7 AI Surrogates
Warning🚧 Under Construction
This chapter is currently being developed.
7.0.1 DeepONet
NoteComing Soon
- Branch and trunk networks
- Operator learning framework
- Geophysical applications
7.1 Gaussian Processes
NoteComing Soon
- GP fundamentals
- Kernel selection
- Scalable GPs
7.2 Reduced-Order Models
NoteComing Soon
- Proper Orthogonal Decomposition (POD)
- Dynamic Mode Decomposition (DMD)
- Neural network-enhanced ROM
7.3 Uncertainty Quantification
NoteComing Soon
- Epistemic vs aleatoric uncertainty
- Ensemble methods
- Bayesian neural networks
7.4 Multi-Fidelity Modeling
NoteComing Soon
- Combining cheap and expensive models
- Transfer learning
- Active learning for surrogates