Topics
The second workshop will concern the development of new hybrid approaches, that combine tightly machine learning techniques with numerical simulations to model complex systems, including the following (non-exhaustive) list of topics:
- Physics-informed machine learning
- Simulations accuracy improvement using machine learning
- Preconditioning solvers with machine learning
- Neural Galerkin methods
- Operator learning
- Data-based models for simulators