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Enhancing glass-forming ability via frustration of nano-clustering in alloys with a high solvent content

Overview of attention for article published in Scientific Reports, June 2013
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Mentioned by

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2 tweeters

Citations

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25 Dimensions

Readers on

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49 Mendeley
Title
Enhancing glass-forming ability via frustration of nano-clustering in alloys with a high solvent content
Published in
Scientific Reports, June 2013
DOI 10.1038/srep01983
Pubmed ID
Authors

H. X. Li, J. E. Gao, Y. Wu, Z. B. Jiao, D. Ma, A. D. Stoica, X. L. Wang, Y. Ren, M. K. Miller, Z. P. Lu

Abstract

The glass-forming ability (GFA) of alloys with a high-solvent content such as soft magnetic Fe-based and Al-based alloys is usually limited due to strong formation of the solvent-based solid solution phase. Herein, we report that the GFA of soft magnetic Fe-based alloys (with >70 at.% Fe to ensure large saturation magnetization) could be dramatically improved by doping with only 0.3 at.% Cu which has a positive enthalpy of mixing with Fe. It was found that an appropriate Cu addition could enhance the liquid phase stability and crystallization resistance by destabilizing the α-Fe nano-clusters due to the necessity to redistribute the Cu atoms. However, excessive Cu doping would stimulate nucleation of the α-Fe nano-clusters due to the repulsive nature between the Fe and Cu atoms, thus deteriorating the GFA. Our findings provide new insights into understanding of glass formation in general.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Colombia 1 2%
United States 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 39%
Researcher 6 12%
Professor > Associate Professor 5 10%
Professor 5 10%
Student > Master 4 8%
Other 8 16%
Unknown 2 4%
Readers by discipline Count As %
Materials Science 25 51%
Physics and Astronomy 13 27%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 6 12%

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 15 June 2013.
All research outputs
#9,986,643
of 12,476,446 outputs
Outputs from Scientific Reports
#40,777
of 57,109 outputs
Outputs of similar age
#102,355
of 147,627 outputs
Outputs of similar age from Scientific Reports
#88
of 118 outputs
Altmetric has tracked 12,476,446 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 57,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 17th percentile – i.e., 17% 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 147,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.