[HTML][HTML] Numerical treatment for the desirability of Hall current and activation energy in the enhancement of heat transfer in a nanofluidic system
The growing attractiveness of Artificial Neural Networks (ANNs) derives from their
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks …
Recently, the applications of artificial intelligence through soft computing and machine
learning algorithms have become the focal point of researcher's consideration on account of …
learning algorithms have become the focal point of researcher's consideration on account of …
An evolutionary-based neural network approach to investigate heat and mass transportation by using non-Fourier double-diffusion theories for Prandtl nanofluid under …
Achieving precise predictions and classifications with artificial neural networks (ANNs) while
minimizing the consumption of computational resources and time continues to be a …
minimizing the consumption of computational resources and time continues to be a …
Blasius and Sakiadis flow of titania-copper-water based hybrid nanofluid flow: An artificial neural network modeling
RJ Punith Gowda… - Scientia …, 2023 - scientiairanica.sharif.edu
The addition of different nanoparticles in conventional fluid with proper quantity gives the
hybrid fluids which have higher thermo-physical properties. The geometry of the hybrid …
hybrid fluids which have higher thermo-physical properties. The geometry of the hybrid …
MHD Williamson nanofluid flow in the rheology of thermal radiation, Joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm
Various studies have been conducted on the topic of predicting the thermal conductivity of
nanofluids. Here, the thermal conductivity of nanofluids is determined using artificial neural …
nanofluids. Here, the thermal conductivity of nanofluids is determined using artificial neural …
[HTML][HTML] Homogeneous-heterogeneous reactions on Darcy-Forchheimer nanofluid flow system
The use of artificial neural networks (ANNs) to solve complex fluid dynamics problems has
revolutionized computational approaches. This article explores novel ANN solutions for fluid …
revolutionized computational approaches. This article explores novel ANN solutions for fluid …
Heat and mass transfer gravity driven fluid flow over a symmetrically-vertical plane through neural networks
This paper explores the numerical optimization of heat and mass transfer in the buoyancy-
driven Al2O3-water nanofluid flow containing electrified Al2O3-nanoparticles adjacent to a …
driven Al2O3-water nanofluid flow containing electrified Al2O3-nanoparticles adjacent to a …
Development of a new correlation and post processing of heat transfer coefficient and pressure drop of functionalized COOH MWCNT nanofluid by artificial neural …
MH Esfe, S Wongwises, S Esfandeh… - Current …, 2018 - ingentaconnect.com
Background: Because of nanofluids applications in improvement of heat transfer rate in
heating and cooling systems, many researchers have conducted various experiments to …
heating and cooling systems, many researchers have conducted various experiments to …
Modeling and simulation of Maxwell nanofluid flows in the presence of Lorentz and Darcy–Forchheimer forces: toward a new approach on Buongiorno's model using …
The current work explores the intelligent computational strength of neural networks based
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …
on the Levenberg–Marquardt backpropagation (LMBP-NNs) neural networks technique for …
Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations
In this study, stochastic numerical treatment is presented for boundary value problems
(BVPs) arising in nanofluidics for nonlinear Jeffery–Hamel flow (NJ-HF) equations using …
(BVPs) arising in nanofluidics for nonlinear Jeffery–Hamel flow (NJ-HF) equations using …