In the 21st century's societies, Simulation Technology is one of the most challenging research areas in contemporary engineering and natural sciences with a fundamental effect on all fields of human life. It offers solutions for a broad variety of applications with an enormous economic and scientific impact.
This development has been enhanced by new findings in modelling and Simulation Technology as well as by new soft- and hardware components. Recent and future developments in technology and society pose challenges which require Simulation Technology to advance to a new level.
New Challenges – New Strategies
- We overcome contemporary strategies of isolated tools and theories from different disciplines.
- We merge the existing approaches into a new class of integrated simulation environments.
- We consider all aspects of the simulation ranging from models to interactive systems.
Organisation and Goals of our Research
Our long-term mission is to advance Simulation Technology to a new level by progressing from isolated approaches to an integrative systems science. In this, we are guided by our five central visions.
We engage in seven different disciplines, our Research Areas (RA). These range from Molecular Dynamics and Advanced Mechanics to Computational Mathematics and Systems Analysis to Data-Management and Visualisation as well as to High-Performance-Computing. An Integrative Platform of Reflection and Contextualisation acts as bracket across our research.
In order to implement our visions, the researchers within the Cluster are organised in interdisciplinary Project Networks. These networks are grouped around central application visions and enhance the cooperation within traditionally separated disciplines.
To progress from isolated numerical approaches to integrative systems science, we pursue five central visions.
We focus on six research areas in natural sciences and engineering, as well as in computer science.
Through transfer, i.e. to industrial applications, the Cluster contributes to the economic benefit of our society.
Software and data play an important role in simulation science. In order to achieve scientific results, software is both used and developed, while data is used and produced by simulation software. SimTech assists researchers in the necessary data and software management and contributes towards guaranteeing the transparency and reproducibility of scientific results.
Our concept for transfer promotes mutual exchange in research and development between related institutes of the University of Stuttgart, the general scientific community, and industry. Including both, research and education we pool resources and provide appropriate platforms.
Data-integrated simulation science relies heavily on a successful data and software management. SimTech researchers can build upon their proven outstanding expertise in research software development and a strong foundation laid out by the University of Stuttgart.