930 58 702
- Enhet:
- SINTEF Digital
- Avdeling:
- Mathematics and Cybernetics
- Kontorsted:
- Trondheim
Publikasjoner
- Multi-fidelity information fusion with concatenated neural networks
- Mixed Method for Isogeometric Analysis of Coupled Flow and Deformation in Poroelastic Media
- Deep neural network enabled corrective source term approach to hybrid analysis and modeling
- Model fusion with physics-guided machine learning: Projection-based reduced-order modeling
- Reduced order models for finite-volume simulations of turbulent flow around wind-turbine blades
- A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting
- Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins
- Høringssvar om havvind fra SINTEF og NTNU Kunnskapsbasert utvikling, kvalitative konkurranser og raskt tempo
- Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
- Physics guided machine learning using simplified theories