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Scaling Theory for the Frictionless Unjamming Transition

Overview of attention for article published in Physical Review Letters, March 2017
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Article details
Title
Scaling Theory for the Frictionless Unjamming Transition
Published in
Physical Review Letters, March 2017
DOI 10.1103/physrevlett.118.138001
Pubmed ID
Authors
Abstract

We develop a scaling theory of the unjamming transition of soft frictionless disks in two dimensions by defining local areas, which can be uniquely assigned to each contact. These serve to define local order parameters, whose distribution exhibits divergences as the unjamming transition is approached. We derive scaling forms for these divergences from a mean-field approach that treats the local areas as noninteracting entities, and demonstrate that these results agree remarkably well with numerical simulations. We find that the asymptotic behavior of the scaling functions arises from the geometrical structure of the packing while the overall scaling with the compression energy depends on the force law. We use the scaling forms of the distributions to determine the scaling of the total grain area A_{G} and the total number of contacts N_{C}.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Israel 1 3%
France 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 7 22%
Professor 6 19%
Professor > Associate Professor 3 9%
Other 2 6%
Other 3 9%
Unknown 2 6%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 20 63%
Materials Science 2 6%
Engineering 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Mathematics 1 3%
Other 1 3%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 April 2017.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Physical Review Letters
#23,943
of 36,300 outputs
Outputs of similar age
#174,858
of 310,183 outputs
Outputs of similar age from Physical Review Letters
#310
of 554 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 36,300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 31st percentile – i.e., 31% 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 310,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 554 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.