Evidence map›Paper›PMID 36151092›Full record

ArticleNature communications2022

Soft shape-programmable surfaces by fast electromagnetic actuation of liquid metal networks.

Xinchen Ni, Haiwen Luan, Jin-Tae Kim, Sam I Rogge, Yun Bai, Jean Won Kwak, Shangliangzi Liu, Da Som Yang, Shuo Li, Shupeng Li and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Liquid Metals for Reconfigurable Bioelectronics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Article
  4. Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Field-programmable robotic folding sheet.Nature communications · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. SonoTransformers: Transformable acoustically activated wireless microscale machines.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Xinchen Ni *Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0002-3327-3764
Haiwen Luan *Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Jin-Tae Kim *Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0001-9933-1931
Sam I RoggeQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Yun BaiQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Jean Won KwakQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0001-7883-9242
Shangliangzi LiuQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Da Som YangQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Shuo LiQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Shupeng LiDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
Zhengwei LiQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Yamin ZhangQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Changsheng WuQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Xiaoyue NiQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA. xiaoyue.ni@duke.edu.ORCID http://orcid.org/0000-0002-1822-1122
Yonggang HuangQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA. y-huang@northwestern.edu.ORCID http://orcid.org/0000-0002-0483-8359
Heling WangDepartment of Materials Science and Engineering, Northwestern University, Evanston, IL, USA. helingwang1@gmail.com.ORCID http://orcid.org/0000-0001-7859-5153
John A RogersQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA. jrogers@northwestern.edu.ORCID http://orcid.org/0000-0002-2980-3961

Funding

United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-17-1-0351
6 · The paper itself

Abstract

Low modulus materials that can shape-morph into different three-dimensional (3D) configurations in response to external stimuli have wide-ranging applications in flexible/stretchable electronics, surgical instruments, soft machines and soft robotics. This paper reports a shape-programmable system that exploits liquid metal microfluidic networks embedded in an elastomer matrix, with electromagnetic forms of actuation, to achieve a unique set of properties. Specifically, this materials structure is capable of fast, continuous morphing into a diverse set of continuous, complex 3D surfaces starting from a two-dimensional (2D) planar configuration, with fully reversible operation. Computational, multi-physics modeling methods and advanced 3D imaging techniques enable rapid, real-time transformations between target shapes. The liquid-solid phase transition of the liquid metal allows for shape fixation and reprogramming on demand. An unusual vibration insensitive, dynamic 3D display screen serves as an application example of this type of morphable surface.

Identifiers

PMID36151092
PMCPMC9508113

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.