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Representative volume element to estimate buckling behavior of graphene/polymer nanocomposite

Overview of attention for article published in Discover Nano, September 2012
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Title
Representative volume element to estimate buckling behavior of graphene/polymer nanocomposite
Published in
Discover Nano, September 2012
DOI 10.1186/1556-276x-7-515
Pubmed ID
Authors

Avinash Parashar, Pierre Mertiny

Abstract

The aim of the research article is to develop a representative volume element using finite elements to study the buckling stability of graphene/polymer nanocomposites. Research work exploring the full potential of graphene as filler for nanocomposites is limited in part due to the complex processes associated with the mixing of graphene in polymer. To overcome some of these issues, a multiscale modeling technique has been proposed in this numerical work. Graphene was herein modeled in the atomistic scale, whereas the polymer deformation was analyzed as a continuum. Separate representative volume element models were developed for investigating buckling in neat polymer and graphene/polymer nanocomposites. Significant improvements in buckling strength were observed under applied compressive loading when compared with the buckling stability of neat polymer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 5%
Nigeria 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Researcher 6 14%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Professor 2 5%
Other 2 5%
Unknown 11 26%
Readers by discipline Count As %
Engineering 20 47%
Materials Science 8 19%
Chemistry 1 2%
Chemical Engineering 1 2%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 11 26%
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 20 September 2012.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#169,690
of 188,914 outputs
Outputs of similar age from Discover Nano
#13
of 71 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 188,914 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 71 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.