Franz M. Rohrhofer
Orcid: 0000-0002-8228-7759
According to our database1,
Franz M. Rohrhofer authored at least 11 papers
between 2021 and 2026.
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Bibliography
2026
Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems.
CoRR, May, 2026
2025
Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems.
CoRR, September, 2025
Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks.
Comput. Phys. Commun., 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
2023
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks.
Trans. Mach. Learn. Res., 2023
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes.
CoRR, 2023
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization.
CoRR, 2023
IEEE Access, 2023
2022
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems.
CoRR, 2022
2021
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures.
CoRR, 2021