IS036 - Scientific Machine Learning for the Numerical analysis of Large-Scale, Complex and Multiscale Dynamical Systems
Keywords: approximation methods, numerical approximation of Partial Differential Equations, PDE-based methods, Scientific machine learning
The minisymposium is focused on mathematical/numerical analysis foundations, and applications of scientific machine learning for large-scale, complex and multiscale systems.
Topics of interest include but not limited to:
- Numerical methods for large-scale systems
- Inverse and Forward problems for ODEs and PDEs,
- Numerical Bifurcation Analysis
- Neural Operators
- Reduced Order Models
- Explainable Machine Learning
- Deep Learning
- Manifold Learning algorithms
- Control
- Uncertainty Quantification