3 papers
math.NA2025
A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
Anna Ivagnes, Toby van Gastelen, Syver Døving Agdestein +3
We present a novel approach to define the filter and relax steps in the evolve-filter-relax (EFR) framework for simulating turbulent flows. The EFR main advantages are its ease of…
cs.LG2025
Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
Machine learning-based closure models for LES have shown promise in capturing complex turbulence dynamics but often suffer from instabilities and physical inconsistencies. In this…
math.NA2025
Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
Reduced-order models (ROMs) are often used to accelerate the simulation of large physical systems. However, traditional ROM techniques, such as those based on proper orthogonal dec…