Evidence map›Paper›PMID 40934380›Full record

ArticleACS applied materials & interfaces2025

Thermally Driven Wrinkle Realignment for Morphology-Controlled Enhancement of Dry Adhesion Performance.

Yu-Fang Lai, Jui-Yuan Ho, Jun-Rong Chen, Yu-Fang Tsai, Han-Yu Hsueh

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 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

5 authors.

Yu-Fang LaiDepartment of Material Science and Engineering, National Chung Hsing University, Taichung 40227, Taiwan Republic of China.
Jui-Yuan HoDepartment of Material Science and Engineering, National Chung Hsing University, Taichung 40227, Taiwan Republic of China.
Jun-Rong ChenDepartment of Material Science and Engineering, National Chung Hsing University, Taichung 40227, Taiwan Republic of China.
Yu-Fang TsaiDepartment of Material Science and Engineering, National Chung Hsing University, Taichung 40227, Taiwan Republic of China.
Han-Yu HsuehDepartment of Material Science and Engineering, National Chung Hsing University, Taichung 40227, Taiwan Republic of China.ORCID 0000-0003-2850-7279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we developed a novel and scalable strategy for fabricating aligned wrinkle patterns through thermal expansion and contraction. Carbon nanotubes were incorporated into polydimethylsiloxane to enhance its (i.e., PDMS) heat transfer within the bilayer structure. This thermal activation enabled reversible wrinkle arrangement, allowing for the formation of highly ordered wrinkle morphologies through a purely physical process, without the need for vacuum conditions or complex precursor synthesis. The influences of geometric parameters (the sample aspect ratio and size) on wrinkle alignment were systematically investigated. We identified that the synergistic coexistence of flat regions and aligned wrinkle patterns enhances dry adhesion. The flat region increases the real contact area, whereas the wrinkled region provides mechanical interlocking and suppresses crack propagation. This study found that surface roughness, wrinkle morphology, and spatial wrinkle arrangement play critical roles in determining dry adhesion performance. In summary, this paper presents a facile, reversible, and industrially viable approach for generating functional surface patterns that can be employed in a wide range of emerging technologies.

Indexed as

dry adhesioninterfacial releaseorientationthermally drivenwrinkle

Identifiers

PMID40934380
PMCPMC12464901

What OpenQuestion holds

Textmetadata
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.