Overview
A nine-layer neural network trained with Levenberg-Marquardt optimization to model hybrid nanofluid boundary layer flow and heat transfer, using about 32,400 physics-generated samples.
Research
Research
Role
Developer
Duration
2026
Date
2026
Type
Personal Project
A nine-layer neural network trained with Levenberg-Marquardt optimization to model hybrid nanofluid boundary layer flow and heat transfer, using about 32,400 physics-generated samples.
Reach out for source code walkthroughs or collaboration.