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An evolutionary-based neural network approach to investigate heat and mass transportation by using non-Fourier double-diffusion theories for Prandtl nanofluid under Hall and ion slip effects

EngineeringIon Slip EffectsPrandtl NanofluidNumerical SimulationNanoscale ModelingTransport PhenomenaThermodynamicsPhysicsMass TransportationThermal TransportNanofluidicsHeat TransferMultiphase FlowEvolving Neural NetworkDiffusion ResistanceNatural SciencesApplied PhysicsThermal EngineeringMultiscale Modeling