120 citations · 349 across the 13 of their papers we have counts for
7 papers · 1 filter
Physics-Informed Neural Networks for the High-Resolution Reconstruction of Flow Measurement Indicators in Fluid Dynamics
Irena Radišić, Raffaele Tirotta, Alberto Zingaro +2
Accurate, spatially resolved flow field measurements are essential for the reliable assessment of hemodynamic quantities in cardiovascular research and clinical practice. Experimen…
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
Alberto Zingaro, Michele Bucelli, Roberto Piersanti +3
We introduce a multiphysics and geometric multiscale computational model, suitable to describe the hemodynamics of the whole human heart, driven by a four-chamber electromechanical…
Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface Method
Alberto Zingaro, Michele Bucelli, Ivan Fumagalli +2
A major challenge in the computational fluid dynamics modeling of the heart function is the simulation of isovolumetric phases when the hemodynamics problem is driven by a prescrib…
A mathematical model that integrates cardiac electrophysiology, mechanics and fluid dynamics: application to the human left heart
Michele Bucelli, Alberto Zingaro, Pasquale Claudio Africa +3
We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and in…
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
Marco Fedele, Roberto Piersanti, Francesco Regazzoni +6
While ventricular electromechanics is extensively studied, four-chamber heart models have only been addressed recently; most of these works however neglect atrial contraction. Inde…
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems
Tommaso Tassi, Alberto Zingaro, Luca Dede'
We propose using machine learning and artificial neural networks (ANNs) to enhance residual-based stabilization methods for advection-dominated differential problems. Specifically,…
A geometric multiscale model for the numerical simulation of blood flow in the human left heart
Alberto Zingaro, Ivan Fumagalli, Luca Dede' +4
We present a new computational model for the numerical simulation of blood flow in the human left heart. To this aim, we use the Navier-Stokes equations in an Arbitrary Lagrangian…