Artificial Intelligence powered Multifunctional Material Design
Creating sustainable energy storage solutions and at the same time producing novel materials for regenerative medicine: Both is possible when using the right supramolecular chemical compounds. The TUM Innovation Network for Artificial Intelligence powered Multifunctional Material Design (ARTEMIS) is aiming at the guided discovery of such molecules and at developing them as a unique toolbox for different applications, using Machine Learning and Additive Manufacturing.
Potential applications range from electrocatalysis for hydrogen production to guided tissue regeneration and ‘smart’ coating of medical implants. Data-driven prediction represents a novel and powerful way to boost the discovery, synthesis and the design of new multi-functional materials, as well as for scaling-up and fabrication of devices.
Our research team
- Prof. Dr. Angela Casini (Medicinal and Bioinorganic Chemistry) – Coordinator
- Prof. Dr. Alessio Gagliardi (Simulation of Nanosystems for Energy Conversion) – Coordinator
- Prof. Dr. Aliaksandr S. Bandarenka (Physics of Energy Conversion and Storage)
- Prof. Dr. Roland A. Fischer (Inorganic and Metal-Organic Chemistry)
- Prof. Dr. Stephan Günnemann (Data Analytics and Machine Learning)
- Prof. Phaedon-Stelios Koutsourelakis, Ph.D. (Continuum Mechanics)
- Prof. Dr. Oliver Lieleg (Biomechanics)
- Prof. Dr. Petra Mela (Medical Materials and Implants)
- Prof. Dr. Bernhard Rieger (Macromolecular Chemistry)
- Prof. Dr. Bernhard Wolfrum (Neuroelectronics)