2 papers
math.NA2026
A Hyper-Reduced Neural Network-Augmented Semi-smooth Newton Method for Nonlinear Parametric Variational Inequalities
Sofiane Ezzehi, Virginie Ehrlacher, Guillaume Enchéry +1
We propose a model order reduction framework for nonlinear parametrized variational inequalities arising in computational mechanics. The high-dimensional model is written in mixed…
physics.flu-dyn2025
Neural Network for Subgrid Turbulence Modeling for Large Eddy Simulations
Eduardo Vital, Jean-Marc Gratien, Yassine Ayoun +2
When simulating multiscale systems, where some fields cannot be fully prescribed despite their effects on the simulation's accuracy, closure models are needed. This phenomenon is o…