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math.NA2024
Numerical Robustness of PINNs for Multiscale Transport Equations
Alexander Jesser, Kai Krycki, Ryan G. McClarren +1
We investigate the numerical solution of multiscale transport equations using Physics Informed Neural Networks (PINNs) with ReLU activation functions. Therefore, we study the analo…
math.NA2014
Sensitivity analysis for dose deposition in radiotherapy via a Fokker-Planck model
Richard C. Barnard, Martin Frank, Kai Krycki
In this paper we study the sensitivities of electron dose calculations with respect to the stopping power and the transport coefficients. We focus on the application to radiotherap…