Evidence map›Paper›PMID 41309742›Full record

ArticleScientific reports2025

Predicting of tunneling conductivity for polymer-carbon black nanocomposites by interphase percolation.

Mohammad Boomhendi, Mostafa Vatani, Yasser Zare

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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.

Mohammad BoomhendiDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, P.O. Box 87317-53153, Kashan, Iran.
Mostafa VataniDepartment of Chemical Engineering, Faculty of Engineering, University of Kashan, P.O. Box 87317-53153, Kashan, Iran. vatani@kashanu.ac.ir.
Yasser ZareBiomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran. y.zare@aut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earlier studies primarily focused on the experimental aspects of percolation onset and conductivity in polymer/carbon black (CB) nanocomposites, but the modeling approach was largely underexplored. In this study, a new equation is developed to determine the CB percolation threshold, taking into account the superficial properties of CB and polymer, as well as crucial terms such as CB radius (R) and interphase thickness (t). Also, a model is advised to simulate the conductivity of CB-filled examples by accounting for R, contact circle diameter, the number of contacts, and "t". Validation by laboratory data confirms the reliability of the proposed model. The results indicate that a smaller "R" and a higher volume portion of CB significantly enhance the conductivity, achieving 7.7 S/m at minimum R = 5 nm and the highest CB volume fraction of 0.036. A direct correlation is also found between the number of CB contacts (m) and composite conductivity, where the highest network volume portion of 0.88 and supreme m = 37 produce the supreme conductivity of 2.45 S/m.

Indexed as

Carbon black nanoparticleConductivityPercolation thresholdPolymer nanocompositesTunneling effect

Identifiers

PMID41309742
PMCPMC12660836

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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.