Response surface methodology optimization of dynamical solutions of Lie group analysis for nonlinear radiated magnetized unsteady wedge: Machine learning approach (gradient descent)

Thermal performance of Fe3O4, SWCNT, MWCNT and H2O based on magnetohydrodynamic nanofluid flow across a wedge with significant impacts of Soret and Dufour

“…The impact of the heat generation/absorption coefficient has been examined in several studies: Zeeshan et al 31 investigated the function of chemically magnetized nano liquid flow for the transition of energy across a permeable stretchable pipe with thermal generation and absorption and durability. Kumar et al 32 studied the machine learning strategy used to investigate the response surface methodology optimization of Lie group evaluation fluid solutions for an irregular radiated magnetized unstable wedge. Ramesh and Madhukesh et al 33 examined the hybrid carbon nanofluid activation energy mechanism and used heat sources and sinks to create magnetic slip movement.…”