Fraunhofer SCAI has developed two new efficient AI methods: post-training adaptable simulation models and fast generation of crystal structures with fewer computational resources.
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Fraunhofer SCAI has developed two new efficient AI methods: post-training adaptable simulation models and fast generation of crystal structures with fewer computational resources.
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Fraunhofer SCAI has added planning for pallet and truck loading, as well as cost calculation, to its PackAssistant packaging software. The new version extends packaging planning to include additional stages of the transport chain. Companies can now compare multiple solutions in terms of their packing and logistics costs.
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With AutoPanelSizer 6, the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) takes its optimization software for cutting rectangular parts to a new level. Two features stand out: First, the software now supports any number of cutting stages. Second, AutoPanelSizer offers more precise control over preferred panel formats and overproduction.
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Fraunhofer is building a new research facility for artificial intelligence, data analytics, and high-performance computing on the University of Bonn’s Poppelsdorf Campus. The Fraunhofer Center for Next Generation High Performance Data Analytics and Computing, or NG-HPDAC, recently completed its architectural competition. Henn Architekten from Munich secured first prize.
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Dr. Mehrnaz Anvari from Fraunhofer SCAI is a member of the Arab-German Young Academy of Sciences and Humanities. Since 2025, she has contributed her expertise in resilient energy grids, data-driven modeling, and simulation software to the international network.
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The expansion of renewable energy and mobile systems comes with a hidden risk: adding more components does not automatically make networks more stable. A new publication by Dr. Mehrnaz Anvari (Fraunhofer SCAI) and Prof. Marc Timme (TU Dresden) in the journal Nature Computational Science shows that only a holistic view of system dynamics can ensure stability.
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Interoperability remains one of the biggest obstacles in engineering simulation. Data is often locked in silos, workflows break down between software tools, and manual transfer steps still cost time, money, and reliability. A new review by the NAFEMS ASSESS Initiative highlights two technologies closely associated with Fraunhofer SCAI: the VMAP standard for simulation data exchange and the MpCCI software environment for multiphysics co-simulation.
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How can heterogeneous energy portfolios be optimized based on economic criteria, and how can energy networks be planned efficiently? Fraunhofer SCAI will showcase current research and deployment-ready software solutions at E-world energy & water in Essen from February 10 to 12, 2026. These solutions support key tasks across the energy industry in practical applications.
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Fraunhofer SCAI will showcase the latest version of PackAssistant at FACHPACK. Packaging planners worldwide use the software in the automotive, mechanical engineering, and supplier industries. With the new pairing function, users can now pack two parts together as a single unit. They can specify how these parts are arranged, giving them more control over the positioning of the components. A new automation interface also allows the software to be better integrated into specific company workflows.
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Alzheimer’s disease is considered one of the most complex diseases of our time. At Fraunhofer SCAI, Dr. Alpha Tom Kodamullil is using artificial intelligence and natural language processing to search for new approaches to personalized therapy. A recent short film on “deutschland.de” provides insights into her research work at the intersection of bioinformatics, artificial intelligence, and medicine.
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