Project overview

The interaction of small and large particles, which occurs, for example, in the formation of clouds and rain, cannot yet be fully modeled mathematically. The CRISP project aims to make this possible using a new mathematical method.

At the CZS Centre SynGen, experts from the Universities of Heidelberg and Mainz and the Karlsruhe Institute of Technology are researching the use of new DNA synthesis and artificial intelligence technologies for revolutionary future applications in biotechnology and medicine.

An environmentally friendly removal of oxygen atoms from organic compounds is being researched for the use of electricity to convert substances into valuable products. The aim is to avoid the electrolytic evolution of hydrogen.

The Carl Zeiss Foundation supports 150 German scholarships at a total of 20 universities in Baden-Württemberg, Rhineland-Palatinate and Thuringia, thus creating scope for young scientists in STEM subjects.

In a circular economy, organic halogen compounds such as Teflon are to be converted electrochemically into new materials and thus recycled. By using surplus electricity, the flexible process could help stabilize the power grid.

The project is developing new therapeutic approaches for the regenerative treatment of neurological diseases such as multiple sclerosis. The aim is to use interactive synthetic biomaterials.

Methods from machine learning for big data are to be applied to questions in atmospheric physics. Among other things, the representation of clouds in climate models and the predictability of weather situations will be worked on.

MAINCE will use AI approaches to identify new and much-needed therapeutics in immunology. Clues to the effect of therapeutics through state-of-the-art imaging techniques will be linked by AI to laboratory experiments to accelerate drug development and make it more efficient.

The project is researching the development of special nanoparticles that transport active ingredients directly into the liver. Biophysical mechanisms and artificial intelligence are being used for this. The aim is to treat liver diseases more effectively and reduce side effects.

How decentralised should data be stored to protect privacy, and how does that affect energy consumption? Conflicts of goals of this kind are analysed in a research centre for machine learning.