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Observation of number-density-dependent growth of plasmonic nanobubbles

Overview of attention for article published in Scientific Reports, June 2016
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Title
Observation of number-density-dependent growth of plasmonic nanobubbles
Published in
Scientific Reports, June 2016
DOI 10.1038/srep28667
Pubmed ID
Authors

Takashi Nakajima, Xiaolong Wang, Souvik Chatterjee, Tetsuo Sakka

Abstract

Interaction dynamics of laser pulses and nanoparticles are of great interest in recent years. In many cases, laser-nanoparticle interactions result in the formation of plasmonic nanobubbles, and the dynamics of nanoparticles and nanobubbles are inseparable. So far, very little attention has been paid to the number density. Here we report the first observation of number-density-dependent growth of plasmonic nanobubbles. Our results show that the nanobubbles growth depends (does not depend) on the number density at high (low) laser fluence, although the inter-particle distance in the solution is as long as 14-30 μm. This cannot be explained by the existing physical picture, and we propose a new model which takes into account the pressure waves arising from nanoparticles. The numerical results based on this model agree well with the experimental results. Our findings imply that the number density can be a new doorknob to control laser-nanobubble as well as laser-nanoparticle interactions.

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Mendeley readers

Mendeley readers

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

Country Count As %
Russia 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Professor 3 9%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Physics and Astronomy 7 22%
Engineering 7 22%
Materials Science 5 16%
Agricultural and Biological Sciences 2 6%
Energy 1 3%
Other 3 9%
Unknown 7 22%
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 04 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Scientific Reports
#105,634
of 123,609 outputs
Outputs of similar age
#304,963
of 352,012 outputs
Outputs of similar age from Scientific Reports
#3,121
of 3,731 outputs
Altmetric has tracked 22,880,230 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 123,609 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3,731 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.