57 citations · 618 across the 33 of their papers we have counts for
4 papers · 1 filter
Generative Adversarial Reduced Order Modelling
Dario Coscia, Nicola Demo, Gianluigi Rozza
In this work, we present GAROM, a new approach for reduced order modelling (ROM) based on generative adversarial networks (GANs). GANs have the potential to learn data distribution…
A Shape Optimization Pipeline for Marine Propellers by means of Reduced Order Modeling Techniques
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
In this paper, we propose a shape optimization pipeline for propeller blades, applied to naval applications. The geometrical features of a blade are exploited to parametrize it, al…
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration
Martina Teruzzi, Nicola Demo, Gianluigi Rozza
Fault detection has a long tradition: the necessity to provide the most accurate diagnosis possible for a process plant criticality is somehow intrinsic in its functioning. Continu…
A DeepONet multi-fidelity approach for residual learning in reduced order modeling
Nicola Demo, Marco Tezzele, Gianluigi Rozza
In the present work, we introduce a novel approach to enhance the precision of reduced order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models provide…