Science, Research & Development


Scientific computing and computational physics

Co-developed a smooth particle hydrodynamics (SPH) hypervelocity impact code featuring full elasto-plastic continuum mechanics and a damage model.

High-performance parallel computing based on NVIDIA® CUDA™.

Applications include hypervelocity impacts and penetration studies. Example peer-reviewed publications:

Maindl, Schäfer, Speith, Süli, Forgács-Dajka, Dvorak, 2013, SPH-based simulation of multi-material asteroid collisions

Schäfer, Riecker, Maindl, Speith, Scherrer, Kley, 2016, A smooth particle hydrodynamics code to model collisions between solid, self-gravitating objects

Artificial intelligence

Use of machine learning (neural networks and genetic algorithms) for predicting (numerical) experiment outcome. First peer-reviewed publication:

Winter, Galiazzo, Maindl, 2018, Analysis of close encounters with Ganymede and Callisto using a genetic n-body algorithm

Sample SPH simulation

A rocky 1 cm asteroid at a speed of 10 km/s cuts through a 1 cm aluminum spacecraft shielding. For better visibility the actual 3D SPH simulation has been cut in half.

Disclaimer: the methods and codes mentioned in this section are leading-edge and hence of a scientific, experimental nature.

Please reach out to us if you are interested in a project-based engagement.