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, and gas phase X-ray Photoelectron Spectroscopy (XPS) for complementary information on the catalyst surface chemistry. The ultra-high-vacuum based model catalyst preparation allows us to highlight
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that work individually or in swarms (groups). The focus is on developing methods within control, sensor and communication systems, for such systems. The work involves both simulation and practical testing
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phase-matching regimes, design innovative gas targets and laser-driven generation geometries to increase XUV yield. Successful achievement of these goals promises to revolutionize XUV light generation in
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to predict thermal runaway on the cell level. The combustion and gas model developed on the cell level will then feed into the work to accurately predict thermal runaway on pack, module, and system levels
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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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range of topics. In some research projects the smallest turbulent scales are studied whereas in others the function of a complete gas turbine is analyzed and modelled. The Division of Fluid Dynamics is
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flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling these effects is crucial for industrial applications such as gas-turbine internal cooling