145 citations · 451 across the 18 of their papers we have counts for
4 papers · 1 filter
Approximating the solution to wave propagation using deep neural networks
Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin +2
Humans gain an implicit understanding of physical laws through observing and interacting with the world. Endowing an autonomous agent with an understanding of physical laws through…
Combined CG-HDG Method for Elliptic Problems: Performance Model
Martin Vymazal, David Moxey, Chris Cantwell +2
We combine continuous and discontinuous Galerkin methods in the setting of a model diffusion problem. Starting from a hybrid discontinuous formulation, we replace element interiors…
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis +6
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibril…
Spectral/hp element methods: recent developments, applications, and perspectives
Hui Xu, Chris D. Cantwell, Carlos Monteserin +3
The spectral/hp element method combines the geometric flexibility of the classical h-type finite element technique with the desirable numerical properties of spectral methods, empl…