Evidence map›Paper›PMID 41224905›Full record

ArticleScientific reports2025

Analysis of tunneling conductivity for MXene polymer system by the network of interphase: parametric examinations and experimental validation.

Zahra Hadi, Jafar Khademzadeh Yeganeh, Yasser Zare, Muhammad Naqvi, Kyong Yop Rhee, Soo-Jin Park

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Zahra HadiDepartment of Polymer Engineering, Faculty of Engineering, Qom University of Technology, P.O. Box 37195-1519, Qom, Iran.
Jafar Khademzadeh YeganehDepartment of Polymer Engineering, Faculty of Engineering, Qom University of Technology, P.O. Box 37195-1519, Qom, Iran.
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.
Muhammad NaqviCollege of Engineering and Technology, American University of the Middle East, 54200, Egaila, Kuwait.
Kyong Yop RheeDepartment of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, Republic of Korea. rheeky@khu.ac.kr.
Soo-Jin ParkDepartment of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, Republic of Korea. sjpark@inha.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This investigation introduces a pioneering procedure to assess the effective conductivity of composites incorporating MXene nanosheets. The proposed model takes into account a variety of factors as the dimensions and volumetric fraction of MXene, the onset of percolation, tunneling characteristics, network fraction, the total resistance of the nanocomposite, and the interphase thickness. The forecasts generated by the proposed model are in strong accordance with the empirical conductivity measurements collected from a range of laboratory samples. Moreover, a comprehensive analysis has been carried out to explore how the predicted conductivity correlates with various parameters, thereby validating the efficiency of the suggested method. The electrical conductivity reaches 1.26 S/m, when the MXene nanoparticle has a minimum thickness of 1 nm at the maximum contact diameter of 20 nm. However, as the thickness of the MXene nanoparticle increases and the contact diameter diminishes, the nanocomposite conductivity reduces. Notably, when the MXene nanoparticle thickness exceeds 2 nm or the contact diameter falls below 8 nm, the conductivity sharply declines to zero, turning the nanocomposite into an insulator.

Indexed as

Contact resistanceEffective conductivityInterphaseMXenePercolation onsetPolymer nanocomposites

Identifiers

PMID41224905
PMCPMC12612062

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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.