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  • As part of the Research Fab Microelectronics Germany (FMD), Leibniz IHP modernized part of its research infrastructure over the past three years. Sebastian Schulze conducts research in the field of Al-Al bonding and works in Frankfurt (Oder) on one of the new high-tech devices – a high-vacuum bonder that helps, among other things, to reduce the high temperatures during bonding and thus protects the components.

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  • Dr. Alexander Weiß has taken over the management of the department Multi Device Integration at Fraunhofer ENAS in January 2021. In the current project “Cable Monitoring”, in which Mr. Weiß is active, equipment is used, which was procured within the framework of the Research Fab Microelectronics Germany FMD.

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  • Quantum computing has the potential to massively and sustainably change a wide range of industries and enable numerous new applications. These include, for example, simulations of new materials for more efficient solar cells and batteries, as well as data-intensive applications for artificial intelligence (AI) and cybersecurity.

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  • Optical biosensors have the potential to detect bacteria and viruses within seconds. Patients would no longer have to wait days for their test results, and sterile rooms, medical equipment, production processes and food could be monitored in real time. A new team has been formed at Fraunhofer IMS in Duisburg to make this possible.

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  • Nondestructive testing (NDT) sensor systems are essential for quality assurance in a wide range of industrial sectors. However, the current unwieldy testing system concepts are rather limited. This applies especially to testing, since testing often has to be carried out in areas that are difficult to access. Kevin Becker from Fraunhofer IZFP is researching technologies to facilitate their use.

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  • Can fashion do more than dress? In the “Re-FREAM” project, artists and researchers are working together to find synergies between textiles and technology to make clothing smart. Scientists like Christian Dils from Fraunhofer IZM are taking care of the integration technologies and electronic modules needed for this.

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  • The use of machine learning methods offers novel possibilities for automating and thus increasing the efficiency of failure diagnostics. Together with partners, the Fraunhofer IMWS wants to pave the way for this in an international project. The new methods based on artificial intelligence (AI) will help to capture and evaluate complex failure modes.

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  • Artificial intelligence (AI) can only operate as powerfully as the quality of the trained data allows. In particular, this applies to deep learning, which uses neural networks inspired by the human brain. Tools for labeling camera images are already established on the market, but corresponding tools for labeling laser scanner data are not yet available.

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  • At operating temperatures of more than 1700 °C, researchers face major challenges in developing components for aerospace applications. Dr. Christian Reimann and Kevin Schuck from Fraunhofer IISB found a way to provide such components with cost-effective ultra-high temperature resistant protective coatings. With their idea, the young scientists won the 3rd place in the DLR Challenge of the “INNOspace Masters” 2020.

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