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  • Fraunhofer SCAI has greatly improved its successfully marketed AutoPanelSizer software. The new version now optimizes plans for cutting rectangular parts much faster. New features and the utilization of multiple processor cores ensure even more efficient cutting plans. As a pure optimization kernel, the software can be integrated into existing plant control systems or ERP/MES systems.

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  • © Fraunhofer SCAI

    With the new website "covid19-knowledgespace.de", Fraunhofer SCAI – together with Fraunhofer IME, Fraunhofer IAIS, the Information Center for Life Sciences ZBMED and other research partners – is opening a new kind of knowledge space with analysis tools and information on COVID-19. Central services in the COVID-19 Knowledge Space are the Biomedical Knowledge Miner "BiK>Mi" containing a highly curated cause-and-effect model for SARS-CoV-2, the literature mining environment "SCAIView", which has been optimized for COVID-19 text mining, and a special terminology representing major entities and concepts of COVID-19.

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  • © Fraunhofer SCAI

    Electricity from renewable energy sources contributes to combat climate change. One of the challenges is to develop technologies for storing excesses in energy supplies quickly and without loss. Organic redox flow batteries (RFBs) promise a viable route to this end: operated where needed, they rely on matter-bound storage – just in analogy to nature's example.

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  • An answer to the challenges of transitioning to renewables / 2020

    Fraunhofer connects energy production and storage

    Research News / January 02, 2020

    © Fraunhofer SCAI

    The good news is that renewables account for nearly 50 percent of electricity generated in Germany. The bad news is that they lack the flexibility to adapt to the day’s fluctuating electricity demand. They only furnish electrical energy when the wind blows or the sun shines. In a perfect world, engineers would find a way to store the vast amounts of energy generated by renewables and coordinate power production and storage. And that is exactly what ES-FLEX-INFRA, a joint project led by the Fraunhofer Institute for Algorithms and Scientific Computing SCAI, aims to do.

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  • New Annual Report 2018/2019 published

    Press Release / May 24, 2019

    © Fraunhofer SCAI

    Fraunhofer SCAI has published its Annual Report 2018/2019. It describes the research in the ten business areas of the institute. It also provides an overview of the institute's numerous software solutions that are used in industrial practice.

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  • A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.

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  • © MEV-Verlag – Jonas Krüger

    The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. For this purpose, the monitoring data is searched for anomalies. By means of machine learning, anomaly detection can already be partially automated.

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