Evidence map›Paper›PMID 35857528›Full record

ArticleScience advances2022

Programmed shape-morphing into complex target shapes using architected dielectric elastomer actuators.

Ehsan Hajiesmaili, Natalie M Larson, Jennifer A Lewis, David R Clarke

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Discrete 2D Material Programming for 3D Shaping and Morphogenesis-Inspired 4D Bioprinting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  6. Article
  7. Article
  8. Article
  9. Gel-Based Ionic Circuits.Chemical reviews · 2025
    Review
  10. Article
  11. Template-free 3D programmable magnetization of soft millirobots induced by interlayer stress.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. SonoTransformers: Transformable acoustically activated wireless microscale machines.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Ehsan HajiesmailiJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-6231-2937
Natalie M LarsonJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-2020-2326
Jennifer A LewisJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-0280-2774
David R ClarkeJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-5902-7369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dielectric elastomer actuators (DEAs) are among the fastest and most energy-efficient, shape-morphing materials. To date, their shapes have been controlled using patterned electrodes or stiffening elements. While their actuated shapes can be analyzed for prescribed configurations of electrodes or stiffening elements (the forward problem), the design of DEAs that morph into target shapes (the inverse problem) has not been fully addressed. Here, we report a simple analytical solution for the inverse design and fabrication of programmable shape-morphing DEAs. To realize the target shape, two mechanisms are combined to locally control the actuation magnitude and direction by patterning the number of local active layers and stiff rings of varying shapes, respectively. Our combined design and fabrication strategy enables the creation of complex DEA architectures that shape-morph into simple target shapes, for instance, those with zero, positive, and negative Gaussian curvatures as well as complex shapes, such as a face.

Identifiers

PMID35857528
PMCPMC9286497

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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.