3 papers
physics.flu-dyn2026
Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction
Henning Schwarz, Pyei Phyo Lin, Jens-Peter M. Zemke +1
Grid-based neural networks such as convolutional autoencoders are widely used in dimension reduction-based surrogate models for computational fluid dynamics. In recent years, the u…
physics.flu-dyn2025
Data-driven pressure field prediction for ships in regular sea states
Malte Loft, Henning Schwarz, Thomas Rung
Merchant shipping is responsible for more than 90% of the global trade and has a significant environmental impact, accounting for over 2% of global greenhouse gas emissions. Theref…
cs.LG2025
Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders
Henning Schwarz, Pyei Phyo Lin, Jens-Peter M. Zemke +1
Data-driven reduced-order models based on autoencoders generally lack interpretability compared to classical methods such as the proper orthogonal decomposition. More interpretabil…