ML-Fluid Mechanics Integration for Thermal Flow Predication

In this course, you'll explore how to integrate machine learning techniques with computational fluid dynamics to enhance thermal flow predictions and optimize engineering designs. You'll start with the basics of fluid mechanics, gradually moving into machine learning models that apply to physical systems, synthetic data generation, and the use of physics-informed neural networks. The course also emphasizes real-time integration of these hybrid methods into workflows, comparing them to classical CFD approaches in terms of accuracy and efficiency.