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Authors
Herrmann, Leon https://orcid.org/0000-0002-9850-1203
Bürchner, Tim
Kudela, László
Kollmannsberger, Stefan
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Funding
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (KO 4570/1-2)
Deutsche Forschungsgemeinschaft (KO 4570/1-2)
Georg Nemetschek Institute (DeepMonitor)
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Article History
Received: 23 September 2025
Revised: 10 December 2025
Accepted: 16 December 2025
First Online: 19 February 2026
Declarations
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: No potential conflict of interest was reported by the authors.
: We provide a PyTorch and CUDA implementation of the finite difference solver and the memory-efficient adjoint sensitivity method in Herrmann et al. ( ). Together with the CNN implementation from Herrmann et al. ( ), all results can be replicated.
