920 11 677
- Enhet:
- SINTEF Digital
- Avdeling:
- Mathematics and Cybernetics
- Kontorsted:
- Trondheim
Publikasjoner
- Geometric Change Detection in Digital Twins
- 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
- A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold
- Machine learning with subsequent physics-based analytics for guiding transport planning
- A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
- Drone-based transport of biological material: Wind and turbulence prediction at OUS, Hospital for path planning.
- Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up
- GANs enabled super-resolution reconstruction of wind field
- Screening thermoelectric materials with ab initio atomistic modelling and machine learning techniques
- High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.