Evidence map›Paper›PMID 30965833›Full record

ArticlePolymers2017

A New Insight in Determining the Percolation Threshold of Electrical Conductivity for Extrinsically Conducting Polymer Composites through Different Sigmoidal Models.

Mostafizur Rahaman, Ali Aldalbahi, Periyasami Govindasami, Noorunnisa P Khanam, Subhendu Bhandari, Peter Feng, Tariq Altalhi

Abstract read
In one paragraph

Article in Polymers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. High conductivity Sepia melanin ink films for environmentally benign printed electronics.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  17. Review
  18. 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

7 authors.

Mostafizur RahamanDepartment of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. mrahaman@ksu.edu.sa.
Ali AldalbahiDepartment of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. aaldalbahi@ksu.edu.sa.ORCID 0000-0003-1644-2367
Periyasami GovindasamiDepartment of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia. pkandhan@ksu.edu.sa.
Noorunnisa P KhanamDepartment of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar. noor.pathan@qu.edu.qa.
Subhendu BhandariDepartment of Plastics and Polymer Engineering, Maharashtra Institute of Technology, Aurangabad, Maharashtra 431010, India. subhenduonly@gmail.com.
Peter FengDepartment of Physics, University of Puerto Rico, San Juan, PR 00936-8377, USA. peter.feng@upr.edu.
Tariq AltalhiDepartment of Chemistry, Faculty of Science, Taif University, Taif 21974, Saudi Arabia. Ta.altalhi@tu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrical conductivity of extrinsically conducting polymer composite systems passes through a transition state known as percolation threshold. A discussion has been made on how different Sigmoidal models (S-models), such as Sigmoidal⁻Boltzmann (SB), Sigmoidal⁻Dose Response (SD), Sigmoidal⁻Hill (SH), Sigmoidal⁻Logistic (SL), and Sigmoidal⁻Logistic-1 (SL-1), can be applied to predict the percolation threshold of electrical conductivity for ethylene vinyl acetate copolymer (EVA) and acrylonitrile butadiene copolymer (NBR) conducting composite systems filled with different carbon fillers. An interesting finding that comes from these observations is that the percolation threshold for electrical conductivity determined by SB and SD models are similar, whereas, the other models give different result when estimated for a particular composite system. This similarity and discrepancy in the results of percolation threshold have been discussed by considering the strength, weakness, and limitation of the models. The percolation threshold value for the composites has also been determined using the classical percolation theory and compared with the sigmoidal models. Moreover, to check the universal applicability, these Sigmoidal models have also been tested on results from some published literature. Finally, it is revealed that, except SL-1 model, the remaining models can successfully be used to determine the percolation threshold of electrical conductivity for extrinsically conductive polymer composites.

Indexed as

electrical conductivitypercolation thresholdpolymer compositessigmoidal models

Identifiers

PMID30965833
PMCPMC6418723

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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.