Evidence map›Paper›PMID 40069249›Full record

ArticleScientific reports2025

Predictive framework to evaluate ternary nanocomposite over surface subjected to novel physical perspective.

S Bilal, Asadullah

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

S BilalDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, 31952, Al Khobar, Saudi Arabia. sbilal@pmu.edu.sa.
AsadullahDepartment of Mathematics, AIR University, Sector E-9, Islamabad, Pakistan.

Funding

Prince Mohammad Bin Fahd University RGP-1447/3
6 · The paper itself

Abstract

Fluids possessing advanced thermal capabilities are a requirement of today's world scientific technology and are an inherent vital part of diversified large-scale processes. As a result, the induction of nanometric-sized particles has been considered an emerging approach to achieve advanced liquids. Various combinations have been used to enhance the efficiency of nanofluids in thermal engineering systems. Recently, a suspension of three distinctively structured nanosized particles has been made in conventional liquid, termed as a ternary nanofluid. The current study primarily aims to optimize the design of a working system by inducing ternary nanoparticles composed of (GO), (Cu) and (Ag) in the flow of kerosene (base liquid) along elongated surface. The dimensionless version of the transport equations in the partial differential equations (PDEs) is regulated through pertinent similarity transformations into ordinary differential equations (ODEs). While providing a variable heat source, consideration is given to the radiation energy of secondary variations. The novel slip boundary constraint conceptualized by Thomas and Troian was assumed to be at the surface of the configuration. Computational simulations are executed by implementing shooting and Runge-Kutta (RK) procedures to obtain the results in a graphical and tabular manner. Subsequently, a machine-learning technique based on the Levenberg-Marquardt algorithm has been employed to predict the response of physical quantities to sundry parameters. The momentum profile was dominated by dispersing mono-nanoparticles compared to hybrid and ternary nanoparticles, whereas contrary aspects is attained for thermal distribution. The skin friction coefficient increased by up to 74% owing to the magnetic field factor. It is evident that the heat flux coefficient intensifies by up to 5% in the presence of quadratic thermal radiative energy compared to the linear radiative effect.

Indexed as

Artificial Neural Network (ANN) approachQuadratic thermal radiationTernary nanoliquidThomson and Troian slip conditionsVariable heat source

Identifiers

PMID40069249
PMCPMC11897410

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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.