activity
20172026
most citedFinite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations

221 citations · 1.1k across the 59 of their papers we have counts for

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Showing 2023 · math.NAShow all

10 papers · 2 filters

math.NA2023

Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System

Rahul Halder, Giovanni Stabile, Gianluigi Rozza

This work addresses the development of a physics-informed neural network (PINN) with a loss term derived from a discretized time-dependent reduced-order system. In this work, first…

math.NA2023★ 2 cited

Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades

Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei +4

The proper orthogonal decomposition has been applied on a full-scale horizontal-axis wind turbine to shed light on the wake characteristics behind the wind turbine. In reality, the…

math.NA2023★ 8 cited

Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets

Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza

This research study explores the applicability of Deep Reinforcement Learning (DRL) for thermal control based on Computational Fluid Dynamics. To accomplish that, the forced convec…

math.NA2023

Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions

Guglielmo Padula, Francesco Romor, Giovanni Stabile +1

Real-world applications of computational fluid dynamics often involve the evaluation of quantities of interest for several distinct geometries that define the computational domain…

math.NA2023★ 2 cited

Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations

Francesco Romor, Giovanni Stabile, Gianluigi Rozza

A slow decaying Kolmogorov n-width of the solution manifold of a parametric partial differential equation precludes the realization of efficient linear projection-based reduced-ord…

math.NA2023★ 2 cited

A physics-based reduced order model for urban air pollution prediction

Moaad Khamlich, Giovanni Stabile, Gianluigi Rozza +2

This article presents an innovative approach for developing an efficient reduced-order model to study the dispersion of urban air pollutants. The need for real-time air quality mon…