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Service and General Projects


Coordination: Janine Pfezting-Micklich

Mastering the complexity of CCSS surfaces on the atomic scale requires the detailed experimental observation of all accessible and relevant surface features as a prerequisite. Therefore, the S project takes advantage of the state-of the art infrastructure at ZGH and supports all projects in this CRC with the specific characterisation of thin films including AFM, SEM (EDX, EBSD), XRD, FIB, photolithography, XPS and nanoindentation. Additionally AES and LEIS is performed externally. S will also coordinate and foster sample exchange between the projects and support the INF project in experimental data acquisition.

Coordination: Tong Li, Wolfgang Schuhmann

The integrated RTG will support the doctoral researchers working in and being associated with the CRC and provide a framework for their scientific training and education. Education and training of excellent scientists and engineers are important cornerstones of the CRC and a major goal. Since the proposed CRC is highly interdisciplinary, it is of utmost importance for productive cooperation that the doctoral and postdoctoral researchers acquire the necessary cross-disciplinary knowledge for allowing high-level interdisciplinary discussions, creativity, experiment planning as well as documentation in the database. The integrated RTG will therefore offer efficient support structures for the doctoral researchers.

Coordination: Markus Stricker, Lars Banko

A wealth of complex and heterogeneous data will be produced within the CRC with the main objective to master the synthesis, measurement, and design of the surface of CCSS for electrocatalysis. The complexity of this task requires a central data infrastructure and standardised metadata schemas in which all data and metadata is collected and managed. This centrally managed infrastructure will be provided by INF. The infrastructure will also provide sufficient computing capacity to directly deploy materials informatics tools for optimal use of the knowledge contained in the data for all groups, in particular for A05 and A06.