Aim of the Project / Overview
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.
Funding and Duration
Duration: Förderzeitraum: 2021 -
Applying institution: Technische Universität München (TUM)
TUM ForTe – Office for Research and Innovation
National Research Support
TUM Talent Factory
Research and Commercial Cooperations