1 citations · 1 across the 3 of their papers we have counts for
3 papers
Learning High-dimensional Ionic Model Dynamics Using Fourier Neural Operators
Luca Pellegrini, Massimiliano Ghiotto, Edoardo Centofanti +1
Ionic models, described by systems of stiff ordinary differential equations, are fundamental tools for simulating the complex dynamics of excitable cells in both Computational Neur…
Learning cardiac activation and repolarization times with operator learning
Edoardo Centofanti, Giovanni Ziarelli, Nicola Parolini +3
Solving partial or ordinary differential equation models in cardiac electrophysiology is a computationally demanding task, particularly when high-resolution meshes are required to…
A comparison of Algebraic Multigrid Bidomain solvers on hybrid CPU-GPU architectures
Edoardo Centofanti, Simone Scacchi
The numerical simulation of cardiac electrophysiology is a highly challenging problem in scientific computing. The Bidomain system is the most complete mathematical model of cardia…