What if blood's quirky behavior under force could be modeled precisely? Using Physics-Informed Neural Networks (PINNs), I decoded the viscoelastic and thixotropic properties of blood. It’s a blend of biology, physics, and neural networks—and it's as cool as it sounds! 

Bet you didn’t know that pressure drop in porous media doesn’t always obey Darcy’s law. For higher Reynolds number (or velocity if you don't know what Re is), pressure drop follows a quadratic relationship with velocity called Forchheimer law. Thats what I am trying to model over here.

Building a CFD solver from scratch? Challenge accepted! I crafted a Python-based tool to simulate fluid flow with precision. Think of it as a personalized toolkit for fluid mechanics, designed to tackle complex scenarios with elegance and efficiency. 

What makes an airfoil soar? Through computational simulations, I explored how turbulence and delayed flow separation influence lift and drag. This project captures the art of turning airflow into aerodynamic efficiency.