Intelligent computing technique to analyze the two-phase flow of dusty trihybrid nanofluid with Cattaneo-Christov heat flux model using Levenberg-Marquardt Neural-Networks

This study examines the characteristics of activation energy on the two-phase flow of a tri-hybrid nanofluid with variable thermal conductivity, viscous dissipation, and NHCMBM using a stochastic-based Levenberg-Marquardt backpropagated neural network (LMB-NN).The Darcy Forchheimer porous media characteristics is included in the momentum equation.T

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Monte Carlo Simulation of Aromatic Molecule Adsorption on Multi-Walled Carbon Nanotube Surfaces Using Coefficient of Conformism of a Correlative Prediction (CCCP)

Using the Monte Carlo technique via CORAL-2024 software, models of aromatic substance adsorption on multi-walled nanotubes were constructed.Possible mechanistic interpretations of such models and the corresponding applicability domains were investigated.In constructing the models, criteria of the predictive potential such as the iIndex of Ideality

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