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
• Schäfer, Wandel, Burger, Maindl, Malamud, Buruchenko, Sfair, Audiffren, Vavilina, Winter, 2020, A versatile smoothed particle hydrodynamics code for graphic cards

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