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Laser patterning of transparent conductive metal nanowire coatings: simulation and experiment

Overview of attention for article published in Nanoscale, January 2014
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Article details
Title
Laser patterning of transparent conductive metal nanowire coatings: simulation and experiment
Published in
Nanoscale, January 2014
DOI 10.1039/c3nr05504c
Pubmed ID
Authors
Abstract

Transparent and electrically conductive metal nanowire networks are possible replacements for costly indium tin oxide (ITO) films in many optoelectronic devices. ITO films are regularly patterned using pulsed lasers so similar technologies could be used for nanowire coatings to define electrode structures. Here, the effects of laser irradiation on conducting silver nanowire coatings are simulated and then investigated experimentally for networks formed by spray deposition onto transparent substrates. The ablation threshold fluence is found experimentally for such nanowire networks and is then related to film thickness. An effective model using finite-element heat transfer analysis is examined to look at energy dissipation through these nanowire networks and used to understand mechanisms at play in the laser-material interactions. It is demonstrated that the three-dimensional nature of these coatings and the relative ratios of the rates of lateral to vertical heat diffusion are important controlling parameter affecting the ablation threshold.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 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 %
Korea, Republic of 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 10 18%
Student > Master 7 13%
Professor 6 11%
Student > Doctoral Student 3 5%
Other 7 13%
Unknown 9 16%
Readers by discipline
Readers by discipline Count As %
Materials Science 17 31%
Engineering 13 24%
Physics and Astronomy 9 16%
Chemistry 5 9%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 9 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 04 December 2013.
All research outputs
#20,702,072
of 23,302,246 outputs
Outputs from Nanoscale
#7,267
of 9,514 outputs
Outputs of similar age
#267,585
of 307,955 outputs
Outputs of similar age from Nanoscale
#410
of 453 outputs
Altmetric has tracked 23,302,246 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 9,514 research outputs from this source. They receive a mean Attention Score of 4.2. 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 307,955 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 453 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.