Evidence map›Paper›PMID 41807416›Full record

ArticleNature communications2026

Geometry-programmed self-wrinkling in organo-hydrogels for anisotropic mechanics and adaptive sensing.

Haobo Qi, Hang Yang, Tian Li, Min Li, Wei Zhou, Xinyu Dong, Lailai Zhu, Wei Zhai

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

8 authors.

Haobo Qi *Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0009-0000-4377-3589
Hang Yang *Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3853-2876
Tian LiDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Min LiDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Wei ZhouDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Xinyu DongDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Lailai ZhuDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore. lailai_zhu@nus.edu.sg.ORCID http://orcid.org/0000-0002-3443-0709
Wei ZhaiDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore. mpezwei@nus.edu.sg.ORCID http://orcid.org/0000-0003-2307-5243

Funding

Ministry of Education - Singapore (MOE) MOE-T2EP50224-0027National University of Singapore (NUS) NUSREC-HPC-0001
6 · The paper itself

Abstract

Gel-based soft materials are attractive for flexible electronics and biointerfaces but are often limited by insufficient mechanical robustness and constrained functional integration. Here, we introduce a geometry-programmed self-wrinkling strategy that enables the spontaneous formation of aligned wrinkle architectures during thermal-evaporative gelation of poly(vinyl alcohol)-based organo-hydrogels. Without external patterning or post-processing, this process produces materials with enhanced mechanical robustness and pronounced anisotropy in deformation, fracture, and ionic transport. By leveraging these intrinsic properties, we demonstrate multiple sensing and actuation functions, including directional strain sensing, multidirectional sliding detection, deformation-driven rolling sensors, and temperature-triggered alarms. These results highlight geometry-programmed self-wrinkling as a scalable route to integrate structural reinforcement and directional functionality into soft materials through a physically driven formation process.

Identifiers

PMID41807416
PMCPMC13106705

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.