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Authors
Sanu, Suryanarayanan Manoj
Bessa, Miguel A.
Aragón, Alejandro M. https://orcid.org/0000-0003-2275-6207
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Article History
Received: 10 October 2025
Revised: 19 February 2026
Accepted: 24 February 2026
First Online: 4 May 2026
Declarations
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: The authors declare no conflict of interest relevant to this article.
: The code accompanying this article is made openly available to facilitate replication and further exploration of the presented concepts. All implementations can be accessed via the associated GitHub repository, which includes annotated Jupyter notebooks and supporting Python modules. These notebooks can be executed directly in Google Colab without installation, allowing readers to reproduce all examples and experiment with different backends ( JAX or PyTorch ) to observe how automatic differentiation enables sensitivity analysis.
