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Printing ferromagnetic domains for untethered fast-transforming soft materials

Overview of attention for article published in Nature, June 2018
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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 (80th percentile)

Mentioned by

news
23 news outlets
blogs
6 blogs
twitter
71 X users
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10 patents
facebook
10 Facebook pages
googleplus
5 Google+ users
video
3 YouTube creators

Citations

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1474 Dimensions

Readers on

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1145 Mendeley
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Title
Printing ferromagnetic domains for untethered fast-transforming soft materials
Published in
Nature, June 2018
DOI 10.1038/s41586-018-0185-0
Pubmed ID
Authors

Yoonho Kim, Hyunwoo Yuk, Ruike Zhao, Shawn A. Chester, Xuanhe Zhao

Abstract

Soft materials capable of transforming between three-dimensional (3D) shapes in response to stimuli such as light, heat, solvent, electric and magnetic fields have applications in diverse areas such as flexible electronics1,2, soft robotics3,4 and biomedicine5-7. In particular, magnetic fields offer a safe and effective manipulation method for biomedical applications, which typically require remote actuation in enclosed and confined spaces8-10. With advances in magnetic field control 11 , magnetically responsive soft materials have also evolved from embedding discrete magnets 12 or incorporating magnetic particles 13 into soft compounds to generating nonuniform magnetization profiles in polymeric sheets14,15. Here we report 3D printing of programmed ferromagnetic domains in soft materials that enable fast transformations between complex 3D shapes via magnetic actuation. Our approach is based on direct ink writing 16 of an elastomer composite containing ferromagnetic microparticles. By applying a magnetic field to the dispensing nozzle while printing 17 , we reorient particles along the applied field to impart patterned magnetic polarity to printed filaments. This method allows us to program ferromagnetic domains in complex 3D-printed soft materials, enabling a set of previously inaccessible modes of transformation, such as remotely controlled auxetic behaviours of mechanical metamaterials with negative Poisson's ratios. The actuation speed and power density of our printed soft materials with programmed ferromagnetic domains are orders of magnitude greater than existing 3D-printed active materials. We further demonstrate diverse functions derived from complex shape changes, including reconfigurable soft electronics, a mechanical metamaterial that can jump and a soft robot that crawls, rolls, catches fast-moving objects and transports a pharmaceutical dose.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 277 24%
Researcher 117 10%
Student > Master 117 10%
Student > Bachelor 84 7%
Student > Doctoral Student 45 4%
Other 129 11%
Unknown 376 33%
Readers by discipline Count As %
Engineering 359 31%
Materials Science 159 14%
Chemistry 52 5%
Physics and Astronomy 36 3%
Chemical Engineering 32 3%
Other 77 7%
Unknown 430 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 266. 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 March 2024.
All research outputs
#138,311
of 25,698,912 outputs
Outputs from Nature
#8,927
of 98,553 outputs
Outputs of similar age
#2,965
of 343,034 outputs
Outputs of similar age from Nature
#182
of 947 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,553 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done particularly well, scoring higher than 90% 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 343,034 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 947 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.