Evidence map›Paper›PMID 42254529›Full record

ReviewPolymer science & technology (Washington, D.C.)2025

Shape Memory Elastomers: A Review of Molecular Structures, Stimulus Mechanisms, and Emerging Applications.

Yuan Yuan Yu, Hong Ping Xiang, Long Fei Fan, Ming Qiu Zhang

Abstract readReview
In one paragraph

Review in Polymer science & technology (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuan Yuan YuGuangdong Provincial Key Laboratory of Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, 510006 Guangzhou, Guangdong, China.
Hong Ping XiangGuangdong Provincial Key Laboratory of Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, 510006 Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-5446-8854
Long Fei FanCollege of Textile Science and Engineering, Wuyi University, 529020 Jiangmen, Guangdong, China.
Ming Qiu ZhangKey Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, GD HPPC Lab, School of Chemistry, Sun Yat-Sen University, 510275 Guangzhou, China.ORCID https://orcid.org/0000-0001-6521-5246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape memory elastomers, a class of smart polymers, can remember their initial shapes under external stimuli and have potential applications in many fields, including medical devices, artificial muscles, actuators, and soft robots. Therefore, this review aims to explore research progress on the molecular structures, stimuli-responsive mechanisms, and emerging applications of shape memory elastomers and their composites in recent years. First, the molecular structures, shape memory effects, and working mechanisms of shape memory elastomers are thoroughly discussed and explained based on different external stimuli, including heat, light, electricity, magnetic fields, and solvents. Subsequently, emerging applications of shape memory elastomers, such as artificial muscles, actuators, soft robots, smart electronics, and aerospace, are presented. Finally, future challenges and insights into shape memory elastomers are discussed. Shape memory elastomers have received extensive attention and show great application potential in many emerging fields.

Indexed as

shape memory effectshape memory elastomersmart polymerstimulus-response mechanism

Identifiers

PMID42254529
PMCPMC13052717

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.