Non-Intrusive Multi-Fidelity Reduced Order Modeling using Adaptive Sparse Grids: Analysis of Nuclear Reactors using Non-Intrusive Adaptive Multi-Fidelity Reduced Order Modeling Techniques

Computational power is a challenge when it comes to the high-fidelity modeling of nuclear reactors. Detailed simulations of reactor physics involve complex calculations that require significant computing resources, which can be time-consuming and expensive. Reduced Order Modeling (ROM) allows for an approximation of a complex model by only...

Reduced Order Modelling methodologies for proton therapy applications

In proton therapy, the calculation of the dose distribution is of great importance in order to find the best treatment plan. For a treatment plan with high quality, several error scenarios are investigated, in order to come up with a general plan that suits best in these scenarios. All of the scenarios have a different simulated error, e.g., in...