AI/ML and Physics - Choosing What to Model in Physics-Informed Machine Learning
Steve Brunton via YouTube
Overview
Syllabus
Intro
Deciding on the Problem
Why do you need an ML Model?
Case Study: Super Resolution
Case Study: Discovering New Physics
Case Study: Materials Discovery
Case Study: Computational Chemistry
Case Study: Digital Twins & Discrepancy Models
Case Study: Shape Optimization
The Digital Twin
Modeling the Math
Modeling the Chaos
Case Study: Climate Modeling
Benchmark Systems
Case Study: Turbulence Closure Modeling
When not to use Machine Learning
Outro
Taught by
Steve Brunton