Evidence map›Paper›PMID 40619670›Full record

ArticleACS applied materials & interfaces2025

Piezo-ionic Materials and Structures for Complex Shear Field Monitoring.

Dong-Hee Kang, Jinyoung Kim, Sergio Gonzalez Munoz, Jisoo Jeon, Sehyun Park, Vladimir V Tsukruk

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. 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

6 authors.

Dong-Hee KangSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Jinyoung KimSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0001-9597-6863
Sergio Gonzalez MunozSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-6401-8918
Jisoo JeonSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0969-0293
Sehyun ParkSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Vladimir V TsukrukSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0001-5489-0967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capturing shearing stresses is crucial for accurately monitoring multidirectional mechanical deformation, enabling advanced motion analysis and enhancing functionality in wearable and robotic applications. Here, we present self-powered porous piezo-ionic shear-sensing materials that simultaneously resolve normal and tangential stresses with high sensitivity, a broad dynamic range, and high linearity. A composite of thermoplastic urethane and ionic liquids, reinforced with silica nanoparticles, was exploited to establish and sustain a porous framework. This configuration amplifies piezo-ionic responsiveness and broadens the response range. The materials design uses a stacked two-layered architecture with one reversed trapezoidal layer interlocked with a second macrodome layer. Such an arrangement of elastomeric structural elements converts macroscopic shearing deformation into localized directional compression while providing a four-electrode multidirectional signal readout. This hierarchical macro-to-nano structure achieves a sensitivity of 0.23 mV kPa

Indexed as

piezo-ionic force sensing matrixshear force sensorsshoe insole sensorssoft electronicswearable electronics

Identifiers

PMID40619670
PMCPMC12278252

What OpenQuestion holds

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Registered trials

None linked

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.