Evidence map›Paper›PMID 41061068›Full record

ArticleScience advances2025

Mechanically strengthened silicone-based origami structures via hierarchical interfacial shrink fitting.

Shuo Zhang, Haocheng Yong, Jinhao Zhang, Zhiping Chai, Xingxing Ke, Zisheng Zong, Han Ding, Zhuang Zhang, Kan Li, Zhigang Wu

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. 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

10 authors.

Shuo ZhangState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0002-0818-8955
Haocheng YongState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0009-0000-4282-4356
Jinhao ZhangNational Key Laboratory of Equipment State Sensing and Smart Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073 China.ORCID 0009-0008-5483-3581
Zhiping ChaiState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0001-9244-3308
Xingxing KeState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0002-0174-9764
Zisheng ZongState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.
Han DingState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0003-2905-6369
Zhuang ZhangInstitute of AI and Robotics, Fudan University, Shanghai, China.ORCID 0000-0002-3834-3477
Kan LiState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0003-4864-3446
Zhigang WuState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 China.ORCID 0000-0002-3719-406X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft structured materials-e.g., silicone-based elastomer, capable of programmable morphologies and mechanical strength-are promising for high-performance structure construction in metamaterials and soft robots. However, once prototyped, polydimethylsiloxane (PDMS)-based silicone elastomer is limited in mechanical strength and programmable spatial construction due to the flexible polymer matrix and mismatched interface with other materials. We propose a mechanically strengthened PDMS-based origami structure (MSOS) via polymethyl methacrylate (PMMA)/acetone solution swelling. The planar elastomer precursor can be swollen-folded into programmable spatial construction based on mechanically strengthened creases during solvent diffusion and de-gelatinization. This strengthened crease is induced by a hierarchical shrink-fitting based on solute molecular chain insertion and a seamless coupling interface between elastomer microstructures and solidified PMMA. We present a programmable MSOS to support a load more than 58,100 times of its own weight and a pillbug-inspired ringbot to resist heavy impact. Our work provides a strategy toward customized mechanically strengthened soft material for developing functional structural architectures and soft origami robots.

Identifiers

PMID41061068
PMCPMC12506967

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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.