8 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Discontinuous Jump Behavior of the Energy Conversion in Wind Energy Systems
Pyei Phyo Lin, Matthias Waechter, M. Reza Rahimi Tabar +1
The power conversion process of a wind turbine can be characterized by a stochastic differential equation (SDE) of the power output conditioned to certain fixed wind speeds. An ana…