Thermal radiations study for heat transfer applications using AI based algorithm known as Levenberg Marquardt Back Propagation Method (LMBPM) is an effective area. Hence, the current problem describes the effective performance of nanofluid through th...
This study presents the wavelet-based physics-informed neural networks (PINNs) simulation to analyse entropy generation in hybrid nanofluid peristaltic flow through a curved porous channel. The flow and heat transfer characteristics of a water-based ...
Convectional heat transfer continues to receive extensive research attention due to its importance in vital applications such as solar energy collectors and cooling of nuclear reactors. This research investigates natural convection and associated ent...
Plasmonic surface-enhanced Raman scattering (SERS) nanobiosensors employ nanoscale electromagnetic field amplification to achieve ultrasensitive, multiplex molecular detection. This review systematically outlines the fundamental plasmonic principles,...
The artificial neural network-optimized model for exploring local thermal non-equilibrium (LTNE) influences on gyrotactic microorganisms in a chemically reactive SWCNTs-MWCNTs/water-based hybrid nanofluid has a wide range of applications in advanced ...
In industries like chemical processing, energy systems, metallurgy, filtration, and electronics cooling, activation energy in magneto-nanofluid flow with variant viscosity is essential for regulating reaction rates, maximizing heat and mass transfer,...
The purpose of this investigation is to assess the outcome of Oxytactic microorganism in chemical reactive flow of TiO2 + GO/water based hybrid nanofluid flow across a sheet applying artificial intelligence. [Formula: see text] and [Formula: see text...
In this work, the intelligent Levenberg-Marquardt optimization approach is applied to evaluate the activation energy influence on thermo-bioconvection flow of a trihybrid nanofluid including oxytactic microbes via a plate using integrated numerical c...
This study uses the Levenberg-Marquardt strategy with feed forward neural networks (LMS-FNN) to inspect the Soret-Dufour effect on radiative hybrid nanofluid flow across a Riga plate with gyrotactic microorganisms. The suggested model, which investig...
This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorption and transfer in solar thermal colle...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.