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  1. Home
  2. Research
  3. Collaborative research
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Current projects

In page navigation: Collaborative research
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Current projects

Current EFI projects

In conjunction with the STAEDTLER Foundation, the FAU EFI initiative makes a decisive contribution to developing strategically important research at FAU. Take a look at current EFI projects.

Development of new and targeted immunomedicine for the most significant widespread diseases that integrates the latest scientific and technological developments in fundamental research, molecular, genetic and pharmacological cell engineering and clinical research and implements these developments in new methods in diagnostics, prevention and therapy for life-threatening diseases.

The project hopes to bring about a revolution in functional materials research: Making a new photovoltaic technology ready for the market thanks to new approaches in the development of new materials. After 70 years of development, photovoltaic technology now provides one terawatt of electricity across the globe, covering approximately 2 percent of total energy requirements. If solar energy is to cover a greater share of total energy requirements, research and innovation must be accelerated to a much greater rate. Our technology is one way this could become possible.

Tumor metastasis remains responsible for almost 90 percent of all deaths associated with cancer. The researchers in this project are dealing with the questions surrounding the complex metastatic cascade and are investigating which factors are decisive for determining whether the scattered cancer cells stay under control or start forming metastases and what is responsible for the further growth of metastases. The answers to these questions will pave the way for a new generation of therapies for preventing and treating cancer metastases.

The aim of the research project is to develop new quantum-classical architectures for three functionalities: computers, sensors and nano machines. In particular, we are working out the physical foundations for integrating hybrid computing architectures on the same chip, for example by integrating classic neural networks on quantum circuits. We will also continue to create monolithic bonds between quantum sensors using photonic and electrical selection procedures in order to create highly efficient quantum probes. Finally, we will investigate whether scalable quantum-classical nano machines can make as yet unheard of efficiency factors possible.

At the microscopic level, all materials of our daily lives are imperfect. The aim of our research project is to produce artificial materials with an atomically perfect structure for the first time. Such materials will not only be more effective, they will also allow new functions. At the same time, considerably fewer resources and less energy will be required for their production and use, without having to resort to toxic or rare elements.




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