Prosjekter
Kontaktperson, prosjekter
Ekspertise
Kontaktperson, ekspertise
Publikasjoner
- Multi-level data assimilation for ocean forecasting using the shallow-water equations Les publikasjonen
- Multifidelity Multilevel Monte Carlo Method for Rapid Uncertainty Quantification in CO2 Storage Applications
- Sensitivity analysis of parameters for carbon sequestration: Symbolic regression models based on open porous media reservoir simulators predictions
- CO2 Monitoring Design using Value-of-Information Analysis with Applications to the Sleipner Project
- Pseudo-Hamiltonian neural networks for learning partial differential equations Les publikasjonen
- A Reinforcement Learning framework for Wake Steering of Wind Turbines
- Efficient numerical simulation of vacuum swing adsorption using automatic differentiation
- Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm Les publikasjonen
- Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation Les publikasjonen
- Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks Les publikasjonen
Annen formidling
- Learning separable PDE models with pseudo-Hamiltonian neural networks
- Learning PDEs with pseudo-Hamiltonian neural networks
- Pseudo-Hamiltonian neural networks for learning PDEs
- Efficient in-situ machine learning workflows for simulation of subsurface CO2 storage in OPM Flow
- Rank Histogram Estimators for Multi-Level Data Assimilation
- A new simulation framework for modelling CO2 adsorption processes
- Pseudo-Hamiltonian neural networks
- Multi-level Data Assimilation: Statistical Background and Application to the Shallow-Water Model
- Efficient numerical simulation of vacuum swing adsorption using automatic differentiation
- Hva er algoritmer? Og styrer de livene våre?