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Electromagnetically induced transparency of a plasmonic metamaterial light absorber based on multilayered metallic nanoparticle sheets

Overview of attention for article published in Scientific Reports, November 2016
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Title
Electromagnetically induced transparency of a plasmonic metamaterial light absorber based on multilayered metallic nanoparticle sheets
Published in
Scientific Reports, November 2016
DOI 10.1038/srep36165
Pubmed ID
Authors

Koichi Okamoto, Daisuke Tanaka, Ryo Degawa, Xinheng Li, Pangpang Wang, Sou Ryuzaki, Kaoru Tamada

Abstract

In this study, we observed the peak splitting of absorption spectra for two-dimensional sheets of silver nanoparticles due to the electromagnetically induced transparency (EIT) effect. This unique optical phenomenon was observed for the multilayered nanosheets up to 20 layers on a metal substrate, while this phenomenon was not observed on a transparent substrate. The wavelength and intensities of the split peaks depend on the number of layers, and the experimental results were well reproduced by the calculation of the Transfer-Matrix method by employing the effective medium approximation. The Ag nanosheets used in this study can act as a plasmonic metamaterial light absorber, which has a such large oscillator strength. This phenomenon is a fundamental optical property of a thin film on a metal substrate but has never been observed because native materials do not have a large oscillator strength. This new type of EIT effect using a plasmonic metamaterial light absorber presents the potential for the development of future optic and photonic technologies.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 7 12%
Student > Master 6 11%
Student > Bachelor 5 9%
Professor 4 7%
Other 10 18%
Unknown 15 26%
Readers by discipline Count As %
Engineering 13 23%
Chemistry 9 16%
Materials Science 7 12%
Physics and Astronomy 6 11%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 5 9%
Unknown 15 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 09 November 2016.
All research outputs
#15,392,529
of 22,899,952 outputs
Outputs from Scientific Reports
#78,079
of 123,730 outputs
Outputs of similar age
#197,221
of 312,900 outputs
Outputs of similar age from Scientific Reports
#2,377
of 3,601 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,730 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 29th percentile – i.e., 29% 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 312,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,601 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.