activity
20212024
most citedLatent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes

5 citations · 14 across the 12 of their papers we have counts for

collaborators

12 papers

math.NA2024

Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems

Michele Bucelli, Francesco Regazzoni, Luca Dede' +1

Multiphysics simulations frequently require transferring solution fields between subproblems with non-matching spatial discretizations, typically using interpolation techniques. St…

math.NA2024

An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation

Elena Zappon, Matteo Salvador, Roberto Piersanti +3

When generating in-silico clinical electrophysiological outputs, such as electrocardiograms (ECGs) and body surface potential maps (BSPMs), mathematical models have relied on singl…

math.NA20231 cited

A staggered-in-time and non-conforming-in-space numerical framework for realistic cardiac electrophysiology outputs

Elena Zappon, Andrea Manzoni, Alfio Quarteroni

Computer-based simulations of non-invasive cardiac electrical outputs, such as electrocardiograms and body surface potential maps, usually entail severe computational costs due to…

math.NA2023

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

Pasquale C. Africa, Roberto Piersanti, Francesco Regazzoni +6

Simulating the cardiac function requires the numerical solution of multi-physics and multi-scale mathematical models. This underscores the need for streamlined, accurate, and high-…

math.NA20233 cited

Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

Matteo Salvador, Marina Strocchi, Francesco Regazzoni +3

Cardiac digital twins provide a physics and physiology informed framework to deliver predictive and personalized medicine. However, high-fidelity multi-scale cardiac models remain…

math.NA2023

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: application to cardiac electromechanics

Michele Bucelli, Francesco Regazzoni, Luca Dede' +1

The accurate robust and efficient transfer of the deformation gradient tensor between meshes of different resolution is crucial in cardiac electromechanics simulations. We present…