Physics-informed neural networks for rotating EMHD flow of Jeffrey hybrid nanofluid with arrhenius activation energy and mass convections

 

Physics-informed neural networks for rotating EMHD flow of Jeffrey hybrid nanofluid with arrhenius activation energy and mass convections




Here's the scientific visualization of the rotating EMHD flow of a Jeffrey hybrid nanofluid with embedded nanoparticles and electromagnetic field interactions, enhanced by physics-informed neural networks (PINNs).


Global Particle Physics Excellence Awards


#ComputationalFluidDynamics
#CFD #FluidMechanics
#Electromagnetohydrodynamics
#EMHD #Magnetohydrodynamics
#MHD #Nanofluids
#HybridNanofluids
#ThermalFluids
#HeatTransfer
#MathematicalModeling

Comments

Popular posts from this blog

Numerical investigation and optimization of vertical pneumatic separation of film-like particles in lithium iron phosphate battery recycling