46 citations · 131 across the 6 of their papers we have counts for
6 papers
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…
Deep learning-based reduced-order methods for fast transient dynamics
Martina Cracco, Giovanni Stabile, Andrea Lario +5
In recent years, large-scale numerical simulations played an essential role in estimating the effects of explosion events in urban environments, for the purpose of ensuring the sec…
A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations
Shafqat Ali, Francesco Ballarin, Gianluigi Rozza
In the Reduced Basis approximation of Stokes and Navier-Stokes problems, the Galerkin projection on the reduced spaces does not necessarily preserved the inf-sup stability even if…
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems
Giulio Ortali, Nicola Demo, Gianluigi Rozza
This work describes the implementation of a data-driven approach for the reduction of the complexity of parametrical partial differential equations (PDEs) employing Proper Orthogon…
Weighted reduced order methods for parametrized partial differential equations with random inputs
Luca Venturi, Davide Torlo, Francesco Ballarin +1
In this manuscript we discuss weighted reduced order methods for stochastic partial differential equations. Random inputs (such as forcing terms, equation coefficients, boundary co…
Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs
Davide Torlo, Francesco Ballarin, Gianluigi Rozza
In this work, we propose viable and efficient strategies for stabilized parametrized advection dominated problems, with random inputs. In particular, we investigate the combination…