Successful Clusters of Excellence apply for further funding period

"Our already very successful Clusters of Excellence Integrative Computational Design and Construction for Architecture (IntCDC) and Data-integrated Simulation Science (SimTech) also stand for cutting-edge interdisciplinary research that uses fundamentally new investigative approaches and methods to advance solutions for social challenges," emphasizes Ressel.  For example, IntCDC is paving the way towards greater sustainability in the construction industry, and thus making a decisive contribution to the development of a climate- and environmentally-friendly society. With its innovative data-based simulation models, SimTech enables significant progress in the research, testing, and application of new technologies. Both Clusters of Excellence are now applying for a further funding period.

IntCDC: Research for more sustainability in the construction industry

Launched in 2019, the Integrative Computational Design and Construction for Architecture (IntCDC) cluster uses digital technologies to rethink planning and construction in an integrative and interdisciplinary approach, and thus enable greater sustainability in the construction industry. To this end, the University of Stuttgart and the Max Planck Institute for Intelligent Systems (MPI-IS) merge their internationally recognized research expertise. More than 150 scientists from the fields of architecture, computer science and robotics, engineering, production and systems technology as well as the humanities and social sciences are currently working together to modernize the construction sector. They are focusing on the co-design of integrative computer-based planning and construction methods, on cyber-physical manufacturing and construction processes, as well as on next-generation sustainable material and construction systems. In the second funding phase, the cluster aims to take up new initiatives and scientific challenges in order to lay the methodological foundations for sustainable architecture.

SimTech: New simulation models for science and innovation

Without simulations, advances in science and technological innovations for the benefit of society are not possible. Since 2019, researchers at the Cluster of Excellence Data-integrated Simulation Science (SimTech) have been working on new data-driven methods that go beyond improving the applicability and accuracy of simulation models. The systematic integration of data into simulation science is also changing the way science and technology are conducted. Developments include data-based representations of physical phenomena, new methods for designing and optimizing micro-materials, and data-based models for optimizing control processes and algorithms. Although we have already come a long way in data-integrated simulation science, there is still a great deal of untapped potential in dealing with knowledge and understanding. This untapped potential will be the focus of research in the next funding phase and will be systematically integrated into models, methods, and algorithms in the future in order to further promote our insights.