Short description
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.
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ongoing projects
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.
Prof. Dr. Jörg Mittelstät, Professor of Pharmaceutical Biotechnology at Reutlingen University, is researching programmable biomaterials in the "CAR-AdMATRIX" project to enable better and more cost-effective cancer therapy.
The Prisma fund enables Prof. Dr. Alexander Breuer, Professor of Scalable Data and Compute Intensive Analysis at the University of Jena, to expand his expertise from the server to the mobile and embedded sector.
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.
In order to achieve better healing of implants, the project is researching the active control of implant surfaces. Switchable macromolecules are used for this purpose depending on the phases of wound healing.
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.