Evidence map›Paper›PMID 42227072›Full record

ArticleSmall methods2026

Simultaneous Embedding and Welding of Silver Nanowires Into the Surface of Polymer Networks for Mechanically Robust and Highly Conductive Three-Dimensional Flexible Transparent Electrodes.

Sangmok Kim, Youngjae Nam, Joonwon Kim

Abstract read
In one paragraph

Article in Small methods, 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

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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.

Sangmok KimDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Youngjae NamDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.
Joonwon KimDepartment of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, South Korea.ORCID https://orcid.org/0000-0001-6424-7000

Funding

National Research Foundation of Korea RS-2023-00275354
6 · The paper itself

Abstract

Three-dimensional (3D) flexible transparent electrodes (FTEs) with high conductivity and mechanical robustness are essential for high-performance wearable optoelectronic devices. Silver nanowires (AgNWs) are attractive candidates for the FTEs due to their high transparency, flexibility, and conductivity; however, poly(vinylpyrrolidone) (PVP) coatings on AgNWs and poor contact at wire junctions increase resistance. Additionally, electrodes fabricated using conventional AgNW deposition methods exhibit poor adhesion between the AgNW layer and polymer surface, resulting in delamination and degraded electrical performance under repeated stimuli. Herein, we propose a transfer method that simultaneously welds and embeds AgNWs into the surface of thermally stable thermoset polymer networks. Thermal annealing (200°C, 1 min) welds AgNW junctions while curing the prepolymer, forming mechanical interlocking that anchors AgNWs in the polymer surface. This enables residue-free transfer and fabrication of highly conductive, mechanically robust FTEs while maintaining optical transparency. The FTEs exhibited stable performance after 1000 bending cycles (radius of curvature = 3.5 mm) and 5000 pressure cycles at 70 kPa. Capacitive pressure sensors incorporating these FTEs demonstrated reliable performance, while enhanced conductivity enabled efficient Joule heating, reaching 42.9°C at 3.7 V, demonstrating suitability for wearable heaters. These confirm the proposed method as a reliable approach for high-performance 3D FTEs.

Indexed as

embedding welded silver nanowires (AgNWs)flexible transparent electrodes (FTEs)high conductivitymechanical flexibilitymechanical robustness

Identifiers

PMID42227072
PMCPMC13353875

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.