Short description
Funding is provided for the creation of an internationally broadcasted planetarium production to celebrate the 100th anniversary of planetariums.
Here you will find an overview of the projects we are currently funding. On average, about 150 projects are being funded. Smaller funding projects are sometimes not described individually.
180
ongoing projects
Funding is provided for the creation of an internationally broadcasted planetarium production to celebrate the 100th anniversary of planetariums.
In the field of 3D metamaterials, the 3D Matter Made to Order cluster is developing customized artificial materials that exhibit a wide range of features not found in nature.
The Prisma funding will enable Prof. Dr. Andreas Hejnol, Professor of Zoology, to establish a new 3D method for describing animal embryogenesis. Recordings of this will be shown at the Phyletic Museum, of which Prof. Hejnol is director.
Machine learning is intended to open up new ways of processing data in human-machine interaction or fully automated. The goal is to improve the efficient use of data and to promote interdisciplinary cooperation.
Dr Simon Krause is a chemist and materials scientist working in the field of dynamic nanoporous framework materials. He studied chemistry at the University of Nottingham and TU Dresden. Since 2021 is a group leader at the Max Planck Institute for Solid State Research in Stuttgart.
The aim of the project is to develop an adsorption heat storage system that can store regenerative heat and provide temperatures above 100 °C, as required in the commercial and service sectors, for example.
What is the perfect place to live for the baby boomer generation? To clarify this question, mathematical methods and AI technologies are analyzed that can support decision-making processes in municipalities.
Prof. Dr. Marco Kuhrmann has been appointed as Endowed Professor for Agile Systems Development (with a focus on regulated domains) at Reutlingen University starting in the winter semester of 2021.
The project objective is to design an AI-based, self-learning digital twin that automatically adapts to changing system conditions and simulates the production process and product life cycle as realistically as possible.
How can artificial intelligence in microbiome research lead to better early detection of Alzheimer's disease or type 2 diabetes? Novel AI models are being researched that are designed to predict the microbiome composition in the event of physiological changes.