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Wetting layer evolution and its temperature dependence during self-assembly of InAs/GaAs quantum dots

Overview of attention for article published in Discover Nano, October 2012
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Title
Wetting layer evolution and its temperature dependence during self-assembly of InAs/GaAs quantum dots
Published in
Discover Nano, October 2012
DOI 10.1186/1556-276x-7-600
Pubmed ID
Authors

Hongyi Zhang, Yonghai Chen, Guanyu Zhou, Chenguang Tang, Zhanguo Wang

Abstract

For InAs/GaAs(001) quantum dot (QD) system, the wetting layer (WL) evolution and its temperature dependence were studied using reflectance difference spectroscopy and were analyzed with a rate equation model. WL thicknesses showed a monotonic increase at relatively low growth temperatures but showed an initial increase and then decrease at higher temperatures, which were unexpected from a thermodynamic understanding. By adopting a rate equation model, the temperature dependence of QD formation rate was assigned as the origin of different WL evolutions. A brief discussion on the indium desorption was given. Those results gave hints of the kinetic aspects of QD self-assembly.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 8 22%
Student > Doctoral Student 4 11%
Student > Postgraduate 3 8%
Professor > Associate Professor 3 8%
Other 5 14%
Unknown 5 14%
Readers by discipline Count As %
Physics and Astronomy 14 38%
Materials Science 9 24%
Engineering 7 19%
Chemistry 1 3%
Unknown 6 16%
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 30 October 2012.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#181,335
of 202,126 outputs
Outputs of similar age from Discover Nano
#11
of 85 outputs
Altmetric has tracked 25,371,288 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 202,126 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 85 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.