Evidence map›Paper›PMID 41296865›Full record

ArticleScience advances2025

Spatiotemporally programmed dielectric liquid crystal elastomer: Electro-reversible 3D morphing via inverse 4D printing.

Huiyao Zhao, Zike Chen, Jiahao Li, Yingwu Luo, Zhike Peng, Guoyong Mao, Rui Xiao, Jie Mao

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Prospects of Four-Dimensional Printing of Polymers for Biomedical Engineering.Polymer science & technology (Washington, D.C.) · 2026
    Article
  3. Article
  4. 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

8 authors.

Huiyao ZhaoSchool of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China.ORCID 0009-0007-9494-2566
Zike ChenState Key Laboratory of Fluid Power and Mechatronic Systems, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0008-8340-8349
Jiahao LiSchool of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China.ORCID 0009-0003-2889-0965
Yingwu LuoState Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-2487-5226
Zhike PengSchool of Mechanical Engineering, Ningxia University, Yinchuan 750021, China.ORCID 0000-0002-2095-7075
Guoyong MaoState Key Laboratory of Fluid Power and Mechatronic Systems, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-7570-6206
Rui XiaoState Key Laboratory of Fluid Power and Mechatronic Systems, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-4380-9542
Jie MaoSchool of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China.ORCID 0000-0002-6635-4886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable shape-morphing materials offer transformative potential in soft robotics and biomedical engineering, yet achieving reversible and precise control over complex 3D deformations remains a notable challenge due to the difficulty in spatially programming nonlinear mechanics. Here, we introduce a shear-assisted digital light-processing 4D printing strategy for spatiotemporal programming the mechanical anisotropy of dielectric liquid crystal elastomers (DLCEs). The printed DLCE actuators exhibit reversible multidimensional shape morphing (e.g., bending, twisting, and complex curved surfaces) under electric fields, governed by regional stiffness gradients. An inverse design algorithm is also developed to convert target 3D surfaces into executable printing tasks. Submillimeter-scale fidelity in reconstructing complex geometries, such as a panda face, a biomimetic plant and the Yellow River's landform, demonstrates capabilities applicable to soft robotics and adaptive systems.

Identifiers

PMID41296865
PMCPMC12652243

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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.