145 citations · 451 across the 18 of their papers we have counts for
5 papers · 1 filter
Simulating Surface Wave Dynamics with Convolutional Networks
Mario Lino, Chris Cantwell, Stathi Fotiadis +2
We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geometries. We focus on a U-Net ar…
PDE-induced connection of moving frames for the Atlas of the cardiac electric propagation on 2D atrium
Sehun Chun, Chris Cantwell
As another critical implementation of moving frames for partial differential equations, this paper proposes a novel numerical scheme by aligning one of three orthogonal unit vector…
Comparing recurrent and convolutional neural networks for predicting wave propagation
Stathi Fotiadis, Eduardo Pignatelli, Mario Lino Valencia +3
Dynamical systems can be modelled by partial differential equations and numerical computations are used everywhere in science and engineering. In this work, we investigate the perf…
Reducing complexity and unidentifiability when modelling human atrial cells
C. Houston, B. Marchand, L. Engelbert +1
Mathematical models of a cellular action potential in cardiac modelling have become increasingly complex, particularly in gating kinetics which control the opening and closing of i…
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…