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Magnetic patterning: local manipulation of the intergranular exchange coupling via grain boundary engineering

Overview of attention for article published in Scientific Reports, July 2015
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Article details
Title
Magnetic patterning: local manipulation of the intergranular exchange coupling via grain boundary engineering
Published in
Scientific Reports, July 2015
DOI 10.1038/srep11904
Pubmed ID
Authors
Abstract

Magnetic patterning, with designed spatial profile of the desired magnetic properties, has been a rising challenge for developing magnetic devices at nanoscale. Most existing methods rely on locally modifying magnetic anisotropy energy or saturation magnetization, and thus post stringent constraints on the adaptability in diverse applications. We propose an alternative route for magnetic patterning: by manipulating the local intergranular exchange coupling to tune lateral magnetic properties. As demonstration, the grain boundary structure of Co/Pt multilayers is engineered by thermal treatment, where the stress state of the multilayers and thus the intergranular exchange coupling can be modified. With Ag passivation layers on top of the Co/Pt multilayers, we can hinder the stress relaxation and grain boundary modification. Combining the pre-patterned Ag passivation layer with thermal treatment, we can design spatial variations of the magnetic properties by tuning the intergranular exchange coupling, which diversifies the magnetic patterning process and extends its feasibility for varieties of new devices.

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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 23 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 %
United States 1 4%
Taiwan 1 4%
Russia 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 6 26%
Student > Doctoral Student 2 9%
Professor 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 2 9%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 9 39%
Materials Science 6 26%
Engineering 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 4 17%
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 12 July 2015.
All research outputs
#15,339,713
of 22,816,807 outputs
Outputs from Scientific Reports
#77,675
of 123,164 outputs
Outputs of similar age
#153,423
of 262,224 outputs
Outputs of similar age from Scientific Reports
#1,231
of 2,015 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,164 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 29th percentile – i.e., 29% 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 262,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,015 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.