributor.author | Ahmed, Abu Talha Aqueel | - |
| dc.contributor.author | Haldorai, Yuvaraj | - |
| dc.contributor.author | VijayKakani | - |
| dc.contributor.author | Karthikeyan, C. | - |
| dc.contributor.author | Selvaraj, Manickam | - |
| dc.contributor.author | Shin, Kyeongho | - |
| dc.contributor.author | Lee, Young -Jun | - |
| dc.contributor.author | Kim, Hyun-Seok | - |
| dc.contributor.author | Kim, Joo-Hyung | - |
| dc.contributor.author | Kim, Heung Soo | - |
| dc.date.accessioned | 2024-08-08T09:00:57Z | - |
| dc.date.available | 2024-08-08T09:00:57Z | - |
| dc.date.issued | 2024-03 | - |
| dc.identifier.issn | 2352-152X | - |
| dc.identifier.issn | 2352-1538 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/20850 | - |
| dc.description.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 | - |
| dc.format.extent | 12 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier Ltd | - |
| dc.title | Nanostructurally fabrication of nickel oxide-interfaced carbon nanotubes for supercapacitors and exploration of electrochemical correlation via computer vision techniques and artificial intelligence | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.est.2024.110429 | - |
| dc.identifier.scopusid | 2-s2.0-85182881828 | - |
| dc.identifier.wosid | 001169806700001 | - |
| dc.identifier.bibliographicCitation | Journal of Energy Storage, v.82, pp 1 - 12 | - |
| dc.citation.title | Journal of Energy Storage | - |
| dc.citation.volume | 82 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 12 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Energy & Fuels | - |
| dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
| dc.subject.keywordPlus | POROUS NICKEL | - |
| dc.subject.keywordPlus | NIO | - |
| dc.subject.keywordPlus | NANOCOMPOSITE | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordPlus | ELECTRODES | - |
| dc.subject.keywordPlus | FILMS | - |
| dc.subject.keywordAuthor | Artificial intelligence (AI) | - |
| dc.subject.keywordAuthor | Hydrothermal reaction | - |
| dc.subject.keywordAuthor | Nickel oxide and N-MWCNT composite | - |
| dc.subject.keywordAuthor | Porosity | - |
| dc.subject.keywordAuthor | Supercapacitor | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
