ArticleHeliyon2024
Numerical modeling of a MHD non-linear radiative Maxwell nano fluid with activation energy.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Simulation of oxytactic microbes in hybrid nanofluid with activation energy and LTNE effects using Bayesian regularization neural network technique.Discover nano · 2026Article
- Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network.Discover nano · 2026Article
- Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization.Heliyon · 2024Article
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Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present research explores linear as well as nonlinear radiation patterns based on the MHD non-Newtonian (Maxwell) nanofluid flow having Arrhenius activation energy. This study's core focus is MHD properties in non-Newtonian fluid dynamics and boundary layer phenomena analysis. It initiates with time-dependent equations, employing boundary layer approximations. Extensive numerical computations, executed with custom Compact Visual Fortran code and the EFD method, provide profound insights into non-Newtonian fluid behavior, revealing intricate force interactions and fluid patterns. To check the stability of the solution, a convergence and stability analysis is performed. With the values of Δ
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Registered trials
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