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causing these variations in A and F stars. Using asteroseismology, we aim to detect and analyze near-core and surface magnetic fields. This involves comparing theoretical models with photometric
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus
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). We are aiming at realizing high area materials capitalizing on this insight. A similar system as described above for ammonia has also been established for or CO2 hydrogenation where we also have a long
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your scientific knowledge. The central competences required in this research are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in
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multidisciplinary use of process technology, materials science, solid and fluid mechanics as well as thermodynamics and heat transfer in the analysis, modelling, and development of manufacturing processes. Technology
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opportunity for you. Electrocatalysts are essential materials for producing green fuels and chemicals. Conventional electrocatalysts with two-dimensional active sites, however, have a fundamentally limited