128 citations · 154 across the 5 of their papers we have counts for
7 papers
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
Matteo Salvador, Luca Dede', Andrea Manzoni
We propose a nonlinear reduced basis method for the efficient approximation of parametrized partial differential equations (PDEs), exploiting kernel proper orthogonal decomposition…
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations
Roberto Piersanti, Pasquale C. Africa, Marco Fedele +4
Since myocardial fibers drive the electric signal propagation throughout the myocardium, accurately modeling their arrangement is essential for simulating heart electrophysiology (…
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation
Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa +3
In the framework of accurate and efficient segregated schemes for 3D cardiac electromechanics and 0D cardiovascular models, we propose here a novel numerical approach to address th…
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation
Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa +3
We propose an integrated electromechanical model of the human heart, with focus on the left ventricle, wherein biophysically detailed models describe the different physical phenome…
Deep learning-based reduced order models in cardiac electrophysiology
Stefania Fresca, Andrea Manzoni, Luca Dedè +1
Predicting the electrical behavior of the heart, from the cellular scale to the tissue level, relies on the formulation and numerical approximation of coupled nonlinear dynamical s…
Biophysically detailed mathematical models of multiscale cardiac active mechanics
Francesco Regazzoni, Luca Dedè, Alfio Quarteroni
We propose four novel mathematical models, describing the microscopic mechanisms of force generation in the cardiac muscle tissue, which are suitable for multiscale numerical simul…