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Layer-dependent morphologies of silver on n-layer graphene

Overview of attention for article published in Discover Nano, November 2012
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Title
Layer-dependent morphologies of silver on n-layer graphene
Published in
Discover Nano, November 2012
DOI 10.1186/1556-276x-7-618
Pubmed ID
Authors

Cheng-wen Huang, Hsing-Ying Lin, Chen-Han Huang, Ren-Jye Shiue, Wei-Hua Wang, Chih-Yi Liu, Hsiang-Chen Chui

Abstract

The distributions of sizes of silver nanoparticles that were deposited on monolayer, bilayer, and trilayer graphene films were observed. Deposition was carried out by thermal evaporation and the graphene films, placed on SiO2/Si substrates, were obtained by the mechanical splitting of graphite. Before the deposition, optical microscopy and Raman spectroscopy were utilized to identify the number of the graphene layers. After the deposition, scanning electron microscopy was used to observe the morphologies of the particles. Systematic analysis revealed that the average sizes of the nanoparticles increased with the number of graphene layers. The density of nanoparticles decreased as the number of graphene layers increased, revealing a large variation in the surface diffusion strength of nanoparticles on the different substrates. The mechanisms of formation of these layer-dependent morphologies of silver on n-layer graphene are related to the surface free energy and surface diffusion of the n-layer graphene. The effect of the substrate such as SiO2/Si was investigated by fabricating suspended graphene, and the size and density were similar to those of supported graphene. Based on a comparison of the results, the different morphologies of the silver nanoparticles on different graphene layers were theorized to be caused only by the variation of the diffusion barriers with the number of layers of graphene.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Researcher 4 18%
Student > Master 4 18%
Professor 2 9%
Student > Bachelor 1 5%
Other 4 18%
Unknown 2 9%
Readers by discipline Count As %
Materials Science 10 45%
Physics and Astronomy 3 14%
Chemistry 2 9%
Energy 1 5%
Chemical Engineering 1 5%
Other 2 9%
Unknown 3 14%
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 09 November 2012.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#175,865
of 196,739 outputs
Outputs of similar age from Discover Nano
#14
of 91 outputs
Altmetric has tracked 25,373,627 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 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. 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 196,739 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 91 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.