Participating Institutions

Faculty of Engineering

FAU Faculty of Engineering is represented at FAU EAM with members of the departments

• Chemical and Biological Engineering,
• Materials Science and Engineering,
• Mechanical Engineering, and
• Computer Science.

Faculty of Sciences

FAU Faculty of Sciences is represented at FAU EAM with members of the departments

• Chemistry and Pharmacy,
• Physics,
• Mathematics,
• Data Science, and
• Geography and Geosciences.

FAU Profile Center New Materials and Processes (FAU NMP)

A key mission from the very beginning was to develop the former Cluster of Excellence Engineering of Advanced Materials (EAM, 2007-2019) not only as nucleus and driving force for future research in fundamental and applied aspects of advanced materials and processes, but also as spearhead for innovation and most relevant future-oriented research. This highly ambitious goal will be promoted by the FAU Profile Center New Materials and Processes (FAU NMP).

FAU Competence Center for Scientific Computing (FAU CSC)

The CSC is the Competence Center for scientific computing within the FAU Erlangen-Nuremberg. The CSC was originally founded out of the cluster of excellence Engineering of Advanced Materials (EAM), the CSC combines the expertise and experience of a range of facilities within the university. With this, the CSC represents a unique interdisciplinary platform for cooperation, which provides the necessary environment for even the most complex research activities in the field of numerical simulation and scientific computing.

Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN)

The Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (HI ERN) investigates and develops material- and process-based solutions for a climate-neutral, sustainable, and cost-effective utilization of renewable energies. The institute works on the structural and functional characterization, modeling, and processing of materials relevant to hydrogen and solar technology. The common goal is the understanding of structure-performance-process relationship on the mesoscale.