Research
Selected Research Activities
Current Research Projects
Inverse Design of Metamaterials
The inverse design of metamaterials aims to systematically develop microstructures that achieve prescribed macroscopic material properties. In this project, deep learning methods are employed to efficiently capture complex structure–property relationships and make them usable for data-driven material development. […]
Computational modeling of ground freezing
In this research topic, a computational framework is developed for modeling frozen soils and for designing artificial ground freezing in tunnel construction. The integration of validated geomechanical modeling of the ground and tunnel support with the effects of artificial ground freezing enables the optimization of process parameters for creating frozen soil bodies […]
Data-Driven and AI-Assisted Methods for Efficient Simulations in Finite Element Environments
The research focuses on the development and implementation of AI-supported, data-driven models in solid mechanics. The goal is to accelerate FEM-based simulations, increase their accuracy, and efficiently model complex nonlinear material behavior. The research examines suitable implementation methods, numerical stability, computational efficiency […]