Evidence map›Paper›PMID 42377660›Full record

ArticleDiscover nano2026

Investigation of thermal conductivity for nano-improved polyethylene glycol composites.

Tao Xu, Farag M A Altalbawy, Krunal Vaghela, K N Raja Praveen, Aditya Kashyap, Kshamta Chauhan, Barno Abdullaeva, DHima Bindu, Prabhat Kumar Sahu, Nargiza Kamolova and 2 more

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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

12 authors.

Tao XuKuala Lumpur University of Science and Technology (KLUST), Faculty of Engineering Science and Technology Jalan Ikram-Uniten, 43000, Kajang, Selangor Darul Ehsan, Malaysia. daqingxutao2134@163.com.
Farag M A AltalbawyDepartment of Chemistry, University College of Duba, University of Tabuk, Tabuk, Saudi Arabia.
Krunal VaghelaChemical Engineering Department, Indian Institute of Technology, Delhi, India.
K N Raja PraveenDepartment of Computer Science and Engineering, School of Engineering and Technology, JAIN (Deemed to Be University), Bangalore, Karnataka, India.
Aditya KashyapCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Kshamta ChauhanDepartment of CSE, Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, 140307, India.
Barno AbdullaevaDepartment of mathematics, National Pedagogical University of Uzbekistan, Tashkent, Uzbekistan.
DHima BinduDepartment of CSE, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, 531162, India.
Prabhat Kumar SahuDepartment of Computer Science and Information Technology, Siksha 'O' Anusandhan (Deemed to Be University), Bhubaneswar, Odisha, 751030, India.
Nargiza KamolovaCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Raed H C AlfilhDepartment of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq. raedalabedy@iunajaf.edu.iq.
Mehrdad MottaghiFaculty of Chemistry, Kabul University, Kabul, Afghanistan. mmottaghi41@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of thermal conductivity in (nano-PEG) composites is essential for accelerating thermal management material design. This study develops a hybrid Random Forest (RF) framework optimized using eight evolutionary algorithms, including (PSO), (GA), (WOA), (GWO), (CSA), (FPA), (FA), and (BA). A dataset of 229 experimental observations was used to model thermal conductivity as a function of temperature, PEG molecular weight, nanoparticle concentration, and nanoparticle form. Among evaluated models, the Bat Algorithm-optimized RF (RF-BA) achieved highest predictive efficiency with R

Indexed as

Evolutionary optimizationNano-PEG compositesRandom forestSensitivity analysisSHAP AnalysisStatistical error criteriaThermal conductivity

Identifiers

PMID42377660
PMCPMC13319861

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.