Nature

Machine learning-based prediction of heat transfer performance in annular fins with functionally graded materials

This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to ...
Nature

A deep neural network model for heat transfer in darcy–forchheimer hybrid nanofluid flow with activation energy

The growing need for industrial systems to move heat and mass quickly, like porous catalytic beds, lubrication channels, and electromagnetic cooling devices, has made the need for high-performance ...