221 citations · 1.1k across the 59 of their papers we have counts for
5 papers · 2 filters
Stochastic Parameter Prediction in Cardiovascular Problems
Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile +1
Patient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential fo…
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation
Harshith Gowrachari, Nicola Demo, Giovanni Stabile +1
Advection-dominated problems are predominantly noticed in nature, engineering systems, and various industrial processes. Traditional linear compression methods, such as proper orth…
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza
In this paper, we propose an equation-based parametric Reduced Order Model (ROM), whose accuracy is improved with data-driven terms added into the reduced equations. These addition…
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
Kabir Bakhshaei, Umberto Emil Morelli, Giovanni Stabile +1
A stochastic inverse heat transfer problem is formulated to infer the transient heat flux, treated as an unknown Neumann boundary condition. Therefore, an Ensemble-based Simultaneo…
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani +2
This paper aims to comprehensively investigate the efficacy of various Model Order Reduction (MOR) and deep learning techniques in predicting heat transfer in a pulsed jet impingin…