2 papers
physics.flu-dyn2021
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Matteo Zancanaro, Markus Mrosek, Giovanni Stabile +2
Geometrically parametrized Partial Differential Equations are nowadays widely used in many different fields as, for example, shape optimization processes or patient specific surger…
math.NA2019
Efficient Geometrical parametrization for Finite-Volume based Reduced Order Methods
Giovanni Stabile, Matteo Zancanaro, Gianluigi Rozza
In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order a…