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physics.flu-dyn2023
Uncertainty quantification for the squeeze flow of generalized Newtonian fluids
Aricia Rinkens, Clemens V. Verhoosel, Nick O. Jaensson
The calibration of rheological parameters in the modeling of complex flows of non-Newtonian fluids can be a daunting task. In this paper we demonstrate how the framework of Uncerta…
eess.SY2023
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models
Sarvin Moradi, Nick Jaensson, Roland Tóth +1
In order to make data-driven models of physical systems interpretable and reliable, it is essential to include prior physical knowledge in the modeling framework. Hamiltonian Neura…