Tensile behaviour and microstructure of wire-based laser directed energy deposited normal- and high-strength steels
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.
Authors
- Ahmed Y. Elghazouli (ORCID: https://orcid.org/0000-0002-0038-7415)
- Si‐Wei Liu (ORCID: https://orcid.org/0000-0002-3283-5964)
- Fuming Yang
Publication Details
- Journal
- Materials Science and Engineering A
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1016/j.msea.2026.149777
- Primary Topic
- Additive Manufacturing Materials and Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00