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Controlling Core/Shell Formation of Nanocubic p‑Cu2O/n‑ZnO Toward Enhanced Photocatalytic Performance

Overview of attention for article published in Langmuir, June 2015
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Citations

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Title
Controlling Core/Shell Formation of Nanocubic p‑Cu2O/n‑ZnO Toward Enhanced Photocatalytic Performance
Published in
Langmuir, June 2015
DOI 10.1021/acs.langmuir.5b01019
Pubmed ID
Authors

Ahmad Esmaielzadeh Kandjani, Ylias Mohammad Sabri, Selvakannan R. Periasamy, Nafisa Zohora, Mohamad Hassan Amin, Ayman Nafady, Suresh Kumar Bhargava

Abstract

p-type Cu2O/n-type ZnO core/shell photo-catalysts has been demonstrated to be an efficient photocatalyst as a result of their interfacial structure tendency to reduce the recombination rate of photo-generated electron-hole pairs. Monodispersed Cu2O nanocubes were synthesized and functioned as the core, on which ZnO nanoparticles were coated as the shells having varying morphologies. The evenly distributed ZnO decoration as well as assembled nano-spheres of ZnO were carried out by changing the molar concentration ratio of Zn/Cu. The results indicate that the photocatalytic performance is initially increased owing to formation of small ZnO nanoparticles and production of efficient p-n junction hetero-structures. However, with increasing Zn concentration, the decorated ZnO nanoparticles tend to form large spherical assemblies resulting in decreased photocatalytic activity due to the inter-particle recombination between the agglomerated ZnO nanoparticles. Therefore, photocatalytic activity of Cu2O/ZnO hetero-structures can be optimized by controlling the assembly and morphology of the ZnO shell.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 10 16%
Student > Master 7 11%
Professor 3 5%
Lecturer > Senior Lecturer 2 3%
Other 8 13%
Unknown 20 32%
Readers by discipline Count As %
Chemistry 18 29%
Materials Science 12 19%
Engineering 3 5%
Chemical Engineering 2 3%
Unspecified 2 3%
Other 2 3%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 July 2015.
All research outputs
#20,290,425
of 22,826,360 outputs
Outputs from Langmuir
#12,605
of 13,954 outputs
Outputs of similar age
#219,170
of 262,866 outputs
Outputs of similar age from Langmuir
#101
of 117 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,954 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 262,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.