902 91 771
- Unit:
- SINTEF Digital
- Department:
- Mathematics and Cybernetics
- Office:
- Trondheim
Publications
- Multi-fidelity information fusion with concatenated neural networks
- Deep neural network enabled corrective source term approach to hybrid analysis and modeling
- Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
- Physics guided neural networks for modelling of non-linear dynamics
- Decentralized digital twins of complex dynamical systems
- Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
- Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
- Frame invariant neural network closures for Kraichnan turbulence
- Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters
- Model fusion with physics-guided machine learning: Projection-based reduced-order modeling