Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
Thermal analysis of 3D Darcy–Forchheimer flow of SWCNT–MWCNT/sodium alginate on Riga plate
The theme of this work is to investigate the heat transfer assessment of three-dimensional
flow of magnetized Casson hybrid nanofluid through a rotating permeable Riga plate using …
flow of magnetized Casson hybrid nanofluid through a rotating permeable Riga plate using …
[HTML][HTML] Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation
In this present investigative mode of study, a biological innovational approach is adopted in
the form of an intelligent computing paradigm to investigate the properties of flow in the case …
the form of an intelligent computing paradigm to investigate the properties of flow in the case …
Comparative study of computational frameworks for magnetite and carbon nanotube-based nanofluids in enclosure
Multi-wall carbon nanotubes (MWCNTs) characterize innovative nanoparticles that progress
the thermal characteristics of base fluids, compelling them appropriate for utilizing in …
the thermal characteristics of base fluids, compelling them appropriate for utilizing in …
Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface
In this study, a novel neuro heuristic approach is designed to investigate the flow properties
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …
Nonlinear thermal radiation and the slip effect on a 3D bioconvection flow of the Casson nanofluid in a rotating frame via a homotopy analysis mechanism
This theoretical work suggests a novel nonlinear thermal radiation and an applied magnetic
feature-based three-dimensional Casson nanomaterial flow. This flow is assumed in the …
feature-based three-dimensional Casson nanomaterial flow. This flow is assumed in the …
Leveraging machine learning in porous media
B Ebrahimpour - Journal of Materials Chemistry A, 2024 - researchportal.port.ac.uk
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
[HTML][HTML] Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic prandtl–eyring fluid flow with diffusive magnetic layers effect over …
In recent years, the integration of stochastic techniques, especially those based on artificial
neural networks, has emerged as a pivotal advancement in the field of computational fluid …
neural networks, has emerged as a pivotal advancement in the field of computational fluid …
MHD slip flow through nanofluids for thermal energy storage in solar collectors using radiation and conductivity effects: A novel design sequential quadratic …
In this research, a novel design stochastic numerical technique is presented to investigate
the unsteady form magnetohydrodynamic (MHD) slip flow along the boundary layer to …
the unsteady form magnetohydrodynamic (MHD) slip flow along the boundary layer to …
Novel design of nonlinear autoregressive with exogenous noise-based intelligent networks for dynamics of MHD Casson–Williamson models involving heat …
In the current arena, the role of artificial intelligence (AI) has gained immense impact in the
field of computational fluid dynamics (CFD) due to mesh improvement efficiency, optimal …
field of computational fluid dynamics (CFD) due to mesh improvement efficiency, optimal …