12 papers
An isotropic recovery-based error estimator algorithm for mesh adaptation in a finite volume environment with application to atmospheric flows
Lander Besabe, Michele Girfoglio, Simona Perotto +2
We develop an Isotropic Recovery-based Error Estimator (IREE) to drive mesh adaptation within a finite volume framework. Recovery-based error estimators are widely used in practice…
A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems
Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza
Forecasting the evolution of complex dynamical systems remains a fundamentally challenging task, primarily due to pronounced nonlinear interactions, high-dimensional state spaces,…
Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution
Armin Sheidani, Michele Girfoglio, Annalisa Quaini +1
Super-resolution (SR) techniques based on deep learning have recently emerged as a promising approach to enhance the spatial resolution of computational fluid dynamics simulations…
On an adjoint-based numerical approach for time-dependent optimal control problems of biomedical interest
Zahra Mirzaiyan, Pierfrancesco Siena, Pasquale Claudio Africa +2
This work develops a rigorous numerical framework for solving time-dependent Optimal Control Problems (OCPs) governed by partial differential equations, with a particular focus on…
A Review of Equation-Based and Data-Driven Reduced Order Models featuring a Hybrid cardiovascular application
Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio +1
Cardiovascular diseases are a leading cause of death in the world, driving the development of patient-specific and benchmark models for blood flow analysis. This chapter provides a…
A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2
The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…