Evidence map›Paper›PMID 42886164›Full record

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

Thickness-Gradient Liquid Metal Connectors for Seamless Electrophysiological Sensors.

Jinyoung Kim, Jaejun Lee, Christopher E Tabor, Vladimir V Tsukruk

Abstract read
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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
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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

4 authors.

Jinyoung Kim *School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-9597-6863
Jaejun Lee *School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-9745-1048
Christopher E TaborAir Force Research Laboratory, Materials and Manufacturing Directorate, Wright-Patterson AFB, Dayton, Ohio, USA.
Vladimir V TsukrukSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0001-5489-0967

Funding

Air Force Office for Scientific ResearchAir Force Research Lab AwardNational Science Foundation Award
6 · The paper itself

Abstract

High-fidelity electrophysiological monitoring requires wearable bioelectronic devices with mechanical properties closely matched to human skin. However, current approaches focus primarily on electrode design and performance, while overlooking mechanical compliance and interfacial continuity with complex and dynamic human skin. Mechanical mismatches across electrodes, connectors, and interconnects often lead to interfacial noise, motion artifacts, and electrical instability. In order to overcome these critical issues, we introduce a thickness-gradient liquid metal (LM)/SEBS connector that enables seamless interfacial integration with skin, electrode, and interconnector interfaces through gradual mechanical compliance matching and manually activated metal network formation. The activated LM forms continuous and robust conductive networks, maintaining electrical stability under large tensile strain (∼1100%) and for repeatable deformation cycles. Skin-mimetic conformal integration suggested here suppresses interfacial void formation and stress concentration and thereby preserves stable electrical pathways under dynamic skin deformation. As a result, the proposed system delivers markedly improved signal amplitude and signal-to-noise ratio, along with substantially lower noise, relative to conventional connector platforms. By systematically aligning mechanical compliance across sensor components, this mechanically adaptive design preserves seamless electrical pathways and minimizes motion-induced artifacts under dynamic conditions, providing a robust platform for reliable electrophysiological monitoring in long-lasting wearable bioelectronics.

Indexed as

interfacial integrationliquid metal electrodeslow‐interfacial noise in wearable electronicsresilient electrophysiological monitoringthickness‐gradient interfaces

Identifiers

PMID42886164

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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.