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Classroom Contents
AI/ML and Physics - Choosing What to Model in Physics-Informed Machine Learning
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- 1 Intro
- 2 Deciding on the Problem
- 3 Why do you need an ML Model?
- 4 Case Study: Super Resolution
- 5 Case Study: Discovering New Physics
- 6 Case Study: Materials Discovery
- 7 Case Study: Computational Chemistry
- 8 Case Study: Digital Twins & Discrepancy Models
- 9 Case Study: Shape Optimization
- 10 The Digital Twin
- 11 Modeling the Math
- 12 Modeling the Chaos
- 13 Case Study: Climate Modeling
- 14 Benchmark Systems
- 15 Case Study: Turbulence Closure Modeling
- 16 When not to use Machine Learning
- 17 Outro
