Evidence map›Paper›PMID 40050278›Full record

ArticleNature communications2025

Ultra tough and high resilience mechanochromic fibres for real world stress detection.

Yu Jin Jeong, Youngeun Lee, Taekyung Won, Ji Won Lee, Youngho Eom, Dae Seok Kim

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Advancing Energy Efficiency in Smart Windows via Dual-Responsive Electro-Thermochromism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
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

6 authors.

Yu Jin Jeong *Department of Polymer Engineering, Pukyong National University, Busan, Republic of Korea.ORCID http://orcid.org/0009-0004-9848-7554
Youngeun Lee *Department of Polymer Engineering, Pukyong National University, Busan, Republic of Korea.
Taekyung WonDepartment of Organic and Nano Engineering, Human-Tech Convergence Program, Hanyang University, Seoul, Republic of Korea.
Ji Won LeeDepartment of Polymer Engineering, Pukyong National University, Busan, Republic of Korea.
Youngho EomDepartment of Organic and Nano Engineering, Human-Tech Convergence Program, Hanyang University, Seoul, Republic of Korea. eomyh@hanyang.ac.kr.ORCID http://orcid.org/0000-0002-0922-1155
Dae Seok KimDepartment of Polymer Engineering, Pukyong National University, Busan, Republic of Korea. daeseok@pknu.ac.kr.ORCID http://orcid.org/0000-0002-7481-1434

Funding

National Research Foundation of Korea (NRF) RS-2024-00408845National Research Foundation of Korea (NRF) RS-2024-00411809
6 · The paper itself

Abstract

Cholesteric liquid crystal elastomer fibres gain considerable attention as promising candidates for mechanochromic smart textiles across various domains, ranging from fashion to healthcare. However, intrinsically high hysteresis of cholesteric liquid crystal elastomer during stress relaxation necessitates a time-lag between successive stimulus detections, thereby constraining the practical use in real-world systems. Here, we develop high-tough and low-hysteresis mechanochromic fibres capable of effectively detecting ultra-fast deformations at practical levels. By utilizing a thermoplastic elastomer as a core fibre and cholesteric liquid crystal elastomer as a sheath, we develop sheath-core composite fibres. The cholesteric liquid crystal elastomer sheath-core fibres preserve remarkable optical properties of cholesteric liquid crystal elastomer sheath while improving mechanical properties, including high strength (100.9 MPa), toughness (2.7 × 10

Identifiers

PMID40050278
PMCPMC11885560

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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.