93 citations · 165 across the 16 of their papers we have counts for
18 papers
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…
Approximate Acoustic Boundary Conditions in the Time-Domain using Volume Penalization
Mathias Lemke, Julius Reiss
Immersed boundary methods allow describing complex objects on simple Cartesian grids in time-domain simulations. The penalization technique employed here is a physically motivated…
Front Transport Reduction for Complex Moving Fronts
Philipp Krah, Steffen Büchholz, Matthias Häringer +1
This work addresses model order reduction for complex moving fronts, which are transported by advection or through a reaction-diffusion process. Such systems are especially challen…
Pressure-tight and non-stiff volume penalization for compressible flows
Julius Reiss
Embedding geometries in structured grids allows a simple treatment of complex objects in fluid simulations. Various methods for embedding geometries are available. The commonly use…
Wavelet Adaptive Proper Orthogonal Decomposition for Large Scale Flow Data
Philipp Krah, Thomas Engels, Kai Schneider +1
The proper orthogonal decomposition (POD) is a powerful classical tool in fluid mechanics used, for instance, for model reduction and extraction of coherent flow features. However,…
A "DIY" data acquisition system for acoustic field measurements under harsh conditions
Steffen Büchholz, Mathias Lemke, Julius Reiss +1
Monitoring active volcanos is an ongoing and important task helping to understand and predict volcanic eruptions. In recent years, analysing the acoustic properties of eruptions be…