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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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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 60 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 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 33%
Researcher 8 13%
Student > Master 7 12%
Professor > Associate Professor 5 8%
Professor 5 8%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Materials Science 28 47%
Physics and Astronomy 13 22%
Engineering 4 7%
Social Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 3%
Unknown 11 18%
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 15 June 2013.
All research outputs
#18,340,012
of 22,711,645 outputs
Outputs from Scientific Reports
#92,522
of 122,392 outputs
Outputs of similar age
#147,939
of 196,875 outputs
Outputs of similar age from Scientific Reports
#370
of 491 outputs
Altmetric has tracked 22,711,645 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 122,392 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 14th percentile – i.e., 14% 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 196,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 491 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.