AI RESEARCH
Physics-Informed Neural Operators for Cardiac Electrophysiology
arXiv CS.LG
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ArXi:2511.08418v2 Announce Type: replace Accurately simulating systems governed by PDEs, such as voltage fields in cardiac electrophysiology (EP) modelling, remains a significant modelling challenge. Traditional numerical solvers are computationally expensive and sensitive to discretisation, while canonical deep learning methods are data-hungry and struggle with chaotic dynamics and long-term predictions.