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On the self-damping nature of densification in photonic sintering of nanoparticles

Overview of attention for article published in Scientific Reports, October 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
6 X users
patent
1 patent
googleplus
13 Google+ users

Citations

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40 Dimensions

Readers on

mendeley
54 Mendeley
Title
On the self-damping nature of densification in photonic sintering of nanoparticles
Published in
Scientific Reports, October 2015
DOI 10.1038/srep14845
Pubmed ID
Authors

William MacNeill, Chang-Ho Choi, Chih-Hung Chang, Rajiv Malhotra

Abstract

Sintering of nanoparticle inks over large area-substrates is a key enabler for scalable fabrication of patterned and continuous films, with multiple emerging applications. The high speed and ambient condition operation of photonic sintering has elicited significant interest for this purpose. In this work, we experimentally characterize the temperature evolution and densification in photonic sintering of silver nanoparticle inks, as a function of nanoparticle size. It is shown that smaller nanoparticles result in faster densification, with lower temperatures during sintering, as compared to larger nanoparticles. Further, high densification can be achieved even without nanoparticle melting. Electromagnetic Finite Element Analysis of photonic heating is coupled to an analytical sintering model, to examine the role of interparticle neck growth in photonic sintering. It is shown that photonic sintering is an inherently self-damping process, i.e., the progress of densification reduces the magnitude of subsequent photonic heating even before full density is reached. By accounting for this phenomenon, the developed coupled model better captures the experimentally observed sintering temperature and densification as compared to conventional photonic sintering models. Further, this model is used to uncover the reason behind the experimentally observed increase in densification with increasing weight ratio of smaller to larger nanoparticles.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Researcher 12 22%
Student > Master 7 13%
Student > Bachelor 4 7%
Professor 3 6%
Other 5 9%
Unknown 11 20%
Readers by discipline Count As %
Engineering 14 26%
Materials Science 14 26%
Physics and Astronomy 5 9%
Chemistry 3 6%
Energy 2 4%
Other 3 6%
Unknown 13 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 102. 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 15 April 2023.
All research outputs
#366,795
of 23,575,882 outputs
Outputs from Scientific Reports
#4,098
of 127,372 outputs
Outputs of similar age
#5,439
of 279,085 outputs
Outputs of similar age from Scientific Reports
#81
of 2,339 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 96% of its peers.
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 279,085 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 2,339 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.