Evidence map›Paper›PMID 42801637›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Bio-Inspired Internal Stress Engineering for Microscale Surface Cracking in Sensitive Strain Sensors.

Jae Yeong Jang, Hanchul Cho, Young Jung

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

3 authors.

Jae Yeong JangMajor of Mechanical Engineering, Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0009-0000-4448-6119
Hanchul ChoPrecision Mechanical Process and Control R&D Group, Korea Institute of Industrial Technology, Busan, Republic of Korea.
Young JungMajor of Mechanical Engineering, Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0000-0001-8114-5153

Funding

Ministry of Education and Busan Metropolitan City 2026-Anchor-02-001-014National Research Foundation of Korea RS-2024-00349451
6 · The paper itself

Abstract

The fabrication of microscale cracks on flexible substrates is a crucial step for potential applications such as human-machine interfaces, biosignal analysis, and structural health monitoring. However, existing crack fabrication methods predominantly rely on externally applied mechanical stimuli such as stretching or bending, which limits the freedom with which cracks can form in terms of their location, density, and geometry. In this study, we introduce a bio-inspired internal stress engineering strategy that enables tunable microscale cracks to be driven by internal stress induced through microsphere expansion. Microscale cracks can be reproducibly formed by exploiting the localized stress concentration and thickness-dependent mechanical property transition of an ultrathin metal film. The crack-based strain sensor exhibits an ultrahigh sensitivity of 24 320 at a strain of 1.6%. The proposed strategy demonstrates excellent sensing performance under both static and dynamic loading conditions, including high repeatability and frequency stability, demonstrating its considerable potential for practical sensing applications. Further, we demonstrate its applicability in wearable sensors for real-time physiological monitoring and structural health monitoring of aircraft structures to verify its versatility across diverse industrial fields.

Indexed as

bio‐inspired internal stresshigh sensitivitymicroscale cracksstrain sensorthermally expandable microspheres

Identifiers

PMID42801637
PMCPMC13616271

What OpenQuestion holds

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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.