Evidence map›Paper›PMID 40346070›Full record

ArticleNature communications2025

Meter-scale heterostructure printing for high-toughness fiber electrodes in intelligent digital apparel.

Gun-Hee Lee, Yunheum Lee, Hyeonyeob Seo, Kyunghyun Jo, Jinwook Yeo, Semin Kim, Jae-Young Bae, Chul Kim, Carmel Majidi, Jiheong Kang and 3 more

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Review
  7. Performance comparison of conductive textile electrodes in ECG monitoring.Frontiers in bioengineering and biotechnology · 2026
    Article
  8. Review
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

13 authors.

Gun-Hee Lee *Medical Research Center, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-4949-3355
Yunheum Lee *Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-3748-3136
Hyeonyeob Seo *Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-8297-4743
Kyunghyun JoProgram of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-0652-1515
Jinwook YeoDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-4688-1611
Semin KimGraduate School of Semiconductor Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0009-0005-5955-2314
Jae-Young BaeDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-7049-5138
Chul KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-3882-6022
Carmel MajidiDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-6469-9645
Jiheong KangDepartment of Chemistry, Seoul National University, Seoul, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4446-5494
Seung-Kyun KangDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9779-8976
Seunghwa RyuDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0001-9516-5809
Seongjun ParkMedical Research Center, Seoul National University, Seoul, Republic of Korea. seongjunpark@snu.ac.kr.ORCID http://orcid.org/0000-0002-1981-9628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intelligent digital apparel, which integrates electronic functionalities into clothing, represents the future of healthcare and ubiquitous control in wearable devices. Realizing such apparel necessitates developing meter-scale conductive fibers with high toughness, conductivity, stable conductance under deformation, and mechanical durability. In this study, we present a heterostructure printing method capable of producing meter-scale (~50 m) biphasic conductive fibers that meet these criteria. Our approach involves encapsulating deformable liquid metal particles (LMPs) within a functionalized thermoplastic polyurethane matrix. This encapsulation induces in situ assembly of LMPs during fiber formation, creating a heterostructure that seamlessly integrates the matrix's durability with the LMPs' superior electrical performance. Unlike rigid conductive materials, deformable LMPs offer stretchability and toughness with a low gauge factor. Through precise twisting using an engineered annealing machine, multiple fiber strands are transformed into robust, electrically stable meter-scale electrodes. This advancement enhances their practicality in various intelligent digital apparel applications, such as stretchable displays, wearable healthcare systems, and digital controls.

Identifiers

PMID40346070
PMCPMC12064786

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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.