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Universität Stuttgart: Cluster of Excellence Simulation Technology

 

With the Cluster of Excellence in Simulation Technology we intend a paradigm shift from the consideration of isolated processes in engineering and natural sciences towards the investigation of holistic interactive systems. While contemporary strategies generally focus on the solution of sub-problems of entire systems, we expect future scenarios, where the simulation-based solution of entire systems including sub-problems on all space and time scales will be essential.

 

Our vision requires to link three basic types of interactions:

  • the interactive handling of multi-scale, multi-physics systems under consideration of uncertainty by simulation in order to gain a qualitative and quantitative understanding, to predict the system behaviour and to prepare decisions,
  • the interactive situation-adapted or context-adapted optimisation of systems that are influenced by sensor data streams in real time, and
  • the interaction between developers and systems for evaluating the consequences of system behaviour, for management, optimisation, control and automation.


In the short- and medium term, the cluster aims at providing the methods necessary to interactively handle systems by simulation in order to predict and to optimise their behaviour. To strive for this goal, the ability to describe systems, compute system-relevant initial boundaryvalue problems, analyse the system and display the results graphically is a must. The necessary methods and tools stem from the engineering and natural science communities and exhibit a cascade of scales and multi-physics behaviour. The goal of an interactive situation-adapted optimisation of systems, however, goes far beyond all state-of-the-art scenarios and opens new perspectives for future simulation sciences.

 

We anticipate the long-term scientific vision of the cluster from future application areas. Among these applications, we see visions such as advancing

  • from Empirical Material Description towards Computational Material Design,
  • towards Integrative Virtual Prototyping,
  • towards Interactive Environmental Engineering,
  • from Classical Biology to Systems Biology, and
  • from Biomechanics towards the Overall Human Model.

 

Further Information