Für den Exzellenzcluster wurde auf dem Universitätscampus in Stuttgart-Vaihingen ein eigenes Forschungsgebäude errichtet. Foto: SimTech

About Us

New ways of Simulation

Scientists and engineers have been constructing models of complex phenomena for centuries. Computational simulation helps us understand important aspects of the system described, predict system states under different conditions, and derive decisions for controlling them. Simulation technology has become and indispensable tool for research, development, and operations in many different areas. Much of the technological progress in our modern society depends on continual advances in the field of simulation.

EXC 310

Since 2007, the Cluster of Excellence EXC 310 "Simulation Technology (SimTech)" at the University of Stuttgart has significantly advanced both breadh and depth of smulation science, covering models, methods, and computing from engineering perspective. EXC 310's interdisciplinary and methodological profile has had a sustainable impact on shaping the entire University. In light of its scientific record, successful educational measures, and support for early career researchers, the Cluster is now evolving in a new direction.

EXC 2075

The new Cluster of Excellence EXC 2075 "Data-integrated Simulation Science (SimTech)" will address the relevance of insights and knowledge obtainable from the abundance of data from sensors, digitized collections, experiments, and simulations. Data techniques have proven capable of inferring models from huge amounts of data. However, these methods suffer from various deficits, for example, in explaining predictions or in respecting physical laws such as energy conservation. Complex systems and the associated fundamental problems can be thoroughly understood only by respecting first principles. Therefore, our long-term goal is to systematically integrate information derived from various types of data into the modeling-simulation-analysis circle. This will let us gain a deeper understanding, obtain more precise predictions, and make more relaible decisions. We aim to develop new classes of approaches that are jointly simulation-driven and data-driven, and intend to boost the applicability and accuracy of simulations, thereby transforming how we do science and engineering. Our research is driven by selected engineering and science domains in which the University of Stuttgart is particularly strong, such as the simulation of multiphase flows, porous materials, engineering structures, and biological systems that re described both as continua and as particle systems.



SimTech Cluster of Excellence

Pfaffenwaldring 5a, 70569 Stuttgart

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