Institute of Mechanics and Computational Mechanics Research Research projects
Application of stochastic and machine learning approaches for efficient analysis of dynamical systems

Application of stochastic and machine learning approaches for efficient analysis of dynamical systems

Team:  Benjamin Hirzinger, Udo Nackenhorst
Year:  2022
Funding:  IRTG 2657, DFG

This project is carried out within the framework of the International Research Training Group 2657. See more here.

Team

Postdoctoral Researcher: Benjamin Hirzinger

Principal Investigator: Udo Nackenhorst