Cluster of Excellence

Networking knowledge across disciplines

The Cluster of Excellence is an interdisciplinary research network in the field of simulation science. The cluster’s diverse networks serve quality assurance and increase the international visibility of our research.


Stuttgart Center for Simulation Science (SC SimTech)

The Cluster of Excellence research falls under the Stuttgart Center for Simulation Science (SC SimTech). As a key unit of the University of Stuttgart, the Center ensures that simulation research has a permanent place in Stuttgart.

Cluster of Excellence EXC 310 "Simulation Technology (SimTech)"

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.

Cluster of Excellence EXC 2075 "Data-integrated Simulation Science (SimTech)"

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.

Organization of our Research

We organize our research in interdisciplinary Project Networks which are coordinated by our Principal Investigators from relevant disciplines.