Operator learning surrogates map cardiac stimulus locations to activation and repolarization times on synthetic 2D and 3D heart meshes, with relative errors from 5e-4 to 7e-2 and large speedups over Monodomain simulation.
Kernel methods are com- petitive for operator learning.Journal of Computational Physics496 (2024): 112549
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Learning cardiac activation and repolarization times with operator learning
Operator learning surrogates map cardiac stimulus locations to activation and repolarization times on synthetic 2D and 3D heart meshes, with relative errors from 5e-4 to 7e-2 and large speedups over Monodomain simulation.