Research

Research Background

The research areas presented on this page document selected previous research projects and scientific themes from Martin O. Steinhauser’s academic work in applied physics, computational modeling, shock-wave physics, soft matter, materials science, and biological systems.

These research lines provide an overview of the experimental, theoretical, and computational methods that have shaped his scientific background. They were developed in earlier academic and research contexts, including work at major universities and research institutions.

At Frankfurt University of Applied Sciences, this experience is now brought together in research-based teaching, scientific synthesis, and the preparation of advanced textbooks and monographs in physics, mathematics, and computational science.

The pages below are therefore intended as a curated overview of scientific competence, methods, publications, and previous research results. They do not describe a current laboratory research program at Frankfurt University of Applied Sciences, but document the research background on which his present academic work is based.

Theoretical and Computational Techniques

Theoretical and computational methods used in his research include

Molecular dynamics simulations
Coarse-grained simulations
Monte Carlo methods
Discrete element methods
Finite element methods
Smoothed particle hydrodynamics
Mesh-free simulation methods
Voronoi tessellations and power diagrams
Clustering algorithms and statistical analysis
High-performance scientific computing and parallel algorithms

Experimental Validation Techniques

Although his primary expertise lies in scientific simulation and numerical method development, selected projects have included experimental validation in collaboration with Fraunhofer EMI in Freiburg. Experimental techniques used for validation and microstructural characterization have included