TorchCor: high-performance cardiac electrophysiology simulations with the finite element method on GPUs
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Cardiac electrophysiology (CEP) simulations are increasingly used for under standing cardiac arrhythmias and guiding clinical decisions. However, these simulations typically require high-performance computing resources with numerous CPU cores, which are often inaccessible to many research groups and clinicians. To address this, we present TorchCor, a high-performance Python library for CEP simulations using the finite element method on general-purpose GPUs. Built on PyTorch, TorchCor significantly accelerates CEP simulations, particularly for large 3D meshes. The accuracy of the solver is verified against manufactured analytical solutions and the N version benchmark problem. TorchCor is freely available for both academic and commercial use without restrictions.
Date Issued
2026-02-01
Date Acceptance
2026-01-14
Citation
SoftwareX, 2026, 33
ISSN
2352-7110
Publisher
Elsevier
Journal / Book Title
SoftwareX
Volume
33
Copyright Statement
© 2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
10.1016/j.msea.2026.149777
Publication Status
Published
Article Number
102521
Date Publish Online
2026-01-19