Muhammad Bilal Ashraf

Intelligent neural network–based framework for Maxwell nanofluid flow with Soret–Dufour coupling and nonlinear thermal radiation

This study examined the optimization of the Levenberg–Marquardt backpropagation approach, which uses artificial neural networks, to calculate the interacting features of Soret and Dufour effects on convective Maxwell nanofluid flow through a porous surface with nonlinear thermal emission. The governing system of partia...