no code implementations • 13 Feb 2024 • Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Furthermore, a specific network architecture is studied which is tailored for solutions in the form of traveling waves.
no code implementations • 3 Aug 2023 • Stefan Posch, Clemens Gößnitzer, Franz Rohrhofer, Bernhard C. Geiger, Andreas Wimmer
The turbulent jet ignition concept using prechambers is a promising solution to achieve stable combustion at lean conditions in large gas engines, leading to high efficiency at low emission levels.
no code implementations • 3 Aug 2023 • Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, José M. García-Oliver, Bernhard C. Geiger
We assess a simple, yet effective loss weight adjustment that outperforms the standard mean-squared error optimization and enables accurate learning of all species mass fractions, even of minor species where the standard optimization completely fails.
1 code implementation • 25 Mar 2022 • Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
This paper empirically studies commonly observed training difficulties of Physics-Informed Neural Networks (PINNs) on dynamical systems.