Solving the 2D Heat Equation using Physics-Informed Neural Networks (PINNs) In this notebook, we demonstrate how to solve the 2D time-dependent heat equation using a Physics-Informed Neural Networ...

Human Pose Estimation from Images By Karan Anand, PhD Motivation Human pose estimation is a fundamental task in computer vision, aiming to predict key joint positions (like head, shoulders, wr...

Balancing Chaos: A Physicist’s Dive into Reinforcement Learning with CartPole What do rocket nozzles, humanoid robots, and an inverted pendulum have in common? They all live on the edge of inst...

Predicting Bubble Rise Velocity in Liquids using ML and Basilisk The rise of a gas bubble in a liquid is a classic multiphase flow problem, rich in fluid mechanics and practical relevance — from b...

This notebook uses synthetic fluidized bed theory and trains machine learning models to predict pressure drop. 🧪 Objective To build fast surrogate models that predict pressure drop in a gas-sol...

Welcome to my digital notebook. This site is where I document my work, ideas, and occasionally, half-baked thoughts about the wonderful (and sometimes chaotic) world of multiphase flows and simula...