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…
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…
cond-mat.stat-mech2023
Assessing the Suitability of the Langevin Equation for Analyzing Measured Data Through Downsampling
Pyei Phyo Lin, Matthias Wächter, Joachim Peinke +1
The measured time series from complex systems are renowned for their intricate stochastic behavior, characterized by random fluctuations stemming from external influences and nonli…