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Large Block Copolymer Self-Assembly for Fabrication of Subwavelength Nanostructures for Applications in Optics

Overview of attention for article published in Nano Letters, April 2017
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Title
Large Block Copolymer Self-Assembly for Fabrication of Subwavelength Nanostructures for Applications in Optics
Published in
Nano Letters, April 2017
DOI 10.1021/acs.nanolett.7b00226
Pubmed ID
Authors

Parvaneh Mokarian-Tabari, Ramsankar Senthamaraikannan, Colm Glynn, Timothy W. Collins, Cian Cummins, David Nugent, Colm O’Dwyer, Michael A. Morris

Abstract

Nanostructured surfaces are common in nature and exhibit properties such as antireflectivity (moth eyes), self-cleaning (lotus leaf), iridescent colors (butterfly wings) and water harvesting (desert beetles). We now understand such properties and can mimic some of these natural structures in the laboratory. However, these synthetic structures are limited since they are not easily mass produced over large areas due to the limited scalability of current technologies such as UV-lithography, the high cost of infrastructure and the inability to pattern non-planar surfaces. Here, we report a solution process based on block copolymer (BCP) self-assembly to fabricate sub-wavelength structures on large areas of optical and curved surfaces with feature sizes and spacings designed to efficiently scatter visible light. Si nanopillars (SiNPs) with diameters of ~115±19 nm, periodicity of 180 ± 18 nm and aspect ratio of 2-15 show a reduction in reflectivity by a factor of 100, < 0.16% between 400-900 nm at AOI 30°. Significantly, the reflectivity remains below 1.75% up to incident angles of 75°. Modelling the efficiency of a SiNP PV suggests a 24.6% increase in efficiency - representing a 3.52% (absolute) or 16.7% (relative) increase in electrical energy output from the PV system compared to the AR-coated device.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 34%
Researcher 13 14%
Student > Bachelor 11 12%
Student > Master 9 9%
Student > Doctoral Student 7 7%
Other 12 13%
Unknown 11 12%
Readers by discipline Count As %
Chemistry 25 26%
Materials Science 21 22%
Engineering 13 14%
Physics and Astronomy 8 8%
Chemical Engineering 4 4%
Other 7 7%
Unknown 17 18%
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 06 May 2017.
All research outputs
#15,253,817
of 24,286,850 outputs
Outputs from Nano Letters
#9,588
of 13,346 outputs
Outputs of similar age
#176,991
of 313,641 outputs
Outputs of similar age from Nano Letters
#128
of 173 outputs
Altmetric has tracked 24,286,850 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 27th percentile – i.e., 27% 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 313,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 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.