The elephant in the room: Probabilistic Machine Learning into physical models
De Matthew Juniper
Local sensing and nonlinear diffusion in models of chemotactic aggregation
De Ariane Trescases
Apparaît dans les collections : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèle, Exposés de recherche
In this talk we overview some of the challenges of cardiac modeling and simulation of the electrical depolarization of the heart. In particular, we will present a strategy allowing to avoid the 3D simulation of the thin atria depolarization but only solve an asymptotic consistent model on the mid-surface. In a second part, we present a strategy for estimating a cardiac electrophysiology model from front data measurements using sequential parallel data assimilation strategy.