Porphyrin-Stabilized CNT in Nanofiber via Non-Covalent Interaction for Enhanced Electrochemical Performance
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Alan Christian | - |
dc.contributor.author | Kwon, Hyuk Jae | - |
dc.contributor.author | Jadhav, Harsharaj S. | - |
dc.contributor.author | Seo, Jeong Gil | - |
dc.date.accessioned | 2021-08-02T13:28:00Z | - |
dc.date.available | 2021-08-02T13:28:00Z | - |
dc.date.created | 2021-05-14 | - |
dc.date.issued | 2018-06 | - |
dc.identifier.issn | 0013-4686 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/16867 | - |
dc.description.abstract | Herein, a new fabrication method for CNT nanofiber composite (pPC-FP) through non-covalent interaction between porphyrin monomers with CNTs is reported. This led to the alleviated agglomeration of pristine CNT without acid pre-treatment, producing a highly porous material with high surface area of 444 m(2)/g and narrow pore size distribution for all pPC-FP nanofiber composites. Enhanced performances of pPC-FP3 and pPC-FP5 (CNT nanofiber with porphyrin monomers) were brought about by the enhanced CNT dispersion, hence, better porosity as compared to pPC. Moreover, through the incorporation of porphyrin monomer, M-NeC bond was simultaneously formed and served as a contributor to the excellent capacitive performance of the material, resulting in the highest capacitance of 150 A/cm(2) at 0.25 mAh/cm(2) with 77 A/cm(2) at 2.5 mAh/cm(2). The composites also exhibited stable performance even after cycling at different current densities (0.25-2.5 mAh/cm(2)) for 3000 cycles with almost 100% columbic efficiency. Through p-p stacking interaction, the agglomeration was prevented and CNT was aligned along the axis of the polymer which rendered the nanofibers highly porous resulting to a conductive composite material with excellent electrochemical performance. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Porphyrin-Stabilized CNT in Nanofiber via Non-Covalent Interaction for Enhanced Electrochemical Performance | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Seo, Jeong Gil | - |
dc.identifier.doi | 10.1016/j.electacta.2018.04.064 | - |
dc.identifier.scopusid | 2-s2.0-85045552939 | - |
dc.identifier.wosid | 000432158000014 | - |
dc.identifier.bibliographicCitation | ELECTROCHIMICA ACTA, v.274, pp.112 - 120 | - |
dc.relation.isPartOf | ELECTROCHIMICA ACTA | - |
dc.citation.title | ELECTROCHIMICA ACTA | - |
dc.citation.volume | 274 | - |
dc.citation.startPage | 112 | - |
dc.citation.endPage | 120 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Electrochemistry | - |
dc.relation.journalWebOfScienceCategory | Electrochemistry | - |
dc.subject.keywordPlus | WALLED CARBON NANOTUBES | - |
dc.subject.keywordPlus | REDUCTION | - |
dc.subject.keywordPlus | CATALYST | - |
dc.subject.keywordPlus | FUNCTIONALIZATION | - |
dc.subject.keywordPlus | AIR | - |
dc.subject.keywordPlus | ELECTROCATALYSTS | - |
dc.subject.keywordPlus | SELECTIVITY | - |
dc.subject.keywordPlus | FABRICATION | - |
dc.subject.keywordPlus | COMPOSITE | - |
dc.subject.keywordPlus | MEMBRANES | - |
dc.subject.keywordAuthor | Porphyrin | - |
dc.subject.keywordAuthor | Nanofiber | - |
dc.subject.keywordAuthor | Carbon nanotube | - |
dc.subject.keywordAuthor | Supercapacitor | - |
dc.subject.keywordAuthor | Non-covalent interaction | - |
dc.subject.keywordAuthor | Capacitance | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0013468618307953?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.