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Vacancy diffusion and coalescence in graphene directed by defect strain fields

Overview of attention for article published in Nanoscale, January 2014
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Article details
Title
Vacancy diffusion and coalescence in graphene directed by defect strain fields
Published in
Nanoscale, January 2014
DOI 10.1039/c3nr06222h
Pubmed ID
Authors
Abstract

The formation of extended defects in graphene from the coalescence of individual mobile vacancies can significantly alter its mechanical, electrical and chemical properties. We present the results of ab initio simulations which demonstrate that the strain created by multi-vacancy complexes in graphene determine their overall growth morphology when formed from the coalescence of individual mobile lattice vacancies. Using density functional theory, we map out the potential energy surface for the motion of mono-vacancies in the vicinity of multi-vacancy defects. The inhomogeneous bond strain created by the multi-vacancy complexes strongly biases the activation energy barriers for single vacancy motion over a wide area. Kinetic Monte Carlo simulations based on rates from ab initio derived activation energies are performed to investigate the dynamical evolution of single vacancies in these strain fields. The resultant coalescence processes reveal that the dominant morphology of multi-vacancy complexes will consist of vacancy lines running in the two primary crystallographic directions, and that more thermodynamically stable structures, such as holes, are kinetically inaccessible from mono-vacancy aggregation alone.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 1%
Germany 1 1%
China 1 1%
Belgium 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 18 23%
Student > Bachelor 6 8%
Student > Master 5 6%
Professor > Associate Professor 4 5%
Other 10 13%
Unknown 15 19%
Readers by discipline
Readers by discipline Count As %
Materials Science 21 27%
Chemistry 16 20%
Physics and Astronomy 12 15%
Engineering 6 8%
Chemical Engineering 3 4%
Other 1 1%
Unknown 20 25%
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 10 February 2014.
All research outputs
#14,773,697
of 22,743,667 outputs
Outputs from Nanoscale
#4,322
of 9,198 outputs
Outputs of similar age
#183,049
of 305,223 outputs
Outputs of similar age from Nanoscale
#296
of 447 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,198 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 49th percentile – i.e., 49% 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 305,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 447 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.