Evidence map›Paper›PMID 32767434›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2020

3D Microstructures of Liquid Crystal Networks with Programmed Voxelated Director Fields.

Yubing Guo, Hamed Shahsavan, Metin Sitti

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2020. 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. Article
  2. Article
  3. Article
  4. Article
  5. Fabrication of LCE Microactuator Arrays Through Soft Lithography with Surface Alignment.Journal of microelectromechanical systems : a joint IEEE and ASME publication on microstructures, microactuators, microsensors, and microsystems · 2025
    Article
  6. In Situ Control of Reactive Mesogens Alignment During 3D Printing by Two-Photon Lithography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Review
  9. Shape programming of liquid crystal elastomers.Communications chemistry · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Physical intelligence as a new paradigm.Extreme Mechanics Letters · 2021
    Article
  17. 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

3 authors.

Yubing GuoPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
Hamed ShahsavanPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.ORCID https://orcid.org/0000-0001-8249-3854

Funding

Alexander von Humboldt FoundationEuropean Research Council 834531Max Planck SocietyNatural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

The shape-shifting behavior of liquid crystal networks (LCNs) and elastomers (LCEs) is a result of an interplay between their initial geometrical shape and their molecular alignment. For years, reliance on either one-step in situ or two-step film processing techniques has limited the shape-change transformations from 2D to 3D geometries. The combination of various fabrication techniques, alignment methods, and chemical formulations developed in recent years has introduced new opportunities to achieve 3D-to-3D shape-transformations in large scales, albeit the precise control of local molecular alignment in microscale 3D constructs remains a challenge. Here, the voxel-by-voxel encoding of nematic alignment in 3D microstructures of LCNs produced by two-photon polymerization using high-resolution topographical features is demonstrated. 3D LCN microstructures (suspended films, coils, and rings) with designable 2D and 3D director fields with a resolution of 5 µm are achieved. Different shape transformations of LCN microstructures with the same geometry but dissimilar molecular alignments upon actuation are elicited. This strategy offers higher freedom in the shape-change programming of 3D LCN microstructures and expands their applicability in emerging technologies, such as small-scale soft robots and devices and responsive surfaces.

Indexed as

liquid crystal networksmolecular alignmentshape-change programmingsoft roboticstwo-photon polymerization

Identifiers

PMID32767434
PMCPMC7610484

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.