Evidence map›Paper›PMID 42545659›Full record

ArticleDiscover nano2026

Predicting and analyzing the dielectric constant of polyvinyl alcohol reinforced with different nanofillers using machine learning modeling.

Behzad Vaferi, Mohsen Dehbashi, Ali Hosin Alibak

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover nano, 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

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

3 authors.

Behzad VaferiDepartment of Chemical Engineering, Sh.C., Islamic Azad University, Shiraz, Iran. behzad.vaferi@iau.ac.ir.
Mohsen DehbashiInstitute of Physics, Center for Science and Education, Silesian University of Technology, Konarskiego 22B, 44-100, Gliwice, Poland.
Ali Hosin AlibakPetroleum Engineering Department, Faculty of Engineering, Soran University, Soran, Kurdistan Region, 44008, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyvinyl alcohol (PVA) is a widely used polymer in many applications. The nanoparticles' incorporation into the polyvinyl alcohol structure can significantly modify the electrical characteristics by benefiting the properties of both polymer and nanofillers. Although the dielectric constant of PVA-based nanocomposites has been comprehensively measured, no general predictive model currently exists for its estimation. So, this study develops a robust, data-driven framework to predict the dielectric constant of PVA nanocomposites as a function of nanofiller type, filler concentration, temperature, and frequency. First, a comprehensive dataset of 1698 experimental measurements was gathered from the literature, covering nanofillers including CuO, TiO

Indexed as

Categorical boosting methodDielectric constantIntelligent modellingPVA-based nanocompositesRelevancy analysis

Identifiers

PMID42545659
PMCPMC13433664

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.