Vertically co-oriented two dimensional metal-organic frameworks for packaging enhanced supercapacitive performance View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Ting Deng, Wei Zhang, Oier Arcelus, Dong Wang, Xiaoyuan Shi, Xiaoyu Zhang, Javier Carrasco, Teófilo Rojo, Weitao Zheng

ABSTRACT

Metal–organic frameworks (MOFs) are promising materials for batteries and supercapacitors. However, random crystal orientations and low conductivity can result in poor performance. Designing a convenient method to address these issues is therefore an important challenge. Here we describe an efficient strategy to fabricate self-supported MOF wall-like architectures with uniform orientation on carbon nanowalls (CNWs) as seedbeds. In addition, we gain molecular-level insight into the interface between CNWs and MOF nanosheets using density functional theory calculations. Our results suggest that assembled ions anchor on edge carbon atoms to match the matrix of the edges of CNWs, while the remaining ions self-assemble with terminal –COOH groups on p-benzenedicarboxylic acid ligands to form the structure. Our findings demonstrate a feasible method to fabricate integrated MOF electrodes with ideal orientations and, therefore, may pave the way to unlock the inherent high performance of MOF materials towards a number of engineering applications. Metal-organic frameworks are candidates for future energy storage materials, but are limited by poor conductivity and random crystal orientation on current collectors. Here, fabrication of electrodes containing uniformly oriented crystals supported by carbon nanowalls leads to improved electrochemical performance. More... »

PAGES

6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s42004-017-0005-8

DOI

http://dx.doi.org/10.1038/s42004-017-0005-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101191596


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s42004-017-0005-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s42004-017-0005-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42004-017-0005-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42004-017-0005-8'


 

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