ARTIFICIAL NEURAL NETWORK ANALYSIS OF JEFFREY HYBRID NANOFLUID WITH GYROTACTIC MICROORGANISMS FOR OPTIMIZING SOLAR THERMAL COLLECTOR EFFICIENCY

Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency

Abstract This article investigates solar energy storage due to the Jeffrey hybrid nanofluid flow containing gyrotactic microorganisms through a porous medium for parabolic trough solar collectors.The mechanism of thermophoresis and Brownian motion for the graphene and silver nanoparticles are also encountered in the suspension of water-based heat t

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