Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects

The research on HNFs is on peak and results revealed the efficient heat transfer properties of these liquids which are working as primary agents for industrial use. One of basic factor in improving the heat transfer of nanofluids is the mass flow rates, particle volume fractions and thermal conducti...

Full description

Bibliographic Details

Published in:	Results in Chemistry
Main Authors:	Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain
Format:	Article
Language:	English
Published:	Elsevier 2025-07-01
Subjects:	Ohmic heating Single neural model Nonlinear thermal radiation Artificial neural network (ANN) Heat generation/absorption Levenberg-Marquardt backpropagated scheme (BPLMS)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2211715625004515