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

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
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article

Tensile behaviour and microstructure of wire-based laser directed energy deposited normal- and high-strength steels

Ahmed Y. Elghazouli, Si‐Wei Liu, Fuming Yang
Materials Science and Engineering A
Additive Manufacturing Materials and Processes
article

Tensile behaviour and microstructure of wire-based laser directed energy deposited normal- and high-strength steels

Ahmed Y. Elghazouli, Si‐Wei Liu, Fuming Yang
article en

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.

Materials Science and Engineering AVol. 953
Openalex Percentile: Top 90%
Additive Manufacturing Materials and Processes
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