Discovery of Anion Insertion Electrochemistry in Layered Hydroxide Nanomaterials View Full Text


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Article Info

DATE

2019-12

AUTHORS

Matthias J. Young, Tatyana Kiryutina, Nicholas M. Bedford, Taylor J. Woehl, Carlo U. Segre

ABSTRACT

Electrode materials which undergo anion insertion are a void in the materials innovation landscape and a missing link to energy efficient electrochemical desalination. In recent years layered hydroxides (LHs) have been studied for a range of electrochemical applications, but to date have not been considered as electrode materials for anion insertion electrochemistry. Here, we show reversible anion insertion in a LH for the first time using Co and Co-V layer hydroxides. By pairing in situ synchrotron and quartz crystal microbalance measurements with a computational unified electrochemical band-diagram description, we reveal a previously undescribed anion-insertion mechanism occurring in Co and Co-V LHs. This proof of concept study demonstrates reversible electrochemical anion insertion in LHs without significant material optimization. These results coupled with our foundational understanding of anion insertion electrochemistry establishes LHs as a materials platform for anion insertion electrochemistry with the potential for future application to electrochemical desalination. More... »

PAGES

2462

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-39052-1

DOI

http://dx.doi.org/10.1038/s41598-019-39052-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112286071

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30792465


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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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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/s41598-019-39052-1'

Turtle is a human-readable linked data format.

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39052-1'


 

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