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Design of inverse multiquadric radial basis neural networks for the dynamical analysis of MHD casson nanofluid flow along a nonlinear stretchable porous surface with multiple slip conditions

Zeeshan Ikram Butt, Iftikhar Ahmad, Hira Ilyas, Muhammad Shoaib, Muhammad Asif Zahoor Raja

2023International Journal of Hydrogen Energy19 citationsDOI

Topics & Concepts

NanofluidPrandtl numberNonlinear systemRadial basis functionMagnetohydrodynamicsMathematicsSlip (aerodynamics)Artificial neural networkMechanicsMaterials scienceApplied mathematicsPhysicsComputer scienceThermodynamicsMagnetic fieldArtificial intelligenceHeat transferQuantum mechanicsHeat Transfer MechanismsNanofluid Flow and Heat TransferFluid Dynamics and Turbulent Flows
Design of inverse multiquadric radial basis neural networks for the dynamical analysis of MHD casson nanofluid flow along a nonlinear stretchable porous surface with multiple slip conditions | Litcius