Publikasjoner
- Thermal performance estimation for cryogenic storage tanks: Application to liquid hydrogen
- Local area cooling versus broad area cooling for boil-off reduction in large-scale liquid hydrogen storage tanks Les publikasjonen
- Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions Les publikasjonen
- Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions Les publikasjonen
- Hybrid Dynamic Surrogate Modelling for a Once-Through Steam Generator Les publikasjonen
- Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach Les publikasjonen
- Deep neural network enabled corrective source term approach to hybrid analysis and modeling Les publikasjonen
Annen formidling
- Analysis of thermal stratification and global heat and mass balance in cryogenic storage tanks
- Digital Twin Project: Optimal Design and Operation of Compact Combined Cycles in Offshore Oil and Gas Installations
- Assessment of turbulence models for evaporation and stratification in cryogenic storage tanks
- Coupled Thermoelasticity and Non-Local Radiation Modelling for Cryogenic Storage Vessels
- Thermal Performance Estimation Techniques for Liquid Hydrogen Containment Systems
- Modelling heat ingress in LH2 containment systems – thermal resistance networks vs. the finite element method
- Modelling of Nonlinear Contact Resistance in a Finite Element Framework
- Surrogate Modelling for Digital Twin
- Deep Neural Network Enabled Corrective Source Term Approach for Predictive Digital Twins