EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.
The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.
This project’s goal is to increase the accuracy and reduce the uncertainty of performance and load assessment tools and associated procedures that are commonly used in the industrial design and certification of modern wind energy systems.
This enrichment program offers school-age students opportunities to develop and execute simulation projects in collaboration with HLRS scientists.
SRI DiTEnS is developing methods for discursive transformation in local energy systems, using urban digital twins involving virtual reality to support decision making among stakeholders.
bwVisu provided powerful visualization resources to scientific institutions in Baden-Württemberg, including working toward the development of a scalable service for remote visualization of scientific data.
By combining machine learning, sensor technology, network analysis and virtual reality in digital twins, HLRS is developing planning and decision support tools for conflict analysis and reduction between cyclists and pedestrians.
By presenting exciting, immersive experiences of current engineering topics in virtual reality and augmented reality, DimensionLab3 aims to increase young students' interest in and motivation to study technical subjects.
InHPC-DE furthers the federation of the three national HPC centres in Germany, addresses new requirements such as security, and evaluates the Gaia-X ecosystem in the context of high-performance computing.
This project is developing tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
HLRS is developing approaches for combining freely available data and supercomputing resources to create a new generation of searchable data products for European citizens, public authorities, economic operators, and decision makers.
This project is testing a novel, simulation-based approach to develop new systems for protecting vehicle occupants in accidents.
The project Reallabor Stadtquartiere 4.0 explored new methods and technologies to support participatory planning for sustainable development.
S+T+ARTS AIR is making supercomputing technologies and expertise available to enable innovative collaborations involving the arts, science, and technology.
