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physics.flu-dyn2023
Model Order Reduction for the 1D Boltzmann-BGK Equation: Identifying Intrinsic Variables Using Neural Networks
Julian Koellermeier, Philipp Krah, Julius Reiss +1
Kinetic equations are crucial for modeling non-equilibrium phenomena, but their computational complexity is a challenge. This paper presents a data-driven approach using reduced or…
physics.flu-dyn2023★ 2 cited
Parametric model order reduction for a wildland fire model via the shifted POD based deep learning method
Shubhaditya Burela, Philipp Krah, Julius Reiss
Parametric model order reduction techniques often struggle to accurately represent transport-dominated phenomena due to a slowly decaying Kolmogorov n-width. To address this challe…