Evidence map›Paper›PMID 42738047›Full record

ArticleMaterials (Basel, Switzerland)2026

Non-Linear Viscoelastic Modeling of PVA Gel Electrolytes for Structural Supercapacitors.

Rafael Schelkow, Davood Peyrow Hedayati, Livia Melina Doß, Robert Böhm

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Rafael SchelkowAdvanced Materials and Structures Lab (AMSL), Faculty of Engineering, Leipzig University of Applied Sciences (HTWK Leipzig), 04277 Leipzig, Germany.ORCID 0009-0004-3427-3709
Davood Peyrow HedayatiAdvanced Materials and Structures Lab (AMSL), Faculty of Engineering, Leipzig University of Applied Sciences (HTWK Leipzig), 04277 Leipzig, Germany.ORCID 0000-0002-9175-5403
Livia Melina DoßAdvanced Materials and Structures Lab (AMSL), Faculty of Engineering, Leipzig University of Applied Sciences (HTWK Leipzig), 04277 Leipzig, Germany.ORCID 0009-0009-0318-1875
Robert BöhmAdvanced Materials and Structures Lab (AMSL), Faculty of Engineering, Leipzig University of Applied Sciences (HTWK Leipzig), 04277 Leipzig, Germany.ORCID 0000-0001-7768-4592

Funding

Federal Ministry for Economic Affairs and Energy 20E2408C
6 · The paper itself

Abstract

Knowledge of the time-dependent behavior of polyvinyl alcohol (PVA) gel polymer electrolytes (GPEs) is essential for their application in structural supercapacitors (SSCs) at lower degrees of integration (DoI). Due to the soft, viscoelastic nature of GPEs, their mechanical response under compressive and transient loading is critical for maintaining necessary long-term electrode contact. To enable reliable structural design configurations, a tailored PVA GPE, prepared via a freeze-thaw method, was examined using compressive stress-relaxation testing. The mechanical response was modeled using a novel, non-linear viscoelastic constitutive framework, which couples a time-dependent elastic modulus for the non-linear loading phase with a Prony series for accurate relaxation prediction. The parameters for this practical framework were successfully derived from one single stress-relaxation experiment. Experimental results confirmed pronounced viscoelastic relaxation and up to 10% cyclic hardening. Implemented via finite-element method (FEM) analysis, the non-linear model achieved high accuracy (0.8% average relative deviation), significantly outperforming a linearized model (1.36% deviation). This validated framework is crucial for optimizing the mechanical stability of SSC assemblies and predicting the GPE's short-time response under transient loading events.

Indexed as

constitutive modelinggel polymer electrolyterelaxation teststructural supercapacitorviscoelasticity

Identifiers

PMID42738047
PMCPMC13567219

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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.