Die beiden Koordinierenden des Innovation Network ARTEMIS Angela Casini und Alessio Gagliardi erforschen neue supramolekulare Materialien. Image: Andreas Heddergott / TUM
Die beiden Koordinierenden des Innovation Network ARTEMIS Angela Casini und Alessio Gagliardi erforschen neue supramolekulare Materialien. Image: Andreas Heddergott / TUM - New supramolecular materials can be used in energy production and medical devices. The team of the TUM Innovation Network ARTEMIS aims to identify the best supramolecular materials for use with the help of machine learning. A team of scientists at the TUM Innovation Network ARTEMIS (Artificial Intelligence Powered Multifunctional Material Design), named after the Greek goddess of hunting, are researching supramolecular materials. They are investigating their use in medicine and energy production supported by machine learning. "The idea of ARTEMIS is to teach machines to find the main determinants for material design," says Alessio Gagliardi, one of the two coordinators of the network and Professor for Simulation of Nanosystems for Energy Conversion at the Technical University of Munich (TUM). The researchers want to show the broad range of applications of supramolecular materials.
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